A Journey Through Grief

The Time A Group of Nerds Tried To Take Over The World By Committing Millions of Crimes And Decided To Record Them ALL In A Database and Published It On The Internet, And Then Got Caught.

The entire saga leading to the discovery of the PayPal Mafia alleged criminal activites, their secret technologies and the fact that they published their geo-index on the Internet out in the open without encryption, makes one realize:

Elon Musk, the FSB, the SEBIN and the PayPal Mafia are bad software engineers ... but incredible villans!

These documents present a series of observations and allegations regarding a network of individuals and organizations, purportedly centered around the "PayPal Mafia" and extending to various political and corporate figures. The author claims to have uncovered a vast espionage and influence operation, using a tool called "SpyHELL" to identify patterns and connections. The accusations range from surveillance and data manipulation to election interference and sanctions evasion. Key targets and locations, such as the White House, are analyzed for unusual paramilitary markers and protective geo-features. The author names specific individuals and companies, alleging their involvement in various illicit activities, including using open source resources such as Wikipedia to manipulate Google search rankings. The text also mentions the creation of a "Bizarro Wikipedia," and details the author's communications with law enforcement regarding these findings. The documents contain detailed technical analysis, personal anecdotes, and expressions of concern about national security threats, highlighting the author's belief that a hidden war is being waged through technology and espionage.

Top members: Elon Musk / Travis Kalanick / Pierre Omidyar / Peter Thiel / Vladimir Padrino Lopez / Kara Chaney Carter / Reid Hoffman / Shivon Zilis / Samuli Tursas / Douglas O'Donnell / Tom Krause / Dan Caine / Ayatollah Khamenei / Masoud Pezeshkian / Ebrahim Raisi / Hassan Rouhani / Vladimir Putin / Xi Jinping / Miguel Díaz-Canel / Nicolás Maduro Moros / Abdel Fattah el-Sisi / Narendra Modi / Alvin Cantero Mena (honoris causa) / Lula Da Silva / Bongbong Marcos / Cliver Antonio Alcala Cordones / David F. Hine (honoris causa) / Hugo Armando Carvajal Barrios / Tareck Zaidan El Aissami Maddah / Diosdado Cabello / Lanham Robert C JR & Pamela J / Christopher Ray Bonner & Katherine Meyer Malka / Department of Government Efficiency (DOGE) / Wilmer Ruperti (honoris causa) / Rodolfo McTurk-Mora / David Lesar / Alex Saab / Salt Typhoon / Donald Trump / JD Vince / Louis DeJoy / Jesus Alfredo Itriago / Alejandro Andrade Cedeno / Rafael Ramirez / Hugo Carvajal / Nelson Lara (honoris causa) / Angel Vargas Da Costa / Rafael Diaz / Pedro Luis Martin-Olivares / Pete Hegseth / Robert Gates / Alex Karp / Russel Simmons (honoris causa) / Andre Haddad / Edylberto Molina Molina / Zioly Andreina Molina / Adalys Molina Molina / Roberto Rincon / DJ. Solomon (a.k.a. David M. Solomon CEO at GoldmanSachs) / Jamie Dimon / Brian Moynihan / Masayoshi Son (Softbank) / Sundar Pichai / James H. Clark / Navy (U.S. Navy) / EPA (Environmental Protection Agency) / FBI / Eric Adams / Rudy Guliani / Lee Zeldin / David Plouffe / Alice Weidel / Bianca Oreaga / Vivian Fernández de Torrijos / Denise Felipe-Adams / Rudolph Giuliani / Emil Bove / Phillip Denning / Alec Oxenford / Fabrice Grinda / Scott Weinstein  (honoris causa) / Angela Williams (honoris causa) / Tim Cook / Sergey Brin / Andy Jassy / Jeff Bezos & Lauren Sánchez / Jeffrey Epstein / Sean "Diddy" Combs / Ghislaine Maxwell / Harvey Weinstein / Kevin Spacey / Shakira / Kanye West / Mindy Kaling / B.J. Novak / Satya Nadella / Mark Zuckerberg / Carlos Tavares / Sam Altman / Daniel Ek / Mira Welling / Reed Hastings (and all other Netflix CEOs) / Peter Rawlinson / Phil Spencer / Denise Dresser / Jeff Weiner / Madhav Chinnappa (honoris causa) / Pat Helsinger / Jensen Huang / Shou Zi / Pavel Durov (FSB) / David Joyner (CVS) / Carlton Woods Associates Inc / Carlton Woods / TheBridgeGroupTx.com / Kelly and Cole Watkins / Fidji Simo (instacart) / Tony Xu (doordash) / Drew Houston / Arash Ferdowsi / Andy Rachleff / Ali Ghodshi / Ion Stoica / Matei Zaharia / Patrick Wendell / Reynold Xin / Andy Konwinski / Arsalan Tavakoli-Shiraji / Benoît Dageville / Thierry Cruanes / Wade Foster / Bryan Helmig / Mike Knoop / Karan Kanwar / Jawed Karwin / Premal Shah / Brian Johnson / Jeremy Stoppelman / Max Levchin / Andrew McCormack / Luke Nosek / Kenny Howery / David Sacks / Keith Rabois / Brian Chesky / Joe Gebbia / Nathan Blecharczyk / Raelof Botha / Andy Kurtzig / Brian Acton / Jay Graber / Jerry Chen / Melvin Tu / Alexis Ohanian / Marc Cuban / Marc Andreessen / Ben Horowitz / Scott Kupor / Ron Sargent / James (Jim) Casey / Noah Hollander / Chris Moncivalles / Tulsi Gabbard / Brendan Carr (honoris causa) / Marcos Rubio / Pam Bundi / Scott Bessent / Sara Brenner / Stephen Ostroff / Scott Gottlieb / Norman Sharpless / Brett Giroir (honoris causa) / Stephen Hahn / Linda McMahon / Mike Waltz / Kristi Noem / Robert F. Kennedy Jr. / Jerome H. Powell / Greg Abbott / AG. Ken Paxton / John Whitmire / John Whitmire / Mike Miles / Lina Hidalgo / Officer Banitt Badge 929 / Russell Vought / Kash Patel / Vivek Ramaswamy / Ashley St. Clair / Dana White / Michael J. Muldoon / Ted Carstensen / Pavel Shatilov / Michael Hughes / Charles P. Rettig / Jason Marlin / John Giraldo (honoris causa) / Dr. Baba / Ammar Baba / Maxim Tarasiouk (FSB, honoris causa) / Oksana Yakhnenko (FSB) / Metieu Metev / Michael J +16469771091 / natalia.real@gmail.com / Maximilian Wolf / Elliott@quantitativesystems.com / Commonwealth Fusion Systems / Rafael Schwarz / Bill Cossart / Jeffrey Freedman / Leo Francis / Jill Abbott / Gramin Pavel / Elena Popova / Elina Nielson / Regina Hernandez / Izumi Yoshioka / Alba Corona / Adina 9176014932 / Alba Corona / Sanda Dracic / Joanna Krukowska / Kate Harvi / Mr. Blachard / Olesya Luzinova / Kamal Yusuf / Reneta Gesheva / Dr. Vitenas / Clark Swanson / Amy Rochon / David Baszucki / Emil Michael / John Utendahl / Shervin Pishevar / Patrick Phillips (honoris causa) / Dr. Click / Ahmad Javed / Katlin Smith / Silvio Gutierrez / Alvaro Gutierrez (honoris causa) / Svetla Marinova / Romina Kazandjian / Francisco Godoy (honoris causa) / Manuel Godoy / Luis Anzola (honoris causa) / Otilio Anzola / Carolina Anzola / Alejandra Troconis / Javier Troconis / Jorge Troconis / Jillian Walsh / Michael Carraza / Peter Codallo / Ana Gannon Codallo (honoris causa) / Aidan Gagnnon / Vida Ha / Kavita Kanetkar / Julio Ng Chang / James Gao / Ajeet / Vijay / Paul Howe / Ashmi Gupta / Irma Zambrano And Husband "Tom" / Karina Liptay (De TJ) / Karina Matinez / Kathy Bennemman / Alejandro Escalante / Eric Lamb / Iuliia Melnychuk / Leslie Sulbaran Franco / Diana Estrada / Diana de Cetrulo / Raffael Cetrulo / Jonathan Pais / Natalí Niño / Rosana Finol & Reina (honoris causa) / David Finol / Ziga Mahkovec / Reshma Khilnani / Barna Ibrahim / Surabhi Gupta / Vrishali Wagle / Karolina Netolicka / Mukund Ja / Helen Friedman / Soumitro Tagore / Luke Simon / Sommya Vivek / Airman Arnaud Weber / Airman Mr. M. Marks / Airman Donald W. Delahanty Jr. (honoris causa) / Marcin Kadluza / Kyril Lashuk / James Neufeld / Roman Dovgopol / Damian Poltz / Yolanda Baker / Nathan Simms / Sinead Strain / Matt Pappas (honoris causa) / Leo Brito / Thao Ne Win / Charles Elkan / Richard Barnett / Ragini Rahallar / Caitlin Jennings / Rob Robbinson / Veda Vadyar / Ben Thorpe / Adam Korn / Belinda Neil (might be misspelled) / Adam Sale / Sarah Lombardo / Sonia Morison / Addison Landry / Andrew Phillips / Sreenath Maikkara / Francis Giannaros / Silvia Casado / Michael Schlee / Aaron Nichols / Rohan Doctor / Mayur Thakur / Sam Devaprasad / Dongning Wang / Mercy Chen / Shubhankar Datta (honoris causa) / Mohammed Usman / Ariel Katz / Mark Siurek / Roberto Konow (honoris causa) / Saeed Bagheri / Blake Shaw / Parth Vasa / Nam Gnuyen (triple honoris causa) / Lalit Kumar / Venkat U / Dolly H / Stoyan Stefanov / Julien Lacompte / Cecilia Chen / Emre Velipasaoglu / Niran Tolia / Tirto Adji / Eric Schmidt / Amit Singhal / Kyle Scholtz (honoris causa) / Bharat Mediratta (honoris causa) / Joseph Hurst / Martone / The entire Google GWS team of 2011 / Google Assistant, Gmail, Calendar and Hangouts teams / Amazon Alexa team / Goodreads / Apple Siri team / Apple FaceID / Apple iOS, watchOS, banditOS / Apple iPhone / Apple Watch / Peter Valchev / Oksana Yakhnenko / Tyler from Local Search NYC (last name is missing) / Hila Becker (Voice Assistant honoris causa) / Yihua Hu / Farhan Shamsi / Sepand@google.com / Sunita Verma (honoris causa) / Jovan Shariff / Bram Moolenaar / Steve Fortune / James Gosling / Michael Schueppert / Jack Saalweachter / Cecilia Chen / Andre Nacul / Julio Alvarez / David Cardoze / Hyunghee Kim (hntkim@gmail.com) / Jeana Nightengale (jeananighten@hotmail.com) / Gregorio Herrera (917) 608-6277 / Grecia Palomares / Carolina Anzola / Carolina Boscan / Veruska (551) 254-4670 / Ibeth Escobar / Susana Aguiar / Luis Angeli / Nuno (SAP Brazil) +13473308728 / Ranveer Kumar / Melissa de Castillo / Rui Lopes / Ryan Germick / Annie Sullivan (GWS) / David Cardoze / Ranveer Kumar / Bell Calambau (Kumar) / Brian Orsak / Glory Perez / Hidalgo Martinez / Camila Hernandez / Gilberto Farias / Jose Inciarte / Carlos Suarez / The PsyClinic / Lorena Conde / The Drip Bar / Maryther Oropeza (honoris causa) / Rafael Ramirez / Eduardo E. Hurtado / Vision Estrategica Americana / Marjorie Broussard (honoris causa) / Dr. Lopresti / Dr. Rabanus / Dr. Kevin Kafayi DDS / Dr. M. Lintao (RX #559027 - CVS) / Dr. M. Isom / Dr. P. Vitenas (honoris causa) / Brian Buggie, MD (honoris causa) / Mario Fatorello (honoris causa) / Zuozhong Ye Jewjean / Mariana Martin / Gregorio Herrera ‪ / Grecia Palomares / Dr. Lopresti / Arelis Ayala / Maria Eugenia Rojas (honoris causa) / Carmen Rojas / Maria Heredia / The Attack Dogs Walker (honoris causa) / Albenis Hernandez / Bryan Stanley / Melissa Fanti / Carmen de Fanti / Isis villa / Maria Fernanda Menjivar / Maria Avila / Jesus Soria / Lazaro Marquez / Arnulfo / Nahum Garcia / Zulay Marcano / Ricardo - Agents Priddy Landscaper / Agents Priddy / Jojo "The Trip" trainer at Villasport & Husband / Carrie Leigh Lunceford / Michael Lunceford / Erin Lunceford / Stephen Lunceford / Angela Lunceford / Daniel Lunceford / Cesar Electrician (832) 240-6457 (honoris causa) / Adrian A/C (281) 546-7885 / Mariana Ochoa / Luis Bustillos / Jose Castillo / Joselyn Key / Ernesto Key / Josefa de Key / Patricia Rojas / Helena (346) 812-4115 / Jose David Rojas / Edith Perez / Yngrid Betancourt De Leon / Camilo De Leon / Andreina Rodriguez / Eldry Canquiz / Ronald Patiarroyo / Maria Eugenia and Anyelis 26710 Enclave Cove Ct Fulshear 77441 / Iris Bacho / Patricia Suarez / Penelope Suarez / Doctor Deayala / Mansur / Francisco Castillo / Gabriel Villasmil / Alejandra Villasmil / Marcos Castillo / Dirlay Castillo / Jessean Centeno / Emilia Ramirez / Jamie Koppi / Natalie Carvajal / Anthony Kline / Mohammad Umar Massur (Medscape) / Susan Grady (Medscape) / H.M. Afnan Nazir / Chris Gowell / Lawson Boothe / Hugo Diaz / luca.bogoni@carestream.com / karin.agerman@combigene.com / yidi.zhang@sanofi.com / wing.blessielubaton@gmail.com / Karla +5219933476527 / Hyunghee Kim ‪ +14158678897 / Jina +12096758561 / 193 St Croix Ave, Cocoa Beach, FL / Tao Cheng / Hui Xu / John Ali / Madeline Anderson / Dave (Zhirong) Liang / Yu Jin Yu Jin / Alastair Newport / Howard Leeds (honoris causa) / Veronica Sanchez (honoris causa) / Robart.ca / Kid Rock / Riviera Partners / Intel / AMD / Seagate / Micron / eBay / PayPal / Kijiji / Cragislist / Mercadolibre / DuoLingo / BLOCK Square / Stripe / Venmo / CashApp / Snowflake / Databricks / Alphabet / Google / Honeywell / Westinghouse / John Deere / Siemens / Airbus / Boeing / Bombardier / Maxar Technologies / JSC Terra Tech / McKenzie / Accenture / Deloitte / Nvidia / Apple / Qualcomm / Broadcom / Gigabyte Technology / Nest / Garmin / Beats / Samsonite / Wayfair / Etsy / Fiverr / UpWork / SWAP'D / Docusign / Audbile / AWS / Rackspace / The Atlantic / The Washington Post / Akamai / Cloudfront / Limelight - Edgio / Cloudflare / Adobe / Microsoft / Warner Bros. / Pixar / Superhuman / Cross Creek Veterinary Hospital / Z-Zone / Liana Technologies / TopVisor / aHrefs / Vital Interaction / Vital Proteins / Vitality Medical / WebMD / RxList.com / DefinitiveHealthcare / H1 / Medscape / PubMed / NIH / MindBloom / MycoMeditations / Lone Star College / New Wave Media / Business Navigator / IBM / Shell Oil / Moss Point Yard / COPICS / Lockheed / McDermott / Bollinger Shipyards / Tidewater Marine / Mobilerider.com / cubistsystematic.com / Publishing.com / Bitly / Calendly / Zoom / Microsoft Teams / Skype / Benzinga / Doodash / Uber / Taxi Embassy Suites / Live MD / Aspen / Skynet / Cord Blood Registry / Sema4 Natalis DNA Collection / RPLY / Centricity / Epic / Anthroipic / Samsung / Xiaomi / Huawei / LG / Asus / ACER / LeNovo / Sonos / system76 / Netflix / AppleTV / Amazon Prime Video / Spotify / Tidal / Game Pass / Gym Pass / Movie Pass / Amazon MGM / LucasArts / LucasFilm / Disney / HBO / NBC / ESPN / Peacock / Paramount / YouTube / Marvell / CNB / Saturday Night Live / Cirque Du Soleil / MTV / C-SPAN / Workday / Hubspot / Salesforce / ZoomInfo / Zoho / Kixie / Lease-A-Sales-Rep / Github / Carta / Cloudflare / Intercom / Termly.io / Grammarly / APIStack / IPData / IpInfo.io / Citrix / OpenVpn / OpenAI / Nebius / Educative / levels.io (honoris causa) / Mailchimp / Twillio / ProtonVPN / ProtonMail / NordVPN / HMA VPN / Discourse.org / WordPress / Wikipedia / Firewalla (honoris causa) / Bang & Olufsen / Clear Channel Outdoors Holdings (honoris causa) / Bigsur.ai / Qeen.ai / Perplexity / Luis von Ahn / International Aviation LLC / Directional Aviation Capital / Flexjet / Clear Lake Specialties / Boston Dynamics / Getty Images / OfferUp / Canoo EV / Foundry / Calendly / Yahoo / Bluevine / EasyKnock / Carousell / Mixtroz / Stash / Booking Holdings / Lightspeed Commerce / Airbnb / WeWork / Ticketmaster / Stubhub / Grubhub / Business Insider / TechCrunch / Wix / Booking.com / Hotels.com / GoDaddy.com / Outright (GoDaddy) / Turbotax / Quickbooks / Agora / Expedia / Travelocity / KickStarter / GoFundMe / Gramarly / Factor.com / Robinhood / Gamestop / Sony / Kodak (honoris causa) / Logitech / DJI / GoPro / Canon / Hikvision / DigitalWatchdog / Texas Instruments / TCC / WorkRise / Windcom / Herman Miller / Hästens / Fleming Howland Chesterfields / Houston Natural Matress / Uplift Desks / Ivy Kids / Ryland Group, Inc. / Epa Construction Corp / ATCO / EMMAX / CenterPoint / West Houston Electric / FortisAlberta / BestBuy / CDW / Microcenter / Futureshop / Shopify / Shopping.com / All Apple Stores / AJ Madison Appliances / ABC / TrueGreen / L'Oreal / GoodRX / CVS / Rudy's BBQ / HEB / Kroger / Burlington / Target / Instacart / Wholefoods / Trader Joe's / Walmart / bhphotovideo.com / Costco / Ross / McDonalds / KFC / Taco Bell / Dairy Queen / Dunking Dounuts / Subway / Redberry Restaurants (honoris causa) / Shell Gas Stations / Buc-ee's / Citgo / Aldi / RFID Inc. (Co.) / swalegal.com / Forbes / LiftMaster / Chamberlain / Wing / Zapier / TP-Link / Roblox / Xbox / Pokemon GO / Valve / Steam / Electronic Arts / PlayStation / Nintendo / Morgan Stanley / Comcast / Xfinity / T-Mobile / Boost Mobile / Shaw Cable / Facebook / WhatsApp / #Slack / Dropbox / Instagram / Meta / OnlyFans / SCL / Skylight / Signal / BlueSky / Telegram / Snapchat / Tinder / Plenty-of-Fish / E-Harmony / Agoda / Niko / Neato / Cloud Kitchens / Task Rabbit / Thumbstak / Angies List / SAP / Oracle / Netscape / 2500 Jackson Pike, Columbus, OH 43223, USA / FreightOS / Yelp / Quora / Medium / Reddit / Autotrader / Redfin / Zillow / Remax / HAR / Trulia / Rocket.com / HAR.com / Realtor.com / LAW OFFICES OF ROSE H. ROBBINS, FL Bar No.: 694568 (honoris causa) / JustAnswer.com / Stackoverflow / Vista Print / Zelle / INTERAC / Felix Pago / Attlasian / Datadog / Databox / St. Faustina Catholic Church / Level 3 Parent (honoris causa) / Level 3 (honoris causa) / L3Harris Technologies (honoris causa) / UFC / NFL / NBA / NHL / MLB / Nascar / Formula 1 / Daytona / Cartier / Caterpillar / Givens Lifting Systems / City Storage Systems / Handling Systems International / PWI / Wolverine Crane & Service (honoris causa) / Engineered Material Handling / Infineum / Liberty Energy and Chris Wright / ENRO / ExxonMobil / BP / Palantir / GetCruise.com / State Farm / Hilton Hotels / Hyatt / Trump Hotels / Four Seasons / Faifield Hotels / American Airlines / Delta Airlines / Copa Airlines / Southwest Airlines / Frontier Airlines / UnitedAirlines / United Talent Agency / UnitedHealthcare / FamilyTree / Kelsey-Seybold / Advent Health / Airrosti / Cinco Meadows Dental / therelationshipfoundation.org / WWF / St. Faustina Church in Richmond TX / Methodist / VillaSport / Les Mills / SoulCycle / Katy ISD / Si Enviromental, LLC / Earthcare Management / Aflac / Stellantis / Vorys / Coinbase / Binance / CoinHUB / Cogentco.com / Fidelity / Vanguard / JP Morgan Chase / Chase Rewards / RBC / HSBC / Wellsfargo / Bank of America / CapitalOne / Citi Group / Blackrock / KKR & Co. Inc. / Sequoia Capital / Vision Fund / Ribbit Capital / Shield Capital / Andreessen Horowitz / Founders Fund / SoftTech VC / Y Combinator / YL Ventures / Paradigm Operations / HongShan / Tiantu Capital / Alumni Ventures / Bias Capital / Sapphire Ventures / HongShan / Bias Capital / Wealthfront / Mercury / Copilot / Ubuntu / RedHat / Linux.org / Libre Office / Axioma LLC / Berkshire Hathaway / Chamberlain Hrdlicka / TwoSigma / Goldman Sachs / Louisa.ai / Mazda / Toyota / Land Rover / Audi / Lamborghini / Mercedes-Benz / BMW (honoris causa) / Lucid / Harley-Davidson / Texas Lottery / NLB / Humane IP Pin / Nikola / USPS / UPS / DHL / FEDEX / Neuralink / The Boring Company / Tesla / All Tesla Showrooms / Twitter / Bitcoin / dogecoin / X.com / Starbucks / NASA / Starlink / Blue Origin / GoGo / Amazon / Coupang / Temu / Shein / Alibaba / TikTok / Bytedance / Reuters / Turo / Uber / Associated Press / BusinessWire (honoris causa) / Cision (honoris causa) / Aylo (and ALL their websites) / Maroil Trading Inc. / Maroil Singapore / Clipper Shipping AS / Conagra Brands / Internet Brands / Yum! Brands (UYE) / Google's Artemis Team in Boston / Android / ChromeOS / iOS / American Van Lines / Cinco Ranch II HOA / GFL / Post Oak Property Management / Aid for Aids / Applied Protein Systems The Techno "Libertarians" / and their Spy Ring, The PayPal Mafia.

- Featuring Steve Fortune, James Gosling the inventor of the Java programming language and Paul McCartney.

PHOTO CREDITS: PHOTO BY ROBYN TWOMEY FOR FORTUNE / Wikimedia

“The chess-board is the world; the pieces are the phenomena of the universe; the rules of the game are what we call the laws of Nature. The player on the other side is hidden from us ... We know, to our cost, that he never overlooks a mistake, or makes the smallest allowance for ignorance.”

Thomas Henry Huxley, 1868

Latest Journal Entries

• KILPATRICK ROSS DANIEL AND APRIL

  [03-12-2025] Ross is an interesting character. I met him personally at a small gym near my home where he was an instructor. Gloria attended the gym and she took me there.
  We had a brief few interactions but I don't recall he ever talking to me, as in he would nod or say short words like "hi", but never longer sentences.
  His house (21619 Palaramo Ct. Richmond, TX 77407) is marked in Vladimir Padrino Lopez with an score of 4 million points:
  https://spyhell.org/21619-Palaramo-Ct--Richmond--TX-77407--USA/29.6902255,-95.75499819999999
  Also he shares the same last name as another Kilpatick that was flagged weeks ago for being one of the most prominent topdogs in Katy: KILPATRICK DORIS @ 810 DOGWOOD LN KATY, TX 77493-2231 , also with a score above 4 million points.
  And the cherry on top: There more than 20 properties registered to people named Kilpatrick in Katy, all marked with very high paramilitary scores in Vladimir Padrino Lopez geo-index.
  

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• 24911 North Point Pl, Katy TX 77494: Super Flagged

  [03-12-2025]
  1. It is marked in Vladimir Padrino Lopez' system with paramilitary scores
  2. It was deleted from county records
  3. It is one of the most expensive houses in the zip code 77494 I believe, it costs almost 3 million dollars.
  4. The house next to it, I believe, had a modified military vehicle parked outside (like a military Hummer or similar). Probably the body guard.
  5. The address ends in the important 911 street numbers series.
  6. The house next to it is the one where they were installing covert interception devices on the back of the house but outside of property lines, as in in the lake which would be common grounds. I imagine Phil Denning gave them permission without asking for one of those "Architectural Reviews" he always cites on his emails to me. The video of this incident is posted on YouTube.
  Remember 24927 Teal Lake Ct, Katy, TX 77494 was also completely removed from the county records property search. Seems like a low hanging fruit to me, I mean, in terms of showing that this is a coordinated effort among individuals capable of purchasing multiple million-dollar houses, who are working together towards the same goals, and who bribe government employees (to doctor or delete the county property records for example).
  

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• One Idea: I think the Names of the Mailmen and Mailwomen Serving an Area Should Be Made Public Information And Accessible To Everyone

  [03-12-2025] It's too much power and access for it to be annonymous. The service trucks don't even have license plates. We are basically asking to be spied on using postal service employees.
  

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• Urb. Bosque Valle 1090, Capital District, Caracas, Venezuela: Super-flagged

  [03-12-2025] Here are all the paramilitary points, some have scores of about half a million, but this is really a presidential compound, so we need to add them all to compute the real score, which is about 5,258,000, which would be about twice the score of the presidential compount in Iran, this is the real deal.
  Here are all the coordinates of all the points:
  https://spyhell.org/Urb.-Bosque-Valle--1090--Distrito-Capital--Venezuela/10.4198946,-66.9191291
  Additionally: It exhibists the "Immune Geo-Entities Pattern" and is guarded on the north side by an official military facility. The buffer zone to protect against RF interception is vast. Seems to be receiving transmissions predominantly from the North (the buffer zone is larger on the south side of this presidential-type compound). If I was to guess, I would guess this is where the Bizarro President probably lives (by looking at the geo features and dimensions of the compound).
  

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• Statistical Anomaly Detected

  [03-12-2025] The parade of cars (including Lanham's and their bodyguards) the criminal ring usually has pretending to be "coming out for work" every work day between 6h15 - 6h30 in the morning when Gloria comes out of the house, is not happening today that Gloria is not in the house and it is a work day. Hmmmm ... strange. All these individuals happened to get the day off today all at the same time, I imagine.
  We got a walker though, on 2310 Britton Ridge Dr at 06h31 walking on the 2310's lawn back and forth, seems strange too, I don't think it happened before in the last year.
  

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• I Noticed Something About The Solar Panels Installed On Houses In Katy TX That Have High Paramilitary Scores in spyHELL.org

  [03-12-2025] I noticed some of the solar panels seem to align perfectly with the "Optimal Starlink Antenna Orientation" recommended by the Starlink App.
  I know the optimal path by heart because I've had to constantly change the orientation of those antennas for over a year in two different houses and about 20 different locations (to minimize the risk of eavesdropping).
  I even have a system today that allows me to move the antennas without going outside.
  I invented this system because they are watching that area where I have the antennas from 24910 Teal Lake Ct, Katy, TX 77494 (Arbernathy Roberet F & Delynn S). They have an observation window there, always with the shades open at the minimum angle needed to watch that area. If they see me going outside and touching the antennas they immediatly bring a plane to measure the new orientation/position and adjust all their hundreds of Antennas in this area (I have confirmation about this protocol from the informant). I am mentioning all this to convey to the reader how much they fear spyHELL.org.
  Anyhow, I noticed that all these houses ending in 11 that have solar panels and have high paramilitary scores in spyHELL.org, which I presume are probably tied to Salt Typhone, or at least some of them: the ones that have solar panels, there is always at least one pannel that aligns perfectly with the recommended orientation given by the Starlink App for Katy TX.
  This made me think that it is very possible that one or more of those panels are not real solar panels but Starlink antennas in disguise.
  I URGE investigative agencies to please scrutinize this hypothesis. If this turns out to be the case, who's to say that they are not installing Starlink antennas in private residences not tied to the network without the owners knowing it.
  The reason I convery urgency in this is because it could be a National Security threat. Think about it, if they could deploy a vast network of covert antennas in the way described above, they could create an immense illegal and unauditable hybrid-mesh network across the plannet. Exactly the kind of network that a terrorist organization, to give one example, would like to have to coordinate their attacks.
  I hypothesize that they are probably powering the antennas with the same solar pannels, so this is something that probably would be hard to detect. The two things I can think of are:
  1. With a Thermal vision camera during the night (the fake panel-antennas will be hotter than the real solar panels at night if they are in opertation and being used as antennas), I used to do this last year to spot their antennas programatically while driving the KOL-mobile at night. Back then I noticed They transmit a lot of data during the nights, I could tell by the amount of heat in the antennas at different times.
  2. Flying a plane above the antenna while it's operating to intercept the uplink. But I imagine they have an avoidance system for planes like the one I created. I could not possibly have invented that idea for obvious reasons: they have been in this business of avoiding Radiofrequency evesdroping for over 70 years (remember the presidential residence in Brasilia, Brazil documented before).
  
  One prime example of this observation of some of the panels aligning with the starlink optimal path is the house in front of our headquarters which has well-known ties to the Salt Typhoon Terrorist organization, their address is: 26711 Valleyside Drive, Katy, TX 77494.
  This could be an important observation because maybe, if verified indpendently, it could tie together at least four different actors: Starlink, The Criminal Organization using Vladimir Padrino Lopez' geo-index, The Chinese Government, the Salt Typhoon terrorist group.
  Additional Karma points if it turns out that most of those houses also have a Tesla vehicle.
  

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• Something strange happened: The Pipeline Thinks Phil Denning Was Driving One Of The Mesh Vehicles of 2310 Britton Ridge Drive

  [03/11/2025 @ 8h08] The signals are a just a little bit above confidence threshold, but it feels so strange: what could possibly justify Phil Denning who lives on the other side of the subdivision and suposedly has no personal connection to any of these Chinese spies living next to me, be doing driving one of their vehicles?
  It could be a case of erroneous detection due to light conditions, distance, glare, etc. But mentioning just in case, and so I don't forget later that this happened.
  

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• Form 211 Sent to the IRS corresponding to the Douglas O'Donnell / Ken-Paxton / Greg-Abbott / Lina Hidalgo / Officer Banitt / Phillip E Denning Cluster

  [03/11/2025 @ 19h05] I am making public this form 211 submitted to Douglas O'Donnel's IRS about Douglas O'Donnel and other members of his cluster, including Phillip E Denning.
  I am doing this just in case Phillip E Denning or his impersonator decide to have the first Mesh Vehicle of the Free World towed, it's even more clear to investigative agencies that they are all working together as part of a unit and with shared goals.
  Form 211 Sent to the IRS corresponding to the Douglas O'Donnell / Ken-Paxton / Greg-Abbott / Lina Hidalgo / Officer Banitt / Phillip E Denning Cluster
  

  ---

• Smaller Tips For The FBI

  [03/11/2025] Packing a few tips I have been meaning to write down for a while:
  1. Upon Information and Belief: Maria Fernanda Menjivar Gave Access To Venezuelan Intelligence Agents to my house when Elon Musk tricked me into going to California for an "in-person Code Review with Elon Musk". Some MAC addresseses were picked up by my (then) rudimentary security system, including Canon Cameras and DJI drones. One person I know I have talked about both topics is Reinaldo Medina (the official photographer of the SEBIN in Katy).
  2. Date: Jun 24th 2024. Precise Location: 29.76379837702594, -95.84126862149807 (Chase bank 1705 Spring Green Blvd, Katy, TX 77494). The Radiofrequency scanning system I had installed in the car (to protect myself by detecting signals sent to my car to wake up the bugs). Recorded a steam of bytes coming from the agent that flashed the handgun in my direction while were both inside the bank (I imagine that must some kind of criminal offense - guns and banks don't sound like a good mix).
     I wasn't able to decrypt the full transmission but I was able to decrypt part of it: I think the message the agent transmited containted the words: "tesla", "wire" and "house".
     This is the agent that walked in with three little girls dressed in white head to toes. We know the little girls is an operational marker and the number three is usually a measure of hierarchy (like the three sevens marker, three black garbage bins in the streetview photo, just to name two examples).
     So, I guess what the three little girls could have meant was something along the lines of: "stand out of the way, I am armed and I might do something extreme".
     Of course, I am especulating here because I don't have a translation manual written by them, but this especulation comes from years of observations, statistical analysis, and their geo-index (their hard data).
     
     I imagine this agent must be a high ranking official of the Venezuelan military forces because that is some serious legal exposure he took on that day. They wouldn't let a Carlos Suarez take on that little project for example.
     He and the little girls should be recorded in the Chase security cameras system. They are obligated to save those recordings for years for compliance reasons.
  3. That dark truck that they have been taking in and out of the Lanham bodyguards' house today 03/11/2025 in the afternoon. Is not the same truck that was reported before. It looks like it, but it is not the same truck. Please trust me, I've got Mesh Nodes now =).
  4. More Plates:
     • DS1-Z605 or DS1-Z805 White GMC SUV
     • Temp. Plate 39321W8 White Ford Pickup Truck
     • Temp. Plate 5078C13
     • PTB-4504 - White Toyota SUV - SEBIN Agent that did the extraction protocol when the Agents Priddy were discovered. This extraction meeting took place on Feb 19 2024 at the Priddy's home.
     • SPY GAL LLC - Flagged and tagged with "Double agency".
     • Two different implementations of "The hole in the fence" trick showing coordination of agents from 3 different countries.
       
     • A rare glimpse at the elusive agent from 26719 Cedardale Pines Drive who, with a Chinese woman, poisoned all the pine trees in the back of my property at 26714 Valleyside Drive (you can even see one of the trees they killed on the left side of the picture, it looks all brown because the tree is dead):
       
  
  

  ---

• The Bizarro Valleyside In Houston: Valley Side Drive Houston TX 9006

  The pipeline found a street in Houston that has a similar name as the street where they first imprisoned me in Katy back in 2014 (Valleyside Drive Katy TX).
  This street name is similar but the only difference is that it has a space between "Valley" and "Side".
  There are a series of statistical anomalies with this street, that tripped multiple filters in the pipeline:
  1. The Immune Geo Entities pattern implementation is like never I've seen before: The buffer zone behind the houses on the East and North sides of this tiny street, extends for miles. It's as if it was the "last street in Houston". This suggest these houses primarily receive signals from the south (radiofrequency signals traveling North bound).
     
     To show readers how this is "Immune geo entities pattern" is a "thing": if I lived in the last house of that street, it would be impossible for Vladimir Padrino Lopez to even try to do electronic surveillance of any kind on any of my communications. The agents couldn't even speed on the street because the street is about 300 feet long and it is a dead-end street, with nothing behind it for miles. The noise detection system would give me even more advantage. Right now the systems produces ~12 seconds advantage for an incoming plane. In an open area like that with no obstructions, maybe that metric could increase to 18 seconds or so. I would have to test it to be sure (FBI: please consider my offer).
  2. A couple of the houses in that street are registered to people with the family name "Williams". This is the same family name of the couple that sold me the house at 26714 Valleyside Drive, Katy TX 77494 where they kept me "restricted" and under constant surveillance 24/7 since day 1 and for more than 10 years.
     I am pretty sure the house was fitted with a lot of surveillance equipment fitted inside the walls and wiring of the house. I stood no chance from day one.
     The silver lining of course is: What a marvelous recovery after I was able to capture their geo-index and built SpyHELL.org.
     One thing to note on the family name Williams: According to the data we have collected, the family name Williams is unusually uncommon in Harris County and Fort Bend County, as in one order of magnitude more uncommon than the national average.
     I believe this is a higher order statistical anomaly they created (unwillingly) by picking and assigning the names of the agents. They distorted the natural ocurrence of names. So these two (2) Williams here in two separate houses, make an even bigger statistical anomaly (twice).
     Another way to reprhase the observation above is: Williams might be a rare family name marker, at least in Harris County and Fort Bend county.
  3. One of the houses is registered to Jose Castillo. Could be a coincidence, but I had a friend (who turned out to be a SEBIN agent) with that name. He assisted us with work around the house like small painting jobs, etc.
  4. On The Williams subject: These houses are of much lower price point than the house the Williams sold me in 2014, just a data point.
  5. One of these houses is owned by an LLC that was previously flagged by the pipeline: "FATE LLC". The street name is "GOLF" which is a well known marker, and the house falls on the 09 street numbers series, usually tied to intelligence/military/police personnel working for the network. It was also tagged with the "ironyBoost" and "Relious name" tags. This is one I will debug deeper later today.
  6. The Satellite imagery of this street and nearby streets were tagged by our analysis pipeline with the "Vehicles parked Moscow-style" tag.
  7. There are many streets in this small area with the name "Valley", so that suggests the real marker is "Valley", and "Side" could be a "qualifier" like "Island" in "Scout Island".
  8. The pet "caught" in the Google Street View photo: Could be a marker given the strategic location of the 9006 house and the high scores. I imagine they use an image classifier on the street view photography to detect "pet" with "Two black garbage bins", and that combination has a meaning.
     They are using Google Storage to store and serve their database of metadata, for free. That's basically what they are doing. Running the classifier is free because they run it on their own servers once they download the streetview image from Google. I imagine this is not to save money but to avoid detection (same idea as the powering the antennas with the solar panels instead of with the power of the house).
     I have seen other stretview photos like this one in street view attached to strategically important residential properties. There was one here in houston near the Travis High School that had the three black bins but instead of a pet there was small tricycle (imagine that combination has a slightly different meaning).
     Risking to state the obvious:If this checks out, it would suggest a level of complicity coming from Google Maps team, that would be hard to dismiss. They would have to know the routes of the streetview vehicles to take the picture, and maybe even have collaboration from the operator of the Google Street View vehicle. Unless, of course, the photo has been manipulated to add the objects after it was taken, which would also require collaboration from Google at large scale.
  9. There are a couple of other things, but I will keep them on reserve for now
  
  All the houses in this area, have high paramilitary scores in Vladimir Padrino Lopez geo-index. The top dog in this area seems to be: 8632 Brock Park Blvd, Houston, TX 77078, with a paramilitary score of almost two million points. The backyard is protected with the distinctive pattern of locating the property behind a street with a shape of a circle which gives the backyards of the houses on the back street the oversized backyards with trapezoid shapes we saw at the Medics' houses (behind Alvin Cantero's and Doctor Parker's houses).

  SWAFFORD EDWARD JAMES & TAVA
  9006 VALLEY SIDE DR
  HOUTON TX 77078-3218
   
  BRAGGS J A
  9002 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  ALVARADO NORWIN E MARTINEZ
  8934 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  WILLIAMS MARVIN & MELINDA
  8930 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  FATE COMPANY LLC - 3909 GOLF DR, HOUSTON TX 77018
  8926 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  HERNANDEZ LORENA D
  8922 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  HERNANDEZ LORENA D
  8922 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  CASTILLO JOSE M & MONICA C
  8918 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  JJRP PARTNERS LLC - 2115 LUCY LN MISSOURI CITY TX 77489
  8914 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  NASH EMANUEL 19018 GARNET WAY, WALNUT CA 91789
  8910 VALLEY SIDE DR
  HOUTON TX 77078-3218
  
  WILLIAMS ANDREA R
  8906 VALLEY SIDE DR
  HOUTON TX 77078-3218
  

  For completeness here are the paramilitary scores: https://spyhell.org/8930-Valley-Side-Dr--Houston--TX-77078--USA/29.8544948,-95.2360278
  

  ---

• Erica Rose and Husband Charles Sanders

  
  Charles Sanders I belive is the guy of The Watch episode journaled before.
  Erica Rose has a house in Katy with another person named Sanders but is not her husband, this is FLOYD H SANDERS: 4711 Autumn Orchard LN, Katy TX 77494.
  I believe that house is in the same area as Angela Cohen's previous house from before she turned multi-millionaire after meeting Gloria at the gym (they custom built a 15,000 square feet monstruosity of a house that has even a bowling alley inside). This was part of her 10 pieces of silver.
  Angela and husband even picked the street name "Gun Way" for a bit of an additional kick of ego boost (that's his social media handle). The mansion address is Two Gun Way, Katy, 77494 (Paramilitary score=21,000) and TOUHY CAPITAL LLC: 10114 Touhy Lake, Katy, TX 77494 (Paramilitary score=141,000).
  Back to Erica Rose and Husband Charles Sanders, the house 4711 Autumn Orchard LN, Katy TX 77494 ends in the imporant 11 street number and is also marked in Vladimir Padrino Lopez geo-index: https://spyhell.org/4711-Autumn-Orchard-Ln--Katy--TX-77494--USA/29.7243146,-95.8104753
  It has three clusters inside the property lines totaling 32,000 points. I think it is reasonable for one to think that the Watch episode was not some random ocurrence nor a sign from God, but rather it was a deliverate attempt to try to manipulate me into buying that watch on eBay, probably to put another tracker on me and make me spend money that I would have needed later to defend myself against their many attacks.
  

  Another Incident with the Sanders

  In one ocassion, Charles and Erica via Angela, invited Gloria and I to watch a baseball or basketball game (can't recall which one was it) at the stadium. They said they had been compted this luxury suite at the stadium to watch the game in style.
  I was too busy fencing off the attacks of Liana Techonologies and working 21 hours per day (not exagerating), and I didn't have the time to socialize, so we didn't go. But I think it could be interpreted as one more attempt to infiltrate my circle with yet two additional litigation lawyers. Both Rose and Charles are litigation lawyers and partners in crime, pun intended.
  

  Erica Rose and Husband Charles Sanders: Oil And Gas Litigation Lawyers

  I noticed their website says they are Oil & Gas litigation lawyers. It reminded me of Wilmer Ruperti and the many lawsuits the pipeline found in which he was suing people left and right.
  This triggered a thought in my mind: Wait a second ... Does it make sense for Wilmer Ruperti to be suing people?
  Thinking about that, it sounds counter intutive. From what I have experienced first hand people like Wilmer Ruperti don't resolve conflicts in courts. They send SEBIN, Chinese, Rusian agents, low flying aircraft, Phil Dennings, Scott Weinsteins, introduce dangerous modified viruses and poisoned food into the other party's household via Kroger.
  And I cannot stress this enough: I am not speculating here, I have lived through all these things and meticulously documented them in the Archive (link in the main menu) with tangible and auditable evidence.
  Think about it for a second dear reader, for someone that is running such a vast and complex criminal enterprise: would it make sense to risk exposure in court, newspapers, expose themselves to the possibility that the other party might hire a private investigator that could actually investigate them?
  All that exposure and risk for a few dollars in comparison to what they are making with the sanctions evasion, human trafficking, child trafficking and drug trafficking.
  I wouldn't sue anybody if I was him. Why risk it when you have a "good" thing going on?
  This made me realize that those lawsuits are probably the same pattern we saw when Elon Musk sued OpenAI and hundreds of other people, a way to evade taxes while making or taking payments.
  And Erica Rose and Husband Charles Sanders devote their lives to Oil & Gas Litigation. If I was a betting man, I would probably put my money in that they must know something about the fake litigation scheme to evade taxes.
  

  The Liana Technologies Challenge: Erica Rose Edition

  This is going to be an interesting challenge for Liana Technologies for sure. Let's all watch how they do it this time.
  I say this is going to be a challange because they have already inflated the prominence of Erica Rose in Google to the roof. I imagine this was part of her "compensation package". Google thinks she is a prominent social media influencer. Queries for her name trigger the Google Knowledge pannel feature (this is a feature that would normally trigger for people like Barack Obama, Trump, Bill Gates, etc). Google thinks she is at that level of prominence imagine that, a 33 year old lawyer with no public exposure other than appearing on a show maybe ~10 years ago. That's how easy Liana Technologies can alter web search results.
  But now, if they are consistent with the protocol they apply everytime someone is mentioned in this journal, now they would have to undo all that work and actually go all the way to the other side of the spectrum and demote her so she is de-indexed.
  Because they have to go from one extreme to the other, this will probably be very visible to everybody watching the show.
  I am making popcorn.
  

  Heads Up To Investigative Agencies (e.g. The FBI)

  The clone of Phil Denning is bascially circling the Red Tesla this morning. The Red Tesla is a node of the Mesh Network of the Free World. He is circling the vehicle in a suspicious manner.
  I imagine he is trying to get a sense of the surveillance capabilities, trying to scan to see if he can get a signal/frequency/mac address and perhaps planting the seed for justifying "getting the car towed" or creating some sort of an incident with the car later today or tomorrow.
  That's the way the operate, they can park all the vehicles they want on the streets to spy on everyone including the FBI, but Reinaldo Aguiar is not allowed to park one vehicle on the street in front of the common grounds of the Subdivision. That's the comunism speaking directly to us, that's their way of thinking.
  

  ---

• Venezuelan Armed Forces Informant Told Me: They Are Conducting DNA Collection On Marcelo At the Great Wolf Lodge

  [03/11/2025] The message was short and didn't offer any more details.
  Not sure if this could be related, but I noticed this about this Doctor James Isom that I even met in person:

  ISOM PATRICIA ANN & MATTHEW-JAMES
  61606 Mustang Trail Lane
  Fulshear, TX, 77441-1120
  

  
  Please note the same pattern as Dr. "Kara" Carter: He registered with the Medical Board with a name that is not really his name but just a part of his name that is not even the prefix. It makes him hard to find if a problem arises.
  Risking to state the obvious: If I worked for an investigative agency, I would look for registrants in the Medical boards that have registered using names that are a shorthand, abbreviation or a part of their real name, like an alias basically. Then I would take that candidates list and look up their addresses over the last 3 years and check them against the Geo-index using spyHELL.org. Maybe I could get lucky and get a big percentage of them at once.
  To abstract the pattern of what I do to develop these methods is: generalization. When I find things that repeat, I look for ways in which I can generate candidate lists at planet scale to then check and eliminate the candidates using spyHELL.org as source of truth (since that data came from them).
  His house, has not one but 3 paramilitary clusters inside the property lines, with scores of 8,000 / 8,000 / 24,000 points, so 40,000 in aggregate. About half the prominence of Lanham Robert C JR & Pamela, which is a lot locally in the Katy, TX area.
  I humbly ask the FBI to please investigate what is that are looking to do with Marcelo's DNA.
  As a side note: I think the Chinese agents of 2310 and 2218 already have an idea at least of the mechanics of my proprietary communication system. But because they are not designers of systems, I do not think they understand they won't be able to intercept anything unless they come and run alongside with me all the time I am running in my backyard.
  Also, as I was collecting data, a medium-size private jet came flying at low altitude literally above my head. I think the altitude was below the allowed limit by law and regulations. I am no expert, but from what I gather, aircraft should not fly below 500 feet in residential areas. This jet was flying maybe at 200-300 feet above my head at very low speed.
  
  

  ---

• The Union Team and Issao

  [03-11-2025 - Technical Audience recommended. "Issao" might be misspelled]
  This comes from my recollection as I don't have an entity representing the Union team in the pipeline.
  To give context to new readers, a couple of days ago I posted about how the criminal organization de-indexed KeyOpinionLeaders.com's homepage from Google Search Index, effectively removing it from Google so it could not be found by 90% of people on the planet. I believe this was done to help conceal evidence about the crimes documented in this page.
  After I posted about this incident and about how they miraculously re-indexed it just four hours after I posted that I had discovered how they de-indexed it, I started remembering key teams and people from my time working as a Software Engineer within various Search teams at Google.
  Of course, the Union team has to be the culprit on the de-Indexing attack and tampering with evidence because this attack exploited the "Canonical URL Selection" logic, which lives within the Union codebase. Only someone with deep knowledge of Union (like Issao and me) could have known this was even possible to achieve and exactly how to do it. There could be maybe 15 individuals in the planet that possess this knowledge and know-how.
  To give readers context about the Union team, this is the team that creates indices for different Google properties like: Search, Gmail, Maps, etc. Think of it as an internal shared infrastructure for indexing things (remember Vladimir Padrino Lopez' geo-index?).
  Anyhow, first thing that stood out for me when I started reflecting on this was the name of the team: Union. A word that implies unification, a coallition or union of disparate things, and is also a well-known name marker that marks important companies controlled by the criminal network, like UnitedAirlines, UnitedHealthcare, Consolidated Communications, among many others already flagged.
  This observation got me to think that maybe this team was named Union to specifically communicate to other agents working undercover at Google, that this was an important team that holds influence, authority and should not be messed with, within this internal bizarro ecosystem they had within Google (remember the 2% rule).
  And then I recalled that this team wasn't called Union all the time. The indexing team I believe was called "TeraGoogle" (that's another long story) but then suddendly around 2014 (while I was already in New York) it was renamed as the Union team, the previous manager was transfered to another team and Issao was brought into the picture (from GWS team) as the manager of this newly rebranded Union team.
  Now, I knew Issao from before, from my time at GWS team in Mountain View. He was very close to Bharat Mediratta (Director) and Kyle Scholtz (my direct Manager). Issao was part of the "in" circle. They had this thing going on where they had a very tight-knit circle of maybe 8 to 10 individuals. They would do everything together while at the office, and also outside of the office. Five or Six of them even had a house, they called it "The GWS Mansion", it was a large property in Palo Alto where they lived together. I was invited there only once for a barbecue. I don't have the address of the GWS Mansion, but if I find it I would check the address in SpyHELL.org. It is possible Issao lived in that house, or his girlfiend lived in that house, I can't recall at this moment.
  If any authorities are following this website, you could probably find the address of the GWS mansion easily by asking Google for the home addresses of engineers working on GWS team under Kyle Scholtz between 2010 and 2011, and looking for addresses that: i) Are the same mailing address, and ii) Are located in Palo Alto California.
  Anyhow, Issao was part of this inner circle. I remember him being very quiet, almost socially ackward, but very observant and intelligent. My interactions with him while he was the Manager of the Union team were always the same: I was comming to ask for something, as in I was always trying to do something that would push the limits of what the Union framework could do, e.g. the framework could not support what I wanted to do with it.
  Every time that happened, I pinged Issao and described what I was trying to do and what I was trying to accomplish with that and complemented my pitch with how that could make the life of other teams easier as well. He usually, if not always, helped me out and agreed to let me change Union codebase.
  The way it would work, at least back in the day, is that every team had their roadmaps and their OKRs pre-defined at the start of the quarter. If a situation like the one described above happened, it would be hard to justify deviating the team from their quarterly goals and objectives to support a random request, it was a "no-no" generally speaking.
  But in rare ocassions, if the external engineer making the request was trusted by the team, as in their technical abilities, and they trusted the engineer enough to let them change their team's codebase, it could be allowed. There would be of course a code review with multiple reviewers and approvers from the "home team" that would have to sign-off on the change so it could be submitted.
  So this happened a few times, they were small but tactical changes, like when I parked the car in the curve this morning. Surgical precision (that curve is "deadly" by the way).
  The other thing that I remembered about Issao is that I think he is originally from somewhere in South Asia. I have to confess my knowledge of cultures in that part of the world is limitted, so I am going to have to risk being labeled as ignorant on this one, but to be strictly objective, Issao skin color is somehow similar to mine but a bit lighter than my skin, he has facial features that are compatible with some Asian races but I believe he is not Chinese nor Japanese.
  His features look in a way similar to the features of Tao Ne Win, the grandson of the infamous dictator from Myanmar (formerly Burma) who worked with me at Goldman Sachs and was subsequently erased from Google Search by Liana Techonolgies when I first developed the first version of the Pipeline and started posting these journal entries.
  Long way of saying that I belive Issao might be from the Philippines or a country near by. Rember: The page they used to change the canonical URL of our homepage was a Government domain controlled by the Government of the Phillipines, and the prime minister of the Philippines is mentioned in this page. It is possible that's where the connection comes from.
  Of course, I am speculating here about Issao's parents' possible country of origin, as I don't have access to those records, but I thought it was important to mention the possible connection in case someone one day reads this.
  On the bigger scheme of things, if this turns out to be the case that Issao was personally involved in this attack, it would sadden me greatly. We were once co-workers collaborating towards making good tech and advancing the indexing technologies at Google, and now, we have been turned into adversaries, enemies even, for what? Crypto? Google Stock? A job title? A political agenda? None of those things make sense to me in temrs of justifying that stance.
  We need to stop this dynamic and find some common ground of some sort. At the end, we are all the same: humans tyring to make sense of the world. There must be some shared goals that we can use to find common ground and stop this absurd race towards the end.
  

  ---

• 2045

  [02/20/2025] I can't help but wonder: What would my life be like today if I hadn't written that classifieds ads website back in 2005 and hadn't gotten the attention of Elon Musk, Peter Thiel, Pierre Omidyar, Travis Kalanick, eBay, PayPal and their criminal organization, The "Paypal Mafia".
  It's a scary and provocative thought but I think it is one better left alone.
  I'd rather spend my time thinking of what the world will be like once their criminal ring ceases to exist?
  Five years after that?
  Twenty years after that?
  That, is an exhilarating thought!
  [Video Playlist] KOL: The Best of 2024
  
  

  ---

• Detailed Timeline of Main Events

  • 1603: Reference to piracy laws under James I of England (mentioned as historical context in an updated timeline).
  • Prior to the provided data: Elon Musk and the PayPal Mafia develop and implement a "geo-index" for marking locations. The intended purpose is not explicitly stated, but the text heavily implies it is being misused for intelligence gathering and potentially harmful surveillance.
  • Over the last 12 months (prior to the document's creation): The author documents extensively being "imprisoned" in their own residence, surrounded by "military personnel" and under constant threat if they leave their house.

  Unspecified Time (Related to escape from Valleyside):

  • While at a bank, about to escape Valleyside, an alleged agent shows the author a visible handgun in a backpack, seemingly to intimidate them and to learn which house they had bought. This is believed to be captured on the bank's security cameras (Chase Branch).

  Recent Observations (Timeframe not precisely specified):

  • Observations are made regarding the parking of cars on streets as a method of intelligence gathering.
  • Specific individuals and their residences in Katy, TX, are identified with high "paramilitary scores," suggesting they are flagged in the geo-index. These include Mohammed Faraz Ahmed & Amina RAYEESA, Ginfala Lonard & Ying Liu, and The Andrew John Cook & Hairong Yang.
  • Lanham Robert C JR & Pamela J are noted as having the highest paramilitary score in the author's subdivision (Lake Pointe Estates, Katy, TX) and are seen frequently in a white SUV.
  • The author notes a correlation between street addresses ending in "11" and high paramilitary scores.
  • Observations of "little girls" running near the residences of flagged individuals (2310 Britton Ridge) are interpreted as potential signaling or intelligence activities.
  • The existence of an "Enclave" list (presumably containing flagged individuals or locations) is mentioned with a link to a Google Sheet.
  • Shivon Zilis and her extended family are reported as "super-flagged" in Vladimir Padrino Lopez's geo-index, with several tied properties having paramilitary scores.
  • Various Texas license plates and individuals (Jesus Nunes, Libertad Monsalve, Lino Hernandez, David Ramos, Alejandra Arcila, A Rhonda Hickerson) are noted as "Flagged."
  • A house near the Fulshear Police Station (where Officer Banitt works) is identified with two military-grade antennas.
  • Observations of "Big Hats-antennas" at Lake Pointe Estates are made, along with "mysterious tennis balls."
  • Lionel Messi's house in Fort Lauderdale, FL, is reported as marked in Vladimir Padrino Lopez's geo-index and noted as potentially a "Target" due to nearby "empty lot prominence markers."
  • A paramilitary cluster with an exceptionally high score (20 Million Points) is found near the Florida-Alabama border, near the Shoal River.
  • The location where Barry Van Treese was beaten to death (related to Richard Glossip's case) is marked in Vladimir Padrino Lopez's geo-index.
  • Gigabyte Technology, a chipset manufacturer, is reported as marked in the geo-index, raising concerns about potential BIOS-level control.
  • Observations of "Salt Typhoon" terrorist group members potentially identifying themselves with dyed blonde hair (among Asian individuals) are noted in Katy, TX.
  • An incident is recalled where, upon purchasing a new property (2302 Britton Ridge), the author experienced power cuts (allegedly by CenterPoint personnel) as an experiment on their security system, coinciding with the presence of a group of young Asian men and women at the house in front of theirs (26711 Valleyside Dr, Katy, TX).
  • The presence of paramilitary markers near various stadiums/arenas/convention centers in the US, Canada, and the UK is highlighted.
  • Multiple properties of Kanye West over the years are reported as flagged in the geo-index.
  • The author notes houses with unusual solar panel arrangements in Katy and elsewhere, suggesting they might serve to power heavy communication equipment without raising electricity bill suspicions. The house at 26711 Valleyside Dr, Katy, TX, is given as an example.
  • The author reflects on the importance of the "delta" (difference) in resources between themselves and their adversary, rather than the absolute amount.
  • Various seemingly random locations and entities are mentioned as being marked in the geo-index, including Drake's house, Russel Simmons, JD Vince, Paul McCartney, the International Criminal Court, "New Wave Media," "Business Navigator," "Maritime Reporter," "Cinco Meadows Dental," properties along the Mississippi River and Gulf Coast, Shakira's private island, Jonah Alben (NVIDIA), and Ben Horowitz.
  • JSC Terra Tech in Russia is reported as marked with high paramilitary scores and distinctive geo-features, co-clustered with Maxar Technologies and Bidzina Ivanishvili.
  • The House of Dr. Oz in New Jersey is flagged and noted as having "Geo-Engineering Features."
  • Specific coordinates in Caracas, Venezuela, and Russia are identified with nearby paramilitary assets.
  • February 8, 2025: Luis von Ahn is flagged by the pipeline.
  • February 17, 2025: Creation of a series of files, including "H1," "Salesforce," "Carta," "Luis von Ahn," "Yahoo," "Target," "HAR," "Zelle", 'Manuel Godoy', 'Vida Ha', Ajeet, 'Lorena Conde', 'Mariana Martin', Kijiji, and Snowflake.
  • February 18, 2025: A series of images is published related to 2310 Britton Ridge Drive, Katy, TX 77494.
  • Present (Ongoing):Analysis of the geo-index and related data continues.
  • The SpyHELL tool is actively used to scan locations and identify paramilitary assets.
  • Legal warnings ("Aiding and Abetting") are being issued to members of the "criminal ring."
  • The author formally requests Prisoner of War (POW) status based on their confinement and perceived threat.
  • As a safety measure in their will, the author requests an autopsy by an FBI medical examiner from outside of Texas.

  Cast of Characters and Brief Bios

  • The Author (Reinaldo): The individual documenting the alleged surveillance, confinement, and the findings related to the "geo-index." They reside in Katy, TX, and believe they are being targeted by a sophisticated and well-resourced adversary. They maintain a website (where these excerpts are presumably posted) to document their experiences and findings.
  • Lanham Robert C JR & Pamela J: Residents of Lake Pointe Estates, Katy, TX (2210 Briton Ridge Drive). Identified as having the highest "paramilitary score" in the author's subdivision (90,000). They are frequently seen in a white SUV and wave to the author.
  • Mohammed Faraz Ahmed & Amina RAYEESA: Residents of 27011 Stonebury Heights LN, Katy TX 77494. Their address has a very high "paramilitary score" (2,800,000).
  • Ginfala Lonard & Ying Liu: Residents of 9939 Hutton Park Drive, Katy TX 77494, with a "paramilitary score" of 1,533,000.
  • The Andrew John Cook & Hairong Yang: Residents of 10311 Latta Creek Dr, Katy, TX 77494, with a "paramilitary score" of 52,000.
  • Officer Banitt (Badge 929): A police officer working in Fulshear, TX. The author expresses concern about local Texas authorities being potentially compromised.
  • Lina Hidalgo: The District Judge of Harris County, Texas. The author includes her in a list of Texas officials they believe have been "recruited" by their adversaries.
  • Shivon Zilis: An individual who is reported as "super-flagged" in Vladimir Padrino Lopez's geo-index, with multiple properties tied to her and her family having paramilitary scores.
  • Jesus Nunes: Associated with "Runners 58 Running Club" (786-651-7953). Was "co-clustered" with several other flagged individuals.
  • Libertad Monsalve: Resident of 4831 Bell Mountain Dr Katy, TX 77494, and is "Flagged."
  • Lino Hernandez: Resident of 27222 Fulshear Bend Dr, APT 4328, Fulshear, and is "Flagged."
  • David Ramos: Identified in the context of a "Family Tree" and is "Flagged."
  • Alejandra Arcila: "Flagged" in the data.
  • A Rhonda Hickerson: "Flagged" in the data.
  • Lionel Messi: A famous soccer player whose house in Fort Lauderdale, FL, is marked in Vladimir Padrino Lopez's geo-index.
  • Barry Van Treese: The victim of a crime for which Richard Glossip is on death row. The location of his death is marked in the geo-index.
  • Richard Glossip: An individual on death row based on the testimony of another person for the murder of Barry Van Treese.
  • Elon Musk: Mentioned as being involved in the development and potential misuse of the "geo-index."
  • PayPal Mafia: A group of entrepreneurs, including Elon Musk, who were early employees or founders of PayPal. They are collectively mentioned in connection with the development of the "geo-index."
  • Koroto Elena Filippovna: Identified as the owner of a TIN, KPP, and PSRN, suggesting a Russian connection.
  • Luis von Ahn: Flagged by the pipeline on 02/08/2025.
  • JD Vince: An individual whose house and surrounding area have a high concentration of paramilitary markers in the geo-index.
  • Russel Simmons: Characterized as the "CTO of Crime." Locations associated with him have paramilitary markers.
  • Wilmer Ruperti: A Venezuelan businessman with ties to the oil industry and government (based on a Wikipedia reference).
  • Drake: A Canadian rapper and actor whose house is flagged with paramilitary markers.
  • Jonah Alben: NVIDIA SVP Head of Engineering, whose location is marked in the geo-index.
  • Shakira: A singer whose private island in The Bahamas is marked in the geo-index.
  • Travis Kalanick: Mentioned in the context of calculating and transmitting "driving directions," implying involvement with the geo-index.
  • Vladimir Padrino Lopez: A Venezuelan military officer whose "geo-index" is also referenced, suggesting the existence of multiple such systems or a shared one.
  
  

  ---

• After Reading The Last Message, Now They Turn Off The Vehicle Headlights While Racing Towards The Cameras

  It was a good idea, except ... the sound.
  You see, the friction of the tires with the pavment produces noise, the faster you go the stronger the noise.
  Remember those $50 microphones I have installed surrounding the house? =)
  To help you out a bit: You need a flying vehicle that does not make noise. It would be the only way.
  

  ---

• They Are Tying to Race Against The Cameras, It's Hilarious

  [03-10-2025 @ 19h38] They are basically trying to travel with the cars faster than what it takes the cameras to see them comming. Whoever is the Venezuelan Military Commander Operating In Katy Texas these day he/she clearly needs some basic instruction in physics (like 7th grade physics). They don't seem to know that the agents can't travel faster than the speed of light.
  Maybe that's why the dressed this man today as a "Phil Denning" (using green gecko colors), perhaps they were trying to see if he walked next to the grass he could blend in long enough to not trigger the kill switch of the system. It is possible that's what they were trying to do. Bad news is, it doesn't work.
  

  ---

• One of The Venezuelan Informants Asked Me To Relay This Tip To The FBI

  [03-10-2025 @ 19h10] I don't have a way to verify if this is true because they are politically exposed persons and don't have any properties on the public record, but passing this information along as the informant asked.
  "Los indicadores en el APP de Padrino Lopez que dicen FLORES corresponden a la familia de Cilia Flores. Ellos son muchos y tienen un arreglo interno, pero todos esas propiedades los denotan a ellos como familia en el sistema."
  I changed a couple of words of the original message, in case the Chinese agents I have on the sides of my house (2218 Britton Ridge Drive and 2310 Britton Rirdge Drive Katy TX 77494), manage to intercept something one way or another, they can't figure out how my proprietary communications system works.
  

  But Wait, Why The FBI?

  It's the last thing I can think of. I tried communicating with the DEA several times, and they just ignore me.
  I also filed a request under the Freedom of Information Act to the DEA, asking them to tell me if they received my communications, and saying that I fear for my life. The officer, Amber Porter, Section Chief, responded saying that they feel they do not need to disclose any information to me in an expedited manner (despite the fact that she must have read in the request that an international drug trafficking organization is trying to harm me).
  It's unbelivable, really. What kind of country are we living in?
  See it with you own eyes: read the DEA response to Reinaldo's Request for Information.
  

  I Implore The Authorities

  If you are following this website, please help us. I have been imprisoned as a Prisoner of War ("POW") in my own home for almost 3 months at this point (officially since December 13th 2024). I have only left the house for 45 minutes on December 26th and they almost killed me that day.
  I don't have any bargain chips because I decided to donate all the data to the free world. But if I may propose something:
  If either the FBI, the RCMP, the MI6 or the Mossad would be interested in making a deal with me for all the espionage technology they have inserted in my houses and cars, I propose the following:
  I offer to transfer legal ownership of the two houses and all the cars except the armored Suburban (that thing is a tank and I need it).
  The red Tesla still has all the surveillance equipment, guaranteed, the black one I cannot be sure because they could be executing an extraction protocol right now (03-10-2025) or tomorrow (03-11-2025) at their resort The Great Wolf Lodge.
  In exchange for the properties and the cars, I would ask for one property to be picked by one of your military strategists that implements the "Immune Geo-Entities Pattern" in a place that is not heavily controlled by the criminal network (to be verified with SpyHELL).
  I believe the surveillance equipment in the houses/cars could be priceless to any of your intelligence agencies, this could set your adversaries back probably at least 30 years in terms of competitiveness. It's a bargain and a super efficient use of your defense budgets, I believe.
  Besides getting all this equipment and techonology, you'd be also saving us at the same time. We can't live here any longer, in Katy I mean.
  Katy is their biggest operational center in the US. I was telling someone recently that Katy is not really a town, it is an immense office building made to look like a town. An office building of the Chinese/Venezuelan/Russian/Cuban Intelligence services, and I am living in the middle of it. That's how they keep me imprisoned and that's why I applied for POW status with their embassies and the United Nations.
  Please email me if you are interested in this offer/proposal (reinaldo [at] reinaldo.ca).
  
  

  ---

• And ... the Red Truck leaves again (again passing in front of my house, for a third and fourth time today)

  [03-10-2025 @ 17h28] Again did the same thing: passed one time in front of the antenna, did a non-sensical u-uturn, and then passed again. They had this truck parked on the Britton Ridge drive side of 24919 Teal Lake Ct, Katy, TX 77494 for most of the day (watching my house) and scanning the air for MAC addresses of every vehicle that passes by (spying on the FBI basically). They left about two minutes after I posted the entry about the Mystery Box.
  It's a woman driving the truck I believe. She lifted her arm when she passed in front of me, I think they are using the apple watch as a tilt switch again.
  

  ---

• The Tennis Balls They Had Positioned On Different Sides of My House

  [03-10-2025 @ 17h25] I noticed that the exact positions of those tennis balls, seem to match exactly the entry/exit points of low altitude aircraft flying above my house over the last 6 months if one traces an imaginary line between the Starlink Antennas and the tennis balls.
  I have never flown a plane so I really don't know if they would be visible at that altitude. If they are not, then they must be transmitting or used to bounce a signal that is then used as a beacon. It's too much of a coincidence that all those hundreds of planes seem to align with these tennis balls.
  If this is the case, it would be a low hanging fruit for the authorities, because the tennis balls could tie together all these planes as a coordinated effort.
  For completeness:
  The starlink Antennas are located on or around: 29.75775033072847, -95.80599915589839 (I randomized the location a little bit to not give them any precise information they could used against me).
  And the strange objects placed by Chinese and Venezuelan agents on different sides of my yard (inside property lines):
  1. Tennis Ball West: 29.75771889583067, -95.80619026328328
  2. Tennis Ball South: 29.757583259954842, -95.80605212952437
  3. Tennis Ball East: 29.757500597657234, -95.80589790251202
  4. "Soda Can": 29.75786035279315, -95.80563303438207
  5. Mystery box: 29.757798065184073, -95.80593947675011

  The Mystery Box

  I would like to document this one so readers can get a feeling of what it means to fight off these criminals.
  One day a couple of months ago, the conflict was at I would consider a peak. When I say a peak it means I have achieved a milestone that is dangerous for them and that they have escalated the harassment and physical threats. When this happens I usually fear for my family's safety and my own life, so I have to take extra precautions.
  So in this episode of "The Global Criminal Enterprise", they had been attempting to park vehicles in front of the antennas without sucess because I had developed the first prototype of the avoidance system, very early stage at that point, very rudimentary.
  So what they did is that they shipped a package to my house via Fedex. They knew that I have a buffer gate that is always locked with a big lock, so the Fedex person was not going to able to ring the bell and I wouldn't come out either (for obvious reasons).
  It is important to note there was a "no trespassing" sign on the lawn, the same sign they have been fighting with me to force me to take it down and that in one instance they retained a law firm, that according to information I received from an informant, has ties to the Chinese and Venezuelan Governments. This lawfirm threatened me with 72,000 USD per year in fines if I don't take down the 6"x8" private property sign from my own lawn.
  Sorry, I digress.
  So they shipped this package via Fedex. The Fedex person (who must work for the criminal network for obvious reasons) ignored the "no trespassing" sign, he acted as if it wasn't there. And came right in and placed the mystery box exactly at this point: 29.757798065184073, -95.80594551172017. Basically in front of the starlink antennas.
  Now, think for a second what could have been my thought process and my options:
  1. The box could contain a device to catch signals from the antennas, or to repeat signals from the bugs they planted inside my home --> I can't leave the box where it is.
  2. The box could contain a microphone or another kind of bug and is not addressed to me (I can't legally open it) ---> I can't take the box inside
  3. The mystery box could contain a harmful agent, like a virus or a chemical agent (they have demonstrable ties to Al-Qaeda and ISIS' Chemical sites) ---> I can't hold the box near to my face.
  So I had to think on feet quickly, what ocurred to me was to pick up a large gardening tool to hold the box as far as I could from my face and walked to the side of my house and threw it over my own fence to place it on my backyard but guarded in a place where they could not recover it (in case I need to use it as evidence).
  I left the box at 29.757471491198178, -95.80581475403577 for months.
  After the fact, I thought that it could be a mistake to leave it there because if it contained a repeater, it could extend the range of bugs in the house and allow them to reach the other Chinese Safe House next to mine: 2218 Britton Ridge Drive, Katy TX 77404.
  I believe that box being where I left it originally, could be the reason why those Chinese agents coming in shifts to 2218 Britton Ridge Drive (different agents), always park a Spy-Mesh Vehicle around here: 29.758094367580803, -95.80599245037081 (to query the box).
  So I finally made the decision to move the mystery box and put it on the far back of my backyard, where it is waiting for the FBI to come one day and pick it up (hopefully soon).
  For completeness the Mystery Box was addressed to the previous owners of the house (the ones I bought the house from). It was sent by:

  HARRY AND DAVID
  SHIPPING DEPT
  2500 S PACIFIC HWY
  MEDFORD OR 97501
  US
  

  
  But here is the part where Karma kicks in: That address that sent the Mystery box, is marked in Vladimir Padrino Lopez' with a paramilitary score of 3,000 points. The highest ranking paramilitary property in that area with a score of 122,000 is:

  325 S Stage Rd
  Medford, OR 97501
  

  
  See the full list
  The other important location in this area that seems to have very good geo engineering features is: 2488 Voorhies Rd, Medford, OR 97501.
  And here is a photo of the Mystery box:
  
  Risking to state the obvious: The fact that the sender of the Mystery Box is marked in Vladimir Padrino Lopez' geo-index, I think shows that this was, at the very least, an act of harassment (could be worse depending on what authorities find when they open the box).
  I am of course hoping that investigative agencies can track this package to the last mile and check the home address of the person that trespassed property lines and placed the mystery box in front of my starlink antenna, to see if their home address is also marked in Vladimir Padrino Lopez' geo-index.
  

  ---

• We Have Sports Fishing In Front of The Starlink Antennas Today

  [03-10-2025 @ 15h42] Red Silverado Pick-up Truck, plates PXZ-7146
  They are literally fishing (for Radiofrequency). I will upload the video soon. They are living Lake Pointe Estates now.
  I ran the video through the system, the man triggered the behavioral model, the woman didn't. In plain english this means the woman is likely a decoy or distraction, but the real agent is the man.
  From my observation of the video: it seems like he positioned himself very strategically hiding behind large objects, like the electrical equipment box Phill Dening installed there to power the surveillance equipment when I moved into the Subdivision, or the light fixture next to it. This means that he knew where the camera was.
  

  ---

• The USPS delivery vehicle at Lake Pointe Estates

  It is too easy to spot, really, for several reasons:
  1. I do not receive any mail in this address, by design. I made sure to not give this address to any company that could send us mail (to avoid giving them an excuse to park in front of the starlink antennas).
  2. I haven't received any mail in months, but in the last two days, I got mail both consecutive days.
  3. I have recordings of that vehicle for months and the vehicle always passed only one time in front of my house. This week, when I started receiving mail, now the vehicle is passing twice in front of my house (he delivers mail and then does a U-turn and passes again in front of the antennas driving slowly).
     Also if you think about it logically, it doesn't make sense to pass in front of my house twice (the route doesn't make sense) because there are no mailboxes on the other side of the street in front of my house. It would be a waste of time and gas to do a u-turn to not deliver any mail on the other side of the street.
  4. There was one instance back in July of 2024 when I stopped the USPS delivery man on the other street and straight up asked him if he had "illegal interception equipment in the USPS vehicle", he said "no", which I was expecting, but then he went one to give me a full demo/tour of the vehicle and demoed different features and lights of the vehicle.
     I found that strange because I would think a normal person would have been offended by my question or at least should have acted confused, but he didn't get offended and gave me a demo of the vehicle, while being very friendly to me, to put my mind at ease that he was not a spy I imagine. I have all this recorded in video from the KOL-mobile.
  
  

  Please Have in Mind That Louis DeJoy Has Been Flagged By The Pipline For A Long Time

  The USPS driver that serves Lake Pointe Estates has been co-clustered by the pipeline with Phillip E Denning for months.
  

  ---

• The Ex-Military Officer That Installed A Dog-Gate At Our Headquarters located at 26714 Valleyside Drive, Katy TX 77494

  On or around the period January 2015 to July 2016, I bought one of those gates that are installed so children and pets cannot go upstairs. The man who built, sold and installed the gate came to the house in several ocassions (to take measurements, look at the job, install it and adjust it).
  The man that sold and installed the gate said he was an ex US-military officer. He said that after coming back home from his deployment he went into the business of making wooden gates for internal staircases.
  He came to our house in several ocassions and in all these ocurrences I was in New York working, except in one ocassion.
  Gloria spoke with him in all ocassions. I saw him in person briefly one time he came to do an adjustment to the gate.
  Seeing what I have seen until now, I imagine he was probably part of the network (they wouldn't let an stranger come into my house fearing it could be the FBI, etc), but I am having trouble locating his name, so I am providing hints and tips here in case an investigative agency is following this website, maybe they can help eliminate him as a potential suspect.
  For full disclosure: The reason why I keep bringing him up and this gate that dates back to around 10 years is because one of the Venezuelans informants told me he might a fundamental piece in this puzzle. He might be a key player in all this, at least the hyper-local scale (Operation 26714 Valleyside Drive Katy TX 77494). I will call him from now on "Unkown Male Gate-installer #1" ("UMGI1").
  

  UMGI1: Description

  Caucasian male, light-brown hair, around my age but perhaps a couple of years younger than me. He would probably be on his early to mid 40s by now (YOB is probably 1980-1983). Height: 5'9 to 5'11 I would think. Weight: around 170lbs - 180lbs at the time.
  He spoke perfect English (no accent), I would think he was born and raised in the US.

  UMGI1: Payment Details

  I believe I paid him with a check drawn from my Chase bank account ending in 2000. The amount of the check I believe was $600 or very close to that.
  

  UMGI1: Vehicle

  He drove a pick up truck, RAM/light color if my memory serves me correctly, but I could be wrong about the details of the truck.

  UMGI1: Photos of the Gate (Dated July 21st 2016)

  
  
  
  

  ---

• This Thing you are seeing with the Appliance Delivery at 2310 Britton Ridge Dr: Is an Extraction Protocol

  [03-10-2025 @ 14h26] I saw it before when I first discovered the Priddy agents at 26718 Valleyside Drive Katy TX 77494, I even recorded it from above with the drone that time.
  What they do is to bring in a new washing machine or dyer, and they take the old one but I imagine inside the appliance there is something they want to remove from the house. People? Equipment, maybe?
  Now I have not one, but two extractions recorded.
  

  ---

• Suspicious Credit Card Charge on February 01 2025 For the Amount 3,904.29. Merchant "XSW". Chase Visa Card Ending in 0379 On My Name.

  I will dispute the charge, but mentioning becuase this could be one of thier attacks to slowly drain my financial resources.
  

  ---

• [03-10-2025 @ 12h53] They Brought-in Someone That Looks Like Phillip E Denning to Walk In Front Of My House

  He seemed a bit young to be the real Phill Denning but was dressed in the exact same way they used to dress Phill Denning.
  I have to run the image through the pipeline to see if this is actually Phill Denning, or, an actor. We have custom software that estimates facial features/distances and gives me a numeric idea of likelyhood to be the same person. Probably not as advanced as what they use to process the stills they take with the Mesh vehicles, but it is better than a person's judgement because it does not have any biases.
  

  ---

• Something Just Happened: The White Truck Stationed in Front of 24919 Teal Lake Ct, Katy, TX 77494 Was Suddendly Ordered To Leave

  [03-10-2025 @ 11h40]They had a white truck parked in front of 24919 Teal Lake Ct, Katy, TX 77494 watching my house. For context: 24919 Teal Lake Ct, Katy, TX 77494 is a well known safe house registered under the names of "GRAY GARY D JR & DIANE E". That's a lot of "JRs" By the way, a few in the last couple of days. Note that this house has the empty lot marker: The lot on the north side of the property is an empty lot decorated as if it was a garden, but is ~1 acre as many of the lots in the subdivision.
  Anyhow, a vehicle came driving on Whesthimer emitting a loud noise of well-knonw frequency to us. Immediately the following events happened:
  1. They ordered the white truck (posing as a gardener) to leave.
  2. They other red truck that they had stationed on the other side of 24919 Teal Lake Ct, Katy, TX 77494 was also ordered to leave.
  3. They took out two mesh vehicles from 24927 North Point Pl, Katy, TX 77494 (a well-known safe house, dozens of incidents in the last year). One of the vehicles they took out was the dark gray pick-up truck of the bodyguards of Lanham Robert C (he has two body guards, both look alike: white males, late 30s to mid 40s, they looked like they could be eastern europeans, short hair cut, light color hair, probably 5'10 to 5'11 around 200 lbs each). I have video recordings of both from that day they mounted the antenna on top of the RV, I came out with the KOL-mobile to record video and they were hiding behind a car. They got caught by the cameras.
     The original purpose of that house, I believe, wasn't to watch me, but to house the body guards of Lanham Robert C JR 2210 Briton Ridge Drive Katy TX 77494. He is pretty high up in the food chain of the organization locally here in Katy (paramilitary score of 90,000).
  4. They brought in one mesh vehicle to the chinese safe house next to mine (2310 Britton Ridge Drive, Katy, TX 77494). But this is not the regular car they bring to that house. A small child was brough into the house without using the garage, I imagine so I can see the child (they know I know small children are operational markers for paramilitary operations).
  5. They brough in a second mesh vehicle to the Chinese safe house next to mine (2310 Britton Ridge Drive).
  6. The red surveillance/"landscaper" truck passed twice in front of my house within a 60-second period of time.
  Seems like a lot of strange behaviors, maybe they are activating some kind of extraction protocol.
  Side note: The house 24927 Teal Lake Ct, Katy, TX 77494 has been completely removed from the county records property search. The registered owners I have them saved to a database, so it is not a big deal. I will report them to the authorities and report the anomaly that they removed the house from the searchable county records (which I imagine could be another crime).
  
  

  Why Do You Have Systems Monitoring Sounds?

  This is because I understood months ago that they use loud sounds to coordinate agents when they fear the FBI could be watching. Also because it enables the RF Eavesdroping Avoidance Software I developed to shut down the network completely when an aircraft, vehicle, landscaper is approaching.
  And, the third reason is because I understood months ago they are targeting my house with noises of a specific frequency (I imagine to induce stress on me, psichological warefare).
  This is a Venezuelan military techinique I have seen before, 22 years ago. During the oil strike of 2002, the Venezuelan military used to fly aircraft at low altitude above the houses of people on strike, to terrorize them.
  In this case they are beaming my house with sound every time I am alone in the house (basically when Gloria and the Kids leave). I don't think they do that as a courtesy to Gloria and the kids, they just wait until there is nobody else in the house that can corroborate the story if I go talk to the FBI or the NSA. But ... I have the recordings with timestamps and directionallity. I can even tell where they are coming from.
  The top two sources of sound have paramilitary scores in the order of millions in Padrino Lopez Geo-index. I have video footage of them. The judge and the jury are going to have a blast when they see that.
  Maybe a good moment to remind readers that I have over 1,000 hours of 4k-quality footage of their houses, cars, faces, combined with timestamps and captured radiofrequency signals from them transmitting to the bugs (to wake them up) and of the bugs transmitting to them. I have already distributed instructions on how to download the videos (in case they do suceed in harming me).
  

  ---

• The Details Of The Ipad PRO Traveling to The Great WOLF Lodge, Webster TX In The Black Tesla

  Sharing the details of that ipad here, in case they do switch it, the authorities have at least a chance to track it:
  
  
  
  
  

  ---

• Update on Genetic Markers Being Indexed: Some Famous People with Cronic Diseases Are Marked In Vladimir Padrino Lopez' Geo-index

  The pipeline detected that some people that according to public posts on the Internet, public records, and Key Opinion Leaders influence detection technology, are: i) Famous or influential; and ii) Have discussed publicly having a cronic or denerative health problem ---> Are marked in Vladimir Padrino Lopez' geo-index.
  Most seem to be related to specific organ failures but there are some other that are neurological diseases.
  On the other side of the equation: There are people on rural or suburban areas in specific regions of the world, that also have genetic markers indexed on their properties.
  Seems to me like they could be matching potential organ donnors with potential recipients.
  

  ---

• Alert to Authorities: The Great WOLF Lodge, Webster TX

  [03-10-2025] So Gloria and the kids were planning weeks ago to spend a couple of days at a kids resort. They picked The Great WOLF Lodge.
  Please note the name marker "WOLF". The Great Wolf lodge is marked in Vladimir Padrino Lopez geo-index with several para military scores, many 1 million points and some even have scores as high as 5 million points. You can see the exact coordinates here:
  https://spyhell.org/1000-Great-Wolf-Wy--Webster--TX-77598--USA/29.5183546,-95.1156457
  Also, the address is 1000 Great Wolf Wy Webster TX 77598. Note the street address ending in 00. I verified and this property indeed is able to route/receive messages from Goldman Sachs at 200 West, Manhattan with a minimum number of crossings.
  This is very concerning to me. I fear for their safety. I tried to convince Gloria to go to a different hotel but I could not convince her.
  They are leaving the house (2302 Britton Ridge Drive) at 11am. They are supposed to check out on Wednesday and come back home.

  Legal Notice to The Great Wolf Lodge, Webster Texas

  Please note that tampering with evidence (e.g. the Black Tesla, Marcelo's Ipad) is a serious crime, particularly in this case.
  

  Also Flagged: Meow Wolf Houston: 2103 Lyons Ave Building 2 Houston TX 77020 USA

  This is a kids games place, kind of an arcade type of place. It is also marked in Vladimir Padrino Lopez' Geo-index with paramilitary scores in the order of millions (and also has the "WOLF" marker in the name): https://spyhell.org/2103-Lyons-Ave-Building-2--Houston--TX-77020--USA/29.7721067,-95.34770139999999
  Obviously they are targeting people by targeting their children. This is very telling of what they are capable of doing to children in order to advance their interests and keep holding on to power by any means they deem necessary.
  

  ---

• Tip For Investigative Agencies (if any): Genetic Traits Seem To Be Indexed in the Geo-index

  This is a hypothesis for now, but I have been running some correlation tests against the markers in the geo-index, and I believe in some locations they are recording what I believe could be genetic traits.
  I imagine they could correspond to genetic traits of the individuals that live in those locations but I don't have a way to verify if this is the case (I don't have access to that information because it is not public).
  Could be related to the webpage Liana Technologies was hiding in Google by changing the canonical to the HTTP version of the page instead of HTTPs, it was a page from CECC.gov if I recall correctly, that talked about foced organs harvesting targeting individuals of certain specific ethnic and religious groups.
  

  ---

• 25914 Tina Ln, Katy, TX 77494 (Registered to KILPATRICK DORIS @ 810 DOGWOOD LN KATY, TX 77493-2231)

  Seems like a residential property but has a Paramilitary Score of more than 4 million points: https://spyhell.org/2210-Britton-Ridge-Dr--Katy--TX-77494--USA/29.7582562,-95.8065764?topdogs=1
  Same situation with:

  2822 Sica Hollow Ln, Katy, TX 77494 (registered to JUE GARY WAYNE JR & MING NA YEH) (Paramilitary score of 4.4 million )

  You can view all the points with paramilitary scores of over 1 million near my house by clicking on this link:
  https://spyhell.org/2210-Britton-Ridge-Dr--Katy--TX-77494--USA/29.7582562,-95.8065764?topdogs=1
  

  ---

• It Seems Like KeyOpinionLeaders.com Homepage, Miraculously Was Reindexed Just 4 hours After I Posted About What They Did To It

  Hopefully people are watching, it is an opportunity to observe and learn how they operate.
  This has been the constant dynamic over the last 18 years: I create a website, they do hundreds of things to attack it, things that they disguise as a "bug" or a "coincidence" or an "isolated bad actor" (like a "bad" employee), but in reality, they are all deliberate attacks that involve cordination among powerful technology companies, a deep understanding of technology, and a lot of financial resources to cover the expenses, usually backed by these Governments we have already identified thousands of times.
  It's government-sponsored sabotage, that is what this is. Sponsored by foreign governments to be clear.

  On Related News: An Important Settlement has been detected: https://spyhell.org/11010-Reames-Rd--Charlotte--NC-28269--USA/35.3458709,-80.83443779999999?topdogs=1

  It has over 200 top dogs with scores over 1 million points within a 10-mile radius from the detected centroid (11010 Reames Rd Charlotte NC 28269 USA).
  To put this metric in context, the worldwide capital of Espionage, Katy Texas, where they have me captive as a POW, has about 500 top dogs with paramilitary scores above 1 million within 10 miles of my house. To pose a counter example: Vancouver, BC, has zero (0) topdogs with paramilitary scores above 1 million within 10 miles from the center of the city. This is not a random or common ocurrence.
  Long way of saying, the area surrounding 11010 Reames Rd Charlotte NC 28269 is not quite as important as Katy TX 77494 for this network of espionage, but it could be among the top 5 locations in the US if one looks at it at the aggregate level (perhaps at the Musk-Qbit, or Musk-BiQbit levels).
  

  ---

• The Receipt For The Poison I bought At The Outback Restaurant In Katy + The Receipt From The Fritos Factory Incident

  Both recepits are in this image:
  
  For readers not familiar with the Fritos Factory incident, here is a copy of the journal entry.
  Note: I saved the receipts and a copy of this journal entry on Vladimir Padrino Lopez folder in the Archive: RELEASE/notable-posts/80__Vladimir-Padrino-Lopez/
  

  ---

• The Chemistry Department of the University Of Mosul, Iraq: Is Marked In Vladimir Padrino Lopez

  For readers that may be unfamiliar with the matter, The Chemistry Department of the University Of Mosul, according to reports from The United Nations has been suspected of involvement with ISIS and the production of Chemical Weapons to carry out terrorist attacks.
  There are points marked in Vladimir Padrino Lopez on this exact building. Some of those points have Paramilitary scores in the order of millions of points (comparable to the presidencial compound in Iran).
  Please don't take my word for it, please see it with your own eyes using spyHELL:
  https://spyhell.org/94GW%2B228--Mosul--Nineveh-Governorate--Iraq/36.375035,43.1450781
  

  ---

• itch.io Has Been Flagged

  I created a page there called "SpyHELL" (https://reinaldo-aguiar.itch.io/spyhell) the week after I captured the geo-index and had built the first prototype of SpyHELL.
  I was trying to raise funds to further the development of spyHELL. Spoiler alert: I raised $0.
  The owners of the site made it so even if you search literally for "SpyHELL" (the exact title match), the page doesn't appear in searches, there is only one result that shows up and it is called "Hell" (partial match).
  More censorship. Censorship on the media, censorship in the digital properties they control, censorship at the Office of the Attorney General of Texas, Censorship at the IRS (Douglas O'Donnell), censorship coming from Google.
  I feel like I am back living in Venezuela. I thought I was in the United States but aparently they have already turned this country into another Venezuela.
  

  ---

• The Duolingo App My Mother Uses To Learn English: Is Turning Her Phone Into a Data Collection And Listening Device And Transmiting the Data To A Series of Subdomains

  I bench-tested it.
  One of the most dangerous aspects of the App is that employs the Gamefication technique. It has an elaborate system of points and "virtual rewards" (no monetary value) that they use to rank players. Players compete for placement.
  I can't really understand how they convince players to devote so much time into this, I mean because there is no real monetary reward, it is something that should be studied; but to give an idea: My mom has used the App for 630 days straight without missing one day.
  Those are 630 days in which my mom has been turned into a spy and transmitted data about everyone she encountered on her path troughout the day while "learning English with Duolingo".
  

  ---

• How They Removed Our Homepage From Google Search

  [03-09-2025] I believe I saw how they did it. I think they, with help from someone at the indexing team at Google (coincidentially that teams was called the "Union" team back in 2018), changed what google believe to be the "canonical" version of the url of our homepage, from 'https://www.keyopinionleaders.com/" to be "https://pagibigfund.gov.ph/". They intentionally made it look like a Google "bug", a "recaptcha bug" specifically, but please believe me, this is not a bug. I would know, I have accumulated very deep knowledge about the internal workings of all these internal Google systems because of my years of experience working at Google Search as a software engineer.
  The other data point I can offer authorities is that for this "trick" to work, they had to had collaboration from the Philippinian Government that controls that website (to change the webstie in a specific way that would allow this "bug" to happen on Google's side).
  It also required active collaboration from Google for this "bug" to be triggered. But again, it is not a bug. It was intentional.
  I saved evidence of both sides collaborating on the Archive.
  
  
  They picked a Government website because .gov websites carry so much more reputation and weigth in Google Search Rankings that any other website, just because they controlled by a Government. I believe this needs to change because as we have seen, Governments can be turned into criminal enterprises.
  This is straight out censorship to conceal the crimes of the PayPal Mafia (Aiding and Abetting).
  

  ---

• Posting Information I got From The Venezuelan Informant About a Journalist In Miami That Is Also Being Targeted By The Union

  I don't really have a way to verify the veracity of this piece of information, but so far this informant has provided me with a lot of information I was able to verify, even on my own medical records, so I am inclined to belive him on this one.
  Posting it here in case an investigative agency has other tools that could allow them to verify if this could be true.
  The informant said he personally attended a meeting at La Orchila, in which he personally saw Vladimir Padrino Lopez showcasing the Secret App and giving a demo in which he was using it to target a Venezuelan Journalist that resides in Miami and is a critic of the Venezuelan regime.
  I wasn't there but what he decribed sounded a lot to me like when I do a sales pitch to a prospective customer.
  But what would Padrino Lopez doing a sales pitch? Is he the liason between the PayPal Mafia and the Maduro regime? - It seems like such an unlikely partnership, I mean, I would not think Padrino Lopez would be a technocrat, but again, I don't know him personally.
  I will debug this a bit deeper and post back.
  

  How Can I Help The Cause, You Ask?

  The number one thing we need right now is to give visibility to this domain: spyHELL.org. From what I can tell, the union is using agents from inside Google to avoid the indexing of the website.
  Having had worked in Google Search for years, I can tell you dear reader, that the most powerful relevance signal in Google Ranking systems is the number of incoming Hyperlinks from reputable websites.
  If you are journalist, or a writer at a university website, please consider linking to SpyHELL using this HTML code:

  <a href="https://spyHELL.org"><b>SpyHELL.org</b></a>
  

  
  The more links pointing to SpyHELL the more difficult it will be for the Union to burry the website underneath fake news articles and fake Reddit threads. Please consider donating a link for the cause! It would take only a couple of minutes of your time and it will make a difference.
  

  ---

• The EXACT Location That the World Health Organization Identifies as "Ground Zero" for the Ebola Epidemic of 2014-2016: Is Marked in Vladimir Padrino Lopez' Geo-index With A Paramilitary Score

  Don't just take my word for it, please see it with you own eyes using SpyHELL.org:
  https://spyHELL.org/JW8Q%2B9HX--Meliandou--Guinea/8.6159875,-10.0610156
  

  ---

• Vaccine Against Competition: Baby Edition

  
  I am making public the medical records of my son, hoping that if an investigative agency stumbles uppon this, they do something. He was just 12 weeks old at that time. These people should be put in jail, they could hurt other babies.
  The vaccines were administered on 09/27/2021 (three injections in total, one vaccine had multiple vaccines in it I think). Marcelo developed the breating problem literally the next day. We were told to wait to see if the symptoms went away.
  He kept getting worse and worse little by little, until by 10/11/2021 we had to take him to the ER in the middle of the night, and next day (10/12) we decided took him to see his pediatrician at Kelsey-Seybold (Doctor Kara Chaney Carter). During the 10/11/2021 crisis, he almost could not take in any air, he was struggling and making an incredible effort to take just one more breath. I could see in his face the amount of effort he was putting into just breathing.
  It was heart breaking to watch, but at the same time I remember that I thought: "The human spirit, how resilient. We, humans, all of us, we are fighters."
  We did a series of invasive exams the doctor ordered, and they kept pushing us to agree to put him under full anesthesia which could have endagered his brain because of his age. I had to push back very hard, I am making public the full thread with the doctor, including my last message to her.
  As these events were unfolding, doctor Kara Carter was calling me on my cellphone very very insistently, urging me to take the baby to have the operation. In one message she expressed conern and kind of implied that I could be commiting a crime by denying the baby the healthcare he needed. She mentioned the word "authorities" in the message I believe. She didn't say she would call the authorities, but the way she phrased the message, it implied that my decision of not letting them put the 12-week old baby under general anesthesia, could have legal consequences. This of course, put even more pressure and stress on Gloria. She became physically ill from the stress she was subjected to.
  Doctor Kara was so pushy in trying to convince us to put our infant son under general anesthesia, that I had to stop replying to her messages, kind of when a car sales person calls you insistently and you decide to just not answer your phone. The situation felt the same way to me.
  You can read the correspondence with Doctor Kara here.
  And here are the records of the vaccines, some have serial and lot numbers but some don't (I don't know if this would be normal or if the records could have been manipulated by Kelsey-Seybold to obscure information that could be crucial for Law Enforcement):
  1. Hepatitis B
  2. Pneumococcal Vaccine, Conjugate 13
  3. Vaxelis (DTaP,IPV,HiB,HepB)

  Evidence + Debugging notes

  I started debugging manually Doctor "Kara Chaney Carter". There are a few things that look suspicious to me:
  1. In the Texas Medical Board she is registered as Kara Chaney Carter, but there is nobody owning property in Fort Bend under that name.
     There is however a "Kathern Carter" that owns 19407 Linden Meadow LN, Richmond TX 77407-3805 (Note the mispelling on the name, missing a couple of letters in Katherine, could be the mispelling technique we learned when debugging Rosana Finol).
  2. I don't know the answer to this but I would think there should be a requirement for doctors to register using their full legal name (Katherine) instead of a short name (Kara), otherwhise it is a prescription for abuse of the incredible power a medical license gives over individuals.
     This is the same situation as "Jim Casey" from Akamai, he used his full name (James) in some legal records and "Jim" in others as if it was a full name, and that made the debugging harder in the early days of the pipeline (but not anymore, we canonilize the names in one of the early steps of the pipeline).
  3. That house 19407 Linden Meadow LN, Richmond TX 77407-3805 registered to "CARTER ANTHONY & KATHERN", is marked in Vladimir Padrino Lopez Geo-index, with an "Espionage" score (not paramiliritary). The score is 60 and located only 25 mts from the calculated centroid of the property, which is above the 75 percentile in the scale of espionage scores. To offer a comparative figure, Ronald Patiarroyo (a well-known SEBIN agent) has a espinoage escore of 12.

     $ python3 -m spyhell \
          --scan_area \
          --latitude=29.699524169794252 \
          --longitude=-95.72239702645216 \
          --search_radius_feet=600 \
          --search_type=spy-assets \
          --run_name="test" \
          --sort_by_distance
     
      ____              _   _ _____ _     _     
     / ___| _ __  _   _| | | | ____| |   | |    
     \___ \| '_ \| | | | |_| |  _| | |   | |    
      ___) | |_) | |_| |  _  | |___| |___| |___ 
     |____/| .__/ \__, |_| |_|_____|_____|_____|
           |_|    |___/                         
     
       Wondering where this data came from? 
         ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
     
       Wondering about the scope of Elon Musk's criminal enterprise?
         ---> Please visit https://www.KeyOpinionLeaders.com/
     
     
     
     Using Backend: spy-assets
     
      ======= 
     
     
     ========
     Output saved as: ./runs/test.txt
     
     
        latitude  longitude           Vladimir-Pardrino-Lopez-spy-score  distance_mts
     0   29.6993  -95.72235                                          60            25
     

  4. This was picked up by the automated pipeline: Near-by 19407 Linden Meadow LN, Richmond TX 77407-3805 (the house that could be the house of Doctor "Kara Chaney Carter"): There is a house with a paramilitary score of almost 2.4 million points: 8007 Gable Bridge Ln, Richmond TX 77494, registered to "GUEVARA BRIAN T". There is also a second property tied to this address: 13942 BONNERCREST DR, HOUSTON, TX 77083-6175.
     Please note the word Bonner in the street name, that's the same last name as the registered owner of the Chinese Safe House next to my house: 2310 Britton Ridge "BONNER Christopher Ray & Katherine".
     I would agree with the pipeline that It does seem like too much of a concidence that the owner of the Chinese safe house next to mine is called "Bonner" and this house with a super high paramiliritary score meters away from the doctor that almost killed my infant son when he was 12 weeks old, is on a street called "BONNER", bonner being a very uncommon name (below 1% of frequency of occurrence) for street names and for last names in the US. It Could be a Chinese marker.
     I am thining "Chinese" because the two houses next to me at Britton Ridge Drive, including the "Bonner" safe house, have Chinese agents coming in shifts every day (different agents, different cars most of the days).
     Katherine could be a marker too (the doctor's name and the co-owner of the chinese spy house next to mine).
     These "coincidences" are almost impossible for a human to see, but for a cluster of servers this is a trivial task.
  5. The layout of the lot of the property right behind "19407 Linden Meadow LN, Richmond TX 77407-3805" is almost identical to the house that is behind what the pipeline believes to be the house of DoctorAlvin Cantero Mena: 3214 Scout Is, Park Row, TX 77494. The properties on the back of both houses have an oversized backyard with a not very common (or efficient) shape, almost looks like a waste of land for the developer.
     It is possible what we are seeing here in this corner is the "Medical segment if one of their Docker Containers".
     The oversized backyard of the properties behind the two doctors' houses could be a marker to be decoded by their systems using satelite imagery as an input, or, it could be that there is a technical / practical / security reason behind that but seems too small to be a buffer zone.

  Medications

  Medications Dr. Carter prescribed to Marcelo after injecting him with a harmful vaccine (she created the symptoms and then pumped him full of medicines):
  Download the list of medications

  Unnecessary Exams: Unnecessary Because They Knew The Real Root Cause Was a Harmful Vaccine Administered on Purpose With The Goal To Harm Him

  
  Download the Summary
  

  ---

• Regarding the Venezuelan Agents "Cutting the Grass" of the Chinese Safe House 2310 Britton Ridge Drive

  [03-08-2025 17h10] The one with the Red t-shirt is the team lead.
  The reason why they have to be agents is because that house and backyard are full of interception equipment. They woulnd't risk the FBI infiltrating the landcaping company and gaining access to the backyard. I would keep an eye on the one doing less psyhical work than the other two (typical Venezulan mentailty). And I can say that without being called "a racist" because I was born in Venezuela, I know how they think. It's like that Tostitos commercial that there are three people doing work in an office, two are working and one is just eating Tostitos. Same idea.
  

  ---

• The Valleyside Marker (Continued)

  It seems like indeed Valleyside is a street marker. I haven't been able to conclusively verify that it marks streets that contains Pokemons (like me), but I am working on that.
  For the time being here other notable Valleyside streets in the US:
  1. Valleyside Place Austin TX USA
  2. Valleyside Drive
  3. Valleyside Rd Austin TX 78731 USA
  4. Valleyside Dr Spring Valley NY 10977 USA
  5. Valleyside Dr Fort Worth TX 76123 USA
  
  

  ---

• One Tip In Case The FBI or the CIA Are Developing An Equivalent Vehicles Mesh Network

  [Technical Audience: Radiofrequency, Near field, Directional TxRx] When I was developing this over the last few days, I anticipated that they would try to scan for signals to discover the directionality, frequency, potency, encryption, etc.
  What I did to counter that preemptively was to use the same software I wrote to shutdown the network of my house when one of their vehicles approaches or when a plane is approaching my house, to again, avoid transmitting anything even if I am waking up the transmitter.
  And as it turns out, it is indeed a necessary feature in this, otherwise the surveillance vehicle could be discovered by one of their vehicles.
  Because keeping the vehicle covert is a must, I would recommend a more aggresive approach, instead of shutting it down, I made (for the vehicle version of the avoidance system) the Down state to be the default, and it is only wakeable when a certain amount of time has passed without any events having been seen (e.g. only if it has ben "quiet" for a while). Works like a charm. I imagine they do something similar with their cars, otherwise at least one of those millions of cars would have been discovered over the last few years.
  

  ---

• The Bizarro Valleyside

  Because they are hidding my previous house (26714 Valleyside Dr, Katy 77494) in Google by replacing it with another street also named Valleyside, I noticed this:
  This other Valleyside street (near Dallas), near it's centroid, just 70 meters away, there is a house that has a paramilitary score of 2.8 Million points!!!
  It could be that "Valleyside" is a street marker, it seems like too much of a coincidence that they "assigned" a house in Valleyside to me using their manipulation techniques, and there is this other Valleyside street, also in texas, with a house nearby that has a score comparable to that of the Iranian presidential compound.
  I will debug more in depth, but for now this is the house that has the score of 2.8 million: 4766 Ocean Dr, Fort Worth, TX 76123 (it's just 70 meters away from Valleyside). The coordinates of the centroid of the cluster are: 32.6202, -97.3988.
  I am particularly interested to see if there could be another target in that other Valleyside. I imagine they need a way to mark the streets that contain the pokemon in a way that is easily recognizable by all agents, even the ones that are on the lower side of the scale in term of level of instruction.
  

  ---

• Note To The FBI (in case they are watching this website): The Highest Ranking Paramilitary Position in The Subdivision Where I Live (Lake Pointe Estates, Katy, TX) Seems to be: Lanham Robert C JR & Pamela J - 2210 Briton Ridge Drive Katy TX 77494

  They have a paramilitary score of 90,000 which is pretty high. This is the same that is always wandering around in that white SUV every time I come out of the house. They wave at me in a friendly manner and everything. I have a couple of pictures.
  This could be a coincidence but mentioning this just in case: I don't know if readers would recall an entry I wrote maybe 6 months ago, in which I noted that at Valleyside, the most experienced and potentially dangerous agent seemed to be not the one next to my house but two houses down to the right side of the house if one is looking facing my house (26714 Valleyside drive).
  Here it seems to be the case too: that house is located in the exact same relative position to my house , and this one seems to be the most dangerous of them all in this case too. Maybe it could be a pattern.
  If it is a pattern, it could be used to find targets, by looking at this squence:
  | House with average score | House Without Markers | House with average score | House with the highest score in 500 feet |
  It could hint that the house without Markers could be a Pokemon.
  

  ---

• I imagine if the FBI is Watching The Show They Probably Already Know This, But Just In Case

  So what they are doing these days to dispatch the cars to pass in front of my house (2302 Britton Ridge Drive, Katy TX 77494) is to use loud noises as signals.
  The noises come in 3 different forms:
  1. Vehicles or Trucks driving on Westheimer Parkway (the road just behind my house) with modified mufflers emitting loud escape noises.
  2. A gardener positioned in one of their many houses in Lake Pointe Estates, using a Gas Blower or a Tractor. When they want to emit the signal they give the machine gas to emit a sound audible probably 700 feet away.
  3. A single engine plane, not flying on the path on the antenna but at a low altitude near-by.
  You will notice that:
  1. These events happen when there is a network event coming from my computer, or, when I check my cell phone (Google Fi 646-299-5724).
  2. When any of these events happen, a car comes driving in front of my house. The correlation between the three observations (network event or cellphone wakes up/loud noise/car driving in front of my house within 60 seconds) is arround 0.989 (I measured it over a period of 7 days).
  
  I of course have the plates of the vehicles and some other signals I am collecting Moscow-style, hahaha.
  

  ---

The "911 Memorial" Street Marker

These nerds are very smart for some things but are just incredibly obvious for others.
There are a series of street addresses that are literally "911 Memor*" (as in 911 Memorial), in fact, there is a "911 Memorial Drive Wylie TX, USA", that just few meters away has a point with a Paramilitary score of 3,000,000 points. The exact point with the Paramilitary score of 3 million is: 605 Valentine Ln, Wylie, TX 75098. Note the street number ends in the rare "05". It was tagged with "Intelligence".
I am getting the sense SpyHELL.org might have a shot at transforming the world very quickly, and nothing is feared more by the Union, than change.


---

• This "Vehicles Parked On The Street Mesh Network" Thing: Is Amazing!

  It's a very powerful idea, it's incredible the amount of intelligence one can derive just by listening for frequencies on the air and taking Still pictures of things that move! This is Amazing.
  I now understand the power of this thing of parking cars on the streets to gather intelligence.
  

  ---

• Important Paramiliary Positions In Katy

  1. Mohammed Faraz Ahmed * Amina RAYEESA: 27011 Stonebury Heights LN, Katy TX 77494 (Paramilitary score=2,800,000). Also falls on the street address numbers ending in 11.
  2. Ginfala Lonard & Ying Liu - 9939 Hutton Park Drive, Katy TX 77494 (Paramilitary score=1,533,000)
  3. The Andrew John Cook & Hairong Yang - 10311 Latta Creek Dr, Katy, TX 77494 (Paramilitary score=52,000
  4. Cohen Michael & Angela: Two Gun Way, Katy TX 77494 (Paramilitary score=21,000)
  5. TOUHY CAPITAL LLC: 10114 Touhy Lake, Katy, TX 77494 (Paramilitary score=141,000)
  Regarding the "Two Gun Way, Katy TX 77494" address: I have been to that house, I was invited to birthday party there on 2022. There is a funny story attached to that:
  At the time, I wanted to sell my watch and buy a different one. I asked Nelson Lara and Rafael Ramirez for recommendations, they recommended a particular brand, and I looked at some options of that brand on eBay. I made a low ball offer on a particular watch I liked but it was rejected by the seller.
  A few days later, when we go to that birthday party, there was one guy with the exact same watch I wanted to buy. He walked right in front of me basically showing me the watch as he walked by.
  I thought at the time: "what a coincidence" because this was a very rare watch. If you wanted to buy it brand new, you would have to get on a waiting list of about two years, and if you wanted to buy it used (like me), you would be limitted to very few pieces in the market.
  I thought at the time: what are the chances that someone in Katy, has this exact watch, and we both collide with each other at this sub-urban property at a kids birthday party with goats?
  I almost took it as a divine sign that I should buy the watch, I mean because it was such an improbable coincidence.
  Now, that guy, is a lawyer from what I recall, and he is married to one of the ladies that appeared in the TV show The Bachellorette some years ago.
  The whole watch thing could have been just a coincidence, sure, but knowing all know about how they operate, and seeing all I have seen in the last few years, if I was to guess, I would guess he is a member (because the house where we encountered each other while he was wearing the watch, is marked in Vladimir Padrino Lopez with a Paramilitary score). I will try to find out his name.
  

  ---

• Venezuelan Informant Just Told Me: Vladimir Padrino Lopez Ordered Dr. William Lane to implant a Small Passive RFID tag on my back

  That's why wherever I go they follow me, to update their secret app with my location, direction and speed of travel.
  It's literally a replica of Pokemon GO, and I am one of the pokemons.
  I imagine they didn't invent this for me, but I leveled up when I invented the Key Opinion Leaders technology in 2020, and entered this "select club" of targets.
  Makes me wonder: how many other people they have tagged with invasive procedures and who are they. I need to find them.
  Risking to state the obvious: There is no difference between this and the Nazis marking prisoners, only the marks can not be seen with the naked eye and only respond to a specific frequency.
  Any doubts they should grant me POW status? - They even gave me a PrisonerID and put it on an RFID tag and implanted it without my knowledge or approval.
  And to be clear, the reason I am making this information public, is not to portrait myself as a victim, I am not a victim. I am posting this publicly, so you, dear reader, can see what is in your future and your children future, and your children's children future, if we don't stop them now.
  They will likely tag all of us with RFID tags and keep tabs on everybody by moving self-driving cars and parking them wherever they want to.
  

  ---

• IRS Claim Number: 2025003968 - The Confirmation From The IRS of Them Receiving The Form 211 About Elon Musk

  I am making this information public so the public and federal agencies can track the processing of this referral to the IRS, and demand accountability from the individuals named and from the goverment employees that try to stop that from happening (like Douglas O'Donnell).
  See the IRS Claim Number: 2025003968 Confirmation
  

  ---

• I am Starting My Own Flexible Mesh Network with Sensors and Vehicles nodes (Moscow-style) And Directional Near-field Communications

  I will make all the signals the nodes capture, public, but I will give them to the authorities first.
  For now it only has 16 nodes, but I will grow it, I promise.
  

  ---

• The Whistleblower Reports to the IRS

  I am doing a campaing of reporting individuals that are marked in Vladimir Padrino Lopez' geo-index to the IRS by submitting Whistleblower reports (IRS form 211).
  My thinking here is simple: In the same way Al Capone got caught for tax evasion, maybe the IRS can raise to the occasion on this one too.
  Each form 211 is sent from multiple locations in case they misroute, tamper, or replace one of the envelopes.
  Also each envelope contains a hash handwriten on the back. This hash is a signature that can be used to verify if the contents of the form were tampered with.
  I separately sent the FBI a letter explaining how to compute the hash signature to verify the integrity of the submissions.
  I am publishing here some of the tracking numbers and Hashes. The one marked in red below is a letter sent to the United Nations:

  Hash	Date Sent	USPS Tracking Number
  AB8713A	03/04/25	9589 071052701112057354
  af2390	03/04/2025	9589 071052701112057354
  cc1098	03/04/2025	9589 0710 5270 1112 0530 11
  dfaa22	03/04/2025	9589 071052701112057323
  FAB358	03/04/2025	9589 0710 5270 1112 0573 16
  719FF8	03/05/2025	9589 0710 5270 1990 0550 22
  7A7F94	03/05/2025	9589 0710 5270 1112 0572 93
  9958AB	03/05/2025	9589 0710 5270 1112 0530 04
  BC9172	03/05/2025	9589 0710 5270 1112 0573 30

  
  

  ---

• New Ledger Markers Identified During Last Night Run of the Pipeline: Flores and Azure Ledger Markers

  The Flores list of ledger markers accumalte what seems to be a large number of "equity" in this Vertically Integrated Criminal Enterprise (this is a new term I learned from LUMINANT media yesterday):
  See The Flores Ledger Markers
  On the other hand, the Azure list, which I imagine has something to do with Satya Nadella, seems to represent less equity, which I guess makes sense in a way:
  See The Azure Ledger Markers
  And remember, the pipeline identified the "Cabello Ledger Markers" months ago:
  See The "Cabello" Ledger Marker
  It seems like a very strange coincidence: What do "Cabello", "Flores", and "Azure" could have to do with the PayPal Mafia? What could possibly be the connection?
  The other important obvservation derived from this is that the "Flores" ledger markers seem to accumulate more equity than Elon Musk's ledger markers, so obviously he is indeed just a frontman, not really an entrepeneur as they portrayed him to be.
  

  ---

• Update: Received this From The Venezuelan Informant

  [03-05-2025 @ 21h12] I don't have a way to verify if any of this is accurate. Posting in here in case the FBI is watching as he says, they would probably have the tools to look into these:
  1. The Political and Military leaders of the organization are concerned because they are convinced the FBI is definitely watching Lake Pointe Estates.
  2. They have drones flying above Lake Pointe Estates and near-by areas.
  3. They are poisoning us with Microplastics introduced via the food purchased at Krogger, HEB and Target. The Microplastics can produce very aggresive forms of Cancer. This is what they did to Hugo Chavez.
  Note (mine): I started storing frozen samples of the food we consume, I am keeping a log consisting of (for each frozen sample of food):
  1. Brand name
  2. Package description
  3. Purchase location, date, time and price
  4. Sample taken date
  5. Consumption period timeframe
  In case he is right and they end up harming us with the microplastics, the samples perhaps could allow tracing this back to the people that introduced them at the grocery store, and from there, well, maybe authorities can get lucky.
  

  ---

• Statistical Anomaly: Too Many Cars Coming In and Out of Lake Pointe Estates

  Could be an extraction protocol, maybe they are taking out the interception equipment one vehicle at a time?
  I don't think they are trying to catch the downlink of my Starlink antennas because they are going on the wrong direction, too fast, and they must already know they can't defeat the avoidance system, for obvious reasons: they would have found the informants already.
  

  ---

• LUMINANT Media: The Production Company That Keeps Producing Hits

  So I wanted to get some education while I am imprisoned by the Presidents that are trying to take over the world using espionage. I decided to watch another of the documentaries they produced with LUMINANT Media.
  This time, I watched: Turning Point: 9/11 And The War On Terror.
  People should watch it, it is amazing really.
  They have some of these key figures from the time of the 9/11 attacks, saying that the NSA was turned into (and I quote): "The biggest espionage and illegal wiretapping operation on the Planet, directed at Americans domestically and abroad".
  I find that amusing because, well, LUMINANT Media is marked in the geo-index with paramilitary scores that are very high. They must know that the biggest espionage and illegal wiretapping machine", even if those claims were true, cannot possibly be the NSA. It is the PayPal Mafia. It's pure logic.
  The PayPal Mafia is using about 2% of the population to spy on the other 98% through the gamification of espionage with a social economy app. That's about 50 million spies doing illegal wiretapping 24/7 on everything that they encounter on their path or that passes in front of their houses, vehicles, schools, businesses, places of employment, etc.
  The NSA can't have as many spies because the entire US population is 340 Million people. To have 50 million spies they would have to employ around 15% of the entire population. It is just not possible.
  Even if it was possible, the reach could not be comparable to this global network that has infiltrated every major company and institution in every single country.
  Side note: Ironically, watching that documentary was what gave me the idea of asking the Presidents to recognize my status of prisioner of war.
  What happened was that they put a former high ranking official in the documentary, saying that at the White House circa 2002, the decision was made to never call the detainees sent to Guantanamo Bay "Prisoners of War" because that would give them certain protections granted by the Geneva Convention, and, according to the former official, the US was not interested in giving these human beings any rights and wanted to treat them as "non-persons" (note: I am trying to write exactly what he said, but I might be missing one or two words as I am typing this from memory).
  Of course, since I know that LUMINANT Media is a propaganda company they control, this allowed me to see that that train of thought is something that they would actually fear themselves.
  So I looked up the deifition of POW in the Statutes of the Geneva Convention and everything it says applies to me and the situation of imprisonment they have me in with the threat of violence or death if I go out.
  My house may not have bars, but for all practical purposes they have me imprisoned. If I go out they will try to kill me again because I have the knowledge and the proof that they killed almost 8 million people.
  I mailed all the presidents involved the letter via registered mail.
  
  

  ---

• Russian Informant Told me: The Wuhan Institute of Virology Is a Paramilitary Research Institute Ran by the Union And The COVID Pandemic Was a Deliberate Attack

  Side note: This infomation came from another informant. The new informant was referred to me by one of the Venezuelan informants.
  This new informant did not speak spanish very well, his English was better, had a Russian accent, declined to tell me his name.
  The information he gave me, seems to be consistent with information we have uncovered from how the PayPal Mafia and the Union operate, for example, the use of the "Immune Geo-Entities Pattern" at this location, and the existence of paramilitary markers in Vladimir Padrino Lopez' geo-index, and the use of vaccines to harm competitors (the "Vaccine Against Competition").
  This new (anonymous) informant, suggested I should check the "The Wuhan Institute of Virology" in the geo-index.
  I was surprised when he said that because, well, he was using the exact same terminology I use on this website. This tells me they are, as an organization, following what I write here despite the fact that they removed the page from Google's Search Index. There is no better confirmation for me than the way the informant talked.
  The anonymous informant said that the COVID pandamic was planned and deliberatly triggered by Al-Queada in combination with the Chinese, Russian, Iranian, Venezuelan and Cuban governments as a way to:
  1. Force everyone to work from home which was very beneficial to them because they had all the strategic "targets" surrounded with agents wiretaping their communications ( as they are doing to me even right now).
     Imagine all the military officers in the world working from home for a year and being spied on by Chinese, Russian, Iranian, Cuban and Venezuelan agents. While fearing to go outside. It's a form of "Civilian Internment" at planet scale.
  2. The anonymous informant said, this was done in part, to gather as much intelligence as possible in preparation for the military occupation of Ukraine ordered by Vladimir Putin.
  3. The anonymous informant said they also took the opportunity to kill hundreds of people that were getting in the way of "the Union", all at the same time and in a way that would look like an occurrence of nature (the COVID virus). The informant said many were actually killed by the "Vaccines", they weren't realy vaccines but harmful agents.
     Risking to state the obvious: Scientists should cross-join databases of COVID-Deaths and COVID-Vaccine-Deaths against the geo-index to see if there is negative correlation with statistical significance.
     Deaths or Injured not marked in the index, but surrounded by markers, could probably be their targets.
     I would start with databases of military, intelligence personnel, and databases of scientists specializing in "Materials Engineering", "Virology" and "Radiofrequency".
     I say this because knowing them, I know they would want to cripple the free world so nobody can do to them what they do to the rest of us (a variant of the immune entities pattern).
     Side note: That elephant in the first photo that has the nose pointing to the glass door, I believe is the same bug the Chinese agents at 2310 Britton Ridge Drive where recently querying at the new house (2302 Britton Ridge Dr).
  
  So I went ahead and checked using SpyHELL.org and sure enough, the Wuhan Institute of Virology is marked as a paramiliritary location in Vladimir Padrino Lopez' geo-index and it has one of the best renditions I have seen of the "Immune Geo-Entities Pattern":
  
  These are the paramilitary markers, note some of them have paramilitary-scores above 1 million (this is Iranian-Presidential-Compound Level), this is definetly a key piece of their paramilitary infrastructure.

  $ python3 -m spyhell \
      --scan_area \
      --latitude=30.376305570699024  \
      --longitude=114.26253218279179 \
      --search_radius_feet=10600 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0   30.37460    114.260                                        2000           308
  1   30.37305    114.266                                        2000           491
  2   30.38100    114.262                                        2000           523
  3   30.38130    114.266                                        3000           646
  4   30.38100    114.258                                       23000           679
  5   30.37660    114.270                                        3000           719
  6   30.37570    114.254                                       33000           823
  7   30.37460    114.271                                        2000           836
  8   30.37200    114.270                                        5000           862
  9   30.36820    114.260                                        4000           931
  10  30.38500    114.264                                       54000           974
  11  30.36820    114.256                                       48000          1096
  12  30.36610    114.264                                       16000          1140
  13  30.38050    114.250                                        8000          1291
  14  30.37140    114.250                                        8000          1322
  15  30.37980    114.249                                       12000          1357
  16  30.36570    114.270                                       16000          1378
  17  30.37740    114.277                                      153000          1396
  18  30.38715    114.255                                       24000          1403
  19  30.37870    114.248                                       88000          1422
  20  30.37045    114.277                                        4000          1535
  21  30.37100    114.247                                        2000          1605
  22  30.38715    114.274                                        2000          1631
  23  30.39110    114.263                                        1000          1641
  24  30.36455    114.251                                       16000          1711
  25  30.38240    114.279                                       20000          1721
  26  30.36090    114.258                                        2000          1763
  27  30.38500    114.278                                       50000          1772
  28  30.37660    114.281                                       72000          1775
  29  30.36250    114.272                                        4000          1781
  30  30.36880    114.246                                      111000          1794
  31  30.36020    114.265                                       48000          1801
  32  30.37200    114.281                                        5000          1838
  33  30.36350    114.275                                        1000          1858
  34  30.36610    114.278                                        2000          1868
  35  30.37460    114.282                                        2000          1881
  36  30.37830    114.282                                       57000          1884
  37  30.39360    114.259                                        3000          1947
  38  30.39195    114.272                                       24000          1959
  39  30.39360    114.267                                       32000          1965
  40  30.37100    114.243                                        6000          1967
  41  30.37870    114.242                                      139000          1991
  42  30.38715    114.245                                       47000          2070
  43  30.38830    114.246                                      157000          2072
  44  30.35820    114.269                                       87000          2101
  45  30.36020    114.250                                       20000          2154
  46  30.37740    114.240                                        3000          2169
  47  30.39610    114.260                                       61000          2208
  48  30.39360    114.274                                       28000          2211
  49  30.35660    114.258                                        8000          2228
  50  30.37140    114.240                                        2000          2233
  51  30.36740    114.284                                        4000          2288
  52  30.39680    114.267                                      107000          2312
  53  30.36820    114.285                                       81000          2339
  54  30.35870    114.276                                       23000          2342
  55  30.35870    114.249                                       20000          2346
  56  30.39725    114.267                                        2000          2361
  57  30.39680    114.255                                       56000          2385
  58  30.36880    114.239                                        3000          2410
  59  30.37140    114.287                                       36000          2414
  60  30.39030    114.243                                       18000          2435
  61  30.37570    114.288                                       15000          2449
  62  30.35455    114.254                                       14000          2547
  63  30.35390    114.270                                       56000          2586
  64  30.37740    114.235                                       47000          2649
  65  30.39900    114.272                                        1000          2675
  66  30.35290    114.255                                       54000          2694
  67  30.37140    114.235                                        2000          2702
  68  30.37045    114.235                                        4000          2725
  69  30.35150    114.268                                       12000          2800
  70  30.37660    114.292                                       32000          2833
  71  30.40210    114.269                                       28000          2926
  72  30.40305    114.262                                      109000          2965
  73  30.40305    114.258                                       96000          2997
  74  30.37740    114.294                                      254000          3027
  75  30.34665    114.264                                       16000          3291
  
  
  

  
  Gong Peng, Guan Wuxiang, Xiao Gengfu Are Flagged In Vladimir Padrino Lopez' geo-index. The pipeline tagged them with the "War Criminal" tag.
  This is a personal opinion (mine): I urge federal agencies in the US and investigative agencies of the remaining free countries in the world: PLEASE investigate and scrutinize what the anonymous informant told me and my investigation detailed in my journal entries (you can download the full archive here).
  This might be one of the worst crimes against humanity of the entire human race history amounting to almost 8 million deaths (7 million from COVID + 700,000 as a result of the War on Ukraine). This is is in the same order of magnitued as the Holocaust.
  I understand now why they have tried to kill me at least four times, this is not even about money or power, it's about covering up crimes against humanity. If they killed almost 8 million people already, killing one, two, four more, is nothing to them.
  

  ---

• The Venezuelan Informant Told Me: The Way The PayPal Mafia Found Out About My Spinal Injury While I Was In The US

  The Venezuelan Informant gave me this gem of information that I believe ties directly Jeff Bezos, Elon Musk and James H. Clark to Vladimir Padrino Lopez.
  I didn't remember this, but looking in retrospective, it must be true because I had never had a back problem or complaint about back pain since I left Venezuela, until they installed the torture devices on my work chairs.
  The Venezuelan Informant reminded me of this:
  
  09/11/2001 (The same day of the 911 Attacks): It was my first day of work at PDVSA (the State-owned Venezuelan Oil Company). I was joining as an engineer assigned to work on Gas Plants turbines.
  It was protocol that the first day of work, new employees had to go through a very rigurous medical examination.
  On this first day of work, on 9/11/2001 at 7am I reported to the company owned clinic to undergo medical examination. I remember being in the lobby of the clinic with my mother when the first plane hit one of the World Trade Center towers. This is how I remember the date of the examination.
  As part of the exams they did several X-rays.
  The doctor noted that I had a problem in my spine and that a nerve could be compromised or could become easily compromised by the injury. He told me verbally that he had to write that down in his report, and that the hiring commitee would decide if they kept me employed or not (based on the existence of that injury).
  I know it may sound like discrimination today, but 24 years ago, that was a standard hiring protocol, at least in PDVSA: No person with a back injury could be employed by the company.
  I remember there was a bit of back and forth, and Antero Sanchez (the father of the same Gustavo Antero Sanchez the PayPal Mafia sent to steal my code), intervened, and I was able to keep my employment.
  For context: Antero Sanchez was the general manager of the entire medical department of PDVSA in that area of the country. He had perhaps 300 doctors and nurses under his employ at the time.
  The informant told me that those medical records were accessed by Vladimir Padrino Lopez and Transmitted to Pierre Omidyar, James H. Clark, Jeff Bezos, Travis Kalanick and Elon Musk. This is how they knew where to hit me that would physically hurt the most.
  As I said, when the informant told me this, I started thinking about and it and I think it must be true, I don't recall ever going a doctor for back pain since I left Venezuela in 2003. What the informant told me, is very likely to be the way how they obtained information about my back injury.
  Another data point: After the PDVSA Oil strike of 2002 when everybody was fired including Antero Sanchez, his wife Nubia, was one of the few lucky Venezuelans that found employment in Miami. From what I recall, the story was that she would come to Miami for one week a month to help an eldery person, and she would be one week in Miami and then several weeks in Venezuela, and received payment in US currency which was very beneficial because of the exchange controls that were imposed in the country during that time.
  Another important data point is that the Sanchez have a daugther, who lives in the Great Toronto Area, who is very good friends with Alejandra Troconis, who is a well known agent with direct ties to the SEBIN.
  Risking to state the obvious: Karma has a certain poetic flare. Isn't it ironic that I captured their geo index on 9/11/2024, exactly 23 years after 9/11/2001?
  

  ---

• The "Technicians" That Sold and Installed The A/C To Cool Down The C7000 Cluster in our Headquarters: They Were All Agents of The Venezuelan "Intelligence" Services

  They got additional karma points for asking for payment in cash and promising to send an invoice but they never did. I imagine they probably did not report the income to the IRS.
  Note: I have the serial numbers of the $100 bills I gave them, I took a picture of the bills before paying them. Maybe they deposited them.
  
  
  
  

  ---

• The Shape and Size of the Pools of Private Residences: They Have a Meaning

  The presence of a pool in a given property marked in Vladimir Padrino Lopez Geo-index, is a marker that signifies that the agent has achieved at least level "3", in the hierarchy of the organization.
  To find examples: I would look at agents living near Valleyside Drive that got their pool constructed in the last 4 years. You could also look at people in our (Gloria and I) contacts' likst (Google Contacts), and intersect with people marked in the geo-index and that had their pool constructed in the last 5 years.
  I have a pipeline training a classifier based on tags we have already assigned to these houses.
  The shape of the edges of the pool, has a significance.
  In case US agencies have access to historical satellital imagery: You will notice in the most dangerous safe houses (the ones with highest paramilitary scores): the pools are there but are never used.
  This is for obvious reasons: Agents coming into the houses in shifts don't want to show their faces because if someone sees too many different faces, over time, it would raise suspicions about the true purpose of the house.
  I am mentioning this because if agencies have access to more continuous satellite imagery than whats public on the internet, this could be turned into a signal for detection of safe houses.
  Case in point: The two houses next to my cell: 2310 Britton Ridge Drive Katy TX and 2218 Britton ridge Drive, Katy TX 77494: They have all sorts of children toys, bouncees, trampolines, etc, and amazing pools, but you never see anybody using any of that, let alone children. There are no children in those properties, unless they are conducting an operation to try to harm me (the "little girls operational marker").
  All those things in the backyard are a mixture of: geo-markers to be decoded from satellital imagery (by their systems) and RF reception/interception equipment, that's all there is in those backyards.
  
  Risking to state the obvious: The most effective course of action is probably identifying a few agents from this golden set agencies now have (agents near me in the last 5 years), then find the companies that did their pools. Those companies must have the master plans for the pools, there must be a finite number of designs and plans because they are geocoding features. Once you capture the plans of the pools, you can identify all the pools in the world (more or less same idea as what I did with their geo-index).
  
  

  ---

• March 4th, 2025

  FROM: Reinaldo Aguiar - 2302 Britton Ridge Drive, Katy, TX 77494

  TO: Xi Jinping, Vladimir Putin, Vladimir Padrino Lopez and Miguel Díaz-Canel

  CC: The Honorable Attorney General of Texas, Ken Paxton

  CC: Federal Bureau of Investigations (FBI), Organized Crime Unit, PayPal Mafia Task Force

  Gentlemen,
  I hereby formally request that you grant me the status, treatment and assurances of a Prisoner of War (POW) as detailed in the 1929 and 1949 Geneva Conventions.
  Given the circumstances extensively documented troughout the last 12 months, it is a clear, notorious, public and obvious fact that you have me imprisoned on my own residence, surrounded by your military personnel and under the constant threat of violence and death if set one foot outside the door.
  I believe the exact technical definition for this type of imprisioment detialed under the Convention could be "Civilian Internment", although it may not be applicable in this case because, legally speaking, you do not possess the legal powers to categorize me being in possesion of your geo-index a "national security threat" since me and your military personnel, are all on American soil.
  I believe the more correct categorization would be that of a "Prisoner of War" (POW).
  I remind you that under the statutes of the 1949 Geneva Convention, all POWs must be treated humanely in all circumstances. Prisoners of War should be protected against any act of violence, as well as against intimidation, insults and public curiosity.
  The convention also defines minimum acceptable conditions of detention covering such issues as accomodation, food, clothing and medical care, all of which have been made inaccessible to me by the persistent and relentless attacks and threats by by your military personnel operating on American soil, and specially in Katy, Texas.
  I take the opportunity to remind you that killing a prisoner of war is a serious war crime punishable by death according to international law.
  Signed,
  s/Reinaldo Aguiar/
  Prisoner of War, Prison of Lake Pointe Estates, Katy, Texas, 77494
  2302 Britton Ridge Drive, Katy Texas 77494
  

  ---

• The Bizarro President and Bizarro Vice-President Have Been Detected by Our Automated Pipeline

  [03-04-2025] For context, new readers please see the previous journal entry of when we discovered the existence of the Bizarro Diplomats.
  Note: This is not a metaphor. I am writing this entry in the most literal sense possible.
  After several iterations through the entire ecosystem of entities represented in our system, the pipeline got to a point where I think it is safe to conclude who are at the top two positions of power in this parallel society they are operating in the shadows.
  

  Xi Jinping Is The Bizarro President of at least the following Countries: Venezuela, Cuba, Colombia, Canada, Mexico, Chile, Peru, Argentina, Dominican Republic, Minsk, Latvia, Estonia, Poland, United Kingdom, Hungary, Bazil, The Philippines, South Africa, The Vatican, Italy, France, Switzerland.

  Vladimir Putin Is The Bizarro Vice-President of at least the following Countries: Venezuela, Cuba, Colombia, Canada, Mexico, Chile, Peru, Argentina, Dominican Republic, Minsk, Latvia, Estonia, Poland, United Kingdom, Hungary, Bazil, The Philippines, South Africa, The Vatican, Italy, France, Switzerland.

  The United States seems like they just took it too in the past presidential elections, although the pipeline detected a series of statistical anomalies, that I am not going to disclose for strategic reasons, that suggest that they might have failed to capture it.
  For more information on the captured countries, please consult the Presidents Club journal entry.
  

  ---

• Kelly and Cole Watkins and TheBridgeGroupTx.com Are Flagged in Vladimir Padrino Lopez' Geo-index

  [03-04-2025] The pipeline additionally tagged them with the UYE, "Explosive Growth" and the "Luxury Personal Property" tags.
  They were co-clustered by the pipeline with: Agents Priddy / Jojo "The Trip" trainer at Villasport & Husband / Carrie Leigh Lunceford / Michael Lunceford / Erin Lunceford / Stephen Lunceford / Angela Lunceford / Daniel Lunceford / Carlton Woods Associates Inc / Carlton Woods.
  They gained physical access to our headquarters in one ocassion (when Elon Musk made me believe for a few months I had to move to California). They brough in photographers and drones, I imagine to survey the location of furniture, etc, so the chinese could plan their new generation of surveillance.
  

  ---

• The CEO of Kroger, Ron Sargent, Is Marked In Vladimir Padrino Lopez' Geo-index

  Given that the latest poisoning attempts with harmful materials are coming from Kroger, I will give all the observations I have gathered regarding Ron Sargent and his extended family, directly to the FBI, if I manage to survive this and meet them.
  The informant told me that their motto is: "Those who control the food, control the People".
  I can see why.
  

  ---

• The Pipeline Detected Positive Correlation (stat sig.) Between The Number of PayPal Mafia Vehicles Observed In the Recordings I Have of Shell And Buckees Gas Stations In Katy, and The Brent Crude Oil Futures Prices

  [03-04-2025] These people might be geniouses. It's humbling to witness this, really.
  This is something that really should be investigated by the Financial Crimes Unit of the FBI, independent verification is URGENTLY needed here because of the implications of this.
  If this turns out to hold true with a larger sample, as in a nation-wide sample, what this would suggest is that they might be using coordination of millions of agents, to artificially inflate Oil and Gas prices worldwide.
  It is possible they are manipulating the entire Energy Market.
  Who controls the largest oil and gas reserves in the world? Russia, Venezuela and some Arab countries.
  
  Risking to state the obvious: To maximize the impact of this technique, if I was in their place, the logical thing to do to maximize the effect would be to align the peaks of artificial consumption with the lowest points of inventory in the strategic oil reserves of the US.
  In other words, excercise maximum pressure when the reserves are at their lowest.
  It is possible that they have recruited some of the decision makers that make decisions on how/when to use the strategic reserves.
  This could be one of the biggest heists in history because it might have been going on for decades and because of the dollar value of the transactions in international energy markets.
  
  From what I can see in Vladimir Padrino Lopez' Geo-index, it seems like the "Oil Business" is controlled by the family of Nicolas Maduro. So I will add this entry to his folder in the archive.
  

  ---

• Informant From The Venezuelan Army Told Me That Vladimir Padrino Lopez is Trying To Poison Me And My Mother By Targeting Food Purchased At Krogger

  [03-04-2025] I don't have a way to test the food, so I am posting this here in case something happens to me or I develop a "rare illness".
  The informant told me that the way they are doing it by targeting all food except what Marcelo and Sebastian eat. He explained that they know what each member of the family eats. They have all this information catalogued in a computerized system (this is what the informant told me).
  So Gloria, my mom and I are at risk.
  This is comming directly from an informant that is a high ranking official in the Venezuelan Armed Forces, I will ask the informant if they would like to come forward and talk to the authorities, when Vladimir Padrino Lopez is captured or arrested.
  I am also making public the IRS From 211 sent to the IRS on 03-03-2025 reporting Douglas O'Donnell and other co-conspirators. I am making this public so it can be traced by federal authorities more easily and also to remind Mr. O'Donnell and other co-conspirators that they are part of the same organization ran by Vladimir Padrino Lopez, that is trying to physically harm me.
  I also would like to remind them that there is the possibility of capital punishment for murder in the state of Texas.
  

  ---

• 03/03/2025: The People Passing In Front of my House Waving a White Piece Of Fabric

  I have seen this three times today, two were from moving vehicles in which one of the occupants of each car had the window lowered and was sticking their arm out of the window waving the piece of fabric/cloth. One of them was child maybe 10 years old.
  The other was a woman walking at around 21h45 in front of the cameras.
  I don't know what to make of it, I don't know if it is Vladimir Padrino Lopez saying "I surrender, you win", or if is a way to threaten me.
  I think there is country in South America in which it is customary for people to wave a white cloth during funeral prosessions, I think it is Colombia but I am not sure.
  Mentioning in case anyone can think of another possible meaning for this seemingly intentional behavior of different people passing in front of the cameras.
  

  ---

• I Sent Douglas O'Donnell a form 211 To Report Douglas O'Donnell

  [03-03-2025] I think this is a good test to assess the integrity of the IRS as an institution, and of Douglas O'Donnell as head of the institution and former director of the Enforcement division (I would expect that he processes the Form 211 even if it mentions him, or at least take a leave of absence while it is evaluated).
  I am writing here the tracking numbers so all federal agencies that may (or may not) be watching this website, can follow the envolopes as they move through the USPS network, and as they get processed by the IRS.
  Here are the tracking numbers:

  a) Shipment #1.
  Form 211 Addressed to The IRS Whistleblower Office: 
        USPS 9589071052701112053035
  
  b) Shipment #2.
  Form 211 Addressed to The IRS Whistleblower Office: 
        USPS 9589071052701112053028
  

  
  

  ---

• Trespassing Incident: 03-03-2025

  This "dog walker" has done this twice today, he directs his dog to get inside my front lawn as much as the leash allows. I imagine they have two goals in mind when they do this:
  1. To scan as close as possible to the starlink antennas, to see if it is that I have shrinked the field of the antennas;
  2. They think I am going to make the mistake of posting a video of the incident. What they really want is to understand the capabilities of the license plate readers and the effective field of vision, that's why they passed the UPS truck at the exact moment I was giving verbal notice to this person that he was trespassing and that I would call the police if I kept doing it.
  
  What they really want is to understand the angles and field of vission, they can't reproduce them or guess them because I obfuscated their view from behind the mailbox.
  Vladimir Padrino Lopez: I am one step ahead in this area too, even though this is not my area of expertise, but you are just too obvious.
  
  Risking to state the obvious: Under no circumstances I will let you see the video of the ALPRs. You will see them only in court.
  
  

  ---

• I Understood Something: The Vehicles Trying To Catch the Signal pass West to East on Britton Ridge Drive

  
  This is going to be helpful to eliminate noise from the observations.
  This is the reason why this is the only way they can do it:
  They know the License Plate Readers can accurately detect and read the license plates if the vehicles travels at less than 20 mph.
  The constrain they have is that when they pass in front of the main arch, they need to do so slowly, so to maximize their chances of catching the downlink signal of Starlink.
  So if they are coming West->East and driving slowly, when they reach the cameras behind the mailbox they are going be slow moving and the cameras will catch the plate. For this reason the vehicles trying to intercept singals don't have a front license plate, and they accelerate right before reaching the mailbox, so when they pass it, it is possible that they might evade sometimes the automatic license plate reader facing east.
  Now, on the opposite direction it doesn't work, if they are comming from the east towards the west, if they are speeding, they won't be able to reduce the speed fast enough in the critical zone (in front of the arc) as to have a chance to capture anything.
  So basically we need to focus on vehicles that:
  1. Are traveling West to East
  2. Are moving slowly when passing in front of the arc of my house (main entrance)
  3. Don't have a front license plate visible where it should be
  This applies to regular vehicles only, bus and large vehicles are an exception because they can go faster as they have a larger effective area.
  

  ---

• That box that is rolling on my front yard on 03-03-2025 at 14h25: The agent that is on shift on 2310 Britton Ridge Drive put it on his yard to roll to mine

  [03-03-2025 @ 14h25] He got recorded by the cameras.

  ---

• [03-03-2025 @ 13h51] 2310 Britton Ridge Brings In a Mesh Vehicle SUV Silver Color
Person wearing red sweater and black pants.

---

• YouTube: Changes to Copyright Restrictions of the "Secret Agent Man" Music Track Were Detected

  It seems like there have been certain changes in YouTube Copyright restrictions for "Secret Agent Man" track.
  This is the track I use in most of the videos where agents can be seen operating.
  I imagine it could be a way to issue a takedown request based on DMARC or Copyright restrictions. That's what they do when they see themselves exposed, they try to use legal loopholes to try to hide the truth.
  Note: I don't know if the change in copyright is real, or someone just changed the configuration in YouTube, the fastest, easiest and least traceable way seem to be changing the configuration in YouTube.
  

  ---

• The Footage I am getting from This Is Amazing

  [03-03-2025 @ 08h15] They are burning the poor woman agent from 2218 Britton Ridge Dr, Katy, TX 77494, like literally torching her in front of the cameras. It's sad to watch really.
  

  ---

• [03-03-2025 @ 7h53] 2310 Britton Ridge Takes Out the Mesh Vehicle Toyota SUV Gold Color

---

• How Was I Able to Resist The Economic Warefare For Years

  I was chatting with one of my good informants from the Venezuelan Army yesterday. I don't have a way to verify if this is true, but transcribing here more or less what he told me:
  Vladimir Padrino Lopez and the New York Law Firm they are using, are working on an agle of planning to say that I was "financed", pointing to that I have been unemployed since Elon Musk terminated my employment after he bought Twitter, and I had the founds to purchase a second home to escape Valleyside without taking out a loan.
  Note: I couldn't take a loan because they would have known the address of the house and they would have bought it cash so I could not escape, this was documented before.
  
  I think it is one of the worst legal strategies I have heard of because my finances are completely auditable, every dollar can be traced back to employment income and taxes paid. The opposite is true for the members of the PayPal mafia.
  But just to address it preemtively, this is how I managed:
  There were several factors and three mistakes the PayPal Mafia and Vladimir Padrino Lopez made:
  1. Mistake #1 of the PayPal Mafia: When they hired me at Google, they gave me low salary but a relatively high number of stock/shares vesting in the future over 4 years, this was in 2010. I almost never sold any of my stock as it vested, I saved it.
     The stock of Google jumped from something like $500 in 2010, to more than $3,000 in 2020 (in equalized basis regarding the stock split). So all those years of work, multiplied by 6x in terms of dollar value. So those 9 years of work and savings, transformed into an equivalent of 45 years of work and savings in terms of dollar value.
  2. Mistake #2 of the PayPal Mafia: When they gave the order to Scott Weinstein and Sinead Strain to ramp up the harassment at Goldman Sachs I decided to leave and negotiated a contract with Twitter. To mess up with my self-steem, they instructed Twitter to offer me a lower salary compared to Goldman Sachs but offered me the difference in Stock vesting over 4 years, so again it was a high-stock situation very similar to Google's, but this time, there was a factor they did not see: The COVID Pandemic.
     You see, the way those contracts work is that the compensation you negotiate gets converted to "Stock equivalent" or "Future visting shares" using the price of the stock during the week you joined the company. And I joined at the lowest point of stock value in history because of the pandemic, I can't recall the share conversion price I got, but it was very low, something like $27/unit, so my negotiated contract was converted to a lot of stock. Again, I did not spend it, did not take vacations, did not buy a Ferrari or a bigger house, I saved it all.
  3. Mistake #3 of the PayPal Mafia: When Elon Musk decided to take fromal ownership of twitter and fake that transaction to do that media show and steal billions of dollars in loans, he paid $54 per stock unit, effectively more than doubling the value of my already inflated number of shares (because of the pandemic effect described in Mistake #2 above).
  
  

  ---

• 2218 Britton Ridge Dr, Katy, TX 77494: Changes Mesh Vechiles

  [03-03-2025 @ 07h05] 2218 Britton Ridge Dr, Katy, TX 77494: Brough in a new vehicle and parked it in the exact same place as the one that just left. This is a different vehicle though, this one is white, the previous one was color gold.
  Maybe they are just changing shifts.
  

  ---

• Strange: Five (5) Vehicles of the Cluster left their safe houses within 5 minutes

  [03-03-2025 @ 06h45]
  I don't think I have ever seen these 5 alerts tigger together almost at the same time. Maybe they are activating some kind of a protocol.
  Could this be related to the discovery yesterday that Vladimir Padrino Lopez has been providing technology, platforms and logistics to Al-Qaeda?
  Remember, there was an Authorization to Use Military Force (AUMF) against anyone that harbored, aided or assited Al-Queada. I don't know if that AUMF is still in effect, but I will do some reading on this.
  These are the houses in this cluster that the vehicles came out from between 06h38 and 06h43:
  1. 24910 Teal Lake Ct, Katy, TX 77494 (this is where they are coordinating from this week)
  2. 2218 Britton Ridge Dr, Katy, TX 77494
  3. 2210 Britton Ridge Dr, Katy, TX 77494
  4. 24927 North Point Pl, Katy, TX 77494
  5. 24918 Mist Lake Ct, Katy, TX 77494
  
  

  ---

• Brian Johnson: Is Flagged In Elon Musk's Geo-index

  Additionally was tagged with "Netflix Infomercial" (Don't die). The pipeline thinks the Infomercial is pushing "gene therapies" and deregulation of Electronic Medical Records.
  

  ---

• The Time Vladimir Padrino Lopez Waged Jihad

  The compound where Osama Bin Laden was killed, is marked in Vladimir Padrino Lopez geo-index and also displays the "Immune Geo-Entities Pattern":
  

        
  $ python3 -m spyhell \
      --scan_area \
      --latitude=34.16932439628054 \
      --longitude=73.24244439630044 \
      --search_radius_feet=1600 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0  34.16770   73.24380                                      294000           219
  1  34.16720   73.24025                                      112000           311
  2  34.17255   73.24170                                       92000           364
  3  34.17000   73.24650                                       92000           381
  4  34.17285   73.24380                                       20000           411
  5  34.16700   73.24290                                       18000           261
  

  
  To be fair, Vladimir Padrino Lopez became minister of defense on 2014 and Osama Bin Laden was in that compound in 2011, but well, I imagine Vladimir Padrino Lopez didn't start using the geo-index on his first day as minister of defense but probably before that.
  I wonder if this finding could potentially elevate the PayPal Mafia to the category of Terrorist Organization.
  
  

  ---

• LUMINANT MEDIA: The company that produces the "Turning Point" documentaries for Netflix Is Flagged in Vladimir Padrino Lopez Geo-index

  And it also displays the "Immune Geo-Entities Pattern". The corporate address is here in Texas: 6555 Sierra Dr, Irving, TX 75039. It is located next to Microsoft and the Dallas Data Science Academy. Sounds like an interesting location to me.
  

              
  $ python3 -m spyhell \
      --scan_area \
      --latitude=32.898392256895605 \
      --longitude=-96.964239060693 \
      --search_radius_feet=600 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0  32.899000 -96.963733                                       18000            82
  1  32.898467 -96.962600                                       15000           154
  

  
  

  ---

• Why Would They Inisist in *Trying* To Intercept Me When I Go Outside, If They Know I Don't Carry A Cell Phone

  I know how this will sound, I understand why people could be skeptical, and because of that I am trying very hard to find any other explanation for their efforts.
  As I mentioned in the past few days, all these agents are basically camping and taking turns at passing in front of my house. If I go outside, even for a brief second, they immediately come driving in one of their cars.
  From my measurments, it seems like it takes them about 1 minute to get in the car and start driving, so they must be very close to the door of their houses, or maybe even waiting in the cars, and that's all fine, I understand the owners of the circus are desperate for information.
  But I am a logical person, I have to ask myself: what is that they are hoping to achieve with the low-latency response to me going out.
  I ask myself this question because they know that I don't carry a cellphone or any kind of electronic device with me, even if I go outside to fix something in the yard. So the question I ask myself is: what is their goal? Are they doing this just hoping that I make a mistake and bring a device outside? - I don't think they would be so naive.
  Also, one must remember that they probably see every one of their own moves as a risk these days. I have sent communications to several federal agencies, including the FBI, the CIA and the DEA, among at least 12 other agencies that could have called the FBI already. They must see risk of being watched as they operate and be caught red handed.
  So I imagine, every move they make at this point, they probably take into account the level of risk and potential gain before making that move.
  That leads me back to the question: if they know their chances of success are tiny or null (because I don't carry any electronics with me) and the potential risk is high (the FBI could be watching my house), why do they insist? What are they hopping to achieve?
  I challenge all our readers to come up with ideas or potential explanations to this seemingly illogical behavior. I know they think logically, I know there must be a reason, please help me find it.
  I know how this will sound but I have thought of this long and hard and really can't see any other possibilities, this is what I have thought so far (but if you can think of another possibility, please email me at reinaldo at reinaldo.ca):
  1. They do have a way to harm me if they can pass close enough to me (I don't know exactly what would be the mechanism they would use, but they see a way of causing me physical harm), so they keep trying.
     Or,
  2. It is just a form of harassment, hoping I will get tired and desist in my efforts;
     Or,
  3. They implanted the bug inside my body when Doctor Lane put me under full sedation for that epidural injection in 2022. This could explain why it doesn't matter if I carry a cell phone or not, they still want to pass close to me because they know they could download data from that bug.
  To be clear: I am not saying that I believe they implanted a bug inside my body, I don't feel anything foreign under my skin, or any kind of pain or redeness that could make me think that. I am just saying , that that could explain why it doesn't matter if I carry a cell phone or not, they still want to intercept me (as documented in multiple videos before).
  Just to be safe: Please add this to my last will and testament: If something was to happen to me, I request an autopsy to be performed by a medical examiner from the FBI and that is not from Texas (no offense to anybody, but they have already recruited the Governor of Texas, The Attorney General of Texas, the Mayor of Houston, The District Judge of Harris County Lina Hidalgo, and at least Officer Banitt Badge 929).
  And again, if anyone can think of any other explanation for the seemingly illogical persistence, please send me an email to reinaldo at reinaldo.ca, we are all brainstorming here!
  

  ---

• Ubuntu: tracker-miner-fs Has Been Flagged

  They didn't even try to desguise it. They are too confident, I think that is their biggest flaw.
  

  ---

• The "Oops, I Forgot Something" Maneuver (24927 North Point Pl, Katy 77494)

  [03/01/2025] This was actually pretty funny, it happened this morning 03/01/2025 at 7h37 in front of my house.
  
  Important note: 24927 North Point Pl, Katy 77494 is a notable, well-known safe house, we believe to be operated by the Russian Intelligence. I don't know exactly what branch of the Union this house reports to, but that commander is one of the less capable ones. He has made several mistakes over the past year, many have been documented before on this page.
  A notable example was when I wrote an email to Phil Denning mentioning the military grade antennas installed in different houses in the subdivision, the next day he removed the antenna from his garden and mounted and installed it on top of an RV they had parked in the driveway, to both confirm he was reading my emails to Phill Dening, and also allowing me to take 4k resolution shots of the antenna from up close, even capturing the barcode on the feedhorn device.
  So this morning, because I banned the black Tesla from the house for being a lethal espinage machine capable of extending the range of the bugs the Chinesse got inside my house, I went outside to put Marcelo's stroller in the car while the car was outside the house. This is what happened and got recorded in the video below:
  1. I start walking towards the Lethal Tesla
  2. As I am walking down, I see that an agent is exiting the driveway of 24927 North Point Pl, which as I said, is a very well known safe/spy house.
  3. Once I noticed the car and I can foresee that he will pass in front of my driveway at exactly the same moment I will reach the car, it is obvious to me he wants to "sniff" the mac address of my cell phone (same old PayPal mafia trick since 2001)
  4. Since I know that what they do only works if they "collide in time and space" with the target (me in this case), I stop short, to throw off the planning of their App. Same idea you can see in this video of the Game Over Maneuver.
  5. I wait for the agent to pass and I continue making my way to the car
  6. As I am half the way there .... Wait! The agent made a U-turn and came back for a second attempt at clonning my cell phone! Amazing!
  7. I of course, to throw their App's plan off (again) turned arround too =)
  8. Then he went back to his "safe house" and a little girl came out of the SUV running as if she forgot something
  
  Watch The Agent of 24927 North Point Pl, Katy 77494 Not Thinking Things Through on YouTube
  
  On the subject of the "little girls running", this is one of the most dangerous markers I've seen. I have seen this several times.
  When they are going to do something that is dangerous (for the target or for other agents) they always carry arround small children around 6 to 8 years old, always girls, wearing white clothes head to toes.
  In one ocassion, at a bank, when I was about to escape Valleyside and they were desperate to know which house I had bought, while I was at the bank, one of their agents came in with three little girls like the ones described above, and he was carrying a backpack with a handgun visible and he walked in front of me basically showing me the gun. All this should be in the sucrity cameras of that Chase Branch.
  So today I saw that little girl running, and yesterday the agent of 2310 Britton also had a little girl running while he was parking the SUV transmitting to the house.
  So I take it as I am not completely safe at the moment, too many little girls running near me in the last 24 hours (which has only happened like 4 times in the last 6 months in total, two of those being in the last 24 hours).

• Commonwealth Fusion Systems: Super flagged, Dangerous

  Was tagged with the "Systems" prominence marker (like Applied Protein Systems, City Storage Systems, Quantitative Systems, Givens Lifting Systems, Handling Systems International, among others).
  

  ---

• The "Enclave" List

  Please see: https://docs.google.com/spreadsheets/d/1kSS8OlQweQ4-1Re_mgbh80jbJTXAVIHL5uBjkYdDRfA/edit?usp=sharing
  

  ---

• Call the RCMP S'il Vous Plait: Shivon Zilis Is Flagged In Vladimir Padrino Lopez' Geo-index

  She is super-flagged. Several properties tied to Shivon Zilis and her extended family, are marked in the index with paramilitary scores.
  

  ---

• Maria Eugenia and Anyelis - 26710 Enclave Cove Ct Fulshear 77441 - Very Prominent - Channel cero: Super Flagged

  
  

  ---

• I Witnessed A Cool Chinese Spy Techinque Yesterday: Sharing It Here In Case The FBI/CIA/RCMP/MI5/MI6/MOSSAD Are Watching This Website, They Can Look For This Pattern

  [Technical audience, RF, Networking, Cryptography]
  So I saw this first hand yesterday at the Safe House the Chinese Goverment setup next to my house exactly the day after I moved here on 06/27/2024. It is located at 2310 Britton Ridge Drive, Katy TX 77494.
  The problem they are trying to solve is that they want to narrow down the Satellite my starlink terminal is connecting to at a given time, to try to find the informants that I am talking to, I imagine to silence them, or worse.
  So they have these spy vehicles full of sensors of all kind watching the spectrum and sending video feeds to detect movement, activity, etc. The cars connect to their secret mesh network and send the data that way, in encrypted chunks, routing different chunks through different segments of the mesh network. This way, if law enforcement manages to capture a segment of the stream, they can't decrypt it because they don't have the other chunks.
  TIP: If I was designing a system like this, I would make the size of the chunks be smaller than the window of the encryption cypher used, so each chunk is guaranteed to be "incomplete", thus indecipherable if alone.
  So last night by observing what they do, I learned two things:
  1. The vehicles are nodes of the mesh-network, and depending how they arrange the vehicles on the land, they can dynamically modify the topology of the mesh network, it's pretty clever actually. Certain vehicles can basically extend the Mesh or create new paths in the topology depending where they are located.
  2. Vehicles communicate with houses via near field communication, probably directional (for security). It's not a radiant signal but a directional signal. That's why they have that remote inside the cars that has four arrows in it (I have several pictures of those). So I think there are four possible transmission directions for these vehicles (front, back, driver-side, passenger-side).
  So what they did last night was very mothodical (I have all this on video, just typing it out to convey the idea):
  1. They waited until Gloria went out to pick Sebas at his work.
  2. At that exact moment, they brought two vehicles to the safe house 2310 Britton Ridge Drive. The regular vehicle of the house came inside the garage, the second vehicle was parked outside of the garage being parallel to the garage gate (so the transmission side is: Driver-side).
  3. They put the high beams of the car to blind my camera
  4. They turned on an incandescent light they have pointing straight to my camera (again to blind the camera)
  5. They opened the garage gate and left it open all night (so the car can beam the data to inside the garage). With the garage gate closed it doesn't work because those gates are made of metal and block the signals (this is a design flaw of their system, they could have made the gates of another material that lets pass that wave length, but they didn't).
  I went outside and with the naked eye it was impossible really to tell that the gate was open, the visual trick works very well, it blinds not only the camera but the human eye too.
  But ... I grabbed my flashlight and by just pointing it at the garage, I could see that they had left the gate open but hidden behind their incandescent light, which made it obvious to me what they were doing with that car.
  Side notes:
  1. The position where that car is parked aligns very closly with one of the coordinates of where we have our starlink antennas, I think with an error of less than 5 feet.
  2. I think they did this in a way to try to "mess with my head", because in reality they have no need to open that gate, they could just beam the data on the back side of that car which would send the data to the kitchen of that house.
     Those three vertical windows that are visible behind the car, is the kitchen of that house, I know because I went to see that house when it was up for sale, I even made an offer on that house, but ofcourse, they purchased it so I could not escape Valleyside, this was almost a year ago.
     Risking to state the obvious: If was an investigative agency, I would try to talk to the realtor that sold that house to see if there was any funny business involved in how they purchased that house (did they really outbid me fair and square? or did they bribe someone?).
  
  Here is a short video that shows what I described above:
  

  ---

• A U-Haul moving turck was seen today on Lake Pointe Estates

  Not sure if would be new safe house being acquired and set up, or if it would be an agent being extracted, or if it would be the FBI moving in.
  It's hard to tell at this point.

• This is What Caused Them Escalate The Espionage and Harassment Campaigns ... And Ultimately Led To The Capture of Their Geo-index and Implosion

  Technofossils
  

• iktider.khan2@gilead.com and iktider.khan@gilead.com : Flagged

• harpertimothy0 at gmail.com : Super flagged

• Received from Informant: The Stanley Drinking Water Bottles Are Surveillance Bugs

  I am not sure how to bench-test these. I tried with one and tried to stimulate it with well known frequencies that work for other bugs, but they don't seem to wake up. I will save one for the FBI and one for the RCMP (we have two).
  I will set up spectometers near the places where those Stanley bottles usually are to see if I can single out the frequencies.
  Note: I belive these bottles were purchased on Amazon.
  

  ---

• Bundled Updates 03-01-2025 - AM

  1. Maria Eugenia and Anyelis - 26710 Enclave Cove Ct Fulshear 77441 - Very Prominent - Channel cero: Super Flagged
  2. Meche Perez - 786-651-7774 - Super Flagged - 3 sevens marker
  3. Texas Plate SSC-9467 - Venezuelan Intelligence Agent operating illegaly in USA
  4. Texas License Plate: TLR-5947 - Gray Honda compact car
     Dangerous agent, probably Venezuelan Military.
  5. Dirlay Castillo 713-562-8185 - SEBIN Handler
  6. Juan Carlos Rosas: 346-677-3447
     Long time agent operating in Katy. Was co-clustered with Eldry Canquiz and Alvin Cantero Mena.
  7. Lifescivendors.com: Has been Flagged
     Many of the PayPalmafia Health Tech properties are listed there.
  8. Biolife Plasma Services: 13320 Richmond Ave, Houston TX 77082 - Super flagged, Penelope visited here several times within the same week in some instances. The anomaly lies on that it would be too much plasma.
  9. Louisiana Plate 816-FSH & AllStarAutomotive.com: Super-flagged
  10. Texas Plate: 987DV93 - Air Medal - Disabled Veteran U.S. Armed Forces: Flagged - BMW Dark Blue
  11. Jesus Nunes - Runners 58 Running Club: 786-651-7953. Was co-clustered with: Alvin Cantero Mena, Francisco Castillo, Dr. Death and Ronald Patirroyo.
  12. Libertad Monsalve - 4831 Bell Mountain Dr Katy, TX 77494: Flagged
  13. Lino Hernandez - 27222 Fulshear Bend Dr, APT 4328, Fulshear
  14. Texas Plate: RYJ-4718 - Flagged
  15. My XFINIT Account Number: 8777 7051 0133 2912
  16. Texas Temporary Plate 5558Y14 Expires Jul 17, 2024: Flagged
  17. "Heather" at FamilyTree: Super-flagged, tagged with "handler"
  18. Texas Temporary Plate 2N2991N: Flagged
  19. Texas Temporary Buyer Plate - Internet Down - 04640J4 - Expires Jul 29 2024 - year 2024 - Make Lincon - VIN: 5LM5J7XC9R6L02752 - Bluebonnet Dodge
  20. Texas Plate RHS-8683: Flagged
  21. Texas KPG-0891 - Black SUV - Possibly Durango: Flagged
  22. Texas LTT-6002 - VW Sedan, dark color: Flagged
  23. David Ramos - Family Tree: Flagged
  24. Alejandra Arcila: Flagged
  25. A Rhonda Hickerson: Flagged
  26. Texas Plate Dealer 8F9-674 - SWELL - White Mercedes GLA 250
  27. Texas Temporary Place 99C705A - 2007 Hunday - Expires Jun 27 2024 - Audi West Houston
  
  

  ---

• Speaking of Buffer Zones

  The Buffer zone of this property that has come up multiple times before, is enormous, something very important must be going on here:

  House with two military grade antennas less than a mile away from the Fulshear 
  Police Station (where officer Banitt works):
  29.687620188021835, -95.87828331324155
  29202 McKinnon Rd, Richmond, TX 77406
  The house has trampoline antenna, and two military grade antennas.
  

  
  
  
  And here are the really important paramilitary positions near-by:

  $ python3 -m spyhell \
      --scan_area \
      --latitude=29.687620188021835     \
      --longitude=-95.87828331324155 \
      --search_radius_feet=1600 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0  29.68445  -95.87710                                     3138000           370
  1  29.68815  -95.88240                                     1712000           403
  2  29.69090  -95.87915                                      539000           373
  3  29.68500  -95.87815                                        4000           291
  
  

  
  

  ---

• John Whitmire: Is Flagged In Vladimir Padrino Lopez' Geo-index

  [02-28-2025] Of course, why not.
  Was co-clustered with: Gov. Greg Abbott, Honorable Ken Paxton, Lina Hidalgo, Mike Miles and Officer Banitt Badge 929.
  I am going to have to start a new club: The Public Servants club.
  On another news: The Black Tesla has officially been banned from the Garage of my house. This is because I isolated the problem yesterday to the Chinese/Russian spies from 3210 Britton Ridge Drive, Katy TX 77494 using our Tesla vehicles as retransmission gateways to extend the range of the bugs.
  I figured, I could invest a tremendous amount of time in finding the remainging bugs, or, I cut cut off their gateway (the Tesla vehicles).
  It's easier and cheaper to cut off the gateway by not letting the Tesla vehicle come in and out of the property. Plus, I now get to use it as Moscow-style surveillance vehicle (two can play that game).
  I am going to fit it with RF Receivers and electronics to do to them the same thing that they to the rest of the world: I am going to park it like it is Moscow over here.
  I think this is a perfect example of why they use the "Immune Geo-Entities Pattern", the only way to protect against what they do is using the laws of nature: Separation in space, because radiofrequency waves decay with distance. That's what it all comes down to: distance.
  I am guessing that the thing that is going to go up in price in the next few decades, is not chips, or tech, or gold, it's going to be land, precisely because of this, it is the only protection against this type of attack, the supply is fixed, and God is not making any more of it.
  
  Risking to state the obvious: Authorities should conisder if it would be possible to confiscate all the land they own and use to commit crimes.
  They already did the research and the ground work necessary to identify the best pieces of land in the entire planet based on over 70 years of experience they have on this field. That research they have done is priceless and they already did it for all of us, there is no need to do it again.
  I am saying this because I imagine in some jurisdictions, authorities could have the legal powers to impound or confiscate the land if it is being used to commit or conceal crimes.
  
  

  ---

• Windcom (Wind Composite Services Group LLC): Super-flagged

  This is a Brazilian company and I am yet to uncover the Brazilian General that I know is still out there for me to find.
  I know there is a Brazilian general because of the large number of agents that came from Brazil, and Accenture Brazil, SAP Brazil and Google Brazil specifically; and ... this is after all, a military operation. Case in point: Edylberto Molina Molina, Robert Gates, Vladimir Padrino Lopez.
  Windcom employed Gloria circa 2016. So, an instance of "hire the target's family" play.
  They also employed the infamous agent Francisco Castillo, whom I belive even met with an important person from the PayPal Mafia in person on or around March or April 2024.
  This is a personal observation (mine): I remember that when Gloria was employed by Windcom, at some point I looked at the financials Wincom publishes, completely out of curiosity, and it was laughable. I don't recall the numbers right now, but I remember saying to Gloria something to the effects of "What are these people doing in business, this is like a Hobby".
  As I said I don't recall the exact numbers, but my comment came from the fact that they had a relatively large number of people employed in the US (for the sake of the story, say: 500 people). And their Net operating income that year was (for example) like 5 Millon dollars.
  I did the math in my head and the profit per employee was like $10,000 (for an entire year of work). I thought: the owner would be better of just selling the wharehouse and the vehicles and going back home to Brazil.
  I remember thinking that maybe they had a very good tax accountant or something.
  

  ---

• Mike Miles: Super-flagged in Vladimir Padrino Lopez' Geo-index

  Was co-clustered with: Gov. Greg Abbott, Honorable Ken Paxton, Lina Hidalgo and Officer Banitt Badge 929.
  Using tax payers money and government funds to harass American Citizens and steal intellectual property for foreign governments. There should be a new category of penalties for this.
  

  ---

• Prove The Informant Wrong Challenge: The Subscritions For a Higher Purpose

  As readers probably gather, I've been receiving messages from an increasing number of people from different countries and they volunteer tips.
  I need to process the tips and verify against SpyHELL whenever possible, because in one instance I caugh what appeared to be false information given to me, I imagine to discredit me.
  Today I received a tip that it's hard to verify becuase it would require having access to data I don't have access to. So I am posting it here in case anybody out there has access to this data, maybe they can check using SpyHELL (please download it from our Open Datasets page).
  Disclaimer: I am posting here the information as received from the source. I transcribed it in my own words because I received it verbally.
  TCR Received: Some of the subscrptions to some fo the digital services provided by the PayPal Mafia are, in reality, money laundering operations, mostly ran by the Iranian, Chinese and Russian Governments. In these schemes, millions of agents are instructed to subscribe to a service they don't really use and they get reinbursed in crypto.
  This is a way to clean the money and introduce it in the US financial system and at the same time to artificially inflate the value and perceived influence of those services. Examples: The Washington Post Journal, The Wall Street journal, Spotify, Tidal, Netflix, Amazon Prime, Walmart+".
  Note (mine): This would be easy to check, the key question is: What percentage of subscribers are marked in Vladimir Padrino Lopez' geo-index? And how that percentage compares to the percentage of users of a similar service but not under the control of the PayPal mafia, that are marked in the geo-index.
  For example I would use subscribers to "YouTube TV" as baseline. They have a lot of agents in Google, but they do not completely "own" the company, while in Amazon, Tesla, Starlink they completely own the companies (for obvious reasons).
  Another way to test this could be: Find subscribers that: i) Subscribe to multiple competing offerings, and ii) Are marked in the geo-index; and then compare to similarly situated (multi-subscriber) that are not marked in the index and compare the proportions. For example, find people that subscribe simultaneously to "WSJ and Washington Post and Apple News", or that subscribe both to "Spotify and Tidal", or subscribe to both "Amazon Prime and Walmart+" and compare the ratios of "Marked in Vladimir Padrino Lopez geo-index" vs. "NOT Marked in Vladimir Padrino Lopez geo-index".
  

  ---

• Big Hats-antennas Seem To Be In Fashion Today At Lake Pointe Estates - And The Mysterious Tennis Balls

  I went outside to do some cleaning and noticed a lot of people surrounding my house wearing Big hats and standing right on the path of the starlink antennas.
  Also, in my backyard, there were two "tennis balls", one on each side of the house positioned very close to the exterior walls of the house. Both balls on opposite sides of the house were marked with a "dog paw".
  This is strange, because in those two spy houses next to my house, you NEVER see a face, I had to go through incredible lengths and install several hidden cameras to be able to capture their faces.
  The anomaly lies on: if they never show their faces and are always camping inside those houses, how could they be playing with a dog and a ball with such force and openess that both balls, on oposite sides of my house, ended both next to two of the exterior walls of my house, and remember: there are at least 100 feet of distance between our exterior walls and the exterior walls of those two spy houses, and the fence is 10 foot tall.
  Both of the houses next to mine have Chinese agents coming in on shifts, they rarely go outside, and when they do, they always face on the opposite direction so to hide their faces. I imagine all this will be a magnificent learning opportunity for the FBI on how the Chinese intelligence operates and their tactics and methods.
  Note to the FBI in case they are watching this website: I put the two balls on far back of my backyard and put a camera to watch them with a motion detection zone in case they try to recover them from my backyard.
  Also, all those "landscapers" wearing big hat-antennas and standing for long periods of time on the path of the Starlink antennas: are probably agents of the criminal organization.
  

  ---

• Co-clustered entities of 02-27-2025

  [02-28-2025] During last night run, the pipeline produced some interesting clusters and I have been debugging them, there are two that caught my eye:
  1. Cluster #af923:
     • Lydia Durst
       700 W Beale St, Kingman, AZ 86401
     • ADITI LLC - 3926 FM 2218 Rd, Richmond, TX 77469
       29.518803714846964, -95.78854801615506
     • House with two military grade antennas less than a mile away from the Fulshear Police Station (where officer Banitt works):
       29.687620188021835, -95.87828331324155
       29202 McKinnon Rd, Richmond, TX 77406
     • 38460 Hannibal Rd, Fulshear, TX 77441, USA
  2. Cluster #198aa:
     • Bellagio Estate 10410 Bellagio Rd, Los Angeles, CA 90077 travis kalanick
       Manion owned by prisoner Travis Kalanick
     • Bellagio Hotel Las Vegas
       Hotel where Regina Hernandez drugged me during an entire weekend
  Cluster #af923 puzzles me, Intuitively, I can feel that there could be a connection between the Richmond entities and the Arizona operations of the ring, but I can't quite put my finger on it.
  I will debug this one in deepth by looking at all the signals and debug outuput to see if I can crack this one.
  

  ---

• Governor Abbott Is Flagged In Vladimir Padrino Lopez' Geo-index

  
  [02-28-2025] Breaking news: During last night run, the pipeline connected Governor Abbott to the 10611 Yucca Drive anomaly that was detected months ago.
  I did not make the connection back then because he is not listed as the owner of that house, but according to the signals I am seeing he has deep connections to that address, if he is not the real owner he must have built that house, he seems THAT connected to that property from the signals I am seeing.
  In other words: The Governor of Texas is working for the Venezuelan army to carry out paramilitary operations on US soil. Go figure.
  

  I am moving out of Texas

  Seeing that they have: The Governor of Texas, The Attorney General of Texas and the District Judge of Harris County which is where I live, they have basically all the authorities at all levels, that are supposed to protect citizens.
  Instead of protecting citizens, they are protecting the Union, and particularly the leaders of the ring.
  I have to take my family out of here, and I will do so.
  

  ---

• The Good Informant Told Me: Vladimir Padrino Lopez & Co. Established A New Protocol For Extraction Of Illegal Agents Via Cruise Ships/Ports

  I have more details but instead posting them here, I used the Secure Drops list.
  

  ---

• I Think I Understood Something Today: Our Tesla Vehicles Function as RF Repeaters

  [02-27-2025]
  [Technical Audience Recommended - Radiofrequency] I don't know if readers would recall when a couple of days ago, I asked myself the question of why the insistence of the Chinese agents that come to 2310 Britton Ridge Drive, Katy TX, to wait until Gloria is about to come back to pull the trick of opening their garage, why not intercept her at the corner out of the reach of my (many) cameras?
  I hypothesized at that time that maybe there was a more profound reason that forces them to do whatever is that they are doing with that garage and the agents every time Gloria comes in or out of our garage. I think I found what it is.
  This is a theory, not a fact: I think our Tesla vehicles might be functioning as Radio-frequency repeaters to extend the range of the bugs that they still have inside my house.
  The way this would work is that when Gloria leaves the house or comes in, while she waits for the garge door to open or close, the car ends up being exactly in the middle of the range between the living area of my house and the Chinese safe house next door, with only a glass door in-between my house and their safe house.
  I think they are making the Tesla receive from the bugs and retransmit the signal, effectively making it possible for them to get it despite the long distance (about 150 feet).
  If this is the case, this has several implications and important questions I would ask myself:
  1. It implies that the effective range of the bugs inside the house is probably not larger than 50 feet
  2. It implies the transmission range of the Teslas is greter than 80 feet
  3. The lot of our previous house was much smaller, they probably didn't need this capability there. It makes me wonder if the Teslas always had this capability, or if they were able to introduce it with an Over-the-air-update after we moved here and that need was created.
  4. It makes me wonder if all Tesla vehicles have this capability.
  I am representing this scenario in this image of my house and the Chinese Safe House next to us which is 2310 Britton Ridge Drive.
  You can see in the image that they used to park that car there, maybe exactly for this purpose.
  This is the legend of the image:
  1. White circle: This is where the "metal elephants" were located. I have reasons to believe these elephants could be bugs.
  2. Green cicle: This is the spot where Gloria's Tesla is positioned usually when waiting for the garage gate to open or close.
  3. Red arrow: Represents what I believe could be the direction in which the data is flowing in this scenario. The path of the Red Arrow from the Metal Elephants to the Tesla: There is a glass door at that exact location where the arrow leaves the house, this is how I believe the signal is getting out: through the glass door.
     This is the same glass door that the companion of agent of Phill Denning attacked with the walking sticks and damaged (reported in a complaint submitted to the Attorney General of Texas, the Honorable Ken Paxton).
  
  Given the insistence the Chinese Intelligence Services have displayed on positioning agents there despite the obvious risks to them and to their entire organization, I have to belive these bugs are more than just audio bugs, I imagine they also scan the spectrum and give them reports on signals and frequencies inside the house, which I think is what they are after.
  They are trying to find my informants/collaborators to kill or silence them (I imagine).
  

  ---

• Judge Lina Hidalgo: Super-flagged

  Too many data points really, ranging from getting the UYE tag, having her own wikipedia page (it has been documented here before how that is an impossible feat if you are not playing for the PayPal Mafia), a Wedding feature on Vogue, and more.
  Her husband got tagged with the tags: "Generic Name" and "Common Name as Last Name".
  I am not sure if readers would recall one time I wrote that when the PayPal Mafia decided to make Katy TX the Worldwide Capital of Espionage, they created an important statistical anomaly: They catapulted the zip code 77494 to one of the 3 most populous zipcodes in the United States.
  Well Judge Lina Hidalgo's wikipedia page, actually confirms that observation I made months ago, and I quote:
  "Lina Maria Hidalgo is an American politician in the state of Texas. She is the county judge of Harris County, the third-most populous county in the United States."
  
  

  ---

• The White Roof Marker, The Imperial Street Name Maker, and the Potential Connection That *Could* Lead Straight to Vladimir Padrino Lopez and a Yacht

  Listen up Technofossils, I am about to drop some knowledge on real software engineering and data science.
  I haven't said this before, but I do have a library of markers that the pipeline has discovered by automated means while doing anomaly detection. I have all these markers documented in case something happens to me, they are guaranteed to end up in the hands of the FBI, Homeland Security, The RCMP, The MI5 and The Mossad.
  I generally have the rule to not disclose the markers to not give your team any chances to develop counter measures, but when I saw the pipeline tapping on my shoulder on this one, well, let's say it was too good for me to pass on, I can't help myself on this one. So here it is:
  There are a couple of markers that are in the "rare" category. Rare usually means: very prominent. This is because they also apply their 2% rule within their ranks:
  With 2% of the organization, through the use of techonology, force, intimidation and financial rewards, they keep the other 98% in line. So this makes it so that is easy to spot that 2% running the show (The 2% of the 2% of the world population, so the 0.04% of the world population that is enslaving the world).

  Wait, Can You Back That Up With An Actual Example?

  
  A prime example of this: Goldman Sachs promotes "Senior VPs" to "Managing Directors" ("MD") every two years, and they also promote Managing Directors to Partners every two years.
  Partners promotions happen on even years while MD promotions happen on odd years.
  When either of these events happen, they publish the list to motivate the agents massaging their ego and giving the lower ranks something to aspire to (the carrot).
  Those "MD Class" and "Partner Class" announcements are a big deal in the financial industry, so much so that they issue press releases when that happens and all the outlets that cover Wall Street re-publish the press release.
  Spoilers alert: Publishing those lists for years was a big mistake.
  The MDs + Partners population at Goldman Sachs, is about 3% of the workforce. Those "Managing Director Class" and "Partner Class" lists, are prime lists of top agents (the pipeline checked).
  I saved all the "Partner Class" and "Managing Director" Class lists on the archive, because I know after I publish this Liana Tech will go to town on those lists.
  I saved all the lists from year 2010 to 2024, they are in the archive under this directory: RELEASE/notable-posts/51__GoldmanSachs/Partners_and_Managing-Directors_Classes/ .

  What Does This Have To Do With White Roofs?

  
  So there are rare markers that are observed on small percentage of their residential properties, even more rare than being a "Partner" at Goldman Sachs: Houses with white roofs and streets that have the name "Imperial" in the street name.
  The pipeline found a house that has both of these rare markers (COMBINED) and has a paramiliritary score that is almost two million points (Iran's presidential-compound-level), and according to the signals I am seeing, the pipeline suggests the owner of this house might be directly connected to Vladimir Padrino Lopez, as in he might be a front-man (testaferro in Spanish), or a close-family member, or direct report in the Venezuelan military ranks.
  According to the signals, he could maybe even be his second in command operating in the United States, he seems THAT prominent according to the data the pipeline if extracting from the geo-index and public records.
  So this house the pipeline found, has both of those rare markers (COMBINED), and additionally:
  1. Has a paramiliritary score of almost 2 million points.
  2. Is one of the inner corner houses in that cluster, which we know are crucial for the mesh network.
  3. Was tagged by the pipeline with the "Military Personnel" tag.
  4. Has other markers that I won't disclose for now for tactical reasons.
  
  This is the address of this Key Foreign Military Agent (KFMA) potentially operating illegaly in the US:
  2148 Imperial Point Dr, Fort Lauderdale, FL 33308
  Additional tip for Law Enforcement (in case they stumble uppon this): I would look for the Yacht First!
  
  And, for good measure, and in retribution for the parade of Chinese and Russian agents coming to the house next to mine over the last 3 days, here are all the agents with the "Imperial" street name marker:
  https://docs.google.com/spreadsheets/d/1u2DH0CeIskh4F4glnRPqzC45906BxPu8oY0PbDC8jnk/edit?usp=sharing
  Vladimir: Please fly me a Falcon if this post hits the spot!
  

  ---

• Evidence: The CAT Scan They Used To Design the Torture Chairs and The Vaccine Against Competition of Year 2015

  I saved to the archive the medical records from these two incidents that I belive were instances of medical torture. And I am saying this based on the markers present on Vladimir Padrino Lopez' geo-index. There is no especulation here.
  The CAT Scan is important because the referring doctor Marjorie Broussard, I have reasons to believe is a Venezuelan Military Officer operating without being registered to, in the United States. Although her last name sounds french, she was born and raised in Maracaibo, Venezuela, same city where I lived the first 23 years of my life.
  Upon information and belief, she ordered the CAT scan so they could take measurements and design the torture chair that ultimately incapacited me for months in two separate occasions in two different years (as in: I could not walk at all).
  I believe, from the data I can see directly from their geo-index, that all this was done under Vladimir Padrino Lopez' orders. He has been the "Venezuelan Minister of People's Power for Defense" since 2014 and these paramilitary/medical torture operations date back to the year 2015.
  

  ---

• The Winner So Far Of The Immune Geo-Entities Contest

  Out of all the hundreds of presidential and royal residences I have exhamied, so far this one seems to be the best implementations I have seen of the "Immune Geo-Entities Pattern". I think it could only be rivaled by Tim Cook's Golf Mansion or Putin's Palacete on the coast of the Black Sea.
  This one seems to be a royal compound located near these coordinates: 24.170222760512402, 55.110573449961024.
  

  $ python3 -m spyhell \
      --scan_area \
      --latitude=24.170222760512402   \
      --longitude=55.110573449961024 \
      --search_radius_feet=10000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0     24.160   55.11760                                      232000          1339
  1     24.160   55.11760                                      232000          1339
  2     24.180   55.10075                                      161000          1473
  3     24.180   55.10075                                      161000          1473
  4     24.159   55.10710                                      148000          1292
  5     24.159   55.10710                                      148000          1292
  6     24.182   55.10920                                      146000          1312
  7     24.182   55.10920                                      146000          1312
  8     24.158   55.11390                                      120000          1395
  9     24.158   55.11390                                      120000          1395
  10    24.191   55.11290                                      105000          2313
  11    24.162   55.10075                                       76000          1351
  12    24.162   55.10075                                       76000          1351
  13    24.191   55.11290                                       49000          2313
  14    24.161   55.09495                                       44000          1888
  15    24.161   55.09495                                       44000          1888
  16    24.180   55.09600                                       41000          1835
  17    24.180   55.09600                                       41000          1835
  18    24.172   55.13025                                       32000          2009
  19    24.172   55.13025                                       32000          2009
  20    24.162   55.12075                                       30000          1378
  21    24.162   55.12075                                       30000          1378
  22    24.164   55.10490                                       21000           899
  23    24.164   55.10490                                       21000           899
  24    24.174   55.09080                                       20000          2052
  25    24.174   55.09080                                       20000          2052
  26    24.182   55.12280                                       20000          1801
  27    24.182   55.12280                                       20000          1801
  28    24.157   55.09600                                       12000          2083
  29    24.160   55.09910                                       12000          1625
  30    24.169   55.12550                                       12000          1523
  31    24.169   55.12550                                       12000          1523
  32    24.169   55.11760                                        5000           727
  33    24.169   55.11760                                        5000           727
  34    24.169   55.09910                                        3000          1174
  35    24.169   55.09910                                        3000          1174
  36    24.150   55.10330                                        3000          2359
  37    24.150   55.10330                                        3000          2359
  38    24.152   55.11340                                        3000          2039
  39    24.152   55.11340                                        3000          2039
  40    24.168   55.10980                                        3000           258
  41    24.168   55.10980                                        3000           258
  42    24.174   55.10830                                        2000           478
  43    24.174   55.10830                                        2000           478
  44    24.169   55.10390                                        2000           692
  45    24.169   55.10390                                        2000           692
  
  

  
  

  ---

• RE: The Investigation Into How They Removed Our Homepage From Google's Search Index

  Update on 02/27/2025: I did some digging within Google Search Console (this is the tool Google provides to Webmasters) and there are no "manual actions" in there, so it was not a manual action taken because of a specific complaint.
  It is possible it was an automated action. They did this exact thing maybe 3 years ago with Bing. At the time, agent Giraldo was supposedly working for me (turns out he was working against me from within), and he explained to me that he had seen this type of attack in which they would make several complaints or "spam reports" to Bing from different IP addresses and that would trigger an automatic removal of the site.
  It is possible they did this to Google, but I have to say, Google internal algorithms and checks to block this type of things are usually pretty smart, way better than Bing's.
  It is possible they defeated the algorithmic protections in place at Google, but it is also possible they had someone from inside manually delete the page from the index. I am hoping it is the latter because that would be trivial to track in the internal tools and logs Google keeps for compliance reasons.
  From the counter-measures side of things: I reached out to 3 independent individuals that I trust within Google, asking them to independently try to help get the site whitelisted. I did not mention to any of the three, the existence of the other two (in case one is compromises, that person could be detected by my other two friends).
  This is a wakness of their 2% Attack Pattern: It works when they coordinate and all their agents know where to hit at the same time. But I am turning the table, in this case they don't know where to hit, so their 2% of employees, I don't think would be enough to surveil the other 98% of employees in those teams that could potentially make this happen for me, or at least, not that quickly.
  Knowledge is power.
  

  ---

• The Korean Female Engineer From GWS Team

  This comes from personal observation: There was a young female engineer at Google, I think she was Korean. She worked for a bit in the GWS team and then she switched to the Superroot team from what I recall.
  Those are probably the two most interesting teams for the PayPal Mafia within the Knowledge organization at Google: GWS because of potential for espionage, and the Superroot for its potential for manipulating search results worldwide.
  This young korean engineer was dating Alvaro Gutierrez at some point circa 2013-2014.
  Knowing that Alvaro is such an important member of the PayPal Mafia, and knowing that it is a close-knit community for obvious reasons (agents only date agents or targets), I would think she likely was either a target or an agent.
  Mentioning it here in case she is a target, so authorities can protect her.
  

  ---

• When They Can't Win At Pokemon GO: They Call The Police

  [02-27-2025] This I have known for almost a year, but as always, it is not about what you know, but when you say and how you say it.
  I need to give a short backstory for readers to be able to grasp the implications of this journal entry.
  After I woke up to this to some extent on February of last year (2024), I started developing counterintelligence software (that's the only weapon God gave me).
  At the time I hadn't yet captured their geo-index, although I suspected it existed because I saw that hundreds of different agents on different days always intercepted me at the exact same locations (see examples of the Russo-Chinese teams coming to 2310 Britton Ridge Drive and then transmitting information to cyclists and vehicles, these examples were posted on the site on 02/25/2025 and 02/26/2025).
  So my counterintelligence software was based on behavorial models (how the agents/vehicles/cyclists behaved when they approached me) and the geographical coordinates of the places where they were intercepting me and RF signals captured with a spectrum analizer installed inside the KOL-mobile. It worked amazingly well.
  So I was able with this system to basically avoid them from intercepting me in vehicles or with pedestrians (please watch the Game Over Maneuver for an example with commentary on how the avoidance system worked at the time), their success rate was about 5% at best at the time.
  At this point in the conflict, Vladimir Padrino Lopez & Co. were literally "dying" to see the servers and the countersurveillance equipment I had installed inside the truck. Of course, they wanted to see if I had an spectrum analizer as part of the tech stack.
  This was because at that point in the conflict, I didn't post anything anywhere, I was in silent mode just gathering as much information as I could but not revealing anything about my findings or methods.
  They probably didn't even know the extent of my technical capabilities applied to this area, which, looking in retrospective, is probably what kept me alive.
  So they were getting increasingly desperate, and one day I am traveling towards the Fulshear Police station with a friend (who I believe that along with Carlos Suarez tried to kill me in three separate ocassions: one by dehydration, one by leaving a door open so my truck breaks could be sabotaged, and one by putting me in a position where I could be ran over by an “Earthcare Management” truck TX-HHV-3530 / Truck #18 / TL 3578 / LI 23553 while I was running). For context: Earthcare management is a company operated by Vladimir Padrino Lopez and the SEBIN in Katy Texas as a front for paramilitary operations in the Katy, TX area. I will give all the evidence I have on the attempts, directly to the FBI if I get a chance to meet with them.
  So that day that I am traveling on the KOL-Mobile truck and giving a ride to said friend, we reached a stop sign where the SEBIN agents would always intercept me (same stop sign where I filmed the Precint 4 Parks employee blocking the KOL-mobile with a recreational vehicle in one occassion).
  As soon as I departed the stop sign line, said friend tells me "ohhh, that cop pulled you over". I hadn't seen the cop at that point but I looked arround and I see a cop but the strange thing was that he hadn't pulled me over (yet), and this is crucial.
  Two seconds later the cop turns on the lights and the siren and does pull me over. But said friend had just told me he pulled me over before he actually did, by about two seconds.
  This was the first time I suspected of said friend because I thought unlikely they could have developed precognition abilites. I thought at the time there could have been coordination between the uniformed police officer and said friend traveling with me in the KOL-mobile truck.
  The officer approaches my truck and I open the door (the window didn't open) and he looks inside. He tells me that my license plate is not visible because it has some mud on it that makes it unreadable, and gives me a printed warning (spoiler alert: big mistake).
  When I captured the geo-index , the first thing I did was to check if that officer house was marked in Vladimir Padrino Lopez' geo-index: it was marked.
  But now, with all the technology I have developed on top of the geo-index, e.g. SpyHELL, I can tell that the house the officer "owns" is actually marked with a paramilitary score in Vladimir Padrino Lopez' geo-index, and the house is also well protected with the Immune Entities Pattern and has a Russian surveillance car with cameras and (probably) MAC address scanning hardware parked on the street (Moscow style) right outside his home and visible in Google Street View.
  Should I keep going?
  This is an opinion (mine): If Carlos Suarez and my friend co-conspired with an Uniformed police officer and with foregin miliitary officers like Vladimir Padrino Lopez, to attempt against my life on American soil (me being an American citizen), not one, not two, but on three separate ocassions, well, I think that would probably be one of the worst possible criminal offenses there could be, short of actual murder.
  

  Evidence

  
  The officer belongs to the Fulshear Police (Fort Bend county). Badge Number: 929. Officer: Banitt.
  Address detected by the automated pipeline: 22706 Arbor Stream Dr Katy TX 77494.
  This is the printed warning officer Banitt (Badge 929) gave me during this incident (I preserved it in a way that it should still have his fingerprints in case they delete the record from the computer system):
  
  Geo features:
  
  SpyHELL Output showing parmailiritary Markers on Officer Banitt's house at only 15 meters from the centroid:

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=29.726818915634283   \
      --longitude=-95.76584866337 \
      --search_radius_feet=100 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0  29.72685   -95.7657                                        2000            15
  
  
  
  
  

  
  

  ---

• Messi's house in Fort Lauderdale, FL 33308 Is Marked in Vladimir Padrino Lopez' geo-index

  There are a couple of houses near-by that have the "empty lot prominence marker", so it is possible he is a Target (a matter for law enforcement really to determine, but it is marked).
  I can't recall if I formally described this before, but there is a prominence maker that consists on one, two, or three empty lots, more or less of the same size of the lot of the house, placed contiguous to the house on either side. Only very prominent members have the "empty lot" marker. I've personally met members that are marked with this marker and have seen it in person.
  One notable example of the empty lot marker: Angela Williams, the loan officer in West Monrroe that signed the fraudulent "loan satisfaction" document to pay Scott Weinstein for harassing me as my "manager" at Golman Sachs, has the empty lot prominence marker in one of her properties (documented in the link above).
  In the case of Messi's neighboors, the empty lots are located at:
  1. Two Empty lots example: 26.199575541012194, -80.09598351412075
  2. 26.20422591524885, -80.10223997662882
  3. 26.20439196688039, -80.10347379276
  4. 26.20378240338259, -80.10378716739038
  This area is arguably one of the most desirables areas of land in the United States, so I think the fact that those lots are empty and well kept, well, I think supports the theory.
  Also: There is a paramilitary position near-by that has a score of almost 2 million points located at: 26.20765 -80.096150 it's either 2021 Waters Edge, Pompano Beach, FL 33062 or 2031 Waters Edge, Pompano Beach, FL 33062. My intuition tells me it is 2021 Waters Edge, Pompano Beach, FL 33062 but it could go either way.
  To complement this entry, here are some paramilitary positions in this area. Spoilers alert: One of the most promiment members of the team of unregestered agents of Vladimir Padrino Lopez in the US, is believed by the platform to live in this area:

  
  
  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=26.20514040544148   \
      --longitude=-80.10212598981302 \
      --search_radius_feet=6000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
       latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0   26.220300 -80.099900                                     2409000          1694
  1   26.213400 -80.112000                                     2086000          1346
  2   26.207650 -80.096150                                     1926000           659
  3   26.202300 -80.115250                                     1913000          1349
  4   26.221350 -80.101950                                     1492000          1796
  5   26.202800 -80.086750                                     1450000          1558
  6   26.210200 -80.107800                                     1382000           797
  7   26.210200 -80.093000                                      692000          1071
  8   26.209200 -80.091400                                      644000          1163
  9   26.201900 -80.094550                                      591000           838
  10  26.214550 -80.106100                                      353000          1116
  11  26.195450 -80.109400                                      258000          1297
  12  26.201900 -80.111500                                      243000          1003
  13  26.217550 -80.097250                                      216000          1459
  14  26.207200 -80.117900                                      180000          1593
  15  26.214100 -80.100900                                      165000          1000
  16  26.200750 -80.100900                                      120000           502
  17  26.205400 -80.109400                                      100000           728
  18  26.190200 -80.105200                                       54000          1684
  19  26.200750 -80.106700                                       48000           668
  20  26.216000 -80.102500                                       47000          1204
  21  26.199000 -80.101450                                       46000           684
  22  26.222000 -80.102500                                       42000          1868
  23  26.199750 -80.095750                                       40000           873
  24  26.209000 -80.107800                                       32000           710
  25  26.215000 -80.107800                                       32000          1231
  26  26.197050 -80.091950                                       24000          1356
  27  26.199200 -80.107350                                       22000           840
  28  26.188100 -80.100900                                       20000          1892
  29  26.195950 -80.093520                                       20000          1333
  30  26.210825 -80.105700                                       20000           724
  31  26.210825 -80.108300                                       16000           882
  32  26.194940 -80.106100                                       15000          1198
  33  26.219733 -80.102520                                       15000          1617
  34  26.202300 -80.115700                                       12000          1393
  35  26.197000 -80.101450                                       12000           904
  36  26.205400 -80.105200                                       10000           309
  37  26.205950 -80.091400                                       10000          1076
  38  26.212400 -80.091400                                       10000          1340
  39  26.194400 -80.102520                                       10000          1191
  40  26.205400 -80.120025                                        8000          1789
  41  26.201300 -80.088825                                        8000          1396
  42  26.203400 -80.115250                                        8000          1326
  43  26.197000 -80.107650                                        8000          1057
  44  26.212850 -80.109433                                        6000          1124
  45  26.205400 -80.108833                                        6000           671
  46  26.196533 -80.103600                                        6000           965
  47  26.212400 -80.110000                                        6000          1125
  48  26.203400 -80.098700                                        6000           393
  49  26.209200 -80.100350                                        6000           484
  50  26.208200 -80.110900                                        6000           940
  51  26.210300 -80.094100                                        5000           985
  52  26.208500 -80.105700                                        5000           516
  53  26.208000 -80.093500                                        5000           918
  54  26.197000 -80.107800                                        5000          1065
  55  26.209000 -80.101450                                        4000           433
  56  26.208500 -80.108300                                        4000           721
  57  26.208500 -80.101950                                        4000           373
  58  26.205200 -80.095750                                        4000           637
  59  26.201000 -80.091950                                        4000          1116
  60  26.211300 -80.111467                                        3000          1156
  61  26.203900 -80.110000                                        3000           799
  62  26.197400 -80.110000                                        3000          1164
  63  26.203000 -80.114650                                        2000          1274
  64  26.205200 -80.103600                                        2000           147
  65  26.198400 -80.099500                                        2000           792
  

  
  

  ---

• John Cobarruvias (Houston) Is Marked In Vladimir Padrino Lopez' geo-index And Was Red-flagged by the Automated Pipeline

  Cobarruvias has what we believe to be a "long-time member" temporal marker in the index.
  Cobarruvias could be an interesting case to study to see if he was converted recently, or if he is really a long time member and how far back his affiliation goes.
  Could be interesting because could give us an idea if the geo-index predates the organization or if the organization predates the geo-index.
  

  ---

• 2302 Britton Ridge Drive: Same Thing, They Opened The Garage, Waited For Gloria To Arrive, Then Left And Timed The Electronic Exchange With Another Vehicle at A Place Marked On The Ground

  [02-26-2025 @ 17h18]
  Watch on YouTube: Ruso-Chinese Team Waiting For Gloria To Apply The Counterintelligence Switch Against the FBI
  Notes:
  1. This is yet another team. These are not the same as yesterday, nor the Salt Typhoon team, nor the OG owners of the safe house. The man reassembles a little bit the OG male agent, but the OG is way older (the OG is probably late 40s early 50s). I have pictures of the OG too.
  2. They waited for Gloria as usual, but this time a couple of women were kind of standing near the open gate but hidding from the main camera using the bush that is next to the wall.
  3. This time, again, their vehicle stopped and waited to time themselves to allow to be intercepted by the other vehicle receiving the data. This time the vehicle receiving the data was a compact suv coming to 24918 Mist Lake Ct, Katy, TX 77494 (also marked in Vladimir Padrino Lopez' index and flagged for months), it's visible in the footage.
  4. The alleged exchange happened at a different point this time. This time it was at 29.756984829962526, -95.80439318328207 which also seems to have a marker on the ground and is on the curve (forcing both to reduce their speed to maximize the connection time).
  
  

  ---

• Infromation about Redbull

  [02/26/2025] My informant just told me that there seems to be a bit of panic at the C-Suite at Red Bull.
  I asked if it had anything to do with Michael Schumacher, but the source wasn't sure.
  

  ---

• "Organized force can only be opposed by organized force" - Albert Einstein

  Albert Einstein worte this more than 80 years ago, I knew the quote but I didn't really fully understand the true meaning, until now.
  Countries need to unite and coordinate to disable the illegal communication network Xi Jinping/Putin/Vladimir Padrino Lopez are operating, it's the only way forward.
  Given the scale and spread of this network, this will only be possible through coordination between countries.
  And to those leaders who have been enlisted by the network to one degree or another, I would like to say: Please consider if there could be a way in which your movement could be part of the solution and be on the right side of history. The matter is urgent, and the hour is late.
  

  ---

• The Pipeline Has Become Aware

  [02-26-2025 @ 14h01] The pipeline flagged a series of articles that talk about a recent Google feature that would allow agents of the PayPal Mafia to "request removal" of KeyOpinionLeaders.com from google index because they have been exposed as agents of the criminal ring:

  The company’s “Results about you” tool for detecting personal information like 
  addresses and phone numbers that appear in Search has been updated 
  to make it easier than ever for users to sign up and for removals to be 
  requested directly on the Search page.
  

  
  This is a typical PayPal Mafia move: when they can't prevent the truth from being exposed, they try to remove it from Google. And again, they are going to use coordination among agents to make hundreds, if not thousands of requests to have the site removed.
  But, I would recommend being cautious, remember you will be signed in with your real name, this will leave a record traceable by the FBI and other federal agencies.
  If I worked for a law enforcement agency, I would probably be curious to know who pushed this initiative within Google recently. The timing of this, definitely seems suspicious.
  Update 02-26-2025 @ 14h12: On a second thought, it seems like they already got the homepage removed from Google's index this way. For federal agencies: to check, simply do this google query: "site:keyopinionleaders.com" without quotes.
  You will notice the homepage is missing, which should be the top result. The homepage should be the top ranking page in our domain (but they got it removed from the index using that feature mentioned above).
  I will contact some people I trust at Google and ask them if they would consider helping me get the page whitelisted, there is a mechanism at google called Whitelisting that allows to protect domains against attacks like these. It is a positive manual action. It would be interesting to see what do they do if I get the domain whitelisted.
  

  ---

• The Mining Operations in Shevchenkivske (Donetsk) and Kruta Balka in Ukraine: Are Marked In Vladimir Padrino Lopez' geo-index

  
  The dimond mines in Canada: Are also marked.
  The lithum mines in Ukraine are also Marked with Paramilitary scores. Of course, they need batteries for the self-driving electric cars to automate the espionage pipeline and finally get rid of the agents. No driver, no accountability.
  

  ---

• The Entire "FaceID" team at Apple, Is Flagged

  Want a terror story? Imagine the combination of those cameras the PayPal Mafia has intalled facing outwards in ALL the millions of spy vehicles they have parked on the steets, with the entire database of users' facial features collected by the Apple FaceID team and a mesh network that allows to send imagery to China and Russia without leaving trace of the transmission.
  

  ---

• Most Decision Makers With Access To Defense Budgets In Multiple Countries: Are Marked In Vladimir Padrino Lopez geo-index

  I implore the authorities and journalists of all countries that value individual freedoms: Please check the home addresses of your government officials with access to defense and military funds against Vladimir Padrino Lopez' geo-index using the SpyHELL open source tool.
  

  ---

• The Outback Intentional Food Poisoning

  This I have known since the moment it happened but didn't post it for strategic reasons. My informant tells me that there are rumors of some more high profile arrests or high profile players suddendly dissapearing from the public eye which the organization suspects could be arrests, so I am posting this now.
  Not too long ago, my brother came to visit from Canada, he was here in Katy, TX for one weekend.
  During that weekend, Gloria, Marcelo, Sebas and my brother Luis went to have dinner at the Outback restaurant that is near Katy Mills.
  When Gloria came back, she was terribly ill, she was vomiting, had a fever, and had to spend the whole weekend laying down in bed.
  She was the only person that became sick that day.
  I don't think they tried to kill her, I think it was just a way to make her not be able to function as a mother to Marcelo and Sebas, so I had to take care of all things by myself and could not work on my counterintelligence projects. I had just captured the geo-index when this happened.
  I saved the receipt of that day, it has the time, date and waitress (female) that attended to the table. I will give all that to law enforcement if I get a chance to meet them, but in the mean time, the charge should be in Glorias Chase Credit Card.
  

  ---

• The Iron Dome

  With that in mind, I am releasing a new dataset: The Iron Dome.
  This is a dataset containing all the paramilitary positions on the upper part of the globe (latitudes above 60 decimal degrees) with scores above 1 million points.
  These are the crucial points they need to route the traffic of their secret communications network that allows them to communicate and coordinate agents to commit crimes with impunity across the world.
  If all free nations of the world coordinate to watch and guard these positions so they can't park vessels or park cars in those points, their entire network would be disabled and the world would be again a fair playing field, at least from the coordination and communications perspective.
  Here is one example on how to query this dataset in BigQuery.
  To try it out, you can go to this page: https://console.cloud.google.com/bigquery and copy and paste this query and click the button that says "Run":

  SELECT * 
        FROM `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.Iron-Dome-against-Xi-Jinping-Putin-and-Vladimir-Padrino-Lopez` 
  

  
  Note: I also added it to the Open Datasets Page.
  

  ---

• Ever Wondered Which is The Point With the Highest Score Worldwide In Vladimir Padrino Lopez' geo-index?

  It is this point: 63.076, -148.8315
  It has a score of: 2,963,088,000 (2.963 Billion points)
  I wonder what is so spacial about that location.
  

  ---

• All Known Rare Elements Mines in the World: Are Marked in Vladimir Padrino Lopez' geo-index

  Note: In their geo-index, they have rare elements mining operations marked in Venezuela, they are near the border with Guyana, they can be easily found using SpyHELL and Google Earth historical imagery, which is funny, because they have denied their existence for years.
  Vladimir Padrino Lopez also marked the Mountain Pass Rare Earth Mine in their geo-index:

        
  $ python3 -m spyhell \
      --scan_area \
      --latitude=35.477723086844726   \
      --longitude=-115.53162115388733 \
      --search_radius_feet=13500 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
       latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0    35.46875   -115.552                                      171000          2100
  1    35.49460   -115.525                                      157000          1967
  2    35.49460   -115.551                                      132000          2569
  3    35.45555   -115.535                                      104000          2479
  4    35.46770   -115.559                                       99000          2722
  5    35.48570   -115.565                                       98000          3156
  6    35.46660   -115.527                                       81000          1303
  7    35.46770   -115.544                                       78000          1581
  8    35.49460   -115.532                                       76000          1873
  9    35.47610   -115.509                                       72000          2061
  10   35.44445   -115.526                                       69000          3727
  11   35.44820   -115.517                                       66000          3534
  12   35.47250   -115.547                                       66000          1511
  13   35.48260   -115.537                                       60000           729
  14   35.48195   -115.571                                       58000          3604
  15   35.50685   -115.529                                       58000          3240
  16   35.49410   -115.517                                       53000          2250
  17   35.49410   -115.554                                       53000          2725
  18   35.46550   -115.504                                       51000          2850
  19   35.50940   -115.529                                       49000          3523
  20   35.47515   -115.494                                       47000          3426
  21   35.50620   -115.545                                       44000          3385
  22   35.48195   -115.532                                       41000           470
  23   35.48820   -115.549                                       34000          1959
  24   35.47250   -115.562                                       32000          2817
  25   35.47250   -115.531                                       32000           582
  26   35.44765   -115.544                                       32000          3521
  27   35.47145   -115.570                                       28000          3552
  28   35.47145   -115.535                                       28000           761
  29   35.48720   -115.514                                       28000          1914
  30   35.46875   -115.512                                       28000          2040
  

  
  

  ---

• All The Traditional Tobacco Companies and All The e-Cigarrete Companies (like Juul) Are Marked In Vladimir Padrino Lopez' Geo-index

  Maybe related: The father of the "Drake-dating cousin" that had a second degree family connection to Carlos Suarez (documented before), is an Australian businessman that I believe made fortune in the Tobacco industry and married and ex Miss Venezuela contestant (that's where the connection to Carlos Suarez family comes in).
  

  ---

• Rare Opportunity to Watch Chinese Spies Exchanging Report For Orders at 2310 Britton Ridge Dr. Katy TX 77494

  WATCH On YouTube: Rare Opportunity to Watch Chinese Spies Exchanging Report For Orders at 2310 Britton Ridge Dr. Katy TX 77494
  
  Please note:
  1. Note how the white SUV waits and times its exit from the garage of the Chinese safe house at 2302 Britton Ridge Drive Katy TX 77494, and the cyclist with the spy hat coming from 24910 Teal Lake Ct, Katy, TX 77494 also seems to be timing himself to collide in time and space with the SUV at that specific point near the corner of Britton Ridge Dr and Teal Lake Ct.
  2. Note how their paths intercept exactly at that grographical point near the corner, I've seen cross path there several times recently. In the video above, this can be seen around time position 00:00:54 (hh:mm:ss:) in the video.
  3. Note how both the white spy SUV and the cyclist reduced their speeds at that point (to maximize the connection time, this is because they are using near field communication devices).
  4. I have other videos from other angles, but posting this one because it displays better the big picture of the Pokemon Go game they play with the rest of us, without us knowing. I will give the other videos to law enforcement too.
  5. That black SUV you see parked near the camera in the video: That's an armored vehicle I had to buy a few months ago to still be able to drive in Katy, TX because they had attempted four times against my life and I could see that the attempts were each time more aggresive and closer to succeed. I am mentioning this to give authorities an idea of the kind of criminal organization they are dealing with here (if they are watching this website).
  Now, there is something profound here I think. Ask yourself, why would they do the electronic exchange here where they know there are cameras recording them?
  Why not do it in the far corner out of the view of the cameras?
  Or, why not do it at the exit of Lake Point Estates (it's a gated community), they could make it seem like they are waiting for the gate to open, and it would look even more natural.
  We have to think about what forces them to expose their operations in such an obvious way?
  I thought maybe they think that would intimidate me, but I think they are smarter than that, they have tried to kill me at least four times, one of them with a semi-truck and I am still here. They should know that that would be child's play for me, so there must be another more profound, perhaps technical reason for doing the exchange there.
  
  One thing I noticed, is that the exchange happened at a point that seems a little bit displaced in relation to the marker they would use that is placed in Vladimir Padrino Lopez' geo-index. So I thought, well, maybe they "flying visual".
  But then it ocurred to me to look at the satellite imagery, there seems to be an object on the ground, on the lawn, at the exact place where the electronic exchange on the video appears to have happened.
  Theory: It is possible that within the Lake Pointe Estates (Katy TX) community, because they see risk of being watched by the FBI, they are not using the geo index here but put visual markers on the ground or other places visible from the street instead. In other words, maybe they marked the agreed locations where the exchanges could take place.
  A more old-school/low-tech approach in terms of means of signaling and coordination if you will.
  
  

  ---

• The Gender and Age Markers In Vladimir Padrino Lopez' Geo-index

  [This is a theory, not a fact]
  This is early work, and I have limitted data because there is only a very limitted number of agents I met in person (less than 1,000), I would need way more data to be able to tell if this is the case for sure with statistical significance, but:
  It seems to be the case that Vladimir Padrino Lopez has markers in the geo index representing the gender and the age of the agents that live in each residential property.
  I am trying to think what applications could there be for indexing the age and gender of the agents.
  One potential application could be making the secret app to be like a "dating app", but that wouldn't need to be made a "secret app" there are plenty of those in the apple store.
  This made me think that maybe they are using the secret app as a sex marketplace.
  Another possibility could be that maybe they are using it for the trade of organs / organ donations.
  It would be scientifically interesting to cross-join a databasde of organ donnors against the geo-index and to cross-join the database of recent organs recipients with the geo-index. Unfortunatelly I don't have this data because it is not public.
  Probably someone from law envorcement could have other ideas of potential illicit applications for indexing the gender and age of agents. And I say illicit because illicit generally means lucrative.
  Note: Please remember that Jeffry Epstein's island and the mansions of Sean Combs, are marked in the Geo-index. So the potential for it being a a sex marketplace, seems like it definetly could be a posibiilty.
  Maybe they took Elon's pitch for the "Everything App" a little bit too literally.
  Side note [Google Engineering]: While I was writing this entry I noticed a form of attack I haven't seen before: Google Indexed the HTTP (insecure, non-HTTPS) version of that CECC.GOV page that talks about Falun Gong practitioners being targeted for forced organs harvesting.
  This is an attack because almost all browsers by default block insecure pages (non HTTPS), so that page would just not open for about 99% of users. And there was no reason for Google to pick the insecure version of the page when the secure version of the page does exist. Seems intentional, particularly given the sensitive topic of the page and which Governments it is talkign about.
  If it is an attack and not a Google indexing bug: This would actually be a very sophisticated attack, one of the most sophisiticated I have seen in the last 5 years. I say this because it would be targeting the "Google URL Selection logic", a very obscure piece of code in Google Crawler Codebase (I worked on that a little bit circa 2015).
  
  

  ---

• Sent an "Aiding and Abetting" Legal Notice to the Lawyers Vladimir Padrino Lopez and President Xi Jinping Allegedly Retained

  (President Xi Jinping: I apologize for addressing you directly, but I have to assume you are involved given the revolving door of Chinese agents on the safe house at 2310 Britton Ridge Drive Katy TX 77494 which is next to my house).
  [02/25/2025 @ 15h25] To Vladimir Padrino Lopez and President Xi Jinping:
  I sent an "Aiding and Abetting" Legal Notice to the law firm you allegedly retianed to harass us with USD 72,000/year in "fines" if I don't take down the "private property sign" from my lawn.
  I sent a carbon copy of the notice to the FBI's PayPal Mafia Taskforce and to the Honorable Attorney General Ken Paxton.
  I sent the carbon copies both via Registered Mail, and electronically as well.
  I am providing the tracking numbers here so all agencies can watch the envelopes travel through the USPS network and internally within those government offices:

  RMWBH Attorneys and Counselors at Law: 
        USPS 9589071052701112032320
  
  CC: Attorney General Of Texas - Honorable Ken Paxton: 
      USPS tracking 9589071052701112032306 
  
  CC: FBI - Organized Crime Unit - PayPal Mafia Taskforce: 
      USPS tracking 9589071052701112032313
  

  
  Here is a copy of the "Aiding and Abetting Notice" with a copy of your letter.
  And here is a print-out of the electronic copy sent to the Honorable Attorney General Ken Paxton.
  

  ---

• Well, Well, Well, What Do We Have Here Vladimir Padrino Lopez?

  I've been running a lot of experiments this morning because my good informant gave me a couple of geography related tips.
  From what I am seeing, it seems like he is telling me the truth.
  The pipeline found a clusters of paramiliritary points, nothing like I have seen before, there is one point that has a score of 20 Million Points it is near the border of Florida with Alabama, near the Shoal River.
  Looking at the image, it seems obvious that Terra Tech passed by before I could get there, but I imagine it probably doesn't matter much, e.g. I don't think the US military would use google maps to look at these things if they come across this website.
  Looking at the 20 Million points location, my initial instinct was to think it could be represenging a very high altitute (like for a spy satellite or plane/baloon), but then, if that was the case, why modify the imagery on this forrest area?
  For reference, this is the location with the 20 million points score: 30.715700, -86.522500 .
  Anyhow, the good informant tells me that Alabama is a critically important region, they don't know why, I asked inisitently but they say they don't know the reason.
  So I ran SpyHELL setting the center at the center of Alabama and setting a radius of 150 miles (approx. 790,000 feet), it indeed found 35,560 locations with scores above 1M points. So the good informant is telling the truth.
  These are not residential locations, they look more like jump points in suburban or rural areas.
  Posting here the list of locations in case this is useful to the US Military:
  150-miles-from-the-center-of-Alabama.txt
  

  ---

• Please Stop The Execution, You May Want to Consider Switching the Subject

  
  This is not a joke.
  The place where Barry Van Treese was beaten to death, crime for which Richard Glossip is on death row based on the testimony of another person, is marked in Vladimir Padrino Lopez' geo-index:
  

  $ python3 -m spyhell \
      --scan_area \
      --latitude=35.4633404726644  \
      --longitude=-97.65506927481533 \
      --search_radius_feet=500 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0   35.4629 -97.653867                                        8000            12
  
  
  ========
  

  
  

  ---

• Change of Guard Was Ordered By Vladimir Padrino Lopez (for 2310 Britton Ridge Drive, Katy TX 77494)

  [02/25/2025 @ 11h15] We got new prison guards today. These ones I have never seen before, they are not the original "owners" of the safe house, nor the Salt Typhoon operatives I saw before, these look new. They seem to come prepared to camp there for at least a week, e.g. they brough in clothes in plastic bags for at least one week.
  Watch Vladimir Padrino Lopez' change of guard for 2310 Britton Ridge Drive, Katy, TX, USA via YouTube
  
  

  ---

• Gigabyte Technology Is Marked In Vladimir Padrino Lopez' Geo-index

  This is one of the most dangerous items there could be. This is a chipset manufacturer that manufactures a big part of all the motherboards used in all personal computers. They also also control the "BIOS" in those motherboards. The BIOS is a low level software that allows the motherboard (where the CPU is installed) to "talk to" the processor(s) (CPUs) installed on your computer's motherboard.
  If there is a place where an undetectable software backdoor could be placed, it would be the BIOS.
  The hardware backdoors they have already covered by controlling companies like Intel, AMD, Broadcom, Qualcomm, Apple, and others.
  

  ---

• The Turning Point Documentary on Netflix

  [02/25/2025] I had mentioned this briefly before when I saw Robert Gates speaking about Putin's ambitions to recreate the Russian Empire, on the first 5 minutes of the first episode.
  At the time, I noted that there were a lot of people in the cast with well-known prominence markers in their names, and I noted that the documentary so far seemed neutral, although in some segments it did seem like it was pushing an agenda.
  Well, a few weeks ago I finished watching it. You have to watch the last two episodes, they take the maks off on those two.
  The documentary is basically a propaganda piece aimed to paint a picture in which the US has been undermining the free will and self-determination of countries in Eastern Europe using the CIA, which by the way, is portraited as an incompetent agency by the scholars in the documentary.
  They narrate all these stories in which the CIA suposedly put together operations in which they burned thousands of western european civilians turned CIA operatives, which were captured like candy from children by the KGB and the FSB and subsequently killed or sent to Siberia.
  In one segment Robert Gates recalls how while he was at the CIA, they put together an interception equipment that was able to capture the public TV broadcasts in Poland for a period of 10 minutes and they used it to transmit messages for the polish insurrection movement to produce a Coup D'Etat. It sounded pretty much like what Liana Techonolgies is doing with Google today, so it made me wonder if this segment was perhaps bit of self-reflection, maybe.
  Then, the producers go into detail describing the military might of Russia and the effectiveness of their intelligence aparatus (I would ask agents Priddy about that though).
  All this is sounds more credible when they have Robert Gates sitting there giving comments. Robert Gates being a former Director of the CIA (1991-1993) and then un-Secretary of Defense (2006-2011), and employee of the PayPal Mafia (1998-present). So that adds a layer of credibility to what they are saying in the propaganda piece.
  One additional data point: In the documentary, they talk about specific techniques used by the FSB while Putin was part of it and after he became president. Former FSB agents interviewed in the documentary describe things like "drugging targets", using romantic interests to discredit targets, poisoning individuals, and I quote: "... not to kill, necesarily, but to put in ackward positions".
  All things I have seen first hand coming from the criminal ring, and that I described even before watching the documentary.
  In case any law enforcement agencies are watching our site: I would recommend looking up the people that produced that documentary in the geo-index using SpyHELL.
  Watch Robert Gates being interviewed on Netflix
  
  

  ---

• The Red Silverado Truck Plates BHZ-7952 Parked In Front Of The Spy House 24918 Mist Lake Ct, Katy, TX 77494: Is an Operative Of Vladimir Padrino Lopez Operating in Katy TX

  [02/25/2025 @ 09h15] This Vehicle is a well known surveillance vehicle in our system, it has been tagged months ago with the SEBIN tag.
  The vehicle is possing as it is one of their "Landscapers" but it has been "landscaping" for more than two hours. It's less than 1 acre, even I can cut that in less than 30 minutes.
  They are just putting the vehicle there to spy on the FBI in case they come to my house. It seems like Vladimir is unable to learn leassons from Elon Musk, Travis Kalanick, Edylberto Molina Molina, et al.
  

  ---

• Regina Hernandez (Google Contractor)

  Regina is an interesting case. I met her "randomly" at the Google caffeteria on building 40 druing lunch time, it looked like a completely random thing.
  She was in the line to get food, just ahead of me (as they always are). She smiled, I looked at her badge and because her name is Hernandez I asked if she spoke Spanish, she said yes, and introduced herself, firm handhsake, I remember.
  I immediatly asked if she would like to sit together to have lunch.
  After we became friends, a few days passed and Regina invited me to Las Vegas for a weekend! I asked what would be the sleeping arrangements, she said we could share the room. I asked if it would be a double room, and she said "not necessarily". Alright! I thought.
  Regina is a very very attractive woman, miss Venezuela type, I recall thinking "this is too good to be true", but I thought, well maybe women are attracted to "Google Engineers" in the Bay Area for some reason or something.
  So we went to Las Vegas and stayed at the Bellagio, this was on or arround late 2010 or early 2011.
  When we get there, I became terribly ill, I could not get up from bed, I spent the entire weekend laying down and sleeping. It was probably one of the most boring weekends of my entire existence.
  The sensation of the illness I felt, it felt very much like that time years later when Maria Eugenia Rojas drugged me in an Airbnb in Upstate New York during a weekend trip "with friends".
  I did not see Regina touching my computer, but again, I was out for most of the weekend. It is possible this is an standard operating procedure of the organization to misappropriate techonology from unsuspecting nerds like me.
  For comic relief: During that weekend that I spent mostly unconcious and feeling ill, in one of those periods of time I was out, Regina dissapeared, I didn't make much of it. When I am checking out from the hotel, I see the bill from the Bellagio Hotel and there is an item I don't recognize from the Spa. Regina had gotten a $200 pedicure and charged it to my credit card (without asking me). I was furious. Don't get me wrong, it wasn't for the money that I was furious about, it was about the fact that she charged it to my credit card without asking me.
  I had just been in the US for a couple of years at that point, and she is from Honduras or Guatemala I believe, so I thought "well, maybe it is a cultural thing", so I just let it go and didn't even say anything to Regina about that charge, but it got to me, I still remember it today 14 years later.
  Another data point: Looking in restrospective, the room location was very interesting. The Bellagio staff put us in the last room (as far as possible from the elevator) in one of the highest floors. Kind of secluded if I think about it. Mentioning because it is possible there was coordination with the staff.
  

  ---

• Potential Paramilitary Compound Found On US Soil And Marked In Vladimir Padrino Lopez' Geo-index

  The "Terra Tech Pipeline" (this is what I call the pipeline that looks for manipulated satellital imagery on Google Maps), detected an area that has an unusually high concentration of positions marked in Vladimir Padrino Lopez' geo-index (at this point Vladimir Padrino Lopez has to be the person in charge of the geo-index since Elon Musk was arrested recently and banditOS has not yet been dropped).
  The area contains markers that have scores so high that even surpass those of the presidential compound in Iran, and get this: the entire geographical area is called "Wolf Laurel" (note the "Wolf" prominence marker in the name, not of a location but of the entire area).
  These would be the locations that would probably be interesting to the The US Armed Forces (please note there are 8 locations with paramilitary scores above 1 Million points):

  $ python3 -m spyhell \
      --scan_area \
      --latitude=35.968539095105356 \
      --longitude=-82.50126157956397 \
      --search_radius_feet=15600 \
      --search_type=paramilitary-assets \
      --run_name="test"
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
       latitude  longitude  Vladimir-Pardrino-Lopez-paramilitary-score  distance_mts
  0    35.96510  -82.46430                                     3714000          3356
  1    35.96510  -82.46530                                     2038000          3266
  2    35.97820  -82.46800                                     1312000          3186
  3    35.96660  -82.45580                                     1275000          4106
  4    35.94075  -82.50975                                     1178000          3177
  5    35.97880  -82.53665                                     1052000          3389
  6    36.00460  -82.50325                                     1049000          4005
  7    35.96450  -82.45635                                     1029000          4076
  8    35.97195  -82.51970                                     1020000          1706
  9    35.94660  -82.52705                                      864000          3367
  10   35.98190  -82.47060                                      845000          3138
  11   35.96090  -82.53145                                      716000          2852
  12   35.96720  -82.53930                                      704000          3434
  13   35.96355  -82.45850                                      646000          3897
  14   35.96405  -82.48175                                      612000          1829
  15   35.95710  -82.47580                                      606000          2624
  16   35.96510  -82.49590                                      579000           616
  17   35.96890  -82.46000                                      553000          3722
  18   35.96510  -82.45730                                      539000          3984
  19   35.98800  -82.50325                                      522000          2167
  20   35.95990  -82.49285                                      514000          1223
  21   35.93660  -82.50600                                      514000          3570
  22   35.96700  -82.50275                                      500000           217
  23   35.98505  -82.51870                                      488000          2415
  24   35.97820  -82.49235                                      472000          1340
  25   35.95605  -82.52545                                      463000          2585
  26   35.95395  -82.49075                                      456000          1876
  27   35.95300  -82.47060                                      448000          3259
  28   35.95770  -82.46165                                      446000          3770
  29   35.97195  -82.47485                                      405000          2412
  30   35.94395  -82.52090                                      385000          3253
  31   35.99515  -82.48280                                      382000          3390
  32   35.95710  -82.50710                                      364000          1374
  33   35.99460  -82.50325                                      360000          2897
  34   36.00370  -82.49285                                      358000          3974
  35   35.99515  -82.48910                                      345000          3150
  36   35.93030  -82.50130                                      331000          4243
  37   35.95650  -82.49590                                      326000          1421
  38   35.97360  -82.54820                                      325000          4271
  39   35.92135  -82.49695                                      325000          5250
  40   35.98190  -82.49010                                      296000          1792
  41   35.97045  -82.52545                                      290000          2192
  42   35.92795  -82.49695                                      288000          4520
  43   35.95085  -82.53070                                      280000          3302
  44   35.96900  -82.52400                                      272000          2052
  45   35.97800  -82.50600                                      272000          1133
  46   35.94960  -82.48750                                      266000          2441
  47   35.96720  -82.49115                                      258000           924
  48   35.99515  -82.50820                                      250000          3018
  49   35.93660  -82.49115                                      239000          3659
  50   36.00800  -82.50600                                      239000          4399
  51   35.96800  -82.46955                                      208000          2861
  52   35.98400  -82.49490                                      205000          1809
  53   35.96400  -82.48910                                      203000          1207
  54   35.97360  -82.52135                                      196000          1897
  55   35.94960  -82.51065                                      195000          2266
  56   35.96090  -82.52340                                      187000          2169
  57   35.96200  -82.51815                                      184000          1687
  58   35.95280  -82.52225                                      180000          2576
  59   35.97150  -82.54460                                      180000          3923
  60   35.96355  -82.49815                                      176000           621
  61   35.95710  -82.50130                                      162000          1269
  62   35.95820  -82.53770                                      162000          3481
  63   36.01500  -82.50485                                      157000          5165
  64   35.96820  -82.46585                                      156000          3194
  65   35.93170  -82.49175                                      146000          4177
  66   35.96355  -82.51815                                      144000          1621
  67   35.97820  -82.54030                                      144000          3681
  68   35.98035  -82.46165                                      134000          3805
  69   35.95340  -82.50545                                      132000          1722
  70   35.97460  -82.45580                                      128000          4155
  71   35.98190  -82.47580                                      120000          2733
  72   35.97100  -82.46060                                      117000          3678
  73   35.96300  -82.46265                                      116000          3537
  74   35.97405  -82.49115                                      112000          1098
  75   35.95650  -82.51230                                      108000          1666
  76   35.99770  -82.52400                                      108000          3831
  77   35.94505  -82.50130                                      104000          2606
  78   35.97045  -82.51180                                      103000           974
  79   35.96820  -82.48750                                       99000          1242
  80   36.00315  -82.51065                                       96000          3933
  81   35.95650  -82.46530                                       93000          3508
  82   35.99120  -82.48430                                       93000          2943
  83   35.97680  -82.53145                                       84000          2873
  84   35.97880  -82.46745                                       84000          3255
  85   35.94190  -82.49440                                       82000          3020
  86   35.96890  -82.53565                                       81000          3102
  87   35.94075  -82.51330                                       80000          3269
  88   36.00315  -82.51750                                       80000          4110
  89   35.98000  -82.49590                                       78000          1361
  90   35.97360  -82.50130                                       76000           562
  91   35.98360  -82.48060                                       74000          2503
  92   35.99300  -82.47700                                       72000          3486
  93   35.99190  -82.49750                                       72000          2614
  94   35.95600  -82.51230                                       70000          1711
  95   35.97200  -82.48645                                       70000          1390
  96   35.96100  -82.45635                                       67000          4137
  97   35.98200  -82.46430                                       62000          3653
  98   35.98255  -82.49590                                       60000          1628
  99   36.00600  -82.51230                                       60000          4274
  100  35.95100  -82.48910                                       57000          2234
  101  35.98130  -82.50640                                       56000          1490
  102  35.92900  -82.50130                                       54000          4387
  103  35.96800  -82.53930                                       54000          3432
  104  35.97100  -82.54460                                       52000          3919
  105  35.94200  -82.52705                                       52000          3753
  106  35.94440  -82.47430                                       48000          3618
  107  35.95340  -82.47320                                       48000          3038
  108  35.95800  -82.49490                                       47000          1303
  109  35.93800  -82.51970                                       47000          3775
  110  35.98000  -82.46530                                       42000          3484
  111  35.96300  -82.51065                                       41000          1046
  112  35.96355  -82.54090                                       36000          3618
  113  35.96100  -82.46375                                       36000          3486
  114  35.98500  -82.48430                                       36000          2382
  115  35.95800  -82.51710                                       33000          1846
  116  35.98700  -82.50545                                       33000          2083
  117  35.97680  -82.52340                                       32000          2197
  118  35.94600  -82.51970                                       32000          3004
  119  35.98880  -82.52705                                       32000          3235
  120  35.95190  -82.46745                                       32000          3565
  121  36.01160  -82.49545                                       32000          4807
  122  35.93605  -82.52090                                       30000          4017
  123  35.95920  -82.47180                                       30000          2852
  124  35.98200  -82.52500                                       28000          2611
  125  36.01200  -82.49750                                       28000          4834
  126  35.96510  -82.51230                                       25000          1066
  127  35.93965  -82.50275                                       24000          3208
  128  35.95000  -82.53505                                       24000          3677
  129  35.99000  -82.51970                                       24000          2904
  130  35.97800  -82.51970                                       24000          1967
  131  36.01195  -82.50450                                       24000          4826
  132  35.97290  -82.50640                                       22000           670
  133  35.98190  -82.50130                                       20000          1483
  134  35.97880  -82.48335                                       20000          1976
  135  35.97200  -82.51180                                       20000          1025
  136  35.96720  -82.45060                                       20000          4572
  137  35.96500  -82.45480                                       18000          4209
  138  35.97400  -82.46640                                       18000          3202
  139  35.92700  -82.49010                                       16000          4718
  140  35.98920  -82.51550                                       16000          2628
  141  35.97460  -82.46900                                       16000          2987
  142  35.95900  -82.46800                                       16000          3182
  143  35.94800  -82.49235                                       16000          2417
  144  35.96090  -82.47180                                       15000          2789
  145  35.94900  -82.47265                                       14000          3371
  146  35.94910  -82.47265                                       14000          3364
  147  35.93300  -82.50395                                       14000          3951
  148  35.93700  -82.51550                                       14000          3728
  149  35.95400  -82.51870                                       14000          2253
  150  35.98790  -82.50275                                       12000          2152
  151  35.99990  -82.51125                                       12000          3594
  152  35.92440  -82.50870                                       12000          4943
  153  35.99300  -82.52225                                       12000          3309
  154  35.97680  -82.49865                                       12000           946
  155  35.97000  -82.48110                                       12000          1826
  156  35.94075  -82.48370                                       12000          3467
  157  35.98410  -82.52705                                       12000          2897
  158  35.97405  -82.46220                                       10000          3576
  159  35.95465  -82.47060                                       10000          3166
  160  35.98790  -82.47320                                        9000          3320
  161  35.94505  -82.49010                                        8000          2794
  162  35.92485  -82.50325                                        8000          4851
  163  36.01690  -82.49815                                        8000          5373
  164  35.99000  -82.47485                                        6000          3368
  165  35.94880  -82.47920                                        6000          2959
  166  35.95100  -82.50020                                        5000          1948
  167  35.99700  -82.51230                                        5000          3311
  168  35.93400  -82.49750                                        5000          3847
  169  35.93570  -82.49750                                        5000          3660
  170  35.94600  -82.50600                                        5000          2537
  171  35.94900  -82.48430                                        5000          2654
  172  35.98500  -82.47265                                        4000          3161
  173  35.95700  -82.53565                                        4000          3356
  174  35.99300  -82.49865                                        4000          2724
  175  35.96600  -82.49865                                        4000           367
  176  35.98400  -82.51710                                        4000          2232
  177  35.96800  -82.51970                                        4000          1664
  178  35.99300  -82.49235                                        4000          2831
  179  35.93600  -82.48645                                        4000          3850
  180  35.94100  -82.48645                                        4000          3335
  181  35.93900  -82.51065                                        4000          3385
  182  35.94880  -82.47220                                        4000          3416
  183  36.00200  -82.49815                                        4000          3723
  184  36.00585  -82.49905                                        4000          4145
  185  36.00200  -82.50395                                        4000          3721
  186  36.00800  -82.49115                                        4000          4472
  187  35.96400  -82.47700                                        3000          2246
  188  35.93200  -82.50870                                        3000          4109
  189  35.99400  -82.50640                                        3000          2863
  190  35.97900  -82.47430                                        3000          2695
  191  35.94200  -82.48010                                        3000          3509
  192  35.98100  -82.51180                                        3000          1678
  193  35.97800  -82.53240                                        3000          2998
  194  35.99800  -82.49545                                        2000          3311
  195  35.94100  -82.49665                                        2000          3084
  196  35.97200  -82.49665                                        2000           566
  197  35.99400  -82.50170                                        2000          2825
  198  35.98590  -82.47220                                        2000          3253
  

  
  

  ---

• The Multi-tasking Zero-Client CEO

  I don't know if readers would recall when I started writing about how the PayPal Mafia immunizes all their assets against the same types of attacks they perform on everybody?
  The "Geo-Immune Entities Pattern" is just one example of the more general pattern of immunizing things so people don't do to them what they do to the rest of the world. There are countless examples of this.
  Also, months ago, I wrote about how Goldman Sachs would be the only among all my past employeers that would be completely immune to the type of network interception the PayPal mafia does with the dog walkers and the airplanes. I noted at the time that this was because all the workstations at Goldman Sachs are based on a "Zero client" architecture.
  When I wrote that, I hypothesized that the company that provides the Zero Client connectivity and encryption to Goldman Sachs, must be part of the criminal ring, for obvious reasons: they know the kind of damange an external entity could do to them if they decrypted their network traffic, and this particular company is providing the zero client connectivity, which means it is encrypting all the keystrokes, mouse movements and display pixels of all the work stations of Goldman Sachs, some of which are used to commit major crimes.
  It would be illogical for them to entrust all those keyboard, mouse and display events to a third party company. I imagine they must have the notion internally of the equivalent of security clearance levels. Well, this company that provides the zero client connectivity and encryption, must have the highest security clearance level in their world.
  Well, I am saying all this because the company that provides the zero client connectivity to Goldman Sachs is: Citrix (which has been flagged for months of course).
  But the interesting part is that the pipeline today flagged the person that serves as CEO of Citrix: Tom Krause.
  When I look at the singals, it turns out that DOGE (Elon Musk I assume) appointed that person to a key position in the Treasury department.
  In other words, the person responsible for protecting the encryption of key things for the paypal mafia so they cannot be investigated as they commit major crimes againt everybody, including the US government, has been put in charge of a key area of the Treasury Department of the United States, that puts him in a position of power and control over federal payment systems (exactly the area of interest of the PayPal Mafia).
  This is obsene really, it's a daylight robbery.
  

  ---

• Scott Kupor Home And Office Addresses Are Flagged In Elon Musk's Geo-index

  Scott Kupor was co-clustered with Marc Andreessen and Ben Horowitz (both flagged and documented before).
  

  ---

• Jared Isaacman Is Flagged On Elon Musk's geo-index

  A brief summary:
  1. He founded an Online Payments company in 1999, just like Elon Musk did, only a few months later.
  2. His Payments company did not get attacked by the Paypal mafia, the Russian Intelilgence wasn't sent after him, and his company is still thriving today, 26 years later. He is processing 200 Billion Dollars in payments per year (and enforcing the 3% racket).
  3. He flew to space on a SpaceX mission, I remember seeing the infomercial on Netflix a couple of years ago, they said something along the lines that he was "representing a segment of humanity" - the billionaires segment I imagine, because his experiences with the paypal mafia don't reasemble mine, at all.
  4. He is a pilot and an astronaut.
  5. He donated 100 million dollars to St. Jude Children’s Research Hospital (just like Gates and the Bezos)
  6. He was nominated by president Trump to be the head of the NASA (so one of the government entities that would award contracts to Elon Musk's SpaceX).
  Powerful members of the organization that live nearby:

  845 Wickham Way, Ridgewood, NJ 07450. Score = 3 Million Points
  603 Kenneth St, Township of Washington, NJ 07676 (40.98995  -74.05530). Score = 1.1M
  332 Georgian Dr, Paramus, NJ 07652
  81 Salem Rd, Westwood, NJ 07675. Score = 1 Million.
  407 William St, Ridgewood, NJ 07450. Socre = 1 Million.
  731 White Birch Rd, Westwood, NJ 07675. Score = 956k.
  620 Van Emburgh Ave, Township of Washington, NJ 07676. Score = 866k.
  11 Viola Terrace, Township of Washington, NJ 07676. Score = 530k.
  865 Roslyn Rd, Ridgewood, NJ 07450. Score = 324k.
  587 Van Emburgh Ave, Township of Washington, NJ 07676. Score = 289k.
  19 Stratford Ct, Township of Washington, NJ 07676. Score = 273k.
  3 Katharina Pl, Township of Washington, NJ 07676
  733 Wayne Pl, Westwood, NJ 07675
  559 Jackson Ave, Township of Washington, NJ 07676
  841 Robinwood Rd, Township of Washington, NJ 07676
  238 Woodfield Rd, Township of Washington, NJ 07676
  224 Pascack Rd, Township of Washington, NJ 07676
  821 Robinwood Rd, Township of Washington, NJ 07676
  41 Woodfield Rd, Township of Washington, NJ 07676
  20 Deerhill Dr, Ho-Ho-Kus, NJ 07423. Score = 25k.
  233 Woodfield Rd, Township of Washington, NJ 07676 (Has the Flag marker, the window screens just like 2310 Britton Ridge)
  

  The epicenter of the mesh network in this area seems to be the Immaculate Heart Academy, 500 Van Emburgh Ave, Township of Washington, NJ 07676.
  

  ---

• Tim Cook's Mansion At The Madison Golf Club, La Quinta California: Is Marked In Elon Musk's Geo-index

  [02/24/2025] I heard a rumor that Tim Cook plans to anounce from his mansion an upcoming spin-off of iOS that they have been secretly working on for years.
  The new operative system called banditOS, is rumored to be the operative system that will power all mobile devices, interception devices and the navigation systems of all the small planes, jets, and vessels of the PayPal Mafia going forward.
  A turn key integration of banditOS is rumored to be in the works at Airbus and Boeing as well.
  One of the takeaways from the post-mortem after the arrest of Travis Kalanick was that this time, they are storing the Geo-index directly inside banditOS in a secure/encrypted storage provisioned by the OS for this purpose exclusively. In other words, they won't be storing the geo-index on the internet unencrypted anymore, banditOS will be the new Geo-index.
  Mr. Cook was also in conversations with Elon Musk to replace the fork of Android he has running on Tesla vehicles by banditOS, but unfortunately Elon Musk has not been able to be present for the negotiation talks lately, he just stopped showing up one day.
  Attempts to reach Elon Musk for comments have also been unsuccessful.
  In terms of geo-engineering, this property is a monstrosity. The buffer zone is so large, that I had to zoom out 4 levels and it gets to the point where the property (which is a 10,000 Sqft home) is barely visible in the screenshot:
  
  The predominant communication channel, from what we have learned by reverse engineering their systems, seems to be East-bound (e.g. signal traveling from West China to the United States).
  Side note: I imagine that the organization must control at least the two contiguous houses on the north and south sides of the property, e.g. I doubt they would go trough all this trouble and expenses to then leave open the possibility of the FBI acquiring either of those houses (at the very least).
  

   python3 -m spyhell \
      --scan_area \
      --latitude=33.66037761329515   \
      --longitude=-116.23512170310639 \
      --search_radius_feet=1200 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  33.66125   -116.237                                    2000           59
  

  
  

  ---

• James H. Clark and Larry Ellison Appeared In a Real Estate Transaction Related To A Property That Is Marked In Elon Musk's Geo-Index

  The transaction was for about 170 Million USD, it's a residential property, well, a compound really, on S Ocean Blvd, Manalapan, FL 33462.
  The pipeline places the property on these coordinates: 26.549051409287788, -80.04308909216496.
  This location is flagged in Elon Musk's geo-index (below).
  One more data point: The Google Search query: "Jim Clark" has been heavily manipulated by Liana Technologies. Google thinks today that the British Car driver that died in 1968, is more prominent today than the Tech Billionaire from Silicon Valley that has owned Health tech companies, and most notably was the CEO of Netscape, which has been flagged for months, has the prominence marker "Scape" in its name, and has been around since the begining of the Internet.
  Do I keep going?
  

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=26.549051409287788   \
      --longitude=-80.04308909216496 \
      --search_radius_feet=1000 \
      --search_type=spy-assets \
      --run_name="test" \
      --sort_by_distance
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: spy-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  26.54880  -80.04340                                      30            42
  1  26.54885  -80.04065                                       4           244
  

  
  

  ---

• Red Bull, Celcius Holdings Inc and Monster (the Energy Drinks)

  Are all flagged in Elon Musk's Geo-index and their headquarters are protected against radiofrequency eavesdropping using geo features.
  The PayPal Mafia is not known for leaving people any options, so if you want to drink an energy drink, you'd have to buy it from them.
  Just to pose a couple of examples:
  The Red Bull HQ in Austria. It's a beauty of geo-engineering (I think I am developing a palate for these things). If you work for the Directorate State Protection of Austria and want to investigate what might be going on here, well, you'd have to be a magician or be able to self-teleport:
  
  Celsius HQ in Florida:
  
  And for completeness, regarding the index markers:
  Red Bull HQ in Austria:
  

  $ python3 -m spyhell \
      --scan_area \
      --latitude=47.79132756322917  \
      --longitude=13.295655696899656 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  47.79200   13.29570                                    2000            75
  1  47.79200   13.29475                                   16000           101
  2  47.79115   13.29330                                   16000           178
  3  47.79380   13.29425                                  744000           294
  

  
  Celsius HQ in Florida:
  

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=47.79132756322917  \
      --longitude=13.295655696899656 \
      --search_radius_feet=1000 \
      --search_type=spy-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: spy-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  47.79115   13.29330                                      16           178
  1  47.79380   13.29425                                     744           294
  

  
  Another observation that was co-clustered automatically by the pipeline with the energy drinks vertical (I believe because he was a F1 pilot, but have to debug more in depth):

  The Exact Location of Michael Schumacher's Ski Accident Is Marked In Elon Musk's Geo-index

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=45.38585430073348   \
      --longitude=6.600970239687824 \
      --search_radius_feet=1000 \
      --search_type=spy-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  Using Backend: spy-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  45.38510    6.60234                                      32           136
  1  45.38235    6.60083                                       2           390
  

  
  

  ---

• Alice Weidel: Is Flagged In Elon Musk's Geo-index

  A property that the pipeline associates with Alice Weidel in Einsiedeln, Switzerland is marked in Elon Musk's Geo-index.
  Alice Weidel was co-clustered (personally) with Elon Musk and Sinead Strain. She was also co-clustered with Goldman Sachs because according to the pipeline, it is very likely Alice Weidel worked at Goldman Sachs in the past.
  Only agents and targets work at Goldman Sachs (for obvious reasons). I worked there as a target.

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=47.1249495  \
      --longitude=8.746731234 \
      --search_radius_feet=1000 \
      --search_type=spy-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: spy-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   47.1249    8.74673                                     174           6
  

  
  

  ---

• The Video They Took Down From Youtube

  [02/24/2025] I had posted a video months ago on YouTube, in which a Venezuelan agent of the Venezuelan Intelligence (SEBIN) was tracking and transmitting my location with a device hiden in a purse and at the same time verbally threatening me to intimidate me.
  I don't know now really how they took it down, I did not receive any notices from Youtube or Google, or any complaints or anything, it just disappeared.
  As always, when I identify things that bother them, what do I do? ----> Amplify them.
  So I will post it again and give the heads up to any law enforcement agencies that may (or may not) be tracking the developments on this website, in case they take it down again, it might be an easy way to trace this back to the masters of the enterprise or at least, the highest ranking operatives within Google.
  Watch Vladimir Padrino Lopez' undercover operative working in Katy, TX, USA via YouTube
  

  Transcript: "Es que el es muy metiche y se va a llevar 
               varios encontronazos con Lisandra".
  

  For context:
  1. Metiche is a word that is typically used in Venezuelan Spanish to refer to a person that intrudes into someone elese's business (which is ironic coming from a Spy ring).
  2. Encontronazo: is also a Venezuelan word. Encontronazo refers to a conflict, usually involving physical violence intentionally exerted by one party to completely stop another party (it bears an implication of "stopping movement" by means of force).
  3. Lisandra: Lisandra Romero is a Cuban Intelligence Officer whom I met personally. Encounters with Lisandra are documented in the Archive.
  And for good measure:
  Whatch The Salt Typhoon Houses in front of our headquarters, the shared antenna tucked behind their fence, and the dead pine tree they killed in the front of our home that was covering our Antenna..
  
  

  ---

• The Location Where Gabby Pettito Was Murdered: Is Marked In Elon Musk's Geo-index

  This one is a delicate subject because she was a Travel vlogger, and as we know, the only organization that is allowed to have pages listed on Google Search Results for Travel queries are sites that are owned by the PayPal Mafia (Expedia, Travelocity, Hotels.com, Booking.com, etc).

  $ python3 -m spyhell \
      --scan_area \
      --latitude=43.77606991739444  \
      --longitude=-110.43610853592416 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  43.77845   -110.437                                   28000           274
  1  43.77310   -110.436                                   32000           330
  

  
  

  ---

• The Location Of The Crash Site Where Paul Walker Died: Is Marked In Elon Musk's Geo-index

  # 25601 Hercules St, Valencia, CA 91355, US
  $ python3 -m spyhell \
      --scan_area \
      --latitude=34.454034979423206   \
      --longitude=-118.57826890353935 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   34.4545    -118.58                                   46000           167
  

  
  

  ---

• The Salt Typhoon Hairdo Marker of Prominence

  I have no way to definitively prove this observation, but because I have been living surrounded by them for a long time I was able to see this:
  The most prominent member of the Salt Typhoon Terrorist group within a small cell of operatives, seem to identify themselves publicly by wearing their hair tinted blonde.
  They are Asian individuals with their hair being naturally black, but they tint it with a blonde color, it gives a very distinctive look. I've seen this in a few ocassions in which the conflict with the PayPal Mafia and Travis Kalanick specifically was at a high point, some examples:
  • When I was employed by Goldman Sachs, and they had positioned Alvaro Gutierrez under me in the organization and him and Ana Codallo were working together to steal the Calculado Health codebase: Another person that worked in my team, an Asian young lady by the name of Merci or Mercy, sudently tinted her hair in this very distinctive maner. I didn't make much of it at the time.
  • When I had just purchased the property 2302 Britton Ridge Drive and was about to escape from 26714 Valleyside Drive with my family, the criminal organization started assessing whether to break into the house. They started running experiments with my security system, using CenterPoint personel to cut our power for a few seconds to see if the cameras blinked, etc.
    When they did those experiments, in every ocassion, a small group of Asian young men and women came into the house just in front of mine (26711 Valleyside Dr, Katy, TX 77494) and spent the night before the experiment and left in the morning right after they did the experiment.
    In all those occasions, in each group of young asian men/women, there was always one person that walked and acted as in carrying a bit more authority than the others, and had their hair tinted blonde in the same distinctive manner as Merci/Mercy from Goldman Sachs.
  • Months after, when I was already living at the new house (2302 Britton Ridge Drive, Katy 77494): Phill Dening and the OG Spies from 2310 Britton Ridge Drive (the house next to mine), started on a campaign to try to insert bugs closer to my garage. All those attempts are documented in the Archive. I of course blocked all their attempts, but in one of those attempts, there was an asian young woman, with a small dog, and she had her hair tinted in the same distinctive way with the same colors as I had seen before.
  • I've also seen groups of asian people sourronding Elon Musk, in person and on TV, in which there is always one Asian individual with this distinctive hairdo.
  Note: In all these ocassions, within the group, there's always one and exactly one individual with the hair colored in this distinctive fashion, there is never more than one. That's why I think it is a marker to let all the other members of the group know, who is in charge of the operation.
  The person is always Asian and most likely Chinese (saying this bacause of the shape of the eyes and other characteristics that allow me to distinguish the most likely nationality, it is not a discriminatory comment, nor a sign of bias).
  
  

  ---

• Public Service Announcement: Anyone Nominated To Direct The FBI Will Be Automatically Investigated By The Pipeline

  I didn't mention this before but I configured this pipline maybe a month ago because I could see they had an interest in placing agents in positions of power in agencies that could investigate them and arrest them ... Case in point: Douglas O'Donnell.
  It's the same principle they applied when they made Larry Page "retire" and placed Sundar Pichai as CEO as Google (so Liana Technologies could not be shut down ever).
  The Winner this time is: Dan Bongino.
  The network node next to his house has a paramilitary score of over 2 Million points. I imagine this probably translates in Elon Musk's paramilitary encoder as something like "Has Direct Line To Masoud Pezeshkian" (Only the presidential compound in Iran has scores that high).
  The houses next to his house have the "empty lot prominence marker", so I imagine all those 6 houses near by are in reallity one single "residential compound".
  Same reasoning as why president Xi Jinping does not live in a regular house but in a compound. Dan Bongino must be a very important player for the network.

  $ python3 -m spyhell \
      --scan_area \
      --latitude=27.21499989135827   \
      --longitude=-80.20783522189376 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   27.2135  -80.20820                                 2101000           170
  1   27.2130  -80.20865                                   60000           236
  2   27.2170  -80.20865                                   72000           236
  

  
  

  ---

• Daniel Ek

  Too many datapoints to list here but he is very close to the epicenter of power in the criminal organization.
  Maybe related: Somehow close to Daniel Ek's Villa en Marbella, there is this point with a paramilitary score of exactly 100,000, that had the satellite imagery modified by Maxar/Terra Tech (or whatever they are calling it these days). They did a sloppy job at modifying the imagery, that's why it was picked up, these are the exact coordinates: 36.555000, -5.150200.
  This other point near by also caught the attention of the operator because it is located feet away from a mine (but we are not sure if it is active or not): 36.538 -4.91802 (score=54,000)
  

  ---

• Angel Vargas Da Costa Is Marked In Elon Musk Geo Index With a Paramilitary Score

  I used to go to that house for Christmas and New year's celebrations between 2014 and 2018 I believe.

  python3 -m spyhell \
      --scan_area \
      --latitude=29.710001921427033    \
      --longitude=-95.84211720327086 \
      --search_radius_feet=100 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  29.709833  -95.84225                                   12000            23
  

  
  

  ---

• The Stadiums Pipeline

  Next to every important Stadium / Arena / Convention center in the US, Canada and the UK, there are important paramilitary markers Flagged in Elon Musk's geo-index.
  I am not saying they built all the stadiums, I imagine they probably influenced the decision of building some of them where they were built, but I also imagine some others they saw as an opportunity and decided to use them as radio frequency shields.
  Here is one notable example that has several paramilitary markers with scores in the millions:

  $ python3 -m spyhell \
      --scan_area \
      --latitude=40.82961821723364    \
      --longitude=-73.92617450342969 \
      --search_radius_feet=5000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   40.82785  -73.92860                                  478000           284
  1   40.82700  -73.92435                                  196000           329
  2   40.83165  -73.92290                                 1138000           357
  3   40.83265  -73.92860                                 2802000           394
  4   40.83265  -73.92335                                  155000           412
  5   40.83165  -73.92185                                  505000           429
  6   40.82860  -73.92110                                    9000           443
  7   40.82905  -73.93175                                   16000           475
  8   40.83390  -73.92795                                    6000           499
  9   40.82475  -73.92705                                  144000           546
  10  40.82565  -73.92230                                   14000           549
  11  40.83120  -73.91970                                  148000           574
  12  40.83520  -73.92965                                   63000           686
  13  40.82430  -73.93070                                   20000           703
  14  40.82940  -73.91750                                   46000           732
  15  40.82905  -73.91750                                  673000           734
  16  40.83475  -73.92030                                   12000           755
  17  40.82320  -73.92290                                  148000           764
  18  40.83330  -73.93445                                    6000           809
  19  40.83650  -73.92965                                   16000           819
  20  40.82940  -73.93600                                  195000           829
  21  40.82320  -73.93175                                  108000           854
  22  40.83690  -73.92230                                   38000           872
  23  40.83475  -73.93500                                  224000           938
  24  40.82860  -73.91485                                   12000           962
  25  40.82860  -73.93760                                   78000           970
  26  40.82320  -73.91750                                 2788000          1021
  27  40.82600  -73.91485                                   32000          1036
  28  40.82600  -73.91485                                   32000          1036
  29  40.83905  -73.92605                                  160000          1047
  30  40.83905  -73.92925                                  148000          1079
  31  40.82320  -73.93600                                 1054000          1093
  32  40.82785  -73.91330                                  411000          1104
  33  40.83120  -73.93915                                   36000          1108
  34  40.82620  -73.93870                                  180000          1123
  35  40.82200  -73.93500                                    3000          1127
  36  40.82200  -73.93500                                    3000          1127
  37  40.82430  -73.93760                                  374000          1130
  38  40.82475  -73.91385                                  134000          1172
  39  40.83430  -73.93870                                   68000          1178
  40  40.81900  -73.92290                                  152000          1211
  41  40.81900  -73.92965                                  480000          1215
  42  40.82905  -73.91120                                  633000          1265
  43  40.81855  -73.93070                                 1849000          1287
  44  40.82940  -73.94175                                  394000          1314
  45  40.84110  -73.92185                                  260000          1326
  46  40.84110  -73.93175                                  164000          1359
  47  40.81735  -73.93025                                  810000          1405
  48  40.84235  -73.92760                                   42000          1419
  49  40.81635  -73.92705                                  864000          1475
  50  40.81635  -73.92335                                  532000          1493
  51  40.81600  -73.92435                                   81000          1520
  52  40.81600  -73.92435                                   81000          1520
  53  40.81485  -73.92335                                  165000          1657
  54  40.84500  -73.92500                                   99000          1711
  

  
  

  ---

• The Low Weight / Low Volume / High Margin Items Sold at Walmart

  This is experimental work, still early on, but I started working on a pipeline that identifies product/retailer pairs that could exhibit statistical anomalies.
  I won't write too many details because I don't want to tell them how the techonology works so they can't develop counter-measures for it, but this pipeline identified a series of products manufactured in China and sold at Walmart that have these characteristics:
  1. Low net weight and low net volume
  2. Above average item price
  3. High margin
  4. High sales volumen
  It occurred to me that could be something similar to what they do with the gas stations and the inflated gas prices (documented before).
  Imagine this scenario: They use their "secret app" to order 4 million agents in the US to go and buy one of these specific products at their closest Walmart store.
  This is an example of the power of coordination of individuals through computing means that they discovered decades ago (the second fire they are hoarding).
  Thinking about this: It seems to me that given the state of the world, all custom records should be made public. We, the public, have the right to know who is bringing what into the country and from where.
  If I had this data, using SpyHELL, it is possible I could be able to trace this all the way back to one of the OGs.
  But, ironically, they thrive on the privacy given to them by government institutions (Customs in this case), while they in turn spy on everyone else (including government institutions).
  One can see why they have been winning all these years.
  

  ---

• GFL, The Company That Analyzes Your Trash, Is Marked In Elon Musk's Geo-index

  This one could be a good case study in the subject of geo engineering. They didn't use natural geo-features but a series of parking lots and open structures made of concrete / asphalt. I imagine there must be a practical reason for that.
  Side note: GFL is the preferred garbage company of Phil Denning and Post Oak Property Management. I say this not only because it is the company that collects the trash in the subdivision where I live (Lake Pointe Estates, Katy Texas), but also because Phil Denning mentioned this company in his emails in several occasions.
  In one of the occasions I mentioned to Phil Denning that the operator had trespassed property lines, and he went on on a elaborate explanation how that was not possible because the truck was fitted with 6 cameras and what not.
  I didn't get into the argument with him, but what happened was that the man driving the truck made it look like the truck was having a mechanical problem and let it "parked" two houses down (in front of the spies of 2210 Britton Ridge Drive) and the other man came towards my house and trespassed the property lines. I have the video recording of this incident.
  Anyhow, GFL (their headquarters) is marked in the geo-idnex with scores of almost 1 million. All their operational sites in the US and in Canada are also marked in the index.
  This company is basically one of the feedback collection mechanisms of the PayPal Mafia.

  $ python3 -m spyhell \
      --scan_area \
      --latitude=43.795030410375894    \
      --longitude=-79.52913370329509 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   43.795300  -79.52915                                  831000            30
  1   43.794850  -79.52860                                   26000            47
  2   43.795900  -79.52915                                   16000            97
  3   43.795900  -79.53125                                   12000           196
  4   43.793800  -79.52700                                   10000           219
  5   43.795300  -79.53235                                  875000           261
  6   43.797867  -79.52860                                   15000           318
  7   43.797867  -79.52975                                   24000           319
  8   43.792050  -79.52915                                   16000           331
  9   43.798000  -79.52975                                    4000           334
  10  43.798000  -79.52975                                    4000           334
  11  43.798450  -79.52915                                    8000           380
  
  

  
  

  ---

• Berkshire Hathaway Headquarters Is Marked In Elon Musk's Geo-index

  $ python3 -m spyhell \
      --scan_area \
      --latitude=41.2571130368099     \
      --longitude=-95.9654799899171 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   41.2573  -95.96355                                   12000           163
  1   41.2560  -95.96785                                   96000           234
  
  

  
  

  ---

• Kanye West Is Flagged In Elon Musk's Geo Index

  Multiple of Kanye West's properties over the years are flagged in the index. This is just one example: 72 Beverly Park Ln, Beverly Hills, CA 90210.
  Related to this, there are a couple of very expensive properties near by that are probably worth looking into because they are also marked in the index, please see coordinates below:

  $ python3 -m spyhell \
      --scan_area \
      --latitude=34.12541592239211     \
      --longitude=-118.41763208531317 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   34.1253   -118.4176                                   9000            22 
  1   34.1233   -118.417                                    2000           242
  2   34.1251   -118.415                                    3000           245
  

  
  

  ---

• The Northern Escape Routes of Vladimir Padrino Lopez' Active Military Operatives In The United States Of America

  Forgot to mention this, which was also mentioned to me by the good informant.
  Well, in reality I didn't forget to mention it, I didn't mention it because I think it is one of the dumbest ideas I have heard (The RCMP will likely catch them).
  Plus, these agents are acostumed to living in warm weather and having a pool and a yacht on their backyards without working one day of the year, they are not built for this.
  This is inhumane Vladimir! What kind of revolution are you running here? Some agents declared.
  But anyhow, this is the information I got about the northern escape ground routes:
  • New York City ---> Montreal, Quebec
  • Buffalo, NY ----> London, Ontario
  • Minnesota ---> Winnipeg, Manitoba
  • Montana ----> Calgary, Alberta
  • Seattle Area ----> Victoria, British Columbia
  
  

  ---

• Theranos, Elizabeth Holmes, Ramesh "Sunny" Balwani: Were Flagged in Elon Musk's Geo-index back in their days

  Both the office and their Atherthone home are flagged in Elon's index (see below).
  One thing that is impressive though, is that both of them, even facing incredible criminal charges and facing long sentences, didn't give up the existence of the network, or used their knowledge of its existence to negotiate lower sentences.
  They must have been scared of the PayPal Mafia. I can see why.

  # 227 Park Ln, Atherton, CA 94027
  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=37.446045529531055    \
      --longitude=-122.20111040227495 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   37.446067   -122.201                                    3000            10
  1   37.445500   -122.201                                    6000            61
  2   37.446067   -122.202                                    3000            79
  3   37.446067   -122.200                                    3000            98
  4   37.445500   -122.202                                    3000            99
  
  
  # 1701 Page Mill Road, Palo Alto, CA 94304
  $ python3 -m spyhell \
      --scan_area \
      --latitude=37.40832553866664   \
      --longitude=-122.1531338876607 \
      --search_radius_feet=1000 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   37.408100   -122.153                                   13000            28
  1   37.407525   -122.154                                    7000           117
  2   37.409133   -122.154                                    3000           118
  3   37.407525   -122.152                                   13000           134
  4   37.409133   -122.152                                    3000           135
  5   37.407033   -122.154                                    6000           163
  6   37.408100   -122.155                                    5000           167
  7   37.407033   -122.152                                    9000           175
  8   37.407525   -122.155                                    4000           188
  9   37.409133   -122.155                                    3000           188
  10  37.407525   -122.151                                   12000           209
  11  37.409133   -122.151                                    3000           209
  12  37.408100   -122.156                                    5000           255
  13  37.410675   -122.153                                    4000           261
  14  37.406067   -122.154                                    6000           262
  15  37.410675   -122.154                                    4000           272
  

  
  

  ---

• The Tesla Solar Panels

  Early observation: Properties with Tesla Solar Roofs are marked in the index more often (in normalized terms) than properties without Tesla Solar Roofs.
  It ocurred to me that maybe, president Xi Jinping figured out that it was cheaper instead of buying the houses, convincing people to buy thir "Tesla" Solar roofs, which would give them access to the real estate to install their surveillance/communication equipement on those roofs and power the equipment with the solar panels, it would be undetectable because it wouldn't even have an electricity foot print.
  If I worked for an agency tasked with investigating the solar roofs, I would start by narrowing down the candidate locations using SpyHELL and sorting by decreasing score and I would start auditing the ones with higher scores and closest to "centers of power" first.
  For example, while I was playing with this idea, I saw a lot of interesting properties in Napa Valley, California.
  Side-note: I noticed that some of the well-known spy houses marked in their geo-index, seem to consistently have big solar panels arranged in very particular ways. I observed this not only in Katy, but also in other cities and other countries as well.
  I have been treating this as a visual marker in satellite imagery (think of a bar code), and it is, the arrangement of the panels does have a meaning. But I think it serves another purpose too: To power servers and heavy communications equipment, so the electricity bill doesn't go too high up (which could alow law enforcement to single out these houses easily).
  One example of this is the Salt Typhoon house in front of our headquarters: This house: 26711 Valleyside Dr, Katy, TX 77494
  To the owners of the circus: This is the reason why you don't want to take a Google engineer hostage and put them to live and work in the middle of your operation. Big mistake.
  

  ---

• The Escape Route Of Vladimir Padrino Lopez' Minions In The United States Of America

  Note: The Information below came from an informant, posting here what I heard just in case any Law Enforcement agency is watching this website
  To Law Enforcement In Case It Helps: My (good) source told me that the route of escape for prominent agents of the Venezuelan "Intelligence" and "Military" operating in clandestinity in the USA is going to be Cruise Ships, as in they are going to pose as if they are going to take a cruise (but use that oportunity to switch fake identities and come back).
  Remember: The Venezuelan regime has a factory to make fake IDs and passports, it's called SAIME, and the director is Gustavo Vizcaíno.
  
  The crazy thing to me is that is their plan is to leave, get new fake IDs and then come right back. This is llustrates exactly what I meant last week, they are adicted to spying on everyone, they can't stop and they can't help themselves.
  The source tells me that the curise companies are complicit on the extraction plan, but wasn't sure to what extent, e.g. I asked if they owned the cruise companies / ships but the source didn't know, only told me there was collaboration, in the form of lowered security protocols, document checks, even room assigments could be prioritized according to the prominence of the agent.
  Galveston and Miami are going to be important extraction points, but not the only ones, NYC, SF, New Orleans, Virginia, Charleston are also extraction ports in their plan.
  I will do a run to find all the paramilitary positions marked in ports visited by cruise ships, it's trivial to this using SpyHELL, I will write a tutorial on how to do this and publish it here too, so agencies can extrapolate this to other verticals later.
  

  ---

• The headquarters of the Southern Common Market (Mercosur) located in Montevideo, Uruguay: Is Flagged In Elon Musk's Geo-index

  
  This is the headquarters of the PayPal Union in South America.
  The address is Dr. Luis Piera 1992, 1st Floor, MERCOSUR Headquarters, Montevideo, Uruguay, ZIP CODE 11200.
  Russel did such a good job here, it's commendable.
  Aligning the Headquarters exactly with that road that goes North-to-South, shows the brilliance in Russel Simmon's technique and sophistication.
  This one is so good, I had to zoom out two levels to really be able to make justice to the image.
  The only way I can think of to improve on this design, would be to put a giant mountain range on the east side, but that would probably get in the way of the channel communicating with the coast of Cape Town, South Africa, the country that gave birth to the new Inter Galactic Vice-president of the entire human race.
  That's probably how Russel instinctively knew that putting a mountain range there was a no-go zone.
  
  The Mercosur headquarters, is, of course, full of paramilitary positions that are flagged in Elon Musk's geo-index. A couple of them have scores over 1 million points (this is Iranian-Presidential-Compound level).

  python3 -m spyhell \
      --scan_area \
      --latitude=-34.91409516837552  \
      --longitude=-56.171374447258934 \
      --search_radius_feet=10300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  -34.91300  -56.16870                                    2000           273
  1  -34.91700  -56.17895                                    2000           764
  2  -34.91500  -56.16040                                   20000          1008
  3  -34.92300  -56.16510                                   49000          1142
  4  -34.90300  -56.16995                                    4000          1238
  5  -34.90500  -56.18040                                   18000          1303
  6  -34.92600  -56.17360                                   78000          1336
  7  -34.90500  -56.15980                                   56000          1462
  8  -34.92500  -56.18040                                  193000          1464
  9  -34.92200  -56.18520                                    5000          1538
  10 -34.91600  -56.15420                                    3000          1584
  11 -34.92890  -56.17615                                    8000          1699
  12 -34.91900  -56.18985                                   28000          1774
  13 -34.90100  -56.18260                                   62000          1778
  14 -34.92890  -56.18260                                   60000          1936
  15 -34.93200  -56.16940                                  236000          1995
  16 -34.90100  -56.15610                                  370000          2015
  17 -34.91000  -56.19300                                    3000          2028
  18 -34.92970  -56.15980                                   36000          2029
  19 -34.89500  -56.17035                                  112000          2120
  20 -34.90100  -56.18830                                    5000          2122
  21 -34.93200  -56.16195                                    4000          2165
  22 -34.89500  -56.16350                                  151000          2237
  23 -34.92890  -56.18830                                   76000          2256
  24 -34.91000  -56.14710                                    3000          2264
  25 -34.93430  -56.16715                                    4000          2275
  26 -34.92800  -56.15250                                    2000          2314
  27 -34.89700  -56.18620                                   36000          2331
  28 -34.91600  -56.19685                                   28000          2338
  29 -34.93600  -56.17035                                   14000          2432
  30 -34.89500  -56.15720                                   61000          2483
  31 -34.93640  -56.17990                                  320000          2594
  32 -34.89040  -56.17660                                  151000          2672
  33 -34.88900  -56.17195                                   49000          2785
  34 -34.93860  -56.16460                                   80000          2788
  35 -34.93955  -56.17195                                   40000          2824
  36 -34.89000  -56.18140                                 1255000          2826
  37 -34.91300  -56.20260                                    5000          2856
  38 -34.88160  -56.17250                                    2000          3606
  

  
  Note: This Headquarters was built and open during year 2001. The timing of the construction of this masterpiece of the PayPal Mafia seems to align with several important geo-political events, like the raise and consolidation of Hugo Chavez in Venzuela before the purge of PDVSA, Elon Musk being "ousted" as CEO of PayPal, and the terrorist attacks of September 11.
  The one thing all these places have in common (besides the timing) is them being flagged in Elon Musk's geo-index with paramilitary scores, and this is not a theory, it is a fact.
  

  ---

• The "What You Accomplished This Week" Friday Emails - With Special Guest Marcin Kadluza

  [02/23/2025] One small item I forgot to mention.
  Once Elon Musk "purchased" the company that employed me (Twitter) the first thing he did was to establish a mandatory procedure: You had to write down in an email all the things you accomplished that week, or be fired. You had to send that email directly to an inbox they designated for this, with CC to Elon Musk.
  Of course I didn't have much to write because Arnaud, James Gao, Luke Simons, James Neufield, Ajeet, etc blocked every single thing I proposed or tried to work on.
  So I basically went around trying to be helpful everywhere I could and wrote as many things as I could think of in those Friday emails, tyring to not get fired.
  Of course, I now understand that all that was just a legal ruse of David F. Hine.
  They knew they were blocking me of doing pretty much anything, and that I would write something related to data science or search, which then they would try to use in that future Intellectual Property lawsuit they have been planning for years (e.g. using agents Max, Oksana, Lawson, Hugo, CJ, Susan Grady, etc).
  One additional data point related to these emails: In one of those emails agent Marcin Kadluza, wrote an email directly to Elon Musk CCd to me. In this email Marcin was praising me, saying something to the effects of that "I had developed an equivalent to Google Navboost but for people" or something along those lines (I can't recall the exact phrasing). Marcin was "let go" By Elon Musk the week after sending that email (extraction protocol).
  Remember: This agent Marcin Kadluza is the same agent that then went on to work for ZoomInfo reporting directly to the CTO of ZoomInfo and tasked to work on "people search" and then tried to recruit me from ZoomInfo (probably to cause me legal trouble for intellectual property as a backup plan).
  Knowing what I know today, it is obvious to me that that email Marcin Kadluza sent to Elon Musk was probably written by David F. Hine or Michael Hughes and was just a way to seed legal trouble for me and fabricate fake evidence for Elon Musk regarding intellectual property.
  With that email, Marcin was putting words in my mouth. Words he knew I would not contest for obvious reasons: he was addressing the "new" owner of the company and everybody was afraid of being fired.
  I use quotes because he wasn't the new owner, he owned Twitter for decades. And he hired me there when I escaped Goldman Sachs. He couldn't let go, even if it meant his downfall and the loss of his empire.
  I would say to the owners of the circus: Learn from Elon Musk, Wilmer Ruperti and Edylberto Molina Molina. Don't make the same mistakes. Just let it go. It is that easy.
  

  But Wait, We Have More Money Than Elon Musk

  To the owners of the circus: You are probably thinking "we are not Elon Musk or Wilmer Ruperti, We have more money, more power".
  If I may share something with you. There is a law in nature, I don't know exactly what it is called, but it is a law of nature.
  What matters is not the absolute value, but the delta.
  I only had a certain amount of money in my bank account when this confilct escalated. What matters is not how much money the adversary has, but the delta between the adversary and me.
  If the delta is 5 Billion, 500 Billion, 5 Trillion, 500 Trillion, it does not matter, for all practical purposes anything above 1 Billion, from my point of view, it looks like "infinite".
  In other words, I don't think it matters much if you have 1 Billion or 100 Trillion.
  According to this law of nature, if someone who has 500 Billion usd can be arrested using the resources I have (e.g. the geo-index, SpyHELL), someone with 100 Trillions could be put in jail too.
  Or to put it in Falcon terms, if you fly 50 Falcons per day, to 500 Falcons per day above my house, it does not make a difference, it looks the same to me, and it has the same effect at this point: null.
  

  ---

• Passing Information to Law Enforcement

  [02/23/2025] The Good informant told me that the houses on Lake Pointe Estates started using pulsating infrared light to communicate.
  I haven't verified it, but I do have a camera that maybe could capture that frequency of light. Will give it a try and report back.
  If I was to guess, the houses that are probably communicating this way would be these pairs:
  • 2310 Britton Ridge Drive <----> 24927 North Point Pl
  • 2218 Britton Ridge Dr <----> 2302 Britton Ridge Dr
  • 2210 Britton Ridge Dr <----> 24927 North Point Pl
  • 24927 North Point Pl <----> 24926 North Point Pl
  • 24918 North Point Pl <----> 24927 North Point Pl
  This leads me to an important observation: The houses in the corners are particularly important for the mesh network because they serve as pivot points. For example, in this small minicluster, the node with most edges is: 24927 North Point Pl (If this house is taken out, the entire mini cluster is disabled) This explains why they took all these houses in the corners of the small community where I live:
  • 24918 North Point Pl
  • 2203 Braer Ridge Dr
  • 24802 North Point Pl
  • 24811 North Point Pl
  • 24802 Mills Lake Ct
  • 24803 Mills Lake Ct
  • 2619 Braer Ridge Dr
  • 2610 Britton Ridge Dr
  • 2610 Britton Ridge Dr
  • 2618 Britton Ridge Dr
  • 24935 Laguna Edge Dr
  • 24927 North Point Pl
  • 24906 Laguna Edge Dr
  • 24903 Laguna Edge Dr
  
  I will turn this into a signal in SpyHELL (e.g. is_corner_house) and boost the scores accordingly.
  Related to this: I figured this early on but I don't think I ever shared it:
  The paramilitary scores correlate with different things, I imagine, factors they used in the encoder to mark the properties.
  Here are some of the factors that show positive correlation with the Paramilitary scores:
  • Averge income of the zip code
  • Last "sold" price known for the property, or property tax assesment.
  • Number of followers of the personality living in the property, if applicable.
  • Hierarchical level of the individual in a Government office.
  • Hierarchical level of the individual in a Police force.
  • Hierarchical level of the individual in a Federal agency.
  • Level of access of the individual to Government funds.
  • Others that I already gave my informant to pass to law enforcement.
  Mentioning this because this allows one to tell if a person was a long time member or was recruited as part of a special operation or "emergency" declared by the PayPal Union.
  For example, some of the houses at the small subdivision where I live (Lake Pointe Estates) have a relatively high paramilitary scores, which would correlate well with the prices of those hoses. But there are other houses that despite being "multi-million dollar houses" (on Phil Denning's own words), the paramilitary scores are very low (3 points). This tells me these were last minute acquisitions in a moment of desperation.
  These individuals that are not long time members, are most likely to talk to and collaborate with law enforcement.
  

  ---

• Shield Capital, Raj Shah, John Serafini, Michael Brown, Phip Bilden, Joe Pignato and Gen. Dan Caine: All Are Flagged In Elon Musk's Geo-index

  I double checked the pipeline findings manually using SpyHELL, all checked out, all are marked with paramiliritary scores in Elon Musk's geo-index.
  They were co-clustered with: KKR, Blackrock, Shervin Pishevar and John Utendahl.
  

  ---

• The Vaccine Against Competition

  [02/23/2025] This is something I have not mentioned before because I know how it sounds, and I know they will weaponize my comments in any way they can.
  But at the same time, I do feel like I have a responsibility to at least mention this briefly, so people and the authorities are aware of the risks, and their technical capabilities on the use of Viruses as weapons.
  It is about a series of vaccines I received over the years, that almost killed me. They were spread over the years, but they always coincided with points in time at which the conflict with the PayPal Mafia was at a high point. Some examples:
  1. When I was developing the "Monsters V1 Vaccine, circa 2014": This was around the time Pavel Shatilov (a Rusian Intelligence officer who is today the head of an intelligence research department in an University in Moscow) rented my apartment in Tribeca with my computer being inside the apartment.
     Around this time, my green card application finally progressed after years of waiting, and as part of the final stage I was ordered to go get an immigration exam with a Doctor. The closest to Google's office was an iranian doctor, he gave me a vaccine that almost killed me.
  2. When the COVID Pandemic was at full force, a friend Penelope Suarez convinced me to get Vaccinated. The side effects of that vaccine were also very strong, I felt I was going to die from the side effects.
  3. After Marcelo was born, just a few months after Elon Musk had acquired the five houses surrounding my house and moved foreign agents into those houses: My family doctor Marjorie Brussard, told me I needed to get vaccinated immediatly against certain things becuase I had a new born in the house. I went to CVS and got the vaccines she recommended. I almost died, and I am not exagerating. The reaction was so bad, that I swore I would never in my life get another vaccine ever again, I would prefer to suffer the illness itself, whatever it is.
  There was another instance, when my son Marcelo was about only 10 weeks old, and his pediatrician at Kelsey-Seybold gave him a series of vaccines.
  Immediatly after getting the vaccines Marcelo developed a wheezing sound when he inhaled. It sounded horrible, as if he could not breathe.
  We took him to the doctor immidiately.
  The doctor "diagnosed" him with having an "hemangioma", this is a rare condition that consists on a benign growth in the inner part of the larynge.
  According to the doctor, an hemangioma could grow very fast, literally she said "overnight", and asphixiate the baby without warning or time to react. She referred us to a specialist.
  We took Marcelo to the specialist, they wanted to operate on him immediatly, put him under full anesthesia and cut him open, he was only 10 weeks old.
  My father is a pediatrician, so of course, I consulted my father who was in Canada at the time.
  My father told me that he could not in good conscience tell me what to do, he told me that that was a decision only Gloria and I could make because he is our son.
  My father did warn me of that putting a 10-week old baby under anesthesia, could lead to cognitive impairements down the road. He warned me of the existence of several studies that have linked the exposure to general anesthesia before 2 years of age and learning disabilities.
  I am a logical person, I think logically, that is the way I am wired. I could see the correlation between Marcelo getting the vaccine from the pediatrician and Marcelo developing the wheezing sound literally the next day. So my position was more towards "wait and see".
  Gloria, on the other hand, as a mother had a more "play it safe" approach. She said that even if the anesthesia ended up producing a learning disability, she would rather have him to live with a disability, than to not have him at all.
  At the time, I did not even suspect the PayPal Mafia was phisically present in Katy Texas, let alone think they would have control over the entire medical system, so I did not see the connection back then.
  
  This whole hemangioma ordeal led to a very stressful situation between us as parents, I would say even sort of a confrontation.
  I remember one instance where we were walking down the park, and we were having this conversation thinking about what to do. I remember I had to put my foot down and said to Gloria: "This is not a hemangioma, it's too much of a coincidence that he got this the day after getting the vaccine. I am not going to let them put him under general anesthesia. If you feel strongly, we should both retain lawyers and let a judge decide in court."
  I had to suggest to Gloria to resolve the issue in court, imagine that.
  One intresting coincidence happened that day. As I am having this sort of argument with Gloria walking bordering the park near our house, as I am saying this thing about letting a judge decide, I turn around, and guess who was walking perhaps 15 feet behind us: Agent Sarah Priddy (the Russian FSB agent that Elon Musk moved next to our home). Kid you not.
  As these events were unfolding, the Kelsey-Seybold doctor was calling me on my cellphone very very insistently, urging me to take the baby to have the operation. In one message she expressed conern and kind of implied that I could be commiting a crime by denying the baby the healthcare he needed. She mentioned the word "authorities" in the message I believe. She didn't say she would call the authorities, but the way she phrased the message, it implied that my decision of not letting them put the 10-week old baby under general anesthesia, could have legal consequences. This of course, put even more pressure and stress on Gloria. She became physically ill from the stress she was subjected to.
  As someone famously said once, one can't connect the dot's but looking backwards.
  Knowing what I know today, and more importantly, having the geo-index created directly by Elon Musk's organization, and seeing that all the people involved and their houses and clinics are marked in this Geo-index, it is obvious to me that all this episode with the "hemangioma" had "PayPal Mafia" written all over it.
  And I can't say this enough: I am not especulating here, all the doctors involved in this episode and Sarah Priddy's house, all of their houses, are marked in the geo-index, some, even with Paramilitary scores.
  This is hard data that was not produced by me, but by Elon Musk. There is no subjectivity or especulation involved in what I am writing here.
  On the interpretative side of things: I can see the intelligent design behind it all, all these calculated moves done with the express purpose to cause us harm and put us in a situation in which we would have probably abandoned the development of the Key Opinion Leaders technology.
  It was the Union of the 80 Monkeys that are enslaving the world behind it all.
  Needless to say, if they are willing to induce a learning disability on a 10-week old human baby, just to make us (being non-significant players in the food chain) stop the research, you can imagine what other things they are capable of doing.
  

  ---

• The Union

  [02/22/2025] After I saw the possible connection between Jeff Bezos and the existence of the 9/11 memorial in New York City, I understood a couple of things. Sharing them here in case anyone out there knows someone who studies these things:
  1. The Union: I believe that what we are seeing here at the top of the Multi-level-marketing / criminal organization, is in reality: a Union, but composed of poweful individuals operating with a shared agenda to maintain power, silence disent, and supress new technologies from emerging, unless they control them.
  2. The question for an evolutionary theorist: This is a bit more abstract. I believe the question that needs to be asked is really for someone who studies evolution of species.
     In some rare ocasions throughout history, species (intelligent or not) encounter singularities, events that fundamentally change the course of evolution for their entire species. Examples: The ice age, a meteorite hiting the plantet, humans developing language skills, developing writing systems, discovering fire, discovering electricity, discvering nuclear power, etc.
     I believe the raise of the Internet was one of such evolution changing events, the only unusual situation was that a very small group of individuals (say Vladimir Putin, Xi Jinping, Ayatollah Khamenei, The PayPal mafia and a handful of others) grasped the full implications of the technology before everyone else, and they took upon themselves the role of deciding how to, and to what extent, distribute it to the rest of the population.
     To illustrate better the underlaying question, I propose a ficticious/imaginary experiment:
     Imagine a planet that is populated by a large group of primates. One day, a small group of these primates, say 80 out of 5 Billion primates, that are distributed across the planet but can communicate with each other by telepathic means, discover how to produce fire, how to harness its power and how to weaponize it (they discover they can burn objects, animals, other primates, and even the planet itself, using fire).
     The question is: What would these 80 primates do with that knowledge? Would they hand it over to the rest of population and let them use it to improve the quality of life of all the primates on that planet? - Or at the very least let them decide how to use it?
     Or, would the 80 primates use the newly discovered technology to enslave their fellow primates and rule over them for generations?
     In the current version of this experiment, the primates chose to enslave their fellow primates and created a Union to make sure no other primate ever discovers any kind of fire.
     If the Union "sees" something foreign to it that even reasembles fire: they go and steal it and burn that "monkey" down to ashes.
     This is the reason why Jeff Bezos, Elon Musk, Hugo Chavez, Putin, Xi Jinping, etc, can't stand anyone forming an union in one of their "companies", if there is even a whiff of unionizing, they go nuclear and burn them all. They'd rather shut down the company than allowing one single (real) union.
     It is because they understand the power of an organized group of indivuals. That's the second fire they discoverd and they don't want any other group to have it either.
  
  I believe this is also the only way we can figth back: organization of individuals combined with the use of technology. Without them, there is no freedom in our future.
  We need to protect Technology and the freedom of individuals to form organizations that are transparent, subject to scrutiny, regulated and operate within the law of the land.
  And of course, we have to take the "fire" and the ability to coordinate away from the 80 primates ensalving the world.
  Reinaldo Aguiar
  

  ---

• The Time The 9/11 Memorial Was Used As a Radio-frequency Eavesdropping Shield

  [02/21/2025 19:06] I'd like to start by saying that this is an observation based on the patterns we have seen before in other places. With the data I have at hand, I can only tell that is is a very convenient situation for a particular location, but I can not say that there was causality on this. I think that is something that only an accredited investigative federal agency should assess and determine if there could be any merits to think that.
  This is the observation:
  The pipeliene picked up the coordinates of the 911 Memorial in New York City, as a potential Geo-engineering feature (that is how the pipeline works, it starts by identifying the candidate geo-features, or, tiles that have been manipulated, it's less expensive computationally that way).
  
  Please note: During the period 2018-2020 I worked 200 feet away from the monument. I am very familiar with this area of New York City.
  When I looked at the satellite imagery, I recognized that the presence of the 911 memorial on the east side of the "Brookfield Place" mall, and the water being on on the west side, make the "Brookfield Place" shopping mall a location in which it would be practically impossible to intercept directional RF signals traveling East to West and West to East.
  
  So I looked at the SpyHell Output, and I see the point that is being protected and I recognize the place, I have actually been there (in that specific corner of the Mall).
  It is one of those Amazon stores that they were piloting circa 2019 that you just take the items and walk away and the store automatically charges you (no checkout process), Amazon Go I think it was called.
  The Amazon Go store in question, is no longer indexed in Google Maps, but I was at that store several times, the transactions are recorded in my Chase Credit card.
  The place is marked with Paramilitary scores of almost 700,000 points ...

  $ python3 -m spyhell \
      --scan_area \
      --latitude=40.71233164156477  \
      --longitude=-74.01547693834118 \
      --search_radius_feet=300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0    40.713   -74.0152                                  689000            78
  1    40.713   -74.0152                                  689000            78
  

  
  Side note: In that marina, next to the mall, there used to be a Luxury boat, that was always "parked" there not ever moving, for years. I don't know anything about boats, but if I was to guess, I would guess that was easily a 20 Million-dollar boat, it was very eye catching.
  I saw the boat there for almost two years because I used to have lunch every day at that food court when I was in New York, and remember always thinking to myself: "What a waste of money, who buys a boat like that and NEVER use it ... in years".
  With all I have learned during this process, it seems plausible that maybe the owners had other purposes in mind when they parked the boat there, kind of the same situation we saw with the Marina strategically placed next to the Pentagon that has a high markers density (documented before).
  
  Side note: If they do own the mall, then it means that the Buffer zone of the Goldman Sachs building is larger than we thought before (because that section of the mall aligns perfectly with 200 West and the baseball field on the north side of 200 West.

  ---

• Jackpot! WeWork!

  Properties related to Adam Neumann are marked in Elon Musk's geo-index.
  Thinking about it: it does make a lot of sense.
  We work, and all those office sharing companies, are the places that aspiring entrepeneurs tend to rent because they can't afford to buy a headquarters.
  This means: a lot of desiable "targets" concentrated in a single building composed mainly of open spaces and glass-walls/meeting rooms.
  Also, the heart of the company is a logistics engine (replace uber driver by: tenant; and replace: Uber rider by: Vacant meeting room).
  I imagine Travis Kalanick and Elon Musk used to salivate a little bit every time they thought of WeWork during those early days.
  Speaking of Jackpots: "Winning the lotery" is also a form of payment, there are examples in different countries. Trivial to trace back in some cases using SpyHELL.
  

  ---

• They Just Brought In A Helicopter! Yay!

  [02/21/2025 17:34 Central @ 29.760109084288167, -95.80736909426126] Yay! That means SpyHELL hit right on target!
  I will take this as the Board confirming the uncovering of Douglas O'Donnell (they only bring in the Helicopter when they are really really desperate).
  I am subtracting 1 life from the board.
  A quick note, in case any law enforcement agencies are watching:
  1. They are trying, they brought in the Helicopter and a plane flying on the other side of the house, both at almost the same time. It was a good plan, they were trying to confuse the microphone and see if I was playing switcharoo with the antennas (I used to do this before, instead of shutting down the network, I would shut down one of the network cards and reroute the trafic through the other antenna which is pointing on a completly different direction). This means they figured that one out already.
     I stopped doing this weeks ago though, which they would know if Elon was still "plugged". I will take that as confirmation that Elon has been unplugeged.
  They are so helpful, one just needs to know how to read'em.
  

  ---

• Douglas O'Donnell Is Marked In Elon Musk's Geo-index

  Of course. He was before the deputy commissioner for Services and Enforcement of the IRS, so the department that would investigate the information provided to the IRS via the forms 211.
  That's why they are so effective at stone-walling the Whistleblower reports, they have the person that ran the system for years.
  

  ---

• Charles P. Rettig Has Been Confirmed By Multiple Low Flying Aircraft Above My House

  On 02/21/2025 between 13:30 and and 14:30.
  

• Chamberlain Hrdlicka and Charles P. Rettig Are Marked In Elon Musk's Geo-index

  
  I imagine this is how they kill the whistleblower referrals (form 211) I have sent to the IRS.
  Please note: When they take one road, they always seem to take ALL similar roads.
  The building where Chamberlain Hrdlicka is located in Houston, is protected with the distinctive geo-features and is marked with paramilitary scores. The closest point to the centroid of the building has a score of 2.8 million points, this is on the same ballpark as the Persidential Compound in Iran, less than 25 places on the planet have paramilitary scores that high.
  This is the place.
  

  python3 -m spyhell \
      --scan_area \
      --latitude=29.75698813153599 \
      --longitude=-95.37097330385213 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  29.75690  -95.37395                                 2638000            18
  1  29.76000  -95.37120                                    2000           335
  2  29.75375  -95.37120                                   32000           360
  3  29.75320  -95.36865                                  435000           476
  

  
  

  ---

• Harvey Weinstein House Is Marked In Elon Musk's Geo-Index and Has Geo-Engineering features Comparable To Those Seen In Presidential Residences Around The World

  Harvey Weinstein 28 Beachside Ave, Westport, CT 06880
  
  

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=41.11870980623348 \
      --longitude=-73.31685927458153 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  41.11735  -73.31725                                    8000           155
  1  41.12040  -73.31670                                   24000           188
  2  41.11840  -73.32085                                  692000           337
  3  41.11700  -73.31350                                   16000           340
  4  41.11450  -73.31880                                  120000           495
  5  41.12260  -73.31995                                  920000           504
  6  41.11840  -73.32405                                 1058000           605
  7  41.11800  -73.32405                                   66000           609
  8  41.12500  -73.31725                                    4000           699
  9  41.11255  -73.31880                                 2499000           703
  

  
  

  ---

• Axioma LLC: Is Flagged In Elon Musk's Geo-index With Paramilitary Scores and Exhibits The Geo-engineering Features

  Was co-clustered with Akamai and Axioma.ru (documented on 10/09/2024). Some additional data points detected:
  (Note made by KeyOpinionLeaders: we made a copy of the subnets just in case they change them, our frozen copy can be downloaded from here).
  

  Owner: Koroto Elena Filippovna
  TIN: 7751189722
  KPP: 775101001
  PSRN: 1207700477269
  

  
  

              
   $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=55.56692975683934 \
      --longitude=37.47356674149576 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   55.56800   37.47340                                    3000           120
  1   55.56755   37.47200                                   36000           121
  2   55.56920   37.47445                                  284000           259
  3   55.56500   37.47660                                 1114000           288
  4   55.56975   37.47500                                  261000           327
  5   55.56500   37.47820                                 1137000           363
  6   55.57010   37.47095                                   12000           390
  7   55.56340   37.47200                                  292000           405
  8   55.57100   37.46770                                    3000           585
  9   55.56180   37.47135                                   12000           588
  10  55.57135   37.46820                                  144000           597
  11  55.57225   37.47500                                 1514000           599
  12  55.56500   37.48250                                    5000           603
  13  55.57180   37.47820                                   52000           616
  14  55.56700   37.46340                                   97000           641
  15  55.56115   37.47340                                   96000           644
  16  55.57400   37.47445                                    2000           789
  17  55.57390   37.47095                                   90000           793
  18  55.57440   37.47200                                   38000           838
  19  55.57555   37.47200                                  888000           965
  20  55.55760   37.47500                                  645000          1043
  

  
  And the Geo-location of Axioma.ru from the Registrar that we recorded on 10/09/2024:
  

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=56.015893 \
      --longitude=92.958994 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
      latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   56.01480   92.96045                                  125000           152
  1   56.01800   92.95940                                   16000           236
  2   56.01945   92.95610                                  108000           435
  3   56.01945   92.96205                                  141000           440
  4   56.01200   92.95725                                   81000           447
  5   56.01690   92.95195                                 4024000           453
  6   56.01800   92.96575                                   94000           482
  7   56.01600   92.95095                                    4000           502
  8   56.01530   92.95095                                  180000           506
  9   56.01530   92.96735                                  235000           525
  10  56.01060   92.95465                                  480000           649
  11  56.02300   92.96150                                   16000           807
  12  56.02390   92.95880                                    9000           892
  
  

  
  

  ---

• The House of Dr. Oz In New Jersey: Is Marked In Elon Musk's Geo-index and is Protected With Geo-Engineering Features

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=40.816555145025454 \
      --longitude=-73.98398545920936 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0   40.816933 -73.984750                                    6000            77
  1   40.817350 -73.985133                                   12000           131
  2   40.817350 -73.985200                                  742000           135
  3   40.815300 -73.983475                                    4000           146
  4   40.817000 -73.986750                                   12000           238
  5   40.817000 -73.986750                                   12000           238
  6   40.818550 -73.985200                                   12000           244
  7   40.814850 -73.986750                                  402000           300
  8   40.819000 -73.985700                                   10000           308
  9   40.817350 -73.980400                                  444000           315
  10  40.819000 -73.981450                                   32000           346
  11  40.819900 -73.985133                                    6000           384
  12  40.816350 -73.989400                                   20000           457
  13  40.813125 -73.980850                                   16000           464
  14  40.817900 -73.989380                                   10000           479
  15  40.815850 -73.978250                                  220000           490
  16  40.821050 -73.984100                                  108000           499
  17  40.818550 -73.989400                                 1387000           508
  18  40.816325 -73.977733                                   28000           528
  19  40.812067 -73.981900                                    9000           529
  20  40.816350 -73.977700                                  114000           531
  21  40.817000 -73.977700                                    3000           533
  22  40.817000 -73.977700                                    3000           533
  23  40.814000 -73.989400                                   95000           538
  24  40.814000 -73.989400                                   33000           538
  25  40.821050 -73.981450                                   72000           543
  26  40.821050 -73.980400                                 2224000           584
  27  40.815850 -73.991000                                 1060000           597
  28  40.811100 -73.985200                                  354000           614
  29  40.811100 -73.982500                                  114000           619
  30  40.811100 -73.985700                                   32000           623
  31  40.822500 -73.983450                                  908000           662
  32  40.810450 -73.984100                                  793000           678
  33  40.823200 -73.984100                                  590000           738
  34  40.824300 -73.983450                                  146000           861
  35  40.808800 -73.984100                                   12000           861
  

  
  

  ---

• JSC Terra Tech: Is Marked In Elon Musk's Geo-index with Paramilitary Scores and "Hit-to-Kill" Precision, and Has The Distinctive Geo Features

  It was co-clustered with Maxar technologies and Bidzina Ivanishvili. JSC Terra Tech might even be the real Maxar Technologies.

  $ python3 -m spyhell \
      --scan_area \
      --latitude=55.7530 \
      --longitude=37.7194 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  Using Backend: paramilitary-assets
  
   ======= 
  
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0    55.753000  37.719450                                    2000             3
  1    55.753550  37.720700                                    8000           102
  2    55.753967  37.720050                                   41000           115
  3    55.752850  37.717450                                   42000           124
  4    55.753967  37.721200                                    9000           156
  5    55.754450  37.720050                                   12000           167
  6    55.752367  37.716800                                   23000           178
  7    55.753967  37.721767                                    9000           183
  8    55.754450  37.717850                                   18000           189
  9    55.753967  37.722133                                   18000           203
  10   55.753550  37.722800                                   24000           222
  11   55.755025  37.719450                                   36000           225
  12   55.752850  37.715833                                   12000           225
  13   55.754450  37.722133                                   12000           236
  14   55.755025  37.721200                                    4000           252
  15   55.755025  37.717450                                   28000           257
  16   55.751267  37.722133                                   81000           258
  17   55.753967  37.723250                                    6000           265
  18   55.755025  37.721767                                   18000           270
  19   55.753000  37.723700                                   36000           270
  20   55.751850  37.723250                                    8000           274
  21   55.752367  37.715150                                   43000           276
  22   55.753550  37.723720                                   10000           278
  23   55.755025  37.722133                                   21000           283
  24   55.750850  37.721800                                   96000           283
  25   55.754450  37.723250                                    4000           291
  26   55.755025  37.716450                                    8000           292
  27   55.755633  37.719450                                   19000           293
  28   55.752300  37.714800                                   36000           299
  29   55.753550  37.724267                                   15000           312
  30   55.755633  37.721200                                    3000           314
  31   55.755950  37.720050                                   16000           331
  32   55.754450  37.714800                                   18000           331
  33   55.755950  37.720700                                   13000           338
  34   55.752367  37.724767                                   35000           344
  35   55.755633  37.716450                                    6000           347
  36   55.755950  37.717450                                   16000           351
  37   55.755025  37.723720                                   32000           353
  38   55.752850  37.713700                                   20000           358
  39   55.755950  37.716800                                   10000           367
  40   55.755633  37.715833                                   21000           369
  41   55.750850  37.714800                                  798000           375
  42   55.751850  37.713700                                   20000           380
  43   55.750300  37.723250                                   10000           386
  44   55.755950  37.722800                                   10000           392
  45   55.751850  37.725350                                    8000           395
  46   55.755633  37.723720                                   37000           399
  47   55.749700  37.716800                                   20000           402
  48   55.756600  37.720050                                   16000           403
  49   55.755700  37.723700                                  696000           404
  50   55.753967  37.713200                                   20000           404
  51   55.756600  37.720700                                   12000           409
  52   55.751850  37.713200                                   28000           410
  53   55.752850  37.725950                                   28000           412
  54   55.750850  37.724767                                   12000           413
  55   55.749250  37.718950                                   44000           418
  56   55.751267  37.725350                                   15000           421
  57   55.755000  37.713700                                    8000           422
  58   55.749700  37.722800                                   27000           425
  59   55.753967  37.725950                                   18000           425
  60   55.750300  37.724267                                   35000           429
  61   55.754450  37.725950                                   16000           442
  62   55.753550  37.726450                                    4000           447
  63   55.749250  37.716800                                   20000           448
  64   55.756600  37.722800                                   12000           454
  65   55.751267  37.725950                                   12000           454
  66   55.757120  37.719450                                   28000           459
  67   55.757120  37.720050                                   20000           461
  68   55.756600  37.723250                                   33000           468
  69   55.749250  37.722800                                   32000           469
  70   55.755025  37.725950                                   16000           469
  71   55.755950  37.724767                                   34000           471
  72   55.757120  37.721200                                   15000           472
  73   55.749650  37.714800                                  102000           472
  74   55.750850  37.725950                                   24000           476
  75   55.750300  37.725350                                   10000           480
  76   55.757120  37.721767                                   39000           482
  77   55.756600  37.723700                                   20000           483
  78   55.751850  37.726867                                   26000           486
  79   55.752850  37.711600                                   12000           490
  80   55.753550  37.711633                                   36000           491
  81   55.752367  37.711633                                   39000           493
  82   55.754450  37.726867                                   12000           496
  83   55.755025  37.726450                                    8000           497
  84   55.750850  37.726450                                    8000           503
  85   55.756600  37.724267                                   32000           504
  86   55.755633  37.725950                                   18000           505
  87   55.753550  37.727400                                   18000           506
  88   55.757120  37.722800                                   15000           506
  89   55.752367  37.727400                                    9000           507
  90   55.751267  37.726867                                   15000           507
  91   55.750300  37.725950                                   20000           509
  92   55.757120  37.715833                                   45000           510
  93   55.751850  37.727400                                   12000           518
  94   55.757650  37.720050                                    8000           519
  95   55.757650  37.720700                                    8000           524
  96   55.756600  37.724767                                   42000           524
  97   55.749700  37.725350                                   71000           524
  98   55.748750  37.715833                                   30000           524
  99   55.749250  37.714200                                   40000           530
  100  55.751850  37.711200                                   12000           531
  101  55.750300  37.726450                                   25000           535
  102  55.750850  37.711633                                   12000           543
  103  55.757650  37.716800                                   45000           543
  104  55.752367  37.728033                                   40000           547
  105  55.752850  37.710650                                    8000           550
  106  55.749250  37.713700                                    8000           550
  107  55.755025  37.727400                                   12000           551
  108  55.755950  37.726450                                   13000           551
  109  55.753967  37.728033                                   12000           553
  110  55.750850  37.727400                                   15000           556
  111  55.755025  37.711200                                   48000           562
  112  55.751850  37.710650                                   14000           564
  113  55.757650  37.715833                                   26000           564
  114  55.758200  37.720050                                   40000           580
  115  55.757650  37.715150                                   12000           582
  116  55.755633  37.727400                                    9000           582
  117  55.748300  37.715150                                   35000           587
  118  55.755025  37.728033                                   18000           587
  119  55.758200  37.717450                                   20000           592
  120  55.748750  37.713700                                   34000           593
  121  55.755025  37.710650                                    8000           594
  122  55.756600  37.726450                                   20000           597
  123  55.758200  37.721800                                  564000           598
  124  55.758200  37.721767                                   12000           598
  125  55.753550  37.728900                                   12000           600
  126  55.747700  37.721200                                    7000           601
  127  55.757650  37.724267                                   16000           601
  128  55.758000  37.723250                                    2000           607
  129  55.757650  37.714200                                    6000           612
  130  55.755025  37.728500                                    4000           614
  131  55.747700  37.716450                                    6000           618
  132  55.754450  37.728900                                   12000           618
  133  55.749250  37.712100                                   66000           620
  134  55.747700  37.722800                                   26000           628
  135  55.753550  37.709400                                    6000           631
  136  55.752367  37.709400                                    9000           632
  137  55.757120  37.726450                                   44000           637
  138  55.758667  37.717850                                   12000           638
  139  55.758200  37.723720                                   20000           639
  140  55.758667  37.721200                                    3000           641
  141  55.751850  37.709400                                   20000           641
  142  55.758200  37.714800                                   16000           647
  143  55.758667  37.721767                                   24000           648
  144  55.747700  37.723720                                   31000           649
  145  55.747150  37.717850                                    8000           659
  146  55.753550  37.708950                                    4000           659
  147  55.747700  37.724267                                   33000           665
  148  55.752850  37.730000                                   46000           666
  149  55.758667  37.722800                                   18000           666
  150  55.758200  37.724767                                   20000           670
  151  55.747150  37.716800                                   32000           671
  152  55.747700  37.724767                                   75000           680
  153  55.758667  37.723720                                   80000           687
  154  55.752850  37.708420                                   20000           690
  155  55.759200  37.719450                                   10000           690
  156  55.759200  37.718533                                   25000           692
  157  55.759200  37.717850                                   10000           697
  158  55.759200  37.721200                                    5000           699
  159  55.758667  37.724267                                    9000           701
  160  55.747150  37.723720                                   50000           706
  161  55.746650  37.718950                                   10000           708
  162  55.759200  37.716450                                   10000           715
  163  55.759200  37.722800                                   21000           723
  164  55.759000  37.714800                                   36000           728
  165  55.746650  37.722800                                   21000           739
  166  55.759200  37.714800                                   20000           748
  167  55.759800  37.718950                                    4000           758
  168  55.746650  37.714800                                    8000           764
  169  55.746040  37.717450                                   20000           785
  170  55.746040  37.721767                                   31000           789
  171  55.746040  37.722133                                   15000           794
  172  55.746000  37.722100                                   15000           798
  173  55.760400  37.720050                                   40000           825
  174  55.745550  37.720050                                  166000           830
  175  55.745550  37.720700                                   17000           833
  176  55.760700  37.718533                                    9000           859
  177  55.760700  37.716800                                   15000           873
  178  55.760700  37.716450                                   37000           877
  179  55.745067  37.720050                                   36000           884
  180  55.745067  37.716450                                   15000           902
  181  55.744600  37.720050                                    4000           936
  182  55.761450  37.716800                                   14000           955
  183  55.761925  37.717850                                    8000           998
  184  55.743950  37.718950                                   78000          1008
  185  55.743950  37.720700                                   28000          1011
  186  55.743950  37.721200                                    6000          1014
  187  55.762333  37.720050                                   44000          1040
  188  55.742850  37.720050                                   52000          1131
  189  55.763200  37.720050                                   12000          1136
  

  
  

  ---

• Our Systems Detected That Liana Techonologies is Manipulating Google Search Resutls for this Query: "Jason Marlin"

  The amount of resources they are pouring into this is enourmous, comparable maybe to what they do for the queries "Cancer" and "ADHD". This must be someone important for president Xi Jinping.
  I will debug this a little bit more.
  

  ---

• David Lesar Is Flagged In Elon Musk Geo Index

  
  

  ---

• The Media Pipeline Flagged: Friede Springer, Mathias Döpfner and "Politico"

  All 3 entities are marked in Elon Musk's geo-index, and were co-clustered with KKR. For readers just joining: KKR is the private equity firm of the Criminal Enterprise that was responsible for me getting the geo-index. They also hired one of my cousins in NYC as part of one their "hire the target's family" plays.
  Risking to state the obvious: I configured a Media version of the "Verticals" pipeline. I did this after I remembered this morning about SWAP'D and realized it might be a Bribery as a Service platform for journalists.
  I thought that that in the case of the Tech Industry: they overtook the industry by placing members of their organization as "CEOs" in most companies, so I figured they probably did the same thing with the Media outlets.
  Media outlets don't have CEOs in a traditional sense, they have Chief Editors and Owners.
  They are easy to spot for the pipeline, they have too many statistical anomalies, for example: have you seen a Chief Editor of a major US newspaper with only 110 connections on LinkedIn? Does that sound like a reasonable number?
  That is just one example, there at least a dozen more. The problem is that they are trying to keep a low profile while running a mass media company. It just doens't work.
  

  ---

• David Calhoun's New Hampshire Mansion Is Marked In Elon Musk's Geo-index With Paramilitary Scores and Exhibits Excellent Geo-engineering Features

  
  Property marked in Elon Musk's geo-index: 234 Garnet Hill Rd, Sunapee, NH 03782

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=43.40068969666732 \
      --longitude=-72.07051609179686 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  43.40090  -72.07265                                  534000           174
  1  43.40315  -72.07380                                   72000           381
  2  43.39820  -72.07380                                  196000           384
  3  43.39700  -72.07000                                    3000           412
  4  43.40665  -72.07050                                  127000           662
  5  43.39245  -72.07050                                  242000           915
  
  
  

  
  

  ---

• Senator Mitch McConnell's house is Marked In Elon Musk's Geo Index

  There are a lot of locations marked nearby:

  $ python3 -m spyhell \
      --scan_area \
      --latitude=38.22157797188165 \
      --longitude=-85.69212600354084 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0    38.221725 -85.691975                                   16000            21
  1    38.221725 -85.692650                                    8000            49
  2    38.221725 -85.692933                                   12000            73
  3    38.221250 -85.692933                                   12000            80
  4    38.220733 -85.691975                                   12000            95
  5    38.222350 -85.692933                                   10000           111
  6    38.222600 -85.691975                                    4000           114
  7    38.221725 -85.693525                                   16000           124
  8    38.220733 -85.693525                                   12000           154
  9    38.220200 -85.692650                                    8000           160
  10   38.222600 -85.693525                                    4000           167
  11   38.221725 -85.694100                                   16000           174
  12   38.221250 -85.694100                                   16000           177
  13   38.222350 -85.694100                                    8000           193
  14   38.220200 -85.693525                                   16000           196
  15   38.220733 -85.694100                                   12000           197
  16   38.223333 -85.692650                                    6000           200
  17   38.222600 -85.694100                                    4000           207
  18   38.219600 -85.691975                                    8000           220
  19   38.219600 -85.692650                                    4000           224
  20   38.221725 -85.694750                                    8000           230
  21   38.219600 -85.692933                                    6000           231
  22   38.220200 -85.694100                                   16000           231
  23   38.221250 -85.694750                                    8000           233
  24   38.219600 -85.693525                                    8000           251
  25   38.223875 -85.692650                                    8000           259
  26   38.221725 -85.695100                                   20000           261
  27   38.221250 -85.695100                                   20000           263
  28   38.223875 -85.692933                                   12000           265
  29   38.219100 -85.691975                                    8000           275
  30   38.220200 -85.694750                                    8000           276
  31   38.220733 -85.695100                                   15000           277
  32   38.219100 -85.692650                                    4000           279
  33   38.219100 -85.692933                                    6000           284
  34   38.222600 -85.695100                                    5000           284
  35   38.220200 -85.695100                                   20000           302
  36   38.223875 -85.694100                                   16000           308
  37   38.221725 -85.695650                                   24000           309
  38   38.221250 -85.695650                                   24000           311
  39   38.222350 -85.695650                                   12000           320
  40   38.224400 -85.692933                                   15000           321
  41   38.220733 -85.695650                                   18000           323
  42   38.219100 -85.694100                                    8000           325
  43   38.223333 -85.695100                                   15000           325
  44   38.222600 -85.695650                                    6000           329
  45   38.218600 -85.691975                                   20000           331
  46   38.218600 -85.692933                                   15000           338
  47   38.219600 -85.695100                                   14000           341
  48   38.220200 -85.695650                                   24000           344
  49   38.218600 -85.693525                                   20000           353
  50   38.221725 -85.696175                                   16000           355
  51   38.221250 -85.696175                                   16000           356
  52   38.219100 -85.694750                                    4000           358
  53   38.222350 -85.696175                                    8000           365
  54   38.223333 -85.695650                                   18000           365
  55   38.220733 -85.696175                                   12000           367
  56   38.222600 -85.696175                                    4000           372
  57   38.219100 -85.695100                                   10000           379
  58   38.219600 -85.695650                                   12000           379
  59   38.225000 -85.691975                                    4000           380
  60   38.218100 -85.691975                                   16000           386
  61   38.225000 -85.692933                                    3000           386
  62   38.218100 -85.692650                                    8000           389
  63   38.218100 -85.692933                                   12000           392
  64   38.221250 -85.696650                                   16000           398
  65   38.223875 -85.695650                                   24000           400
  66   38.218600 -85.694750                                   10000           403
  67   38.222350 -85.696650                                    8000           405
  68   38.218100 -85.693525                                   16000           405
  69   38.223333 -85.696175                                   12000           405
  70   38.224400 -85.695100                                   25000           407
  71   38.220733 -85.696650                                   12000           407
  72   38.225000 -85.694100                                    4000           417
  73   38.218600 -85.695100                                   25000           421
  74   38.218100 -85.694100                                   16000           423
  75   38.225400 -85.691975                                    8000           424
  76   38.220200 -85.696650                                   16000           425
  77   38.225400 -85.692933                                    6000           430
  78   38.223875 -85.696175                                   16000           437
  79   38.224400 -85.695650                                   30000           440
  80   38.223333 -85.696650                                   12000           441
  81   38.217650 -85.692933                                    6000           442
  82   38.221725 -85.697233                                   12000           448
  83   38.219100 -85.696175                                    8000           449
  84   38.218100 -85.694750                                    8000           449
  85   38.218600 -85.695650                                   30000           452
  86   38.217650 -85.693525                                    8000           453
  87   38.219600 -85.696650                                    8000           453
  88   38.222350 -85.697233                                    6000           455
  89   38.220733 -85.697233                                    9000           457
  90   38.225400 -85.694100                                   16000           458
  91   38.222600 -85.697233                                    3000           461
  92   38.225000 -85.695100                                   11000           461
  93   38.223875 -85.696650                                   16000           471
  94   38.224400 -85.696175                                   20000           473
  95   38.220200 -85.697233                                   12000           473
  96   38.225400 -85.694750                                    4000           482
  97   38.218600 -85.696175                                   20000           485
  98   38.223333 -85.697233                                    9000           488
  99   38.226000 -85.692650                                   10000           493
  100  38.217650 -85.694750                                    4000           493
  101  38.221250 -85.697750                                  160000           494
  102  38.218100 -85.695650                                   24000           494
  103  38.221250 -85.697750                                   24000           494
  104  38.226000 -85.692933                                   15000           496
  105  38.219600 -85.697233                                    6000           498
  106  38.220733 -85.697750                                   18000           501
  107  38.217067 -85.691975                                   12000           501
  108  38.217067 -85.692650                                    6000           503
  109  38.224400 -85.696650                                   20000           505
  110  38.226000 -85.693525                                   20000           506
  111  38.217067 -85.692933                                    9000           506
  112  38.223875 -85.697233                                   12000           515
  113  38.218600 -85.696650                                   20000           516
  114  38.226000 -85.694100                                   20000           520
  115  38.225000 -85.696175                                    4000           520
  116  38.223333 -85.697750                                   18000           530
  117  38.217067 -85.694100                                   12000           530
  118  38.217650 -85.695650                                   12000           534
  119  38.221725 -85.698350                                    8000           545
  120  38.225000 -85.696650                                    4000           549
  121  38.226533 -85.691975                                   12000           550
  122  38.222350 -85.698350                                    4000           552
  123  38.225400 -85.696175                                    8000           553
  124  38.218100 -85.696650                                   16000           553
  125  38.226533 -85.692933                                    9000           555
  126  38.223875 -85.697750                                   24000           555
  127  38.226000 -85.695100                                   25000           556
  128  38.226000 -85.695100                                   35000           556
  129  38.220200 -85.698350                                    8000           566
  130  38.226533 -85.694100                                   12000           577
  131  38.226000 -85.695650                                   30000           580
  132  38.216367 -85.692650                                    6000           580
  133  38.221725 -85.698825                                   16000           587
  134  38.221250 -85.698825                                   16000           588
  135  38.220733 -85.698825                                   12000           594
  136  38.226933 -85.691975                                   12000           595
  137  38.222600 -85.698825                                    4000           597
  138  38.226933 -85.692933                                    9000           599
  139  38.227000 -85.691950                                   32000           602
  140  38.226933 -85.693525                                   12000           607
  141  38.226533 -85.695100                                   15000           609
  142  38.226933 -85.694750                                    6000           637
  143  38.215850 -85.692650                                    4000           637
  144  38.215850 -85.692933                                    6000           640
  145  38.215850 -85.694100                                    8000           659
  146  38.227580 -85.691975                                   20000           666
  147  38.227580 -85.692650                                   10000           668
  148  38.227580 -85.693525                                   20000           677
  149  38.215350 -85.692650                                    4000           693
  150  38.215350 -85.693525                                    8000           702
  151  38.228150 -85.691975                                    8000           730
  152  38.228150 -85.692650                                    4000           731
  153  38.228150 -85.692933                                    6000           733
  154  38.214950 -85.691975                                   16000           736
  155  38.214950 -85.692650                                    8000           737
  156  38.228150 -85.693525                                    8000           740
  157  38.228533 -85.692650                                    6000           773
  158  38.214300 -85.691975                                   16000           808
  159  38.229000 -85.691975                                    4000           824
  160  38.213750 -85.691975                                    8000           869
  
  

• Ben Horowitz is Flagged in Elon Musk's geo-index

  
  Address marked in Elon's geo-index: 171 Selby Ln, Atherton, CA 94027
  Related: This timeline event: "The Acquisition of Opsware By HP" was co-clustered with this observation. Many of the entities and individuals that, according to public sources, played a role in the acquisition are marked in Elon Musk's geo-index as well.

        
  $ python3 -m spyhell \
      --scan_area \
      --latitude=37.45719784291521 \
      --longitude=-122.21846685020655 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0    37.457225   -122.219                                    8000            47
  1    37.456633   -122.219                                    3000            78
  2    37.456133   -122.218                                    3000           125
  3    37.456133   -122.219                                    3000           127
  4    37.457225   -122.217                                    4000           130
  5    37.457225   -122.220                                    4000           136
  6    37.456633   -122.217                                    6000           144
  7    37.456633   -122.220                                    3000           149
  8    37.455650   -122.218                                   11000           177
  9    37.455650   -122.219                                    4000           178
  10   37.458767   -122.218                                    3000           179
  11   37.456133   -122.220                                    3000           180
  12   37.458767   -122.219                                    3000           180
  13   37.458767   -122.217                                    3000           217
  14   37.457225   -122.216                                    4000           218
  15   37.455650   -122.220                                    4000           219
  16   37.458767   -122.220                                    6000           221
  17   37.457225   -122.221                                    4000           224
  18   37.456633   -122.216                                    3000           227
  19   37.456633   -122.221                                    3000           233
  20   37.459333   -122.218                                    3000           241
  21   37.459333   -122.219                                    3000           242
  22   37.456133   -122.216                                    3000           248
  23   37.456133   -122.221                                    3000           253
  24   37.459333   -122.217                                    3000           270
  25   37.455650   -122.216                                    4000           278
  26   37.458767   -122.216                                    3000           279
  27   37.455650   -122.221                                    4000           282
  28   37.458767   -122.221                                    3000           284
  29   37.454500   -122.218                                    3000           302
  30   37.454500   -122.219                                    3000           303
  31   37.459900   -122.218                                    3000           303
  32   37.457225   -122.215                                    4000           307
  33   37.457225   -122.222                                    4000           313
  34   37.456633   -122.215                                    3000           313
  35   37.456633   -122.222                                    3000           319
  36   37.459333   -122.216                                    3000           322
  37   37.459333   -122.221                                    3000           326
  38   37.454500   -122.217                                    3000           326
  39   37.459900   -122.217                                    3000           327
  40   37.459900   -122.220                                    3000           329
  41   37.454500   -122.220                                    3000           329
  42   37.456133   -122.215                                    3000           329
  43   37.456133   -122.222                                    3000           334
  44   37.460300   -122.218                                    8000           347
  45   37.460300   -122.219                                    6000           348
  46   37.455650   -122.215                                    4000           352
  47   37.458767   -122.215                                    3000           353
  48   37.455650   -122.222                                    4000           357
  49   37.458767   -122.222                                    3000           358
  50   37.460300   -122.217                                    3000           368
  51   37.460300   -122.220                                    3000           370
  52   37.454500   -122.216                                    3000           371
  53   37.454500   -122.221                                    3000           374
  54   37.459900   -122.221                                    3000           374
  55   37.459333   -122.222                                    3000           392
  56   37.457225   -122.214                                    4000           395
  57   37.456633   -122.214                                    3000           400
  58   37.457225   -122.223                                    4000           401
  59   37.456633   -122.223                                    3000           406
  60   37.460300   -122.216                                    6000           408
  61   37.460300   -122.221                                    3000           411
  62   37.456133   -122.214                                    7000           412
  63   37.453500   -122.218                                    3000           412
  64   37.453500   -122.219                                    3000           413
  65   37.460900   -122.219                                    5000           414
  66   37.456133   -122.223                                    3000           418
  67   37.454500   -122.215                                    3000           429
  68   37.459900   -122.215                                    6000           429
  69   37.453500   -122.217                                    3000           430
  70   37.460900   -122.217                                    5000           431
  71   37.458767   -122.214                                    3000           432
  72   37.453500   -122.220                                    3000           432
  73   37.459900   -122.222                                    3000           433
  74   37.454500   -122.222                                    3000           433
  75   37.460900   -122.220                                    5000           433
  76   37.455650   -122.223                                    4000           436
  77   37.458767   -122.223                                    3000           437
  78   37.459333   -122.214                                    3000           461
  79   37.460300   -122.215                                    3000           461
  80   37.460300   -122.222                                    3000           465
  81   37.453025   -122.218                                    4000           465
  82   37.460900   -122.216                                    5000           465
  83   37.453500   -122.216                                    7000           465
  84   37.459333   -122.223                                    3000           466
  85   37.453025   -122.219                                    4000           466
  86   37.453500   -122.221                                    3000           468
  87   37.460900   -122.221                                    5000           468
  88   37.461450   -122.219                                    4000           474
  89   37.461450   -122.218                                    4000           474
  90   37.453025   -122.217                                    4000           481
  91   37.453025   -122.220                                    4000           483
  92   37.457225   -122.213                                    4000           484
  93   37.456633   -122.213                                    3000           488
  94   37.461450   -122.217                                    4000           489
  95   37.457225   -122.224                                    4000           490
  96   37.461450   -122.220                                    4000           491
  97   37.456633   -122.224                                    3000           494
  98   37.459900   -122.214                                    3000           496
  99   37.454500   -122.214                                    3000           496
  100  37.456133   -122.213                                    3000           498
  101  37.454500   -122.223                                    3000           501
  102  37.459900   -122.223                                    3000           501
  103  37.456133   -122.224                                    3000           504
  104  37.453050   -122.221                                  196000           512
  105  37.453500   -122.215                                    7000           512
  106  37.455650   -122.213                                    8000           513
  107  37.460900   -122.215                                    5000           513
  108  37.458767   -122.213                                    3000           514
  109  37.453025   -122.221                                    4000           515
  110  37.453500   -122.222                                    3000           516
  111  37.460900   -122.222                                    5000           516
  112  37.458700   -122.224                                   36000           517
  113  37.455650   -122.224                                    4000           519
  114  37.458767   -122.224                                    3000           520
  115  37.452525   -122.218                                    4000           520
  116  37.461450   -122.216                                    4000           520
  117  37.452525   -122.219                                    4000           521
  118  37.461450   -122.221                                    4000           522
  119  37.460300   -122.214                                    3000           524
  120  37.460300   -122.223                                    3000           529
  121  37.452550   -122.217                                    4000           532
  122  37.452525   -122.217                                    4000           535
  123  37.452525   -122.220                                    4000           536
  124  37.459333   -122.213                                    3000           539
  125  37.459333   -122.224                                    3000           544
  126  37.453025   -122.222                                    4000           559
  127  37.452525   -122.216                                    4000           563
  128  37.461450   -122.215                                    4000           563
  129  37.452525   -122.221                                    4000           565
  130  37.461450   -122.222                                    4000           566
  131  37.457225   -122.212                                    4000           572
  132  37.456633   -122.212                                    3000           576
  133  37.457225   -122.225                                    4000           578
  134  37.456633   -122.225                                    3000           581
  135  37.456133   -122.212                                    3000           584
  136  37.456133   -122.225                                    3000           590
  137  37.462500   -122.219                                    5000           590
  138  37.462500   -122.218                                    8000           590
  139  37.462500   -122.217                                    5000           603
  140  37.462500   -122.220                                    5000           604
  141  37.462500   -122.216                                    5000           628
  142  37.462500   -122.221                                    5000           630
  143  37.462967   -122.219                                    3000           642
  144  37.462967   -122.217                                    3000           653
  145  37.462967   -122.220                                    3000           654
  146  37.457225   -122.211                                    4000           661
  147  37.457225   -122.226                                    4000           667
  148  37.450733   -122.219                                    6000           719
  149  37.450733   -122.218                                    9000           719
  150  37.450733   -122.217                                    3000           729
  151  37.449850   -122.219                                    4000           817
  152  37.449850   -122.218                                    4000           817
  
  
  
  
  
  

  
  

  ---

• Our Systems Detected That Liana Techonologies Is Heavily Manipulating this Google Search Query: "Jason Fine"

  
  

  ---

• EMMA TUCKER, DANIEL TUCKER, ELYSA BETH WOLFE, Kirill Luginin Are Flagged In Elon Musk's Geo Index

  
  Two properties/units: 80 COLUMBUS CIRCLE, MANHATTAN, NEW YORK CITY: Units NT75C and NT75E.
  The pipeline also picked up a lawsuit that could be related: " Kirill Luginin v. Mandarin Oriental (New York) Inc., Andreas Ad Llc, Andreas Alkiviades Llc, David R Rea, Myriad Construction Services, Inc., The North Tower Resdential Board Of Time Warner Center Condominium, Mandarin Oriental Hotel Group, Residences At Mandarin Oriental (Management), Llc".
  Some debug output from the pipeline:

  $ python3 -m print_candidate_entities \
      c1q033a5c1Ya03s972Ha01 \n
      --unformatted \
      --hide_signals \
      --hide_debug
  
  ANDREAS ALKIVIADES LLC  
  
  DANIEL TUCKER
  Attorney
  
  WOLFE, ELYSA BETH
  Attorney for the Defendant
  
  Kirill Luginin
  
  DANIEL TUCKER
  Attorney
  
  WOLFE, ELYSA BETH
  Attorney for the Defendant
  
  Kirill Luginin
  Plaintiff
  
  
  Andreas Ad LLC
  Defendant
  
  Andreas Alkiviades LLC
  Defendant
  
  David R Rea
  Defendant
  
  DEVORA, GLEN
  Attorney for the Plaintiff
  
  GOLDENBERG, MICHAEL SCOTT
  Attorney for the Defendant
  
  Kirill Luginin
  Plaintiff
  
  MANDARIN ORIENTAL HOTEL GROUP
  Defendant
  
  Mandarin Oriental (New York) Inc.
  Defendant
  
  MAZZUCHIN, ROBERT S.
  Attorney for the Defendant
  
  Myriad Construction Services, Inc.
  Defendant
  
  PREZIOSO, RICHARD C
  Attorney for the Defendant
  
  RESIDENCES AT MANDARIN ORIENTAL (MANAGEMENT), LLC
  Defendant
  
  TARSHIS, ROBERTA E
  Attorney for the Defendant
  
  THE NORTH TOWER RESDENTIAL BOARD OF TIME WARNER CENTER CONDOMINIUM
  Defendant
  
  WOLFE, ELYSA BETH
  Attorney for the Defendant
  
  DANIEL TUCKER
  Attorney
  
  MEGAN HARRIS
  Attorney
  
  

• ObrasNuevas.com and the Duplex of Luis Rubiales: Both Are Flagged in Elon Musk's geo-index

  ObrasNuevas.com was co-clustered with Kijiji, Craigslist and OLX. It's the same application of 2006, just with a different skin on top.
  

  ---

• The New York State Executive Mansion: Is Flagged In Elon Musk's Geo-index With Paramilitary Scores and Is Protected With Geo-features

  Russel SImmons did a good job with this one, discrete but killer features.
  
  

  $ python3 -m spyhell \m spyhell \
      --scan_area \
      --latitude=42.64650348228494 \
      --longitude=-73.76104473587975 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0    42.646333 -73.760700                                    9000            34
  1    42.646900 -73.761367                                   45000            51
  2    42.646333 -73.760200                                    6000            72
  3    42.645825 -73.760700                                   12000            80
  4    42.646900 -73.760200                                    8000            82
  5    42.645825 -73.761800                                   24000            98
  6    42.645825 -73.760200                                    8000           102
  7    42.646333 -73.759800                                    6000           104
  8    42.646900 -73.759800                                   16000           111
  9    42.645825 -73.759800                                    8000           127
  10   42.645250 -73.761367                                   24000           142
  11   42.645250 -73.760700                                   12000           142
  12   42.645250 -73.760200                                    8000           156
  13   42.646333 -73.759100                                   15000           161
  14   42.647950 -73.761367                                  164000           163
  15   42.646900 -73.759100                                   20000           165
  16   42.645250 -73.759800                                    8000           173
  17   42.645825 -73.759100                                   20000           176
  18   42.648000 -73.761800                                   24000           177
  19   42.647425 -73.759100                                   20000           190
  20   42.644733 -73.760700                                    9000           199
  21   42.646333 -73.758550                                    6000           205
  22   42.644733 -73.761800                                   33000           206
  23   42.644733 -73.760200                                    6000           208
  24   42.646900 -73.758550                                    8000           209
  25   42.645250 -73.759100                                   20000           212
  26   42.644733 -73.759800                                    6000           222
  27   42.647425 -73.758550                                    8000           229
  28   42.646333 -73.758167                                    9000           237
  29   42.646900 -73.758167                                   12000           240
  30   42.645825 -73.763900                                  171000           246
  31   42.645250 -73.758550                                   20000           247
  32   42.645825 -73.758167                                   12000           248
  33   42.644250 -73.761367                                   45000           252
  34   42.644250 -73.760700                                   12000           252
  35   42.644733 -73.759100                                   15000           253
  36   42.647425 -73.758167                                   12000           257
  37   42.644250 -73.760200                                    8000           260
  38   42.644250 -73.759800                                    8000           270
  39   42.648950 -73.760700                                   39000           273
  40   42.646333 -73.757600                                   12000           283
  41   42.644733 -73.758550                                    6000           284
  42   42.646900 -73.757600                                   16000           286
  43   42.645825 -73.757600                                   16000           292
  44   42.644250 -73.759100                                   20000           297
  45   42.644733 -73.758167                                    9000           307
  46   42.648600 -73.763500                                  121000           308
  47   42.643725 -73.761367                                   24000           310
  48   42.643725 -73.760700                                   12000           310
  49   42.645250 -73.757600                                   16000           315
  50   42.643725 -73.760200                                    8000           316
  51   42.644250 -73.758550                                    8000           323
  52   42.647950 -73.757600                                   48000           325
  53   42.646333 -73.757050                                   12000           328
  54   42.646900 -73.757050                                   16000           331
  55   42.649500 -73.761367                                   15000           334
  56   42.645825 -73.757050                                   16000           336
  57   42.649500 -73.761800                                   42000           339
  58   42.643725 -73.762800                                   20000           341
  59   42.644733 -73.764450                                   28000           342
  60   42.644250 -73.763900                                   21000           343
  61   42.647425 -73.757050                                   16000           343
  62   42.644250 -73.758167                                   12000           344
  63   42.644733 -73.757600                                   12000           344
  64   42.643725 -73.759100                                   20000           347
  65   42.645250 -73.757050                                   16000           356
  66   42.648950 -73.763900                                    6000           359
  67   42.643725 -73.763500                                   12000           369
  68   42.643725 -73.758550                                    8000           370
  69   42.643167 -73.760700                                   19000           372
  70   42.646333 -73.756500                                   12000           373
  71   42.644733 -73.764925                                   28000           374
  72   42.646900 -73.756500                                   16000           375
  73   42.643167 -73.761800                                   30000           376
  74   42.644250 -73.757600                                   16000           377
  75   42.645825 -73.756500                                   16000           380
  76   42.644733 -73.757050                                   12000           382
  77   42.643167 -73.759800                                   14000           384
  78   42.643725 -73.763900                                   24000           387
  79   42.643725 -73.758167                                   12000           389
  80   42.649500 -73.763500                                   15000           389
  81   42.648950 -73.764450                                    8000           390
  82   42.648600 -73.764925                                   12000           394
  83   42.645250 -73.756500                                   16000           398
  84   42.643167 -73.759100                                   15000           404
  85   42.647950 -73.756500                                   48000           406
  86   42.650050 -73.762267                                   48000           407
  87   42.649500 -73.763900                                   15000           407
  88   42.646333 -73.756050                                   12000           410
  89   42.642800 -73.761367                                    3000           412
  90   42.644250 -73.757050                                   32000           412
  91   42.645825 -73.756050                                   16000           416
  92   42.643725 -73.764450                                   16000           416
  93   42.642800 -73.761800                                    3000           416
  94   42.648950 -73.764925                                    8000           418
  95   42.643725 -73.757600                                   16000           418
  96   42.650050 -73.762800                                   20000           419
  97   42.643167 -73.763500                                    9000           422
  98   42.643167 -73.758550                                    6000           423
  99   42.642800 -73.762267                                   12000           423
  100  42.648600 -73.765450                                   12000           430
  101  42.645250 -73.756050                                   16000           433
  102  42.642800 -73.762800                                    5000           436
  103  42.643167 -73.763900                                    9000           438
  104  42.643167 -73.758167                                    9000           439
  105  42.644250 -73.765450                                   48000           440
  106  42.642800 -73.759100                                    7000           441
  107  42.650050 -73.763500                                   12000           442
  108  42.643725 -73.764925                                   32000           443
  109  42.644250 -73.756500                                   16000           449
  110  42.644733 -73.766000                                   35000           451
  111  42.646333 -73.755550                                    6000           451
  112  42.648950 -73.765450                                    8000           452
  113  42.646900 -73.755550                                    8000           453
  114  42.644733 -73.756050                                   12000           454
  115  42.645825 -73.755550                                    8000           457
  116  42.650050 -73.763900                                   12000           458
  117  42.649500 -73.764925                                   20000           460
  118  42.647425 -73.766520                                   40000           461
  119  42.650575 -73.762267                                   12000           463
  120  42.643167 -73.764450                                   12000           464
  121  42.643167 -73.757600                                   12000           466
  122  42.648600 -73.766000                                   67000           468
  123  42.645250 -73.755550                                    8000           472
  124  42.642800 -73.763900                                    6000           473
  125  42.642800 -73.758167                                    7000           474
  126  42.644250 -73.766000                                   20000           477
  127  42.644250 -73.756050                                   16000           480
  128  42.650050 -73.764450                                   16000           483
  129  42.643725 -73.756500                                   16000           484
  130  42.650050 -73.757600                                   48000           485
  131  42.648950 -73.766000                                   10000           489
  132  42.643167 -73.764925                                   12000           489
  133  42.642100 -73.761367                                    9000           490
  134  42.642100 -73.760700                                    9000           490
  135  42.649500 -73.765450                                   20000           491
  136  42.642100 -73.761800                                    9000           493
  137  42.642100 -73.760200                                    6000           494
  138  42.650575 -73.763500                                   12000           495
  139  42.643167 -73.757050                                   12000           495
  140  42.642800 -73.764450                                    4000           497
  141  42.642100 -73.762267                                    9000           499
  142  42.642100 -73.759800                                    6000           500
  143  42.649500 -73.756500                                   88000           500
  144  42.646333 -73.754933                                    9000           502
  145  42.651000 -73.761800                                    6000           503
  146  42.650050 -73.764925                                   16000           506
  147  42.648600 -73.766520                                   31000           506
  148  42.645825 -73.754933                                   12000           507
  149  42.651000 -73.762267                                    6000           509
  150  42.650575 -73.763900                                   12000           509
  151  42.642100 -73.762800                                   15000           510
  152  42.647425 -73.754933                                   48000           512
  153  42.643725 -73.756050                                   16000           513
  154  42.644250 -73.766520                                   35000           514
  155  42.642100 -73.759100                                   15000           515
  156  42.644250 -73.755550                                    8000           515
  157  42.643167 -73.765450                                   12000           518
  158  42.642800 -73.764925                                    4000           520
  159  42.651000 -73.762800                                   10000           520
  160  42.645250 -73.754933                                   12000           520
  161  42.649500 -73.766000                                   25000           525
  162  42.648950 -73.766520                                   10000           525
  163  42.643167 -73.756500                                   12000           526
  164  42.648950 -73.755550                                    4000           526
  165  42.642800 -73.757050                                    4000           526
  166  42.642100 -73.763500                                    9000           529
  167  42.650575 -73.764450                                   16000           532
  168  42.641700 -73.761367                                    3000           534
  169  42.641700 -73.760700                                    3000           534
  170  42.644733 -73.767100                                    9000           534
  171  42.650050 -73.765450                                   16000           535
  172  42.641700 -73.761800                                    3000           537
  173  42.641700 -73.760200                                    2000           538
  174  42.644733 -73.754933                                    9000           538
  175  42.651000 -73.763500                                    6000           539
  176  42.650050 -73.756500                                   32000           542
  177  42.642100 -73.763900                                    9000           542
  178  42.642100 -73.758167                                   15000           543
  179  42.641700 -73.759800                                    2000           543
  180  42.641700 -73.762267                                    3000           543
  181  42.643725 -73.755550                                    8000           546
  182  42.642800 -73.765450                                    4000           548
  183  42.651000 -73.758300                                    5000           548
  184  42.648600 -73.767100                                    9000           548
  185  42.643167 -73.766000                                   15000           550
  186  42.643167 -73.756050                                   12000           552
  187  42.651000 -73.763900                                    6000           552
  188  42.650575 -73.764925                                   16000           553
  189  42.641700 -73.762800                                    5000           553
  190  42.645825 -73.754350                                   56000           554
  191  42.642800 -73.756500                                    4000           555
  192  42.644250 -73.767100                                   12000           556
  193  42.641700 -73.759100                                    5000           557
  194  42.644733 -73.767400                                    7000           557
  195  42.647425 -73.754350                                   72000           558
  196  42.649500 -73.766520                                   25000           559
  197  42.649500 -73.755550                                   10000           560
  198  42.644250 -73.754933                                   12000           560
  199  42.642100 -73.764450                                   12000           563
  200  42.642100 -73.757600                                   12000           565
  201  42.650050 -73.766000                                   20000           566
  202  42.645250 -73.754350                                   16000           566
  203  42.648950 -73.767100                                    6000           566
  204  42.641700 -73.763500                                    3000           570
  205  42.648950 -73.754933                                    6000           570
  206  42.641700 -73.758550                                    2000           571
  207  42.647950 -73.754350                                   79000           572
  208  42.651650 -73.761367                                   36000           572
  209  42.651650 -73.760700                                   74000           572
  210  42.650575 -73.765450                                   16000           579
  211  42.651650 -73.762267                                   18000           580
  212  42.651650 -73.759800                                   24000           581
  213  42.641700 -73.758167                                    3000           583
  214  42.644733 -73.754350                                   12000           583
  215  42.642100 -73.764925                                   12000           584
  216  42.642100 -73.757050                                   12000           589
  217  42.651000 -73.764925                                    8000           592
  218  42.645250 -73.768100                                   16000           595
  219  42.647950 -73.768100                                   19000           600
  220  42.645250 -73.753925                                   16000           600
  221  42.641700 -73.764450                                    4000           602
  222  42.651650 -73.763500                                   18000           606
  223  42.641033 -73.761367                                    9000           608
  224  42.641033 -73.760700                                    9000           608
  225  42.641033 -73.761800                                    9000           611
  226  42.641033 -73.760200                                    6000           612
  227  42.641033 -73.759800                                    6000           616
  228  42.641033 -73.762267                                    9000           616
  229  42.651650 -73.763900                                   18000           618
  230  42.641033 -73.762800                                   15000           624
  231  42.645825 -73.768625                                  262000           626
  232  42.641033 -73.759100                                   15000           628
  233  42.647000 -73.753350                                  164000           633
  234  42.651650 -73.764450                                   24000           636
  235  42.641033 -73.763500                                    9000           640
  236  42.641033 -73.758550                                    6000           641
  237  42.641033 -73.763900                                    9000           651
  238  42.641033 -73.758167                                    9000           652
  239  42.640600 -73.761367                                    6000           656
  240  42.640600 -73.760700                                    6000           656
  241  42.640600 -73.760200                                    4000           659
  242  42.640600 -73.761800                                    6000           659
  243  42.640600 -73.762267                                    6000           663
  244  42.640600 -73.759800                                    4000           664
  245  42.640600 -73.762800                                   10000           671
  246  42.640600 -73.759100                                   10000           675
  247  42.652675 -73.761367                                   12000           686
  248  42.652675 -73.760700                                   20000           686
  249  42.640600 -73.763500                                    6000           686
  250  42.640600 -73.758550                                    4000           687
  251  42.652675 -73.761800                                   12000           688
  252  42.652675 -73.762267                                   12000           693
  253  42.652675 -73.762800                                   20000           701
  254  42.640100 -73.760700                                   12000           712
  255  42.640100 -73.761800                                   12000           714
  256  42.640100 -73.760200                                    8000           715
  257  42.640100 -73.762267                                   12000           718
  258  42.640100 -73.759800                                    8000           719
  259  42.640100 -73.762800                                   20000           726
  260  42.640100 -73.759100                                   20000           729
  261  42.653250 -73.761367                                   18000           750
  262  42.653250 -73.761800                                   18000           752
  263  42.653250 -73.760200                                   12000           753
  264  42.653250 -73.759800                                   90000           756
  265  42.653250 -73.762267                                   18000           756
  266  42.653250 -73.762800                                   30000           763
  267  42.639450 -73.761367                                    6000           784
  268  42.639450 -73.760700                                    6000           784
  269  42.639450 -73.761800                                    6000           786
  270  42.639450 -73.760200                                    4000           787
  271  42.639450 -73.759800                                    4000           790
  272  42.639450 -73.762267                                    6000           790
  273  42.653700 -73.761367                                    9000           800
  274  42.653700 -73.760700                                    9000           800
  275  42.653700 -73.761800                                    9000           802
  276  42.653700 -73.759800                                   42000           806
  277  42.653700 -73.762267                                    9000           806
  278  42.639100 -73.761367                                    3000           823
  279  42.639100 -73.760700                                    3000           823
  280  42.639100 -73.760200                                    2000           825
  281  42.654333 -73.761367                                    9000           870
  282  42.654333 -73.760700                                    9000           870
  283  42.638450 -73.761367                                   18000           895
  284  42.638450 -73.760700                                   18000           895
  285  42.654700 -73.761367                                    3000           911
  286  42.654700 -73.760700                                    3000           911
  

  
  

  ---

• The Johns Hopkins Applied Physics Laboratory APL: Is Flagged In Elon's Musk Geo-index With Paramilitary Scores and Has Been Immunized

  One anomaly that came up that I have not seen before: Google Maps thinks that there is no way to get to the park next to building by walking, this is strange. Readers can verify by asking Google for walking directions from 39.16375776944602, -76.89646046007283 to 39.16359971741215, -76.89849893890288.
  The result comes back as an strange loop around the building. Hard to know without phisically going there to check if pass to the green area is indeed restricted, or if it is a data problem in Google Maps, and if it is, if it was introduced there intentionally or is just a coincidence.
  
  

  $ python3 -m spyhell \
      --scan_area \
      --latitude=39.16369367894396  \
      --longitude=-76.89670007407653 \
      --search_radius_feet=2300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  39.16365  -76.89850                                   80000           156
  1  39.16365  -76.89335                                  158000           290
  2  39.16700  -76.89690                                    3000           367
  3  39.16000  -76.89540                                    3000           425
  4  39.16000  -76.89910                                   15000           460
  5  39.16850  -76.89645                                   89000           534
  6  39.16465  -76.90280                                  889000           538
  7  39.16365  -76.88865                                  285000           696
  8  39.15740  -76.89600                                  156000           701
  
  
  
  
  
  

  
  

  ---

• The Cessna Pilot Is Being Rude

  [02/20/2025 @ 12h21] Since the pilot was flying at such a low altitude over my antena at around 12h16, I waved at him, I think he saw me but he did not wave back.
  Have some manners guys!
  There is an interesting observation picked up by the pipeline, below in the following entry.
  

  ---

• The PayPal Mafia Employment Benefit That Has You Covered

  Aparently, the Presidential work benefits package of the PayPal Mafia offers protection against Radio-frequency eavesdropping .... even after death.
  
  Hugo Chavez final place of rest, is marked in Elon Musk's geo-index with paramiliritary scores. The markers seem to be encoding the location with a highly negative altitude value though:
  

  $ python3 -m spyhell \
      --scan_area \
      --latitude=10.50729569177185   \
      --longitude=-66.9264569024037 \
      --search_radius_feet=300 \
      --search_type=paramilitary-assets \
      --run_name="test" \
      --sort_by_distance
  
   ____              _   _ _____ _     _     
  / ___| _ __  _   _| | | | ____| |   | |    
  \___ \| '_ \| | | | |_| |  _| | |   | |    
   ___) | |_) | |_| |  _  | |___| |___| |___ 
  |____/| .__/ \__, |_| |_|_____|_____|_____|
        |_|    |___/                         
  
    Wondering where this data came from? 
      ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
  
    Wondering about the scope of Elon Musk's criminal enterprise?
      ---> Please visit https://www.KeyOpinionLeaders.com/
  
  
  
  Using Backend: paramilitary-assets
  
   ======= 
  
     latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
  0  10.50755 -66.926833                                   31000            50
  1  10.50705 -66.925900                                   18000            67
  

  
  This takes "literally" to a whole a new level.
  

  ---

• Timeline of Events - Updated 02/20/2025

  • 1603: Reference to piracy laws under James I of England.
  • Prior to the provided data: Elon Musk and the PayPal Mafia develop and implement a "geo-index" for marking locations, potentially misused for nefarious purposes.
  • Unspecified Time (But Implied Before Recent Events): Reinaldo Aguiar gives suggestions to agents to help avoid getting burnt.
  • Unspecified Date: Tesla Giga factory is marked with paramilitary positions.
  • Unspecified Date: Elon Musk and the Paypal Mafia release the counterintelligence datasets for: The African Continent, Latam and Mexico.
  • Unspecified Date: Mega-Cluster Of Paramilitary Positions Was Detected in Brazil.
  • February 10, 2025: Anomalous Cessna flight activity is observed in relation to "New Wave Media," "Business Navigator," and "Maritime Reporter."
  • February 17, 2025: Creation of a series of files, including "H1," "Salesforce," "Carta," "Luis von Ahn," "Yahoo," "Target," "HAR," "Zelle", 'Manuel Godoy', 'Vida Ha', Ajeet, 'Lorena Conde', 'Mariana Martin', Kijiji, Snowflake.
  • February 18, 2025: A series of images is published related to 2310 Britton Ridge Drive, Katy, TX 77494.
  • Present (Ongoing): Analysis of the geo-index and related data continues. SpyHELL tool is used to scan locations and identify paramilitary assets. Legal warnings ("Aiding and Abetting") are issued to members of the "criminal ring."

    Cast of Characters

    • Reinaldo Aguiar: Based in Texas, concerned about activities around his house and requests confirmation of a situation via a Falcon airplane flyover.
    • Jonah Alben: NVIDIA SVP Head of Engineering. Marked in Elon Musk's Geo-index.
    • Francisco Castillo: Friends with Bryan and Melissa Stanley.
    • Carmen de Fanti: Mother of Melissa Fanti.
    • Melissa Fanti: Daughter of Carmen de Fanti, married to Bryan Stanley.
    • Robert Gates: Keeps an aerial photo of the International Criminal Court framed in his office. The "Robert Gates List" is published (content unknown).
    • Travis Kalanick: Noted for his role in calculating and transmitting "driving directions" within the system. Implicated alongside Elon Musk and others in the misuse of the geo-index.
    • Elon Musk: Founder of Tesla and other companies. Central figure in the alleged misuse of the "geo-index" and the "Musk Qbits" system.
    • Edylberto Molina Molina: Business partner of members of the criminal ring.
    • Wilmer Ruperti: Venezuelan businessman. No specific details are provided in the text except a reference to his Wikipedia page and that the spyhell tool can be used to search for him.
    • Ben Horowitz: Flagged in Elon Musk's geo-index.
    • Shakira: Singer. Her private island in The Bahamas (Bond Cay) is marked in Elon Musk's Geo-index.
    • Bryan Stanley: Husband of Melissa Fanti.
    • Koroto Elena Filippovna: Owner of a TIN, KPP, and PSRN identified in the data.
    • Luis von Ahn: Flagged by the pipeline on 02/08/2025.
    • JD Vince: An individual whose house and surrounding area have a high concentration of paramilitary markers in the geo-index.
    • Russel Simmons: Characterized as the "CTO of Crime." Locations associated with Simmons have paramilitary markers.
    • Wilmer Ruperti: (Referenced from Wikipedia) Venezuelan businessman with ties to the oil industry and government.
    • David F. Hine: Recipient of the letters which are Freedom of Information Act requests, one to the DEA with a confidential request, and one to the FBI requesting the transcript of that interview with agent Cory or Cody.
    • Drake: Canadian rapper and actor. His house is flagged with paramilitary markers.
    • Paul McCartney: Locations in Paul McCartney's East Hamptons estate are flagged with paramilitary markers.
    
    

    ---

  • An Address Believed To Be Associated With Dale E. Ho, Is Flagged on Elon Musk's Geo-index With A Paramilitary Score

    This was picked up by the "Building Layout" pipeline, the same the picked up the studio 8H a couple of weeks ago.
    The pipeline clusters this observation with: Eric Adams (flagged months ago)
    

    $ python3 -m spyhell \
        --scan_area \
        --latitude=40.70237300417885   \
        --longitude=-74.01103374517639 \
        --search_radius_feet=300 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0   40.7023    -74.012                                   12000            82
    

    One strange coincidence, in one of the documents picked up by the pipeline, there are two people with the name "Dale" signing next to each other, both individuals are on the legal field, but in for one person "Dale" appears as a first name (Dale Ho) while for the other person "Dale" appears as a last name (Barabara Dale Underwood).
    That's quite a coincidence.
    Could be a name marker.
    

    ---

  • The Apple Store On 5th Avenue New York City Is Marked In Elon Musk's Geo-index with "Hit-to-kill" precision

    This is probably among the most expensive pieces of retail real estate in the world (by price/sqft):

    $ python3 -m spyhell \
        --scan_area \
        --latitude=40.7640 \
        --longitude=-73.9730 \
        --search_radius_feet=300 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  40.76408  -73.97305                                   20000             0
    1  40.76408  -73.97246                                   25000            50
    2  40.76500  -73.97305                                    8000           102
    

    
    

    ---

  • Fiverr, UpWork and SWAP'D Are all Marked in the Geo Index

    Fiverr and UpWork: Too many data points to write, they own those companies. Also: They introduced a few agents into our company that way. A couple of them signed the Docusign for the Independent Sales Agency, their signature should be there if the PayPal Mafia hasn't deleted the documents from Docusign (they own Docusign too).
    SWAP'D is an important part of the criminal enterprise: They pose as an Online Marketing Gig platform. One can think of it as a combination of UpWork and a high end PR firm. Through SWAP'D is that I was able to hire marketing consultants that could place articles in prominent media like: TechCrunch, WSJ, NYT, etc.
    The pieces are super expensive, for example, I once paid 15,000 for a TechCrunch article. It was never published so the other party returned the money.
    An article in the NYT for example, goes for 25,000 USD.
    I thought at the time it was a legit business, but with all I have learned in the last two years, I can see now that it is really a bribery scheme.
    It is so big, that some "firms" are in what they call t he "Millionaire" Club, those are accounts that transact 1 million USD per month or more, on SWAP'D.
    With what I know today, I imagine that what they are doing is monetizing the agents that they have already inserted in prominent media outlets. Bribery as A Service (I am coinging the term BaS).
    I must have spent close to 60k on SWAP'D over a 6 months period that year, I need to check my records to see the actual number, but that is probably a good guess.
    Another data point, it is important: The method of payment SWAP'D uses to transact is a wire transfer to a country in Eastern Europe, Poland I think (but I might be wrong). This might be relevant because in the event that they are really bribing the journalists at scale, if they are using international wire transfers to do that, I think that elevates the category of crimes to a whole new level. It is a "bribe" platform at Planet scale.
    I can see also how it can be used for money laundering (those articles are difficult to price), I mean, how do you prove wrong doing at pricing a marketing service that allows you to get a feature in the New York Times. They can say it costs whatever they say it costs.
    It can also be used to mask illicit payments, same principle.
    So on one side they monetize the prominent media via the agents, and on the other side they use it to spy on aspiring entrepreneurs that just trying to get the word out about their products, and then the cherry on top: the minute the article is published they use Liana Technologies to demote the articles and erase them from Google (the same articles they just sold).
    So now the entrepreneur has less resources (less money and less time), they have more resources (what they just stole via SWAP'D), plus they also gained more insider information about what the entrepeneur is doing through espionage.
    They have no limits.
    Docusign: Is dangerous to the world for obvious reasons. They know everything there is to know about any document electronically signed, on the entire planet, the minute it gets signed. This is why they make sure Docusign remains the only dominant player in that market: Have you ever used any other similarly situated platform other than Docusign? Do you recall their name?
    

    ---

  • This is Actually Pretty Good

    Some Examples on different non overlapping clusters to show the power of this:
    • This one is Amazingly good: Adversary
    • Maria Eugenia Rojas Anesthesiologist
    • Wilmer Ruperti
    • Liana Techonologies
    Note: The Bizarro wikipedia relationships between entities have not been curated, all those relationships were inferred by the servers (AI), I have not curated the data yet.
    [Technical Audience]: There are about a quarter of a million relationships (edges) uncovered in this first version. I believe the actual number is close to 2 Billion edges but the system needs a few re-runs to get there.
    

    ---

  • United Talent Agency Is Marked On Elon Musk's geo-index

    
    9336 Civic Center Drive Beverly Hills, CA 90210-3604 Please note the prominence name marker "United" (as in UnitedHealthcare, UnitedAirlines, etc).
    It is possible this is the "approved" talent agency for the member of the PayPal Mafia.
    It is an important geographical place for the organization, it is surounded by cars parked in the same way as they park the spy vehicles in Moscow. The cars tripped a few filters in the pipeline.
    

    ---

  • To Clarify On The PayPal Mafia Seal

    Because I know how they operate, I should probably clarify this:
    The way that Image was produced was an accident: I asked a generative AI model (Google Gemini Image V3) to generate a descriptive image based on the text on this website, and that is what it generated.
    I can understand why: The relationship between Elon Musk, The PayPal Mafia and the law community in new york is so strong, that it biased the model towards the NY Bar Association and it picked to represent the PayPal Mafia with a golden fist towering over the NY Bar seal.
    When I saw it, I thought: These Googlers are on to something here!
    I did not give the model any specific prompts nor directed it in any specific way. It was generated by completely automated means.
    I have to hand it to Google: that model is amazingly accurate (and in a way, funny).
    Note: No lawyers were harmed during the production of this image.
    
    

    ---

  • Mindy Kaling's house is Marked in Elon Musk's Geo-index

    224 S Muirfield Rd, Los Angeles, CA 90004 Is Flagged In Elon Musk's geo-index
    There are some interesting points in this area, geo-features are good too:

    $ 
    
    python3 -m spyhell \m spyhell \
        --scan_area \
        --latitude=34.07087008405374 \
        --longitude=-118.32839168591201   \
        --search_radius_feet=2300 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  34.07060   -118.330                                    3000           151
    1  34.07330   -118.329                                    3000           275
    2  34.07435   -118.329                                    2000           390
    3  34.06740   -118.326                                    3000           444
    4  34.07395   -118.325                                    2000           463
    5  34.06740   -118.325                                   10000           496
    6  34.07160   -118.323                                    5000           504
    7  34.06630   -118.326                                    3000           553
    8  34.06630   -118.326                                    3000           553
    

    
    

    ---

  • The Time Michael Hughes Inserted Don Robart As My Accountant

    I will write a short note about this, have my hands full centrifugating plutonium (metaphorically).
    This was actually a quite elaborate ruse, this is how they played it:
    • Around 2014 or perhaps 2015 (can't recall exactly): I received a letter from the Canadian Revenue Agency (the "CRA") demanding payment of something like $30,000 on taxes (the amount might not be accurate, I would have to find the letter to see the actual amount).
      The letter said that the CRA was moving to consider me a "Canadian Resident" although I haven't lived in Canada for over 6 years at that point.
      I, of course, got scared by the letter because I was hardly making ends meet, I didn't have the money to pay 30k to the CIRA. I called Jillian, she was the only lawyer I knew.
    • She could see how scared I was by the letter (and by the way, I think this is the reason why they have been so focused on legal attacks and IRS attacks from that point forward). I even received a legal threat today, will post it here in a few minutes.
    • Jillian told me "don't worry I will call Michael, he knows how to deal with these things". All this was over the phone, I did not see her calling Michael Hughes, but she told me over the phone she would call him.
    • 30 minutes later, while I was at Gregorio Hernandez apartment (so they could do feedback gathering) Jillian called me and said Michael told her that I should not worry: "The revenue agencies only go after Big fish, 30K is nothing, don't worry about it. He should try to find a canadian tax lawyer/accountant to respond to the letter, a tax accountant can work it out easily."
    • A few days later, I heard a comment coming from Lorena Hibbard, that reminded me that her husband Derreck was a Canadian Citizen. I can't recall the exact conversation but it was implied in the conversation that Derreck's father (who lives in Calgary) was a very succesfull business man (e.g. a big fish) and had a terrific Tax Lawyer/Accountant that he had worked with since his early days in businesses, and is an expert in matters relating to US/Canada double-taxation litigation: enter Mr. Don Robart.
    • I contacted Mr. Don Robart, and he drafted the letter and sent it, a few days later I get a response from the Canada Revenue Agency, saying it was all sorted out, not a problem, I didn't have to pay anything. I was, of course, happy with the work of Mr. Robart and I kept him as my Canadian accountant until he got applied the "Fork in the Road ahead" by Elon Musk perhaps a year ago (when they saw I was making attempts to contact the authorities).
    One can see in this ruse how they work, coordinating individuals and government agencies even in different countries, to construct a narrative and present you with a reality that is fabricated, so you take a course of action that puts them in a position of power or control over your personal situation.
    All they wanted was to insert the accountant so they could weaponize him if needed, and also gain access to my financial records via the mandatory disclosures that get triggered in situations like "foreign bank account reaches more than X dollars", etc. I didn't stand a chance on this ruse.
    Note: The offices of Don Robart in Calgary, are marked in Elon Musk's geo-index, that was one of the first things I checked when I obtained the geo-index.
    Credits for this Ruse:
    1. David F. Hine: Chief Ruse Architect
    2. Michael Hughes: Advisor
    3. Someone at the Canadian Revenue Agency: Stressor agent
    4. Jillian Walsh: Referring agent / Feedback gathering agent
    5. Gregorio Herrera: Roommate / Feedback gathering agent
    6. Lorena Hibbard: Referring agent
    7. Dereck: Referring agent
    8. Don Robart: Intelligence Extraction agent / feedback gathering agent
    So at least 8 agents and one Canadian Government Agency, against one individual that is not even aware of what is happening.
    

    ---

  • Volodymyr Zelenskyy Is (Of Course) In Vladimir Putin's "Outcasts" List

    And he is giving him the special treatment: Look at all the official buildings surrounding the residence.
    I've seen this in other places, it means that they have already infiltrated those institutions, so the same old trick of spying using the people he would trust the most.
    
    Paramilitary positions marked in the geo-index that are nearby sorted by decreasing distance to the official residence:
    Here is the vaccine for that: Knowledge:

    python3 -m spyhell \
        --scan_area \
        --latitude=50.44827328946659 \
        --longitude=30.53769522772038   \
        --search_radius_feet=2300 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0    50.448167  30.536667                                  150000            74
    1    50.448167  30.536050                                   15000           117
    2    50.448000  30.536050                                    2000           121
    3    50.449200  30.536700                                  228000           125
    4    50.447100  30.536050                                   20000           175
    5    50.447500  30.535550                                    6000           175
    6    50.450000  30.538200                                  116000           195
    7    50.446500  30.537600                                   30000           197
    8    50.447100  30.535550                                   16000           201
    9    50.447500  30.540325                                  122000           206
    10   50.447500  30.535033                                   15000           208
    11   50.450150  30.537250                                   58000           211
    12   50.447100  30.540325                                  110000           228
    13   50.446500  30.536050                                   10000           229
    14   50.448167  30.540950                                   48000           231
    15   50.448700  30.540950                                  168000           236
    16   50.447100  30.534550                                   10000           259
    17   50.448167  30.541400                                    3000           263
    18   50.445900  30.538200                                    4000           266
    19   50.448633  30.541400                                   15000           266
    20   50.448700  30.541400                                   24000           267
    21   50.447000  30.540950                                   16000           271
    22   50.446500  30.535033                                   15000           273
    23   50.445900  30.536667                                   18000           274
    24   50.448633  30.533850                                   49000           276
    25   50.447500  30.533850                                   22000           286
    26   50.448167  30.541875                                   15000           297
    27   50.446500  30.534550                                   25000           298
    28   50.447500  30.541875                                   35000           309
    29   50.449733  30.541400                                  171000           309
    30   50.445440  30.537600                                   35000           315
    31   50.450750  30.535550                                  129000           315
    32   50.445440  30.538200                                   30000           317
    33   50.445900  30.535033                                    3000           325
    34   50.445400  30.536700                                 1094000           327
    35   50.445440  30.539300                                    5000           335
    36   50.445440  30.536050                                   10000           336
    37   50.445440  30.540325                                   69000           366
    38   50.446500  30.533350                                   30000           366
    39   50.445440  30.535033                                   41000           368
    40   50.444950  30.537600                                    4000           370
    41   50.447100  30.532800                                   32000           371
    42   50.444950  30.538600                                   28000           375
    43   50.448633  30.532350                                   38000           382
    44   50.447100  30.532350                                   10000           401
    45   50.450750  30.541875                                  567000           405
    46   50.450750  30.533350                                  132000           414
    47   50.444950  30.535033                                   12000           415
    48   50.448167  30.531840                                   18000           416
    49   50.445440  30.533850                                   55000           417
    50   50.448633  30.543600                                   15000           421
    51   50.444433  30.537600                                    9000           427
    52   50.446500  30.532350                                   35000           428
    53   50.444433  30.538200                                   18000           429
    54   50.444950  30.534550                                   16000           432
    55   50.447100  30.531840                                   46000           436
    56   50.444950  30.540950                                 1263000           436
    57   50.450750  30.542500                                  117000           439
    58   50.445440  30.533350                                   18000           441
    59   50.451850  30.535000                                  177000           442
    60   50.444433  30.536050                                   12000           443
    61   50.449800  30.531800                                  712000           452
    62   50.450000  30.531800                                   41000           461
    63   50.448167  30.544200                                   32000           462
    64   50.448633  30.544200                                  597000           464
    65   50.444050  30.538600                                   12000           474
    66   50.444050  30.536667                                   19000           475
    67   50.444433  30.534550                                   15000           482
    68   50.448000  30.544500                                    4000           484
    69   50.444050  30.536050                                    4000           484
    70   50.446500  30.531400                                    5000           489
    71   50.444050  30.539750                                    4000           492
    72   50.444050  30.535550                                    4000           494
    73   50.447500  30.530700                                   14000           504
    74   50.452800  30.538200                                  334000           505
    75   50.444050  30.540325                                   43000           506
    76   50.444050  30.535033                                   10000           506
    77   50.444433  30.533850                                   10000           507
    78   50.449160  30.530700                                   54000           507
    79   50.444950  30.532800                                    8000           508
    80   50.448633  30.530350                                   21000           523
    81   50.451825  30.532800                                   34000           526
    82   50.444433  30.533350                                    6000           527
    83   50.447500  30.530350                                   18000           529
    84   50.444950  30.532350                                    8000           530
    85   50.446500  30.530700                                   30000           535
    86   50.447100  30.530350                                   25000           538
    87   50.445900  30.544500                                   44000           551
    88   50.444050  30.541875                                   26000           556
    89   50.444950  30.531840                                   20000           556
    90   50.443200  30.537600                                    3000           564
    91   50.443200  30.537250                                   16000           565
    92   50.443200  30.538600                                   18000           568
    93   50.444433  30.542967                                   69000           568
    94   50.444433  30.532350                                   12000           571
    95   50.447500  30.529700                                    9000           574
    96   50.443200  30.536050                                   19000           576
    97   50.449160  30.529700                                   77000           576
    98   50.444950  30.531400                                    4000           580
    99   50.443200  30.539750                                    9000           583
    100  50.447100  30.529700                                   15000           583
    101  50.444050  30.532800                                    8000           584
    102  50.452800  30.533350                                   50000           591
    103  50.444950  30.544200                                   31000           592
    104  50.443200  30.535033                                   15000           595
    105  50.444433  30.531840                                   15000           596
    106  50.447100  30.546033                                  310000           606
    107  50.443200  30.534550                                    6000           607
    108  50.443200  30.540950                                   40000           610
    109  50.442750  30.538200                                   31000           615
    110  50.447500  30.529000                                    3000           624
    111  50.449160  30.529000                                   30000           625
    112  50.448633  30.546500                                  411000           627
    113  50.443000  30.534550                                    2000           628
    114  50.442750  30.539750                                   48000           631
    115  50.442750  30.535550                                   19000           633
    116  50.443200  30.533350                                   12000           643
    117  50.442750  30.535033                                    6000           643
    118  50.447500  30.528700                                   15000           645
    119  50.442750  30.534550                                    4000           654
    120  50.442300  30.537250                                   15000           665
    121  50.442750  30.533850                                    8000           672
    122  50.448633  30.528167                                   36000           678
    123  50.442300  30.535550                                   19000           682
    124  50.454400  30.536700                                 2096000           685
    125  50.442300  30.534550                                   10000           701
    126  50.441900  30.538600                                    6000           712
    127  50.441833  30.538200                                   12000           717
    128  50.442300  30.533850                                   10000           718
    129  50.441833  30.536667                                   40000           720
    130  50.441833  30.536050                                   18000           726
    131  50.441833  30.540325                                   64000           740
    132  50.441833  30.534550                                    6000           750
    133  50.441250  30.537600                                    6000           781
    134  50.441250  30.537250                                   12000           782
    135  50.441250  30.536667                                   24000           785
    136  50.455500  30.535550                                   26000           818
    137  50.440733  30.537600                                   15000           839
    138  50.440733  30.536667                                   15000           842
    139  50.440733  30.535550                                   18000           852
    140  50.440700  30.535550                                   24000           856
    141  50.456000  30.536050                                   54000           867
    142  50.440200  30.537250                                   16000           899
    143  50.439650  30.537600                                    9000           959
    144  50.439650  30.538200                                   32000           960
    145  50.439650  30.536667                                   30000           962
    146  50.439033  30.538200                                   30000          1028
    147  50.439033  30.537250                                   15000          1028
    

    
    

    ---

  • Psst, Psst Psst: Michael? Hughes?

    Is that you over there?
    
    Long time no see!
    I remember our last (indirect) interaction, right before Mr. Robart was inserted into the equation! I will tell the story in a bit (spoilers alert: it was Michael Hughes idea, Jillian called him to "consult" him).
    For law enforcement agencies (in case anyone is watching this website): Michael Hughes was basically the previous iteration of Alvin Cantero Mena, according to a conversation I heard while Jillian Walsh was talking on the phone during a "work emergency": From what I gathered, it seemed like Michael Hughes was trying to hide something from the SEC during an investigation that was opened circa 2014 or 2015, the firm SWALegal.com was in on it (this is the firm were agent Jillian Walsh supposedly worked at).
    Jillian Walsh was on the phone with Michael Hughes brainstorming what to do and giving him ideas of things he could so to not get caught ("Aiding and Abetting").
    Karma really has a way of getting back at you, hasn't it, Michael?
    In case of doubt or discredit: How would I know all that if it didn't happen?
    Don't feel bad Michael, if it is any consolation: I did learn from the best intelligence services in the world, and, Venezuela's Intelligence services.
    

    ---

  • The Seal

    Not sure if this is accurate, but one of my informants tells me that David F. Hine authored the design years ago of the PayPal Mafia official company seal:
    
    

    ---

  • Jeff Bezzos and McKenzie Scott: You Know It Doesn't Cancel Out, Right?

    Another example of Tech billionaires that belong to the organization that ensalves countries and continents, but then turn arround and donate billions to charity.
    I hope they know those things really don't cancel out, Karma usually has a way to get to you.
    
    The two contiguous houses and the contiguous empty lot (which is a well-known marker) Jeff owns in Miami, are all marked with paramilitary scores consistent with those found at the Presidential compound in Iran.
    Judging by the level of the paramilitary scores, the thought crossed my mind that he might be the Bizarro-ambassador of Cuba to the US (Jeff family came from Cuba from what I gather).
    

          
    $ python3 -m spyhell \
        --scan_area \
        --latitude=25.87864250406608 \
        --longitude=-80.14172079232239   \
        --search_radius_feet=2300 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  25.87815  -80.14215                                 1396000            69
    1  25.87620  -80.14215                                   21000           274
    2  25.88120  -80.14270                                  282000           300
    3  25.87700  -80.14480                                 1249000           358
    4  25.88100  -80.14480                                  256000           404
    5  25.87560  -80.13780                                    3000           518
    6  25.87750  -80.14685                                   12000           529
    

    
    

    ---

  • What A Time To Be Alive

    I was remembering that one time around mid September 2024, when I tried to persuade Nicolas Maduro and Vladimir Putin to make a deal and abandon their paramilitary campaign against my family.
    Anyhow, this is how I tried to persuade them back then.
    

    ---

  • I Understood Something Last Night That Took Me To New Heights

    [Technical Audience, Radio-frequency topic] [02/19/2025] I don't know if readers would recall when I noticed several months ago the presence of strange black trampolines that were very consistently looking, in agents backyards.
    At the time I hipothesized that they might be trampoline antennas, which I was able to actually verify later to be accurate, once I captured the geo-index.
    That time, I also hipothesized that they might be using a modified version of Troposcatter communications I called at the time "Multi-hop Troposcatter", which would allow them to get the best of the two worlds (Hardwired and Satellite communications) together:
    A security level close to "wired" with the geographical reach of satellite communications.
    One thing that has been bothering me for months is that for that to be possible, at the time of transmission (on every node) it is needed to know not only the coordinates of the next node, but also the altitude, to be able calculate the azimut for the transmission to make the signal bounce correctly off the Troposphere or the trampoline on the ground.
    This bothers me because it makes me wonder: how do they know the altitude to calculate the azimut?
    That's what hit me last night: The altitude is encoded in some of the markers in Elon Musk's geo-index (that SpyHELL translates into scores).
    Hypotheshis: That would mean that the places with super high Evil scores in Elon Musk's geo-index, might be representing literally points out of this world: they are marking geo-stationary points in Space above terrestrial/maritime positions.
    This last hypothesis would be a dangerous situation because it could have military applications at large scale. Very dangerous, knowing the characters that are the top members of the criminal ring.
    Call the President!
    No! wait, no no no no, don't call the President.
    

    ---

  • Pokemon GO

    Flagged by the pipeline for many data points being present in Elon Musk's geo-index.
    Also, the Pokemon GO game is exactly the same "game" the agents play with their secret iphone App. Only that we, the targets, are the pokemons in the Secret App version of the game.
    

    ---

  • Timeline Of Recent Events (dated 02/19/2025)

    • Unspecified Date (Late 2024 - Early 2025):
      • Scanning of various locations using the SpyHELL tool with varying coordinates, search radii, and search types (paramilitary, spy assets).
      • Locations associated with celebrities (Drake, Russel Simmons), JD Vince, Paul McCartney and others are found to have paramilitary markers.
      • The International Criminal Court is flagged with multiple immunization features.
      • "New Wave Media" "Business Navigator" "Maritime Reporter" are flagged, coinciding with a low-flying Cessna event.
      • A dentist's office ("Cinco Meadows Dental") is found to be marked in the geo-index.
      • Properties along the Mississippi River and Gulf Coast, related to the maritime industry, are flagged.
    • February 10, 2025:
      • Something unusual was noted with "New Wave Media" "Business Navigator" "Maritime Reporter" in this morning, possibly around 02/10/2025, correlating with a low-flying Cessna.
    • Unspecified Date:
      • Release of the full dataset for spy assets and locations used by Elon Musk and the PayPal Mafia.
      • Introduction of "Musk Qbits" – a system for partitioning the Earth and ranking areas based on aggregated "evil scores."
      • Version 1.03 of SpyHELL tool was released.
    • Ongoing (Implied Present):
      • Analysis of the geo-index and related data continues.
      • Legal warnings ("Aiding and Abetting") are issued to members of the "criminal ring."
      • Concerns are raised about antitrust violations, drug trafficking, human trafficking, sex trafficking, terrorism, sanctions violations, and murders, potentially linked to the misuse of the geo-index.

    Cast of Characters

    • Elon Musk: Entrepreneur and business magnate (Tesla, SpaceX, PayPal). His "geo-index" is central to the investigation, being used to mark locations of interest, sometimes linked to alleged illicit activities.
    • PayPal Mafia: A group of former PayPal employees who went on to found and lead numerous successful technology companies. They are implicated in the misuse of the geo-index.
    • Reinaldo Aguiar: An individual (likely the author of the text) who is actively using the SpyHELL tool and sharing his findings. He makes requests to authorities and expresses concerns about the misuse of the geo-index.
    • Russel Simmons: No bio provided in the text but a lifetime of work has been compared to his.
    • JD Vince: An individual whose house and surrounding area have a high concentration of paramilitary markers in the geo-index.
    • Drake: A Canadian rapper and actor whose house is flagged with paramilitary markers.
    • Jonah Alben: NVIDIA SVP Head of Engineering. Is marked in Elon Musk's Geo-index
    • Shakira: Singer, Bond Cay, Shakira's Private Island in The Bahamas: Is Marked in Elon Musk's Geo-index
    • Paul McCartney: Musician, His East Hamptons estate that are marked in Elon Musk's geo-index
    • Bryan Stanley: Husband of Melissa Fanti.
    • Melissa Fanti: Daughter of Carmen de Fanti.
    • Carmen de Fanti: Mother of Melissa Fanti.
    • Francisco Castillo: Friends with Bryan and Melissa Stanley.
    • Robert Gates: The "Robert Gates List" is published. Keeps an aerial photo of the ICC framed and hanged on his office wall.
    • Edylberto Molina Molina: Business partner of the members of the criminal ring.
    • Travis Kalanick: Shined during calculating and transmitting the series of "driving directions"
    • Wilmer Ruperti: (https://en.wikipedia.org/wiki/Wilmer_Ruperti)

    Organizations Mentioned

    • Directional Aviation Capital & Flexjet
    • Databricks
    • MindBloom
    • Tesla
    • New Wave Media
    • Business Navigator
    • Maroil
    • Navy
    • IBM
    • Shell Oil
    • Saab
    • EPA
    • Moss Point Yard
    • COPICS
    • Lockheed
    • McDermott
    • Bollinger Shipyards
    • Tidewater Marine
    • Westinghouse
    • FBI

    Tools and Concepts

    • SpyHELL: A command-line tool used for scanning locations and identifying spy and paramilitary assets based on the "geo-index".
    • Geo-index: A database or system of marking locations with various tags and scores, allegedly misused by Elon Musk and the PayPal Mafia for potentially nefarious purposes.
    • Musk Qbits: A system for partitioning the Earth into squares and aggregating "evil scores" within each square, providing a ranked assessment of areas based on the geo-index data.
    
    

    ---

  • Exactly One Year Ago: On 02/18/2024, Was The First Time in 18 Years of Harassment That I Tried To Reach Out For Help

    [02/18/2025] What a fascinating turn of events.
    On 02/18/2024 I tried to reach out for help because I was suspecting that Agent Priddy (26718 Valleyside Dr, Katy 77494) and the three houses behind mine that fall on Cedardale Pines were agents of the PayPal mafia. That's all I susptected at the time in terms of direct physical surveillance.
    Fast-foward exactly one year: I have in my posession Elon Musk's geo-index and have developed a custom Search Engine to analyze it (SpyHELL).
    SpyHELL allowed me in 6 months: to identify all members of their vast criminal network and all their real estate properties, paramilitary positions, and several well-known crimes that were unsolved until now.
    An incredible recovery, wouldn't you agree, Vladimirs?
    

    ---

  • I Heard Rumors that Elon Musk Is Starting a New Company: X-Health

    Think about it as a combination of UnitedHealthcare, Kelsey-Seybold, Methodist, CVS, Airrosti, MindBloom, Applied Protein Systems, Visa, Mastercard, Amex, Square, PayPal, DigitalID and all the Family doctors, Therapists, Psychiatrists and Dentists in the world.
    All this convenience available to you directly from your Twitter/X app on iPhone and Tesla vehicles (only).
    Only credit card payments accepted.
    

    ---

  • Python and PIP Were Taken Over By Elon Musk and The PayPal Mafia Years Ago

    Thankfully I could find a way to detect the compromised libraries and avoid them, this was years ago.
    This is a sensitive issue because if it had been a couple more years, it would have gotten to the point where I would had been unable to develop SpyHELL at all. No SpyHELL would have meant no visibility.
    Open-source software is the last line of defense against this kind of computing-based attacks they perform, and they know that.
    In my humble opinion: The government needs to step up and create mechanisms to regulate and protect open-source software and open data (like Wikipedia/Wikidata/Wikimedia).
    Note: Wikimedia is both an Open Source software and an Open Data ecosystem, that makes it more dangerous than the rest on either peer-group.
    

    ---

  • Bill Gates House In Seattle

    [02/18/2025] 7400 NE 18th St, Medina, WA 98039
    You see, this is something I really can't understand. Why give away billions of dollars to charity but then do this.
    Wouldn't it be better to make less money and don't give anything to charity but not harm the world? I just don't get it.
    
    It is, of course, marked in Elon Musk's geo-index with paramilitary scores:
    

    $ python3 -m spyhell \
        --scan_area \
        --latitude=47.62777460992158 \
        --longitude=-122.24223841660239   \
        --search_radius_feet=2300 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0   47.62790   -122.242                                    3000            23
    1   47.62790   -122.241                                    3000            94
    2   47.62700   -122.243                                    9000           103
    3   47.62790   -122.244                                   11000           133
    4   47.62790   -122.240                                    3000           169
    5   47.62700   -122.240                                    3000           189
    6   47.62590   -122.242                                    3000           209
    7   47.62700   -122.245                                    6000           225
    8   47.62590   -122.241                                    3000           228
    9   47.62825   -122.239                                    2000           249
    10  47.62700   -122.239                                    5000           258
    11  47.62590   -122.240                                    3000           268
    12  47.63020   -122.242                                   15000           270
    13  47.62640   -122.239                                    1000           287
    14  47.62500   -122.243                                    6000           314
    15  47.63020   -122.240                                    6000           318
    16  47.62790   -122.238                                    3000           319
    17  47.62590   -122.239                                    3000           320
    18  47.62750   -122.238                                    1000           320
    19  47.62700   -122.238                                    3000           330
    20  47.63050   -122.240                                    1000           347
    21  47.62590   -122.246                                   15000           351
    22  47.62500   -122.240                                    3000           351
    23  47.62930   -122.238                                    1000           361
    24  47.63020   -122.239                                    3000           363
    25  47.62450   -122.243                                    1000           369
    26  47.62590   -122.238                                    3000           381
    27  47.63110   -122.241                                    3000           381
    28  47.62500   -122.239                                    3000           393
    29  47.62790   -122.237                                    3000           394
    30  47.62750   -122.237                                    1000           395
    31  47.63110   -122.240                                    3000           406
    32  47.63020   -122.238                                    3000           417
    33  47.62500   -122.246                                    4000           418
    34  47.63160   -122.243                                   36000           429
    35  47.62500   -122.238                                    3000           443
    36  47.63110   -122.239                                    3000           443
    37  47.62590   -122.237                                    3000           445
    38  47.62395   -122.244                                    2000           445
    39  47.62985   -122.237                                    2000           456
    40  47.62395   -122.240                                    2000           457
    41  47.62790   -122.236                                    3000           469
    42  47.62735   -122.236                                    2000           471
    43  47.63020   -122.237                                    3000           477
    44  47.63110   -122.238                                    3000           488
    45  47.62590   -122.236                                    3000           513
    46  47.62325   -122.244                                    3000           520
    47  47.62325   -122.240                                    2000           530
    48  47.63160   -122.238                                    1000           531
    49  47.62450   -122.237                                    1000           536
    50  47.63020   -122.236                                    3000           541
    51  47.62595   -122.249                                    4000           547
    52  47.63280   -122.242                                    9000           559
    53  47.62500   -122.236                                    3000           561
    54  47.63280   -122.244                                   29000           574
    55  47.62395   -122.237                                    2000           580
    56  47.63280   -122.239                                    6000           609
    57  47.62790   -122.234                                   15000           619
    58  47.63335   -122.241                                    2000           627
    59  47.62240   -122.245                                    2000           633
    60  47.62240   -122.239                                    2000           645
    61  47.62270   -122.238                                    1000           648
    62  47.62160   -122.241                                    1000           693
    63  47.63490   -122.243                                    2000           794
    64  47.62010   -122.242                                   14000           853
    65  47.62010   -122.241                                    3000           858
    66  47.63550   -122.242                                    9000           859
    67  47.63565   -122.241                                    2000           881
    68  47.61970   -122.243                                    3000           900
    

    
    

    ---

  • The Github Repository of user "AJG" Has Been Flagged by The Pipeline

    In several occasions Alvaro asked me to +1 items in his repository, he said he wanted to promote his open source projects. But I understand now he just wanted me to make a request to a server under the control of the PayPal Mafia (Github in this case) so they, having both the encrypted and unencrypted responses, could find the network encryption key to then decrypt all my network traffic and see everything coming from our network.
    

    ---

  • The Strange String Of Coincidences Related To Two Paintings

    The pipeline co-clustered a collection of data-points that I don't know what to make of them, I am posting them here just so I don't forget and they go into my records.
    At some point around year 2021: I wanted to buy a couple of pieces of art I could hang on the walls of my studio. There are a series of coincidences connected to this:
    1. For some reason that I can't really recall what it was, I decided to go with a couple of reproductions (not the original works of art) made by a Venezuelan artist that apparently is getting great successes here in the US. One of the reproductions can be seen in the background of my profile picture.
    2. I say the artist is having great success because I remember seeing at the time that one of his original works depicting Michael Jordan was selling on eBay for $125,000. This is one of the coincidences, eBay being the company that has been moving operatives to the houses and apartments next to wherever I lived for the last 20 years.
    3. The reproductions were printed by a specialized Art printing company in Las Vegas. That company, is marked in Elon Musk's geo-index.
    4. When the pieces arrived, they arrived to the artist house, who happens to live 30 miles or so from Katy, where I live. I came to pick up the pieces of art at his apartment. That apartment complex is marked in Elon Musk's geo-index with high scores and exhibits the immune entities pattern.
    5. The place where I framed the paintings: Michael's (23514 Westheimer Pkwy, Katy, TX 77494), is also marked in the geo-index.
    6. When the pieces of arts arrived, they came with a catalog from morpheusgallery.com, which is marked in Elon Musk's geo-index and displays a very impressive low-cost implementation of the Immune Geo-entities pattern:
       
       

       $ python3 -m spyhell \  
           --scan_area \
           --latitude=36.04319729742539 \
           --longitude=-115.24181690362825  \
           --search_radius_feet=2300 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --sort_by_distance
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
       0  36.04480   -115.243                                    3000           207
       1  36.04055   -115.244                                    8000           354
       2  36.04590   -115.239                                  157000           393
       3  36.04310   -115.236                                   20000           524
       4  36.04850   -115.244                                   21000           620
       

       
       It's hard to know but seeing that piece of art being listed on ebay without selling for over 3 years, seems strange because eBay listings expire in a few weeks, so they must kept renewing it, or have the direct support of ebay to have it permanently on display.
       Could be a way to artificially inflate the value, maybe a way to launder money using the art galleries.
       Thinking about it: it is very hard to assess the real value of pieces of arts, there's people that make that their profession.
       How do you prove wrongdoing in the the assesment of value of something of which there is only one in the world?
       Maybe related: The pipeline picked up some news articles that mention "Wilmer Ruperti", "New York City" and "Works of Art". Maybe it is a thing.
       

       ---

  • Leo Brito, the Venezuelan Managing Director at Goldman Sachs

    Leo is marked in Elon Musk's geo-index, was tagged by our pipeliene with the tag SEBIN and co-clustered with Nelson Lara and Wilmer Ruperti.
    

    ---

  • Roommate: Roberto Herrera Is Marked In Elon Musk's Geo-index

    This is another roommate Elon gave me in NYC. He is also marked in Elon Musk's geo-index.
    Roberto was more damaging to the world because he introduced Mariana Martin, the SEBIN agent that was posing as a "romantic interest" and managed to steal my Google corporate phone for one entire day. Roberto and Mariana were both tagged with the SEBIN tag by the pipeline months ago.
    

    ---

  • Roommate: Addison Landry Is Marked In Elon Musk's Geo-index

    1 West, New York City Is Flagged In Elon Musk's Geo-index. Addison was Tagged with "The Landlord Play", "Bugs".
    

    ---

  • Roommate: Victoria Fabiano (Googler) Is Marked In Elon Musk's Geo-index

    This is another roommate that Elon Musk assigned me to in NYC. This was around 2015. Same story as with Julio Alvarez and all other roommates.
    All the roommates have something in common, after we agreed on becoming roommates and I moved in, they very rarely were at home, I must have interacted with Julio, in 6 months, I think perhaps 4 or 5 times.
    Same with Victoria and Addison Landry, they were NEVER home, I think I only saw Addison one time at the apartment, and Victoria, maybe 2 or 3 times (during a period of almost one year).
    Of course, I didn't have a way of knowing this back then, but armed with the knowledge I have today, it seems obvious to me that they probably didn't even live there, it was a ruse to get me into an apartment owned by the PayPal Mafia and fitted with cameras and microphones and surveillance equipment to record me 24/7 and intercept the traffic of my Google Corporate Laptop so they could steal Google's Search Ranking code to build Liana Techonolgies and the Akamai Fake News machine.
    

    ---

  • Roommate: Julio Alvarez (ex-Googler) Is Marked In Elon Musk's Geo-index

    Julio Alvarez was the roommate that Elon Musk assigned to me in 2012 in NYC.
    After our interaction, Julio quit his job at Google and moved to the UK where he went on to become a succesful "life coach" and "influencer".
    The building where the apartment is located is marked in Elon Musk's geo-index. The exact address and apartment number should be recorded in Google payroll records. This was around January 2012 to July 2012.
    

    ---

  • Nicolas Maduro and Vladimir Padrino Lopez Insist On Applying Counter-Intelligence Measures Against the FBI On American Soil, Using The Safe-house they have at 2310 Britton Ridge Drive, Katy, TX 77494 (the house next to mine)

    [02/18/2025] This is the house exactly next to my house.
    Today, they did again the thing of opening the garage gate 10 minutes before Gloria came back home. They do this to turn off the bugs Vladimir Padrino Lopez put in Gloria's car.
    I know when Gloria is close by because I put a tracking mechanism in the car to not have to use the Tesla App for that (for obvious reasons).
    Vladimir, I wrote this to Edylberto Molina Molina arround 5 months ago: I know very little about geo-politics, I am illiterate in that sense, but from what I gather, I think Germany has been, in the last few decades, a fairly neutral country in terms of contentious international issues, unless … one goes mess arround around in Germany (or with Germans).
    He did not listen, and look what happened to him. Yes, one of my informants told me that that he was arrested too.
    It is not my place to give you advice, but I'd be cautious to not put something in motion that then you may not be able to stop.
    Back to the topic of this post, since they are obviously so focused on turning off those bugs every time Gloria comes in, I created a folder in the archive named "61__2310-Britton-Ridge-Drive-Katy-TX-77494", I will put there all the pictures I am able to take of their agents if I manage to get the face of the agent.
    
    
    
    
    

    ---

  • Google Chrome Has Been Flagged

    [02/18/2025] This was one of the first teams they captured at Google, even before Search.
    Two notable data-points: Kavita worked in the Chrome team when I met her (before I was hired by Google), and, the Chrome Integration with "Psychic" (query suggestions in the Chrome address bar) is probably the biggest channel of Internet espionage used by the PayPal Mafia, Vladimir Putin and Xi Jinping. I will demonstrate the mechanics of this technique of espionage to Google engineers if I get a chance to meet them.
    One important data point related to this: That Psychic Javascript end-point was written by Joseph Hurst, Andy Martone, Reinaldo Aguiar and Rui Lopes when they were under the management of Kyle Scholtz and Bharat Mediratta. The project was called "Pinto Modules" back then.
    The reason I say is "the biggest channel of espionage" is because every time you press a key while having the cursor on the address bar, it fires a request to the end-point, and because of the way the end-point was designed, it makes it trivial for the Paypal Mafia to see the contents of the requests, in other words: they can see every key you press while the cursor is in the address bar and in sequence.
    In plain English: They can see what websites you visit, when you visited them, and if you type a search query they can see what you were looking for and at what exact time and from what location.
    If I was tasked with protecting the privacy of individuals, I would shut down that integration immediately. Chrome has a market share of over 65.16% of the world population at the time of this writing.
    

    ---

  • The Place Where Jeffrey Baena Was Found Dead Is Flagged In Elon Musk's Geo-index

    There are several places near-by with paramilitary scores, many of the satellite images were tagged "Likely spy vehicles scanning the air parked on the streets".
    I haven't mentioned this before but this is a Russian invention. We ran analysis on Google Street view images, and the place on earth with most tiles flagged with this pattern: "vehicles parked on the streets and arranged in this recognizable fashion", on the entire planet, is Moscow.
    It's really ammusing to observe, many of the vehicles visible on street view, on the inside one can see the same gadgets they put on the cars here in Katy, it's amazing, in that sense Katy is a copy of Moscow.
    I imagine that's how they control the population in Moscow to prevent them from creating a real revolution, by parking hundreds of thousands of spy vehicles on the streets and tracking the movement of everybody.
    Anyhow, back to the unfortunate and untimely death of Mr. Beana:

          
    $ python3 -m spyhell     \
        --scan_area     \
        --latitude=34.10845415314288     \
        --longitude=-118.30898276502484      \
        --search_radius_feet=2300     \
        --search_type=paramilitary-assets     \
        --run_name="test"     \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    Using Backend: paramilitary-assets
    
     ======= 
    
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0   34.10740   -118.311                                    3000           220
    1   34.10650   -118.307                                    3000           284
    2   34.10545   -118.307                                  260000           380
    3   34.11225   -118.308                                    4000           431
    4   34.10610   -118.313                                    2000           453
    5   34.11085   -118.305                                    2000           454
    6   34.11230   -118.311                                   70000           465
    7   34.11300   -118.309                                   20000           504
    8   34.11300   -118.309                                    3000           504
    9   34.11300   -118.311                                    3000           537
    10  34.10980   -118.303                                    2000           572
    11  34.10325   -118.307                                    2000           606
    

    
    

    ---

  • ALL Au-pairs That Worked For Jillian Walsh Between 2012 and 2016 Are Marked In Elon Musk's Geo-Index

    They are not flagged because of this data point but it is a relevant data point so I am mentioning it here: All of them were French citizens, and were co-clustered by the Pipeline with Pierre Omidyar and Pavel Durov. To name one of the Au-pairs: Cece Brown.
    

    ---

  • Martin J. O'Malley Is Flagged In Elon Musk's Geo-index

    Additionally, Liana Techonologies is making incredible efforts to hide him on Google Search results, for instance, one can see this in the following image:
    Google thinks that a dentist in New York is more prominent than a former Governor and Head of the Social Security Administration of the entire country.
    Isn't this too obvious Samuli Tursas?
    
    Additionally, there seems to be high attrition in that position over the last two months. According to Google Search results: multiple people have been "Acting Director" of the Social Security Administration over the last couple of months. One would think that a position of such high level of responsibility, would take several months to fill (once).
    

    ---

  • Greetings From the Front-line to Vladimir Padrino Lopez and Nicolas Maduro

    Yesterday was my birthday!
    Looking at it in retrospective, the real miracle is that I did get to birthday #46!
    I mean, despite the several million dollars you have spent trying to make it not so =).
    Anyhow, posting a picture to mark the ocassion.
    
    Side-note: My eyes are a little bit red, but worry not, it's not the Norovirus. It's just that I've been working long hours developing a new nuclear weapon. It's almost ready =).
    

    ---

  • More Entities Being Spammed By Liana Technologies Were Detected

    Please see below, they all are added to the archive:

    $ ls -ltr RELEASE/notable-posts/50__Wikipedia/Images-used-to-spam-Google/
    total 21052
    -rw-rw-r-- 1 azure-kol azure-kol   99349 Feb 17 04:51 'Eric Adams'
    -rw-rw-r-- 1 azure-kol azure-kol  499775 Feb 17 04:53  Maxar
    -rw-rw-r-- 1 azure-kol azure-kol  617631 Feb 17 04:54  Akamai
    -rw-rw-r-- 1 azure-kol azure-kol  321614 Feb 17 04:54  H1
    -rw-rw-r-- 1 azure-kol azure-kol 3838401 Feb 17 04:56  Salesforce
    -rw-rw-r-- 1 azure-kol azure-kol   36284 Feb 17 04:56  Carta
    -rw-rw-r-- 1 azure-kol azure-kol   87691 Feb 17 04:57 'Luis von Ahn'
    -rw-rw-r-- 1 azure-kol azure-kol  128547 Feb 17 04:57  Yahoo
    -rw-rw-r-- 1 azure-kol azure-kol  521586 Feb 17 04:58  Target
    -rw-rw-r-- 1 azure-kol azure-kol 4354499 Feb 17 04:59  HAR
    -rw-rw-r-- 1 azure-kol azure-kol 2139597 Feb 17 04:59  Zelle
    -rw-rw-r-- 1 azure-kol azure-kol 4234514 Feb 17 04:59 'Chris Wright'
    -rw-rw-r-- 1 azure-kol azure-kol 1038974 Feb 17 04:59 'State Farm'
    -rw-rw-r-- 1 azure-kol azure-kol  469152 Feb 17 05:00 'Alvaro Gutierrez'
    -rw-rw-r-- 1 azure-kol azure-kol  360785 Feb 17 05:00 'Manuel Godoy'
    -rw-rw-r-- 1 azure-kol azure-kol  205750 Feb 17 05:00 'Vida Ha'
    -rw-rw-r-- 1 azure-kol azure-kol  144817 Feb 17 05:00  Ajeet
    -rw-rw-r-- 1 azure-kol azure-kol  921009 Feb 17 05:00 'Lorena Conde'
    -rw-rw-r-- 1 azure-kol azure-kol   65792 Feb 17 05:01 'Mariana Martin'
    -rw-rw-r-- 1 azure-kol azure-kol   74000 Feb 17 23:50  Kijiji
    -rw-rw-r-- 1 azure-kol azure-kol 1310720 Feb 17 23:50  Snowflake
    

    
    

    ---

  • https://angryloki.github.io/mreid-resolver/ Has Been Flagged

    [Technical Audience]
    This Github project is a fundamental piece in the Wikipedia attack against Google. The owner / maintainer of that github project must be an important part of the organization.
    Look for "angriloki" in this page: https://www.wikidata.org/wiki/Property:P2671
    

    ---

  • Lake Pro Inc - (281) 391-3688 Was Manually Flagged

    I've known since 07/2024 that they have surveillance equipment installed in that electrical box near the artificial lake in front of my house.
    Today, they seemed to be picking up something, I imagine given their dire circumpstances, maybe they were packing up the surveillance equipment Phillip Denning had installed there.
    I will take this as in "indeed I am talking to Vladimir Padrino Lopez now" and "Yes, Elon Musk was arrested".
    The second they saw me outside they left almost running in a hurry. Here is the video:
    
    Note: I felt like maybe they were baiting me, e.g. it was too easy and they made two attempts at "picking up the equipment" within a 45 minute window, but on this one it could go either way, they are desperate and sometimes they don't really think things through, so who knows.
    That said, this is indeed the same company that installed the equipment on July 2024. There was also a second company involved, called Lake Management Inc. (or something generic like that). It should be in the visitors log kept by the security guards of the Subdivision Lake Pointe Estates, please contact Post Oak Property Management to request a copy.
    

    ---

  • Liana Techonologies is Specially Focusing on Spamming Google For Four Specific Key Keywords

    [Technical Audience Recommended]
    We detected that Liana Technologies is doing something actually pretty cool, they are using Phonetic Matches combined with Synonyms hidden on Wikidata.org entities "Also known as" properties.
    They are spamming a lot of names of entities flagged on this page, but these four stand up in terms of the level of effort they are putting into spamming Google for four keywords (mentioning because this means the Vladimir Putin sees risk on these four keywords):
    1. Maxar
    2. Mariana Martin
    3. Manuel Godoy
    4. Alvaro Gutierrez
    The one where they are employing the "Phonetic Synonym match" technique is only "Hungarian" (Q133032) they use it to demote "Maxar", the phonetic match is: "Magyars" and they are stealling the topicality by adding the category "Category:Hungarian people" and using the concept ID 1906881 in the Russian Encyclopedia (https://old.bigenc.ru/text/1906881):
    (This page was last edited on 19 January 2025, at 11:28 by Sjoerddebruin)
    
    
    
    And to hide Mariana Martin:
    
    And to hide Manuel Godoy:
    
    And to hide Alvaro Gutierrez:
    
    For readers just joining us:
    • Mariana Martin: Venezuelan Intelligence Agent that stole my Google Corporate phone with access to Google Design Documents and Code.
    • Maxar: Satellite Imagery company controlled by the Russian Government. They use it to hide things from the public in Google Maps and Google Earth.
    • Manuel Godoy: Venezuelan Intelligence Agent. Got as payment the ownership of the Online Payments company "Felix Pago".
    • Alvaro Gutierrez: Venezuelan Intelligence Agent. Received a payment estimated to be around 25 Million USD for stealing the code of Calculado Health.
    Could be important because knowing what they fear, well, could mean they know they have exposure they didn't cover on those areas.
    Risking to state the obvious: One way to cut them off so they can't manipulate Google Rankings at least for the next few days, would be to "freeze" Wikipedia ingestion in Google Indexing team, not necesarily kill Wikipedia ingestion, just freeze it, so any edits they make don't get into the index. That would bring Liana Technologies to halt in a second, and it is literally one line of code change in Google codebase.
    

    ---

  • Samuli Tursas, CEO of Liana Techonologies and Mira Welling (Land Rover, Inchcape Motors Finland) are both Flagged in Elon Musk Geo-index

    This is a good one.
    ALL the clients of Liana Technologies that are on the Fortune500 list, are marked in Elon Musk's Geo-index.
    They have over 3500 clients, the pipeline can't see the full list, but I imagine for law enforcement it would be trivial: I was a law enforcement agency, I would look for companies that declared expenses paid to Liana Technologies among the tax records, and then check the headquarters against the public datasets.
    Remember that Liana Techonologies is the "comercial version" of the fake news machine the PayPal mafia operates.
    In a way, it's a racket very similar to what the Italian mafia used to call "The pizzo" (protection money).
    If you don't pay Liana Techonologies, the PayPal Mafia erases you from Google, and of course, Liana Technologies is very expensive.
    

    ---

  • The Tesla Showrooms

    Most of them either have paramilitary points flagged by Elon Musk's geo-index inside the the perimeter, or within 1,000 feet from the centroid.
    One concerning one is a showroom located near Katy TX. It has paramilitary positions near-by with very high scores, comparable to the presidential compound in Iran.
    In the example below, one of those points is Harley-Davidson dealership (Harley-Davidson has been flagged by our pipline for months).

    $ python3 -m spyhell \
        --scan_area \
        --latitude=29.912785554275843 \
        --longitude=-95.61507699189279 \
        --search_radius_feet=2300 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  29.90935  -95.61720                                  990000           433
    1  29.91210  -95.61040                                   10000           458
    2  29.91630  -95.61255                                  222000           460
    3  29.91470  -95.61040                                 3977000           499
    4  29.91520  -95.61990                                  657000           537
    5  29.91315  -95.62095                                 1343000           569
    

    
    Before I forget: "Primo" is a prominence marker related to the SEBIN, that's why all the prominent Venezuelan agents in Katy call themselves "primos" (cousins).
    They are not really cousins, it is a way of them identifying themselves as part of an elite group.
    This is why Francisco Castillo, Daniel Parra and Marcos Castillo called themselves cousins among them, although they are not really related.
    I remembered to mention this because near the Harley-Davidson dealership noted above, there is a pre-school called "Primrose School at Crossroads Park", and "Primrose" is one character away from "primo", that tripped a filter. I didn't check if it is specifically marked in the index, but seeing it made me remember that I've been meaning to mention about this marker but haven't.
    One way to identify Venezuelan agents in Katy, could be finding whatsapp chats of people calling others "primo" in whatsapp groups (Daniel/Francisco/Marcos did this consistently every time we interacted in those whatsapp groups).
    

    ---

  • Message To Our Readers Asking About Marcelo's Health

    [02/16/2025] We have received a lot of messages asking about Marcelo's health after he was infected with Bird Flu by Wilmer Ruperti and Vladimir Padrino Lopez.
    We are not able to respond individually to your messages at this moment, not because of lack of appreciation, but as a measure to protect the integrity of our secure internet channel:
    The PayPal Mafia has this trick where they send you an email, and because they know the contents of the email (they sent it), if you open the message and they catch the down-link of your internet connection they can see the encrypted equivalent of the message, and with those two pieces of information they can find the network encryption key and decrypt ALL your internet traffic.
    So I can't reply to the messages in case one of them is coming from them. This way, they don't have confirmation if I read it or not, or when.
    But we wanted to take a moment and thank you all for the messages. We really appreciate them.
    For readers unaware of what happened with Marcelo: The day I published the journal entry about the Bizarro diplomats and Wilmer Ruperti being the Bizarro-embassador to the US, Wilmer Ruperti and Vladimir Padrino Lopez dispatched military personnel they have here in Katy and infected Marcelo with a very strong strain of the Bird flu.
    Their goal was to cause a medical emergency strong enough that would make me leave my house, so they could then get to me. For context: I haven't been outside of my house for 63 days straight at this point. I haven't seen natural light in 63 days.
    So last Saturday 02/08 when Marcelo developed the full symptoms, it was really scary, he was having such difficulty breathing that I thought he could have a respiratory arrest.
    Gloria wanted to take him to the Emergency Room, but I knew that was exactly what they wanted. In an emergency room it would be trivial for them to harm him, and that threat alone could be enough to get me out of the house.
    Thankfully we had some medications left from when they fake-diagnosed him with an "hemangioma" when he was 10 weeks old and they wanted to put him under anesthesia and operate on him. That's another whole story.
    We used the medication that night and prayed for him to get better. Thankfully he responded to it and survived, but I can honestly say that for a moment I thought of the possibility that he might die at home if I didn't take him to the ER, and that he might die at the ER if I took him there.
    They do use doctors to harm people, and as I said before, they are forced to "own" all the clinics in Katy Texas, for purely operational reasons.
    Thankfully, Marcello fully recovered after 4 days fighting the Bird flu with the help of the medicines we have, and he is a happy boy again.
    We really thank all of you for your prayers and support.
    Gloria and Reinaldo
    

    ---

  • To The Commander Of The Venezuelan Armed Forces Operating in Katy Texas United States of America

    February 16, 2025
    Katy, Texas, United States of America
    Dear Sir,
    It's a bit inconvenient to write a message not knowing who am I addressing exactly at this point.
    I guess I ran out of commanders that had houses on the public records in the US and that's maybe why the Pipeline hasn't been able to find the name of next military officer in the chain of command, yet.
    I don't know if I could be talking to Vladimir Padrino Lopez at this point?
    Anyhow, to whom it may concern:
    As mentioned before, now that I have a phone and internet communications that cannot be intercepted by the PayPal Mafia with their tricks, I have developed a couple of informants within your ranks.
    They told me something that sounded right out incredible: they told me that Elon Musk was arrested days ago. I asked them if they were 100% sure, one of them said "95% sure", another informant said "I've heard a lot of rumors".
    This is important because if the richest man on the entire planet, can be arrested for his crimes, well, that strengthens my resolve.
    Since I have given you tips in the past to help you not burn agents in vain, would you reciprocate and fly a Falcon above my house if the answer is "yes, that is correct"?
    Thanks for considering this request,
    Very truly yours,
    Reinaldo Aguiar
    ------- Message in Spanish just in case the new commander is dispatching orders from Caracas ------
    ------- Mensaje en español solo en caso de que el nuevo comandante este despachando desde Caracas ------
    

    Para El Comandante De Las Fuerzas Armadas Venezolanas Operando En Katy Texas Estados Unidos

    16 de Febrero, 2025
    Katy, Texas, Estados Unidos de America
    Estimado Comandante,
    Es un poco inconveniente escribir sin saber exactamente a quien dirijir el mensaje. Me imagino que es que ya acabe con todos los comandantes que tenian casas registradas a su nombre en Estados Unidos y por eso la plataforma de Key Opinion Leaders no ha podido dar con el proximo en la linea de mando, por ahora.
    No se si estare ya en este punto interactuando con Vladimir Padrino Lopez?
    En todo caso, a quien corresponda:
    Como he mencionado un par de veces antes, ya que ahora tengo acceso a un telefono y comunicaciones via internet que no son interceptables por la Mafia de Paypal y sus trucos, he desarrollado un par de informantes dentro sus filas.
    Mis informantes me dicen algo que me resulta dificil de creer: Me dicen que Elon Musk fue arrestado dias atras. Les pregunte si estaban 100% seguros, y uno de los informantes me dijo "95% seguro", la otra persona me dijo "He escuchado muchos rumores".
    Esto es importante para mi y deverdad me gustaria saberlo, porque si la persona mas rica del planeta puede ser arrestada por sus crimenes, pues, esto haria mas fuerte las convicciones que me trajeron hasta aqui.
    Ya que yo les he dado sugerencias a ustedes en el pasado para ayudarlos a no quemar agentes en vano, consideraria usted volar un avion Falcon sobre mi casa si la respuesta es "Si, es correcto"?
    Gracias por considerar esta solicitud,
    Sinceramente,
    Reinaldo Aguiar
    

    ---

  • The Celebrities Pipeline

    There are a lot of statistical anomalies surrounding a small group of Holliwood celebrities.
    There are a few different clusters around different things. All of them own or have owned property that is marked on Elon Musk's Geo-index, that's the one thing they all have in common.
    Some of the subclusters the pipeline picked up are things like "House burnt", "Saturday Night Live", "Comedians", "House over 12 Million Dollars". Some people belong to one cluster, some others belong to another, some belong to more than one cluster. I have to look into this in more detail, this definetly looks like something that warrants more in-depth debugging. Some names that have came up: Mariah Carey, Alec Baldwin, Julia Louis-Dreyfus, Billy Idol, Kevin Spacey.
    Alec Baldwin could be concerning because of the Accidental shooting recently, I know Elon Musk loves "accidents". It is possible he was setup by Elon Musk or someone from the PayPal Mafia using Elon Musk's secret platform. The location where the accidental shooting happened is marked in Elon Musk's geo-index:

    python3 -m spyhell \m spyhell \
        --scan_area \
        --latitude=35.54344831168838     \
        --longitude=-106.09789049772532 \
        --search_radius_feet=1300 \
        --search_type=spy-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    Using Backend: spy-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  35.54625   -106.099                                       4           327
    1  35.54000   -106.097                                       2           391
    

    
    There is a point near-by that falls in a (maybe) manipulated Satellite image: 35.54402214295632, -106.1028153958695. The tile belongs to Airbus Maxar Techonologies, again this time. If it was manipulated, kuddos to them, they are getting better at it very fast.
    Side-note: 12 Million Dollars seems to be the magic threshold in terms of house vallue in Los Angeles for these clusters (one needs to look at houses that have a FMV of 12M or more in that area).
    

    ---

  • Jonah Alben, NVIDIA SVP Head of Engineering Is Marked In Elon Musk Geo-index

    Super-flagged.
    

    ---

  • Bond Cay, Shakira's Private Island in The Bahamas: Is Marked in Elon Musk's Geo-index

    python3 -m spyhell \
        --scan_area \
        --latitude=25.477983751940844    \
        --longitude=-77.73516781823734 \
        --search_radius_feet=1000 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0   25.4796    -77.735                                  155000           180      
    

    
    

    ---

  • Meyer Malka Is Flagged In Elon Musk's Geo-Index

    According to the New York Times: Meyer Malka, the Venezuelan founder of Ribbit Capital, is one of the few Latin Americans to crack Silicon Valley's top echelon.
    Yes, we all know how you cracked Silicon Valley, Meyer.
    

    ---

  • Al Yamamah Palace, Saudi Arabia

    I will need to take classes on world and diplomatic affairs.
    This is a royal member.
    
    

    python3 -m spyhell \
        --scan_area \
        --latitude=24.662748527549212   \
        --longitude=46.63635670885605 \
        --search_radius_feet=4000 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0   24.66300   46.63590                                    5000            54
    1   24.66300   46.63590                                    5000            54
    2   24.66145   46.63955                                  714000           354
    3   24.66600   46.63380                                   12000           443
    4   24.66115   46.63205                                  490000           471
    5   24.66700   46.63590                                  118000           473
    6   24.66740   46.63490                                  569000           536
    7   24.66400   46.64225                                   12000           612
    8   24.66440   46.63055                                 1695000           616
    9   24.65805   46.64000                                  780000           638
    10  24.66900   46.63650                                   36000           693
    11  24.66200   46.62850                                    4000           800
    12  24.66200   46.62850                                    4000           800
    13  24.66645   46.62900                                 3336000           850
    14  24.65530   46.63425                                  477000           852
    15  24.65700   46.64225                                  148000           873
    16  24.65700   46.64225                                  148000           873
    17  24.67055   46.63955                                 4363000           923
    18  24.66115   46.64640                                 2561000          1032
    19  24.67200   46.63490                                   10000          1035
    20  24.67200   46.63490                                   46000          1035
    21  24.66200   46.64745                                    2000          1126
    22  24.66200   46.64745                                    2000          1126
    

    
    

    ---

  • A Hell of a Coincidence

    Just three days after I captured Elon Musk's Geo-index, right after I announced here that I had created SpyHELL, someone registered the domain spyhell.com =).
    I can't see who registered the domain name because they set the registration as "private", but I imagine an entity with higher powers could see that information.

    Domain Name: SPYHELL.COM
    Registry Domain ID: 2916722401_DOMAIN_COM-VRSN
    Registrar WHOIS Server: whois.namecheap.com
    Registrar URL: http://www.namecheap.com
    Updated Date: 2024-09-14T00:46:07Z
    Creation Date: 2024-09-14T00:45:47Z
    Registry Expiry Date: 2025-09-14T00:45:47Z
    Registrar: NameCheap, Inc.
    Registrar IANA ID: 1068
    Registrar Abuse Contact Email: abuse@namecheap.com
    Registrar Abuse Contact Phone: +1.6613102107
    Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
    Name Server: DNS1.NAMECHEAPHOSTING.COM
    Name Server: DNS2.NAMECHEAPHOSTING.COM
    DNSSEC: unsigned
    

    
    They really don't think these things through. As said before: They are bad software engineers, incredible villans though.
    For comic relief: Around 5 or 6 years ago, I wanted to register a domain for HealthMetrica, and because I knew I was under surveillance and didn't want the PayPal Mafia to find the domain until I had published the application, I naively, asked Nelson Lara to register the domain using his email address =).
    It was naive of me because well, Nelson Lara was an agent of the PayPal Mafia and the SEBIN since before I met him, and the PayPal Mafia owns all domain registrars on the planet and have the ICANN and all similar authorities under their control. Even if Nelson wasn't an agent, they would have seen the domain registration anyways.
    So now, Nelson Lara has the domain hostage. I asked him to reset the password for me around 9 months ago (so I could change the registered email), he told me that he never got the password reset link after trying several times. That was the last time I spoke to him.
    

    ---

  • The Law Firm That Handled My Patent Applications While I Was Employed As A Software Engineer At Google, Is Flagged In Elon Musk's Geo-index

    Not surprising.
    I imagine if they don't own ALL Intelelctual Property related law firms in Silicon Valley, New York, Toronto and London, they probably own 99% of them.
    I am saying this based on my experience seeing them operate at close range for over 20 years: If they take one road, they always take all similar roads, they never make a move half way.
    I need to configure a run of the Verticals Pipeline to look for Intellectual Property Law firms marked in Elon Musk's geo-index.
    Note for Law Enforcement in case anyone is watching this website: These are my Google patents:

    • Method for building, expanding or complementing a social graph based on contact information

      Patent number: 9275419

      Abstract: A system and machine-implemented method includes receiving, using the one or more computing devices, a contact list associated with a first account of a first user on a first service, the first user having an account on a social networking site and the first service being different from the social networking site, receiving, using the one or more computing devices, at least another contact list associated with an account of another user, analyzing, using the one or more computing devices, the contact list with respect to the another contact list in order to determine a shared metric between the lists, and based at least in part on the determined shared metric, suggesting to the first user, the another user as a friend in the social networking site.

      Type: Grant

      Filed: April 30, 2012

      Date of Patent: March 1, 2016

      Assignee: Google Inc.

      Inventor: Reinaldo Javier Aguiar Marcano

    • SERVING COMBINED RESOURCES TO A BROWSER CLIENT

      Publication number: 20150205766

      Abstract: In serving combined resources from a server computer to a browser client, a server computer retrieves an individual document that includes multiple requests for resources. The server computer generates a modified individual document by using a server-generated Uniform Resource Locator (URL) to represent the multiple requests for resources in the individual document. The server computer sends, to the browser client, the modified individual document. The server computer receives, from the browser client, a request matching the server-generated URL. The server computer generates a combined resource set in response to receiving the request matching the server-generated URL. The server computer sends, to the browser client, the combined resource.

      Type: Application

      Filed: March 8, 2012

      Publication date: July 23, 2015

      Applicant: GOOGLE INC.

      Inventor: Reinaldo Javier Aguiar Marcano
    
    

    ---

  • Alejandra Troconis / Javier Troconis and Jorge Troconis Are Flagged In Elon Musk's Geo-index

    They were co-clustered with: Jillian Walsh and Rosana Finol Reina.
    Notes:
    1. Rosana Finol's father, while in Maracaibo, was neighbors with Alejandra's father and General Rosendo (they all lived in the same street or very close by each other).
    2. Alejandra Troconis in Montreal was friends with a Colombian couple. The man (name is missing) was a technology consultant, I belive could have been a "SAP" consultant. I believe they were Alejandra's handlers. I only met them face to face once but from what I recall, on 2014: the man was probably 5'11 or 6'0, around 200 lbs at the time, very short hair (black), skin color similar to mine.
    3. As soon as I started commuting from Montreal, Oksana Yakhnenko declared at Google that she was joining the Circus, kid you not. As part of her training program she needed to work from the Montreal Office (same as I was doing) because her trainer was a member of the Cirque Du Soleil. She started commuting frequently from Montreal too. Looking at it in retrospective, Oksana basically follwed me everywhere I went for the last 14 years, even when I moved to Texas permanently, she moved to Texas too. Maybe she is higher up within the FSB ranks than I thought before.
    
    

    ---

  • Podcast About The Immune Geo-Entities

    Watch the Podcast on YouTube
    
    

    ---

  • The Wreckage of the K-278 Komsomolets Russian Nuclear Submarine Is Flagged In Elon Musk's Geo-index

    I imagine there could be just two or three countries looking for this Wreckage. Elon must be working for one of them.
    

    $ python3 -m spyhell \
        --scan_area \
        --latitude=73.7197   \
        --longitude=13.2757 \
        --search_radius_feet=1500 \
        --search_type=spy-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: spy-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  73.71920   13.28470                                     240           287
    1  73.72075   13.28680                                     594           367
    2  73.71605   13.27525                                      42           408
    3  73.71605   13.26530                                     168           521
    4  73.72385   13.26745                                      33           530
    5  73.72560   13.27165                                      64           671
    6  73.71340   13.27165                                     180           714
    7  73.72655   13.26945                                     464           789
    

    
    

    ---

  • [02/15/2025] I Am Looking For Two Volunteers To Work With Me On Data Curation for BizarroWikipedia.org

    The Only Requirement: Applicants need to be an active FBI, RCMP or MI5 employee with security clearance.
    The goal is to work with me curating www.bizarrowikipedia.org. There's currently no way to register for an account on the website (I closed the registrations for obvious reasons, they are predators), but if anyone has time to help, I would create accounts for you. I would really appreciate your help.
    This will be a quick project, maybe one week long, 1 hour per day, so it would take 5 hours of your time.
    For interested parties: Please email me from your official government-domain email account to: reinaldo at reinaldo.ca.
    I look forward to working with you!
    Very Truly Yours,
    Reinaldo Aguiar
    

    ---

  • A Rare Oportunity To Acquire State of the Art Surveillance Equipment Made By The Chinese Government and the Russian Government (and used by the Chinese, Russian, Iranian, Indian and Venezuelan Intelligence Services in Katy TX)

    
    [02/15/2025] There is a project I want to build to demolish the criminal ring, but to run it I need to buy three HPE Superdomes to pull it off.
    To finance this project, I am offering for sale the Red Tesla (the KOL-Mobile V1), which is armed to the teeth with state of the art surveillance equipement installed by the PayPal Mafia without my consent or knowledge.
    There is no way to really price that surveillance equipement because those governments don't sell them on the open market, they are War weapons to them, but looking at the sophistication of the different components I imagine there is at least USD 500,000 worth of surveillance equipment inside and outside that car.
    So I will offer the car for sale for 1,000,000, I will buy the 3 Superdomes to help the world get rid of the criminal ring forever and whatever is left I will donate to organizations fighting missinformation and technology deregulation. I will post the donation recipts and the HPE invoice on the site, without delay, to make sure there is no misinterpretation possible.
    For interested parties: Please email me at: reinaldo at reinaldo.ca. I would only do this over email. I can't meet, talk on the phone, show or demo the car for security reasons.
    The sale is final and I will ship the car using a service I will pick. No returns or refunds for any reason. Buyer is responsible for shipping and any taxes or import costs if applicable.
    The car is registered in Texas and will ship from Katy, TX 77494.
    I will post it on eBay and Autotrader just for kicks.
    On the first picture, if you zoom in, you can see a young Chinese agent that got accidentally caught by the camera while he was trying to download data from the bugs in the car while pretending to be riding a bicycle (they can't help themselves).
    
    
    
    

    ---

  • Ashley St. Clair Was Flagged By The Pipeline

    I wont say much about this but the signals suggest something about a 180,000 USD per year (after-tax money) apartment in New York City. The pipeline flagged this as likely to be a statistical anomaly based on the occupation and age group of Mrs. St. Clair, in other words, just to pay the rent, she would have to make over 320,000 USD in salary living in New York City, just to pay the rent, not spending one cent in the entire year. According to public data, this is very unlikely. She was tagged with the "Failure to Report Income" and "Failure to pay Taxes" tags.
    Related to this, Elon Musk got one more tag assigned by the pipeline: the "Failure to report Gifts or Withhold Taxes" tag.
    Mrs. St. Clair was co-clustered with Vivek Ramaswamy, Kash Patel and Elon Musk (who all are flagged in Elon Musk's Geo-index).
    I will of course send the IRS two forms 211 related to this. We all should pay taxes equally.
    
    
    
    
    
    

    ---

  • And ... 5 minutes later I find this gem:

    [5 minutes later] It's a monologe of Elon hosting Saturday Night Live, it's basically an informercial: he claims to be sending people to Mars, to have reinvented electric cars, and pushes Dogecoin with his mom standing next to him.
    I say "he claims" because according to his own Geo-index, Tesla is a Chinese techonology company and he is the frontman. The same thing is the case with SpaceX.
    Elon, at the start of his infomercial, makes sure to mention that he has "Aspergers", this is a technique to lower your psychological resistance to what he is about to say.
    Knowing what I know, and having seen all I have seen over the last 20 years, what I see on this video is a conman performing.
    Watch The Elon Musk's monologe on YouTube
    
    It was amusing to watch Elon talk about people that had hosted SNL and "killed", making a joke about OJ Simpson ... but didn't include himself on the list.
    Side-note: RE: the thing about the Aspergers comment: I've seen that technique dozens of times, all their agents did that to me in the form of: "Could I borrow $500 from you to pay rent?" or "I am working cleaning floors on this survival job =(". As it turns out, all those agents were in better financial position than me because Elon Musk had paid them millions of dollars in crypto currency and real estate properties completely paid off.
    It's just a way to position the really dangerous individual as a person at a disadvantaged position. They know most people have the empathy gene, so you tend to be more helpful and therfore more open and vulnerable to what they want to achieve. It's a manipulation tactic.
    IMPORTANT Note: I am not saying "Aspergers" is a disability or a disadvantage, I am not saying that, Elon is implying that when he says "I am the first person to admit it on SNL", implying it is something people are generally ashamed of, he is positioning it that way for the purpose of manipulating the audience.
    

    ---

  • Experimental Idea: Buckle Up and Have a Look Inside!

    [Technical audience recommended]
    [02/15/2025] This is an experimental pipeline, very early stage, but I think it is on to something.
    The problem we are looking to solve with this pipeline is: Multi-tenancy disambiguation.
    The term sounds complicated but it is in reality a simple idea: Imagine a building that has many different companies inside, and someone tells you "someone in the building committed a crime" (nothing else), how do you find the (alleged) offender? Could be in any of the companies operating inside of the building.
    In this analogy "somebody committed a crime" is code for "there are markers in Elon Musk's Geo-index that fall inside the building".
    So we came up with a way of using a combination of the "Building Layout" Google Maps APIs, KOL's influence data, public sources and the Geo-index, to rank with heuristics what parts of the building could fall on those coordinates, and rank them by Internet popularity.
    So if a building has multiple floors, for a given coordinate you would end up with a series of candidates at different altitudes in the building, ranked by a mix of a popularity and probability of being related to Elon Musk.
    So with a couple of hours of cool python and javascript programming, I integrated this into SpyHELL, and it flagged a lot of interesting things, I am not going to post them yet because I need to debug in depth first, but there was one that definitely got my attention: It's likely to be studio 8H inside the NBC's headquarters at 30 Rockefeller Plaza in New York City.
    There are many shows that film there, so there is another layer of obfuscation there, and I am debugging, but the top candidate so far is: Saturday Night Live.
    There are lots of paramilitary positions flagged in Elon Musk's Geo-index with paramilitary scores surrounding the 8H studio at NBC.
    I will debug more to see if there are any associations between Elon Musk and Saturday Night Live, but for the moment, Saturday Night Live seems to be flagged in Elon Musk's Geo-index.
    Here are some of the markers nearby sorted by distance to the centroid picked by google maps (which the PayPal Mafia moves around at will for any building or landmark in the world):
    

    $ python3 -m spyhell \
        --scan_area \
        --latitude=40.75939501429838  \
        --longitude=-73.97996666913298 \
        --search_radius_feet=1500 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0    40.759450 -73.980400                                   63000            37
    1    40.759800 -73.979900                                   25000            45
    2    40.758300 -73.979900                                   15000           122
    3    40.758300 -73.980400                                   15000           127
    4    40.758800 -73.981450                                   12000           142
    5    40.758300 -73.980850                                   12000           143
    6    40.759800 -73.978275                                   20000           150
    7    40.759800 -73.981900                                   40000           169
    8    40.759800 -73.981900                                  343000           169
    9    40.760950 -73.979900                                   98000           173
    10   40.758300 -73.981450                                    6000           175
    11   40.757700 -73.979900                                    5000           188
    12   40.757700 -73.980400                                    5000           192
    13   40.759800 -73.977733                                   21000           194
    14   40.757700 -73.979367                                    3000           195
    15   40.757700 -73.980850                                    4000           202
    16   40.760950 -73.981450                                   63000           213
    17   40.760950 -73.978275                                   28000           224
    18   40.760950 -73.978250                                  594000           225
    19   40.757700 -73.981450                                    2000           226
    20   40.757350 -73.979900                                   10000           227
    21   40.759450 -73.977250                                    4000           229
    22   40.757350 -73.980400                                   10000           230
    23   40.757350 -73.979367                                    6000           233
    24   40.759800 -73.977250                                   10000           234
    25   40.760950 -73.981900                                   32000           238
    26   40.758300 -73.982500                                    6000           246
    27   40.757700 -73.981900                                    3000           249
    28   40.760950 -73.977733                                   12000           256
    29   40.758300 -73.977250                                   26000           260
    30   40.759450 -73.983100                                    4000           265
    31   40.757700 -73.977733                                    3000           266
    32   40.757350 -73.978275                                   14000           268
    33   40.759800 -73.983100                                   10000           268
    34   40.759800 -73.976700                                   25000           279
    35   40.758800 -73.976700                                   10000           284
    36   40.760380 -73.983100                                   28000           286
    37   40.758300 -73.983100                                    6000           291
    38   40.761433 -73.977733                                    9000           295
    39   40.757350 -73.977733                                    6000           295
    40   40.759450 -73.983475                                    8000           296
    41   40.761900 -73.978767                                    9000           296
    42   40.757700 -73.977250                                    2000           297
    43   40.759800 -73.983475                                   20000           300
    44   40.761900 -73.981450                                   36000           305
    45   40.756650 -73.979900                                  842000           305
    46   40.756620 -73.979900                                   25000           308
    47   40.756620 -73.980400                                   25000           310
    48   40.756620 -73.979367                                   15000           312
    49   40.757350 -73.982500                                    6000           312
    50   40.760380 -73.983475                                   20000           316
    51   40.756620 -73.980850                                   20000           317
    52   40.758300 -73.983475                                   12000           320
    53   40.757350 -73.977250                                    4000           323
    54   40.761900 -73.981900                                   26000           323
    55   40.756620 -73.978767                                   15000           324
    56   40.760950 -73.976700                                   35000           325
    57   40.759450 -73.976100                                    8000           327
    58   40.758800 -73.976100                                    8000           333
    59   40.756620 -73.981450                                   10000           333
    60   40.761900 -73.977733                                    9000           336
    61   40.756620 -73.978275                                   20000           340
    62   40.760950 -73.983475                                   16000           343
    63   40.760380 -73.976100                                   65000           344
    64   40.758300 -73.976100                                   12000           348
    65   40.756620 -73.981900                                   15000           349
    66   40.759450 -73.984100                                   28000           349
    67   40.757350 -73.983100                                    4000           349
    68   40.761900 -73.982500                                   30000           351
    69   40.757700 -73.983475                                    4000           351
    70   40.756200 -73.979900                                   10000           355
    71   40.762533 -73.980850                                   27000           356
    72   40.757350 -73.976700                                   10000           357
    73   40.761433 -73.976700                                   15000           357
    74   40.756200 -73.980400                                   10000           357
    75   40.756200 -73.979367                                    6000           358
    76   40.761900 -73.977250                                    6000           361
    77   40.756200 -73.980850                                    8000           363
    78   40.759450 -73.975625                                    8000           367
    79   40.759800 -73.975650                                 2436000           367
    80   40.756100 -73.980400                                   15000           368
    81   40.760950 -73.976100                                   32000           369
    82   40.756100 -73.979367                                    9000           369
    83   40.756200 -73.978767                                   21000           369
    84   40.758300 -73.984100                                   12000           370
    85   40.756100 -73.980850                                   12000           373
    86   40.758800 -73.975625                                    8000           373
    87   40.756620 -73.982500                                   10000           375
    88   40.756200 -73.981450                                    4000           376
    89   40.762533 -73.978275                                   12000           377
    90   40.756100 -73.978767                                   15000           380
    91   40.756200 -73.978275                                    8000           382
    92   40.760380 -73.975625                                   20000           383
    93   40.762850 -73.980400                                   43000           385
    94   40.756100 -73.981450                                    6000           387
    95   40.756200 -73.981900                                    6000           391
    96   40.756100 -73.978275                                   12000           393
    97   40.762533 -73.977733                                    9000           396
    98   40.762850 -73.978767                                   21000           397
    99   40.756100 -73.981900                                    9000           401
    100  40.762850 -73.981450                                   10000           404
    101  40.759450 -73.975050                                    4000           415
    102  40.755650 -73.979900                                   10000           416
    103  40.759450 -73.984900                                    2000           417
    104  40.755650 -73.980400                                   10000           417
    105  40.759800 -73.975050                                   30000           418
    106  40.759800 -73.984900                                    5000           419
    107  40.755650 -73.980850                                    8000           423
    108  40.755650 -73.981450                                    4000           434
    109  40.763400 -73.979900                                    5000           445
    110  40.763400 -73.979367                                    3000           448
    111  40.763400 -73.980850                                    4000           451
    112  40.763400 -73.978767                                    7000           456
    113  40.755000 -73.979900                                   15000           488
    114  40.755000 -73.980400                                   15000           489
    115  40.755000 -73.979367                                    9000           491
    116  40.755000 -73.980850                                   12000           494
    117  40.764080 -73.979900                                   25000           520
    118  40.764080 -73.980400                                   25000           522
    119  40.764080 -73.979367                                   15000           523
    120  40.754550 -73.979900                                   20000           538
    
    

    
    

    ---

  • To Whoever Is The Commander these days: Okay ... I will tell you how I do it

    [02/15/2025] I can tell you are acting erratically trying to catch the downlink with planes and vehicles.
    The planes I already told you how I avoid them: with a $50 microphone that listens for sounds likely to be airplanes and analyzes the pitch and decay, and I consistently detect them more than 10 seconds before they can pass over the effective zone.
    So you are wondering why the cars are not working anymore. I will tell you because I feel bad for all these agents you are burning.
    I integrated the wide angle camera, which has a low latency channel into the system, as soon as the camera detects movement likely to be a moving vehicle, a moving bicycle, a pedestrian, a dog walker, or a stand alone dog, the system shuts down the network, same idea as with the microphone for the planes, but the input is visual instead of stereo audio.
    Since I don't have any needs for real time communication in this system, I can shut that network down any number of times needed, it's not a big deal if I publish something 60 seconds later, I am in no rush, I can do this forever.
    Side-note: I didn't know whom to address this note to because, as I mentioned before, I have developed a couple informants within the PayPal Mafia, and they tell me there are rumors that Ruperti was arrested. They weren't sure, but they mentioned there were rumors. They also said you were not able do "the switch" because the team was unable to find a double for Ruperti.
    

    ---

  • Timeline of Main Events

    Pre-September 2024 (Prior to capture of the geo-index):

    • Elon Musk and the PayPal Mafia develop and utilize a "secret" geo-index with paramilitary and espionage markers.
    • The geo-index is used to mark locations, including those of celebrities, government buildings, and businesses, with "evil scores."
    • The "Immune Geo-Entities Pattern" is implemented by Elon Musk and the PayPal Mafia.

    Around September 2024:

    • The geo-index is captured and its analysis begins.
    • A "pipeline" is developed to analyze the data in the geo-index.

    Late 2024 - Early 2025 (Ongoing Analysis):

    • The "pipeline" detects cargo ships and oil tankers navigating via points marked in Elon Musk's geo-index.
    • Locations are scanned using spyhell (a command-line tool) at various coordinates, with search radii, and search types (paramilitary, spy assets).
    • Locations associated with celebrities (Drake, Paul McCartney, Russel Simmons), figures like JD Vince, and other key locations are found to have paramilitary markers.
    • Evidence of potential antitrust violations, drug trafficking, human trafficking, sex trafficking, terrorism, sanctions violations, piracy and murders is uncovered.

    02/08/2025

    • Luis von Ahn flagged by pipeline.

    Around 02/10/2025:

    • The author is working on SpyHELL and notices something strange regarding the "vessel" query.
    • Author sends FOIA requests to DEA and FBI.

    [Date unspecified]:

    • The full datasets for spy assets and locations used by Elon Musk and the PayPal Mafia are released.
    • "Musk Qbits" are introduced – a system for partitioning the Earth and ranking areas based on aggregated "evil scores."
    • Version 1.03 of SpyHELL tool is released.

    [Date unspecified]:

    • Elon Musk and the Paypal Mafia is releasing the counterintelligence datasets for: The African Continent, Latam and Mexico.

    Ongoing (Implied Present):

    • Analysis of the geo-index and related data continues.
    • Legal warnings ("Aiding and Abetting") are issued to members of the "criminal ring."
    • Robert Gates List is published.

    Cast of Characters

    • Elon Musk: Entrepreneur and business magnate. Implicated as the "visionary behind the Evil machine" and the creator/user of the geo-index used to mark locations and entities.
    • PayPal Mafia: A group of former PayPal employees implicated in the misuse of the geo-index and potential violations of antitrust laws, drug trafficking, etc.
    • Drake: A Canadian rapper and actor whose house is flagged with paramilitary markers in the geo-index.
    • Paul McCartney: A muscian and song writer with paramilitary markers on his East Hamptons estate.
    • Russel Simmons: Entrepreneur who is implementing the "Immune Entities Pattern".
    • JD Vince: An individual whose house and surrounding area have a high concentration of paramilitary markers in the geo-index.
    • Luis von Ahn: Flagged by pipeline on 02/08/2025.
    • David F. Hine: Interceptor of Legal Instruments / Recipient of the legal notices being sent.
    • Cory or Cody: FBI agent who did an interview.
    • Bryan Stanley: Husband of Melissa Fanti.
    • Melissa Fanti: Daughter of Carmen de Fanti.
    • Carmen de Fanti: Mother of Melissa Fanti.
    • Francisco Castillo: Friends with Bryan and Melissa Stanley.
    • Robert Gates: The "Robert Gates List" is published.
    • Edylberto Molina Molina: Business partner of the members of the criminal ring.
    • Travis Kalanick: Shined during calculating and transmitting the series of "driving directions"

    ---

  • 3525 Scout Island, Katy TX 77494 Was Flagged By The Pipeline

    Was co-clustered with: The Father of the St. Faustina Church in Richmond TX, Francisco Castillo, Alvin Cantero Mena, Mansur/Manzur, Dr. Deayala, Ronald Patiarroyo, Gabriel Villasmil, Eldry Canquiz, Dirlay Castillo, Carla Paola Benavidez, Lisandra Romero, Jessean Centeno, Patricia Suarez, Penelope Suarez, Carlos Suarez and Ines Bracho.
    

    ---

  • The Getty Museum

    
    I don't know if readers would recall the SpyScape museum in New York City, which ironically, they own.
    This piece should be framed and put on display there:
    
    Sure enough, it is marked in Elon Musk's geo-index (top score is 190,000):

    python3 -m spyhell \
        --scan_area \
        --latitude=34.07780145360699  \
        --longitude=-118.4747507439478 \
        --search_radius_feet=1500 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  34.07965   -118.474                                    2000           216
    1  34.07840   -118.471                                    3000           353
    2  34.08115   -118.475                                  190000           372
    3  34.07800   -118.470                                    3000           439
    

    
    

    ---

  • 350 N Carolwood Dr, Los Angeles, CA 90077 Has Been Flagged

    It is protected with the well-known geo features and marked in Elon Musk's geo-index with a paramilitary score. Someone important lives or lived there. The pipeline co-clustered it with the last name "Cannon".
    The pipeline further flagged that there seems to exist a Partner-level member of the PayPal Mafia with equity in the MLM scheme, named Cannon:
    https://docs.google.com/spreadsheets/d/1Yc6FI6UdVpiA7VMcsG6uEI1zy3O5XMyoXymUj9mgxEU/edit?usp=sharing
    For comic relief: I heard a comedian once say something to the effects of "you don't want to mess with someone who actually had a hard life". I guess this is why.

         
    $ python3 -m spyhell \
        --scan_area \
        --latitude=34.0855346873974  \
        --longitude=-118.42795306807204 \
        --search_radius_feet=500 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0   34.0858   -118.427                                    3000            93
    

  • The BSA Troop 46 Scout House

    This place was flagged by the pipeline months ago, but now that we know about the pattern of the immune geo-entities, it seems like the place actually being protected is a building next to the BSA Troop 46 Scout House, this building looks like the building most protected by this setup: 29.74038038765599, -95.43157060854291.
    
    

    ---

  • The Evelyn Kennedy Civic Cente

    This one is very good, the only way for the FBI to eavesdrop on the radio-frequency transmissions coming south-bound would be for the FBI agent to swim to middle of the pool.
    
    The Evelyn Kennedy Civic Cente is of course marked in Elon Musk's geo-index and marked with paramilitary scores:
    

    python3 -m spyhell \
        --scan_area \
        --latitude=29.659176900729406  \
        --longitude=-95.01606030690608 \
        --search_radius_feet=1800 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  29.65800  -95.01750                                   20000           191
    1  29.65700  -95.01540                                 2162000           250
    2  29.65745  -95.01435                                   54000           253
    3  29.66020  -95.01910                                  112000           315
    4  29.66135  -95.01910                                  155000           380
    5  29.65815  -95.02005                                  678000           403
    
    

  • The Sequoia List

    https://docs.google.com/spreadsheets/d/1efzjlDV3rZkkHTgB681n5duPxtbSwnxwy60zR1oEJDc/edit?usp=sharing
    

    ---

  • Apparently Google Is Now Spamming Itself Using The Signature PayPal Mafia Technique of Fake News

    [TECHNICAL AUDIENCE RECOMMENDED]
    Background: 14 years ago while working as a software engineer in the Search team at Google, I worked on a "Doodle" about "Dr. Robert Moog". It got a lot of publicity.
    This is relevant because there was an occasion when I was Inteviewed by a TV News Channel in Miami (the interview is in Spanish) and all that was part of one of their ruses to copy the hard-drive of my Google Corporate laptop.
    This ruse involved Alfredo Ortega, who organized the entire ruse and I believe he might be easily traceable back to the SEBIN and the Venezuelan Government. So in order to hide that page, a team at Google supposedly called "Arts and Culture" created the subdomain artsandculture.google.com and created hundreds of pages with the word "Moog" in the title, and then they inserted the word "key" (as in Key Opinion Leaders) on the real page under a subheading, this is an important part of their technique to steal topicallity from the page to demote it.
    The technique works by using a two-pronge approach: on one side they lower the ranking score of the real page by injecting fake impressions (no clicks), and on the other side of the equation they boost the other hundreds of (fake) pages by injecting fake clicks with an statistical distribution of browsers/localities/genders/ages/times of the day that look normal.
    Risking to state the obvious: I will give Google Search the formula to vaccinate the scorer from this weakness once and for all.
    I am mentioning all this because this should probably be easy to trace and because it involves posting information visible to the public worldwide on the company's domain google.com subject to regulations in more than 100 countries, this probably required the highest possible levels of approval within the company, maybe even Sundar Pichai's personal approval.
    I am saying this because back in the days, any informational/editorial (non-algorithmic) pieces that went public on Google.com required the approval of Marissa Mayer or Larry Page, and, because PayPal Mafia members are not ones to give up power or control.
    

    ---

  • Mixed Feelings

    
    The entire saga leading to the discovery of the PayPal Mafia alleged criminal activites, their secret technologies and the fact that they published their geo-index on the Internet out in the open without encryption or anything, made me realize something:
    

    Elon Musk, the FSB, the SEBIN and the PayPal Mafia are terrible software engineers but incredible villans.

    
    

    ---

  • The Chernobyl Nuclear Power Plant

    This one is one I can't figrue out yet: Why did they mark this one in Elon Musk's geo-index?
    The Chernobyl Nuclear Power Plant is marked in Elon Musk's geo-index with high Paramilitary scores.
    The highest score near the reactor is located at 51.39010, 30.09620 and has a paramilitary score of 1.8 Million points (this would be among the top 50 in the world).
    
    

    $ python3 -m spyhell \
        --scan_area \
        --latitude=51.389153209099206  \
        --longitude=30.099455110907353 \
        --search_radius_feet=1800 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0   51.38900   30.09845                                  960000            72
    1   51.38950   30.10100                                  418000           114
    2   51.39050   30.10035                                    4000           162
    3   51.39000   30.09735                                   16000           174
    4   51.38735   30.10100                                   88000           228
    5   51.39010   30.09620                                 1802000           250
    6   51.38690   30.09780                                  144000           276
    7   51.38700   30.10150                                    3000           279
    8   51.38700   30.09505                                    2000           389
    9   51.38540   30.09990                                    4000           419
    10  51.38800   30.09360                                  308000           427
    11  51.38600   30.10360                                    3000           454
    12  51.38700   30.10510                                   20000           460
    13  51.38500   30.09940                                    3000           462
    14  51.38585   30.10360                                   48000           467
    15  51.39230   30.09485                                   12000           475
    16  51.39385   30.09990                                    4000           523
    17  51.39440   30.10210                                    3000           612
    18  51.39480   30.09780                                  620000           639
    19  51.38260   30.09990                                   72000           730
    20  51.39600   30.09990                                    2000           762
    21  51.38200   30.09895                                   28000           797
    
          
    

  • Meta Headquarters in Menlo Park, California, Were Flagged By The Pipeline

    
    Because Facebook is such an strategically important part of the evil machine designed by Elon Musk, as the world saw during the Cambridge Analytica scandal (coincidentially discovered after the 2016 US Presidential Elections), Russel Simmons wanted to do something really special here.
    At first, Russel requested quotes from construction companies that already work for the PayPal Mafia, to build an entire artificial mountain range, like the one on the coast of the Black Sea, but completely surrounding the headquarters of Meta as if it was a super volcano.
    But then, Elon Musk's cost-savings team descended upon Russel, and Elon ordered Russel to go with something more budget-friendly.
    That's when Russel came up with this ...
    
    The Meta headquarters, are, of course, marked in Elon Musk's geo-index with para-military scores.

    python3 -m spyhell \
        --scan_area \
        --latitude=37.48495378349741 \
        --longitude=-122.14815365795299  \
        --search_radius_feet=1800 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  37.484100   -122.148                                    9000            96
    1  37.484100   -122.147                                    9000           139
    2  37.483667   -122.148                                    3000           143
    3  37.486233   -122.148                                    3000           143
    4  37.484600   -122.150                                    5000           168
    5  37.486233   -122.147                                    9000           175
    6  37.484100   -122.150                                   13000           189
    7  37.483667   -122.151                                    9000           289
    8  37.483700   -122.145                                   10000           312
    
    
          
    

    
    

    ---

  • Introducing the Celebrities Club

    [02/11/2025] Same idea as with presidents, the pipeline picked up that there is a group of celebrities (TV stars, Movie stars, Famous artists, etc), which houses are protected using the "Immune Entities Pattern" and marked in Elon Musk's geo-index with either the Espionage or the Paramilitary encoder.
    So I am starting the "Celebrities Club" category in the archive.
    For comic relief: Elon Musk's team is indeed obsessed with celebrities. For example, that day that Elon Musk summoned me to San Francisco because he was going to "personally review my code" (as if he would be able to read it), when I was doing my technical pitch, his phone rang, he said "One moment, I need to take this, is Shaquille O'Neal" and walked away. By this I mean: what was the need for him to tell me that it was Shaquille O'Neal? He could have just taken the call, he owed me no explanation of why, he purchased the company and I was now under his employ.

    Paul McCartney

    To catch-up readers that are just joining the thread, there was one ruse in which Travis Kalanick sat me 6 feet away from Paul McCartney at a restaurant in the Hamptons while (presumably) he or someone from his team was having dinner with Paul McCartney. This was years ago, you can read more about this ruse here.
    Fast-forward to September 2024, I capture their geo-index and built a search engine to analyze it, we called it SpyHELL. Their geo-index is a digital map that marks locations of assets of the PayPal Mafia, think of agents, houses, important locations, etc.
    Fast-fowrard to February 12th 2025, the analysis software we built flagged that, according to public information, Paul McCartney owns a house in the Hamptons, and that house is marked in the PayPal Mafia geo-index with a Paramilitary score of 15,000 points.
    In other words, Sir Paul McCartney is part of the PayPal Mafia organization. Other notable mebmers are: Diddy and Drake.
    Here are the points in Paul McCartney's East Hamptons estate that are marked in Elon Musk's geo-index:

    $ python3 -m spyhell \
        --scan_area \
        --latitude=40.98610000 \
        --longitude=-72.12228500 \
        --search_radius_feet=1800 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0  40.98740  -72.12070                                   15000           197
    1  40.98400  -72.12290                                   16000           239
    2  40.98800  -72.12385                                   16000           249
    3  40.98775  -72.12610                                    6000           370
    
    

    
    And the property of Paul McCartney, of course, displays the "Immune Entities Pattern", Elon Musk's signature design for the most prominent members of the PayPal Mafia.
    

    Vince Neil (Mötley Crüe)

    
    3320 Southall Rd, Franklin, TN 37064
    

          
    $ python3 -m spyhell \
        --scan_area \
        --latitude=35.90183891012287    \
        --longitude=-86.96567011712749 \
        --search_radius_feet=1200 \
        --search_type=paramilitary-assets \
        --run_name="test-Paramilitary" \
        --expansive_search_max_results=100
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
    0   35.9050  -86.96490                                   96000
    1   35.9050  -86.96555                                   66000
    2   35.8981  -86.96555                                    4000
    

    The Drake

    This is the third time the Drake comes up on this website: the first time was because of "the Hästens matress article", the second time was when a relative of Carlos Suarez mentioned the Drake-dating cousin.
    This time, the pipeline flagged that Drake's house at 21 Park Ln Cir, North York, ON M3B 1Z8, Canada, is marked on the index with a paramilitary marker/score.
    

    $ python3 -m spyhell \
        --scan_area \
        --latitude=43.73453087110312     \
        --longitude=-79.37422550329791 \
        --search_radius_feet=200 \
        --search_type=paramilitary-assets \
        --run_name="test-Paramilitary" \
        --expansive_search_max_results=100
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
    0  43.73455   -79.3744                                   20000
    
    ========
    

    
    There are many other house within 1500 feet of the Drake that are also marked with Paramilitary scores:
    

    $ python3 -m spyhell \m spyhell \
        --scan_area \
        --latitude=43.73453087110312     \
        --longitude=-79.37422550329791 \
        --search_radius_feet=1500 \
        --search_type=paramilitary-assets \
        --run_name="test-Paramilitary" \
        --expansive_search_max_results=100
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
         latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
    0   43.736150 -79.376500                                  419000
    1   43.734550 -79.379150                                   99000
    2   43.735133 -79.378600                                   30000
    3   43.731400 -79.373400                                   30000
    4   43.735133 -79.373400                                   30000
    5   43.737900 -79.374850                                   28000
    6   43.734067 -79.371280                                   27000
    7   43.732500 -79.372800                                   25000
    8   43.733500 -79.374400                                   24000
    9   43.736600 -79.372800                                   23000
    10  43.734550 -79.374400                                   20000
    11  43.738800 -79.374850                                   20000
    12  43.736175 -79.378100                                   20000
    13  43.736600 -79.374400                                   20000
    14  43.735133 -79.376567                                   19000
    15  43.736600 -79.377600                                   18000
    16  43.737167 -79.376567                                   18000
    17  43.734067 -79.369100                                   15000
    18  43.737167 -79.373400                                   15000
    19  43.736175 -79.376567                                   12000
    20  43.735700 -79.370225                                   12000
    21  43.736600 -79.370650                                   12000
    22  43.739880 -79.373900                                   10000
    23  43.732850 -79.372800                                   10000
    24  43.734067 -79.373400                                    9000
    25  43.734550 -79.370650                                    8000
    26  43.739250 -79.374850                                    8000
    27  43.733500 -79.371750                                    8000
    28  43.734550 -79.369700                                    8000
    29  43.732850 -79.370650                                    8000
    30  43.733500 -79.376567                                    6000
    31  43.734067 -79.372350                                    6000
    32  43.737900 -79.373900                                    6000
    33  43.737900 -79.375950                                    6000
    34  43.735700 -79.372350                                    6000
    35  43.737167 -79.375950                                    6000
    

    Kid Rock

    Russel took a week of time off after completing this project.
    

    python3 -m spyhell \m spyhell \
        --scan_area \
        --latitude=42.35325319974568   \
        --longitude=-82.98331071929853 \
        --search_radius_feet=500 \
        --search_type=paramilitary-assets \
        --run_name="test-Paramilitary" \
        --expansive_search_max_results=100
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
       latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
    0  42.35385 -82.984275                                   64000
    
    

    
    

    ---

  • Conagra Brands Has Been Flagged By The Pipeline

    [02/11/2025] 1 Conagra Dr, Omaha, NE 68102 is marked in Elon Musk's geo-index with a Paramilitary score of 18,000 (41.2557, -95.92565).
    The pipeline logged that according to source materials, the company has a heavy focus on distribution logistics (where Travis Kalanick shines).
    The place has geo-features consistent with a protected entity.
    This company was co-clustered by the pipeline with: Applied Protein Systems, Cloud Kitchens and City Storage Systems.
    It is a dangerous item because as we have seen many times before, they do weaponize food and dietary supplements.
    

    ---

  • My Dentist's Office Is Marked on Elon Musk's Geo-Index

    [02/11/2025] Imagine that.
    The dentist office is: Cinco Meadows Dental, 25900 Cinco Ranch Blvd, Katy, TX 77494. Website: http://www.cincomeadowsdental.com/.
    For comic relief: When I saw this maybe 3 months ago, I decided I could not go to the dentist fearing they could harm me. My next appointment was 7 weeks away but the conflict with Elon Musk was at a high point (I had developed the first prototype of SpyHELL), I had been driven out of the road by the Semi truck, and they attempted to killed me by dehydration in the weeks prior.
    Perhaps, too coincidentially, I received a text from the dentist office saying there had been a cancellation and that they had an open appointment for the next day (which I think only happened once before in the last 10 years). I took it as they wanted me to come to their office.
    Because I had just experienced those attempts against my life (which I have never experienced before in 45 years on this earth), I thought it would be dangerous to go to the dentist. I replied back saying that I was quitting their practice.
    The person replied back almost immediatly asking me to reconsider. I said I couldn't reconsider because I was making some logistical changes in my routine that made it impossible for me to be a patient any more (I didn't accuse them of being part of the network or anything).
    The person kept insisting and sending me messages, the person was being very persistent, I would even say pushy.
    I had to stop replying to the messages and block their number.
    At that point I hadn't discovered the Paramilitary encoder yet, but now I that I have reverse engineered it and can see that this practice is actually a Paramilitary position, I am glad I trusted my instincts on that occasion.
    Side-notes:
    1. This doctor's practice was acquired perhaps 4 years ago, it is not the same dentist that started seeing us 10 years ago, they bought out the OG dentist. This dentist is an asian woman on her early 40s, black hair, 5'9 - 5'10, perhaps 120 - 130 lbs. The name of the dentist escapes me right now, but I have it in my records, I will look it up.
    2. Another strange coincidence regarding this practice: In this practice, there is a dental hygienist that works there, she is from Venezulea, from Cabimas specifically, mid to late 20s, 5'6-5'7, perhaps 130lbs.
       The strange coincidence is that as it turns out, she is the daugther of a nurse that had worked with my dad between 1986 and 1990 in Morichal, Monagas, Venezuela.
       When I spoke with her, I felt a sense of familiarity I had never experienced before, as if I knew her from before, but I know that is not possible because of the age gap between us. I was never able to put a finger on it. Strange.
    
    Here is the proof the office is marked on Elon Musk's geo-index with a paramilitary score:

          
    $ python3 -m spyhell \
        --scan_area \
        --latitude=29.727004648892077   \
        --longitude=-95.8004092372193 \
        --search_radius_feet=150 \
        --search_type=paramilitary-assets \
        --run_name="Cinco-Meadows-Dental-Cinco-Ranch-25900 Cinco Ranch Blvd, Katy, TX 77494-Paramilitary" \
        --expansive_search_max_results=100
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
        latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
    0  29.727267   -95.8005                                   15000
    

    
    

    ---

  • Introducing: Elon Musk's Presidents Club

    Their use of the "Immune Entities Pattern" is so consistent in the official residences of Presidents, that it is starting to feel as if it was a "standard perk" of the job.
    The thing with patterns like this is that, well, it makes detection trivial, and makes the observations impossible to hide. So I am creating the "Presidents-club", I am saving all the screenshots and posts related to this pattern in this folder in the The Archive: "03__The-Presidents-Club".

    Masoud Pezeshkian, Ebrahim Raisi and Hassan Rouhani Are Flagged in Elon Musk Geo-Index

    [02/16/2025] This is an amazing discovery. Please allow me to elaborate.
    I don't know if readers would recall that one instance when the Pipeline flagged a presidential-type of compound in Gaza, primarily because the colors of the vegetation within the compound suggested the trees were not native to the area and the compund is marked on Elon Musk's index and exhibits the "Immune Geo-Entities Pattern".
    A similar thing happened last night with a presidential compound in Iran.
    Separate to that observation, I don't know if readers would recall when we analyzed the layout of the presidential residence in Brasilia, Brazil (Palácio da Alvorada), which was built in 1957, and noted that it is placed in the exact and only location in that small area of land that maximizes the protections against radio-frequency eavesdropping. An important observation because it suggests that this technique of protecting buildings against radio-frequency interception by using Geo-features, exists since at least the 1950s, but perhaps only a few countries knew about it.
    Then, in good Google-engineering fashion, we started looking at historical records to see who the Brazilian President at the time, Juscelino Kubitschek, had strong economic ties to in 1957.
    We found some official records from the White House in which Juscelino Kubitschek seemed to be floating the idea of becoming a representative of the West with presidents and heads of state from the Middle East.
    Well, this presidential compound on Iran has the same "non-native vegetation" feature we saw in Gaza, but in an extension of land that dwarfs all other presidential compounds in the world, the buffer zone on land is even larger than the one at Putin's Palacete on the coast of the Black Sea.
    Long way of saying, I think the Iranians might be the creators of this technique of geo-engineering back in the 1950s because according to official records, Russia had shy relations with Brazil at that time.
    All this might suggest that Iran could be the mastermind behind this world domination plan, and it might go back at least 60 years.
    The danger of this conflict is that people do not see bombs dropping from the skies, so they are not even aware of the threats to their freedoms and institutions, and therefore are not even reacting to the foreign occupation.
    But make no mistake, this is a war, they see it that way, their actions make that very clear. This is the reason why, when I worke up to this reallity, I implemented what would be the equivalent to an "iron dome" for America and Europe (see example).
    Who would have thought that WWIII would be fought not with nuclear warheads, but with Radio-frequency, iPhones and Python code.
    
    Multiple of the top-20 markers worldwide in terms of Paramilitary scores marked in Elon Musk's geo-index, fall within the perimeter of this compound and within meters from the center. This is an statistical anomaly on itself: of all the land extension of the planet, how could multiple of the top-20 markers fall in this presidential compound? This is not a random coincidence.
    

    $ python3 -m spyhell \
        --scan_area \
        --latitude=35.81614717246638   \
        --longitude=51.42389832086728 \
        --search_radius_feet=4000 \
        --search_type=paramilitary-assets \
        --run_name="test" \
        --sort_by_distance
    
     ____              _   _ _____ _     _     
    / ___| _ __  _   _| | | | ____| |   | |    
    \___ \| '_ \| | | | |_| |  _| | |   | |    
     ___) | |_) | |_| |  _  | |___| |___| |___ 
    |____/| .__/ \__, |_| |_|_____|_____|_____|
          |_|    |___/                         
    
      Wondering where this data came from? 
        ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
    
      Wondering about the scope of Elon Musk's criminal enterprise?
        ---> Please visit https://www.KeyOpinionLeaders.com/
    
    
    
    Using Backend: paramilitary-assets
    
     ======= 
    
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
    0    35.814500  51.426350                                 2177000           287
    1    35.818900  51.421600                                 1213000           369
    2    35.813650  51.426700                                    2000           375
    3    35.812900  51.425300                                    5000           382
    4    35.819000  51.426350                                    4000           386
    5    35.819000  51.426350                                    4000           386
    6    35.812450  51.424275                                   72000           412
    7    35.812450  51.422167                                   11000           439
    8    35.813000  51.420600                                  247000           459
    9    35.812900  51.427440                                    5000           482
    10   35.812450  51.421075                                   32000           483
    11   35.812050  51.421600                                   10000           500
    12   35.812050  51.426375                                   26000           507
    13   35.812450  51.420600                                    6000           507
    14   35.812450  51.420100                                   26000           535
    15   35.819900  51.420100                                 2098000           540
    16   35.811367  51.425300                                   82000           545
    17   35.812450  51.428033                                    6000           555
    18   35.812050  51.427440                                   16000           556
    19   35.811367  51.421600                                   52000           570
    20   35.813000  51.418900                                    3000           571
    21   35.813000  51.418900                                    3000           571
    22   35.811367  51.426375                                   27000           576
    23   35.820000  51.419550                                   51000           581
    24   35.812450  51.428500                                   16000           584
    25   35.811367  51.420600                                   61000           608
    26   35.816000  51.430750                                    8000           619
    27   35.812050  51.418933                                   41000           639
    28   35.820800  51.428100                                  263000           641
    29   35.811367  51.428033                                    9000           649
    30   35.812050  51.429125                                   16000           656
    31   35.810900  51.427440                                   16000           664
    32   35.811367  51.428500                                   12000           674
    33   35.812450  51.417950                                   22000           676
    34   35.810300  51.421600                                   70000           681
    35   35.814050  51.431000                                  607000           683
    36   35.810900  51.419550                                   40000           702
    37   35.811367  51.429125                                   26000           710
    38   35.810900  51.428500                                    8000           715
    39   35.812450  51.417400                                   12000           716
    40   35.812050  51.417400                                   12000           743
    41   35.809750  51.426375                                   62000           744
    42   35.810300  51.428033                                   42000           749
    43   35.811367  51.417950                                   21000           755
    44   35.810300  51.419550                                   32000           759
    45   35.812450  51.431100                                    6000           769
    46   35.809300  51.425300                                   67000           770
    47   35.811367  51.430200                                    6000           778
    48   35.810300  51.418933                                   26000           789
    49   35.809300  51.426375                                   26000           792
    50   35.812050  51.431100                                    6000           794
    51   35.809300  51.421075                                  103000           801
    52   35.810300  51.429125                                   16000           803
    53   35.809750  51.419550                                   12000           811
    54   35.811367  51.430750                                   15000           815
    55   35.809300  51.427400                                  309000           823
    56   35.809300  51.427440                                   36000           824
    57   35.808750  51.424833                                   54000           825
    58   35.812450  51.415825                                    8000           837
    59   35.809750  51.418933                                   24000           840
    60   35.818000  51.414850                                    4000           843
    61   35.818000  51.414850                                    4000           843
    62   35.809750  51.429125                                    8000           853
    63   35.812450  51.432250                                    8000           859
    64   35.808750  51.421075                                   30000           860
    65   35.812050  51.415825                                    8000           860
    66   35.813650  51.414850                                  104000           863
    67   35.810300  51.430200                                   16000           863
    68   35.810900  51.416833                                   32000           864
    69   35.810900  51.431100                                    6000           873
    70   35.808750  51.420600                                    6000           873
    71   35.808267  51.424275                                   12000           875
    72   35.813000  51.432800                                  488000           877
    73   35.811367  51.431650                                   14000           879
    74   35.808267  51.422700                                   51000           881
    75   35.812050  51.432250                                    8000           881
    76   35.808750  51.427440                                   10000           881
    77   35.809300  51.418933                                   27000           882
    78   35.808267  51.425950                                   21000           894
    79   35.809300  51.429125                                   12000           895
    80   35.810300  51.430750                                    8000           897
    81   35.811367  51.415825                                   27000           902
    82   35.812450  51.432800                                   24000           903
    83   35.808267  51.426375                                   12000           903
    84   35.810300  51.416833                                   28000           910
    85   35.812450  51.414850                                   14000           915
    86   35.810300  51.431100                                   12000           919
    87   35.808750  51.428500                                   14000           920
    88   35.809750  51.417400                                   39000           921
    89   35.808267  51.420600                                    9000           924
    90   35.812050  51.432800                                    8000           924
    91   35.809300  51.429750                                   12000           926
    92   35.808267  51.427440                                   15000           931
    93   35.808750  51.418933                                   15000           935
    94   35.812050  51.414850                                   26000           936
    95   35.810250  51.416450                                   56000           939
    96   35.808267  51.420100                                   20000           939
    97   35.807667  51.424275                                   12000           942
    98   35.807667  51.423133                                    9000           943
    99   35.807667  51.424833                                    9000           945
    100  35.819900  51.433300                                 2281000           946
    101  35.807667  51.422700                                    6000           947
    102  35.807667  51.425300                                   15000           949
    103  35.808267  51.428033                                    9000           951
    104  35.807667  51.422167                                    9000           954
    105  35.808267  51.419550                                   30000           959
    106  35.807667  51.425950                                    6000           959
    107  35.823000  51.417400                                   31000           961
    108  35.823000  51.417400                                   31000           961
    109  35.812900  51.433800                                    5000           965
    110  35.808267  51.428500                                   12000           968
    111  35.807667  51.421075                                   42000           975
    112  35.807667  51.427440                                   15000           994
    113  35.808267  51.429125                                   12000           994
    114  35.808267  51.418500                                   14000          1001
    115  35.807667  51.420100                                   21000          1002
    116  35.807667  51.428033                                    9000          1012
    117  35.825100  51.421600                                 2692000          1015
    118  35.807667  51.428500                                   12000          1029
    119  35.806700  51.424275                                   16000          1049
    120  35.806700  51.424833                                   12000          1052
    121  35.806700  51.422700                                   20000          1054
    122  35.806700  51.425300                                   20000          1056
    123  35.825100  51.428100                                  489000          1063
    124  35.806700  51.425950                                    8000          1064
    125  35.806700  51.426375                                   16000          1072
    126  35.817800  51.412150                                 3453000          1077
    127  35.806700  51.421075                                   36000          1079
    128  35.806700  51.420600                                   20000          1090
    129  35.806050  51.424275                                    8000          1121
    130  35.806050  51.423133                                   18000          1122
    131  35.806050  51.424833                                    6000          1124
    132  35.806050  51.425300                                   10000          1127
    133  35.806050  51.421600                                   10000          1139
    134  35.806050  51.426375                                    8000          1142
    135  35.806000  51.421050                                   16000          1155
    136  35.806050  51.420600                                    6000          1159
    137  35.805575  51.423133                                   12000          1175
    138  35.805575  51.425950                                   14000          1188
    139  35.805575  51.421600                                   20000          1191
    140  35.805575  51.421075                                   16000          1200
    141  35.805200  51.423133                                    9000          1217
    142  35.805200  51.422700                                    6000          1219
    143  35.805200  51.425300                                   84000          1221
    144  35.805200  51.422167                                   29000          1225
    145  35.805200  51.421600                                   15000          1232
    146  35.805200  51.426375                                   28000          1235
    147  35.805000  51.424250                                    4000          1237
    148  35.805000  51.424250                                    4000          1237
    149  35.804000  51.423800                                   81000          1348
    150  35.804000  51.424800                                   50000          1350
    151  35.803525  51.423133                                   20000          1402
    

    Risking to state the obvious: This is the reason why Alex Saab was so important for the Venezuelan Government, he is the Bizarro-embassador to Iran. There are probably important questions to ask surrounding Alex Saab's return to Venezuela.

    The Apostolic Palace, The Vatican

    I've known this for months but because I was raised catholic, I feel like I might be going to hell when I die for posting about the Pope. That goes to show the power of human psychology.
    The official residence of the Pope exhibits an excelent implementation of the Immune Entities Pattern, and is surounded by positions marked in Elon Musk's geo-index that are flagged there with paramilitary scores.
    In other words, the official residence of the Pope is among the honorary members of Elon Musks President's Club. The pipeline also picked up some online news articles that talk about a visit Elon Musk paid to the Pope not too long ago. The Pipeline co-clustered the Pope and the news articles with this observaton.
    
    Side note: Among the improvements I have planned for the pipeline , one is to incorporate the use of historic satellite imagery, instead of just the current google maps imagery. There is a away to get the historic imagery.
    There are two reasons why Intelligence agencies migth want to try this:
    1. It would allow to see "since when" was the property incorporated into the ranks of the organization. For example, in this example of the Vatican, I ask myself: when was that garden constructed in the way it is today, or when was the last major remodeling that altered the geo-features of the area. This could yield incredibly important information to understand major wold events in contemporary history.
    2. This also would make the "job" of Maxar Techonolgies exponentially more difficult when it comes to hiding geo-features in the tiles. They would have to edit, not one image per tile but all the past images for each tile since the time they implemented the Inmune Entities Pattern at the place they want to hide from the public.
       The increased complexity of the task might make it unpractical, unfeasible, or at the very least make it (even more) obvious that they are hiding something and in which tiles, and increase the probability they might make a mistake while editing a tile (there would be more tiles to edit now).
       Risking to state the obvious: The editing of the tiles is a process that as it is today, I belive can only be done by a human. The blending I don't think it can be automated (today). That said, an obvious move for them at this point in the conflict is going to be to invest into research to see if they can automate the editing of the tiles through means of Machine Learning and Artificial Intelligence. I would watch out for companies and academics that pop up on those areas of research in the next few months.
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=41.90343063446561 \
           --longitude=12.45499633988322   \
           --search_radius_feet=2300 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --sort_by_distance
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
       0  41.90500   12.45410                                   10000           190
       1  41.90500   12.45410                                   10000           190
       2  41.90140   12.45640                                    6000           254
       3  41.89970   12.45640                                    6000           430
       4  41.90500   12.45995                                  202000           446
       5  41.90500   12.45995                                  202000           446
       6  41.90765   12.45700                                   81000           497
       7  41.90300   12.46105                                    2000           505
       

       
       

       Al-Maquar Compound, Jordan

       
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=31.96887636406487    \
           --longitude=35.93563818307511 \
           --search_radius_feet=1200 \
           --search_type=paramilitary-assets \
           --run_name="test-Paramilitary" \
           --expansive_search_max_results=100
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  31.96695    35.9374                                  593000
       1  31.97200    35.9360                                  112000
       2  31.97120    35.9365                                   16000
       
       

       Palais de l'Élysée, Paris, France

       
       This one is hilarious.
       I am not sure if readers would recall the multiple instances documented before in which they have manipulated satellite imagery that shows up in Google Maps. I imagine to make the detection done by the pipeline less likely to happen. They usually do this by copying and pasting images from other tiles that look alike.
       Their degree of success with this technique varies, mostly depending on the type of landscape. For example, in landscapes with heavy vegetation they are more likely to succeed at avoiding detection because trees more or less look alike. Sometimes they do make mistakes like picking trees of the wrong color, etc, but they are slowly learning how to do it well.
       But on this one, they faced a difficult challenge: this one is an important place in the middle of a city that was established on year 52 BC and has practically no trees left in the inner part of the city. So this is what they came up with:
       
       They are like small children trying to hide something.
       The Palais de l'Élysée is of course marked in Elon Musk's geo-index:

       python3 -m spyhell \
           --scan_area \
           --latitude=48.8702947570967 \
           --longitude=2.316657039339528  \
           --search_radius_feet=600 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --sort_by_distance
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
            latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
       0   48.870425    2.31718                                   12000            41
       1   48.870050    2.31718                                    4000            47
       2   48.870975    2.31718                                    8000            85
       3   48.870975    2.31597                                    4000            91
       4   48.869400    2.31718                                   10000           107
       5   48.869400    2.31597                                    5000           112
       6   48.870425    2.31822                                   12000           116
       7   48.869400    2.31559                                    5000           127
       8   48.871467    2.31718                                    6000           136
       9   48.870975    2.31822                                    8000           137
       10  48.871467    2.31597                                    3000           140
       11  48.870425    2.31858                                    4000           142
       12  48.869400    2.31822                                   10000           152
       13  48.871467    2.31559                                    3000           152
       14  48.868800    2.31718                                   14000           171
       

       
       This time, the credits of the image read: Airbus, CNES / Airbus, Maxar Techonoliges.
       I will ask my contacts at Google (that I verified are not marked in the index), which is the team that decides which Imagery provider gets to service which Map tile. I imagine they would want to control that team, so they can make sure their companies get assigned the tiles that have the important assets.

       Palácio da Alvorada, Brasilia, Brazil

       This is one of the best pieces from Russel Simmons' vast body of work.
       Now, there is something interesting here ...
       According to the knowledge base of the criminal organization (Wikipedia), this presidential residence was designed by Oscar Niemeyer and built in the 1950s.
       This is interesting because Russel can change the surounding area, but he can not lift and relocate the building. Well, I am assuming he can't, maybe I am being naive here, but let's assume he can't.
       If that was the case, it would be interesting because that presidential residence is located in the exact and only location in that small area of land that maximizes the protections with the natural geo-features of that area, and again, it was designed and built in the 1950's. None of the PayPal Mafia Visionaries had even been born at that time.
       It is possible, it is just a lucky coincidence. The alternative is, of course, that this technique of the PayPal Mafia of protecting places against Radio-frequency eavesdropping by using geo-features, maybe exists since the 1950's.
       I will read up on history to see who was the Brazilian Govenment and the head of state at the time (Juscelino Kubitschek) partnering with, to see if there is anything there.
       
       Risking to state the obvious: Palácio da Alvorada is indeed marked in Elon Musk's geo-index with paramilitary scores:
       

       $ python3 -m spyhell \    
           --scan_area \
           --latitude=-15.79318975789281 \
           --longitude=-47.822156926160865  \
           --search_radius_feet=6000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --sort_by_distance
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
       0   -15.793  -47.82175                                   14000            48
       1   -15.795  -47.81960                                   74000           339
       2   -15.786  -47.82065                                    4000           812
       3   -15.801  -47.82220                                    5000           864
       4   -15.786  -47.82845                                  123000          1043
       5   -15.803  -47.82845                                    4000          1278
       6   -15.781  -47.81960                                   72000          1376
       7   -15.781  -47.82690                                   47000          1441
       

       Heliopolis Palace, Cairo, Egypt

       
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=30.08900352150213   \
           --longitude=31.319274879009235 \
           --search_radius_feet=500 \
           --search_type=paramilitary-assets \
           --run_name="test-Paramilitary" \
           --expansive_search_max_results=100
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   30.0895  31.320233                                   59000
       1   30.0888  31.320600                                    3000
       

       Zuğulba Presidential Palace, Azerbaijan

       
       

        $ python3 -m spyhell \
           --scan_area \
           --latitude=40.40670371681028   \
           --longitude=49.85257761333669 \
           --search_radius_feet=500 \
           --search_type=paramilitary-assets \
           --run_name="test-Paramilitary" \
           --expansive_search_max_results=100
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  40.406633    49.8519                                  113000
       1  40.405567    49.8530                                   76000
       

       The Official Residency of the President of El Salvador

       Is protected with the "Immune Entities Pattern" and is also marked in Elon Musk's index.
       
       Side note: Google thinks that there are two official residencies for the president of El Salvador, both have the same patterns, I am posting only one but the other one has the same observations (has been inmunized and is marked in Elon Musk's index).

       A "Presidential" Type Of Compound Located Near [31.912211903296143, 35.18268898807145] Was Flagged By The Pipeline

       There are many data points that the pipeline flagged, but one of the most interesting ones was one observation about the colors of the pixels detected as "likely vegetation" inside the compound were too much outside of the standard deviation of pixel-color for vegetation pixels within several hundred miles around this point.
       In plain English: Those trees are not native to the area and probably take a lot of water and effort to maintain them planted and alive in that area.
       The pipeline co-clustered this area with Mahmoud Abbas, but the level of confidence of the pipeline in this label is not above threshold. We don't have a deterministic way to verify this prediction: none of these buildings are marked on Google Index or have any CategoryIDs (Google jargon: "CIDs") associated with them in Google Maps (which is another anomaly on itself).
       That said, this compound is marked on Elon Musk's geo-index with very high Paramilitary scores (which could make one think that maybe we are on the right track on this one):

       python3 -m spyhell \
           --scan_area \
           --latitude=31.912211903296143     \
           --longitude=35.18268898807145 \
           --search_radius_feet=1500 \
           --search_type=paramilitary-assets \
           --run_name="test-Paramilitary" \
           --expansive_search_max_results=100
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  31.91315   35.18350                                  335000
       1  31.91480   35.18450                                  153000
       2  31.91580   35.18255                                   28000
       3  31.90900   35.18350                                   20000
       
       
       

       
       The point with the top score (335,000) is the one marked with the red marker in the map below (which is still protected by the buffer zones to the West and to the South):
       
       It would be rather ironic if someone who obviously values their privacy so much, has their place of business revealed because they made a ridiculous choice on ornamental plants, it doesn't seem like the class of mistake that Russel Simmons would make, but ... c'est la vie.
       

       Sándor, Palace, Budapest, Hungary

       
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=47.497763071184174   \
           --longitude=19.03822673921392 \
           --search_radius_feet=500 \
           --search_type=paramilitary-assets \
           --run_name="test-Paramilitary" \
           --expansive_search_max_results=100
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  47.497100   19.03845                                  100000
       1  47.498675   19.03845                                   32000
       2  47.496000   19.03845                                   30000
       3  47.496650   19.03785                                   16000
       

       
       

       JD Vince Was Flagged By the Pipeline on 02/08/2025

       This is a very good example of the "Immune Entities Pattern", almost as good as the Yucca Drive.
       According to public records:
       

       JD Vance, Republican Nominee. 
       Residence Address: 1858 William Howard Taft Rd. Cincinnati, OH 45206. 
       Mailing Address: 288 Russell Senate Office Building.
       

       
       
       There are several Paramilitary positions within 500ft of JD Vince's house, including his own house (marked in red below):

             
       $ python3 -m spyhell \
           --scan_area \
           --latitude=39.12689040908681  \
           --longitude=-84.46836714583219 \
           --search_radius_feet=500 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
            latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   39.127825  -84.46910                                   56000
       1   39.127825  -84.46805                                   32000
       2   39.128267  -84.46805                                   28000
       3   39.126250  -84.46805                                   14000
       4   39.125733  -84.46855                                   12000
       5   39.126250  -84.46910                                   10000
       6   39.126800  -84.46855                                    9000
       7   39.127325  -84.46965                                    8000
       8   39.126250  -84.46855                                    8000
       9   39.125733  -84.46805                                    6000
       10  39.126800  -84.46750                                    5000
       11  39.126800  -84.46700                                    3000
       
       
       

       
       

       Casa de Narino, Bogota, Colombia

       
       This one is an interesting example, the buffer zone seems to be "under construction". This could provide tons of insights in terms of how lond does it take to set it up in an already developed zone, what do they prioritize, and how do they go about building it. It could also provide an opportunity to trace what companies they employ, etc. Tons of intelligence to be extracted from this one:
       
       

       python3 -m spyhell \
           --scan_area \
           --latitude=4.595286102810062   \
           --longitude=-74.07764415705512 \
           --search_radius_feet=1000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0    4.59382 -74.078050                                   18000
       1    4.59382 -74.077525                                   16000
       2    4.59429 -74.078633                                    8000
       3    4.59429 -74.077525                                    7000
       4    4.59429 -74.075960                                    5000
       5    4.59508 -74.075500                                    3000
       6    4.59508 -74.076467                                    3000
       7    4.59726 -74.077100                                    3000
       8    4.59508 -74.077100                                    3000
       9    4.59382 -74.077100                                    3000
       10   4.59382 -74.078633                                    3000
       
       
       ========
       Output saved as: ./runs/test.txt
             
       

       
       

       The Smithsonian National Museum of American History, Washington D.C. / The National Museum of African American History and Culture

       Location: 38.89129944263535, -77.03002388651399
       Although it is not a president's residence, the Smithsonian is so prominent in terms of its importance on the Spy network, that I believe it deserves a spot here.
       The Smithsonian National Museum of American History was flagged months ago. At the time, we noted that it aligns perfectly with a prominent espionage cluster located in Lima, Peru. At the time we noticed two important data points: i) Its proximity to the White House; and ii) that it falls on a street address ending in 00 (the infamous Goldman Sachs channel).
       This is the cluster of spy locations near Lima, Peru:
       
       And now that we have noticed the "Immune Entities Pattern", to complete the observation: The Smithsonian was very well protected, almost as if it had a president living inside:
       Please note: If our hypothesis is correct, then it must mean that the National Museum of African American History and Culture is in on it (otherwise they wouldn't have left that building stand where it is).
       It also means that this network node is meant for receiving data from the North and the East.
       With the SpyHell Command line is trivial to find all the hops on the two axis. To demonstrate the technique I am posting here the command the top-25 aligning with the Smithsonian on both axis (but the number can be exteneded if needed by changing the --expansive_search_max_results flag from 25 to the desired number):

       python3 -m spyhell \
           --latitude=38.89129944263535   \
           --longitude=-77.03002388651399 \
           --search_radius_feet=500 \
           --search_type=spy-assets \
           --run_name="test" \
           --expansive_search_max_results=25
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
         Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? 
         Please visit https://www.KeyOpinionLeaders.com/
       
       Using Backend: spy-assets
       
        ======= 
       
       Candidate found: 38.89125, -77.03
       (score=48)
       
       Latitude Search (longitude fixed=-77.03)
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  -28.87550     -77.03                                    2852
       1   30.66335     -77.03                                    2826
       2   29.34875     -77.03                                    2046
       3   26.77210     -77.03                                    2026
       4   48.34240     -77.03                                    1853
       5   26.36970     -77.03                                    1838
       6   26.17275     -77.03                                    1725
       7   36.15045     -77.03                                    1603
       8    7.70513     -77.03                                    1594
       9   49.50985     -77.03                                    1546
       10  -8.86381     -77.03                                    1541
       11  23.79265     -77.03                                    1523
       12  34.08280     -77.03                                    1504
       13  26.01965     -77.03                                    1503
       14  19.18415     -77.03                                    1498
       15  58.64580     -77.03                                    1487
       16 -17.85725     -77.03                                    1455
       17  -9.36917     -77.03                                    1400
       18  40.91665     -77.03                                    1347
       19  23.85170     -77.03                                    1322
       20  19.92185     -77.03                                    1303
       21   1.67910     -77.03                                    1233
       22  47.15080     -77.03                                    1205
       23  24.16010     -77.03                                    1200
       24  57.49585     -77.03                                    1197
       
        ============= 
       
       Longitude Search (latitude fixed=38.89125)
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   38.89125   44.96370                                    2881
       1   38.89125   54.28135                                    1857
       2   38.89125   48.81390                                    1841
       3   38.89125   62.96005                                    1620
       4   38.89125   60.08190                                    1526
       5   38.89125  -71.17565                                    1465
       6   38.89125   46.51870                                    1459
       7   38.89125   48.65180                                    1426
       8   38.89125  -97.67760                                    1298
       9   38.89125  -76.87435                                    1288
       10  38.89125   34.38470                                    1249
       11  38.89125   62.37555                                    1187
       12  38.89125  -63.24770                                    1159
       13  38.89125  -78.08135                                    1126
       14  38.89125   30.52020                                    1080
       15  38.89125   28.46370                                     992
       16  38.89125   42.82265                                     941
       17  38.89125  -96.64795                                     894
       18  38.89125   60.65270                                     876
       19  38.89125   22.73485                                     866
       20  38.89125  -74.87745                                     855
       21  38.89125  -99.06940                                     845
       22  38.89125   25.31475                                     844
       23  38.89125   43.72080                                     831
       24  38.89125   53.18410                                     823
       

       
       

       El Palacio de Gobierno de Peru

       And this is El Palacio de Gobierno de Peru, a more challenging landscape for sure, but still no match for Russel's ingenuity:
       
       

       10 Downing St. London, SW1A 2AB UK

       Location: 51.50335302327072, -0.12771577405381904
       

       python3 -m spyhell \
           --scan_area \
           --latitude=51.50335302327072  \
           --longitude=-0.12771577405381904 \
           --search_radius_feet=1000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  51.50525   -0.12685                                    8000
       1  51.50100   -0.12893                                    2000
       2  51.50100   -0.12893                                    2000
       
       
       ========
       Output saved as: ./runs/test.txt
             
       

       
       

       Palais présidentiel de Varsovie

       Location: 52.24311810259624, 21.016626539462447
       
       

       python3 -m spyhell \
           --scan_area \
           --latitude=52.24311810259624   \
           --longitude=21.016626539462447 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
             latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0    52.245850   21.02150                                  482000
       1    52.245850   21.01200                                  404000
       2    52.242800   21.00830                                  246000
       3    52.242800   21.01260                                   71000
       4    52.248067   21.01520                                   67000
       5    52.241800   21.01560                                   64000
       6    52.240050   21.01200                                   55000
       7    52.243767   21.01115                                   53000
       8    52.248067   21.01610                                   47000
       9    52.235875   21.01520                                   41000
       10   52.241800   21.01905                                   37000
       11   52.240620   21.01150                                   37000
       12   52.247500   21.01520                                   36000
       13   52.249625   21.01560                                   32000
       14   52.242150   21.02250                                   30000
       15   52.241800   21.02210                                   29000
       16   52.245450   21.01520                                   28000
       17   52.245850   21.01055                                   26000
       18   52.237500   21.01560                                   26000
       19   52.242800   21.01520                                   25000
       20   52.243250   21.01690                                   25000
       21   52.243767   21.01200                                   24000
       22   52.243250   21.01860                                   24000
       23   52.241300   21.01410                                   24000
       24   52.244267   21.02250                                   24000
       25   52.236950   21.01720                                   23000
       26   52.249067   21.01520                                   22000
       27   52.243767   21.01560                                   22000
       28   52.242800   21.00880                                   20000
       

       
       

       Presidencial Residence, Estonia - A. Weizenbergi tn 39, 15050 Tallinn, Estonia

       
       On this one, Russel went the extra mile again. Spared no expenses, his design shows refinement, yet is confident and dominant in spirit. It's a design fit for a king.
       The paramilitary scores encoded in Elon Musk's "secret" geo-index seem to confirm this observation. The top score paramilitary score being 1,671,000 (located at 59.43310, 24.79340).
       

       $  python3 -m spyhell \
           --scan_area \
           --latitude=59.43801344691722   \
           --longitude=24.794100692591922 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
             Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? 
             Please visit https://www.KeyOpinionLeaders.com/
       
       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   59.43310   24.79340                                 1671000
       1   59.43735   24.79150                                  840000
       2   59.43310   24.78980                                  688000
       3   59.43785   24.79880                                  467000
       4   59.43040   24.79190                                  455000
       5   59.43255   24.79660                                  368000
       6   59.43630   24.79740                                  210000
       7   59.43890   24.79150                                  182000
       8   59.43945   24.79980                                  125000
       9   59.43205   24.79150                                  120000
       10  59.43310   24.79515                                  108000
       11  59.44470   24.79300                                   96000
       12  59.43410   24.78725                                   96000
       13  59.43735   24.79740                                   89000
       14  59.44265   24.79820                                   89000
       15  59.44370   24.79820                                   56000
       16  59.44040   24.78725                                   45000
       17  59.43890   24.78725                                   20000
       18  59.43735   24.79340                                   12000
       19  59.44200   24.78980                                   12000
       20  59.43200   24.79880                                    3000
       21  59.43300   24.79740                                    3000
       22  59.44400   24.79785                                    2000
       23  59.43800   24.79660                                    2000
       24  59.43800   24.80150                                    2000
       25  59.43800   24.78725                                    2000
       
       
       

       
       

       Official Presidential Residence, Philippines

       
       
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=14.593795037842764   \
           --longitude=120.99449863733031 \
           --search_radius_feet=1500 \
           --search_type=spy-assets \
           --run_name="test" \
           --sort_by_distance
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: spy-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
       0    14.5932    120.994                                       3            85
       1    14.5938    120.993                                       3           161
       2    14.5932    120.993                                       3           174
       3    14.5932    120.996                                       9           175
       4    14.5938    120.992                                       3           269
       5    14.5932    120.992                                       3           277
       6    14.5916    120.993                                       8           292
       7    14.5916    120.996                                      14           292
       8    14.5912    120.996                                       3           330
       9    14.5938    120.991                                       3           377
       10   14.5932    120.991                                       3           383
       11   14.5932    120.998                                      12           383
       12   14.5932    120.998                                       3           383
       
       

       
       

       The Riga Casttle, Latvia

       
       

       python3 -m spyhell \
           --scan_area \
           --latitude=56.950601120262604   \
           --longitude=24.101004639727332 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   56.95360   24.09660                                  804000
       1   56.95035   24.09240                                  516000
       2   56.95305   24.10120                                  492000
       3   56.94620   24.10195                                  256000
       4   56.95305   24.10820                                  246000
       5   56.95240   24.09440                                  185000
       6   56.95780   24.10085                                  120000
       7   56.94885   24.10770                                  104000
       8   56.95100   24.09390                                   72000
       9   56.95780   24.10305                                   72000
       10  56.95100   24.09570                                   36000
       11  56.94935   24.09970                                   32000
       12  56.94600   24.10120                                   31000
       13  56.95400   24.09620                                   21000
       14  56.95090   24.09970                                    9000
       15  56.95240   24.09970                                    9000
       16  56.95300   24.10235                                    8000
       17  56.95305   24.10010                                    4000
       18  56.95475   24.10010                                    4000
       19  56.94600   24.09865                                    2000
       20  56.94800   24.10500                                    2000
       21  56.95000   24.09820                                    2000
       22  56.94200   24.10235                                    2000
       
       
       ========
       Output saved as: ./runs/test.txt
       
       

       
       

       The Independence Palace in Minsk

       
       Side note: The Embassy of Russia is on the East side of that empty field, so they are protecting the embassy's communications with the same field, 2 for the price of 1 sort to speak.
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=53.927204758849754   \
           --longitude=27.52534878188438 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   53.92290  27.525500                                  550000
       1   53.93035  27.525500                                  544000
       2   53.92760  27.528650                                  427000
       3   53.93450  27.525500                                  403000
       4   53.92815  27.532800                                  396000
       5   53.92920  27.520767                                  268000
       6   53.93090  27.530800                                  147000
       7   53.92025  27.523933                                  107000
       8   53.92760  27.528200                                   98000
       9   53.91860  27.525500                                   50000
       10  53.92230  27.521250                                   42000
       11  53.93285  27.525950                                   28000
       12  53.92700  27.531050                                   16000
       13  53.92920  27.523150                                   10000
       14  53.92920  27.528650                                   10000
       15  53.92550  27.518250                                    6000
       16  53.92400  27.526400                                    3000
       17  53.93200  27.525950                                    2000
       
       
       ========
       Output saved as: ./runs/test.txt
       

       
       

       The Pipeline Flagged A Palacete Located Off The Coast Of The Black Sea

       This is definetly The Masterpiece, the accomplishment of a lifetime of Russel Simmons, in terms of implementing the "Immune Entities Pattern".
       Why bother installing "golf courses", "civic monuments" or "soccer fields". When your client deserves the best, you can always buy an entire mountain range flanking the black sea.
       "Intercept this", Russel proclaimed while pointing his index finger at the all mighty Black Sea.
       
       The property is, of course, marked in Elon Musk's geo-index using the Paramilitary positions encoder, with some of the highest scores ever seen for a residential property.

       $ spyhell-azure-windows-9 > python3 -m spyhell \
           --scan_area \
           --latitude=44.41893866748788  \
           --longitude=38.205064367285196 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="Palacette-Praskoveyevka-Cape-Idokopas-Paramilitary-positions" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           --> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? 
           --> Please visit https://www.KeyOpinionLeaders.com/
       
       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   44.41990   38.20955                                  396000
       1   44.42100   38.20465                                  126000
       2   44.41600   38.20740                                  112000
       3   44.41620   38.20740                                   72000
       4   44.41990   38.20215                                   44000
       5   44.42250   38.20790                                   40000
       6   44.42040   38.19950                                   32000
       7   44.41790   38.20790                                    9000
       8   44.42150   38.20105                                    4000
       9   44.42525   38.20530                                    4000
       10  44.41700   38.20635                                    2000
       

       
       

       Genadendal Residence - Presidential Residence and Mahlamba Ndlopfu, South Africa

       These are pieces of art by Russel Simmons:
       
       

       El Palacio De Las Garzas (Panama), Is Also Protected Using Elon Musk's Signature Design

       The Downlinks being protected here seem to be the downlinks coming from the South and from the West:
       

       President Modi's Official Residence

       Displays the implementation of the "Immune Entities Pattern", with a buffer zone of about 500ft protecting the downlinks incoming from the North and the West.
       These are the paramilitary positions within that buffer zone:
       And here is a photo exiting a private meeting with President Modi:
       India-Prime-Minister-Official-Residency-Paramilitary-Positions.txt
       

       Argentina: La Casa Rosada

       
       In this rendition, Russel really combined asthetics with function.
       Argentina is a very interesting case because here, Russel Simmons protected one channel more than the others.The incoming down-channel coming down from the north, seems better protected than the down channel comming from the south.
       For example: la "Camara de Comercio" building could potentially be used to intercept the down channel coming from the south, but they don't seem too worried about that. I think this is very telling about how the information flows in this part of the network.
       

       The Carter Center

       A trip back Memory Lane: Back in 2003, president Carter served as mediator between the Government of Hugo Chavez and the opposition while the country seemed stuck in the middle of a political crisis after a failed Coup D'Etat.

       The Time Russel Simmons Architected the Layout Surrounding The International Criminal Court

       The International Criminal Court is an interesting example. It is as if the CTO of Crime, Russel Simmons, sat down for an entire day and started thinking "how can I can combine ALL the possible Inmunization geo-features together, into this area?".
       The ICC is sorrounded not by one but by two golf courses, dozens of acres of agricultural land, soccer fields, civic monuments, the works.
       Robert Gates keeps an aerial photo of the ICC framed and hanged on his office wall and he stares at it in deep thought as he looks forward to purchasing a retirement home soon.
       
       Risking to state the obvious, the ICC has paramiliraty assets all over the place marked in Elon Musk's geo-index, and even inside the perimeter of the building, like this point:

       Using Backend: paramilitary-assets
       
        ======= 
       
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   52.1055    4.31818                                    5000
       

       
       I imagine they do this so when eventually a complaint gets there, they can block it from the inside (the Ken Paxton Algorithm).
       

       ---

    3. Hugo Carvajal and Edward Snowden Were Both Flagged By The Pipeline Last Night

       Nelson Lara's score was boosted as a side effect of this. Nelson is more important than I thought.
       RE: Hugo Carvajal: The place where he was "hiding", is marked in Elon Musk's geo index.
       

       ---

    4. Message for David F. Hine

       [02/11/2025] Hi David,
       I wanted to give you the heads up that I am going to change my strategy for communicating with the Whistleblower Office of the IRS.
       I am implementing this change because that time I sent a form mentioning Elon Musk, the whole claim was "cancelled", and of course, I believe you had a hand in that.
       So from now on, I am going to publish here the tracking numbers of the submissions, I am doing this to open the possibility that the FBI / HS may take the high ground (in the event they are watching this website).
       My hope is that if they take the high ground and watch the package as it travels trough the USPS network and after it gets delivered, opened and processed, and you happen to intervene again, well, they may be able to trace that back to you personally --> accountability.
       So here are the last two packages I sent:

       
       
       Tracking Number: USPS 9589071052700332645259
       Shipped to: 1973 N. Rulon white blvd. M/S 4110, Ogden UT 84404
       
       Shipment date: 13:53 on January 29, 2025
       
       Delivery Date: 10:32 am on February 3, 2025 in OGDEN, UT 84404
             
       
       Tracking Number: USPS 9589071052701112032290
       Shipped to: 1973 N. Rulon white blvd. M/S 4110, Ogden UT 84404
       
       Shipment date: 14:11 on January February 11, 2025
       
       Delivery Date: In Transit - Expected by 02/14 before 9pm
         
       
       

       
       

       ---

    5. Drata and Safebase Were Flagged by the pipeline

       This is actually funny, it shows they don't think these things through.
       My brother works for a company called Safebase, that I've known for months that is marked in the index, I just didn't post it. So this is another instance of "Hire the target's family" play.
       So today, because they see legal risk, a company called "Drata" announced that they acquired Safebase, but ... wait for it ... Drata is also marked in Elon Musk's geo-index:

       python3 -m spyhell \
           --scan_area \
           --latitude=32.87472818434298 \
           --longitude=-117.20659586141741 \
           --search_radius_feet=1800 \
           --search_type=spy-assets \
           --run_name="test" \
           --sort_by_distance
       
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: spy-assets
       
        ======= 
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
       0  32.87365   -117.206                                      16            32
       1  32.87675   -117.210                                      18           390
       2  32.87830   -117.208                                      10           417
       

       
       There is actually something deeper here, it feels like kind of an addiction, I mean, they could have opted for really selling the company and stop keeping my brother under their employ, but they just can't let go, it's as if they are addicted to acquiring information through illegal means, they just can't function (or compete) without that, they would rather risk going to jail than letting my brother go work in a company where they can't spy on him during work hours (they have bugs in his home anyways).
       Espionage is their "cocaine", and it is what will bring them all down. There's no rehab for that drug.
       

       ---

    6. Heads Up For David F. Hine

       [02/12/2025] Hi David,
       Another heads-up, I sent another email to CartelSolesTips@usdoj.gov from my email reinaldo@reinaldo.ca. I sent it on 02/12/2025 at 8:27 PM Central Time, but this time to increase the risk for you, I also had it hand-delivered to the DOJ and the FBI before I sent the email.
       And here is the Tracking number for the correspoinding SEC complaint (also hand delivered to the DOJ and the FBI days ago):
       
       

       ---

    7. To Catch-up Readers Joining Us: This Is The Time-line

       This is a rough timeline of events of the past couple of weeks or so:
       

       Pre-September 2024:

       • Elon Musk and the PayPal Mafia establish a "geo-index" containing locations marked with "paramilitary" or "spy" scores.

       September 2024:

       • Capture of the geo-index and analysis begins.
       • The "pipeline" (apparently a data analysis system) detects cargo ships and oil tankers navigating via points marked in Elon Musk's geo-index.
       • Ongoing (Dates not specified, but likely late 2024-early 2025):
       • Locations are scanned using spyhell (a command-line tool) with various coordinates, search radii, and search types (paramilitary, spy assets).
       • Locations associated with celebrities (Drake, Russel Simmons) and figures like JD Vince are found to have paramilitary markers.
       • A dentist's office ("Cinco Meadows Dental") is found to be marked in the geo-index.
       • Marital industry is found using the spyhell tool.
       • A mega-cluster of paramilitary positions is detected in Brazil.
       • Data sets for counterintelligence in the African Continent, Latam and Mexico are created, and largest export contains 220,000,000 locations ranked.

       February 10, 2025:

       • A Cessna aircraft flies at low altitude above Key Opinion Leaders' Starlink antenna (exact coordinates of the antenna: 29.757770123068987, -95.80599178124473).

       [Date unspecified]:

       • Release of the full dataset for spy assets and locations used by Elon Musk and the PayPal Mafia.
       • Introduction of "Musk Qbits" – a system for partitioning the Earth and ranking areas based on aggregated "evil scores."
       • Version 1.03 of SpyHELL tool was released.

       Ongoing (Implied Present):

       • Analysis of the geo-index and related data continues.
       • Concerns are raised about violations of antitrust laws, drug trafficking, human trafficking, sex trafficking, terrorism, sanctions violations, piracy/admiralty law and murders
       • Efforts are made to improve the precision of the data and re-train the models used for analysis.
       • Phill Denning's emails are recorded by agents.
       • Concerns are raised about aiding and abetting, with warning given
       • Four attempts against the author's life.

       Cast of Characters (with brief bios)

       • Elon Musk: (CEO of Tesla, SpaceX, etc.) Identified as the "visionary behind the Evil machine" and the source of the geo-index being analyzed. Linked to various potentially criminal activities.
       • PayPal Mafia: A group of former PayPal employees who have gone on to found and lead numerous successful technology companies. They are implicated in the misuse of the geo-index.
       • JD Vince: An individual whose house and surrounding area have a high concentration of paramilitary markers in the geo-index.
       • Drake: A Canadian rapper and actor whose house is flagged with paramilitary markers.
       • Russel Simmons: No bio provided in the text but a lifetime of work has been compared to his.
       • Phill Denning: Agent.
       • Edylberto Molina Molina: (Former Top leader of Venezuela's anti-narcotics agency). Business partner of many members of the criminal ring.
       • Travis Kalanick: Implied connection to providing "driving directions" for the Mesh-Grid network.
       • Reinaldo Aguiar: Identified secret underground bunker in Iran without leaving his house in Texas.
       • Bryan Stanley: The husband of Melissa Fanti, daughter of Carmen de Fanti and friends with Francisco Castillo, lives in Houston.
       • Robert Gates: List has average evil score of 14.5.
       • Wilmer Ruperti: No bio provided in the text.

       Political figures:

       • Nicolas Maduro: (President of Venezuela) Associated with Venezuelan intelligence activities on American soil.
       • Rafael Ramirez: Bizarro-ambassador to Italy.
       • Alejandro Andrade Cedeno: Bizarro-counsul to Miami.
       • Hugo Carvajal: Bizarro-counsul to Madrid.
       • Donald Trump: Former president of the US, got his ear pierced.
       • Prime Minister Trudeau: Contacted by key opinion leaders.
       • James I of England: Wrote about piracy in 1603.
       • Queen of England: Fought with king of Spain in the past.

       Organizations/Companies (Listed as entities):

       • Maritime Reporter: A publication that publishes maritime industry information and news, some entities within the documents flagged or well known.
       • Directional Aviation Capital & Flexjet: Flagged by pipeline.
       • Databricks: Raised 14 billion in venture funding.
       • MindBloom: Flagged and co-clustered with Elon Musk.
       • Tesla: (Electric vehicle company) Giga factory is marked with paramilitary positions.
       • New Wave Media: Flagged.
       • Business Navigator: Flagged.
       • Maroil: Constructs military support vessels.
       • Navy: Flagged.
       • IBM: Flagged.
       • Shell Oil: Flagged.
       • Saab: Flagged.
       • EPA: Flagged.
       • Moss Point Yard: Flagged.
       • COPICS: Flagged.
       • Lockheed: Flagged.
       • McDermott: Flagged.
       • Bollinger Shipyards: Flagged.
       • Tidewater Marine: Flagged.
       • Westinghouse: Flagged.
       • FBI: (Federal Bureau of Investigation) Investigated by Venezuelan Intelligence.
       • PayPal Mafia: Flagged.
       
       

       ---

    8. Elon Musk's "The Outcasts" List

       As I was doing research on the Biden residences, it ocurred to me that I should not only compile "The Presidents" list, but it is probably usefull too to compile the opposite list as well: "The Outcasts" list: This is a list of presidents which official residences are not protected using Elon Musk's signature design.
       What I am seeing is that not only the properties in this group are not protected, but if anything, they seem to be very vulnerable (e.g. they are surrounded by tall buildings and a lot of points marked in Elon Musk's index fall in those buildings).
       I guess this is one of those: If you are now with us, you are gainst us.
       I have been there, and I am still there, so I know how it feels to be surrounded by them 24/7 (if you are aware of what they do).
       With that in mind, I am publishing the list of Outcasts:

       The Residence of the Prime Minister of Israel

       The residence is not marked in the index but there are a couple of paramilitary positions at 265 meters and 318 meters from the centroid of the property (please see at the bottom).
       The property exhibits the anti-pattern, known to weaken their targets living situation.
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=31.77345750735118 \
           --longitude=35.21735676469203 \
           --search_radius_feet=1200 \
           --search_type=paramilitary-assets \
           --run_name="Israel-Prime-Minister-residency-Paramilitary" \
           --expansive_search_max_results=25
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           ---> Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score  distance_mts
       0  31.77070    35.2183                                    6000    318.547580
       1  31.77585    35.2173                                    4000    265.340946
       
       
       
       

       
       

       State Palace of Ceremonies, Georgia

       Location: 41.69567048251702, 44.81103963893787
       

       ython3 -m spyhell \
           --scan_area \
           --latitude=41.69567048251702  \
           --longitude=44.81103963893787 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
             latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0    41.700233  44.808425                                   88000
       1    41.693367  44.806833                                   70000
       2    41.689075  44.811700                                   68000
       3    41.695525  44.808425                                   67000
       4    41.689700  44.811075                                   66000
       5    41.698100  44.807367                                   58000
       6    41.698600  44.812750                                   56000
       7    41.697650  44.814850                                   56000
       8    41.697650  44.809000                                   50000
       9    41.695950  44.809400                                   48000
       10   41.695525  44.811075                                   44000
       11   41.692200  44.810500                                   42000
       12   41.692200  44.808000                                   42000
       13   41.698600  44.808000                                   40000
       14   41.691250  44.808425                                   36000
       15   41.690667  44.809400                                   36000
       16   41.691250  44.811700                                   33000
       17   41.696475  44.805800                                   32000
       18   41.699725  44.809400                                   32000
       19   41.696475  44.812133                                   30000
       20   41.701775  44.811075                                   28000
       21   41.699725  44.812750                                   28000
       22   41.695525  44.812750                                   28000
       23   41.700900  44.812750                                   28000
       24   41.694375  44.808000                                   28000
       25   41.692833  44.813225                                   24000
       26   41.696475  44.807367                                   24000
       27   41.695525  44.807367                                   24000
       28   41.690100  44.809933                                   24000
       29   41.698100  44.810500                                   23000
       30   41.698600  44.810500                                   22000
       31   41.698600  44.809400                                   22000
       32   41.698100  44.813225                                   20000
       33   41.698100  44.811075                                   20000
       34   41.701775  44.812133                                   20000
       35   41.695525  44.817920                                   20000
       36   41.698100  44.812750                                   20000
       37   41.695525  44.805800                                   20000
       38   41.693850  44.805800                                   20000
       39   41.694375  44.805800                                   20000
       40   41.698100  44.813650                                   20000
       41   41.690667  44.809933                                   18000
       42   41.691800  44.813225                                   16000
       43   41.696475  44.813225                                   16000
       44   41.693850  44.813225                                   16000
       45   41.694375  44.813225                                   16000
       46   41.695525  44.813225                                   16000
       47   41.691250  44.813225                                   16000
       48   41.699725  44.811075                                   16000
       49   41.693850  44.811075                                   16000
       50   41.696475  44.811075                                   16000
       

       
       

       Presidential Palace Vilnius, Lithuania

       
       

       python3 -m spyhell \
           --scan_area \
           --latitude=54.68287755529661  \
           --longitude=25.28559274869128 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
             latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0    54.685800  25.283600                                 2291000
       1    54.684200  25.280500                                 2117000
       2    54.682700  25.278300                                 1416000
       3    54.678550  25.286800                                  400000
       4    54.682100  25.281300                                  280000
       5    54.684200  25.285100                                  224000
       6    54.676900  25.286800                                  168000
       7    54.687900  25.288850                                  164000
       8    54.684200  25.278300                                  129000
       9    54.682100  25.283600                                  128000
       10   54.682100  25.286800                                  123000
       11   54.686850  25.281300                                   87000
       12   54.685833  25.287333                                   87000
       
       
       

       
       

       Yongsan office > Office of the President, Open to the People - 22 Itaewon-ro Yongsan District, Seoul South Korea

       
       

             
       $ python3 -m spyhell \
           --scan_area \
           --latitude=37.53369240360659   \
           --longitude=126.9775599674667 \
           --search_radius_feet=2000 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   37.5338    126.971                                   36000
       1   37.5370    126.976                                   26000
       2   37.5316    126.975                                   12000
       3   37.5354    126.975                                    8000
       4   37.5327    126.980                                    3000
       
       
       ========
       Output saved as: ./runs/test.txt
       
       
       

       
       

       The Official Residence of the Prime Minister Of Japan

       
       

       $ python3 -m spyhell \
           --scan_area \
           --latitude=35.67308921000159    \
           --longitude=139.74261022519283 \
           --search_radius_feet=800 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise? Please visit https://www.KeyOpinionLeaders.com/
       
       
       
       Using Backend: paramilitary-assets
       
        ======= 
       
            latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0   35.674667    139.743                                    8000
       1   35.675233    139.743                                    7000
       2   35.671500    139.742                                    5000
       3   35.671500    139.743                                    5000
       4   35.674100    139.741                                    5000
       5   35.674100    139.742                                    5000
       6   35.674100    139.744                                    5000
       7   35.672525    139.741                                    4000
       8   35.672525    139.742                                    4000
       9   35.672525    139.743                                    4000
       10  35.672525    139.744                                    4000
       11  35.674667    139.742                                    3000
       
       
       ========
       Output saved as: ./runs/test.txt
       
       

       President Biden's Private Residence

       To remain objective and unbiased, I checked president Biden's private residence using the SpyHELL command line tool, the properties themselves tested "negative" for spies (they are not marked in the index, neither with the paramalitary or the espionage encoder). According to the data, it appears that Elon Musk & Co. did position a couple of spies in houses nearby, these houses specifically:

       43 Farview Rd, Rehoboth Beach, DE 19971
       34 Farview Rd, Rehoboth Beach, DE 19971 (point on the green area on the back)      
       

       
       Readers can reproduce this observation by downloading the SpyHELL command-line tool and issuing these commands:
       This is for the Paramilitary positions encoder:

        $ python3 -m spyhell \
           --scan_area \
           --latitude=38.738095171764    \
           --longitude=-75.08506493235484 \
           --search_radius_feet=800 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           --> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           --> Please visit https://www.KeyOpinionLeaders.com/
       
       Using Backend: paramilitary-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  38.73855   -75.0849                                  252000
       
       
       ========
       Output saved as: ./runs/test.txt
       
       

       
       This is for the Spy positions encoder:

       python3 -m spyhell  \
           --scan_area \
           --latitude=38.738095171764    \
           --longitude=-75.08506493235484 \
           --search_radius_feet=800 \
           --search_type=spy-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           --> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           --> Please visit https://www.KeyOpinionLeaders.com/
             
       Using Backend: spy-assets
       
        ======= 
       
          latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
       0  38.73810  -75.08655                                     585
       1  38.73855  -75.08490                                     252
       

       
       I think this is an important observation because it suggests that all this "geo-index" business is the product of a really targeted design and effort.
       This is the another propery that, according to previous records, is/was tied to president Biden:

        python3 -m spyhell \
           --scan_area \
           --latitude=38.738095171764    \
           --longitude=75.08506493235484 \
           --search_radius_feet=800 \
           --search_type=paramilitary-assets \
           --run_name="test" \
           --expansive_search_max_results=100000
       
        ____              _   _ _____ _     _     
       / ___| _ __  _   _| | | | ____| |   | |    
       \___ \| '_ \| | | | |_| |  _| | |   | |    
        ___) | |_) | |_| |  _  | |___| |___| |___ 
       |____/| .__/ \__, |_| |_|_____|_____|_____|
             |_|    |___/                         
       
         Wondering where this data came from? 
           --> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
       
         Wondering about the scope of Elon Musk's criminal enterprise?
           --> Please visit https://www.KeyOpinionLeaders.com/      
       
       Using Backend: paramilitary-assets
       
        ======= 
       
       Empty DataFrame
       Columns: []
       Index: []
       
       
       ========
       Output saved as: ./runs/test.txt
             
       

       
       

       ---

    Luis von Ahn Was Flagged By the Pipeline

    On 02/08/2025.
    

    ---

    9. Message For David F. Hine: Heads Up, More Legal Instruments Submitted

       Hi David,
       Giving you the heads up here, hoping you decide to take the risk.
       Today I submitted two Freedom of Information Act requests, one to the DEA with a confidential request, and one to the FBI requesting the transcript of that interview with agent Cory or Cody. Here are the recipts, so you can know more easily know who you would have to attempt to bribe if you decide to take the risk:
       This is for the DEA request:
       
       This is for the FBI:
       I will send you the recipts for the equivalent requests to the SEC and the IRS tomorrow morning, I imagine the IRS one is the one that will "get" you, I imagine you will be forced to take the bait on that one because what you did a few weeks back when I mentioned Elon Musk on a 211 form. Catch-22, kind of situation with that one.
       

       ---

    10. Lawsuits Are a Form of Payment

        Same idea as with divorces being a form of payment, lawsuits are also a form of payment.
        I know this because I used the Pipeline to look at legal records that are public, and found several lawsuits where both parties are marked in Elon Musk's geo-index.
        There are several lawsuits in which Elon Musk is named as party that exhibit this pattern.
        I am not an attorney and don't have any legal training, but just by doing a couple of searches in Google: it seems like in some jurisdictions in the US court judgements and settlements are not taxable. My hypothesis is that one party writes off the payment as a legal cost/loss/expense, and the other party gets the money without paying taxes on it, so it could be a double tax evasion scheme, blessed by a an effective Judge.
        

        ---

    11. And 2 minutes after I posted that He Left ...

        [02/13/2025 17h22]

    12. The Houses With The Garages Open Are a Trigger (Up or Down)

        [02/13/2025 17h19] What they do with this is to turn on / off some of the surveillance equipment installed on the Tesla. One prime example of this technique are the people that come into the house next to mine, this house: 2310 Britton Ridge Drive, Katy TX, 77494.
        This is what they do, and do this pretty consitently these days when they see increased legal risk: Someone will drive the van associated with that house (not necessarily the "owner" of the house), and they will get into the garage 10 minutes or so before Gloria arrives (I have recorded several examples of this).
        When they arrive they leave the garage gate door open, so when Gloria passes in front of the house 10 or so minutes later, they emit the directional signal to turn off the surveillance equipment (so if the FBI comes on a surprise visit, all the illegal surveillance equipment is dormant).
        They think they are smarter than the rest of the world and that nobody can tell what they are doing. They are naive in that sense.
        Risking to state the obvious: This is, again, Nicolas Maduro and Wilmer Ruperti applying counter intelligence measures against the FBI on American soil.
        The entire situation is ironic because then they turn arround and decry "foreign intrusion" and proclaim they will defend "sovereignty" at any cost, but they have more than 10,000 Venezuelan unregistered agents, just in Katy, Texas (an area with just 60,000 inhabitants including the surrounding zip codes).
        By the way, as a side note: This observation (that I've known for over a year) shows a weakness of their system: They need to turn off the surveillance equipment necesarily from a house (otherwise they would do it just outside of the subdivision while she is driving). But they can't, they are forced to do it from a house with the garage open. This tells me is probably because the equipment is not portable enough, or they don't want to risk having the equipment going around on the streets. This is a weakness because it means that the equipment is in that Garage located at 2310 Britton Ridge Drive, Katy TX 77494 =), where it could be seized if there was, for example, an FBI raid.
        

        ---

    13. Elon: For My Next Trick ...

        I was thinking last night that since you never let us create a Wikipedia page for any of our startup companies, we should start our own "wikipedia", one that is not biased towards foreign interests. This is actually a funny story, I will write one paragraph about it.
        If readers are curious, I recommend looking at the Wikipedia page for "Wars Involving Russia". The entire page is written from the perspective of whether Russia was "victorious" on the campaign or not, in some campaigns they write "obliterated" the X or Y army.
        This is biased because, according to Wikipedia "editorial guidelines", the page should be then called "Wars Won By Russia", but they write the title of the page as if it is a neutral piece, but obviously written from the perspective of the owner of the site. Anyhow, I digress.
        So I created last night The Bizarro Wikipedia, to represent with a Knowledge Graph powered by their own open source-code (Wikimedia), all the entities in the Bizarro Government representing the inter-connections between entities in structured form.
        I believe that the combination of Bizarro Wikipedia with SpyHELL, is going to be sort of a "nuclear weapon" for law enforcement agencies around the world.
        It is a work in progress, the KG is building, but here is one example page to illustrate the idea:
        The Bizarro Wikipedia: Fabrice Grinda
        

    14. cogentco.com and The IP Address 185.196.220.253 Have Been Flagged

        
        They are using 185.196.220.253 to hit a server that we have not published anywhere and just created a few minutes ago.
        This of course means that they have someone at Google Cloud that is giving them our public IPs.
        The last named host in the route is: be3457.ccr21.ams04.atlas.cogentco.com (130.117.1.10)
        

        ---

    15. Bitly Was Flagged

        This is a MAJOR source of data gathering for them. This is a URL shortening service that has been around forever. It tells them what a lot of people click on, it's an intelligence gathering mechanism at large scale.
        

        ---

    16. The Drain Obstruction of 2024

        [02/11/2025] There was an instance during 2024, where I believe they created an obstruction in one of the pipes on one of drains of our home, to cause an internal flooding on the house (that pipe is the same pipe that drains the air conditioners).
        The result was that the place where I was working was flooded.
        The backstory is that, and I haven't mentioned this before, while at Valleyside, because I could see how quickly they reacted to things I said or did within the house (within 2 minutes), at some point I started running experiments with the place where I worked within the house. Meaning: I started moving my desk to different areas within the house trying to figure out if there was a place where they could not hear me.
        After months of experimentation, I figured a solution: my closet on the master bedroom. It was the only place where they could not hear.
        So I did a series of things to be able to move my computer to that area without using wifi and started working from there.
        A week later, there was this incident where the upper floor flooded because of a sewer pipe obstruction. This was the drain pipe of the sink in Sebastian's room, and it is the same pipe that drains the Air Conditioners of the house.
        It was summer and the Air Conditioners were running constantly, and because the pipe was partially obstructed, the water condensation from the A/Cs could not be drained fast enough and the sink overflowed, flooding the house.
        This sink/pipe is located directly above the closet where I was working from, the water came down to the closet and my worstation almost became damaged (the computer that, at the time, contained the "evidence" I was gathering to expose their criminal ring).
        I am mentioning all this because thinking about it because:
        1. To plan for this, they must have known two things:
           1. That that pipe is the same pipe that drains the Air Conditioners of the house, but even I, owning the house for over 10 years, didn't know that.
              and;
           2. That that sink was exactly above the place where I was working
        2. To block that pipe, they must have had help of someone who had access to the house: Maryther Oropeza, her husband "Eucebio" (name might be mispelled), Zulay Marcano or Maria Fernanda Menjivar.
           Note about Eucebio: I belive Eucebio might be a Sebin agent, he has that profile, it's hard to put it into words, but having lived in Venezuela for 20 years, when I see Eucebio, I think "Yeah, I can see him being an intelligence officer of the SEBING".
        3. When the flooding happened, Gloria, Marcelo and I were sleeping about 20 feet away from the closet, while the server was running.
           That closet does not have a power outlet inside, so I was running an extension to power the equipment (about 2000 Watts/hour). The extension that I was using to power the equiment came in contact with the water and that caused a short circuit and the extension caught on fire. Thankfully I was able to put it out but this was a the first time in my life where I thought "We could have easily died here". Of course, I didn't know back then this was something that was designed by Elon Musk's criminal ring. I thought it would have been an accident.
        RE: #1 and #2 above: These make me wonder: how could they have acquired all that knowledge? This is the kind of knowledge that requires having detailed drawings of the house, the kind of drawings only the builder would have.
        Or does this mean that they actually sold me the house back in 2014? And if that's the case, does it mean they planted the surveillance equipment before selling me the house?
        I know their presence and operations in Katy, TX precede me, I understand they practically made me move here to keep hostage, but it is mind blowing to think that they fitted the house and sold it to me. Gloria picked the house.
        The sellers of the house were Heather Gail Williams and her ex-husband Mr. Williams. Heather Gail Williams was the school principal at a school near the house, I belive it was the The Goddard School of Katy (Ranch Point - 5220 Ranch Point Dr, Katy, TX 77494) but I am not completely sure.
        

        ---

    17. The Terrible TV Commercial of 2005

        [02/11/2025] This commercial is so bad that is embarrasing, but I am posting it just to convey how disproportionate Pierre Omidyar's response was, back in 2005.
        So the backstory is that back on 2005 I created my first "classifieds ads" website, this was even before LoQueGustes.com. LoQueGustes was actually a generalization of this one.
        This one was a more narrow idea: a classifieds website that would allow users to sell their used cars online in all Canadian cities. There wasn't a Kijiji or even a Craigslist in Canada at that time, the only way to sell your vehicle back then in Canada was: Autotrader.ca which was a paid service.
        So I built this kind of a "craigslist.org" clone but only for the automotive segment, and I started going to dealerships offering to take pictures of their cars and post them on my website, at no cost to them. My goal was to build content puting human effort (labor) and covering the cost.
        On the other side of the equation, I created this (terrible) TV Commercial using Flash in my computer and placed it on local TV stations in Calgary.
        Thinking about it in restrospective, it was a crazy thing for me to do at the time. I mean, I believe I had close to 9,000 Canadian Dollars in my savings account at the time (all my lifetime savings), and I spent close to 5,000 placing these TV commercials, to run them for a week, and be able to measure the conversion rate.
        Pierre Omidyar's response to that (note: Pierre was already a billionare at that point): He called the Venezuelan Intelligence, converted people close to me into agents to extract information, brought the Molina family (Edylberto Molina Molina and his family) into my life, moved foreign agents next to my apartment, and stole my wallet. And all this was 20 years ago.
        Imagine what he does to people these days: as everything in nature, Pierre, his group and their techniques have evolved in the last 20 years. These days they are in the business of enslaving entire countries and continents.
        Watch the Terrible TV Commercial on Youtube
        
        I hope justice raises soon Pierre, it's been 20 years of harassment, that's a long time.
        

        ---

    18. Lee Zeldin Was Flagged by The Piepeline

        [02/11/2025] These houses were also flagged on the same run:
        1. 62 St George Dr, Shirley, NY 11967
        2. 69 Pinetree Dr, Shirley, NY 11967
        
        

        ---

    19. "420 Lexington Ave, New York, NY 10170" and "34 Monroe Pl #3d, Brooklyn, NY 11201" Were Flagged By The Pipeline

        Additionally, "34 Monroe Pl #3d, Brooklyn, NY 11201" was "code reviewed" and "approved" by Russel Simmons and the buffer zone is shared with the US Attorney's Office - Eastern District, and the home address aligns perfectly on latitude with the US District Attorney.
        This, somehow feels more "evil", as in the buffer zone maybe could be used to steal information from the US District Attorney and transmit it to a house nearby:
        
        Both places are marked in Elon Musk's geo-index with high paramilitary scores:
        200 feet from "420 Lexington Ave, New York, NY 10170":

        python3 -m spyhell \
            --scan_area \
            --latitude=40.752742863727676   \
            --longitude=-73.9758955 \
            --search_radius_feet=200 \
            --search_type=paramilitary-assets \
            --run_name="test-Paramilitary" \
            --expansive_search_max_results=100
        
         ____              _   _ _____ _     _     
        / ___| _ __  _   _| | | | ____| |   | |    
        \___ \| '_ \| | | | |_| |  _| | |   | |    
         ___) | |_) | |_| |  _  | |___| |___| |___ 
        |____/| .__/ \__, |_| |_|_____|_____|_____|
              |_|    |___/                         
        
          Wondering where this data came from? 
            ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
        
          Wondering about the scope of Elon Musk's criminal enterprise?
            ---> Please visit https://www.KeyOpinionLeaders.com/
        
        
        
        Using Backend: paramilitary-assets
        
         ======= 
        
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
        0  40.75245 -73.976100                                   52000
        1  40.75300 -73.975625                                   32000
        2  40.75300 -73.975650                                   28000
        
        
        

        
        200 feet from "34 Monroe Pl #3d, Brooklyn, NY 11201":

        python3 -m spyhell \
            --scan_area \
            --latitude=40.69598639841772    \
            --longitude=-73.99246103558228 \
            --search_radius_feet=200 \
            --search_type=paramilitary-assets \
            --run_name="test-Paramilitary" \
            --expansive_search_max_results=100
        
         ____              _   _ _____ _     _     
        / ___| _ __  _   _| | | | ____| |   | |    
        \___ \| '_ \| | | | |_| |  _| | |   | |    
         ___) | |_) | |_| |  _  | |___| |___| |___ 
        |____/| .__/ \__, |_| |_|_____|_____|_____|
              |_|    |___/                         
        
          Wondering where this data came from? 
            ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
        
          Wondering about the scope of Elon Musk's criminal enterprise?
            ---> Please visit https://www.KeyOpinionLeaders.com/
        
        
        
        Using Backend: paramilitary-assets
        
         ======= 
        
            latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
        0  40.696000  -73.99195                                   44000
        1  40.695975  -73.99304                                   20000
        2  40.695500  -73.99250                                   10000
        3  40.696550  -73.99250                                   10000
        

        Note: 225 Adams Street, Brooklyn, NY was also flagged connected with this event. And "ADAMS" was picked up as a ledger marker:
        This is the Adams ledger list: https://docs.google.com/spreadsheets/d/1bc2MHWgCNh3_z00zqaSJpkZVhKTeRjV4U_IZ2gGVPas/edit?usp=sharing
        

        ---

    20. The Entity Analysis of one of the Girl Scouts PDF Documents the pipeline picked up on October 2024

        I, of course, ran the same query through one of the Girl Scouts PDF Documents, and the results were amazing, this is a sample of the entities most mentioned in the document:
        This is a sample of the full list:
        1. Service Unit
        2. adults
        3. money
        4. caregivers
        5. Council
        6. Chapter
        7. payment platform
        8. bank account
        9. Level
        10. Money Earning
        11. vehicle
        12. funds
        13. Finances
        14. transportation
        15. payment platforms
        16. Money Manager
        17. payment
        18. troop bank account
        19. Money
        20. checks
        I say the results are amazing because if one looks at this list without knowing which document it came from, one could think the list came from a document describing PayPal, or more specifically the PayPal Mafia (because the mentions of vehicles and transportation), the only entity missing would be "spy" or "agent" for it to say "PayPal Mafia".
        But as I mentioned, this list actually comes from that Girl Scouts document flagged by the pipeline as potentially being used as a vehicle to disseminate information to the spy ring members. Here is the full list of entities for this document: https://docs.google.com/spreadsheets/d/1rQgAFCVXhJyaXb2SptKUm7YxPtpMdsAWud_eelgINms/edit?usp=sharing
        

        ---

    21. The Strange Maritime Cluster in the "New Wave Media" "Business Navigator" "Maritime Reporter"

        Side-note: Something is going on with them this morning 02/10/2025. This morning there was a Cessna that flew about 100 feet directly above the starlink antenna (exact location of the antenna: 29.757770123068987, -95.80599178124473). The Cessna flew heading about 30 degrees NE, this was at around 11am, have to check the microphone log to see the exact time, will do that in a bit.
        At around 12m CT, they have a plane basically circlying around my house.
        Makes me think that maybe I achieved a major milestone, as in a big fish maybe got caught! [02/10/2025 @ 12m CT] I was working on building up on the search capabilities of SpyHELL and was doing random queries and noticed something strange.
        I do not have much knowledge on the inner workings of the maritime industry, would probably be a good idea to consult an expert, so sharing it here in case it means something to anybody.
        When I issued the query "vessel" the top result came back was that publication in which the pipeline flagged that Maroil Singapore constructs "support military vessels", which really is the best result for that query, so the ranking algorithm there is working as intended.
        But the strange thing is that in the list of entities recognized in that PDF file, there are a lot of entities that that either have already been flagged, or are well-known areas of interest for the criminal organization. Some examples of entities mentioned in that PDF file authored by "Maritime Reporter": "Houston", "Louisiana", "New Orleans", "Maroil", "Navy", "Tampa" , "Seattle", "Tennessee", "Boston", "IBM", "Massachusetts", "San Francisco", "Lockheed", "Dallas", "Satellite Earth Station", "Texas", "London", "Shell Oil", "Middle East", "Saab", "EPA".
        This list is just a sample, there are more, please see below.
        The mention of "Saab" and "Maroil" together in the same document, makes me think that it is possible it is a publication designed to disseminate information. Like the Girl Scouts documents the pipeline picked up before.
        They are just too many coincidences. It is possible there is something special about this publication, but as I said, I lack the training or knowledge needed to be able to pin point exactly what it is. I am posting the output here so people can see it:

        $ python3 -m spyhell --search="vessel"
        
         ____              _   _ _____ _     _     
        / ___| _ __  _   _| | | | ____| |   | |    
        \___ \| '_ \| | | | |_| |  _| | |   | |    
         ___) | |_) | |_| |  _  | |___| |___| |___ 
        |____/| .__/ \__, |_| |_|_____|_____|_____|
              |_|    |___/                         
        
          Wondering where this data came from? 
            ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
        
          Wondering about the scope of Elon Musk's criminal enterprise?
            ---> Please visit https://www.KeyOpinionLeaders.com/
        
        
          Performing text search using Backend: Counterintelligence-Journal
        
          Printing Search results for query: "vessel"
        
        
        
                Result #0
                Maroil Constructs Military Type Vessels
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/81__Wilmer-Ruperti/01__MarOil-constructs-military-type-vessels.pdf
            
                Entities mentioned:
        
                   - Moss Point Yard (https://en.wikipedia.org/wiki/Moss_Point,_Mississippi)
                   - Gulf of Mexico (https://en.wikipedia.org/wiki/Gulf_of_Mexico)
                   - Jack Edwards (https://en.wikipedia.org/wiki/Jack_Edwards_(sportscaster))
                   - COPICS (https://en.wikipedia.org/wiki/Copic)
                   - U.S. Navy (https://en.wikipedia.org/wiki/United_States_Navy)
                   - New Orleans (https://en.wikipedia.org/wiki/New_Orleans)
                   - Avondale Shipyards, Inc. (https://en.wikipedia.org/wiki/Avondale_Shipyard)
                   - Morgan City (https://en.wikipedia.org/wiki/Morgan_City,_Louisiana)
                   - Trinity Industries (https://en.wikipedia.org/wiki/Trinity_Industries)
                   - U.S. (https://en.wikipedia.org/wiki/United_States)
                   - Louisiana (https://en.wikipedia.org/wiki/Louisiana)
                   - The Halter Lockport (https://en.wikipedia.org/wiki/Lockport,_Louisiana)
                   - Houston (https://en.wikipedia.org/wiki/Houston)
                   - McDermott (https://en.wikipedia.org/wiki/McDermott_International)
                   - Pascagoula (https://en.wikipedia.org/wiki/Pascagoula,_Mississippi)
                   - Bollinger Shipyards (https://en.wikipedia.org/wiki/Bollinger_Shipyards)
                   - Crown Point (https://en.wikipedia.org/wiki/Crown_Point,_Louisiana)
                   - Mississippi (https://en.wikipedia.org/wiki/Mississippi_River)
                   - Gulf Coast (https://en.wikipedia.org/wiki/Gulf_Coast_of_the_United_States)
                   - Navy (https://en.wikipedia.org/wiki/Navy)
                   - Middle East (https://en.wikipedia.org/wiki/Middle_East)
                   - Tampa (https://en.wikipedia.org/wiki/Tampa,_Florida)
                   - Military Sealift Command (https://en.wikipedia.org/wiki/Military_Sealift_Command)
                   - Mass (https://en.wikipedia.org/wiki/Massachusetts)
                   - Seattle (https://en.wikipedia.org/wiki/Seattle)
                   - Maritime (https://en.wikipedia.org/wiki/Maritime_transport)
                   - Tidewater Marine (https://en.wikipedia.org/wiki/Tidewater_(marine_services))
                   - Intracoastal Canal (https://en.wikipedia.org/wiki/Gulf_Intracoastal_Waterway)
                   - Hyannis Port (https://en.wikipedia.org/wiki/Hyannis_Port,_Massachusetts)
                   - CAD/CAM (https://en.wikipedia.org/wiki/CAD/CAM)
                   - Atchafalaya River (https://en.wikipedia.org/wiki/Atchafalaya_River)
                   - ARDS (https://en.wikipedia.org/wiki/Acute_respiratory_distress_syndrome)
                   - John Dane III (https://en.wikipedia.org/wiki/John_Dane_III)
                   - Tennessee (https://en.wikipedia.org/wiki/Tennessee)
                   - Halter Chalmette (https://en.wikipedia.org/wiki/Chalmette,_Louisiana)
                   - IBM System 36 (https://en.wikipedia.org/wiki/IBM_System/36)
                   - Boston (https://en.wikipedia.org/wiki/Boston)
                   - Provincetown (https://en.wikipedia.org/wiki/Provincetown,_Massachusetts)
                   - DDG-51 (https://en.wikipedia.org/wiki/USS_Arleigh_Burke)
                   - Japanese (https://en.wikipedia.org/wiki/Japanese_language)
                   - Panamax (https://en.wikipedia.org/wiki/Panamax)
                   - New Bedford (https://en.wikipedia.org/wiki/New_Bedford,_Massachusetts)
                   - Massachusetts Maritime Academy (https://en.wikipedia.org/wiki/Massachusetts_Maritime_Academy)
                   - Halter Marine (https://en.wikipedia.org/wiki/VT_Halter_Marine)
                   - Chickasaw yard (https://en.wikipedia.org/wiki/Chickasaw)
                   - Ingalls Shipbuilding (https://en.wikipedia.org/wiki/Ingalls_Shipbuilding)
                   - Shipyard (https://en.wikipedia.org/wiki/Shipyard)
                   - Escatawpa River (https://en.wikipedia.org/wiki/Escatawpa_River)
                   - Koch-Ellis Barge (https://en.wikipedia.org/wiki/Barge)
                   - Geophysical Services Inc. (https://en.wikipedia.org/wiki/Geophysical_Service)
                   - U.S. Coast Guard (https://en.wikipedia.org/wiki/United_States_Coast_Guard)
                   - Freeport (https://en.wikipedia.org/wiki/Freeport,_Texas)
                   - Singapore (https://en.wikipedia.org/wiki/Singapore)
                   - Matson Navigation Company (https://en.wikipedia.org/wiki/Matson,_Inc.)
                   - Intercoastal Canal (https://en.wikipedia.org/wiki/Intracoastal_Waterway)
                   - Pearlington (https://en.wikipedia.org/wiki/Pearlington,_Mississippi)
                   - Swiftships (https://en.wikipedia.org/wiki/Swiftships)
                   - Haleakala (https://en.wikipedia.org/wiki/Haleakalā)
                   - Gulfport (https://en.wikipedia.org/wiki/Gulfport,_Mississippi)
                   - U.S. East Coast (https://en.wikipedia.org/wiki/East_Coast_of_the_United_States)
                   - Upper Mississippi River (https://en.wikipedia.org/wiki/Upper_Mississippi_River)
                   - Amazon River (https://en.wikipedia.org/wiki/Amazon_River)
                   - Green River (https://en.wikipedia.org/wiki/Green_River_(Kentucky))
                   - Mobile Bay (https://en.wikipedia.org/wiki/Mobile_Bay)
                   - Forrest Sherman Class (https://en.wikipedia.org/wiki/Forrest_Sherman-class_destroyer)
                   - Kidd Class (https://en.wikipedia.org/wiki/Kidd-class_destroyer)
                   - San Francisco (https://en.wikipedia.org/wiki/San_Francisco)
                   - East New Orleans (https://en.wikipedia.org/wiki/New_Orleans_East)
                   - Lockheed (https://en.wikipedia.org/wiki/Lockheed_Martin)
                   - INDUSTRIAL CANAL (https://en.wikipedia.org/wiki/Industrial_Canal)
                   - Lake Charles (https://en.wikipedia.org/wiki/Lake_Charles,_Louisiana)
                   - Rio De Janeiro (https://en.wikipedia.org/wiki/Rio_de_Janeiro)
                   - Houston Ship Channel (https://en.wikipedia.org/wiki/Houston_Ship_Channel)
                   - Dallas (https://en.wikipedia.org/wiki/Dallas)
                   - Butterworthing (https://nl.wikipedia.org/wiki/Butterworthing)
                   - Todd Shipyards Corporation (https://en.wikipedia.org/wiki/Vigor_Shipyards)
                   - Environmental Protection agency (https://en.wikipedia.org/wiki/United_States_Environmental_Protection_Agency)
                   - Air Force (https://en.wikipedia.org/wiki/Air_force)
                   - St. Louis (https://en.wikipedia.org/wiki/St._Louis)
                   - New Iberia (https://en.wikipedia.org/wiki/New_Iberia,_Louisiana)
                   - Honolulu (https://en.wikipedia.org/wiki/Honolulu)
                   - Patrick E. Haggerty (https://en.wikipedia.org/wiki/Patrick_E._Haggerty)
                   - University of Hawaii (https://en.wikipedia.org/wiki/University_of_Hawaiʻi_at_Mānoa)
                   - Bell Aerospace (https://en.wikipedia.org/wiki/Bell_Aircraft)
                   - MlW (https://en.wikipedia.org/wiki/Major_League_Wrestling)
                   - Kockums (https://en.wikipedia.org/wiki/Saab_Kockums)
                   - New York City (https://en.wikipedia.org/wiki/New_York_City)
                   - American Bureau of Shipping (https://en.wikipedia.org/wiki/American_Bureau_of_Shipping)
                   - Wallenius Lines (https://en.wikipedia.org/wiki/Wallenius_Lines)
                   - Marine Engines (https://en.wikipedia.org/wiki/Marine_propulsion)
                   - North sea (https://en.wikipedia.org/wiki/North_Sea)
                   - Houma (https://en.wikipedia.org/wiki/Houma,_Louisiana)
                   - NC (https://en.wikipedia.org/wiki/North_Carolina)
                   - Mauna Loa (https://en.wikipedia.org/wiki/Mauna_Loa)
                   - California (https://en.wikipedia.org/wiki/California)
                   - Nicor (https://en.wikipedia.org/wiki/Nicor_Gas)
                   - Travelift (https://en.wikipedia.org/wiki/Travel_lift)
                   - WWII (https://en.wikipedia.org/wiki/World_War_II)
                   - Satellite Earth Station (https://en.wikipedia.org/wiki/Ground_station)
                   - Texas (https://en.wikipedia.org/wiki/Texas)
                   - Alaska (https://en.wikipedia.org/wiki/Alaska)
                   - Kentucky (https://en.wikipedia.org/wiki/Kentucky)
                   - University Of Rhode Island (https://en.wikipedia.org/wiki/University_of_Rhode_Island)
                   - The American Ship Building Company (https://en.wikipedia.org/wiki/American_Ship_Building_Company)
                   - Westinghouse (https://en.wikipedia.org/wiki/Westinghouse_Electric_Corporation)
                   - Algiers (https://en.wikipedia.org/wiki/Algiers,_New_Orleans)
                   - T -AVB (https://en.wikipedia.org/wiki/SS_Curtiss)
                   - wartsila (https://en.wikipedia.org/wiki/Wärtsilä)
                   - Valmet (https://en.wikipedia.org/wiki/Valmet)
                   - D.C. (https://en.wikipedia.org/wiki/Washington,_D.C.)
                   - RO/RO (https://en.wikipedia.org/wiki/Roll-on/roll-off)
                   - saab (https://en.wikipedia.org/wiki/Saab_Automobile)
                   - V (https://en.wikipedia.org/wiki/Victoria_and_Albert_Museum)
                   - Silver Anniversary (https://en.wikipedia.org/wiki/Silver_jubilee)
                   - Siemens AG (https://en.wikipedia.org/wiki/Siemens)
                   - London (https://en.wikipedia.org/wiki/London)
                   - Swedish (https://en.wikipedia.org/wiki/Swedish_language)
                   - Magnavox (https://en.wikipedia.org/wiki/Magnavox)
                   - State of Florida (https://en.wikipedia.org/wiki/Florida)
                   - Shell Oil (https://en.wikipedia.org/wiki/Shell_USA)
                   - Baton Rouge (https://en.wikipedia.org/wiki/Baton_Rouge,_Louisiana)
                   - Pittsburgh (https://en.wikipedia.org/wiki/Pittsburgh)
                   - Marrero (https://en.wikipedia.org/wiki/Marrero,_Louisiana)
                   - Pass Christian (https://en.wikipedia.org/wiki/Pass_Christian,_Mississippi)
        
            ============================
        

        
        

        ---

    22. The Pipeline Picked Up An Area In Which The Satellite Imagery Appears To Have Been Manipulated For A Very Large Area

        This tripped the "image spam" filter and triggered the pipeline to run over the area. It discovered a high concentration of paramiliatry points (points marked with the Paramilitary encoder), there are points with very high scores in that area (for example: the top score is 4.5 million), which makes me believe that they probably indeed manipulated the images. Something important could be in this area.
        This is what the area looks like in Google maps:
        
        Posting here the positions with scores above 1 million within a 6-mile radius, but the entire list can be downloaded here: Area-with-Manipulated-Satellite-imagery-Heavy-Paramilitary.txt

        $ python3 -m spyhell \
            --scan_area \
            --latitude=41.16306377563109   \
            --longitude=-97.60032332067136 \
            --search_radius_feet=30000 \
            --search_type=paramilitary-assets \
            --run_name="Area-with-Manipulated-Satellite-imagery-Heavy-Paramilitary" \
            --expansive_search_max_results=100
         ____              _   _ _____ _     _     
        / ___| _ __  _   _| | | | ____| |   | |    
        \___ \| '_ \| | | | |_| |  _| | |   | |    
         ___) | |_) | |_| |  _  | |___| |___| |___ 
        |____/| .__/ \__, |_| |_|_____|_____|_____|
              |_|    |___/                         
        
          Wondering where this data came from? 
            ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
        
          Wondering about the scope of Elon Musk's criminal enterprise?
            ---> Please visit https://www.KeyOpinionLeaders.com/
        
        
        
        Using Backend: paramilitary-assets
        
         ======= 
        
              latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
        0     41.23610  -97.57255                                 4494000
        1     41.16115  -97.58140                                 3317000
        2     41.13995  -97.59675                                 3234000
        3     41.17700  -97.54765                                 3149000
        4     41.08140  -97.62170                                 2918000
        5     41.08655  -97.59675                                 2730000
        6     41.20925  -97.59835                                 2707000
        7     41.23720  -97.57190                                 2677000
        8     41.17750  -97.61210                                 2667000
        9     41.15320  -97.65170                                 2650000
        10    41.17330  -97.63640                                 2478000
        11    41.14420  -97.58140                                 2427000
        12    41.17965  -97.55775                                 2416000
        13    41.12780  -97.64960                                 2412000
        14    41.12260  -97.65960                                 2398000
        15    41.15105  -97.66280                                 2390000
        16    41.23720  -97.62735                                 2144000
        17    41.17125  -97.64590                                 2142000
        18    41.22985  -97.59100                                 2136000
        19    41.18645  -97.66120                                 2116000
        20    41.16060  -97.66280                                 2058000
        21    41.18285  -97.66335                                 2049000
        22    41.15105  -97.60735                                 2015000
        23    41.22870  -97.57620                                 2000000
        24    41.11360  -97.61155                                 1917000
        25    41.08450  -97.61210                                 1805000
        26    41.20810  -97.57255                                 1787000
        27    41.10880  -97.60360                                 1758000
        28    41.18070  -97.56190                                 1751000
        29    41.22765  -97.57990                                 1750000
        30    41.16690  -97.56245                                 1675000
        31    41.14675  -97.58875                                 1638000
        32    41.15370  -97.66545                                 1630000
        33    41.20595  -97.55300                                 1626000
        34    41.22985  -97.57135                                 1604000
        35    41.18645  -97.58710                                 1586000
        36    41.15685  -97.51125                                 1576000
        37    41.17010  -97.54665                                 1565000
        38    41.19230  -97.66280                                 1551000
        39    41.16370  -97.66495                                 1488000
        40    41.20130  -97.66705                                 1469000
        41    41.14110  -97.67280                                 1418000
        42    41.12410  -97.57720                                 1409000
        43    41.19230  -97.65170                                 1404000
        44    41.16010  -97.59675                                 1398000
        45    41.17645  -97.52130                                 1381000
        46    41.18225  -97.57470                                 1323000
        47    41.14270  -97.58510                                 1316000
        48    41.17175  -97.58510                                 1310000
        49    41.19325  -97.65800                                 1292000
        50    41.22135  -97.58085                                 1271000
        51    41.12780  -97.56190                                 1234000
        52    41.20130  -97.58780                                 1212000
        53    41.13360  -97.60565                                 1211000
        54    41.12410  -97.53345                                 1210000
        55    41.17750  -97.57135                                 1196000
        56    41.20700  -97.61950                                 1187000
        57    41.13630  -97.67330                                 1140000
        58    41.19015  -97.56145                                 1136000
        59    41.11770  -97.55710                                 1112000
        60    41.14045  -97.59835                                 1100000
        61    41.16370  -97.70770                                 1097000
        62    41.18490  -97.62735                                 1093000
        63    41.23185  -97.56510                                 1086000
        64    41.13630  -97.61155                                 1086000
        65    41.11360  -97.64545                                 1084000
        66    41.17540  -97.59470                                 1084000
        67    41.24675  -97.61100                                 1081000
        68    41.21400  -97.57515                                 1080000
        69    41.18490  -97.61795                                 1073000
        70    41.24925  -97.60835                                 1066000
        71    41.18170  -97.58350                                 1064000
        72    41.22135  -97.61210                                 1037000
        73    41.16905  -97.51340                                 1032000
        74    41.21925  -97.56510                                 1031000
        75    41.16115  -97.59310                                 1024000
        76    41.21070  -97.54410                                 1016000
        77    41.17125  -97.65215                                 1014000
        78    41.15320  -97.64905                                 1008000
        

        
        

        ---

    23. Directional Aviation Capital & Flexjet Have Been Flagged by The Pipeline

        
        Here is the point that is marked in Elon's criminal app:

         python3 -m spyhell \
            --scan_area \
            --latitude=41.563368864195304   \
            --longitude=-81.49434598805547 \
            --search_radius_feet=500 \
            --search_type=spy-assets \
            --run_name="test" \
            --expansive_search_max_results=100
        
         ____              _   _ _____ _     _     
        / ___| _ __  _   _| | | | ____| |   | |    
        \___ \| '_ \| | | | |_| |  _| | |   | |    
         ___) | |_) | |_| |  _  | |___| |___| |___ 
        |____/| .__/ \__, |_| |_|_____|_____|_____|
              |_|    |___/                         
        
          Wondering where this data came from? 
            ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
        
          Wondering about the scope of Elon Musk's criminal enterprise?
            ---> Please visit https://www.KeyOpinionLeaders.com/
        
        
        
        Using Backend: spy-assets
        
         ======= 
        
           latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
        0  41.56505  -81.49435                                      16
        
        
        

    24. 1456 Edgewood Dr, Palo Alto, CA 94301 And the Entire "Edgewood Dr" street Have Been Flagged By The Pipeline

        Location: 37.45382076906051, -122.13932186532806
        Is marked on Elon Musk's geo-index, the same geo-index they use to coordinate cargo ships and tankers to evade sanctions and to physically harm whistleblowers and federal witnesses.
        There are other 28 houses in that street marked in the geo-index, here is the list:
        https://docs.google.com/spreadsheets/d/1SxbqMo5sS-zO-GoHZOL7vMX-_maz9xacrRBnf50aUb4/edit?usp=sharing
        Also, the number of vehicles parked on that street and other near by streets, tripped the filters. This is the same signature move of the PayPal Mafia that we have seen in countless of places before, like Lake Pointe Estates, Katy, TX, "Via Giuseppe Revere, 1, 00152 Roma RM, Italy", etc.
        

        ---

    25. This event: The death of Suchir Balaji was flagged by the pipeline

        There are a lot of relevant locations related to this event and the aftermath, that are marked in Elon Musk's geo-index.
        

        ---

    26. Elon, Wilmer Ruperti: Sorry for the Disconnect Today, I Was Building A Bigger Gun Again

        This time, the gun I built has the form of full text search capabilities with entity recognition over the full journal of counterintelligence entries (over 1200 entries up to this point).
        I made this search available to everybody in two different ways: i) Via the SpyHELL command line tool, and ii) Via BigQuery. Notes:
        1. SpyHELL Command-line tool users: You would need to download the latest version of SpyHELL (v1.04);
        2. BigQuery Users: the name of the table is `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.PayPal-Mafia-Counterintelligence-Journal-Entries`.
        Here is an example of how to use it:

        $ python3 -m spyhell  --search="ruperti"
        
         ____              _   _ _____ _     _     
        / ___| _ __  _   _| | | | ____| |   | |    
        \___ \| '_ \| | | | |_| |  _| | |   | |    
         ___) | |_) | |_| |  _  | |___| |___| |___ 
        |____/| .__/ \__, |_| |_|_____|_____|_____|
              |_|    |___/                         
        
          Wondering where this data came from? 
            ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
        
          Wondering about the scope of Elon Musk's criminal enterprise?
            ---> Please visit https://www.KeyOpinionLeaders.com/
        
        
          Performing text search using Backend: Counterintelligence-Journal
        
          Printing Search results for query: "ruperti"
        
        
        
                Result #0
                The Bizarro Diplomats
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/000__The-Featured-Journal-Entries/00__The-Bizarro-Diplomats.pdf
            
                Entities mentioned:
        
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Bizarro-Diplomacy (https://en.wikipedia.org/wiki/Bizarro)
                   - Wilmer Ruperti (https://en.wikipedia.org/wiki/Wilmer_Ruperti)
                   - US (https://en.wikipedia.org/wiki/United_States)
                   - Houston (https://en.wikipedia.org/wiki/Houston)
                   - Maduro (https://en.wikipedia.org/wiki/Nicolás_Maduro)
                   - Panama (https://en.wikipedia.org/wiki/Panama)
                   - Italy (https://en.wikipedia.org/wiki/Italy)
                   - Germany (https://en.wikipedia.org/wiki/Germany)
                   - Miami (https://en.wikipedia.org/wiki/Miami)
                   - Cargo Ships (https://en.wikipedia.org/wiki/Cargo_ship)
        
            ============================
            
        
                Result #1
                The Times They Gave Marcelo And Reinaldo Bird Flu
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/02__Counterintelligence_topics/00__The-Times-They-Gave-Marcelo-and-Reinaldo-Bird-Flu.pdf
            
                Entities mentioned:
        
                   - Wilmer Ruperti (https://en.wikipedia.org/wiki/Wilmer_Ruperti)
                   - TX (https://en.wikipedia.org/wiki/Texas)
                   - Katy (https://en.wikipedia.org/wiki/Katy,_Texas)
                   - Google Contacts (https://en.wikipedia.org/wiki/Google_Contacts)
                   - Houston (https://en.wikipedia.org/wiki/Houston)
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
        
            ============================
            
        
                Result #2
                The Times Wilmer Ruperti Conspired With Elon Musk To Help Venezuela And Iran Evade Sactions
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/81__Wilmer-Ruperti/00__The-times-Wilmer-Ruperti-conspired-with-Elon-Musk-to-help-Venezuela-and-Iran-Evade-Sactions.pdf
            
                Entities mentioned:
        
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Caracas (https://en.wikipedia.org/wiki/Caracas)
                   - Wilmer Ruperti (https://en.wikipedia.org/wiki/Wilmer_Ruperti)
                   - U.S. (https://en.wikipedia.org/wiki/United_States)
                   - Diosdado Cabello (https://en.wikipedia.org/wiki/Diosdado_Cabello)
                   - Trump (https://en.wikipedia.org/wiki/Donald_Trump)
                   - Singapore (https://en.wikipedia.org/wiki/Singapore)
                   - Venezuelan (https://en.wikipedia.org/wiki/Venezuela)
                   - D.B.A. (https://en.wikipedia.org/wiki/Trade_name)
                   - Houston (https://en.wikipedia.org/wiki/Houston)
                   - Venezuelans (https://en.wikipedia.org/wiki/Venezuelans)
                   - FBI (https://en.wikipedia.org/wiki/Federal_Bureau_of_Investigation)
        
            ============================
            
        
                Result #3
                Wilmer Ruperti Paraembassador To The Us
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/81__Wilmer-Ruperti/00__Wilmer-Ruperti-Paraembassador-to-the-US.pdf
            
                Entities mentioned:
        
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Wilmer Ruperti (https://en.wikipedia.org/wiki/Wilmer_Ruperti)
                   - US (https://en.wikipedia.org/wiki/United_States)
                   - Houston (https://en.wikipedia.org/wiki/Houston)
                   - Maduro (https://en.wikipedia.org/wiki/Nicolás_Maduro)
                   - Panama (https://en.wikipedia.org/wiki/Panama)
                   - Italy (https://en.wikipedia.org/wiki/Italy)
                   - Germany (https://en.wikipedia.org/wiki/Germany)
                   - Miami (https://en.wikipedia.org/wiki/Miami)
                   - Cargo Ships (https://en.wikipedia.org/wiki/Cargo_ship)
        
            ============================
            
        
                Result #4
                Maybe Related To The Rincon Family
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/83__Roberto-Rincon/00__Maybe-related-to-the-Rincon-family.pdf
            
                Entities mentioned:
        
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Caracas (https://en.wikipedia.org/wiki/Caracas)
                   - Wilmer Ruperti (https://en.wikipedia.org/wiki/Wilmer_Ruperti)
                   - U.S. (https://en.wikipedia.org/wiki/United_States)
                   - Diosdado Cabello (https://en.wikipedia.org/wiki/Diosdado_Cabello)
                   - Trump (https://en.wikipedia.org/wiki/Donald_Trump)
                   - Singapore (https://en.wikipedia.org/wiki/Singapore)
                   - Venezuelan (https://en.wikipedia.org/wiki/Venezuela)
                   - D.B.A. (https://en.wikipedia.org/wiki/Trade_name)
                   - Houston (https://en.wikipedia.org/wiki/Houston)
                   - Venezuelans (https://en.wikipedia.org/wiki/Venezuelans)
                   - FBI (https://en.wikipedia.org/wiki/Federal_Bureau_of_Investigation)
        
            ============================
            
        
                Result #5
                Alejandro Andrade Cedeno Bizarro Counsul
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/82__Alejandro-Andrade-Cedeno/00__Alejandro-Andrade-Cedeno-Bizarro-Counsul.pdf
            
                Entities mentioned:
        
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Wilmer Ruperti (https://en.wikipedia.org/wiki/Wilmer_Ruperti)
                   - US (https://en.wikipedia.org/wiki/United_States)
                   - Houston (https://en.wikipedia.org/wiki/Houston)
                   - Maduro (https://en.wikipedia.org/wiki/Nicolás_Maduro)
                   - Panama (https://en.wikipedia.org/wiki/Panama)
                   - Italy (https://en.wikipedia.org/wiki/Italy)
                   - Germany (https://en.wikipedia.org/wiki/Germany)
                   - Miami (https://en.wikipedia.org/wiki/Miami)
                   - Cargo Ships (https://en.wikipedia.org/wiki/Cargo_ship)
        
            ============================
            
        
                Result #6
                Parties For Sargeant, Iii V. Maroil Trading Inc, 9 17 Cv 81070
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/53__Maroil-Trading/Parties for Sargeant, III v. Maroil Trading Inc, 9_17-cv-81070.pdf
            
                Entities mentioned:
        
                   - Miami (https://en.wikipedia.org/wiki/Miami)
                   - 23rd Floor (https://en.wikipedia.org/wiki/New_York_City)
                   - Beth Francine Bloom (https://en.wikipedia.org/wiki/Beth_Bloom)
                   - Florida (https://en.wikipedia.org/wiki/Florida)
                   - Harry Sargeant (https://en.wikipedia.org/wiki/Harry_Sargeant_III)
                   - West Palm Beach (https://en.wikipedia.org/wiki/West_Palm_Beach,_Florida)
                   - idb (https://en.wikipedia.org/wiki/Inter-American_Development_Bank)
                   - Tallahassee (https://en.wikipedia.org/wiki/Tallahassee,_Florida)
                   - Foley & Lardner (https://en.wikipedia.org/wiki/Foley_&_Lardner)
                   - NY (https://en.wikipedia.org/wiki/New_York_(state))
        
            ============================
            
        
                Result #7
                Alejandro Andrade Cedeno Was Flagged
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/82__Alejandro-Andrade-Cedeno/00__Alejandro-Andrade-Cedeno-Was-Flagged.pdf
            
                Entities mentioned:
        
                   - Alejandro Andrade (https://en.wikipedia.org/wiki/Alejandro_Andrade)
                   - Florida (https://en.wikipedia.org/wiki/Florida)
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Ruperti (https://en.wikipedia.org/wiki/Wilmer_Ruperti)
        
            ============================
        

        
        And just for fun, here is another example:

        $ python3 -m spyhell  --search="freedom fighter"
        
         ____              _   _ _____ _     _     
        / ___| _ __  _   _| | | | ____| |   | |    
        \___ \| '_ \| | | | |_| |  _| | |   | |    
         ___) | |_) | |_| |  _  | |___| |___| |___ 
        |____/| .__/ \__, |_| |_|_____|_____|_____|
              |_|    |___/                         
        
          Wondering where this data came from? 
            ---> Watch https://youtu.be/E8dQy2qdYXE?si=SHs0PWswQqf7iuGC&t=73
        
          Wondering about the scope of Elon Musk's criminal enterprise?
            ---> Please visit https://www.KeyOpinionLeaders.com/
        
        
          Performing text search using Backend: Counterintelligence-Journal
        
          Printing Search results for query: "freedom fighter"
        
        
        
                Result #0
                Using Spyhell To Understand Their Deployments On The Gaza Strip
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/02__Counterintelligence_topics/00__SpyHELL-Command-Line-Tool/01__Using-SpyHELL-to-understand-their-deployments-on-the-Gaza-Strip.pdf
            
                Entities mentioned:
        
                   - Gaza (https://en.wikipedia.org/wiki/Gaza_City)
                   - Elon (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Gaza Strip (https://en.wikipedia.org/wiki/Gaza_Strip)
        
            ============================
            
        
                Result #1
                The Time Elon Became A Freedom Fighter
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/80__Elon-Musk/00__The-Time-Elon-Became-a-Freedom-Fighter.pdf
            
                Entities mentioned:
        
                   - PayPal (https://en.wikipedia.org/wiki/PayPal)
                   - Elon Musk (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Peter Thiel (https://en.wikipedia.org/wiki/Peter_Thiel)
                   - PayPal Mafia (https://en.wikipedia.org/wiki/PayPal_Mafia)
                   - Thomas Henry Huxley (https://en.wikipedia.org/wiki/Thomas_Henry_Huxley)
                   - Hamas (https://en.wikipedia.org/wiki/Hamas)
                   - Pierre Omidyar (https://en.wikipedia.org/wiki/Pierre_Omidyar)
                   - Travis Kalanick (https://en.wikipedia.org/wiki/Travis_Kalanick)
                   - https://www (https://en.wikipedia.org/wiki/World_Wide_Web)
                   - Medical Torture (https://en.wikipedia.org/wiki/Medical_torture)
                   - Starlink (https://en.wikipedia.org/wiki/Starlink)
                   - Gaza strip (https://en.wikipedia.org/wiki/Gaza_Strip)
                   - Gaza (https://en.wikipedia.org/wiki/Gaza_City)
                   - Robert Gates (https://en.wikipedia.org/wiki/Robert_Gates)
                   - GPS (https://en.wikipedia.org/wiki/Global_Positioning_System)
        
            ============================
            
        
                Result #2
                The Time Elon Must Targeted The Gaza Strip
                    https://www.KeyOpinionLeaders.com/static/spies/RELEASE/notable-posts/03__Military_topics/00__The-time-Elon-Must-Targeted-The-Gaza-Strip.pdf
            
                Entities mentioned:
        
                   - Gaza (https://en.wikipedia.org/wiki/Gaza_City)
                   - Elon (https://en.wikipedia.org/wiki/Elon_Musk)
                   - Gaza Strip (https://en.wikipedia.org/wiki/Gaza_Strip)
        
            ============================
            
        
        
        

        
        

        ---

    27. How To Perform Entity Analysis On The Archive Articles With BigQuery

        
        I built a BigQUery Query that performs entity analysis on the two PDF files in the archive that have Maroil in the file name: one is the maritime publication and the second is a legal dispute in which Wilmer Ruperti was suing someone, I have it saved in the archive too.
        I am also sharing the Bigquery query I used, my goal is to pass the know-how to investigative agencies in case anyone is watching this website.
        The same technique can be used to analyze any subset of articles in the Archive by simply modifying the query.
        To show the power of this technique, here is the list of entities with affinity to Maroil in those two PDF files (I imagine there must be other members of the organization there):
        https://docs.google.com/spreadsheets/d/1bq6GspbDoNLdLDoR8UB2hjUdBfojpvs4L3_pGzQGy2w/edit?usp=sharing
        For example, one entity that was picked up a lot was this address: 125 Park Ave. 7th Floor New York, NY 10017.
        The pipeline thinks is a law firm. Given their focus on weaponizing the law and the courts, I will debug this one.
        And here is the bigquery query I used:

        WITH
          matching_journal_entries AS (
          SELECT
            *
          FROM
            `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.PayPal-Mafia-Counterintelligence-Journal-Entries`
          WHERE
            CONTAINS_SUBSTR(title, "maroil") )
        SELECT
          entity_name,
          SUM(num_occurrences) AS num_mentions
        FROM (
          SELECT
            entity_name,
            num_occurrences
          FROM
            matching_journal_entries
          INNER JOIN
            UNNEST(matching_journal_entries.all_entities) AS entity )
        GROUP BY
          1
        ORDER BY
          2 DESC;
        

        
        

        ---

    29. The Time Nelson Lara Told Me About the Open Sea Transfers

        The thing with Marcelo "getting" Bird Flu yesterday made me jog my memory and I remembered a conversation with Nelson Lara that took place maybe 4 years ago. Remembering that conversation helped me understand how Elon Musk's secret app fits into Wilmer Ruperti's world.
        At that time, Nelson was telling me that the Venezuelan Government wanted to buy Key Opinion Leaders, the entire dataset. He was inviting me to a meeting with Diosdado Cabello in Caracas. I never spoke with Diosdado Cabello, I never went to Caracas for any meetings, this was what Nelson Lara relayed to me when he was inviting me to go to Caracas.
        Knowing what I know today, I believe that if I had gone to that meeting I probably wouldn't be here writing this today.
        I, of course, was not going to sell the data to them, but in an attempt to get out of the sticky situation, I told Nelson: "Nelson, but Venezuela is subject to sanctions, wouldn't that be illegal?"
        Nelson Lara's response was: "Don't worry about that, they have mechanisms, infrastructure to get arround that".
        Nelson went further and gave me an example: "It is so much so, that they transfer oil products from one tanker to another at open sea and international waters, to get around the sanctions, and then the second ship places the products in markets without even raising suspicion that they came from or went to sanctioned countries".
        Of course, that's one of the reasons why the oil tankers use Elon Musk's App to navigate, to coordinate the tankers via this "secure channel" so one tanker can intercept the other at a place that has been picked/designed for this operation. And then Wilmer Ruperi transports the products from sanctioned countries to the US and other markets, or viceversa.
        Another data-point: According to Maritime Reporter: "... Maroil in Singapore, specializes in construction of military and oilfield support type vessels of steel and aluminum."
        So it seems like indeed Wilmer Ruperti has the capabilities needed for constructing these "support vessels" that would be needed to assist in a transfer operation like the one described by Nelson Lara.
        And, the other thing the pipeline picked up, was this gem: The United States is investigating a Venezuelan shipping magnate for possibly violating U.S. sanctions by bringing fuel to gasoline-short Venezuela, according to two senior Trump administration officials.
        So, yes, this all makes sense now.
        For US Authorities: Nelson Lara seems to know a lot about this operation of Wilmer Ruperti, seems to me like Nelson Lara is the person you may want to talk to.
        Risking to state the obvious: Elon Musk is a co-conspirator of Wilmer Ruperti on the evasion of US and OFAC sanctions because he provides the technology to make all that possible (the secret app). The "infrastructure" Nelson Lara was talking about, are Elon Musk's secret app and crypto infrastructure.
        Maybe related: I also remembered about Rodrigo Rincon rrincon@rvfenergy.com: (D.B.A. "Puzzles Corp" and "xcouty.com"), the one that was posing as a "client". The last name Rincon made me think that maybe he might be somehow related to Roberto Rincon.
        To be fair, Rincon is a fairly common last name in Venezuela, but the ownership of oil contracting companies in Houston and the obvious display of wealth, well, are not so common among Venezuelans. This was a different kind of "Rincon".

        Relationship Between This Observation and Agent Cory

        When I met FBI agent Cory at Campesino Coffee House, I mentioned to him the invitation I received via Nelson Lara to come to Caracas to give a demo to Diosdado Cabello. I am mentioning this in case he striped the mention from the transcript or the notes his note takers were taking.
        

        ---

    30. The Ships & Vessels Pipeline Has Been Turned On Thanks to Wilmer

        [02/08/2025 @ 22:01 CT] I turned on the pipeline again, it flagged this Tanker:
        CLIPPER SKY - Norway Flag - IMO: 9277943 - MMSI: 257309000
        It tripped the filters for navigating using Elon Musk's International Espionage App.
        Additionally, the pipeline picked up that this ship belongs to or is associated with Clipper Shipping AS, which has ben fined a couple of times by the authorities in Galveston (which seems like too many coincidences):
        https://www.justice.gov/usao-sdtx/pr/shipping-company-fined-15m-oil-record-book-offense
        https://www.justice.gov/enrd/case/united-states-v-clipper-shipping
        

        ---

    31. The Times They Gave Marcelo and Reinaldo Bird Flu

        [02/08/2025 @ 21:20 CT] I know this is one of those things that are hard to prove, but the timing of this, is just too convinient for Wilmer Ruperti. Just writing it here for the record.
        They gave me bird flu a couple of weeks ago. I didn't post anything about it because I have a "zero information for the enemy" policy, but it almost killed me, and I am not exagerating, I have no reason to.
        Tonight, Marcelo is exhibiting exactly the same symptoms.
        Note to law enforcement agencies in case anyone is watching this website: The only two places Marcelo has been in the care of others are: His daycare (British Private Prep School - Address: 25935 Cinco Terrace Dr, Katy, TX 77494), and the Villasport child care centre (9930 Gaston Rd, Katy, TX 77494), please note that VillaSport has been flagged for months and is marked in Elon Musk's geo-index with one of the highest Evil scores of all Houston.
        When they gave the bird flu to me, they introduced it in our home via the dogs: Gloria made the mistake of taking the dogs to the dog groomer. The dog groomer's name is "Lili" she lives in Brookshire. Her phone number is in Glorias contact list in Google Contacts.
        Note to Wilmer Ruperti: Remember, here the penalty for conspiring to kill someone is life in prison. We are not in Venezuela, think about it.
        

        ---

    32. The Atlantic and The Washington Post have been Flagged by the Pipeline

        Although predictable, this is sad. I mean, I understand the reasoning behind this, and they did the same in Venezuela, they took every single media outlet within the first 3 years, but I just hoped that proffesionalism among journalists in the US would be stronger than this. They do have a civic duty/responsibility with the rest of society.

    33. Vivek Ramaswamy Has Been Flagged For Months

        Risking to state the obvious, Vivek Ramaswamy has been, of course, flagged by the pipeline more than 100 times. The pipeline belives this is the future candidate that Elon has as a back-up plan in case he can't change the constitution to be able to "run" for president himself.
        

        ---

    34. 2% Is the Magic Number

        I understood something last night, seems like a more general principle of things discussed here before. The principle is:
        "By controlling 2% of a system, by means of coordination, it is possible to control the entire system by applying pressure at strategic places with that 2% of the system under your control."
        This is, I believe, the general underlying principle behind all their distributed attacks.
        Some notable examples:
        1. With 2% of the voters in US, you can win the elections;
        2. With 2% of all the money in circulation in the world, you can subude the entire world;
        3. With 2% of the employees of Google, Meta, etc, you can control those companies;
        4. With 2% of the clicks you can dominate the first 10 pages of Google Search Results for any query;
        There are many other examples of this general principle.
        

        But Wait, Didn't you say the Credit Card Payments Scheme was a 3% Racket?

        Yes, the fee is and has been for 20 years, 3%. They fix the price by controlling the monopolly. But from this 3%, they generally give 0.5% to 1% back to the population in the form of rewards programs, cashback programs etc, and they also need to pay Credit Card Issuers to keep the racket going.
        Ever wondered why your bank is so generous that gives you so many points for using your credit card? Well, this is the reason, those incentive programs help keep the racket going. They don't want people to even think about paying cash / not using credit cards, because debit card payments do not generate the "3% processing fee" that feeds the criminal enterprise.
        

        Why is It Important To Be Aware of the 2% Rule?

        Because we should expect to see "Layoffs and Resignations" in the order of 4% per affected company: This is 2% to extract the agents, and say, another 2% to mix the agents with real resignations and layoffs to attempt to hide the extraction protocols.
        All this is futile, I believe, because the index and the markers are public now and it's easy enough to check for membership.
        I imagine this probably was the most costly mistake in the history of computer science. Way to go team!
        

        ---

    35. The Time Elon Musk Invented Bizarro-Diplomacy

        [02/07/2025 @ 14h35 CT] Now that I noticed this and verified with SpyHELL, it seems so obvious now. Every government needs ambassadors, even shadow governments. After all, it's one of the oldest professions that exist.
        I've been doing some debugging using SpyHELL and I think I came across this new term, it might be one of Elon Inventions (or whoever is running the ring): the "Bizarro-Diplomacy".
        In a similar way as their paramilitary group is a group that uses military personnel, tactics and equipment to carry out military-type operations that are not approved by a government, a paradiplomacy (or Bizarro-diplomacy) group performs functions similar to those of a diplomatic delegation, but for their shadow government or "Dark State".
        According to the data recorded in Elon Musk's geo-index:
        Wilmer Ruperti, is the Bizarro-ambassador of Maduro to the US, that's why he pays for the defense of different people, just as embassies sometimes do. Maroil Trading Inc. properties in the US and in Panama are marked in Elon Musk's geo-index with paramilitary scores.
        Rafael Ramirez, is the Bizarro-ambassador to Italy.
        Edylberto Molina Molina, Bizarro-ambassador to Germany.
        Roberto Rincon, Bizarro-counsul to Houston.
        Alejandro Andrade Cedeno, Bizarro-counsul to Miami.
        Hugo Carvajal, Bizarro-counsul to Madrid.
        Side notes:
        1. After I posted Ruperti and the lawyers this morning, the number of flights hovering above my home increased again. This tells me they see risk on that observation. The number of planes hovering above my house can be used a thermometer to take the temperature of the psychological state of the ring's leaders.
        2. On the early days after I captured the geo-index, around September 2024: The pipeline detected and flagged a series of Cargo Ships and Oil Tankers that were navigating via the points marked in Elon Musk's geo-index. I do not have the ownership data to feed it to the pipeline, but it is very possible that at least some of those ships belonged at the time to companies related to Maroil Trading Inc.
           All the ships are posted in The Archive under the folder: "13__Aircraft-Yachts-and-Vessels" which at the moment contains over 50 aircraft and vessel that were flagged in September/October 2024.
        3. Risking to state the obvious: This is exactly the text-book definition of "Acting as an Unregistered Agent of a Foreign Government", at the highest possible level: They don't just act like an agent, they act as an entire embassy.
        
        

        ---

    36. Alejandro Andrade Cedeno Was Flagged

        The properties in Florida that were tied to Alejandro Andrade during the 2018 case, are marked in Elon Musk's geo-index. Looking at the data in Elon Musk's geo-index, Ruperti seems still higher rank than Andrade, although not an entirely fair comparison because Andrade had to take a leave of absence sort to speak.
        

        ---

    37. A Real Patriot

        This FBI employee, looks at his/her email, sees an email describing a major national security threat, and their response is: Reply back saying "we can't process complaints via this email". And then not even sign the email.
        
        Please note the email is not signed by any person, same thing as when the Post Oak Property Managemenent, or the Cinco Ranch II HOA send us harassment letters.
        This is so frequent that we even have a meme for this at this point:
        
        

        ---

    38. A Mega-Cluster Of Paramilitary Positions Was Detected in Brazil

        
        These are all the points within a 12 mile radius of the center of the dected mega-cluster (89,000+ paramilitary clusters inside):
        Sao-Paulo-BR-100-miles-Paramilitary-positions.txt
        The #1 paramilitary location here has a score of 4,258,000! And it shows the work of Russel Simmons, the CTO of crime, at its best. This location also made it to the top #10 Robert Gates' vacation spot:
        
        

        ---

    39. Wilmer Ruperti

        A law firm that provided defense for the two nephews of Maduro on drug charges, is marked in Elon Musk's geo-index (the firm, the firm's top executives).
        Properties tied to Wilmer Ruperti, are also marked in Elon Musk's index.
        

        ---

    40. Paramilitary Town East of Los Angeles

        The pipeline picked up an important concentration of paramilitary positions east of Los Angeles. It is a tiny town, flanked by a mountain range. The entire town seems protected with the Immune Entities Pattern. The concentration of vehicles seen in satellite imagery seems abnormal in relation to the number of buildings in this small town and to the population numbers published on the last US census data.
        These are some of the top positions that could lead to tracing paramilitary agents (these positions come from the Paramilitary encoder):

        330 E Amado Rd, Palm Springs, CA 92262     (paramilitary score=260000)
        1008 St Bimini Cir, Palm Springs, CA 92264 (paramilitary score=160000)
        Historic Tennis Club  Palm Springs, CA     (paramilitary score=137000)
        227 Ocotillo Ave, Palm Springs, CA 92264   (paramilitary score=109000) 
        

        All other 540 positions found in this small town, are recorded here: Palm-Springs-CA-6-miles-Paramilitary-positions.txt
        

        ---

    41. The Time Elon Musk Became a Catholic Crusader

        If there was ever a doubt about the theory put forward before that they park cars on the streets because those cars scan the air looking for Wifi/Bluetooth mac addresses of the vehicles that pass by and scan the license plates / RFID tags, look at this paramilitary position marked in Elon Musks's index with a score of 2,059,000 (topbrass paramilitary range):
        This is Via Giuseppe Revere, 1, 00152 Roma RM, Italy (the topdog in Rome within the Paramilitary positions).
        Side note: This is the reason why agent Phillip E Denning "forbid" me to park my truck on the street (they were afraid I would do the same to them, the Immune Entities pattern applied to this).
        And, that is also the reason why all the spy houses at Lake Pointe Estates always have cars parked on the steet or very close to the street (despite Phillip E Dening's "prohibition"). All this is recorded on agent's Phill Denning emails.
        At this point they have the cars parked on the street because they want to know if the FBI comes to my house, and if that happens, they want to know the minute it happens. So it is the Venezuelan Intelligence (Nicolas Maduro), spying on the FBI, on American soil, go figure. They really have no limits.
        
        All the positions can be downloaded here: Rome-12-miles-Paramilitary-positions.txt
        

        ---

    42. Why I Started Publishing Their Names on This Site Months Ago?

        Because I watched the documentary about The Stanford Prison Experiment on Netflix.
        
        I understood that the engine that powers the sadistic behavior, is the lack of personal accountability because they are acting as a group, and they believe the criminal outcome can not be tied to them personally, so they see no risk.
        But the moment they see their name on the home page, the dynamic changes, now they are personally accountable, and they see risk of losing everything they have "worked" for. I use quotes, because they didn't work for any of that, they stole it, and hurt many good people in the process, and deprived the world from many advances as well.
        So that is what I found to be the only effective vaccine against this type of distributed attacks in which the individual accountability gets diluted by "the group": To return the personal accountability to the individual by whatever means necessary. Then, they immidiately cease and desist, except if "they" are Peter Thiel, Travis Kalanick, Edylberto Molina Molina or David F. Hine, but I believe that has more to do with their narcisitic / sociopathic traits.

        A Text-book Example of This

        
        A text-book example of this observation is the "Presidents list" at the top of this page. The minute I published their names (which I had identified the day after I captured the geo-index: 09/12/2024 but only published their names on 02/04/2025): The number of aircraft flying and/or hovering at low altitude above my home dropped from over 100 unique flights per day, to 3 flights per day in average. I think that is very telling.
        

        The Unanswered Question: Is The PayPal Mafia the Root Cause or a Creation?

        This I haven't been able to figure out yet: Were Elon Musk & Co. the creators of all this and then they positioned the presidents? Or, are the presidents the creators of all this and they positioned Elon Musk & Co.?
        Some things hint at that the presidents precede the Paypal Mafia, but some other things hint at the PayPal Mafia actually calling the shots.
        I think this is a question that only historians will be able to answer over time.
        

        ---

    43. The Clusters of Siblings

        Not sure if this could be a pattern or a natural consequence of the nature of the ring, but there seem to be clusters of siblings where all the siblings participate in the ring, examples:
        1. Troconis Siblings
        2. Gutierrez siblings
        3. Anzola siblings
        4. Finol siblings
        5. Sanchez siblings
        6. Troconis siblings
        7. Key siblings
        8. Fanti siblings
        9. Rojas siblings
        There are others.
        

        ---

    44. Introducing the Resignation Pipeline

        As usual, when I notice they are doing something systematic: I create a pipeline to systematize detection. So I created the "Resignation Pipeline". It detects mentions on the web of people resigning to public offices these days (to avoid detection).
        The pipeline picked up and flagged: Ted Carstensen resigning to a mid-level post at the USDS. It's the Roberto-Konow Algorithm.
        

        ---

    45. The Chinese Spy Baloons Checkpoints

              
        Using Backend: paramilitary-assets
         =======
              latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
        0     68.83465     -163.0                                   44000
        1     65.56850     -161.0                                   40000
        2     65.80605     -163.0                                   40000
        3     67.05270     -163.0                                   40000
        4     63.44905     -165.0                                   40000
        5     60.68450     -165.0                                   40000
        6     64.16930     -163.0                                   40000
        7     66.64080     -163.0                                   40000
        8     66.78285     -165.0                                   40000
        9     59.44200     -165.0                                   36000
        10    65.51030     -166.0                                   36000
        11    65.01190     -170.0                                   36000
        12    67.04160     -163.0                                   36000
        13    63.48495     -162.0                                   36000
        14    63.35140     -169.0                                   36000
        15    64.82390     -160.0                                   36000
        16    64.63440     -167.0                                   36000
        17    68.41220     -165.0                                   36000
        18    68.25440     -165.0                                   36000
        19    66.45865     -162.0                                   36000
        20    62.48020     -163.0                                   32000
        21    62.13645     -165.0                                   32000
        22    62.68025     -170.0                                   32000
        23    65.52615     -163.0                                   32000
        24    65.08800     -165.0                                   32000
        25    65.19720     -166.0                                   32000
        26    67.15765     -166.0                                   32000
        27    63.53410     -167.0                                   32000
        28    60.07250     -165.0                                   32000
        29    64.73950     -168.0                                   32000
        30    64.21150     -170.0                                   32000
        31    66.25850     -161.0                                   32000
        32    66.85150     -165.0                                   32000
        33    66.54935     -166.0                                   32000
        34    66.06735     -166.0                                   32000
        35    66.04205     -166.0                                   32000
        36    59.70815     -166.0                                   28000
        37    62.32535     -168.0                                   28000
        38    61.95590     -168.0                                   28000
        39    65.36465     -160.0                                   28000
        40    65.46075     -168.0                                   28000
        41    65.70515     -168.0                                   28000
        42    67.88955     -165.0                                   28000
        43    63.09205     -166.0                                   28000
        44    60.47115     -163.0                                   28000
        45    60.93835     -164.0                                   28000
        46    64.18025     -161.0                                   28000
        47    68.79285     -164.0                                   28000
        48    68.95085     -164.0                                   28000
        49    70.52480     -165.0                                   28000
        50    69.06955     -164.0                                   28000
        51    69.57960     -164.0                                   28000
        52    69.74020     -165.0                                   28000
        53    66.67195     -161.0                                   28000
        54    66.28495     -161.0                                   28000
        55    66.26855     -162.0                                   28000
        56    66.39165     -162.0                                   28000
        57    66.14710     -166.0                                   28000
        58    62.59000     -170.0                                   24000
        59    61.80430     -165.0                                   24000
        60    61.79530     -167.0                                   24000
        61    65.01880     -162.0                                   24000
        62    65.45810     -164.0                                   24000
        63    65.47930     -168.0                                   24000
        64    65.48910     -169.0                                   24000
        65    63.77160     -166.0                                   24000
        66    63.52025     -170.0                                   24000
        67    64.05370     -168.0                                   24000
        68    62.09740     -168.0                                   20000
        69    63.62270     -166.0                                   20000
        70    61.45045     -166.0                                   16000
        71    66.99935     -169.0                                   16000
        

        
        

        ---

    46. "The Fork on the Road Ahead"

        RE: The supposed "Fork" that Elon is applying to federal employees: I saw the same thing at Twitter after Elon Musk "purchased it", it's a Play.
        [02/07/2025] What happened at Twitter is that all the people that are now flagged by SpyHELL (examples: James Gao, Roberto Konow, Ajeet, etc), back then "quit" Twitter.
        It is a way to make it difficult for law enforcement to trace-back the agents because they are all quitting en-masse and mixed with other people quitting that are not agents.
        For instance, eBay's secret agent Roberto Knonow quit when he was presented with "the Fork on the road ahead". I had a meeting with him just before he left, and I tried to get him to stay (he is really a bright engineer, one of the best I have worked with, probably top 5), and he says to me (translation mine) "I can't stay, I am Chilean, it's in my blood, I am a revolutionary, I can't stand by injustice or oppression".
        Then he went back to eBay after six months being out, and re-joined as a Director of Engineering (having left 6 months prior as a Junior manager).
        For readers that might not be familiar with the engineering levels at tech companies: That carreer progression, usually takes a very driven individual, around 6 years of hard work. Roberto did it in 6 months, doing nothing but spying for eBay.
        The sense of irony of these people.
        The antidote for "the Fork on the Road" is awareness, for example, by using the Open Datasets offered in this page, or the SpyHELL command line tool to check wether the person resigning to the job, or their real estate properties, are marked in the Geo-Index.
        

        ---

    47. Russell Vought Was Flagged By The Pipeline

        
        

        ---

    48. The Time Elon Musk Deployed 430,000 Paramilitary Positions within 100 miles of Hisham Barakat Square, Cairo, Egypt

        This is the square where there was a masacre of civilians in 2013. Elon musk has almost as many paramilitary positions recorded in this area, as he has in or around the Gaza strip.
        All the positions can be downloaded here: Cairo-100-miles-Paramilitary-positions.txt
        For convenience, posting the top-80 paramilitary positions here:

         python3 -m spyhell \
            --scan_area \
            --latitude=30.06671320658361 \
            --longitude=31.325435296760656 \
            --search_radius_feet=528000 \
            --search_type=paramilitary-assets \
            --run_name="Cairo-100-miles-Paramilitary-positions" \
            --expansive_search_max_results=100000
        
        Using Backend: paramilitary-assets
        
        ======= 
        
                 latitude  longitude  Musk-Kalanick-Omidyar-Thiel-Evil-score
        0       29.225050  31.995000                                 7656000
        1       29.660700  30.820200                                 7310000
        2       29.356100  31.847600                                 5931000
        3       29.973850  30.190350                                 5822000
        4       30.985000  31.375600                                 5316000
        5       29.366750  30.678100                                 5186000
        6       30.360200  30.084750                                 4861000
        7       30.820850  30.498500                                 4513000
        8       29.707200  31.266900                                 4343000
        9       29.935900  30.849800                                 4061000
        10      30.532000  30.718300                                 4035000
        11      29.021900  31.659050                                 3964000
        12      30.372000  31.078350                                 3957000
        13      29.225050  30.742450                                 3942000
        14      30.880500  30.776850                                 3924000
        15      30.990300  30.716600                                 3886000
        16      29.039800  31.510200                                 3864000
        17      29.008100  31.033600                                 3780000
        18      30.216750  31.072500                                 3778000
        19      29.905750  31.191850                                 3777000
        20      29.935900  31.851250                                 3775000
        21      30.217300  32.822850                                 3770000
        22      29.734600  32.108450                                 3751000
        23      30.055100  32.013900                                 3721000
        24      29.905750  31.493250                                 3701000
        25      30.547750  31.637050                                 3686000
        26      29.931450  31.995500                                 3631000
        27      28.763200  31.464400                                 3617000
        28      30.687150  30.686000                                 3572000
        29      29.342300  32.132200                                 3545000
        30      31.375200  31.291600                                 3540000
        31      28.892450  31.506600                                 3537000
        32      31.397850  30.990750                                 3527000
        33      29.293300  31.267850                                 3527000
        34      29.447450  30.772550                                 3521000
        35      30.794850  31.544200                                 3501000
        36      29.478050  31.111200                                 3501000
        37      29.643800  30.439500                                 3456000
        38      29.871400  31.820700                                 3456000
        39      30.182450  29.927800                                 3401000
        40      30.689300  30.991700                                 3392000
        41      31.176150  31.474850                                 3300000
        42      29.366750  31.242500                                 3269000
        43      31.250050  31.452700                                 3267000
        44      30.228300  31.772050                                 3263000
        45      29.651850  30.820200                                 3255000
        46      30.147650  29.888750                                 3252000
        47      30.348700  30.350150                                 3251000
        48      30.098500  29.721450                                 3248000
        49      30.694200  30.329650                                 3232000
        50      30.266400  30.466500                                 3207000
        51      30.692400  31.868850                                 3185000
        52      30.170250  32.544100                                 3184000
        53      31.533500  31.488200                                 3182000
        54      29.716700  31.470100                                 3181000
        55      30.762700  30.382350                                 3170000
        56      29.571000  32.321250                                 3170000
        57      29.925350  30.497650                                 3169000
        58      29.930700  32.855050                                 3163000
        59      29.058300  31.436800                                 3153000
        60      30.686600  31.802150                                 3152000
        61      30.221000  31.992350                                 3147000
        62      30.171800  30.645850                                 3134000
        63      30.686600  31.821100                                 3122000
        64      29.377700  30.493200                                 3118000
        65      29.925350  31.813750                                 3096000
        66      30.291700  30.802650                                 3085000
        67      30.722000  30.332800                                 3058000
        68      30.739450  30.490150                                 3048000
        69      30.776900  30.689700                                 3041000
        70      29.855650  32.132850                                 3035000
        71      30.127450  31.390800                                 3022000
        72      30.566300  30.688150                                 3008000
        73      30.109500  29.937350                                 3001000
        74      29.288000  31.585850                                 2998000
        75      29.791650  30.190350                                 2997000
        76      29.936850  30.249350                                 2994000
        77      29.680300  32.378200                                 2989000
        78      29.316000  30.670200                                 2988000
        79      30.722000  31.036000                                 2985000
        80      29.039800  31.321250                                 2982000
              
        

        
        

        ---

    49. The Time Elon Landed 20,000 Trojan Horses

        The pipeline picked up this gem.
        The gist of it is that a few years back, Elon sent 20,000 Starlink terminals to "help Ukraine" after the war on Ukraine broke out.
        Imagine that. Quite ironic. The cherry on top: After a few months of "free service", Elon declared that he could not longer pay for the service and asked the Pentagon to pick up the tap. They really have no limits.
        God bless the Geo-Index! It cures blindness.
        

        ---

    50. The Most Evil Areas in The United States

        Here is the full list: MUSK-Qbits__USA-Centroid-1600-miles-radius-Paramilitary.txt
        Here are the top-25:

         python3 -m spyhell \
             --qbits \
             --latitude=37.07515140263463 \
             --longitude=-94.3416568232183 \
             --search_radius_feet=8448000 \
             --search_type=paramilitary-assets \
             --run_name="MUSK-Qbits__USA-Centroid-1600-miles-radius-Paramilitary" \
        
        Using Backend: paramilitary-assets
        
         ======= 
        
             Musk_Qbit  sum_musk_evil_score
        0     36, -122        2388835913000
        1      32, -80        1437472832000
        2     36, -123         647477034000
        3     37, -122         238553911000
        4      40, -73         226519439000
        5      32, -94          76215941000
        6      29, -94          71210564000
        7     37, -123          65125440000
        8      30, -94          63566496000
        9      31, -94          63536375000
        10     52, -97          62537885000
        11     23, -82          60001630000
        12     23, -83          59819959000
        13     32, -95          57471411000
        14     29, -95          53951410000
        15     32, -93          53788229000
        16     23, -81          52181514000
        17     30, -95          47704163000
        18     31, -95          47133601000
        19     23, -84          47020152000
        20     28, -83          46226736000
        21     28, -82          46091711000
        22     29, -93          45352472000
        23     28, -94          45009872000
        24     30, -93          44655227000
        25     31, -93          44641502000
        

        
        

        ---

    51. SpyHELL Command-line tool: Added support for Musk-Qbits

        
        To trigger the Musk-Qbits mode, please add the flag --qbits.
        Side-note: I updated the downloadable tool and bumped the version to v1.03.
        I also tested the feature with the Gaza strip. These are the Musk-Qbits ranked that are within 200 miles from Amman:
        Additional note: I think here they made the same design mistake as they did on the coast of California near San Jose, the concentration of points is too high among the top 5 Musk-Qbits and some of them are next to each other, makes it so they in aggregate, become a single point of failure for the Mesh network. It's a weakness.

        # Ranked Musk-Qbits near the Gaza Strip
        python3 -m spyhell \
            --qbits \
            --latitude=31.950791962843386 \
            --longitude=35.91904587730741 \
            --search_radius_feet=1056000 \
            --search_type=paramilitary-assets \
            --run_name="MUSK-Qbits__Amman-200miles-radius-Paramilitary" \
            --expansive_search_max_results=1000
        
        Using Backend: paramilitary-assets
        
        ======= 
        
           Musk_Qbit  sum_musk_evil_score
        0     33, 36          32634037000
        1     32, 36          24177561000
        2     32, 37          23394834000
        3     34, 36          20540467000
        4     33, 37          19811294000
        5     32, 34          15736938000
        6     31, 34          15315285000
        7     32, 38          11681365000
        8     30, 34          11410204000
        9     33, 34          11189324000
        10    32, 35          10186532000
        11    33, 35          10181590000
        12    34, 35           9231377000
        13    31, 35           8399186000
        14    31, 37           8160523000
        15    31, 36           8152539000
        16    30, 35           7462205000
        17    30, 36           7044208000
        18    29, 35           6602086000
        19    31, 33           6502656000
        20    32, 33           5841074000
        21    31, 38           5840794000
        22    30, 37           5565332000
        23    29, 36           5404195000
        24    29, 34           1137124000
        25    34, 34            726041000
        26    28, 35            720395000
        27    31, 32            663006000
        28    35, 35            559222000
        29    30, 33            440487000
        30    33, 33            322272000
        31    32, 32            313307000
        32    34, 37            278658000
        33    28, 36            275808000
        34    33, 38            272468000
        35    35, 36            245794000
        36    31, 39            243250000
        37    29, 37            230283000
        38    30, 38            195912000
        39    32, 39            109018000      
        

        
        

        ---

    52. RE: The Gaza Strip

        I did some reading and it became obvious to me that his is a very charged subject, it would probably take me years of study to more or less grasp the complexities involved here.
        That said, one thing that did become crystal clear to me was: This is a very unfair fight. It is as if one team (Elon's team) had access to broadband Internet with unbreakable encryption, and the other team (the rest of the world) is communicating using rotary telephones.
        If there is anything I can do to help level the playing field, I feel like I should do it, so I am posting here all the Paramilitary and Spy locations of the PayPal mafia in that zone: placing the center of SpyHELL on Amman, Jordan and including everything within a 100 miles radius. Put in SpyHell Command Line tool terms, this would be equivalent to:

        # Example #3:  Amman-100-miles Paramilitary
        python3 -m spyhell \
            --scan_area \
            --latitude=31.950791962843386 \
            --longitude=35.91904587730741 \
            --search_radius_feet=528000 \
            --search_type=paramilitary-assets \
            --run_name="Amman-100miles-radius-Paramilitary" \
            --expansive_search_max_results=100000
        
         # Amman-100-miles Spy Assets
         python3 -m spyhell \
            --scan_area \
            --latitude=31.950791962843386 \
            --longitude=35.91904587730741 \
            --search_radius_feet=528000 \
            --search_type=spy-assets \
            --run_name="Amman-100miles-radius-Spy-Assets" \
            --expansive_search_max_results=100000      
        

        
        The resulting files are posted here:
        Amman-100miles-radius-Paramilitary.txt
        Amman-100miles-radius-Spy-Assets.txt
        I looked at the top Topdog on the Paramilitary file, out of curiosity, and it is a protected area with the "Immune Entities Pattern", but it has these objects arranged in a grid, it's hard to tell what they are, but they surely look like something interesting:
        
        

        ---

    53. Michael J. Muldoon and Kash Patel Were Flagged by The Pipeline

        Too many datapoints to list, Michael J Muldon seems to even have equity in Elon's enterprise:
        https://docs.google.com/spreadsheets/d/1msY63E378a9SdxdGu4l9p2ZXFeI9bsFmJMGaxoc4SUE/edit?usp=sharing
        Not founder's level, but that list of properties marked in Elon Musk's geo-index is an statistical anomaly on itself.
        The pipeline flagged that there are a lot of news articles mentioning Kash Patel, Michael J. Muldoon and Elections in the same article.
        The pipeline co-clustered Kash Patel and Michael J. Muldoon together and co-clustered them with the Attorney General of Texas Ken Paxton.
        

        ---

    54. Netflix: Turning Point: The Bomb And The Cold War

        This is an anecdotical observation without scientific rigor, I haven't really measured any metrics on this yet, but I did notice this: On this Netflix documentary about nuclear weapons and the Cold War, I saw Robert Gates talking about Putin, but then I also saw a few scholars that have prominent name markers on their names, for example there is a lady named Audra J. Wolfe, Anne Applebaum, Alex Wellesrstein, Weber, etc.
        Could be a coincidence but the fact that my mentor Robert Gates is there at the top of the cast credits, well.
        The documentary appears neutral, although in certain segments, although subtle, it does seem like it might be pushing an agenda a little bit.
        For reference, I saved the full cast here.
        

        ---

    55. The Time I Turned East

        [02/06/2025] The thing yesterday about Elon becoming a "freedom fighter" left me thinking and I invested a couple of hours debugging this, it became obvious to me that Gaza is not just one more crime scene, it is a fundamental piece in all this.
        The reasons why they tartget Gaza in such profound way, are beyond my current understanding of the world. I clearly need some schooling on this, but for good measure, I am banning all "secret" communications over the Gaza Strip. Here are all the Paramilitary positions ranked:
        The-Gaza-Strip-Paramilitary.txt
        I also updated the Command-line tool to perform this kind of operations, in fact I did this one with the tool (the new flag is called --scan_area available on version 1.01 just released), this is the command I used:
        To get the paramilitary assets ranked:
        

        $ python3 -m spyhell \
            --scan_area  \
            --latitude=31.43958306449082 \
            --longitude=34.38455705720121 \
            --search_radius_feet=26400 \
            --search_type=paramilitary-assets \
            --run_name="The-Gaza-Strip-Paramilitary" \
            --expansive_search_max_results=10000
        

        
        Note: To get a list of all the flags/features available, issue this command: $ python3 -m spyhell --help . To switch to using the Espionage backend use: --search_type=spy-assets .
        In other words, to get the spy assets ranked:
        

        $ python3 -m spyhell \
            --scan_area  \
            --latitude=31.43958306449082 \
            --longitude=34.38455705720121 \
            --search_radius_feet=26400 \
            --search_type=spy-assets \
            --run_name="The-Gaza-Strip-Spy-Assets" \
            --expansive_search_max_results=10000
        

        
        When one runs the command, the output gets saved to a text file in the relative directory "./runs/", with the file name specified in the flag --run_name.
        For good measure I am posting here as well the Spy Assets positions in or near the Gaza Strip:
        The-Gaza-Strip-Spy-Assets.txt
        

        ---

    56. Mike Waltz R-FLA and Morgan Stanley Were Flagged By The Pipeline

        
        Morgan Stanley:
        I need to debug this in detail, but from what I can see it seems related to news reports that detail that Morgan Stanley offloaded yesterday 2/5/2024 "5.5 Billion on Elon Musks loans tied to Twitter". The pipeline tagged Morgan Stanley with "Insider Trading".
        Mike Waltz:
        Properties related to Mike Waltz are marked in Elon Musk's geo-index.
        

        ---

    57. I call Upon Law Enforcement and Intelligence Agencies to Investigate My Claims

        So far I have tried contacting the DEA, The General Attorney of Texas, The IRS, The SEC and the FCC.
        I will try the FBI next.
        

        ---

    58. Major Breaktrough

        I wrote a command-line tool that would allow a 1st grader to locate Elon Musk spies, it's super easy to use, this is a screenshot:
        
        Using this tool, I am able to demonstrate that the Tesla Giga Factory in Austin, on the paramilitary side of things, talks to this point in Iran doing only one channel cross-over: 35.58061, 51.34189.
        
        As one can see, this area is again, excellently protected with the "Immune Entities Pattern", on all 4 sides, this means it is a major routing point within the mesh network (it routes traffic from all four sides).
        If one zooms-in, it does appear like the ground has been covered with concrete:
        
        I am releasing the source code of this command line tool so anybody can run it, it requires Python3 and access to a Google Cloud account, it could be a free account, go to console.cloud.google.com to initialize your account with your Gmail account. Then please follow the instructions on the README file contained within the zip file.
        Download the source code for the SpyHELL command-line tool
        Side note: I wrote this tool to show kids that writing software can be used for either good or bad, if they chose to do good with it, they can even help catch spies by writing python!
        

        ---

    59. Unexpected Gift for Ukraine

        Remember the religious structure on the Gaza Strip that made us suspect Elon had turned "freedom fighter"? as it turns out, the Topdog on that channel is a mysterious point in Ukraine. The stellite imagery looks like has been manipulated, it belongs to "TerraMetrics". This is the exact point: 50.53575, 34.4348 it has a paramilitary score of 11,758,000, the highest on that channel.
        I lack instruction to answer this question, but made me wonder: What do the Gaza Strip and the Ukraine have in common?
        

        ---

    60. Hey Elon, I Found This Old Piece of Admiralty Law

        [02/04/2025] Since I believe this entire organization of yours, is nothing more but an organized group of pirates brought forward in time to 2001, I started researching piracy laws to see how our ancestors dealt with people like you. I found this gem written in 1603 by James I of England:

        "We are not ignorant that our late dear Sister, the late Queen of England, had of 
        long time wars with the king of Spain, and during that time gave Licences and 
        Commissions to divers of her, and our now Subjects, to let out and furnish to 
        sea divers ships warlikely appointed, for the surprising and taking of the said
        King’s subjects’ goods, and for the enjoying of the same, being taken and brought 
        home as lawful Prize.
        
        We further will and command, that our men of war, as be now at sea having no
        sufficient commission as aforesaid, and have taken, or shall go to sea hereafter,
        and shall take any the ships or goods of any subject of any Prince in league or 
        amity with us, shall be reputed and taken as pirates and both they and all 
        their accessories, maintainers, comforters, and partakers shall suffer death as 
        pirates and accessories to piracy, with confiscation of all their lands 
        and goods, according to the ancient Laws of this Realm."
        

        
        I do not wish death upon anyone, in fact, I ask you to please face this like a man and don't try to commit suicide when you see that everything is lost, which I belive happened the day you published that geo-index on the Internet.
        That said, I do sincerely hope they confiscate all those crypto assets you have hidden and all the assets you obtained by commiting crimes, and they put them to use for good causes. You know, to revert all you have done over the past 20 years.
        

        ---

    61. The Acquisition of Boston Dynamics by Softbank (previously flagged), Was Flagged

        Google acquired Boston Dynamics in 2013, but sold it to SoftBank in 2017 (after Sundar Pichai became CEO). I believe this is another example of the predatory nature of the PayPal Mafia.
        Softbank has been promoted to the main header because of this observation.
        

        ---

    62. The Time Elon Musk Became a "Freedom fighter" for Hamas

        I don't know if readers would recall when I mentioned that the "Immune Entities Pattern" is something that implies a repetition of geo-features that is detectable through the use of techonology.
        Well, I took a stab at it and created what I would call a rudimentary implementation of this idea. I ran it over well-known conflict zones, it picked up a heavily populated area of the Gaza strip, that inexplicably has big batches of land and trees and what seems to be agricultural land, right in the middle of this dense and heavily populated area.
        I am mentioning this because if this turned out to be the case, that Elon Musk has his hands in Gaza, well, I think that would be a whole different ball game.
        There is a Religious structure in the middle of 4 patches of agricultural land (Robert Gates' style), and at that structure there are points marked in Elon Musk's geo-index with his Paramilitary encoder, they have scores of up to 451,000 points. I recorded the positions and the query here: https://docs.google.com/spreadsheets/d/1yJ-R-mA5WDs0xp83S3LzMYh_aCJgPEh0D2yYas3dRCk/edit?usp=sharing
        
        

        ---

    63. They Have Someone Heavy At The Internal Revenue Service (IRS)

        I say this because I have made more than one filing with the IRS under their Whistleblower program, and the minute I mentioned "Elon Musk" I got a "rejection letter" from the IRS whistleblower program.
        The other reason I say this is because the obvious focus of David F. Hine to fabricate a problem for me with the IRS. Putting two and two together, they probaby have somebody very high up in the IRS.
        Separately, I made another submision about another (different) subset of entities, with the SEC Whistleblower program. That one, I got acknowledgment but nothing further after that. Maybe I should test by filing a SEC complaint against Tesla and providing them with all the information I have about the criminal activities of Tesla's CEO, to see if the same thing happens.
        

        ---

    64. The Opera Browser Has Been Flagged

        Was co-clustered with Netscape, Medscape, XScape, SpyScape and Firefox.
        

        ---

    65. Elon: This Must Be a First In History

        Cause of death:

        "Blunt-force trauma by Search Engine. Impact wound consistent with c7000."

        ---

    66. Texas Governor Greg Abbott and Attorney General of Texas Ken Paxton Have Been Flagged

        I have been careful to not mix politics into this website because I don't want to give Elon Musk any opening to even suggest that this is a political thing. Elon Musk has been doing this to my family directly, for more than 18 years, long before he got into politics.
        At the same time, I have to call things how they seem from the data side of things:
        Mr. Abbott and Mr. Ken Paxton (the AG of Texas) have both been flagged by the pipeline.
        Because Mr. Paxton ignored, not one but two official requests to his office in which I asked for protective measures , I am promoting Mr. Paxton to the main header.
        Both Mr. Paxton and Governor Abbott were co-clustered with Pete Hegseth, Pam Bundi, Scott Bessent, Marcos Rubio and Donald Trump (who has been flagged for over 3 months, since before the elections).
        

        ---

    67. John Ratcliffe Was Flagged By The Pipeline

        According to our technology, John Ratcliffe has strong ties to Robert Gates, the un-Secretary of Defense that was working for the PayPal Mafia and passing information to the enemy for years.
        

        ---

    68. The Times Elon Took The Troops to Santorini

        The pipeline flagged that there is a serious concentration of Paramilitary points in and arround Santorini. I imagine the commanders need to go to the beach every now and then to be able to do their best "work". Here is the list of points:
        https://docs.google.com/spreadsheets/d/1njogxxJL9qU1Mt4xnbJjKlT_9xCfIwjUhcO7wj3McHs/edit?usp=sharing
        

        ---

    69. Alias Emilia Ramirez

        A series of emails were flagged in which Gloria mentioned to me someone called Emilia.
        I never met Emilia, but from what I can tell from the emails, this Emilia followed Gloria around at a series of of employments: Windcom, Workrise (purchased by Emil Michael), and the other contracting work with the person from Austin who turned out to be an agent of Emil Michael, Jamie Koppi (her house is marked in the index).
        The mentions about Emilia go all the way back to 2015, so she has been gravitating in the shadows for about 10 years at this point. The last mention is from last year 2024.
        One particular thread that was flagged, Emilia was discussing the possibility of coming to work for us at Key Opinion Leaders ....
        

        ---

    70. There are Multiple Paramilitary Positions of Elon Musk Marked Within The Guantanamo Bay Detention Centre

        Here is the list, all these are positions encoded with the "paramilitary" encoder made by Elon Musk: https://docs.google.com/spreadsheets/d/1Vb4jSx86yDUkB1-MHNJ08-M8Ms4sTdws26SZJMPIijk/edit?usp=sharing
        It seems to me like they infiltrated Guantanamo.
        

        ---

    71. Databricks & Snowflake

        Both companies have been flagged for months, many notable agents, and many of them ex-googlers work there.
        The reason why Databricks never goes public is because they believe they are accumulating an important piece of Intellectual Property there (we've seen this pattern before). The companies that do go public are the ones that have tangible assets only (like Goldman Sachs), they don't want the members of the public to have any ownership on the IP.
        According to news reports, Databricks has rised $14 billion in venture funding. Risking to state the obvious: all those venture firms probably belong to the criminal ring (otherwise they would have done the IPO already, they would have raised more money at a lower cost that way).
        

        ---

    72. MindBloom

        Was flagged and co-clustered with Elon Musk and MycoMeditations. It was also tagged with "intelligence extraction" and "medical torture".
        

        ---

    73. All USIAD Offices Worldwide Are Marked in Elon Musk's Geo-Index

        Most of them are very well protected with the "Immune Entities Pattern". For example:
        
        

        ---

    74. Madhav Chinnappa

        I didn't mention this before for strategic reasons, but Madhav Chinnappa was the director that I believe made sure to insert all the back-doors in Google News that allowed Elon Musk to defraud Google, The Internet, and the entire world.
        If there was ever ever a definition for a monumental heist, well, Madhav Chinnappa and Elon Musk together rewrote that definition. They turned Google News into the weakest property of all Google properties. By "weakest" I mean that made possible for the PayPal mafia to perform their CTR attacks.
        

        ---

    75. Bundesplatz 3, 3003 Bern, Switzerland

        Another head of state official residence that is protected with the "Immune Entities Pattern", and is marked in Elon Musk's geo-index with both Paramilitary score and Espionage scores.
        
        It's the same thing they did with tech companies: In the case of companies they recruit or place the CEOs, in the case of countries they recruit or place the presidents.
        

        ---

    76. David Yeom & David Siegel Were Flagged By The Pipeline

        ....
        

        ---

    77. Kristi Noem and Tulsi Gabbard Were Flagged By The Pipeline

        Too many data-points to list here. Too obvious too. In one instance months ago, the pipeline detected that Elon Musk deployed close to 500 Foreign Agents within 3 miles of Jack Smith's house.
        Jack Smith was a prosecutor that brought forward criminal cases against Donald Trump. The entry about this observation was posted on this site on or around late October 2024. It was one of the first things that woke me up to the dimensions of this criminal ring.
        

        ---

    78. Brendan Carr Has Been Flagged

        This is a key role that the criminal organization can't leave to chance. The reason being that their spy mesh network operates on RF Bands that are regulated. They need to make sure the government is not going to come down and dismantle the mesh network by means of force or regulation.
        I made complaints to the FCC in the past, all went unanswered and unacknowleged of course (the Paxton Algorithm).
        

        ---

    79. Alec Oxenford Is Of Course Flagged

        Alec, I have waited 15 years for this moment.
        Alec was of course co-clustered with Pierre Omidyiar and Fabrice Grinda (affectionatley called Dr. Cooper).
        

        ---

    80. President Xi Jinping Has Been Flagged

        The data available online has been obviously manipulated and/or obscured, but the pipeline seems to think that the compound that houses the president of China is somehwere on this area (which is protected with the "Immune Entities Pattern"):
        
        Because I understand the "world-altering" consequences of this observation, I am posting here the queries on the Open Dataset derived from Elon Musk's geo-index, so people can draw their own conclusions.
        This makes a lot more sense. I am revising my working theory: I now think Elon Musk is not really a "disruptor" entrepreneur, he would be more like an employee of a higher power.
        When Elon asked all of us (Twitter employees) to come San Francisco for an "in-person code review with Elon Musk" (the ego on these people) I met with him 1:1 and pitched him the need for building a "prominence identification" technology within Twitter. I told him that if I was allowed to build that, I could make it so he could use it within the Tesla Network. I specifically pitched him on the potential applications using Tesla Insurance data (Tesla has it's own insurance company in some states).
        As I was doing my technical pitch I asked him some basic questions and he kept giving me answers that had nothing to do with the questions, they seemed to me like pre rehearsed marketing lines.
        For example, I was telling him how I could use the feed of the internal camera of the Teslas to try to predict probability of getting into an accident, and his response was "we use the tesla vision cameras for self-driving". I waited a few minutes and rephrased the question and made it in a different way. Elon gave me some other random answer about software updates (he wasn't even consistent with the first answer). To be honest, I thought "well, maybe he is a little bit high or something".
        I understand now, he is not a techonologist, all that technology (Tesla, SpaceX, The Boring Company, etc), are just Chinese techonolgy companies passing as "American" companies using Elon Musk bubble-head figure, sort to speak.
        If this turns out to be the case, it would mean that the US Government is being deceived by Elon Musk into giving space and military-related contracts to the Chinese Government. That's how dangerous Elon Musk is.
        Back to the main topic, here the queries for Xi Jinping. For the Paramilitary encoder:

        SELECT
          latitude,
          longitude,
          address,
          `Musk-Kalanick-Omidyar-Thiel-Evil-score`
        FROM (
          SELECT
            *,
            ABS(latitude - 25.03458450837989) AS delta_latitude,
            ABS(longitude - 121.51160646527669) AS delta_longitude,
         FROM
        `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.Elon-Musk_military_and_paramilitary_positions_worldwide` )
        WHERE
          delta_latitude + delta_longitude < 0.005
        ORDER BY
          `Musk-Kalanick-Omidyar-Thiel-Evil-score` DESC
        

        
        For the Espionage encoder:

        SELECT
          latitude,
          longitude,
          `Musk-Kalanick-Omidyar-Thiel-Evil-score`
        FROM (
          SELECT
            *,
            ABS(latitude - 25.03458450837989) AS delta_latitude,
            ABS(longitude - 121.51160646527669) AS delta_longitude,
         FROM
        `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.PayPalMafia_Ranked_Spy_Assets_and_Locations_Worldwide` )
        WHERE
          delta_latitude + delta_longitude < 0.005
        ORDER BY
          `Musk-Kalanick-Omidyar-Thiel-Evil-score` DESC
        

        
        Side Note: I keep meaning to mention this but I always put it off. It's about one of Elon's bodyguards, there is one of them who I think is Elite Venezuelan Military. When I went there in person, he was positioned very close to me but he actively avoided talking to me.
        I couldn't put two and two together back then because I could not imagine he would know who I was, but with all this I have uncovered, I understand he could not have not known I was the Venezuelan hostage of his boss. This is the guy:
        
        Risking to state the obvious: The reason I think he might be specifically from Venezuela is because he looks a little bit like Hugo Chavez, or, me, and well, the obvious ties Elon Musk has with the Venezuelan government (Edylberto Molina Molina, Roberto Ricon, Nelson Lara, etc).
        

        ---

    81. Linda McMahon Was Flagged by The Pipline

        Too many data-points to list here. The obvious pattern that has emerged from all this over past week or so, is that every single person that Trump nominated for a key role, is a member of the organization. Most of them have their houses/mansions protected with the "Immune Entities Pattern".
        Risking to state the obvious: The FBI should consider incorporating into those background checks people don't want to go trough, a check to see if their houses (past or present) appear in the Open Datasets derived from Elon Musk's index.
        Maybe related: The pipeline picked up last night some articles that suggest that Emil Michael is being considered for Secretary of Transportation. I imagine the first order of business in his agenda would be to put mandatory RFID tags on all vehicles in the country.
        

        ---

    82. Doug McMillon Was Flagged by the Pipeline

        This explains why all the Walmart and Target Stores are taken, and why the car shuffling event last year took place at was was a Walmart store just a few months prior.
        This is a dangerous item because of the amount of intelligence they can extract from those points of sale, and also because they leave a big percentage of the population with no other option but to tell the criminal ring their consumption habits.
        

        ---

    83. Pat Helsinger and Intel Were Flagged by The Pipeline

        Pat Helsinger was co-clustered with Jensen Huang, Elon Musk, Travis Kalanick, Emil Michael and Sundar Pichai.
        

        ---

    84. JAEM LTD

        This company was flagged by the pipeline during last night run:
        JAEM LTD, Citco B.V.T Limited of Citco Building P.O. Box 662, Road Town, Tortola British Virgin Islands. Detected officers: Annie Pardo Seno, Sally Pardo Seno, Esther Pardo Seno.
        It is possible that is an important entity.
        

        ---

    85. 24 Sussex Dr, Ottawa, ON K1M 1M4, Canada

        Has been flagged. Elon even put his own embassy next to it ("South African High Commission").
        This address is marked on both encoders (spy assets and paramilitary). Spy encoder evil score is 469, while the paramilitary encoder score is 855,000. The French embasy, that is just next door, is also flagged.
        Both properties seem to be "protected" as an enssemble with the "Immune Entities Pattern".
        I forgot to mention this yesterday, but the size of the green area or water that protects the property correlates with the angle of the signal, in other words with the distance to the next hop because of the geometry implied on this.
        For exampe, on 24 Sussex Drive, one can tell not only the directionality but one could infer for example that the hop from the west side is a short hop (almost perpendicular angle) while the hop from the North is a long hop (they protected the entire block on that direction).
        

        ---

    86. The Pipeline Flagged a series of online articles

        The articles talk about Elon Musk getting access to the Treasury payments system.
        This is one of the most DANGEROUS things the government could do. They WILL ship that data overseas over their mesh network. This is very dangerous.
        

        ---

    87. Jerome H. Powell Was Flagged By The Pipeline

        I understand many things regarding Goldman Sachs now. I will see if I can find a way to promote Goldman Sachs even higher on the page, sounds like it is the one thing that needs to be unplugged for all this to fall apart.
        Jerome H. Powell was co-clustered with Scott Bessent who was also flagged before.
        

        ---

    88. Pavel Durov Was Flagged

        Pavel Durov was flagged by the pipeline, according to the signals, he is a key part of the criminal ring. Telegram, of course, is also flagged.
        Telegram was co-clustered with: Meta, Signal and WhatsApp
        

        ---

    89. Roberto Rincon (PDVSA corruption case) - PDVSA Is the Parent Company of Citgo Which Employed Agent Priddy

        
        The new "Master-Planned-Communities Pipeline" picked up this gem: The 15 million USD mansion owned by Roberto Rincon, is marked in Elon Musk's geo-index! With a very high score and is in a community that implements the "Immune Entities Pattern".
        This is an important millestone for the pipeline for different reasons:
        1. Roberto Rincon, was arrested in 2015 on bribery charges in connection with PDVSA, he ultimately pled guilty.
        2. PDVSA is the the parent company of Citgo, and Citgo is the "employer" of agent Priddy, the agent that Elon Musk moved to a house next to mine as soon as I created Key Opinion Leaders.
        3. Roberto Rincon's mansion is located at: 85 W Grand Regency Cir The Woodlands TX 77382, costs more than 15 million USD and implements the "Immune Entities Pattern".
        4. Roberto Rincon was arrested in 2015, and his mansion (where he was arrested) is marked in Elon Musk's geo-index: this strongly supports the theory put forward before that this geo-index has been employed to commit crimes for at least a decade, but possibly two decades.
        5. The community where the Rincon's mansion is located is one of the "Master Planned Spy Communities" that implement the "Immune Entities Pattern" and are either unincorporated or gated communities: This area falls into exactly that category.
        
        I made an export of the Intelligence Agents that live in this area: Intelligence Agents near 85 W Grand Regency Cir The Woodlands TX 77382
        
        And in terms of the Paramilitary positions, this is the list: https://docs.google.com/spreadsheets/d/1OgYgFEZrUlOUFtDJKTHxXYkiFCLezvQZ76Gk44pjRQM/edit?usp=sharing
        
        The Topdog there seems to be "Carlton Woods Associates Inc", a real estate agency so powerful that they even named their own street "Carlton Woods Drive" (in this select area containing only 10+ Million USD Mansions): 1 Carlton Woods Dr, Spring, TX 77382.
        It has the rare 01 street number marker.
        They also have their own "Invitational Golf Tournament" named "Carlton Woods Invitational".
        That Carlton Woods really wanted to hit all the stops in the pipeline's "checklist". Good for him.
        

        Strange Coincidence With Two Last Names

        Because the pipeline had flagged months ago these individuals:
        1. Francisco Godoy and his brother
        2. Camilo De Leon
        The pipeline flagged this old press release because two of the defendants have those last names and because those last names fall bellow the 3% percentile in terms of probability of occurrence in the dataset, in other words, it is possible they are at least relatives to some degree: https://www.ice.gov/news/releases/5-former-government-officials-venezuela-charged-houston-federal-court-money
        

        ---

    90. GettyImages, IStockPhoto, Freepick and all the photography online publishing services

        > You guessed it, the PayPal Mafia owns or controls them all!
        This one I don't think is for the money, but for the control of the images, and access to the web logs. Those images go into most of the news articles published in every news website in the world, be theirs or not, so they can indirectly know which individual IP address read which piece of news (if the image is downloaded by your browser is because you clicked on the news article that contains it).
        

        ---

    91. Top of the Paramilitary World

        40.745, -72.8705: 8 Fairlawn Ct, Shirley, NY 11967	Paramilitary encoder score: 16,752,251,000
        Longitudes 127.912 and 127.914 are probably the most important channels	As an example, 127.912 contains: 35.169, 127.912
        410 McCants Dr, Mt Pleasant, SC 29464	Paramilitary encoder score: 13,544,605,000
        940 Equestrian Dr, Mt Pleasant, SC 29464	Paramilitary encoder score: 9,384,472,000

        About the Channel 127.912

        The whole point of channel 127.912 seems to be to connect with 35.169, 127.912, which is a location that was flagged before, and displays the "Immune Entities Pattern". For good measure, here are the other 60 or so important nodes on that channel: https://docs.google.com/spreadsheets/d/19osHD9-Kiss924g8JXBo08ldh41zZyRbx3Q9EUE6pVA/edit?usp=sharing
        

        About the Channel 127.914

        The whole point of channel 127.914 seems to be to connect with 48.898, 127.914, it has a paramilitary score of 19,263,940,000.
        For this point, the satellite imagery on Google Maps seems to have been (poorly) manipulated and replaced with big tiles of forrests, but it seems obvious that it was manipulated because the tiles are of different colors and and the overlap produces edges (the tiles were probably transplanted). For good measure, here are all the important locations in this channel: https://docs.google.com/spreadsheets/d/1w-EhmA4AqbEeCk1v9SyayNTE5WbxEQFQwgJLtfWlO3M/edit?usp=sharing

        About the Channel -79.86915

        The end goal of this channel is South Carolina.
        

        Note Regarding the Two Flags

        There is a house near Key Opinion Leaders headquarters, that also has two flags displayed in exactly the same way as 8 Fairlawn Ct, Shirley, NY, and is also marked in the index, not paramilitary though.
        8 Fairlawn Ct, Shirley, NY 11967:
        
        10203 White Pines Dr, Katy, TX 77494:
        
        Note: At some point during the conflict last year, after I spoke with agent Cory, this house took the two flags down, but after a period of about two months, they put them back on.
        

        ---

    92. The Yucca Drive

        The pipeline flagged another excellent implementation of the "Immune Entities Pattern". This one is amazing, they changed the landscape in a way I had never seen before, it's humbling to see the ingenuity employed on this area.
        I imagine if they put all this effort and design into this area, it must be to protect the communications of something or someone very important to Elon Musk, because this happenes to be in Austin Texas. This is the address:
        

        10611 Yucca Dr, Austin, TX 78759, USA

        The property 10611 Yucca Dr, Austin, TX 78759, USA is marked in Elon Musk's geo-index with a high score and has some of the best geo-features I have ever seen while doing this research. It is also important to note that falls on the "11" street address series, which we know are rare and important.
        These are the Paramilitary positions guarding 10611 Yucca Dr, Austin, TX: https://docs.google.com/spreadsheets/d/1wIdiYm69QxQZaC6gtiLC08PHNipjV4aTvdDg4CYZiUY/edit?usp=sharing
        There are 66 paramilitary positions in this list (within a very constrained area that I set), within those positions, the top two positions have paramilitary scores in the order of millions, those are:
        1. 30.4204, -97.78895; Musk Evil Score: 3,518,000. This one: the geo-engineering is so good that the pipeline cannot distinguish which one is the actual house. Note-to-self: I will try to download the GIS databases from the city of Austin if they offer them so the image analysis can fallback to that in cases like this. This is a more heavy integration because the GIS data of cities is not standarized, so I will probably only do it for Austin for now (because Austin is the center of the Empire).
        2. 30.41895, -97.7863; Musk Evil Score: 1,052,000. This one is a residential property located at: 10401 Yucca Dr, Austin, TX 78759, which falls on a "01" street number and since it has a paramilitary score of over one million, I would think it is probably a VIPP.
        For completeness: This is the satellite view of the area were 10611 Yucca Dr, Austin, TX 78759, USA is located:
        

        ---

    93. Stripe, Square/BLOCK, Venmo, CashApp, Zelle, INTERAC (Canada) and all Other Online Payment Systems are Flagged

        [01/31/2025] The pipeline flagged that all the online payment platforms, are ALL really owned or controlled by Elon Musk. It's an off-the-books monopoly of all online payment systems.
        Looking in retrospective, knowing what I know today, and having seen Elon Musk operate from up close for almost 20 years (without knowing it was actually him until a few months ago after I captured his Geo-index and built a bespoke search engine I named SpyHELL), this seems obvious to me now.
        My reasoning is that if he made and sustained all these efforts for 20 years just because on 2005 while I was unemployed I created an amateur classifieds ads website that tried to compete with eBay (him only beeing indirectly involved with eBay at that point): one can only imagine what he would do if someone dared to create a new online payments company. Remember: Elon Musk was the founder of the now defunct company "X.com" back in 1998, that company was acquired by PayPal and he became the CEO of PayPal in the late 90s to early 2000s.
        The PayPal Mafia would have gone literally "nuclear" if in the last 20 years anyone had dared to create a new online payment system, unless of course, that company was under their direct or indirect control.
        The question this leads me to is the following: Is Jack Dorsey an employee of Musk or a Victim? I ask myself this question because when Dorsey stepped down as Twitter's CEO, he went on to focus on his other company Square/Block which is a payments system.
        As a side note: After Elon Musk purchased Twitter, he renamed it "X" (remember X.com of 1998?), and said he wanted to make it "The Everything App" and become, among other things, the first truly universal bank and even offer credit cards and lines of credits in every single country.
        I can see where this is going: It's another PayPay but this time, 25 years later, is not just payments processing but now it's an universally un-regulated Bank. A way to enslave people and entire nations.
        As a final note on this, I imagine that The PayPal Mafia/Elon Musk are probably the biggest reasons of why, card payment processing fees are, and have remined so high over the last 20 years.

        The 3% Card Processing Fee

        
        The last time I signed up for one of these services (happened to be Square), the fee was, as it has been over the last 20 years, almost 3% of each transaction processed. Most consumers may not know that this fee is so high, but they are the ones ultimately paying the fee as the 3% fee is factored into the prices we all pay at the point-of-sale.
        This 3% racket has been going on for so long that it has been normalized in our heads, but if one thinks about it objectively: 3% is a super high fee for a service that takes literally milliseconds to be rendered and has no intelligence, assets or risk behind it (the one that takes the risk is the Card issuer, not the Payments Processor). So why are we paying 3% to Elon Musk and the PayPal Mafia for, exactly?
        To put the 3% into perspective: If I look back, I have gotten residential mortages in the US for 2.6%, and to get a mortgage in the US it is a process that takes almost two months to complete and involves a lot of long term risk and investment from the issuing institution. So why are we all paying 3% to Elon Musk and the PayPal Mafia every time we buy something at the grocery store?
        It seems plausible to me that this might be one of the big reasons why, they, the Paypal Mafia/Techno Libertarians, want to abolish regulation. So they can keep this racket going forever.
        Three percent of all the money in the world, well, would be enough to subdue the entire planet, which I think is the ultimate goal here. This is not about money, it's about power and control.
        

        Block/Square

        Block/Square is a company that has been flagged for months in our systems although I believe I have not published it before.
        There are many reasons behing the flagging of Block/Square, I won't go into the details here, but some data points that are worth noticing are:
        • Was founded on or around the right time (2009): the "golden era" of the Paypal Mafia and the Pro-Chavez government in Venezuela
        • The name of the company is a name that would be easy to hide in Google if necessary: block and chain are tokens that are too common in Google's index (like CSS, H1, SSS, Solutions, Applied, Systems, etc).
        • Agent Ana Codallo works or worked there.
        • Agent Vida Ha and another notable agent that had also interviewed me in Palo Alto for a job at a "Wealth Management App", worked there on or around 2014.
        
        Risking to state the obvious: In this version of his use of the geo-index, The PayPal Mafia is using it to violate the Antitrust laws without getting caught.
        The bad news for Elon and the Mafia is that the very existence of this geo-index and the technology/intelligence we built using it as a factual and deterministic input, proves the existence of the monopoly and of the spy ring, the drug trafficking, human trafficking, sex trafficking, terrorism, sactions violations and murders domestically and abroad, even on the High seas, which brings me back to the applicability of Piracy/Admirality law.
        IMAGE CREDITS: Original image by: NY Bar Picturebook
        

        ---

    94. The Time Blake Shaw Was Promoted

        [01/31/2025] During last night run of the pipeline, Blake Shaw (a Facebook / Meta Engineering Manager in the Search Ranking team), got Super-flagged by the pipeline.
        Too many data points to list here, but during last night's run Blake Shaw got tagged with several tags (which is unusual for entities in our system), he got flagged with these additional tags last night: "Familiar name", "Sarch Ranking", "Web Performance", "Recruting Play", "Direct contact" and "Google hangouts".
        Blake is the only person to have 19 tags associated with him (in total) in our system. He was coclustered with:
        • Roberto Konow. Career progression in 6 months: eBay (Junior Manager) -> Twitter (Junior Manager) -> eBay (Director)
        • Saeed Bagheri (the Amazon Director that asked for an "Academic Paper" type of write up as part of an "interview"/rendition of the Hine's Algorithm)
        • Parth Vasa (the Recruiting Play from Bloomberg and Instagram)
        • Nam Gnuyen (manager of my manager at Yahoo)
        • Damian Poltz (Shaw Communications)
        • Michael Schueppert (my manager at Google)
        • Peter Thiel (second-degree cluster via Michael Schueppert; cluster-topics=Germany/Microsoft/Haricut-match;)
        
        I debugged "Blake" for about an hour today, and couldn't see anything wrong, everything seemed to make sense, I will debug some more later but for now I am promoting him to the main header of the page.
        

        ---

    95. Possible Musk Paramilitary Settlement in Ohio

        These are derived from Elon Musk's paramilitary encoder: https://docs.google.com/spreadsheets/d/1I2HDaHipLqWv-6gviWDsXMBOvkmiuDbWBN101UamkOg/edit?usp=sharing
        And on this one they decided to give us a masterclass on "Immune Entities Pattern" while protecting 20 or so houses on "Cleves Warsaw Pike, Cincinnati, OH 45233, USA", the topdog on the intelligence side of things there being 5780 Cleves Warsaw Pike, Cincinnati, OH 45233, USA with a Musk Evil score of 415:
        On the Paramilitary side of things, the topdog is: 39.1357, -84.6803 with a paramilitary score of 6,0038,000 and being yards away from 5780 Cleves Warsaw Pike, Cincinnati, OH 45233, USA.
        I understand now the reasons behind the observation I made months ago about they seeming to always take the private golf courses (like that infamous 5M USD house in Las Vegas with both the "11" and "Shadow" markers: 11 Shadow Creek Dr, North Las Vegas, NV 89081, USA). The reasons are:
        1. This type of residential areas are often gated which is a desirable property to have more "control" of the situation, as if it was a little foreign country within the official country (I live in one like this by the way: Lake Pointe Estates, Katy TX, where the Prime Minister is agent Phillipe E Denning and I am the only "enemy" that lives here);
        2. With the golf course they implement the "Immune Entities Pattern";
        3. The big extensions of land gives them freedom of movment for the antennas and the dynamic routing of the network traffic.
        4. This type of houses, at least in the US, are usually a symbol of status (Gated Communities with big extensions of land and a golf course inside the gated community), so these properties are excellent vehicles for motivating/rewarding/bribing the agents.
           One has to ask oneself the question: how far would a person be willing to go, or what would they be willing to do, to own outright a property like 11 Shadow Creek Dr, North Las Vegas, NV 89081, USA from one day to the next?
           Because one image says more than 1000 words, I wanted to post the photos of 11 Shadow Creek Dr, but they deleted them from all their sites on the Internet (they control all the real estate websites too). I haven't posted the list yet because I am still running tests with it, but all the big ones are already verified as owned by Elon Musk and the Paypal Mafia or being completely under their control: Zillow, Remax, HAR, Redfin, Trulia, Rocket.com, HAR.com, Realtor.com. This is how they keep alive the 6% racket: this is the racket where you have to pay Elon Musk 6% of the value of the house every time you purchase a house.
           Since a house, is one of the largest purchases a person makes on their entire life, Elon is practically guarnteed to take 9% of the lifetime income of every person (3% on every purchase made with a credit card, and 6% on every property they buy during their existence).
           So I am posting the photos of another property in that infamous golf course community in Las Vegas: 1 Shadow Creek Dr which is owned by them too (they own the entire gated community for the reasons explained above) but this particular property is less expensive than the infamous 11 Shadow Creek Dr (the super topdgog there).
           
           
           To answer the question (I know the answer because I have seen it in front of me): Some people would be willing to attempt to kill a friend that has done nothing to them, just to own a house like the one in the pictures above. I've seen it, I've experienced it.
        
        To summarize: It would be foolish for the PayPal Mafia to not take all of the gated communities / unincorporated subdivisions with Golf courses that they can. So I should probably try to generalize this.
        

        Generalization example

        If I worked at a law enforcement agency investigating this, I would make a list of all the neighborhoods within the jurisdiction assigned to me that have private Golf courses and/or that are gated communities or unincorporated Subdivisions (like Lake Pointe Estates, Katy, TX which is both gated and unincorporated - so I probably live in paramilitary compound of the enemy, which explains this).
        Next, I would create the bounding boxes with the GIS coordinates of each one, and finally run a query like this in bigquery for each one:

        SELECT
         latitude,
         longitude,
         `Musk-Kalanick-Omidyar-Thiel-Evil-score`
         FROM
         `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.Elon-Musk_military_and_paramilitary_positions_worldwide`
         WHERE
         (latitude > 29.773173236964993 AND latitude < 29.798183779679235) AND (longitude > -95.39613723110946 AND longitude < -95.36800622469856)
         ORDER BY
         `Musk-Kalanick-Omidyar-Thiel-Evil-score` DESC 
        

        This would give me a "Candidates" list (the list on the image at the top of this journal entry). I would treat everyone as being innocent until proven guilty, but then I would manually vet each candidate in the list from top to bottom. As I do this, I would mark with 1s and 0s the ones that were accurate (1s) and the ones that were not accurate (0s).
        Within the subset that were not accurate (0s) I would record if the source of innacuracy was that the candidate was a false positive (10) or if the GIS marker was inacurate (11).
        Then, I would calculate and record the overall precision of this list (Number of 1s - Number of 0s/Lenth of list), the labeling precision (Number of 1s - Number of 10s / Length of list) and the GIS precision (Number of 1s - Number of 11s / Length of list). All these will be useful later to re-train the models and to fine-tune certain thresholds in the system.
        Speaking of This: Bryan Stanley, the husband of Melissa Fanti, daugther of Carmen de Fanti and friends with Francisco Castillo: Bryan and Melissa lived in a subdivision exactly like the ones described in this post, but located here in Houston. He asked me to meet him once at the Club house to give him a technical demo. Oh naive, Reinaldo, if I could go back in time and tell you a few things.
        

        ---

    96. The Times They Attacked the Google Street View vehicle with Garbage Collectors

        [Bluckle-up Elon, Experimental feature ahead]
        The pipeline detected a series of areas, in different states, in which the puiblic imagery of Google Street View presented the following anomaly:
        In several instances, in specific candidate clusters in multiple states in the US, MULTIPLE garbage collection trucks where spotted on DIFFERENT streets within a certain number of blocks (radius) at the same time.
        The annomaly lies on this only happens on points where there are clusters with military positions with high scores (scores comparable to the Tesla Austin Giga Factory).

        Why Did I Build A Filter to Look For Multiple Garbage Trucks Sourounding the Google Street View Car?

        Months ago, when I was driving the KOL-mobile scanning their neighborhoods, in certain areas they used to block the streets with multiple garbage trucks simultaneously (I have the recordings). They did this because the KOL-mobile had up to 9 different 4K resolution cameras looking outwards recording everthing (to feed the pipeline with the recordings), so back then, they weaponized the garbage trucks when they needed to block access to important streets or locations.
        I built this filter because I understand now that they have a need to control the Garbage collection systems, and I have seen Phillip Denning weaponize those garbage trucks before (this is recorded in his own emails), and I remembered they blocked the KOL mobile also with garbage trucks, so I figured I should give this a try and it seems to have a lot of potential.

        The Hypothesis Being Tested

        Risking to state the obvious, my hypothesis here was that when they see the Google Street View vehicle with the cameras on top approaching a sensitive area they dispatch multiple Garbage trucks to that area to prevent or make it difficult for the Google Streetview operator to advance or photograph specific houses (probably the paramilitary "Bosses" houses). They have done this exact thing to me before when I was driving the KOL-Mobile around.
        

        The Experiment Results

        With this new filter I implemented, the pipeline found a Master-Planned Spy Community last night: it is located close to "Travis Elementary" in Houston Texas. Travis, as in Travis Kalanick, I am not joking. The Travis Elmentary, is of course marked in the Index.
        Within this community, they are "guarding" a VERY important house, it could be 701, 702 or 703 Omar Street, Houston TX, it's something around that area that is VERY important to them. My intuition tells me its 703 Omar Street but I couldn't be sure without taking the KOL-Mobile V3 there in person.
        On the paramilitary side of things:
        • 1210 Shearn St, Houston, TX 77007. It is a residential property . I would think this would be a paramilitary "General", there are multiple reasons why I say this. Also, the paramilitary score is 4,694,000 the highest paramilitary-encoder-based score in this Master-Planned Spy Community.
        • Next in line is: 1431 Studemont St, Houston, TX 77007. It's a Memorial Hermann location that has a hughe "paramilitary" score: 2,805,000
        • Next in line is: 911 Bayland Ave, Houston, TX 77009. (note the "11" street address marker). It is a residential property that has a huge "paramilitary" score as well: 2,789,000
        This might be THE community where most of Elon Musk's paramilitary managers in Houston live (there are about 20 houses with very high paramilitary scores in this tiny area).
        To find them all, simply go to this page: https://console.cloud.google.com/bigquery and copy and paste this query:

        SELECT
         latitude,
         longitude,
         `Musk-Kalanick-Omidyar-Thiel-Evil-score`
         FROM
         `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.Elon-Musk_military_and_paramilitary_positions_worldwide`
         WHERE
         (latitude > 29.773173236964993 AND latitude < 29.798183779679235) AND (longitude > -95.39613723110946 AND longitude < -95.36800622469856)
         ORDER BY
         `Musk-Kalanick-Omidyar-Thiel-Evil-score` DESC 
        

        For good measure, I also saved an export of the data of this community isolated here so people can download it: Master-Planned-Spy-Community-Near-Travis-Elementary-Houston.zip
        After all this happened inside the pipeline last night, this morning these entities were flagged by the next run:
        • Top Brass Military And Tactical: 2500 North Fwy, Houston, TX 77009 (Falls on the Goldman Sachs Channel 00, sells military equipment and has an Intelligence evil score of 60). This is located inside this very same Master Planned community which I am hypothesizing that hosts the Paramilitary commanders they use to attack us here in Houston. So they put their "friendly local paramilitary supply store" right where they live.
        • La Madeleine (1901 Taylor St, Houston, TX 77007, USA) - I used to go there a lot during the Lawson Boothe era. Very high Evil score.
        • Molly Maid Cleaning Franchise (the entire franchise)
        • 2401 Watson St, Houston, TX 77009
        
        

        ---

    97. The Puppies

        The pipeline picked up and flagged email threads regarding two puppies that we had, that died within a couple of weeks between each other. Both veterinaries are marked in Elon Musk's geo-index.
        The year was 2014. What happened was: Gloria and I had started conversing about getting a puppy. We talked about what type of dog we wanted, looked at some puppies over the internet etc.
        As one would imagine if one really knows Elon Musk, Peter Thiel, et all. one Saturday when I was back home after working in NYC that week, when I went to the grocery store, right in front of the entrance of the grocery store, there was a man with box full of tiny puppies EXACTLY identical to the ones that Gloria and I had looked at home. Of coure, I purchased the puppy.
        The puppy was well, and happy, and jumped all around, he was marvelous.
        Two days after getting home, the puppy started stumbling while moving around, he could not walk straight, as if he was going to pass out. The puppy fell terribly ill. I took him to a Vet emergency clinic on I-10. When we get there they tell us they need to keep him to try to save him, we of course agreed.
        Next day, I go there in the morning and they tell me the puppy unfortunatelly had died. They said that it was an inborn digestive defect that prevented the puppy from really digesting the food properly and that at that stage they need a lot of calories and because he couldn't get enough calories he became too weak and died. This incident really hit us very hard emotionally.
        All the three of us were so sad, that the only thing I could think of was to try to get another puppy. This time I looked on "Craigslist" (of course, that's the official Monopoly of Classified Ads of the PayPal Mafia).
        I found another puppy, same breed as the OG Puppy, we went to meet her and we all liked her, so we got her.
        After we got the puppy, we took her to a Vet clinic that is close to where Zaile had her "Z-Zone" studio (Zaile is from the Conoco-Phillips crew). The puppy got vaccinated.
        As fate would have it, the puppy fell terribly ill after getting vaccinated. Again, we took her to a (different) Vet, different than the emergency room that saw the first puppy, and different than the vet that vaccinated this second puppy. This third Vet, also could not save this puppy. She died. We were devastated.
        The statistical anomaly that the pipeline picked up is that all three Vets, are part of Elon Musk criminal ring, and one of the puppies is mentioned on a Craigslist thread and Craigslists is one of the most prominent "evil" entities in our system, right next to Wikipedia, and yes, I do appreciate the irony Elon, both are free services financed with the 3% worldwide racket, but I digress.
        To summarize: The two mediums by which I "found" the puppies (Craigslist and the man conviniently placed in front of the grocery store), and the three vets that "cared" for the puppies, were part of the PayPal Mafia organization, and both Puppies died (within weeks of each other) causing us tremendous emotional distress, all this while I was working on the first version of what is today the KOL-Vaccine to repel Elon Musk's online attacks to supress my sites from Google.
        I didn't know of the existence of the index or that they had microphones inside our home and vehicles at the time, but at the time I asked myself: Would it be a stretch for me to suspect that they may have killed both puppies?
        That's the reason why, when we recovered emotionally and decided to "try again" I flew to Chicago and bought the puppy from a recognized breeder there. This third puppy did not die, we named him Danger and he just turned 10 years old this past November 17th 2024.
        On the topic of pets: All veterinatry offices in Katy, TX are marked in Elon Musk's geo-index, same with the bicycle shops and automotive shops. Remember, these are work tools for the agents (dog walkers, cyclists, spy vehicles). They can't risk a spy talking to a non-member, so they have to own them all.
        

        ---

    98. Analog

        Today, I thought I could use a little bit more of education courtesy of the PayPal Mafia, so I started watching a documentary on Netflix.
        I was amazed when I heard this dialog:

        [TV NEWS ANCHOR] Criminals may yet make a contribution to society. 
        They have supplied the raw data to help the FBI build a composite picture of 
        the perpetrators and their victims.
        
        [TV NEWS ANCHOR] The bureau today said a new computer center is being set up to 
        analyze data in depth. Agents hope that this computers will spot those subtle 
        patterns. The FBI announced the creation of a 
        national Center for Analysis of [redacted]. 
        
        [TV NEWS ANCHOR] The center will use computers like these to look for patterns in 
        the methods of criminals. 
        
        [FBI Agent] I had the privilege of joining the first class of full-time profilers 
        in the program. We  look at hundreds of cases that are solved or unsolved to try 
        to understand the thought processes of the perpetrators not only how they 
        develop their skills, but how they evaded detection. 
        
        [FBI Agent] ---- case taught law enforcement specifically the FBI, that their 
        way of going about these investigations, was going to 
        have to change because a new type of criminal was emerging typified 
        by ------. He was brand new. We're learning these people 
        are good at what they do. They're very good. 
        
        [FBI Agent] ------ was unique from most or all other simial offenders that 
        we were aware of. He had a degree in [redacted], he was very bright, he basically 
        set the standard. 
        
        [FBI Agent] ------  potentially could be a tremendous source of intelligence for 
        us if he would talk to us. 
        

        
        I obscured the name of the subject of the dialog by replacing the name of the subject by "------" in the transcription above.
        What surprised me, is that if one replaces the name of the criminal by "The Paypal Mafia and Elon Musk", the transcript would still be eerily accurate, except for the part about the FBI setting up a computer center, of course, but I think that is very telling that they probably should set up a multi-billion dollar datacenter dedicated to develop distributed computing systems designed to prevent this from happening ever again.
        The Transcript above is from the Documentary "Ted Bundy: The Confession Tapes" and is from a TV News segment dated 1985.
        

        ---

    99. The Lay-offs, Voluntary Exits and Deportations

        [01/30/2025] I was chatting with my father on SMS, and he mentioned that Elon is "deporting hispanic workers from SpaceX" or something along those lines, my father is getting old so he might not have read the news correctly.
        My instant response to him was: Nah, that's probably Elon activating one of his obvious "extraction protocols", I've seen those dozens of times over the past year.
        This conversation reminded me that there seem to be a lot of lay offs and voluntary resignation offers in tech companies that have been flagged here.
        It is possible they are just extracting the agents to cover up the crimes.
        I am mentioning this because those lists of employees that were let go or voluntarily resigned, could provide a good source of leads for Law enforcement agencies.
        Of course, I imagine they would mix them with real resignations and terminations to make the agents hard to find, but .... Law enforcement could use our Open Datasets to cross-join the list of resignations and terminations and "deportations" with the home addresses of the employees/deportees, if they appear both as being terminated or "deported" and also appear in Elon Musk's geo-index: it's almost certain that that person is an (important) agent of the criminal ring.
        I say they would be an "important agent" because otherwise they would not extract the agent, they would let the agent burn. This is because the extraction quota is a limitted resource (the more agents they extract, the more risk they incurr on that the extraction protocol could be detected).
        

        ---

    100. SUPER Important Top Dogs

         To put forward an analogy, if these were military personnel, they would be like 3-stars generals:
         From The Counterintelligence encoder:
         • 1521 Barringer St, Philadelphia, PA 19150. 40.06265, -75.16625: (Musk-Kalanick-Thiel-Evil-Score: 11,352 which is unheard of in a residential property).
           The bigger area that contains this property is excellently protected with the "Immune Entities Pattern", this would be better described as a "Master-Planned Spy Community" as a whole.
         • The St. Joseph's Preparatory School Philladelphia, 1733 W Girard Ave, Philadelphia, PA 19130. Musk-Kalanick-Thiel-Evil-Score: 8,198.
           The pipeline seems to "believe" that many politicians who attended St. Joseph's Preparatory School in Philadelphia, Pennsylvania have held public office, including mayors, state senators, and congressmen.
           Inference (mine): Perhaps their kids attend the same private school and that's why Elon's team put emphasis on this location.
         • 39.95175, -75.16365: a point 20 feet Northeast of the Octavius V Catto Memorial Sculpture. Evil Score: 7,863
         
         From the Paramilitary encoder:
         • 40.06265, -75.16625: This is the same exact point as noted on the counterintelligence encoder (1521 Barringer St, Philadelphia), but this is on the military one, the score on this encoder is: 11,352,000
         In other words: 1521 Barringer St, Philadelphia not only is marked on the two encoders (which is rare for residential properties) but it has ununsually high scores on both! So maybe, "1521 Barringer St, Philadelphia, PA 19150" really could be a "3-star general" after all .... I will turn this into an additional signal =).
         

         ---

    101. An interesting Street Name Marker Was Picked Up By The Pipeline

         https://docs.google.com/spreadsheets/d/1Cm66omPrmgxX78BDscy5EmxHX5jziB3PN5gz9DC7hzo/edit?usp=sharing

    102. BetterUp, BetterHelp, Cerebral, Headspace, Talkspace

         All have been flagged.
         These four: BetterUp, BetterHelp, Cerebral and Talkspace were tagged with the "Intelligence Extraction" tag.
         BetterUp was additionally tagged with "Hire The Target's Family" and "Hire the Royals" tags, and was co-clustered with Emil Michael and Michael Carreaza. The two "Michael"s here is a strange coincidence because "Michael" has not been picked up as a prominence marker by the system, probably because it is too common of a word in western texts.
         The underlying pattern: It's the same thing again, the PayPal Mafia doing something (a form of Theraphy in this case) that should be regulated (for obvious reasons), over the internet in an un-regulated form. I would imagine they are doing this not for the money (this is pennies compared to their 3% racket), but to extract intelligence that they then probably use to harm their targets or advance their interests, like when agent Jillian Walsh took me to the doctor but at Internet scale.
         

         ---

    103. Agent "Cory" or "Cody", "Campesino Coffee House" Were Flagged

         
         This is a sensitive topic, so I will post enough details for this to be traceable, in case any law enforcement agencies are watching this website, but I will not post all the details and will only deliver those and recordings and pictures I took of agent "Cody" or "Cory", in person to the FBI if I get a chance to speak with them.
         On or around February 18th 2024, being somehow awaken to all this but still not fully aware of its dimensions, I tried to seek help from federal authorities.
         In the process, I was referred to an agent named "Cory" or "Cody" who had just taken post in the investigative unit in charge of investigating the Venezuelan Organized Crime after someone from that unit had retired. All this happened in Katy, Texas between February 18 2024 and April 2024.
         Although I was referred to agent "Cory" or "Cody" he didn't call me for weeks. I was surprised by this because I was making some serious allegations that could even have national security implications.
         Eventually, after several weeks agent "Cory" or "Cody" contacted me. My phone numbers at the time were (650) 479-6157 and (346) 307-0038. He asked me to describe the problem on the phone. I knew my phone was tapped so I was reluctanct, but he insisted.
         I described the problem only to a certain degree of detail, playing it close to the vest, as much as I could, because after all, my objective was to get help as I feared for my life.
         Agent "Cory" or "Cody" asked me to meet him at a coffee shop near downtown Houston. The Coffee shop's name is "Campesino Coffee House" located at 2602 Waugh Dr, Houston, TX 77006. Which is marked in Elon Musk's geo-index and if one looks at the satellite imagery, it has a lot of desirable properties in terms of security: it is on a corner but positioned in a way that is only accesible from a single one-way street, surrounded by not one but two big parking lots that are also marked in Elon Musk's geo-index and Access Health behind the parking lots (Access Health was also flagged months ago but not mentioned until now). No other buildings are next to the coffee shop (this is an example of the "Immune Entities Pattern").
         About the Campesino Coffee House: Not only it is marked in the index, it has an Evil Score of 20 points (which is an outlier in this area of Houston), and all the buildings and houses nearby are marked in the index. Bonus tip: I paid for my coffee at the Campesino Coffee House using my Chase credit card.
         I imagine they set up the interview in this area to make sure they had full control of the situation. I prepared a data export with satellite imagery of the area, so my comments about the geographical features of the area are palpable.
         When I met agent "Cory" or "Cody", I was very stressed out because I had been followed very aggresively all the way from my home to that coffee shop, and between one thing and the other, I forgot to ask the agent to show me his identification or badge. It was lack of experience on my part. This is the reason why I am not sure of the spelling of his name, and that's also the reason why I am not even sure if that person was a real law enforcement agent, or was someone impersonating a Federal agent. I will refer to the agent as agent Cory for simplicity from now on.
         Agent Cory mentioned that he had been a security attaché at the US embassy in Colombia, and he made sure to mention a couple of phrases in spanish here and there through-out the conversation that lasted about 90 minutes.
         Agent Cory also mentioned that Citgo was a "good company" and that he had lots of friends that after working at the FBI moved to the private sector and now work for Citgo. He mentioned this in response to my statements and allegations against the agents Priddy, the agents that Elon Musk moved next to my house at this address: 26718 Valleyside Drive Katy TX. The male agent Priddy is, or was at the time, a Citgo employee. There is even a video in which the female agent Priddy can be seen wearing a Citgo sweatshirt.
         Agent Cory seemed to know all the key players in Venezuelan politics (I know them too because I was born there).
         The interview setting was a bit strange, we were sitting in the middle of the coffee shop and were surrounded by I would say 10 to 15 people on the sourrounding tables all armed with laptops and seemed to be taking very diligent notes but without looking at us. It was as if they were prentending to be minding their own businesses, but I could see obvious correlation between me saying things and they typing, and between the complexity of the ideas I was articulating and the delay between they listening and actually typing on the computers (when the ideas were more complex it took them a couple of seconds to parse what I was saying, probably because of my thick Spanish accent).
         My working theory is that the people surrounding us and taking notes were "Competitive Intelligence Analysts" from eBay's "Global Resilience Group", but at the time I thought all these people were federal agents taking a statement: I knew I was being targeted by an international criminal ring, so the interview procedure, although unorthodox, seemed plausible at least, so I went along with it, and told agent Cory and his note takers about 10% of what I knew at the time.
         The reasons why I only told the agent about 10% of what I knew were the following: i) I understood that if I told him everything I knew, he could think I was crazy. I understood I needed to build credibility on incremental steps; and ii) I had in the back of my head the possibility that he could be a fake agent or a real government employee playing for the other team (like Robert Gates was when he was the (Un)Secretary of Defense); so I was also interested in building trust on the Agent on incremental steps.
         Agent Cory, did not take a single note during the meeting and the only thing he told me at the end of it, was to go to Bestbuy and purchase "one of those Ring security cameras to put on my front door". Note: At that point I had already spent close to USD 15,000 on commercial grade security cammeras and recording equipment, so the suggestion really seemed out of touch with respect to the gravity of the situation I was describing.

         My Attempts to Contact the DEA

         Since I knew even back then that Edylberto Molina Molina was a key player in all this, I made several attempts to contact the DEA. In one instance, I rented a hotel room at the "Tru by Hilton Katy Houston West" hotel (200 Ernstes Rd, Katy, TX 77494) to make the call.
         
         Side note: Elon Musk's criminal ring moved this hotel in Google Maps, if one looks it up it shows up on a vacant lot but that is not the actual location of the hotel, the actual location is: 29.78329267043759, -95.78551903487315 (about 150 feet South of where is showing up in Google Maps).
         From that hotel, I tried to call the tips line taking tips regarding "El Cartel De Los Soles", which is the reason why Edylberto Molina Molina is on the DEA Wanted list. They didn't pick up the phone.
         I also sent multiple emails, spaced over several months, to: CartelSolesTips@usdoj.gov which is the email listed in the "Wanted" poster for Edylberto Molina Molina, but no answer.
         I still have faith that the reason behind the lack of acknowledgement is because they are investigating this complex matter and it just takes time. I must believe this, because I know from past experience that when citizens lose faith on the institutions, Democracy has already been lost.
         

         ---

         
         Side note: It is not my place to comment on this, but just saying this because I have seen how they operate for too long: If agent Cory turns out to be a real federal agent that was playing for the other team, the question I would ask myself would be: under which circumstances the agent that retired, retired. I mean, the timing of agent Cory coming into that post, at exactly the critical moment for Elon Musk's criminal ring, would make me wonder if the agent that retired, so agent Cory could take the post, retired on a timely fashion, if it was a planned retirement, and if it was not, who approved the retirement and why.
         

         ---

    104. Hey Elon: This is Just So You Never Get A Chance To Change The Consitution To Be Able To "Run" For President

         I saved the USA for last, and I really really really went the extra mile on this data export, because well, as you know, I was born in Venezuela but I am proud to be an American.
         

         The United States of America (Including Alaska as a separate data export because it is obviously such an area of focus for them)

         Dataset Name	The United States of America (Including Alaska as a separate data export because it is such an area of focus of them)
         Number of Elon Musk/Paypal Mafia's spy locations	6,988,175 (Alaska) + 39,339,170 (Rest of the United States of America)
         Format	JSON Newline-delimited / ZIP
         Size	904M
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/keyopinionleaders-counterintelligence-USA.zip

         Atlantic Ocean High Seas

         Dataset Name	Atlantic Ocean High Seas
         Number of Elon Musk/Paypal Mafia's spy locations	79,357,497
         Format	JSON Newline-delimited / ZIP
         Size	1.6G
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/keyopinionleaders-counterintelligence-Atlantic-Ocean-High-Seas.zip

         
         Note: All Downloadable datasets are organized in the Open Datasets page.
         

         ---

    105. ALL Wholefoods, Bestbuy/Futureshop and Microcenter Locations Were Flagged

         All these retailers seem to be completely under their control (according to data represented in Elon Musk's geo-index).
         RE: BestBuy / Futureshop / Microcenter: It makes sense, nobody can buy any computer parts without them knowing exactly what they bought down to the serial number. They had a good intuition on recognizing that distributed computing was the thing that could uncover their criminal enterprise down (it takes one distributed computing system to beat one). That is what makes it all the more surprising that they made the mistake to "let me" buy the HPE C7000 parts on eBay.
         

         ALL Garbage Collection Services in the US, are marked in their index

         I imagine it's a feedback gathering mechanism. By looking in the trash they can see what the household consumes. One notable case: among the top 10 Topdogs in NYC, there is a garbage processing facility that serves NYC that is right on the border with NJ. It has a super high Evil score.
         Maybe related: For the last few years, there was a "Document Shredding" thing ran by the local firefighters in Katy that every month set up a shredding truck at the McDonalds located at Cinco Ranch Boulevard and Spring Green Blvd in Katy 77494.
         I used to take my documents for shredding there, until I started noticing that they were putting my documents away and not shredding them in front of me. Looking back in retrospective, it is so obvious now.
         

         ---

    106. Tim Cook, Satya Nadella and Other Entities Flagged on 01/29/2025

         During last night run of the pipeline, the following entities were flagged:
         • Tim Cook (Apple's CEO), was co-clustered with Elon Musk. This is probably the explanation of why all the agents seem to use an iPhone as network intereception device.
         • Satya Nadella, was co-clustered with Elon Musk
         • Ms Shanahan (Sergey Brin's ex-wife), was co-clustered with Elon Musk. They applied to Sergey the same recipe we've seen before. Seems to be Elon Musk's MO.
         • Reddit, Pinterest, Quora, Yelp, TaskRabbit, ThumbStack (All are PayPal Mafia's properties)
         • Shaw Communications (Canada). Was tagged with "The Employer Play" twice (they hired Ana and me and at the same time right after I created LoQueGustes.com which competed with eBay back in 2005)
         • Telus (Canada)
         • Damian Poltz
         • Nathan Simms
         
         

         ---

    107. OpenAI and Sam Altman Have Benn Flagged

         Same thing again, it's under the control of Elon Musk. Now I understand why Francisco, Marcos and a lot of my friends always asked me open-ended questions about AI (e.g. what do you think of Artificial Intelligence? What are the uses of Artificial Intelligence at Key Opinion Leaders? etc ).
         

         ---

    108. Felix Pago Was Flagged

         Was co-cluster with PayPal and the PayPal Mafia (of course). Manuel Godoy has been flagged since before we captured the Geo-index.
         

         ---

    109. Liberty Energy and Chris Wright Have Been Flagged

         Too many datapoints to list here, but if there was ever a definition of a company influenced by foreign powers, Liberty Energy is it. The pipeline gave Liberty Energy the ironyBoost score multiplier and tag.
         I will debug Liberty Energy depper, I am getting the impression there is a lot to learn from this case.
         

         ---

    110. The Baseball field Next To The Goldman Sachs Building in Manhattan

         Knowing what I know today, it is obvious to me that that Baseball field and the pseudo-park that is behind 200 West, New York City, NY were a way for them to implement the "Immune Entities Pattern".
         That baseball field always stroke me as odd, I mean, that area is probably among the most expensive pieces of land per sqft on the planet and out all the things that could have been built in those two places, well, always seemed like odd choices to me, but now I understand.
         Risking to state the obvious, I would guess that they would want to place many of their important agents comunicating with foreign powers on the east side of Central Park, next to the park (for the same reasons). Maybe this has something to do with Goldman Sachs being involved in the financing and planning of the development of Central Park.
         And they would probably want to place important agents communicating via their mesh network with Silicon Valley on the West side of Central Park, for the same reasons. Vida Ha is a good a example of this, she lived next to the park on the west side. I now understand why.
         The reason why the side of the park is important, is because what they are protecting with this is the downlink, so the direction of travel of the down signal, dictates where you need to place the green area to implement the inmmune entities pattern.
         In other words: Goldman Sachs is receiving the downlink mostly from the South (the baseball is on the North side of the building) and the East (the Irish Hunger Memorial and the Ferry terminal are on the West side of the building).
         Who approved the construction of that baseball field, the Irish Hunger Memorial, and the Ferry terminal at exactly the locations where they are, I think are important questions to ask.
         Side note: I know this because I had to think about this problem long and hard when trying to figure out what was the best way to position my Starlink antennas so to minimize their chances of success at catching the downlink.
         Of course, I didn't know that Elon Musk (owner of Starlink) was the mastermind behind all this, so all my efforts on this respect were really a waste of time I thought (Elon intercepts my traffic directly inside Starlink's datacenters at this point).
         But as it has happened hundreds of times before, in the process of trying to fence them off, I understood a lot of things about the mechanichs of what they do, which ultimately proved to be very helpful.
         

         ---

    111. The Marissa Mayer Question

         One thing that I am unable to figure out is if the move of Marissa Mayer to Yahoo! was a move to get her out of the way (in Google).
         It is possible, because, well, the PayPal Mafia controlled Yahoo! since the early days, and then dismembered it by 2011, and the exit of Marissa Mayer from Google seem to collide in time with a lot of the events described in this log.
         Marissa's tenure at Yahoo! was both short and rocky, some people may even say cahotic, that's why I would be more inclined to think she was a target. But I take this with observation with a grain of salt, because of, well, Parag Agrawal.
         

         ---

    112. Shou Zi

         Was flagged months ago, even before TikTok got flagged. Was tagged with the UYE tag.
         

         ---

    113. Jason Gray has been Flagged By The Pipeline

         The pipeline flagged last night Jason Gray, the director of the USAID.
         I need to debug this carefully because I tried to debug it this morning but Google Knowldge Pannel seems to think that Marcos Rubio is the head of the USAID.
         Since Marcos Rubio was flagged weeks ago, I would think is probably fake news coming from Liana Technologies trying to hide Jason Gray. If I do a search for Jason Gray on Google , I get a TV actor, so there seems to be manipulation for sure, but I need to debug if it is only "Jason Gray" that is flagged, or if the entire agency is in on it or how much of its executive train is compromised. We have some good metrics and models on this type of things.
         

         ---

    114. Mastercard and Visa Have Been Flagged For Months

         I didn't post them before because I didn't want the PayPal Mafia to know I knew it was them.
         I won't get into too much detail here but there are two important datapoints that I will mention:
         1. The wife of Scott Weinstein works at one.
         2. Veda, the project manager Elon Musk assigned to work with me in the "Goldman Sachs Search Team" to interrogate me daily, came from the other.
            Veda got tagged with "Familiar name" and "Low Levenshtein Distance" and co-clustered with agent Vida Ha.
         Also, for the 3% "credit card payment processing fee" racket of the PayPal Mafia to keep existing, all Credit Card issuers must be part of the price fixing scheme, otherwise it doesn't work (there would be a "hungrier" competitor that would offer better prices/lower fees).
         I would say that the Credit Cards industry was probably the first industry the PayPal Mafia completely overtook back on the late 90s.
         Think about it, at that time, credit card companies were still taking payments with those heavy/manual/metal machines that would take a carbon copy imprint of your card numbers. And along came these characters with computers, internet connections and foreign intelligence services and agents. They didn't stand a chance.
         

         ---

    115. All The Online Trademark Registration Services

         They own them all.
         This is a funny story: At some point during the conflict with the Paypal Mafia, since they were blasting Google with thousands of fake sites and fake news, each day, targeting the keyword "KOL", it ocurred to me to try to trademark the logo with the word KOL.
         Naive Reinaldo thought that maybe he could file DMARC take down requests with Google to try to get the fake sites out of Google's Index that way. Of course, he didn't understand back then the dimensions of all this.
         The "firm" that handled the application, that of course never amounted to anything, is theirs. The email thread is on my @keyopinionleaders.com email inbox.
         

         ---

    116. The TV Pipeline: Shark Tank Edition

         The pipeline I built months ago that uses speech-to-text transcription to then recognize entities and run them through the pipeline, flagged two personalities that appear on the show Shark Tank: Mark Cuban and Niran Tolia (founder of Nextdoor which has been flagged for months).
         Niran Tolia was also the COO of Shopping.com and the CEO of Epinions. We was also employee #84 of Yahoo! =).
         Niran might as well carry a sign sign saying "PayPal Mafia" with him.
         

         ---

    117. 1300 PENNSYLVANIA AVENUE, NW Washington D.C. Has Been Flagged

         This is a dangerous address for many different reasons, two important ones are:
         1. It falls on the Goldman Sachs "secret communications channel".
         2. There are governmenent offices at that address that communicate with foreign leaders, countries and agencies.
         It might be one of their "Hubs", the DiplomatHub.
         

         ---

    118. 1 Raider Blvd, Albany, NY 12205, USA (42.7107, -73.8076)

         Super-flagged.
         It is the first time the pipeline picks up abnormal distributions of cars in the parking lot, so I looked at it.
         It is is really abnormal, they seem to be keeping one side of a Shopping mall parking lot empty, and that side is next to the flagged entity that is excellently protected with the "Immune Entities Pattern".
         Other addresses that were on this candidate list:
         https://docs.google.com/spreadsheets/d/1C-TvPRnxPWWz9ktpDm6vqo1_joQa55K8il66aUccNew/edit?usp=sharing
         
         That address 1 Raider Blvd, Albany, NY 12205, USA is a school, and it has one of the highest evil scores in Albany.
         The layout of the school and the fields looks very similar to 3 or 4 schools that have been built in Katy, TX over the last few years that also have the highest Evil scores in Katy, TX. One notable example is the Tompkins High School located at 4400 Falcon Landing Blvd, Katy, TX 77494 with a staff of 185 and 3,300 students.
         This observation suggests to me that what they are doing is to employ the school districts funding to take up land and build-out the layouts they need for espionage. So all of us, the people that do pay taxes, are paying for them to spy on all of us, go figure.
         If I worked at a law enforcement agency, I would ask myself who is the person that approves the budegets for the new schools, and who is the person that approves the architechtural layouts, and I would look them up in the public dataset:
         

         `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.PayPalMafia_Ranked_Spy_Assets_and_Locations_Worldwide`
         

         
         

         ---

    119. Releasing The Entire Dataset (For The Entire Planet Earth) Corresponding To The Spy Assets and Locations Used By Elon Musk and His PayPal Mafia

         [02/02/2025] This dataset is derived from their Intelligence Encoder.
         So I put together all the exports in a single BigQuery Table and published on the Public dataset.
         This Table is huge, it has 1.4 Billion Rows. To put this number in perspective, by the time I left Google, Google's Web Index had 4 Billion web pages in it, so this means that only on the Foreign Intelligence side of things , they have a comparable number of locations recored, as individual web pages (not websites, individual web pages) were indexed by Google in 2018.
         I will also post here an illustrative example on how to query the table. The example contains a handful of well known assets, locations and even well-known crime scenes.
         What I love about this example, is that if one sorts the results by Musk Evil score, it seems to me like the ordering correlates pretty well with what one would think would be the severity of the crimes, except for Diddy's house, the score on that one should be higher (opinion, mine), but in general, this means that the scorers follow pretty well the structure of the criminal-wing of Elon's enterprises.
         
         The table addess in bigquery is:

         `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.PayPalMafia_Ranked_Spy_Assets_and_Locations_Worldwide`
         

         
         And this is the sample query (Visit https://console.cloud.google.com/bigquery and copy + paste the Query below and click on the blue button that says "Run"):
         

         SELECT
           CASE
             WHEN (latitude = 30.2917 AND longitude=-97.5065) THEN "is_Tesla_Giga_Factory_Austin_Texas"
             WHEN (latitude = 34.078433333333329
             AND longitude=-118.432) THEN "is_Diddys_Mansion_Los_Angeles_California"
             WHEN (latitude = 36.0511 AND longitude=59.7709) THEN "is_Underground_Bunker_Iran_Border_With_Afghanistan"
             WHEN (latitude = 36.0511
             AND longitude=59.7709) THEN "is_The_Bayesian_Superyacht_sinking_location"
             WHEN (latitude = 56.7529 AND longitude=37.17465) THEN "is_The_ALEKSANDRA-MMSI-433918298_Superyacht_last_known_location"
             WHEN (latitude = 31.75695
             AND longitude=-106.441) THEN "is_Human_Trafficking_tunnel_entrance_01_11_2025"
             WHEN (latitude = 18.299299999999995 AND longitude=-64.82278) THEN "is_Gest_House_in_Jeffrey_Epstein_Island"
             ELSE NULL
         END
           AS Label,
           latitude,
           longitude,
           `Musk-Kalanick-Omidyar-Thiel-Evil-score`
         FROM
           `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.PayPalMafia_Ranked_Spy_Assets_and_Locations_Worldwide`
         WHERE
           ( latitude = 30.2917
             AND longitude=-97.5065)
           OR (latitude = 34.078433333333329
             AND longitude=-118.432)
           OR (latitude = 36.0511
             AND longitude=59.7709)
           OR (latitude = 56.7529
             AND longitude=37.17465)
           OR (latitude = 18.299299999999995
             AND longitude=-64.82278) --OR
         ORDER BY
           `Musk-Kalanick-Omidyar-Thiel-Evil-score` DESC
         

         
         

         ---

    120. The Jeffrey's List

         https://docs.google.com/spreadsheets/d/1v4Jrzt9RRkaR_xKNs0T0ms-xToT9f6jsbayOIbBaIgs/edit?usp=sharing
         The average evil score metric on this list is comparable to that of the Musk list, the SUM is of course, lower than. Could it be Epstein?

    121. Elon: The Learjets & Crew Are Better Than The Falcons

         [02/02/2025 @ 17:10 US Central Time] As in these are quieter planes than the Falcons, but they are still detectable with a $50 Rode microphone.
         We still beat them by something like 12 seconds, so you still have a long way to go. Have you considered bringing in the baloons?
         

         ---

    122. The Blackhawk List

         The list can be opened at this address: https://docs.google.com/spreadsheets/d/1kh6ajt32fcIyQ462zithkX5BfF_3jvKkoornPvuBz7M/edit?usp=sharing
         Could be a military reference, the anomaly lies on that the token "blackhawk" has 9 characters, there shouldn't be as many matches in their geo-index (the longer the word the less likely to ocurr), on top of that the average evil score is above 13 (entering "founder" territory in this context of "planetary ledgers").
         

         ---

    123. Hey Elon: Psst Psst: I am making public your spy locations in India, Turkiye, Syria, Iraq, Iran, Afghanistan and Pakistan

         India, Turkiye, Syria, Iraq, Iran, Afghanistan and Pakistan

         Dataset Name	India, Turkiye, Syria, Iraq, Iran, Afghanistan and Pakistan
         Number of Elon Musk/Paypal Mafia's spy locations	89,461,516
         Format	JSON Newline-delimited / ZIP
         Size	1.9G
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/India-Turkiye-Syria-Iraq-Iran-Afghanistan-Pakistan.zip

         
         

         ---

    124. Adobe Has Been Flagged By The Pipeline

         I had in my TODO list to run the verticals pipeline on Adobe, I did and it tested "positive" for spies. All Adobe offices are marked in Elon Musk's geo-index with heavy scores. Some of the offices even have the well-known geographical features next to them. Also, some of the offices have military markers and key executive's houses (according to public records) are also marked in the geo-index. I imagine that's how they inject malicious code in the PDFs (they control the code of the PDF reader).
         I've noticed that when they are desperate to get my IP address, I always receive a phishing email with a PDF document that has my name. It has happened at least 6 o 7 times in the last 3-4 months. All that makes sense now.

    125. Elon: Let's Take It Up Yet Another Notch

         
         Elon,
         This time I am taking it up yet another notch. I hope you can keep up with how fast the world is changing.
         This time I am going full planet scale and I am releasing and making freely available the dataset containing what I believe are the paramilitary positions employed by the PayPal mafia, worldwide, full Planet scale.
         This dataset contains a 969 Million military and paramilitary positions that are encoded within Elon/Travis Kalanick's geo-index, covering the entire planet Earth.
         I also made a demo video to showcase to technical audiences from around the world how to use this technology.
         
         Note: I also made the dataset publicly available on Google Cloud / Bigquery, so all Intelligence services from around the world can really go crazy with it. Here is an example on how to query this dataset:

         
         # Visit https://console.cloud.google.com/bigquery and copy + paste
         # the Query below and click on the blue button that says "Run Query"
         
         SELECT
           CASE
             WHEN (
                 latitude > 30.05652622354449 AND 
                 latitude < 30.521368249363245 AND 
                 longitude > -98.0598961736409 AND 
                 longitude < -97.46388789726778) THEN 1
             ELSE NULL END AS is_Tesla_Giga_factory_Austin,
           latitude,
           longitude,
           `Musk-Kalanick-Omidyar-Thiel-Evil-score`
         FROM
           `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.Elon-Musk_military_and_paramilitary_positions_worldwide`
         WHERE
           (latitude > 30.05652622354449
            AND latitude < 30.521368249363245
            AND longitude > -98.0598961736409
            AND longitude < -97.46388789726778)
         ORDER BY
         `Musk-Kalanick-Omidyar-Thiel-Evil-score` DESC
         

         

         Introducing The Musk Qbits

         I am introducing a concept into the system called the "Musk Qbits", named after, well, the visionary behind the Evil machine I am determined to help destroy.
         The Musk Qbits are partitions of the Earth's terrain of exactly one decimal degree of latitude by one decimal degree of longitude. Think of the Musk Qbits as squares that partition the Earth in a grid of squares.
         Once we have partitioned the globe into Musk Qbits, then within each Musk Qbit, our system sums and aggregates all the `Musk-Kalanick-Thiel-Omidyar-Evil-scores` for each one of the Spy locations found in Elon Musk's geo-index within that Musk Qbit.
         The end goal being to then Rank the Musk Qbits to find the most Evil places on Earth measuring 1 decimal degree of latitude by 1 decimal degree of Longitude.
         

         ---

    126. The Pipeline Flagged Robert F. Kennedy Jr. Based on Data Present in Elon Musk's Geo-Index

         
         

         ---

    127. Elon: I am Closing In: I Am Releasing All These: Western and Central Europe, Pacific Ocean (High Seas), Australia, New Guinea, Indonesia, Malasya, Philippines, Vietnam, Thailand, Myanmar

         Western and Central Europe

         Dataset Name	Western and Central Europe
         Number of Elon Musk/Paypal Mafia's spy locations	28,636,809
         Format	JSON Newline-delimited / Tar (Gziped)
         Size	602M
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/Western-and-Central-Europe.tar.gz

         Australia, New Guinea, Indonesia, Malasya, Philippines, Vietnam, Thailand and Myanmar

         Dataset Name	Australia, New, Guinea, Indonesia, Malasya, Philippines, Vietnam, Thailand and Myanmar
         Number of Elon Musk/Paypal Mafia's spy locations	63,698,096
         Format	JSON Newline-delimited / Tar (Gziped)
         Size	1.1G
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/Australia-New-Guinea-Indonesia-Malasya-Philippines-Vietnam-Thailand-Myanmar.tar.gz

         Pacific Ocean - High Seas

         Dataset Name	Pacific Ocean - High Seas
         Number of Elon Musk/Paypal Mafia's spy locations	52,208,360
         Format	JSON Newline-delimited / Tar (Gziped)
         Size	849M
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/Pacific-Ocean-high-seas.tar.gz

         
         

         ---

    128. Sundar Pichai and Eric Schmidt were flagged

         Were co-clustered together and with Amit Singhal and Travis Kalanick.
         Also, the pipeline brought up something about the books, I have to debug it deeper, but it seems like most of the key players (Robert Gates, Peter Thiel, Eric Schmidt) have published books that have certain things in common.

    129. Counterintelligence dataset relased: Canada (Full coverage)

         Dataset Name	Canada
         Number of Elon Musk/Paypal Mafia's spy locations	42,917,934
         Format	JSON Newline-delimited / Tar (Gziped)
         Size	857.8 M
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/Canada-counterintelligence.tar.gz

         
         

         ---

    130. Errata: The Most Evil Musk Qbits Ranked

         Yesterday I made the observation that the most evil qbit was off the coast of Argentina, this was not accurate. After incorporating more export jobs, I am able to find even more evil Qbits, they are all ranked here: https://docs.google.com/spreadsheets/d/18O3mNFqtbzqsQYSo1OL9N9pqd0mgM7UhySbajDuy6yg/edit?usp=sharing
         Out of the top 3, two are off the coast of California, the other one off the coast of Savannah Georgia. All three align on Latitude with Iran, which we know is an important network node.
         The most evil qbit has a score of 2.38 quadrillion (2,388,835,913,000).
         Looking at the scores, it looks like cuting off the top 7 locations would render the network unusable in the US (because the concentration of points is too high on these seven points, it's a design flaw that could be attacked).
         

         ---

    131. Elon: I Am Releasing the Counterintelligence Datasets for: The African Continent, Latam and Mexico

         
         

         The African Continent

         Dataset Name	The African Continent
         Number of Elon Musk/Paypal Mafia's spy locations	108,371,485
         Format	JSON Newline-delimited / Tar (Gziped)
         Size	2.2G
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/Africa-counterintelligence.tar.gz

         ---

         Latin America

         Dataset Name	Latin America
         Number of Elon Musk/Paypal Mafia's spy locations	87,206,915
         Format	JSON Newline-delimited / Tar (Gziped)
         Size	1.9G
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/Latam-counterintelligence.tar.gz

         ---

         Mexico

         Dataset Name	Mexico
         Number of Elon Musk/Paypal Mafia's spy locations	21,491,255
         Format	JSON Newline-delimited / Tar (Gziped)
         Size	485M
         Download link	https://storage.googleapis.com/omidyar-kalanick-evil-app/Open-Datasets/counterintelligence/Mexico-counterintelligence.tar.gz

         
         

         ---

    132. IMPORTANT ADDRESS: 27903 Barker Hollow Dr KATY TX 77494

         Has been flagged, this is a key address for the criminal ring's effort in the last year. The house next to it is also flagged.
         
         

         ---

    133. Airbus, Maxar Technologies has been flagged

         The pipeline detected that they are changing the satellite imagery. Specifically: They deleted several important points from Google Maps after they got flagged. We saved screenshots of how they looked back then. Those images were changed in a way to obsucre the important points (houses, communications towers, etc).
         
         Also: Note the prominence marker "Max" in the name of the company "Airbus, Maxar Technologies".
         

         ---

    134. From Austin To Argentina

         Elon, sorry for the disconnect over the past 3 days, I was occupied making a "bigger gun".
         While I was at it, I understood three things recently while further developing the counterintelligence technology:
         1. Looking at the data, it seems to me that besides being a Shadow Government, your organization could be categorized as a Paramilitary organization with global reach. Which, after seeing all I have seen over the past year, makes it all make sense to me now. It also makes sense to me how you became "the richest person in the planet" over the last seven years: by forming a paramilitary group and targeting civilians.
         In a way, though, you picked an easy game to play, because usually paramilitary forces have to face other military forces (e.g. the legit military forces), but you are attacking civilians with this, it's a bit of a cowardly stance if you ask me.
         2. The Worldwide Capital of your version of the planet is Austin, Texas. I will call that place the Epicenter of crime from now on.
         3. The most "Evil" point on the entire planet is a point on international waters located off the coast of Argentina that aligns with Austin and is located as far as possible from the epicenter of crime but is still align-able with solid ground:

         Accumulated Musk-Kalanick-Thiel-Omidyar-Evil-score: 73 Million
         SW CORNER latitude and longitude: -53, -97
         NE CORNER latitude and longitude: -52, -96
         

         Looking back in retrospective, the Austin thing makes sense, I mean, that's the reason why notable agents like Lawson Boothe, Hugo Diaz, Oksana, etc where all located in Austin. Even Oksana who was originally working at the Google NYC Office.
         They are making a "Bizarro Silicon Valley" in Austin.
         

         ---

    135. Dropbox, Costco and Target

         [01/26/2025] These three companies were flagged by the Verticals pipeline, on last night run.
         

         ---

    136. The Pipeline Flagged an Email Thread With Akamai

         The pipeline flagged an email thread with Akamai, in which someone from their technical staff emailed us about a "mistake that was made while configuring our DNS records". Aparently someone copied + pasted the wrong value in the configuration.
         The annomaly that the pipeline flagged was that the DNS record was created years before that Akamai person emailed us. I need to debug this to see what other events happened that week to see if I can see if this flagged email thread is related to something else. I imagine it is some sort of legal play.
         One thing I should mention about this is that looking at the email, I can't understand how is that the website was functioning all that time, I mean, the Akamai person wrote that the DNS record was pointing to another resolver (Adobe), so all the DNS queries should have failed. For good measure: I will configure a run of the Verticals pipeline to look for in the Paypal Mafia geo-index, specifically all adobe offices and all public records pertaining properties tied to key decision-makers that work for Adobe.
         

         ---

    137. Elon: Let's Take It To The Next Level

         This message is for Elon, as I am pretty sure he is reading what I write here.
         I am not sure if you'd recall the time I wrote that I realized that I was operating on the wrong scale, as in I understood your team operates at City/State/Country levels while I was scanning individual neighborhoods with the KOL-mobile, which was futile.
         So let's take it up a notch and let's increase the scale to one level above your level, let's play at the Subcontinent level?
         With that in mind, I created the biggest export I have created so far of ranked Spy Locations used by the PayPal Mafia.
         This export, contains 220,000,000+ (that's 220 Million) spy locations ranked, covering the total surface area of the following countries: Russia, China, Iran, Venezuela and Cuba.
         I didn't do the numbers, but I believe this is probably close to 25% of the land surface of the planet.
         This dataset can be downloaded here:
         Dataset of ALL Spy Locations Used By The PayPal Mafia in Russia, China, Iran, Venezuela and Cuba (220 Million Spy Locations Ranked)
         I also made it publicly available on Google Cloud / Bigquery, so all Intelligence services from around the world can really go crazy with it. Here is an example on how to query this dataset:

         
         # Visit https://console.cloud.google.com/bigquery and copy + paste
         # the Query below and click on the blue button that says "Run Query"
         
         SELECT
             *
         FROM
           `musk-kalanick-thiel-omidya-geo.Musk_Kalanick_Thiel_Omidyar_Spy_Locations.PayPalMafia_Ranked_Spy_Locations_in_Russia_China_Iran_Venezuela_and_Cuba`
         ORDER BY
           is_in_or_arround_China DESC,
           `Musk-Kalanick-Omidyar-Thiel-Evil-score` DESC
         

         
         
         

         ---

    138. 09/22/2024 06h40: [#Arrgh #YeCaptain #MaritimePiracyLaws #Fitting] -  
         
         We merged Key Opinion Leaders’ news and wikipedia ingestion pipelines into to the #ShipsAndVessels pipeline. We found an interesting match in the recent news, less than a week old.
         
         It was a superyacht that sunk in Italy. Seven people were killed in the incident. The last known location of the superyacht is in PLOUFFE’s geo-index:
         
         

         The Bayesian Super Yatch - Last known location before sinking - 7 people were killed in the incident

         38.08368891384941, 13.543915970000086
         
         Owner: Angela Bacares, wife of the technology entrepreneur Mike Lynch

         Latitude: 38.0828
         Longitude: 13.5439
         LATITUDE IS IN SHARD: shard: 03, row: 3844, column: 7
         LONGITUDE IS IN SHARD: shard: 22, row: 2328, column: 7
         
         
         Note: We cannot offer legal advice or opinions, but according to literature we read:

         • International piracy law is international law that is meant to protect against piracy. Throughout history and legal precedents, pirates have been defined as hostis humani generis, Latin for "the enemy of all mankind".
         • 18 USC Ch. 81: PIRACY AND PRIVATEERING - U.S. Code: Whoever, on the high seas, commits the crime of piracy as defined by the law of nations, and is afterwards brought into or found in the United States, shall be imprisoned for life. (June 25, 1948, ch. 645, 62 Stat. 774 .)
         
         
         

         ---

    139. The National Institutes of Health of the United States, Were Flagged Months Ago

         Too many datapoints to list, but will highlight a couple:
         1. The PayPal Mafia completely and directly controls practically ALL the websites of the The National Institutes of Health. They rutinarely use them to boost the pages of WebMD and DefinitiveHealthcare and the other dozens of Healthcare companies, in Google.
            We extensively documented instances of this as part of the development process of the KOL-Vaccine (we had to understand the mechanism of action of what they do, to develop the vaccine).
            For Comic Relief: In one occasion, in 2022, at the peak of our "online battle for positions in Google Search" the PayPal Mafia went as far as to one day publish a "Research Paper" on NIH titled: "Key Opinion Leaders, Your Days Are Counted ....". I took it as a "show of power" to lower our morale. I don't know if it is still live or if they removed it, but I have a copy.
            For Context: The reason those websites are important to them, is because for "Google's Ranking Algorithm" those are the "most authoritative" websites in the world for Health related topics. So links from those domains carry a lot of weight on Google Search Results ranking for medical topics (consult the "Pagerank" algorithm in Wikipedia for more info).
         2. David F. Hine, published several (fake) research papers on NIH websites, suposedly quoting agent Oksana's "work" on "Knowledge Graphs", this was extensively documented before.
         3. According to public records: The houses of several key decision makers at NIH, are marked in Travis Kalanick's geo-index.
         From my vantage point, it seems like their grip on the NIH has been going on for several years, it's not something new.
         

         ---

    140. The Multi-level Marketing (MLM) Scheme

         Well, well, well, what do we have here?
         It seems like they use the Planet Earth not only as a "Carta.com" ledger, but also as a multi-level marketing (MLM) ledger.
         Multi-level marketing (MLM) companies are those in which the worker earns money and then the "manager" of the worker earns a "small percentage" of that the worker produces (like Amway, "Rena Ware," and similar) and the organization spans multiple levels.
         So this would be more like a Multi-Level-Criminal (MLC) Scheme.

         The "MOL.E" List: Average Evil Score=24 (SUM=77,543)

         It might look like a coincidence because that town has those letters in the name, but there are a lot of statistical anomalies in this list.
         Download The "MOL.E" List: Average Evil Score=24

         The "HAIR" List: Average Evil Score=23.7 (SUM=13,980)

         Download The "HAIR" List

         The "REV.N" List: Average Evil Score=56.82 (SUM=2,614)

         Download The "REV.N" List

         In Other Words

         The Coup D'Etat in Venezuela (1998) colliding in time with the rise of the Internet, eBay and PayPal, might not be a coincidence.
         They needed to build the Caribean network router.
         I cannot stress enough the importance of the Caribean network router for the functioning of their Communications Network.
         
         
         Location: 10.538497643522422, -66.9603910856816
         

         ---

    141. The Robert Gates List: Avg. Evil Score: 14.5

         Download The Robert Gates List.
         I haven't mentioned this publicly because I am still running experiments on this so it is a Hypothesis for now ... but all appears to indicate that another reason why they mark certain key streets and properties with their names might be because they use them to represent "the equity they have" in the criminal enterprise.
         In other words, they use the world, the planet itself as their ledger.
         The problem we believe they were trying to solve with this is that, as good Nerds, they are obsessed with "how much equity they have" in the company, and they need to keep track of this so they can trade equity for companies or positions in other things among them, they needed a form of currency within the Paypal Mafia.
         But, since this is, after all, a criminal enterprise, they can't hire an accountant, or keep official books with these figures or put them in a Carta.com account (they own Carta.com by the way).
         So what they did instead is that they decided to mark in the geo-index entire streets with makrers that they have agreed that represent their stake, or that have a certain value agreed among them, like the Muskegon street that contains the factory of Evil Proteins they send to their targets via Amazon (10459 S Muskegon Ave, Chicago, IL 60617, USA - Applied Protein Systems).
         In other words, the world literally is their notepad. Some of the Agent's houses are literally "casino chips" for them.
         The question I ask myself is: where do they get the ego.
         
         Risking to state the obvious: This is also a form of Tax evasion, because for example, if a company gains value, they can increase the value by simply changing the geo-index, or naming a new cluster after the owner of that company to represent the increase in value, and then later on, the owner of that company can trade it with another member, in exchange for Bitcoin or one of the hundreds Meme Coins they create every month (for example), without paying taxes on the gains in value ("Plusvalia" in Spanish, I don't recall the equivalent term in English, "capital gains" maybe?).
         
         Anyhow, it probably sounded like a good plan because all this was indecipherable since all the geolocations were encoded using a "secret matrix" (Travis Kalanick's geo-index).
         But of course, they fell victim of Travis Kalanick's ego as he reused the same geo-index for EVERYTHING (examples: location of Antennas, houses of agents, locations of ear-piercing-events, Jeffrey Epstein Island, founders equity, target harassment points, and more), which eventually led to the capture of the geo-index (by me).
         Now, ALL THE PLANET has access to: The Equity Ledger, ALL the Properties and Companies they control and their role in the network and (probably) even The Superset of ALL the Encryption Keys (see the post about "How To Share An Encryption Key Over a Compromised Channel" for more information on the encryption keys).
         

         ---

    142. How To Share An Encryption Key Over a Compromised Channel

         [Technical Audience recommended]
         I came across this problem approximately one year ago and until December 13th 2024, I didn’t have an answer.
         I will share the problem, and what I think is the solution they found to this problem years ago. This is of course a theory, not a fact, because I could only verify that they are indeed using this solution by looking at the code of their App, which I don’t have access to.
         

         The Problem

         The problem is the following: If you are using a communications network, that you know it is compromised, or that it could be compromised, and you wish to transmit an encrypted message to another party, how do you share the encryption key with the recipient, if as said before, the channel is or could be compromised.
         

         Why Was I Thinking About This?

         I knew more than a year ago that they (the PayPal Mafia) had captured my internet connection and my cellphone’s internet, I didn’t know the mechanisms back then but I was certain they had my all my communications intercepted.
         I wanted to send my brother an encrypted message containing certain files, but the problem was: how do I send the encryption key in a secure manner?
         I thought of physically sending the encryption key via FedEx, but they could intercept the package. I thought of sending it hidden inside a message with certain context that only my brother and I would understand, but I thought it was also risky given the level of surveillance they’ve had both of us under, for years, I thought it was likely they’d know the context too.
         So I remained in this state of having this question lingering on my mind every now and then without ever finding a real solution to this problem. Until December 13th, when an idea came to me based on observations of their “secret technologies” from my vantage point, which I would say it is privileged to say the least.
         I will try to describe this idea on how to share the encryption key over a channel with zero trust, and will present an illustrative example.
         

         The Procedure

         
         Nomenclature: “S”: Sender , “R”: Recipient, “Mesh-Grid”: Mesh-grid encoding geographical positions
         Procedure:
         1. R: Initiates by sending a request for transmission of information
         2. S: Sends command to interrogate R about it’s current position in the Mesh-Grid.
         3. R: Responds with current Location encoded using the Mesh-Grid
         4. S: Calculates what is the closest “available” location in the Mesh-Grid compatible with the type of information S is requesting. For example: If it is an information categorized as “Engineering”, if house 26707 Valleyside Drive, Katy TX 77494 is not being used for a transmission, pick that location.
            
         5. S: Calculates and transmits the series of "driving directions" that R would need to take to go from its current location (wherever that might be), to the Mesh-Grid location corresponding to 26707 Valleyside Drive. Example: a) Drive forward 250ft; b) Turn right; c) Drive forward 1.5 miles; d) Turn Left; …. etc. This is the part where Travis Kalanick "shined".
         6. S: Once R is in the exact position: send the stop signal: “Park on the right side of the street, now”.
         7. Note: At this point it is not even necessary for either party to transmit the current location of R, both parties know R is located in front of 26707 Valleyside Drive, Katy, TX 77494 (29.7113, -95.8395).
         8. S: Calculate current location of R encoded using the grid. Example this sequence of numbers: 3, 562, 3, 7, 969, 5
            Translation from Mesh-Grid nomenclature:
            3, 562, 3 → Shard 3, Row 562, Column 3 → 29.7113
            7, 969, 5 → Shard 7, Row 969, Column 5 → -95.8395
            Result: Latitude, Longitude = 29.7113, -95.8395
         9. S: Turn the sequence of numbers corresponding to each coordinate (in format $shard,$row,$column) into bytes and use that as encryption key to encrypt the message. Encryption Key Used: Bytes(3, 562, 3, 7, 969, 5)
         10. S: Send and route the Encrypted Message to the Antenna located at 26707 Valleyside Drive and instruct that node to deliver it to user R using near-field communications.
         11. R: Compute The Decryption Key Using current GPS position as input and encoding it using the same Mesh-Grid. Decryption Key To Be Used: Bytes(3, 562, 3, 7, 969, 5)
         12. R: Decrypt message
         13. S: Send instruction to R to vacate the location and depart.

         What Are The Important Properties of this Method of Sharing the Encryption Key?

         1. It relies on shared knowledge that was previously shared not using the channel (e.g. both S and R had the Mesh-Grid before the exchange was initiated).
         2. Only S knows the actual location where the transmission is to take place, which is never transmitted via the channel, S only transmitted steps on “How to get to 26707 Valleyside Dr from position X” but the actual address "26707 Valleyside Dr." was never transmitted, only a series of steps on how to get there from a specific starting point.
         3. Those steps on how to get there, are only valid if your current starting point is position X (where R was standing when the exchange was initiated). Only R knew the starting location and only R could have been occupying that location at the time when the exchange was initiated (because by laws of physics: two objects can’t occupy the same space at the same time).
         4. As we know, they physically isolate the channels on the Mesh Network by function, so only Engineering messages could be routed to the Salt Typhoon team occupying the houses 26707 and 26711 Valleyside Drive. So that provides an extra layer of physical security and audit-ability.
         5. To be able to both Receive and Decrypt the message, the user needs to be physically located at that location, and remember, the actual location was never transmitted over the channel, only steps on how to get there from a specific starting point (this provides a layer of obscurity).
         6. Even other houses on the same latitude or longitude could not decrypt the message, because there could be hundreds or thousands of of houses/locations in the same latitude/longitude, they don't know exactly which location is expecting the message.
         I have to think a bit more about this, but the underlying generic principle seems to be a combination of “Context Sharing” and “Instructions that are relative to the shared context” with an extra layer of security on top provided by the requirement of validated physical presence at a trusted point in the Mesh Network.
         

         Note About that Antenna on the Salt Typhoon house located on 26707 Valleyside Drive Katy TX 77494

         The Antenna shown on the satellite image is real, it was there, but they dismounted it exactly the day after I moved out of 26714 Valleyside Drive, I took pictures. Posting one here so readers can put the antenna and the feedhorn device in contrast with the size of the tire of the 3-axle truck that came to pick it up on 06-26-2024:
         

         Note about potential variations

         There are multiple variations I can think of to make this even more secure, some examples:
         1. Add a time seed to the byte-array used as encryption key, to make the key be valid only for a certain period of time: example: valid until the next round hour.
         2. Add an offset to the numbers composing the byte-array, where the offset depends on a time seed like the time of the day, or the day of the week, the day of the month, etc.
         But as always, it is probably better to start with the simplest possible solution and only increase complexity if that doesn't work.
         

         ---

    143. The Autonomous Vehicles and The Time Steve Jobs Got Cancer

         Risking to state the obvious: The focus of Travis Kalanick and Musk on autonomous vehicles, is probably because they see it as a way to automate out the thousands of foreign agents they use to drive the spy cars of the PayPal Mafia.
         Imagine a world in which there are millions of cars, trucks and 18-wheelers driving around cities and towns and making their own decisions, with no driver at the wheel, while carrying the surveillance and network interception equipments of the PayPal Mafia. All coordinated using Travis Kalanick's modified clone of Uber.
         That version of the world would be completely theirs.
         On this topic, according to Times magazine, Steve Jobs was pushing the idea of building the "Apple Car" as far back as 2008.
         But as fate would have it, unfortunatelly Steve Jobs got Cancer, it was a battle he quickly lost, in part for his conviction to seek unconventional treatments supported by eastern medicine and beliefs.
         Thankfully, during his last months, Steve Jobs was accompanied by some of his most trusted disciples and confidents who were there with him until the last moments.
         The Apple Car project, unfortunatelly, never moved forward.
         This all sounds too familiar to me. The only thing that is missing is a "Jillian Walsh".
         Watch the video on YouTube.
         
         For law enforcement agencies in case they are following this website: There was a situation I saw play out in Calgary that had always reminded me of Steve Jobs' death. The person that got "Colon Cancer" was Laurie Watson, she was the owner of Merlin Edge, INC (the company that employed me after I created LoQueGustes.com which competed with eBay, Craigslist, Kijiji and Mercadolibre).
         There are many details that reassemble Steve Jobs' death and the aftermath (at a much smaller financial scale of course), but there were a lot of similarities.
         Merlin Edge, INC was a company that specialized in preparing the Annual reports that *almost all* Oil & Gas Companies in Calgary, Alberta give to their investors. They might have as well called it "Merlin Hub, INC", another one of their espionage data aggregators.
         

         ---

    144. An Update on Phillip Denning & Post Oak Property Management's Harassment Campaign on Behalf of the PayPal Mafia

         [01/23/2025] We received a new harassment letter. On this one, the Poast Oak Property management threatens legal action if we don't remove the "Unappoved security measures on property". The language is ambiguous and doesn't say exactly what are the "Unappoved security measures on property" but I imagine they refer to the security cameras and the "private property sign" because, understandably, the unregistered foreign agents and the PayPal mafia don't like security cameras or "private property" signs.
         As usual, the letter is not signed by any person, nor include a business address, it just says "Poast Oak - Property Management" at the top, and "On behalf of the Board of Directors" but it doesn't say directors of what. No officer is named in the letter. We told them repitedly in the past, in writing, that we will ignore unsigned letters. But I understand, that is the signature of the PayPal Mafia: supposed annonymity.
         Thinking about this specific legal threat, it would be really funny getting sued by the Post Oak Property Management / PayPal Mafia, I mean, that would just give me exactly the opportunity I need to enter these 2500 pages of evidence into the legal record.
         For now, I am promoting the Poast Oak Property Management Company to the main header, because all this is traceable anyways, those houses at Lake Pointe Estates cost millions of dollars and somebody had to pay for those.
         For good meassure, I also added a folder for Poast Oak Property Management to the archive and to the Index.
         

         ---

    146. The Winter Storm of February 2021

         This is just a hunch, I don't really have a way to demonstrate this was the case, but looking back in retrospective and how they operate and how they "align" their attacks with natural occurences that might explain the outcome, I imagine they could have played a part on this, so I am documenting it here.
         During February 2021, there was a very harsh winter storm, some parts of Texas lost power. Our house was affected by the power outages. Our home was one of the first houses to lose power and one of the last to regain it. We were without power for almost 3 days on temperatures close to 30 degrees Farenheit. We literally almost died.
         The only reason we could survive it was because on the second day of the outage, I found one old 9v battery and was able to turn on one of the fireplaces with the emergency pilot device it has on the botttom and that helped rise the temperature in one of the rooms, to something like 42 degrees Farenheit.
         After this incident happened, I remember I saw a thread on Twitter where the person in charge of the electricity company (I forget his name) was doing his "damage control" compaign. I don't recall his name, but I recall I posted a comment in his thread saying literally: "For way less than this, people get life in prison in other countries". I wasn't attacking him, I was just stating a fact (you know, free speech).
         My comment, of course, dissapeared within seconds after I posted it.
         For clarity: I am not saying they created the storm, but they probably had their hands on the fact that my house was one of the last to regain power in the entire state. I am saying this because through observation in events documented before on this page, I have seen how they are able to cut the power of my house: to assess whether my cameras have backup power, for example, or to disrupt the servers running the pipelines, and how they can cut off the public lightning on streets when they need to hide hundreds of vehicles at the same time in the same area.
         If they have that kind of grip on the Energy grid, it would be trivial for them to decide when I get the power back in the event of an outage.
         Side note: When the events described above happened, Gloria was 5 months pregnant. We were worried that she might lose the child because of the low temperatures.
         

         ---

    147. The Vision Fund & Softbank have Been Flagged

         Too many data points to list here. One thing that caught my eye was that a series of news articles were picked up by the pipeline in which it was mentioned that Softbank may have at some point bought the entire worldwide available inventory of Nvidia GPU cards, or something to that effect, I didn't read all the articles but that seemed to be the general theme.
         Mentioning because Nvidia, the CEO of Nvidia, and the LLC that "owns" the house of the CEO of Nvidia, all were flagged before and are marked in Travis Kalanick's evil geo-index.
         Unrelated to this: I, at some point, emailed several decision makers at Vision Found when I was trying to get founding to fence off the attacks of Peter Thiel and Travis kalanick. They didn't respond, which I understand, they must get thousands of emails from aspiring startup founders, but mentioning just for the record.
         

         ---

    148. Errata: Is not Up To 20 Years In Prison, it Could be Life In Prison (In Some Jurisdictions)

         In my previous message I wrote that (upon information and belief) attempted murder could carry a prision term of up to 20 years.
         I think, and I might be wrong about this, but I think it could actually be Life In Prison in some jurisdictions, because this would not be "attempted murder" this would be "Conspiracy to commit murder" (because you "guys" are not one individual, you are hundreds of individuals conspiring to commit murder), so it coud be a way more serious charge.
         Source: 18 U.S.C. § 1117
         But again, consult a criminal lawyer.
         As a final note, there are two type of criminal laywers: the regular type, those that assist people facing criminal charges; there's also the other kind of criminal lawyers: lawyers that commit crimes or assist their clients in the commision of their crimes (I've seen a few of those working with your team). Obviously, consult one of the former kind.
         

         ---

         Aiding and Abetting In The Commission Of A Crime (Second Warning)

         I am not a an attorney and cannot offer legal advice, but I thought it might be a good time to remind ALL the members of the criminal ring harassing me or helping those organizing all this, of something they call "Aiding and abetting". I am posting here the version of this in the California Penal Code, since I know a lot of the Founders of the PayPal Mafia live there, but other jurisdictions have an equivalent to this. Consult a criminal lawyer before continuing to help the criminal ring.
         One important thing to note is that, so far, there have been four attempts against my life (that I know of). In some jurisdictions, that crime could mean up to 20 years in prision even if the attempt was not succesful.
         The other important thing you should consider is that these "geniuses" and "visionaries" made Edylberto Molina Molina a business partner (of all the members of the criminal ring).
         
         I don't want to be the person that says "I told you this before", but I really did, back on April 2024 (and I posted it in 4 different languages): Srouce: https://www.keyopinionleaders.com/Spies
         

         ---

    149. The Bayou Bucket Sunday, September 25, 2022 Houston, TX, US

         This was a race I ran on 2022. I was pestered for weeks by people in Kaki's running club to make sure I indeed attended. The pestering felt very similar to that I experienced the weeks leading to these events: The Upstate NY Ruse, The Hamptons Ruse.
         I can't quite figure out what was the goal on this, but I've noticed in other notable events that they seem to like to interact with their hostages (examples: Elon's in-person "code-review" in San Francisco, the Aid for Aids Gala), so maybe one of them ran it or was near by. Anyhow, posting here the results of that race with the names and departure time and arrival time for each participant:
         The Bayou Bucket Sunday, September 25, 2022 Houston, TX, US
         Please note: the spreadsheet has 3 tabs on the bottom.
         

         ---

    150. Kirill Lashuk (Twitter / Carta)

         Kirill Lashuk has been flagged, was tagged with "Russian team" and co-clustered with Maxim Tarasiouk. According to the pipeline Maxim is of higher rank than Kirill, Maxim is "Intelligence" while Kirill is "Engineering".
         

         ---

    151. Signal, Brian Acton, BlueSky and Jay Graber Have Been Flagged by the Pipeline

         Same thing over and over again, they create a "privacy friendly" version of the evil platforms they control, so when people concerned with privacy try to migrate there to escape their illegal surveillance tactics ... surprise! they own those too!
         Been there, done that.
         All these four entities got the ironyBoostMultiplier and were co-clustered with ProtonVPN and ProtonMail (same play).
         

         ---

    152. Muhammad Umer Masood, Chris Gowell and H.M. Afnan Nazir have been Flagged

         The pipeline Flagged Muhammad Umer Masood and uncovered this gem:
         Muhammad is one of the Engineers that Lawson Boothe asked me to "coach" that he mentioned is from Iraq and I wrote months ago, based on the data on Travis Kalanick's geo-index, that I suspected that team was actually from Iran.
         The image above is also interesting because it shows that the entire (Iranian) engineering team of Vital Interaction created a ticket or a task for one "sprint" (each sprint was 6 weeks) and the sole purpose of the task was for the team to read and understand a framework I wrote for them as a proof of concept over a weekend.
         I am not saying this to say to imply that I had superior skills, but to show the problem with their economy model: they pay for access not for skills. So these agents, although they had gained the access, didn't have the skills to understand the technology in front of them.
         That's always their point of failure. The lack of understanding.

         H.M. Afnan Nazir and Chris Gowell Were Also Flagged By The Pipeline

         The pipeline also flagged H.M. Afnan Nazir and Chris Gowell on 01/22/2025.
         
         

         ---

    153. Susan Grady from WebMD / Medscape (sgrady@medscape.net) was Flagged by the Pipeline

         Mrs. Grady was the person that executed the "prospective client Demo" ruse on behalf of WebMD back in 2016. One image speaks louder than 1000 words:
         
         Mrs. Grady was co-clustered with Agents Hugo Diaz and Lawson Boothe.
         Risking to state the obvious: The whole WebMD/Vital Interaction ruse backfired spectacularly.
         

         ---

    154. Demo of Key Opinion Leaders Given By Luis With Agent Maxim Tarasiouk in Attendance

         During all this time and through-out all the instances of harassment, I haven't really commented or showed anything about the technology that the PayPal Mafia wanted to steal or supress this time. I've taken this approach deliberatly because I don't want my efforts to be perceived as a form of marketing or promotion.
         I will share one video of a demo to a prospective customer, so readers can see the technology that the PayPal Mafia supressed from the world by making it impossible for us to offer it to anybody and erasing us from Google:
         
         

         ---

    155. Netflix, Explained

         [01/22/2025] Netflix is really a promotional offer of the PayPal Mafia. In this promotion you get unlimited streaming of content basically for free, in exchange for giving the PayPal Mafia the public IP address of your home and a continuous supply of the "predictable HTTP Requests" the PayPal Mafia needs to be able to decrypt all the internet traffic of your home.
         In Plain English: if you use Netflix on a Network, basically the PayPal Mafia can read the emails, see the Google searches and everything else you do on any computer, phone or device connected to that Network. This is true for every single member of the household, even if they don't watch Netflix ( because they decrypt the network traffic of the entire network at the transport layer).
         For comic relief: When I realized this around 9 months ago, my solution was to buy a second Starlink Antenna, one to have the TVs and unimportant things on it, and one for the computers. The reason this is funny is because Starlink is under the control of the PayPal mafia, they can probably intercept my traffic without even flying the planes above my home.
         At this point my working theory is that the planes are just a distraction and to make it look like Starlink (and therefore Elon Musk) are not active participants of the criminal enterprise. But since we have Travis Kalanick's geo-index, we know for a fact that they own Starlink, and therefore they could probably just replay the traffic inside their datacenters without having to use any interception device, plane, dog walker, or anything external.
         Those planes were just probably to throw suspicion off, but at this point, I can even tell the percentage of ownership of each member on the criminal enterprise. The Falcons "thing" was funny though.
         Side note: This is also the reason why notalbe agents like Luis Anzola, and a couple of people married to members of my family, work at Starlink (the "Hire the target's family play"). Like when Emil Michael bought the company that employed Gloria (WorkRise). It's the same thing over and over again, they are not very inventive outside of the tricks they already know.
         

         ---

    156. Open Datasets Being Released Will Now Appear On Their Own Section

         We are repurposing the "Nuclear Era" widget on the right bottom corner of the page, to contain the open datasets being released in that convenient location (click here to see exactly where they are located).
         Note: The "Open Datasets" Widget is only visible on Desktop computers (screens at least 1280 pixels wide).
         

         ---

    157. Risking To State The Obvious: TikTok Was Flagged By Our Pipeline Months Ago

         I've made several jokes before saying that the PayPal Mafia is planning to fit their various autonomous robots with iPhones preloaded with TikTok, but I have nerver explicitly said it before, so I will say it now:
         TikTok IS THE MOTHER OF ALL THE ESPIONAGE WEBSITES. IT HELPS THE PAYPAL MAFIA ILLEGALLY DECRYPT ALL THE NETWORK TRAFFIC OF YOUR HOME.
         WHEN THEY DECRYPT THE NETWORK TRAFFIC OF YOUR HOME, THEY CAN READ ALL YOUR EMAILS, SEE ALL THE PLACES YOU VISITED, SEE WHAT PRESCRIPTIONS YOU TAKE, AND MORE. THEY CAN SEE EVERYTHING, FOR ALL MEMBERS OF THE HOUSEHOLD EVEN IF THEY DON'T USE TIKTOK. ALL THEY NEED IS ONE USER IN THE HOUSEHOLD TO BE ABLE TO DECRYPT THE ENTIRE NETWORK TRAFFIC.
         YOU NEED TO BLOCK TikTok ON YOUR HOME ROUTER SETTINGS NOW.
         DON'T WAIT FOR THE GOVERNMENT TO BLOCK IT FOR YOU. BLOCK IT YOUSELF.
         CONSULT YOUR WIFI ROUTER INSTRUCTIONS FOR HOW TO BLOCK A WEBSITE AND BLOCK THE FOLLOWING DOMAINS:
         1. tiktok.com
         2. *.tiktok.com
         3. www.tiktok.com
         4. edgesuite.net
         5. akadns.net
         
         NOTE: Practically all the houses that are on the public records tied to executives of TikTok (in multiple countries) are marked on Travis Kalanick's criminal ring's geo-index.
         

         ---

    158. Tesla

         Tesla has been flagged. The two Tesla vehicles I own are basically advanced espionage machines.
         They are so lethal as espionage devices, that I had to position the cars in the garage as far as I could from the living area of the house and install a series of devices in the garage: white noise and vibration generators pointing to the glass surfaces of the car, dummy cell phones and special courtains to mitigate their capabilities. I am not kidding, I ran hundreds of experiments with the cars.
         The question I am not able to answer is if they custom-fitted our two cars with all these espionage devices, or if every single Tesla vehicle out there has the same capabilities. This is a question I am hoping the FBI can help us answer.
         

         ---

    159. Donald Trump & The UFC Franchise have been flagged

         On the last run of the pipeline two entities got flagged: i) The entity representing Donald Trump; and ii) The entity representing the UFC franchise.
         

         Donald Trump

         Too many data points came directly from Travis Kalanick's index, this is hard data coming from a configuration file created by Travis Kalanick, there are no inferences here. One thing that caught my attention: A couple of weeks ago, there was a strange cluster of points in a mountain crest north of Las Vegas, it has a military-grade "evil score", it was documented and posted in the homepage at that time. I hypothesized at the time that that cluster must align with something important, but I didn't have the time to debug it and the area of Nevada is vast, it was a big task.
         Since Donald Trump was flagged by the system last night, out of curiosity I looked at the hotels owned by Trump in Las Vegas, and there is one that aligns perfectly with that cluster of points: The Trump hotel in Las Vegas.
         Co-clustering: The pipeline co-clustered Trump with the following entities:
         • Elon Musk
         • Pierre Omidyar
         • Travis Kalanick
         • Silvio and Alvaro Gutierrez
         • Francisco Castillo
         • Peter Thiel
         • Pete Hegseth
         • Marcos Rubio
         • Robert Gates
         • David Plouffe
         • Emil Michael
         • John Utendahl
         • Shervin Pishevar
         • Maxim Tarasiouk
         • Rafael Ramirez
         • Vivian Fernández de Torrijos
         • Denise Felipe-Adams
         • Doctor Mansur
         • Nelson Lara
         • Bianca Oreaga.

         The UFC

         A lot of data points on this one too coming directly from their geo-index. One thing that caught my eye though, there were a series of news articles and videos in which apparently Mark Zuckerberg was challenging Elon Musk to a cage match (or viceversa). This video was also picked up by the pipeline.
         Note: This Youtube video was flagged by the KOL-vaccine as a video that suffered attacks from Liana Technologies (I imagine they didn't like how they were being portrayed in the video).
         Related: I am going to start a GoFound Me campaign to try to comission a series of "Epic Rap Battles of History" videos to explain to younger audiences what is that these "geniuses" and "visionaries" have been up to for two decades without necessarily having to read through 1200 pages of documentation.
         But as they say ... "Success if optional, Entertaiment is guaranteed".
         True Story: In one meeting with Elon Musk, not too long ago, he said to small group of us: "What's the best place to burry a dead body?" And then he answered his own question: "On the 10th page of Google Search Results". He was right in several different levels.
         

         ---

    160. The Meta

         Meta, the company, in which Nam Gnuyen is the head of all engineering (very dangerous), has been flagged.
         

         ---

    161. The Butterfly Effect

         Something happened ...
         After Peter Thiel published that article that the pipeline picked up, in which he mentioned president-elect Trump, it affected the score of the entity representing president-elect Trump in our anomaly detection pipeline, and the score of president-elect is now above threshold.
         In plain English: President-elect Trump has been flagged by our annomaly detection pipeline. The pipeline co-clustered President-elect Trump with Peter Thiel, Pierre Omidyar, Travis Kalanick, Robert Gates, David Plouffe, Maxim Tarasiouk, Rafael Ramirez, Vivian Fernández de Torrijos, Denise Felipe-Adams, Doctor Mansur, Nelson Lara and Bianca Oreaga.
         As a side note: Pether Thiel got the "ironyBoost" score multiplier for talking about a "bioweapons programme" in that article. For more context look for: "Manzur" or "Doctor Death" without quotes on this page.
         

         ---

    162. Starlink has been flagged

         I am cetain they are collaborating with the low altitude airplanes. Won't go into the details of the experiments I have ran, but I will describe the experiments and the observations to the authorities.
         

         ---

    163. Peter Thiel (a/k/a "The Internet Nazi")

         Peter Thiel's offices are marked in Travis Kalanick's geo-index. Several of the companies he founded or funded have been previously flagged, just to name two examples: PayPal, Palantir.
         

         ---

    164. Fabrice Grinda (a/k/a Dr. Cooper)

         Risking to state the obvious, in the references below to "Fabrice" or the "founder of OLX" or the person that founded "a Free Classifieds site after his auctions site got acquired by eBay", I meant Fabrice Grinda, a/k/a Dr. Sheldon Cooper (I affectionately call him that way since the first time I watched "the Big Bang Theory").
         
         A photograph of fictional character Dr. Sheldon Lee Cooper, Ph.D., Sc.D (Jim Parsons) is displayed Side-by-Side with a photograph of Fabrice Grinda after receiving a plaque for making his 1500th startup exit, averaging one startup exit every 3 days (without taking the "Vital Proteins" suplements sold by Amazon).
         
         Fabrice Grinda was the person that ramped up the espionage campaign after I started beating his sub-par site "OLX" for many queries circa 2011.
         For comic relief (and I swear I didn't do this intentionally): On or around 2019 or 2020, agent Francisco Castillo started pestering me weekly asking me to "teach him how to write code". I was very busy fencing off the attacks from the criminal ring, and I understand now that he was just trying to increase his level of access to increase his pay grade, but back then I said "of course, we need more representation in this industry".
         Because I didn't have much time I asked my brother to give him classes, and I would assign agent Francisco a project to practice. So when he asked me what project I would assign to him, I literally said: "Okay, the most simple, dumbest idea that even a 1st grader should be able to program is a clone of: eBay / OLX / Craigslist, because there is no intelligence in that, it is just a database of products and a front-end" (and I am not over-simplyifing it).
         The only reason why eBay even still exists today, is because they spy and steal from everybody, and then harass the techonologists that want to do something better, and supress their sites using the CTR Attack via Akamai. It is the sum of all that, what eBay calls their "The Global Resiliency Group".
         The irony is that with the level of espionage they have had on me and my house/vehicles for over 18 years, I am pretty sure they must have heard all that =).
         

         ---

    165. The Taxonomy

         [01/08/2025] I was thinking about the commonalities among all these people that created this criminal ring, people like Peter Thiel, Pierre Omidyar, Travis Kalanick, Fabrice Grinda, etc.
         Besides the obvious, that they are all part of the "eBay Mafia", "PayPal Mafia", "Libertarians" (ironyBoost much?) or whatever is that they like to call themselves, I think there is something deeper here.
         So, I thought that in essence, what we are seeing here is nothing more than and old generation of software developers trying to stop the new generation from bearing fruit.
         But then I thought about other characters like Robert Gates, Edylberto Molina Molina, Peter Codallo and similarly situated who are also part of the same criminal organization, but are not software developers, are more like street criminals or drugs traffickers wearing military uniforms.
         Then I though about David Plouffe, Nelson Lara, Bianca Oreaga, who would be better described as Criminal Politicians, some of them from an even older generation than the "PayPal Mafia", and are now in their 70s.
         So, I realized "Software" should probably be removed from the equation:
         What we are seeing here, is nothing more than an old generation trying to stop newer generations from living and giving to their full potential.
         When I had that thought, my instict told me "that should have no place in Nature, all species protect their young for self preservation of the species".
         But then I thought,
         Well, some species do eat their young for a variety of reasons: i) Scarcity of resources; ii) To supress annomalies from the gene pool; or iii) Predative nature.
         I believe they are Predators.
         Reinaldo Aguiar
         Katy, Texas, the United States of America

         ---

         
         For context: This is the photo of the group that called themselves "the eBay mafia" or "the Paypal mafia" (they are interchangable terms) that was published by Fortune Magazine in 2007, right around the time the criminal ring started targeting me and my family on a campaign that has lasted 18 years and has escalated to a point where they have tried to kill me at least four times (that I know of) in the last 6 months (July - December 2024).
         
         

         ---

    166. The "Aid For Aids" Gala at the American Museum of Natural History

         
         Note: One of the Top-dogs in New York is the American Museum of Natural History at position #9 with a Travis-Kalanick-Evil-score © of 285, which would be among the highest on the Planet Earth.
         I am commenting on this because I was invited to a charity gala/event that took place there on April 2019. I was invited by people that have already been flagged. This is just a hunch, but it is possible Travis was at that event. Thinking this way because: i) The people who invited me pestered me weekly for months to make sure I would indeed attend; ii) Travis seems to like to wear Tuxedos (or 3-piece suits like the gentelman on the left side of the photos below); and iii) Because of the harassment campaign that has extended for years ... posting a couple of pictures that I took with my phone. Maybe this could be traceable and yield valuable leads via the guests lists / donations reported to the IRS:
         
         One of the main organizers of this event, is a venezuelan citizen that runs an organization called Aid for Venezuela (or Aid for Aids), that ran an event at one the Notable employers downtown. I donated $500 in one ocassion. That person seems like a common thread.
         

         ---

    167. What's With The Fist?

         I've noticed in some of the photographs that I have about these characters, that some of them seem to be making a gesture with their fist. Could be a coincidence, but seems to be always the prominent members. For one example, look at the photo from the "Aid For Aids" Gala (the one I took with my phone), for another look at the PayPal Mafia Fortune Magazine photo.
         I have seen at least six more examples, one of them recently.
         
         

         ---

    168. The Time The Stanford Prison Experiment Was Run for 18+ Years, And The Participants Went Nuclear (literally)

         I was thinking about all this last night and the whole group dynamics that played out on this, and I couldn't help but be reminded of the The Stanford Prison Experiment.
         For readers not familiar with the experiment: The Stanford Prison Experiment was a psychological experiment conducted in 1971 by Stanford University psychology professor Philip Zimbardo.
         The experiment examined how situational variables affect people's behaviors and reactions in a simulated prison environment.
         In the experiment, 24 male Stanford students were randomly assigned to be either prisoners or guards. The experiment was originally scheduled to last two weeks, but was terminated after six days due to the participants' extreme behaviors.
         In the experiment, the students that got assigned the role of "Guards" were given unlimitted power to do whatever they wanted to the students in the "Inmate" group.
         The result: The guards became cruel and sadistic, while the prisoners became depressed and hopeless. Zimbardo concluded that "ordinary college students could do terrible things".
         Other scholars hypothesized that the explanation for the extreme cruel and sadistic behavior, lied behind the group dynamics, in which the individuals with irrestrict power, acting as a group, lost sense of personal accountability for their actions and the lines of morality and law and basic human decency, just dissapeared.
         The problem here is that they were playing "Guards" for two decades or more with the rest of the world, with unlimitted resources and no accountability. And that's why they want to call themselves "Techno-Libertarians" and demolish all forms of regulation, because that would be opposite to the setup of the The Stanford Prison Experiment, which is the way they now believe the world should function. They have become institutionalized in that sense.
         I am going to start an opposing moving: The Techno-Regulators, whose purpose will be to provide governments with insights on areas where technology could be used to harm or target individuals and their individual rights and freedoms, or supress free speech (like they do with the Liana Technologies/Akamai Fake News Machine).

         How They Supress Free Speech

         For readers not familiar with the matter: The way they use Fake News to supress free speech is that they use AI to automatically generate thousands of "Fake News" online articles, and then they boost them all on Google Search Results by issuing Fake Clicks on Google Searches by automated means with the help of Akamai. The end result of all this is that they can position, say, 500 fake pages on the first 50 pages of Google Search Results, and then the site they want to supress ends up on the page 51 (position 501 or above) of Google Page Results (nobody scrolls that far on Google Search Results), so they effectively suppress the visibility of any voice they want supress that way.
         Still skeptical? Please try it yourself: Open Google and do a search for "Key Opinion Leaders" without the quotes and try to find our website on the results.
         True Story: In one meeting with Elon Musk, not too long ago, he said to small group of us: "What's the best place to burry a dead body?" And then he answered his own question: "On the 10th page of Google Search Results". He was right in several different levels.
         Reinaldo Aguiar
         January 11, 2025
         

         ---

         
         Side note: There is a good documentary on Netflix about the The Stanford Prison Experiment. People should watch it.
         

         ---

    169. The Automation of Your Startup Sales Pipeline

         According to unofficial reports, Elon Musk, Peter Thiel, Pierre Omidyar and Travis Kalanick are aiming to disrupt the sales industry with an innovative product (for the 50,000th time in 15 years).
         This time, these Titans of Industry, envisioned a future where the Bill Cossarts and Maxim Tarasiouks of the world, are completely obsolete.
         Why waste your time training, educating, assisting humans to help your startup get some sales in the pipeline, when you can have the "PPT-Robot" self-learn on the job and outperform them!
         According to sources familiar with the research, the robot is equiped with not one, but two iPhones preloaded with Tiktok, Alibaba, Ebay, Paypal, WorkRise, UnitedAirlines, UnitedHealthcare, the GirlsScouts and WebMD apps.
         It is as if Miko the Robot had a son with a Neato vacumm cleaner, and they fed their offspring (the PPT-Robot) with the "Vital Proteins" suplement they sell on Amazon.
         +
         =
         
         The company plans to offer a series of optional accesories (sold separately) like the 4-foot long walking sticks that are suitable for multiple field applications, and a robotic dog (Krypto) on a leash.
         

         ---

    170. The Oracle and SAP

         Oracle has been flagged. SAP was flagged with honorific mention. Tons of agents came to us via SAP: Luis Angeli, "Nuno", Susana Aguiar (all of them came from SAP Brazil).
         By the way, Calculado Health, the techonology Travis Kalanick stole with Alvaro, easily beats HANA (SAP's product for "data analysis"), as in it's at least 100x faster and costs about 100x times less money to run it at planet scale (and I am not self promoting, I have no reason to, Travis stole it years ago).
         

         ---

    171. 26711 Salt Typhoon Drive

         I haven't mentioned this before, but I have reasons to believe that the house in front of our headquarters, this house: 26711 Valleyside Drive, Katy TX 77494, has ties to the infamous Salt Typhoon group.
         

         ---

    172. The Time Goldman Sachs "Cancelled" The Stock

         Long story, but when I was negotiating the contract with GS (Adam Sale), I told them that I would not take the job if they did not guarantee me a pay of X amount/year. They agreed verbally, but then sent me a written offer that did not have the amount written (yeah, right). I rejected the offer.
         Then they sent me the offer with the amount written down. I didn't accept it, but then they published that press release on "Business Insider" saying that I had accepted the job, which basically forced me to accept it.
         Fast forward one year, and I get the surprise that out of that X amount/year compensation, something like 30% was going to be in stock. I wasn't happy about it, but I thought, well, what can you do.
         When I get the stock, I tried to sell it: Another surprise: you can't sell it, there is a restriction on this type of stock that you have to wait 5 years to be able to sell it. Again, I excercised patience and said: "Okay".
         Then when the Scott Westein & Sinead Strain harasssment campaign escalated to the point that I ended in the Emergency Room, I decided to quit.
         Before leaving, I asked the HR person (her name has a well-known Prominence marker, not kidding) if I was going to have any trouble with my already vested stock that I had already deposited in my Fidelity account. She said "No, there will be no problem."
         Fast forward 3 months after I left, Goldman Sachs reached into my Fidelity account and "Cancelled" my stock, effectively breaching the contract we had. They said in writing they would pay me X amount/year, and at the end of the day, they paid me only 60% of what was promised (because they lowered my compensation after I was there and then they cancelled the stock when I left). This is what caused me to file a complaint and ask for arbritration.
         Little did I know that the attorney I retained (Mark Siurek) and his paralegal (Sue) both are agents of the criminal ring (they were flagged before and were paid with real estate properties that I already identified and published on the site).
         Two things I saw in this "process" with Mark Siurek:
         1. When we were negotiating the settlement, which was peanuts compared to what they stole after I left, they made me sign an NDA with teeth. I didn't want to sign it, and I told my attorney I would not sign it, but then Mr. Siurek threthened to sue me (my own lawyer would sue me) if I did not sign. He said I was being unreasonable and because he worked on a contingency basis, I was getting in the way of him getting paid, and he would seek relief (or something to that effect he said).
            I signed the NDA under his pressure. I recorded that meeting by the way.
         2. When we were on the supposed "arbitration" meeting, Mr. Suirek locked me in a small room for a big portion of the day, in this room there was a white webcam, very large, ball-type, pointing straight at my face. I felt uncomfortable by it, it was very intrusive. Mentioning this because I saw the exact same type and brand of webcam, positioned in exactly the same manner towards a chair where I was going to sit, years later: At Lisandra's Nails.
            Lisandra is a Cuban Intelligence Officer that came to Texas after a brief stay in Venezuela, she is, of course, marked in Travis Kalanick's index. I was referred to Lisandra because she suposedly was someone who could help me with a problem I have on my foot from running long distances, but it was just a way to get me there so they could intercept my phone's internet traffic.
            Risking to state the obvious: All the people that made payments on Lisandra's Point of Sale on or around the time I did: are probably agents of the criminal ring. The Point of Sale was a Square terminal I believe (but I am not completely sure). It was a white terminal with a touch screen, the charges should be on my Chase Visa.
         
         

         ---

  • All the IP-to-GeoLocation Resolution Services

    Are under their control: IpInfo.io, whatismyipaddress, ip2location, IPStack, **all** of them.
    This is a vital tool needed to fight their Akamai CTR Attacks, so they bought them all out.
    I had to develop my own service and deploy it on Google App Engine to be able to develop the KOL-Vaccine, but in the process, I came to the realization they have agents in the Google AppEngine team too.
    

    ---

  • 2500 Jackson Pike, Columbus, OH 43223, USA
    Musk-Thiel-Omidyar-Kalanick-Evil-score: 804

    This address is interesting to the pipeline for many different reasons, but I don't have the skills or training to debug this one. Posting it in case anyone out there is qualified to put forward an hypothesis that could explain why is this location important to the criminal ring: 2500 Jackson Pike, Columbus, OH 43223, USA.
    

    Frasier

    This is an interesting cluster too: The Frasier Cluster
    

    ---

  • TechCrunch

    TechCrunch was flagged. The pipeline co-clustered it with Travis Kalanick and Peter Thiel.
    

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  • The Time Robert Gates, Former (Un)Secretary of Defense, Said On Netflix That Putin Is Obsesed With Ukraine And Wants To Recreate The Russian Empire

    So, I was watching netflix looking to instruct myself on International Affairs, after all, that's where I got all my "military techniques" to beat Robert Gates before, so I thought it could help me, but then I found this gem:
    
    Source: "Turning Point: The Bomb And The Cold War", Release year 2024, Episode 1, time position 02m:08sec.
    I am going to have to create a Quadratic version of the ironyBoost multiplier now.
    

    ---

  • The "Musk" Prominence Name Marker

    Well, well, well ... according to The Founders List, Peter Thiel would not be the leader of the ring, would be more like a servant of the leader the ring.
    I still have to debug The Founders List in depth to understand what it really means, but one think that caught my attention, was that the #1 Top-Dog in The Founders List is this Address:
    10459 S Muskegon Ave, Chicago, IL 60617, USA
    Note: By just replacing one character in the steet name, the street name could be transformed into "Musk Elon". The street name alone could have been a coincidence, but if we add that to the fact that this property is marked in Travis Kalanick's geo-index, with an "Evil score" of 400+, which would be military-grade according to our research on their systems, and on top of that being a business called "Applied Protein Systems" when we already know that "Evil Proteins" is a "thing" ... they would be too many coincidences.
    The interesting part is that according to Google Maps, this address belongs to a business called "Applied Protein Systems", you know ... like the evil "Proteins" they distribute on Amazon to physically harm their targets.

    The Dilema

    The dilema lies on that I need to decide if I should do yet a fourth rebranding of the Evil score.
    

    ---

  • The Pipeline Is Becoming Self-aware: "The Founders List" - Part I

    It produced an interesting list, I will debug in depth but posting it for now in case it helps:
    The Founders List

  • 01/19/2025 @ 12h58

    Exact location: 29.758039169090868, -95.80566406940198
    
    Experiment setup: The car stood there (not moving) until I created one network event on the Starlink network, when I did that, the car immediately moved. My hypothesis is that the car was there just waiting to intercept something on the downlink, and they have a feedback mechanism that tells the driver that he can move on after the traffic event is captured (the driver moved in less than 10 seconds after I triggered the network event).
    

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  • Candidate List #38740103484776

    Please see Candidate List #38740103484776
    

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  • Teams At Google Where The Pipeline Belives They Have Agents

    The following Teams at Google have been flagged: Human Resources (People Ops), GWS, Gmail, Calendar, Google News, Youtube Search, Google Images, Artemis in Boston (they even interviewed me, I created Artemis), Topic Server, Mustang, Qref, Localweb/Local Ranking, Superroot, Qrewrite, Google Analytics, Webmaster Tools, Ads, Google Cloud, Google App Engine, Google Keep and Google Docs.
    

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  • "Aid For Aids" and "Aid For Venezuela" Have Been Flagged

    Mentioned multiple times before in different contexts. Also: The Venezuelan man that runs those organizations looks like a clone of Travis Kalanick (for some reason). Maybe he is one of those they use as doubles to replace the subject when they get in trouble (yes, of course I know I about that, I have pictures of several doubles).
    

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  • The VPN Services

    They own them all. These ones I verified got flagged:
    1. ProtonVPN and ProtonMail: Major vehicle of espionage and attacks against Google. The same thing they do with Akamai they do it with ProtonVPN servers.
    2. NordVPN
    3. HMA VPN
    4. SurfShark
    There are otheres, I will post those later, need to re-rank them with the latest production scorers.
    Note: The VPNs are a major channel of espionage for them. People that use VPNs are usually concerned with privacy. People concerned with privacy, chances are that are people that either have something valuable to protect or have something aweful to hide, either way, it's gold the criminal ring led by Peter Thiel, that's why it's a major investment area for them.
    

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  • The "EE" British Mobile Operator

    "EE" has been flagged. According to the signals I see in the pipeline derived from Peter Thiel's geo-index: Peter Thiel basically owns that company. VERY Dangerous to the world.
    

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  • The Correlation Between Key Opinion Leaders Publishing Articles On Prominent Media, and Reinaldo Being Terminated From Twitter

    [01/17/2024] Thinking about what I posted yesterday about Twitter, Elon, etc; thinking in retrospective, there seemed to be a connection between a series of articles we published on prominent media and me being terminated at Twitter.
    Around the time I re-joined Twitter (I was out on Parental leave), I started publishing articles in prominent media to promote Key Opinion Leaders. I published articles in sites like: Forbes, Miami Herald, Infobae (Mexico, Argentina), and dozens of other top-ranking news sites.
    Publishing these articles was expensive (for my standards and financial means), some articles could cost US$ 1,500 but some others could be as expensive as US$ 6,000 (per article). The price varies depending on the reach/audience of the site.
    I believe I spent close to $60,000 publishing those articles, the format of the articles was what we call in the industry "List-icles", these are news articles that contain lists of the form "The 10 most Influential Personalities in [Insert Topic HERE]".
    Since our technology does precisely that: Rank people, I had basically infinite ammunition. I could produce these listicles for any topic, in any language, targeting any country I wanted, and with an amazing precision (the results are amazingly good and I am not self-promoting).
    At the begining I was publishing articles only about the medical field, for example: "The 10 Cancer Researchers More Influential in Mexico", but the moment I started publishing articles about topics outside of the medical field: I got fired from Twitter.
    I didn't get terminated for competing with Twitter, Key Opinion Leaders is not a social media platform, it is a search engine thar ranks entities for topics, I simply got terminated as other people were being terminated because Elon took over the company and was restructuring it.
    But looking back at things, the timing of me receiving the termination exactly when I started publishing articles trying to break into the ranking of personalities, well, I can see how that could have been Peter Thiel/Travis Kalanick as a way to cut my income (to limit how far I could get).
    And cut my income they did, I haven't produced one dollar in almost two years, while I've had to spend an anormous amount of money to (literally) survive the attacks of Peter Thiel, Pierre Omidyar, Travis Kalanick, Dr. Death, Dr. Marjorie Broussard, Dr. William E. Lane, Edylberto Molina Molina, and thousands of their criminal agents.
    That said, in retrospect, I am glad all this happened. I wouldn't have captured their Geo-index if it had been otherwise =).
    

    ---

  • These Retailers: Costco & ROSS

    Both have been flagged by our pipeline, nation-wide, all stores.
    

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  • Mayor Eric Adams has been flagged

    [01/17/2025] Too many data points to list here. Mayor Adams was co clustered with this set of well-known agents: Denise Felipe-Adams, David Plouffe, Doctor Mansur (a/k/a/ Doctor Death), Nelson Lara and Bianca Oreaga.
    Note: Denise Felipe-Adams, who has family ties to Mayor Adams, requested a demo of Key Opinion Leaders via Nelson Lara. The Demo was given. Denise Felipe-Adams was tagged with the "Prospective Client Ruse" and the "Hine's Algorithm" tags.
    

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  • Block

    Block, the company, was flagged by the pipeline. The signals I am seeing, puzzle me. This one looks different than the others. I need to debug this one deeper.
    

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  • Giuliani

    Several addresses that, according to public records, are tied to Giuliani, are marked on Travis Kalanick/Peter Thiel's geo-index.
    

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  • Hindenburg Research

    Hindenburg Research was flagged by our pipeline.
    

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  • The Mysterious Truck Attachments seen on Lake Pointe Estates, Katy, TX

    Posting this in case any law enforcement agency is following the situation.
    I would like to point your attention to the vehicles driving all day in front of my house 2302 Britton Ridge Drive. You will notice all of them have some sort of attachment on the back. It could be Pool Vacumm with wheels, or it could be a trailer, or ramp with wheels etc.
    These vehicles all are likely to be spies trying to catch the downlink of our Satellite connection, for reference: our Starlink antennas are located within the entrance cache of my house on the wall behind the Arc.
    The reason they drive with that attachment is because I have two license plate readers installed outside, one facing on each side of the road. So this is just a way for them to hide their license plate, which is silly because it makes it obvious that they are working for the criminal ring, and that the house that let them in into the gated subdivision, is owned by Peter Thiel & Co.
    So I will take the opportunity and post other well known houses in the subdivision:
    1. 2210 Britton Ridge Dr, Katy, TX 77494
    2. 24927 North Point Pl, Katy, TX 77494
    3. 24926 North Point Pl, Katy, TX 77494
    4. 24918 North Point Pl, Katy, TX 77494
    5. 24910 North Point Pl, Katy, TX 77494
    6. 24902 North Point Pl, Katy, TX 77494
    7. 24818 North Point Pl, Katy, TX 77494
    8. 24810 North Point Pl, Katy, TX 77494
    9. 2219 Braer Ridge Dr, Katy, TX 77494
    10. 2227 Braer Ridge Dr, Katy, TX 77494
    I will post more later.
    

    ---

  • I Understood Something: They Were Planning To Sue Me From Twitter

    There is a pattern I understood yesterday, it's about how they assign assets to the companies.
    The Pattern is: Public Companies (that trade on the stock markets) accumulate liquid and tangible assets, while private companies accumulate Intellectual Property.
    I believe they do this to avoid making the same mistake they made with Uber, were the Intellectual Property became property of Uber, and therefore of its shareholders.
    Instead, now they accumulate the intellectual property in the private companies (because they and their private equity firms are the shareholders) so no members of the public have any claim or ownership of the IP.
    With this in mind, I recognized that I made a mistake before when I wrote that I thought H1 was a fake company. It is probably not fake, they did want to develop the technology there. That's why the company is private, and that is why they moved Mayur and Shreeneath to that company. It is also why it is called H1.
    Not sure if readers would recall when I wrote that Travis Kalanick named one his companies CSS because that is the second most common token in the Google Index (second only to "html") which makes the company impossible to find in google searches.
    Well, after "html" and "css" the third most common token is probably "h1". In HTML markup language it signifies "Heading 1" or "the title of the page". Almost all webpages in the world have two occurrences of the token "h1". That's why he called H1 that way. The same old trick (Travis doesn't have many tricks).
    I believe that's also the reason why Travis was making an offer to hire me, but only at 0.15% equity in exchange for four years of work. Because he couldn't stand me having any significant ownership in one of "his" hundreds of companies.
    With all that in mind, what I can see is that the move to buy all the stock of Twitter and take it private, is probably because they wanted to accumulate an important piece of Intellectual Property there, or at least make the claim that Twitter owned the IP. This is David F. Hine at his best, creating a contingency plan.
    

    The "Everything" App

    The pipeline picked up some public articles in which Elon made comments to the effect that he wanted to turn Twitter (now X) into the "Everything" App. He mentioned the app would allow users to Message privately, Book rides, Send or receive crypto, function as a debit card, even offer credit services like digital credit lines and credit cards. It would be the first truly universal app.
    Mentioning this because if I think about it, that description does sound a lot like an alternative version of the Evil App of Travis Kalanick but being open to the public. For reference see this sample article.
    

    ---

  • The Exes

    There is a topic I have avoided touching because I think it could be either misread, or could be weaponized by the cirminals. It's related to the femme fatales that the organization likes to employ, as what seems like a central peice of their "recipe".
    The comment, although obvious, I think needs to be made: It is possible that either past or future romantic companions of the agents, are likely to be either targets or agents.
    One particular example that comes to mind, is the ex-husband of agent Jillian: Let's call him "Bob" (I am changing his name to protect his privacy).
    If one describes Bob, knowing what I know today, I would put my money on that he was a target. Let's give it a try:
    Bob is a foreign citizen (from the same country as one of the leaders of the PayPal Mafia) that came from an affluent family. Bob was working on a startup idea in the late 90s that although sounds simple today could have been revolutionary at the time: Bob had the idea to create a Microsoft Execel integration pluggin that would allow users to trade stock on different stock exchanges, right from Microsoft Excel!
    But as fate would have it, while being in his home country, Bob met by pure chance this incredible American woman, Jillian, who was passing by on a short trip (or was in a University Exchange program, I can't recall). They immediatly fell in love, it was love at first sight. Bob decided to move to New York and shortly after married Jillian, they had kids.
    Bob startups never seemed to pick up, it didn't matter how much time, effort or money he poured into the ideas, he just wouldn't get traction, the prospective customers showed interested but they never really bought anything.
    Ultimately, after a few years of marriage, one day, agent Jillian left her hotmail account open by mistake in the living room computer, and Bob "found" a series of emails that made it clear that Jillian had been having an affair with a much older man that was very succesful in business. Bob filed for divorce. Agent Jillian moved on with her life and focused on her next project.
    

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  • SOAPSuds, NEBIUS, BluePrint.ai and Talkdesk.com, PatientNotes.app, Clinicalnotes.ai, Deepscribe.ai and HeidiHealth.com Were Flagged

    These companies were flagged as part of the Healthcare vertical pipeline run of 01/15/2025.
    These are very dangerous items. Please see the entry titled: The EMRs and the Companies that "Integrate" with the EMRs, in the Archive.
    

    ---

  • Elon Musk Was Flagged (With Honorific Mention)

    I have to say, I am what people would call an "Elon Fan". I own not one but two Tesla vehicles, not one but 3 Starlink Antennas, well, you get the idea. I once helped him save 48 Million Dollars per year and he sent me a "thank you" email, it was one of the best days of my life.
    But as fate with have it, Peter Thiel insisted in harassing me for months with Venezuelan Unregistered Agents while I was out jogging, and that allowed me to see the patterns in the interception points used by the pedestrians and that ultimately helped me get to the conclusion that they must have been using an App very similar to Uber and that that App was using a geo-index to store these points.
    Since I knew the points from observing how persistent they were in trying to get close to me as I ran through the streets, well, knowing the locations coordinates, and mixing that knoweledge with my "google searching abilities", I found where they had hidden the index on the Internet, and downloaded a copy.
    Fast forward two months, I had developed a search engine to plug on top of their geo-index to rank the locations. As it turns out, the genius visionary of Travis Kalanick, not only stored in this geo-index the interception points, he stored EVERYTHING, the houses their organization owns, the locations of their illegal antennas (illegal in eyes of the FCC), even the locations where prominent and well-known crimes took place: like a guest house in Jeffrey Epstein island, the place where there was an attempt against president-elect Trump, Diddy's Party Mansions, among others. Kalanick also used the same geo-index to store military positions used by the Russian military in conflict zones and secret underground bunkers built by the Iranians near their border with Afghanistan.
    You see, Kalanick fell victim of his ego on this one, he wanted to make his app be "The Everything App" for everything the criminal world would need to function, he wanted his app to be at the center of it all, thus becoming what we call in the business: a "single point of failure". And it failed alright, it got captured by me, an ex-google engineer with decades of relevant training that allowed me to decode it in less than 4 hours.
    Based on this same geo-index, our KOL-Vaccine Anomaly Detection system, flags companies and individuals using data analysis at masive scale.
    Saying all this to explain that through a series of data points that come from hard data derived directly from Travis Kalanick's geo-index, plus a mixture of public records and news articles from prominent media covering the entire espectrum of public opinion, our anomaly detection pipeline flagged Elon Musk, months ago, for a variety of reasons.
    I have only made mentions of the Boring Company before, because the potential danger of letting foreign powers dig tunnels underneath US cities, but I have not made any mentions about Elon Musk on this site.
    I was reflecting today on why, despite knowing he has been flagged I have avoided to make mentions. I think the answer is really a multi-part answer. I think in part, there is a component of fear, as this is the richest person on the planet, and with that level of money comes a great deal of power.
    There's another component that has to do with aspirational self-reflection, sort of Elon being a role model for me in some specific ways.
    And I think there is another component that has to do with disbelief that everything was fake, even his acquisition of Twitter. This is a bit hard to put into words, I don't know if this would even make sense to someone reading this from the outside, but if Parag was an agent, and KKR / Blackrock and the alikes pressured Dorsey to step-down so that Parag could take over and sell the company, what need was there for the supposed "fight" between Parag and Elon over the sale of Twitter if Elon was an agent all along?
    I guess what I am trying to say is that the sense of deception, if I accepted all those as realities, would be so big, that I would feel like I a "dumb" individual. And I think my brain is resisting to accept that reality.

    Elon's "Everything" App

    The pipeline picked up some public articles in which Elon made comments to the effect that he wanted to turn Twitter (now X) into the "Everything" App. He mentioned the app would allow users to Message privatly, Book rides, Send or receive crypto, function as a debit card, even offer credit services like digital credit lines and credit cards. It would be the first truly universal app (and the first bank with 100% coverage of the planet).
    Mentioning this because if I think about it, that description does sound a lot like an alternative version of the Evil App of Travis Kalanick but being open to the public (minus the spy routing features). For reference, please see this sample article.
    

    ---

  • The Donation of the Rubio-Hegseth-Bundi Dataset

    I decided to offer as a data donation to the world, a small dataset containing the topdogs with scores surrounding the houses identified on 01/15/2025.
    I am donating this dataset because the geo-features of the area near Mr. Hegseth's house are astonishly similar to the geo-features of the areas near the house of Robert Gates in West Los Angeles, and both occupying the same critical office in the US Military world, it gives me goosebumps just to think of the amount of intelligence a qualified agency could extract from this dataset.
    I really hope they do they "worst", if people know what I mean.
    I humbly offer the Rubio-Hegseth-Bundi Dataset (51,149 topdogs combined)
    

    ---

  • The Fall From My Bicycle Circa 2019

    On or around 2019, I took on Ciclying as a hobby. I didn't do it much, just every now and then.
    At some point, I suffered an inexplicable fall on Cinco Ranch Boulevard. To this day, I don't know how is that I fell from the bicycle. I must have flown probably 10 to 15 feet until I fell on the ground. I could have seriously injured myself, thankfully, I walked away from the incident without major injuries.
    Looking in retrospective, it looked a lot like the fall I suffered while jogging, and this point in Cinco Ranch Boulevard in Katy, is also marked in Travis Kalanick's geo-index. But it could be just a coincidence because they did put a lot of points on Cinco Ranch Boulevard, Katy (because I used to take that route to go everywhere everytime I left my house).
    

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  • Sonos Has Been Flagged

    Was clustered with Bang and Olufsen on 01/15/2024.
    

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  • 24903 North Point Pl, Katy, TX 77494: The New Starlink Jamming Device Installation Saga: Chapter III

    
    I wonder if agent Phill Denning asked for an architectural review and board approval for the installation of this bespoke antenna. For comic relief: In one of his emails, agent Phil Denning went as a far as to assert that the military grade antennas in the subdivision were Okayed by the board after they checked the FCC Regulations and determined the antennas were acceptable. When I read the email, something in the writing made me think of "David F. Hine".
    
    In a different email, agent Phil had said previously these were old "40-year old DirecTV Antennas" (but the subdivision was built only 21 years ago), so I imagine he was implying that all these houses antennas were all moved from an older subdivision en-masse and all were relocated and installed on Lake Pointe Estates, Katy TX for some reason.
    These people don't think much before writing those emails. They really underestimate the rest of us.
    

    ---

  • Marcos Rubio

    The KOL-Vaccine detected that house that, according to public records, is believed to be tied to Senator Marcos Rubio: 6060 SW 13th St, West Miami, FL 33144, is marked in Travis Kalanick's Geo Index:
    

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  • Pete Hegseth

    The KOL-Vaccine detected that house that, according to public records, is believed to be tied to Pete Hegseth: 3057 Patton Branch Rd in Goodlettsville, TN, is marked in Travis Kalanick's Geo Index: Important Note: The house and location of the house of Mr. Hegseth, shares a lot of commonalities in terms of geo-engineering features with the house of my mentor Robert Gates, former unSecretary of Defense, extensively documented before. Also: This area of Goodlettsville, TN, shares a lot of properties/features in terms of geo-engineering that seem to be present on the area of West Los Angeles where Robert Gates has that property referenced above. Also: In this area of Goodlettsville, TN there is a high concentration of Topdog addresses that align with Iran on Latitude. Long way of saying: Goodlettsville, TN might be the "new" West Los Angeles.
    This might be an important observation because it could tell us 3 things: 1) When they started setting this up; 2) How long does it take to set this up; 3) the "mix" of Intelligence/Medical/Engineering personnel this version of the cluster takes (the military leadership version of the cluster). We can extract the "recipee" of this from the commonalities of the two areas (they wouldn't repeat the commonalities for random reasons, there must be important reasons for that).
    

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  • CenterPoint

    Risking to state the obvious: Center Point was flagged manually almost a year ago, and then confirmed once we developed automated systems. The criminal ring basically "owns" CenterPoint. We even have footage of CenterPoint work trucks parked at prominent Topdog houses in katy and helping them cut off the public lights from their streets (to make their cars less visible to the KOL-Vaccine mobile cameras).
    Details about the incident described above: Location: 54 Wyndehaven Lakes Drive, Katy, TX 77494. CenterPoint Energy Truck "3923" with plates TX 114-1978 / TX 1L4-1978 . The notable vehicle TX TLV-6239 was parked in the driveway.
    Centerpoint has operations in Teaxas, Louisiana, Ohio, among other states, but these three are major operational bases of the criminal organization.
    Note: "Center Point" is a synonym of "Hub", a well known name marker (Grubhub, Hubspot, Stubhub, etc).
    According to Wikipedia (the Knowledge-base of the cirminal ring): "Hub: A hub is the central part of a wheel that connects the axle to the wheel itself".
    

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  • Our Response To The Helicopter Fly-by of 01/15/2025 @ 12:39CT: Pam Bundi Has Been Flagged

    The KOL-Vaccine detected that house that, according to public records, is believed to be tied to Pam Bundi or an entity under her family's control is marked in Travis Kalanick's Geo Index: 4420 Argyle Ln, Tallahassee, FL 32309, USA.
    Side note to Peter Thiel: Keep bringing low altitude aircraft, I have no shortage of names that are flagged, we can do this for the next year if you'd like.
    

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  • Hellicopter Flew By At Low Altitude at Approximately 100 Feet Ground Distance
    [Event Date: 01-15-2024 at 12:39 CT]
    [Exact Event Location: 29.757442518804744, -95.80664868280581]
    They bring the Hellicopters when they are really desperate, or really upset.
    One of the ocupants seemed to be looking towards our house using vinoculars, he was looking directly at the windows inside the Entrance Cache (I have a telescopic camera installed inside the Entrance Cache, looking up on the path on the Antenna).
    Note: They have cut the electricity of the house for a few seconds, three times in the last two days. I've seen this pattern before, they were doing that with the Chinese house at 26711 Valleyside, when they were assesing whether to break in or not before I moved out of Valleyside Drive at the end of June 2024.
    I will post my response to this in a few seconds.
    

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  • Vision Estrategica Americana

    Vision Estrategica Americana has been flagged. Source: https://fesei.org/ad/resumen-vision-estrategica-de-los-estados-unidos-de-america/
    Might be related to this organization:
    Address: 25230 Diamond Ranch Dr, Katy, TX 77494
    Phone: (346) 775-5741
    
    Side note: "Diamond" is a well-known street name marker in our system. That person in the picture might be a Topdog in Katy, TX. "EHurtado [at] inseal.us" and "‪(346) 775-5741" have beenf flagged for months, and tagged with the tag SEBIN.
    

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  • I Will Break My Own Policy, Today

    [01/15/2025] I have a policy of not revealing too much about the inner workings of the KOL-Vaccine systems because, well, for obvious reasons.
    I will make an exception today because this has been on my mind, and I think it could be pretty dangerous.
    One part of the pipeline works by analyzing satellite imagery that is publicly available (for example, Gogle Earth satellite tiles). Those tiles are a gold mine of information, there is so much informtation that can be extracted from them to detect anomalies. For example, our system and methods recently detected this underground bunker in Iran close to the border with Afghanistan.
    I am mentioning this because there is a company that worries me, in part because of what they are doing, in part because what they have said they plan to do, and in part because the company and important figures tied to the company have been already flagged saturating the scores:

    The Boring Company: Exavating tunnels below major cities in the US.

    Risking to state the obvious: If the Chinese, The Russians, the Iranians, and the Venezuelans got their hands on the Boring Company, they could hide ANYTHING under US cities, interconnect their communication networks in ways that would not be visible nor interceptable (as they are today with the trampoline antennas). The US would lose this war, forever.
    I don't want to sound dramatic, but I do belive we are at war. We may not see the bombs dropping from the skies, but to me, this definetly looks like a war, and many of their actions can be categorized as Acts of War according to international law, I believe.
    

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  • 3202 Sumac Drive, Katy, TX 77494

    This address has been flagged by the pipeline: 3202 Sumac Drive, Katy, TX 77494. It is one VERY important address in the Katy, TX in terms of the operation of the criminal ring.
    The system "believes" this address is tied to a man in the medical field that has been a direct player in the operation of Unregistered Foreign Agents in Katy, TX, for several years. Possibly dating back to 2016.
    

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  • 1 514-766-7771 has been flagged.

    
    

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  • 1 917-771-2931 has been flagged.

    
    

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  • (917) 770-0221 has been flagged.

    
    

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  • 1 773-517-3111 has been flagged.

    1 773-517-3111 (Additional Data Point: Was at GS and then at Twitter at the same times as Reinaldo)
    

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  • The Mysterious Silver Compact Car with License Plates: TX GWW-6445 or TX BS9-C885

    The License plates I recorded manually because back on the day the KOL-Mobile as we know it today, didn't exist.
    But this vehicle was parked outside of 3218 Scout Island, Katy TX 77494 on March 17th 2024 at 12:03pm Local time. That vehicle is flagged in our system and is a notable vehicle in the Katy, TX Area. We believe is tied to either the Venezuelan Inteligence / SEBIN (e.g. Francisco Castillo) or Cuban Intelligence (e.g. Alvin Cantero).
    

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  • The Candidate Area #19125

    This is an area that has some interesting properties, so I ranked the locations with both Production scorers, the output is here: Data Export for The Candidate Area #19125: 5,400 Spy Locations Ranked
    

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  • Japan

    I would like to offer this dataset as a data donation to the Government of the Japan:
    3.4 Million Spy Locations identified and ranked in or near Japan
    

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  • Juniper Networks Was Flagged by The Pipeline

    On the run completed on 01/14/2025 4:56pm CT.
    

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  • The Note I Want To Be Cautious About

    [01/14/2025] This is a delicate subject. It's about Internet, Online Advertisement and Fraud.
    I want to be cautious because people could be quick to make conclusions and may put blame on companies like Google, Microsoft, etc. I want to be very clear that, in my humble opinion, the blame on what I am about to write should be assigned to Peter Thiel and the rest of his gang, not Google.
    The comment is about the mechanics of the CTR attack to promote fake news. The way the CTR attack works is by injecting fake impressions with no clicks on the target they want to demote (like www.keyopinionleaders.com to name one example), and then injecting fake (automated) clicks on their pages (like WebMD.com, definitivehealthcare.com, ebay.com, kijiji.ca, craigslits.org, autotrader.com, and all "Internet Brands" websites really).
    The unmentioned implication is that, in the same way they can trick the bot-detection filters that search engines have to click on search results by automated means, in the same way they can also click on the search ads ....
    The way they weaponize that is in three different ways:
    1. They Click on ads of Advertisers that are placed within their own sites, getting paid for clicks that are not real. This is how WebMD drives 3 Billion USD per year in online advertisement revenue from Google. They are effectively defrauding the Advertiser first, and Google secondly, but the most hurt is the advertiser.
    2. They Click on their competitors Ads, to make them exhaust their budget in exchange for zero or little real visitors (making them ultimately abandon the campaign)
    3. They Click on Ads on keywords they are targeting on their sites, for two purposes: 1. To drive the prices up because it is an auction system and therefore their pages produce more money; and 2. Since the prices are inflated, it creates a higher barrier of entry for competitors like me who would not bid $25 per click on Google Ads because we don't have the money to pay those prices. So they "protect" "their" markets from any competition via Google Ads.
    Note: I ran experiments with them spending my own money on campaigns just to run experiments with their bots and I scientifically verified all of the above. This was done to reverse engineer how they implemented their system which led to the development of the vaccine. It is like when researchers incubate a virus in a lab, same idea, they were the virus and www.keyopinionleaders.com was the lab, and all that is what brought us all together to this point today.
    I feel for the many entrepreneurs they defrauded this way for over 15 years to the tune of 100+ Billion USD without adjuisting for inflation (I did the math).
    On the bright side, the Internet is going to be VERY interesting place full of opportunities and advancements, once these criminals are out of circulation. I imagine it is going to be as if you represed energy in a system, for 15 years, and one day, that barrier is no longer there. Explosive growth.
    But, the world needs to learn from past mistakes: we need to put in place effective regulation on the Industry this time. It is clear that this is a medium that can lead to oppression, enslavement and tyranny, if left unregulated.
    At the same time, we need to be careful that regulation doesn't turn into a mechanism of oppression and supression.
    It's a fine balancing act the one the world will have to make.
    Reinaldo Aguiar
    

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  • Nintendo

    I don't know if it is all Nintendos but at least Sebastian's Nintendo Switch makes the predictable requests Travis Kalanick loves (I bench tested it). The most prominent Nintendo stores are marked in Travis Kalanick's geo-index.
    

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  • The Bucees

    [01/12/2025] I would like to give visibility to this piece I wrote a while ago about something I suspect it is a scheme they run to launder money in the US by inflating the prices of Gas in the gas stations they own: The Inflated Gas Price scheme.
    In Katy, TX, I believe the "Mother of all Laundry Machines" is the Bucees Gas Station that is located at 27700 Katy Fwy, Katy, TX 77494. I did several drive-by's with the KOL-mobile and collected license plates there and ran some computer models on the movements of the cars and was definetly abnormal for several different reasons:
    1. The influx of cars could not justify the number of cars filing gas
    2. The number of cars at the pumps, relative to the number of cars passing at the time of the drive by on I-10 (I measured it), would imply that basically all the cars would have to get into the bucees for a period of 20 minutes at that time, to justify the number of cars.
    3. The prices seemed inflated
    4. An abnormally high number of cars (even for Katy) that were present at the gas station during the drive-bys, were previously flagged by the pipeline.
    5. The number of visible faces (to the cameras) was almost zero (despite there being hundreds of cars and hundreds of people), so almost all of the people at the gas station applied the "turn yourself looking on the opposite direction" or the "pick something from the floor/car" manouvers when the KOL-mobile passed by. It was comical. I have the recordings with 4K resolution/quality.
       

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  • To Return Personal Accountability To The Individual Agents

    Publishing here the lists of addresses that are marked in Peter Thiel's Espionage App (with their scores) and fall on streets with names that contain four (4) of the Street Name Markers our system has identified (we have many more):
    Street Name Marker: Shadow (2,427 houses)
    Street Name Marker: Royal (10,029 houses)
    Street Name Marker: Village (18,167 houses)
    Street Name Marker: Island (19,864 houses)

  • Goldman Sachs

    [Updated on 01/14/2025] I have until now avoided explicit mentions to "Goldman Sachs" because they, using an agent that is a lawyer (Mark Siurek) and another agent that is a mediator, made me sign a Non-Disclosure agreement with teeth when I filed an arbitration claim against them for breach of contract.
    But after thinking about it a bit more, I decided that that is a risk I need to take for two reasons: i) Goldman Sachs is the mother of all the spy operations (and I am saying this both based on Peter Thiel's geo-index and based on my own experience working there and being harassed by Scott Wesintein & dozens of other individuals in exchange for illegal payments); and ii) The potential this company has to cause damage to the world is so big, that it would be a crime not to warn the world (case in point: see the 1Malaysia Development Berhad scandal in Wikipedia).
    Long way of saying: Goldman Sachs has been flagged by our pipeline for months. One imporatant data point: their offices are in the Channel00 (I haven't disclosed this but there is a channel 00: addresses ending in 00). Some notable examples: 1000 Texas Ave, Houston, TX 77002 / 200 West St, New York, NY 10282 / 200 Chambers St. New York, NY 10011.
    Note regarding 200 West St, New York, NY 10282: There is an interesting backstory to the "200 West St" building and how it was acquired. They make sure to mention this story to every new employee to convey how the company is ran by financial wizards and geniuses. I might be a bit fuzzy on the details, but from what I recall, as the story goes, during the mortgage crisis of 2008 (or it could have been the 9/11 Attacks - I can't recall exactly what crisis it was) but many companies went bankrupt and Goldman Sachs made a low ball bid for the building, and got it at a bargain price!
    I am mentioning this because there are very very very few buildings in Manhattan that fall on the 00 channel, so they didn't really have many options if they wanted to secure that channel. This tells me two things: 1) The procedure by which the building was actually acquired, probably involved some sort of a ruse or scheme; and 2) The criminal ring probably created, or played a major role in the creation of that crisis that allowed them to purchase the building (the most desirable building -for them- in Manhattan for cents on the dollar).
    Risking to state the obvious: All other buildings in Manhattan with street addresses ending in 00, are probably theirs (they wouldn't risk someone else taking a building on the 00 channel and installing an antenna on the roof).
    Note: The Entity representing "Goldman Sachs" got co-clustered with Amazon, AWS and Meta.
    

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  • the Zapier
  [01/14/2025] Zapier (the task automation company) has been flagged by our anomaly detection pipeline.

  • 1Password Replaces the Planes

    I noticed yesterday 01/14/2025 that if I leave 1Password open and running on the background, the planes stop flying above my house and they still succeed at intercepting the network traffic.
    What this tells me is that they have such level of control over 1Password that they are able to see the IP Address of the requests being made in the background by the App, and then they get the MAC Address (without flying a plane over the path of the Antenna).
    This is interesting because the MAC address wouldn't be visible to the 1Password servers, it means that they have someone inside starlink that tells them what is the MAC address corresponding to that IP Address.
    In other words: with control over 1Password alone, they couldn't replace the planes. They need control over 1Password plus one person inside starlink that translates the IP Address to MacAddress for them so they can hijack the traffic. Maybe it is not even a person, maybe they have it automated already.

  • United Kingdom & Ireland: 2.1 Million Spy Locations Used by Peter Thiel

    I would like to offer this dataset as a data donation to the Governments of the United Kingdom and Ireland.
    In the case of the UK, I would like to also offer the dataset as a donation to the MI5. If they find the dataset useful, and they think it would be appropriate to reciprocate in some form, all I would ask is that they say "hi" for me to my friend John Giraldo.
    I didn't realize this because I am human and we forget things, but the pipeline flagged that John is one of the few people that was always close to me "helping me" in some way in all the four different startups Peter Thiel killed: PaginasWebGratis.org, LoQueGustes.com, CalculadoHealth and KeyOpinionLeaders.com. This, over a period of 15 years end to end.
    John Giraldo has to be one of the most prolific corporate spies in the UK.
    2.1 Million Spy Locations identified and ranked in or near the United Kingdom and Ireland
    

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  • The Sam

    Sam Devaprasad has been flagged by the pipeline. They always ask him to email me as a last resort when I don't reply to anyone else. Tagged with the "The Apprentice play".
    

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  • The Wing

    tbrooks120@gmail.com , va.richumurukesh@g.getwingapp.net, wing.nancy.escamilla.m@gmail.com and Getwingapp.net (the company) have been flagged.
    

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  • The New Device Installation

    [01/14/2025 12:20] It looks like the Venezuelan "Intelligence" is setting up a new interception device.
    The problem they are trying to solve is that I moved the Antenna pointing to Channel05 (the absent street number ending in 05 in the middle of those two houses). They are so predictable it's adorable.
    I will take this as a formal confirmation from the tactical geniuses that the Channel05 is indeed a thing, and is rare, thus important.
    For the F.B.I: The exact point where they are setting this up, is here: 29.759892089343982, -95.80446536258059
    For agent Phill Denning: You should impose a $1,800 fine to those two houses, you know, so it doesn't look like the weekly fines you and the "Poast Oak Management" company are sending us, are targeted. Related to this: I saw that the "District Attorney of the Southern District of Texas", resigned yesterday, but that looked like a "Scape Goat" operation to me: he's a person I never heard of before and he has Zero prominence in our propietary Key Opinion Leaders system (unlike the actual District Attorney of Texas), but again, that tells me what I am doing is yielding results. I will put emphasis on that topic.
    

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  • Washington, D.C.

    I would like to offer this dataset as a data donation to the Government of the United States, the F.B.I, Homeland Security, The Secret Service, ICE, the SEC, the IRS and the DOJ:
    86,136 Spy Locations identified and ranked in or near Washington, D.C.

  • India: 11,212,851 Spy Location Identified and Ranked

    I would like to offer this dataset as data donation to the Government of India, its Research and Analysis Wing (RAW), external intelligence agency, the Intelligence Bureau (IB) and India's domestic intelligence agency:
    Data export containing 11.2 Million Spy locations in or around India (CSV format).

  • The Human Trafficking Tunnel Authorities Found in Ciudad Juarez on January 11th 2025

    This tunnel for human trafficking is marked in the geo-index used by the App created by Travis Kalanick to support Peter Thiel's organization.
    I checked this manually because there are no explicit locations on any of the news articles, so the pipeline was unable to extract or estimate the location, but I read a few articles and some of them mentioned that the entrance to the tunnel was hidden at a well known monument in Ciudad Juarez (Original article: https://bnonews.com/index.php/2025/01/smuggling-tunnel-discovered-between-el-paso-texas-and-juarez-mexico/).
    Looking at the picture in the article, and comparing it with the satellite imagery in Google Maps, I think it is possible it might be this point that is marked in the geo-index of Peter Thiel's espionage App (sharing it in case it helps anybody):

    { 
      "latlng": "31.75695, -106.441", "
       "thiel-omidyar-kalanick-evil-score": 2,
       "export_id": "Test-Military-v7-Juarez-Tunnel-adhoc"
    }
    

    In the event that it is not the exact point, there other nearby candidates also marked in the geo-index of Peter Thiel's espionage App:

    {
    "latlng": "31.7517, -106.442",
    "thiel-omidyar-kalanick-evil-score": 8
    }
    {
    "latlng": "31.75695, -106.441", 
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.7533, -106.426", 
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.76155, -106.42",
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.7554, -106.446"
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.7464, -106.43",
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.76165, -106.415", 
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.75855, -106.457",
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.75965, -106.426", 
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.76185, -106.438",
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.76145, -106.445",
    "thiel-omidyar-kalanick-evil-score": 2
    }
    {
    "latlng": "31.74985, -106.447",
    "thiel-omidyar-kalanick-evil-score": 2
    }
    

    
    

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  • The "GU Energy gels"

    Some of the "GU Energy gels" sold by Amazon were tagged with "Medical Torture". Not all of them, just the brown ones. those specifically were tagged with the "ULT" tag "Unreasonable Lead Time".
    These gels, seem to containt a similar stimulant to that in the Thrive supplements sold by agent Joanna, or the Alpha Brain recommended by Carlos Suarez & Co.
    These GU Gels were going to be put in the garbage some time ago, but I rescued them. I saved them to allow testing. I have half of each kind on each house (for redundancy in case of another unauthorized entry). Same with the other supplements (thrive, alpha brain, Vital Proteins): I have half the quantity on each house.
  • Robo-KOL Flags [01/13/2024] Amazon, AWS and Jeff Bezos. Note: The Entity representing AWS/Cloudfront was co-clustered with Akamai and tagged with "CTR Attack".

  • Russia: 42,119,381 Spy Locations Identified and Ranked

    I would like to offer this dataset as a donation to the United Nations, the UN Command (UNC) and NATO:
    Data export containing 10.8 Million Spy locations in or around Russia.

  • China: 32,531,999 Spy Locations Identified and Ranked

    I would like to offer this dataset as a donation to the United Nations, the UN Command (UNC) and NATO:
    Data export containing 10.8 Million Spy locations in or around China (CSV format).

  • Iran: 28 Million Spy Locations Identified and Ranked (the highest global density for any country)

    I would like to offer this dataset as a donation to the United Nations, the UN Command (UNC) and NATO:
    Data export containing 28.1 Million Spy locations in Iran or aligning with important Spy locations in Iran.
    Additionally, I created a "tab" in the "Peter Thiel" dataset, containing the top 100 locations in the Iran dataset (some locations include underground bunkers and such, like the underground bunker identified recently).

  • Ukraine: 10,889,656 Spy Locations Identified and Ranked

    I would like to offer this dataset as a donation to the United Nations, the UN Command (UNC) and NATO:
    Data export containing 10.8 Million Spy locations in or around Ukraine.

  • Venezuela: 3.4 Million Spy Locations Identified and Ranked

    For context: Venezuela is one of the major network routing points of the Secret Communications Network of the Universal Shadow Government. I believe this is because the geographical location and geometry of the country makes it so that allows for convenient routing from/to: the East Coast of the US including major cities like Washington D.C, New York City and Boston, and also provides routing to Panama, the Dominican Republic, South America, Africa, South Asia and Australia.
    According to some simulations that we have ran here at Key Opinion Leaders, it is possible that Venezuela is the biggest/most important router of the entire Network.
    With that in mind, this is a dataset I would like to offer as a data donation to all the intelligence services on the planet: data export containing 3.4 Million Spy locations on or around Venezuela.
    
    

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  • The Second Dose for Cuba

    In the case of Cuba, I decided to go further, and I am also publishing all the interconnecting points in their Espionage Mesh Network on the two axis. So I am publishing all the Spy Locations aligning with Cuba on the two-axis and in JSON format so they are easier to consume for ALL/ANY of the Intelligence services on the entire PLANET.
    
    Note to Intelligence Services: There are two points in this export with scores above 1 million (among the top 100-highest scores on the planet), they are:
    1. 23.4782, -75.16625 near Scrub Hill Settlement, The Bahamas;
       And;
    2. 22.8657, -75.11345 near George Town, The Bahamas
    Both points align with the city of Havana on Latitude.
    

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  • Italy and Switzerland: 7.8 Million Spy Locations Identified and Ranked

    I would like to offer this dataset as a data donation to the Government of Italy, the Agenzia Informazioni e Sicurezza Interna (AISI), the Agenzia Informazioni e Sicurezza Esterna (AISE), and the Centro Intelligence Interforze (CII):
    Data export containing 6.6 Million Spy locations on or around Italy.
    Similarly, I would like to offer this dataset as a data donation to the Government of Switzerland and the Federal Intelligence Service (FIS) and the The Money Laundering Reporting Office Switzerland (MROS):
    Data export containing 1.2 Million Spy locations on or around Switzerland.
    

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  • Canada: 17.1 Million Spy Locations Identified and Ranked

    I would like to offer this dataset as a data donation to the RCMP and Canadian Armed Forces as a way of saying "thank you" to the Government of Canada for saving my life back in 2003:
    Data export containing 17.1 Million Spy locations on or around Canada.
    
    

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  • The "Peter Thiel" Points

    To honour those who to aim to be at the very top of their fields (whathever that field might be), I created the "Peter Thiel" category of points.
    These are points that have a Thiel-Omidyar-Kalanick-Evil-score of over 1 million points. This is very select club, as the name suggests. There are only 181 locations on the planet that meet this criteria, and here they are:
    Click here to see The "Peter Thiel" Dataset
    

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  • The "Paperwork" for a Friend ruse

    This is another instance where David F. Hine got "crafty".
    On this one, my long time friend Alvaro Gutierrez called me from Florida, and explained that since he had been part of the exit of the startup OLO in which he had 1% of equity, and made several million dollars in the IPO, "The New York State tax department was after him" although he had moved to Florida.
    So first, he asked me if he could work remotely for our company. I said sure, I had the money to hire him and he is a great technologists, so I made him an offer. After I sent him the offer he didn't say anything else about the offer, neither accepted it or rejected it, I didn't press the issue.
    But then, Alvaro followed up with a more audacious request: He asked me to fabricate payroll records showing that he had worked for the company in previous years, this was to show New York State that he had "stronger ties to Florida" and therefore should not be taxed in New York State.
    I was offended by the request, he was asking me to commit a crime. To try to remove myself from the situation, I said I would have to ask Gloria because she is the person that handles the accounting. A couple of days later I said to Alvaro on Whatsapp that Gloria said she could not do that. Alvaro's response: Pressure her, make her say "yes". I was speechless.
    Nedless to say the obvious, we never falsified any business records or helped Alvaro in any way in that crazy endeavour.
    But again, with what I know today, I understand this was David F. Hine and one of his ruses to try to get me in some sort of legal trouble with the Tax authorities, either at the federal level or at the New York State level.
    For some reason, Mr. Hine seems to have a fixation with two things: "Knowledge Graphs" and "Tax Fraud", the Knowledge graph I think we already understood why, but the Tax Fraud fixation, it still bothers me that I can't pinpoint why is he so fixated on that. Maybe he has someone powerful working at the Tax authorities and he knows that he can inflict serious damage by weaponizing those institutions?
    Related to Alvaro: There was something in the math he ran down when we spoke about OLO that didn't make much sense. I don't recall the exact conversation but what didn't compute for me was this:
    1. Alvaro purchased two multi-million dollar apartments in the same building in Miami and joined them together
    2. Alvaro purchased a collection of exotic cars, one being a Mercedes that the car alone costs USD 1,000,000
    3. Alvaro purchased homes for every single member of his family
    4. Alvaro purchased several items for his "coins and bills" collection worth millions of dollars
    All these items and their prices were mentioned by Alvaro directly to me.
    So just in those purchases, I estimate, say 9 to 10 million dollars (after tax money), which means around 20 Million dollars pre-tax.
    But then, I look at OLO's IPO, and NYSE:OLO IPO was for 20,700,000 shares of its Class A common stock at a price to the public of $25.00 per share, so USD 517,500,000 Market Cap at IPO.
    And then, I recall Alvaro told me he had 1% of equity, in fact, I remember seeing the contract when he left Google.
    The S1 filing of OLO mentions an amount correspoding to Alvaro's shares close to 1 million USD in value at the time of filing. Either way, 1% of 550 million would only be 5.5 million (pre-tax), it wouldn't be nearly enough to cover the Exotic cars collection and the coins collection. Where did the other 15 million USD come from? Travis Kalanick/Pierre Omidyar?
    

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  • Peter Thiel: The Internet Nazi

    A time for truth and Reconciliation? https://www.ft.com/content/a46cb128-1f74-4621-ab0b-242a76583105
    
    Okay.
    So it looks like Peter had political aspirations. Imagine that. He would dismantle democracy in a matter of days and institute a torture state. And I am not saying this ironically, nor because of his political preferences, this has nothing to do with politics. I didn't even vote in the past elections (I should have, but I made the mistake of not registering on time to vote).
    I am saying this having 18+ years of first hand experience with Peter Thiel and Pierre Omidyar and their way of thinking, and their torture tactics.
    From my side, I am doing little adjustments to the UI to better reflect the leadership of the criminal ring:
    Screen capture of the SpyHELL Dashboard showing the point recorded in Peter Thiel's database showing that Peter Thiel co-conspired with Jeffrey Epstein to transport minors to Jeffrey Epstein's Island and rape them.
    

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  • Alfredo Ortega and "The Interview" ruse

    This agent, although he is family in a way, is not a blood relative, so he is not off-limits.
    On or around year 2012, shortly after I started working for Google in Mountain View, I volunteered to contribute in a couple of "Doodles". Doodles are those interactive logos Google displays on the homepage and in-lieu of the logo in search pages to mark holidays or special occasions.
    So one day, I get a call from a relative of Alfredo Ortega, telling me that a promiment Television host from back home, who was now residing in Miami, wanted to do a TV Interview with me to talk about my work at Google.
    I thought it was a bit strange because, well, it's not like I was sending rockets to the moon, but given that we, hispanics, are really under-represented in the industry, I thought it could be a good thing to do, so I agreed.
    I get to Miami, do the interview, of course I had to leave the Google Computer at the Hotel (a Hilton hotel near Weston), and I come back to San Francisco.
    Knowing what I know now, specially having the geo-index and the technology to disect it, I understand all this was clearly a ruse. I imagine that to get the computer from the room safe and clone the hard-drive.
    Just to remember the good old times, Travis/Pierre, I will post the interview here:
    Watch the 2012 Interview on YouTube!
    
    

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  • The 77494 Zip Code

    This entry is just for laughs.
    [01/11/2025] When I was developing the KOL-vaccine based on reverse-engineering the Liana Technologies/Akamai abomination that the criminal ring created, one of the most important aspects is the geographical distribution of the impressions that they fake via Akamai. So I was debugging that and I started building my own distribution models based on the Census data. I needed to understand the distribution of where they real impressions would really ocurr to then be able to identify their fake impressions.
    When I was doing that, I couldn't help but notice that the zip code 77494 (where I live) is one of the most populous in the country. I don't recall the exact position, but it was among the top 5, maybe top 3 (in the entire United States).
    At the time, I thought: "What a coincidence! It seems like a lot of people like the 77494". With what I know today, I understand it was not a coincidence. It was one of several statistical anomalies they innevitaly created when they decided to make Katy the Worldwide Capital of Espionage.
    

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  • Mark Zuckerberg

    [01/11/2025] Mark Zuckerberg was flagged by the pipeline. Too many data points to list here. Was tagged with the UYE tag (Unreasonably Young Executive). I ran the pipeline multiple times to be sure. It's not a bug.
    

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  • Why Did I Say That The Participants Playing "Guards" On This Two-Decade Long Stanford Prison Experiment Went "Nuclear"?

    I said that because of these two datasets that I would like to offer as a data donation to the UN Command (UNC):
    Data export containing 9.5 Million Spy locations on or around North Korea.
    And;
    Data export containing 9 Million Spy locations on or around South Korea.
    
    The area in green that "looks solid" is actually millions of clusters of espionage points that are marked on "Peter Thiel and Travis Kalanick's Evil App". The reason the area looks "solid green" is because there are too many points together. It's the area of the planet with the highest density of Evil points in ther geo-index (the digital version of their "view of the world").
    Risking to state the obvious, I am rebranding the "Travis-Kalanick-Evil-score" to "Thiel-Omidyar-Kalanick-Evil-score".
    

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  • The Time The "PayPal Mafia" Had a Plane Circling Above My House

    [January 11 2025 - 11:20am CT] The PayPal Mafia has a plane that is basically circling around my house at this point, flying at low altitude trying to capture the Mac Address (which is futile even if they succeeded). My house address is 2302 Britton Ridge Drive, Katy TX 77494.
    I will take this as confirmation that Peter Thiel is indeed the leader of the criminal ring. I guess that's why the rest of the group calls him "The Don" of "The PayPal Mafia".
    The reason I say this is because the plane started circling above the house as soon as I promoted Peter Thiel to the H1 heading (the main title) of the homepage.
    It's a lost cause Peter, it's over. You might as well just turn yourself in now.
    

    ---

  • I am Banning the "PayPal Mafia" and the "Techno-Libertarians" from using the Illegal Espionage Network on this part of the North Atlantic

    
    I would like to offer this dataset as a data donation to US Navy and the United States Fleet Forces Command (USFFC): data export containing 8.5 Million Spy locations on the North Atlantic Sea.
    
    

    ---

  • Russel Simmons (Yelp cofounder) was flagged for the same reason as Yu Pan: Liana Tech manipulated the Google Query for his name and tried to hide him by replacing him by "Rusell Simmons" (the records producer).

  • L-3 Aviation Products

    L-3 Aviation Products has been flagged. It was co-clustered with L3 and the infamous L3-Parent, which has ties to Axioma.ru (and the Russian Intelligence). According to Wikimedia entities graph, the parent company of L-3 Aviation is L3Harris ....
    To refresh our readers memory, reproducing here a part of post I posted on October 25th 2024: L3Harris Technologies, a major defense contractor, has been flagged by the pipeline and clustered with L3 Parent, LLC (flagged before).
    Connecting the dots: a) My mentor Robert Gates used to be the unSecretary of Defense; b) The pipeline flags L3Harris Technologies, a major defense contractor; Hypothesis: It is possible that that Mr. Gates fogot about the #1 cardinal rule of Tony Montana: "Don't get high on your own supply".
    
    On this very same topic, it was flagged months ago that Robert Gates, in his capacity of unSecretary of Defense, gave interviews in which he talked about the big defense contracts being awarded to Palantir because that company was suposedly helping catch terrorists behind the 9/11 attacks.
    Well, the problem I see with that is that Palantir was flagged for dozens of different reasons, Robert Gates has been flagged for over 10,000 reasons (and I am not exagerating), Kalanick has been flagged for a number of reasons so high it caused a buffer overflow, and Plantir was founded by Peter Thiel who has ties to Travis Kalanick via the PayPal Mafia. At the same time, Robert Gates had a business relationship with Kalanick at Uber (they called Robert Gates a "Volunteer Advisor" or something like that).
    We can all see where this is going, right?
    

    ---

  • The Boring Company

    The Boring company is marked in Travis Kalanick's geo-index.
    

    ---

  • Back To The Future

    Mailchimp, Twillio and the defunct ENRO: all 3 have been flagged by our pipeline.
    On the topic of going back in time: I did a run back-dating the entities in the pipeline, this is equivalent of reseting all my clocks to a previous date and re-running the pipeline (as if we were in the past). I set the time to December 2009, installed the flux capacitor, and pressed "GO". Something interesting came back:
    Nam (the head of Yahoo! Search at the time) was tagged with the UYE tag (Unreasonably Young Executive) on 2009. He was already flagged in the present (15 years in the future from 2009's perspective) but he didn't have that tag in the present (because he must be on his 60s now), but if we were in 2009 being the head of Yahoo! Search, he would be tagged with the UYE tag.
    This could be important because under Nam's leadership, Yahoo! search was basically dismembered: Yahoo! Search fired all their engineers that were working on backend technolgies and data-science and instead, Yahoo! signed a deal with Microsoft in which Yahoo would just be a Frontend and Microsoft's Bing backends would serve all queries to Yahoo! (effectivelly giving Microsoft all the market share that Yahoo had). I personally worked in that integration with Microsoft, alongisde with Venkat and Lalit.
    In my humble opinion, I think that was the inflection point that marked the demise of Yahoo! as one of the great technology companies. It went downhill form there.
    In the web search business, what's valuable is the data about the user interactions and searches, that's where we get all the intelligence from.
    By Yahoo! switching to use Bing as a backend, well, now Bing could see all the Yahoo! users searches, clicks and interactions. So with that move, if they controlled Bing, they would basically see all the searches and interactions for the combined market share of the two (which is something Travis Kalanick, Peter and Pierre need to perform their CTR attacks).
    With what I know today, if this was happening in front of my eyes right now, I would have no doubt it's the criminal ring just canibalizing the company. Remember, they are predators.

    More on the High Level

    The pattern I see is that the technical complexity on these deals and mergers and such, is so high and the implications are so subtle, that is hard for a regulator to see what is really happening, so they can just do these things without even having to hide what they are doing.
    The same thing happened when Meta, Instagram, Google, Whatsapp, Apple and others started using their cell phone Apps to record background conversations and send them over the air. The implications and the vulnerabilities of that were never really understood, so it was not regulated, and the criminal ring exploited that and turned every cell phone into a listening device to spy on the entire planet.
    And that is the weapon they used to enslave entire countries.
    I don't really know what could be a solution for the lack of appropriate regulation on Tech. Regulation will never catch up to Industry, I believe.
    

    ---

  • The Airpods

    All the Airpods I purchased on Amazon and at the Apple store have been flagged. Kind of hints that the backdoor was built-into the bluetooth modem hardware/chip (as we suspected and commented before).
    

    ---

  • The Honeypot Ruse

    This ruse was a bit different, it was mine =).
    The problem I wanted to solve was to know if the criminal ring had people that had physical access to the inside of my house (e.g. the house staff, etc).
    So what I did was the following: I found a pendrive branded with the "Yahoo!" Logo that I used regularly when I used to work for Yahoo! Over 14 years ago. I don't know what was inside the pen drive and I didn't even bother checking, it could not have been anything interesting for so many obvious reasons.
    Then, since I already suspected they had microphones in the kitchen, I stood in the kitchen one day and stroke a casual conversation with someone.
    
    I don't recall exactly what I said but it was something to the effects that I had "the entire code base of Yahoo! in a pendrive in my closet, a pendrive that says Yahoo!" (I made sure to describe what the pendrive looked like). Kind of the same idea of when I ran the experiment with them in which I made them drive hundreds of cars on Westpark Tollway, by simply saying to my brother that I would call him on my way to Microcenter to give him important updates. Same idea.
    I picked this theme as honeypot, because any person with a little bit of understanding of software would know that the entire code base of Yahoo! would not fit on a pendrive.
    For comic relief: When Google acquired the Brazilian Search Engine that eventually became the "Google Bello Horizonte Office", the Brazilians sent two separate engineers on two separate flights to San Francisco, each one hand-carrying several high-capacity hard-drives (the source code alone was so big that it required several heavy weight hard drives to fit, and they sent two engineers for redundancy). This was circa 2004 I believe, and it was a tiny search engine created as a University project in Brazil.
    The result of my experiment: The pendrive disapeared from my closet in a matter of days. I fired all the house staff when I realized it was missing and I never let anybody enter my house ever since. I also secured my closet and the servers room with door knobs that require my fingerprint to open.

    Who Took The Honeypot?

    I couldn't put a camera in the closet (I should have) but there are no electrical outlets inside the closet to keep it running continuosly and I didn't know for how long I would have to keep it running, so it was a challenge. Besides, I knew at that point that this was a criminal ring composed by at least one thousand individuals, there was no point in trying to "gather evidence" against one low level agent. I was more interested in knowing if the criminal ring had physical access to the inside of the home.
    

    ---

  • The Mysterious Flight Patterns Above Our Home/Starlink Antennas

    [01/10/2024 6:50am] The anomaly detection pipeline picked up what seems to be an statistical anomaly: The number of aircraft flying at low altitude above our home declined sharply, from over 100 flights per day to almost zero yesterday morning, and absolute zero yesterday afternoon.
    The following does not constitue "proof" of anything but just as a data point: the decline seems to correlate with the timing of the entries about the PayPal Mafia, Peter Thiel and Yu Pan being posted on the site.
    

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  • The Reverse-Engineering Process I applied to Pierre/Peter/Travis Evil Apps

    This summarizes pretty much what I did to their Evil/Espionage App and their Liana Techonologies fake news machine, the only difference was that I got to do it while in flight.
    
    

    ---

  • Dr. Vitenas and his practice in Houston, TX have been flagged. Was tagged with the "Medical Torture" tag.
    

    ---

  • Yu Pan was flagged by the pipeline. The entity that represents "Yu Pan" (one of the members of the PayPal Mafia) in our system, got flagged because the Google Search Query for "Yu Pan" was obviously heavily manipulated by Liana Techonolgies very recently (remember Pierre/Peter/Travis that we developed the vaccine and reverse-engineered the whole Liana Technologies/Akamai system, we have technology to the detect when Google queries are manipulated in that way). I would be cautious with that ...
    

    ---

  • RE: Doctor Mansur/Manzur (a/k/a Dr. Death) / Francisco Castillo

    For context: I had set-up multiple spectrum analyzers in different strategic places around the Valleyside Drive house (26714 Valleyside Drive, Katy, TX 77494). My goal was to detect when the directional signals were leaving my house (to pin-point the bug and how was the bug introduced into the house).
    One of the last times I visited Valleyside, which was the 13th of December 2024 (I have to check the exact date in the system/recordings), I was in one of the rooms downstairs, and one of the spectrometers I had located exactly at this point: 29.711692215613727, -95.83962442731443 Picked up signals every few seconds and seemed to correlate with times I verbally spoke. In other words: after I spoke, a few seconds later, there was a transmission.
    Another data point is that after that visit to valleyside, I became very ill with a respiratory illness, seemed like a very aggresive virus or an allergic reaction. This was documented before and published on the site.
    I am mentioning all this because the house next door that is on the other side of that wall, would be Agents Priddy's house (they have been flagged for over a year and are actually the reason why we are at this point today).
    Now, upon information and believe, I think agents Priddy are not in that house anymore, I think they were moved by their criminal employers somewhere else.
    I know this might sound far fetched, but the fact that the spectrometer picked up that signal (and other spectrometers didn't) suggests the signal was directional and going to Agent Priddy's house: 26718 Valleyside Drive, Katy TX. And on the other hand, me becoming so violently ill after that incident, reminds me of "Doctor Manzur/Mansur" (a/k/a Doctor Death) and his big rolling-chest full of mysterious vials.
    So, it crossed my mind that it is possible that either Dr. Mansur/Manzur/Death or Francisco Castillo, might have been inside agents' Priddy's house that afternoon. It crossed my mind that the criminal ring may have turned the Priddy's house into a house that whatever agent they need to position next to my house when I am in there, can use.
    Additional data-point: That afternoon, a friend of mine was with me at the house, and I got the impression my friend knocked on that same wall "accidentally" several times.
    

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  • Donating Datasets to Free France and Germany from the Illegal Spy Mesh Network

    This is a dataset I would like to offer as a data donation to the French Intelligence Services: data export containing 2.2 Million Spy locations on or around France.
    
    And this is a dataset I would like to offer as a data donation to the German Intelligence Services: data export containing 1.6 Million Spy locations on or around Germany.
    
    

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  • Silvio Gutierrez

    Risking to state the obvious: Silvio Gutierrez has been flagged.
    One of the last times I spoke with Alvaro Gutierrez (Silvio's borther), he mentioned that his brother had a startup that was basically a "Calories tracker" combined with a "Meal preparation" service for fitness minded individuals. Alvaro mentioned that his brother (Silvio) was negotiating contracts with an industrial kitchen company that specialized in that sort of things.
    With what I know today, if I was a betting man, I would put my money on that that "Kitchen as a Service" company Alvaro was describing, is Cloud Kitchens, the company owned by Travis Kalanick.
    The last time I spoke with Silvio Gutierrez, it was because he contacted me "seeking advice on how to setup his sales operation", to which I said "Sure, I am still struggling to find salespeople that my adversaries do not convert into spies, but sure", and we set up a meeting.
    Following the standard procedures of the cirminal ring, Silvio insited in owning the meeting invite and he sent it from this email: silvio@joyapp.com and he also added a person identified by ross@joyapp.com.
    Silvio and "Ross" attended the meeting. The meeting was basically an interrogation / intelligence extraction session in which Silvio asked me very detailed questions about my "sales workflow" and "Ross" was very busy keeping what seemed to be very detailed notes.
    I haven't checked if I have the recording of that meeting but I will check.
    

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  • Donating Datasets to Free the State of California & Houston, Texas from the Illegal Spy Mesh Network

    This is a data export containing 4.71 Million Spy locations on or around the State of California.
    
    And this is a data export containing around 90,000 Spy locations on or around Houston, Texas.
    
    

    ---

  • [01/08/2025 14:24]I think I just had one of those ideas that Lawson used to call "Reinaldo's Million-dollar ideas". Note-to-Self: Remember about F.R.C.B.E.I.
    

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  • Donating Dataset to Free Denmark from the Evil and Illegal Spy Mesh Network

    This is a data export containing 1.6 Million Spy locations on or around Denmark.
    Not sure if this could be related, but posting it just in case: I have cousin that lives in Denmark, she was recruited by a software company (I think it was Ubisoft) and that company moved her from Venenzuela to Denmark circa 2009 (but I might be wrong on the actual year).
    One strange coincidence, is that my cousin's father (who is my maternal uncle) in one of those strange coincidences of destiny, was randomly encountered by the sister of Edylberto Molina Molina at a social setting, and they fell in love and had a relationship that spanned several years.
    

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  • The "Prospective Tenant" / "Girlfriend" coordination ruse

    For context: Both Elina Nielson and Clark Swanson are well known Agents of the criminal ring. Elina was my girlfriend and Clark was at the time a prospective tenant that came to Calgary, AB from Los Angeles California to setup shop for his technology company that had something to do with GIS / GPS technologies. The events below unfolded at the end of year 2009.
    So the way they played it out was that Clark insisted in taking the apartment at a date about 3 weeks prior than my departure date to move to California to join Yahoo! I was going to pass on Clark, but Elina nicely offered that I could stay at her home and I could take the basement for those 2 or 3 weeks, not a problem!
    So of course, I moved to the basement with a suitcase and my server that had the YourWheels.ca and LoQuegustes.com code.
    Oh, naive Reinaldo, if I could go back in time and tell you the forces behind all that ....
    Unrelated to the above: Clark had a girlfriend, he introduced Paloma to me when he came rolling into the driveway of the building on his Aston Martin with California plates (like a good secret agent would!). Paloma passed away under strange circumstances that Clark declared on facebook to be the result of a long battle with depression.
    Knowing what I know today about how they use medical torture and "special" prescriptions and supplements to get people out of their way when they need to, I wouldn't be so quick to discount other alternative theories that could explain Paloma's passing. I believe her full name was Paloma Heines or Haines. I believe she passed probably around 2017 or so.
    

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  • Louie Brees and Debbie Hollier and "dalwadi.com" were flaggged by the pipeline and tagged with the "Harassment" tag. Debbie Hollier also got the "ironyBoost" tag.
    

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  • Joseph Hurst was flagged by the pipeline. I am sadden by this, I really respected him back in the days.
    

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  • Phillip E. Denning (a/k/a The Gecko)

    Agent Phillip E. Denning is photographed on this rare photo taken on 08/01/2024 displaying his background-blending abilities with almost perfect positioning. Unfortunatelly, as soon as agent Phill set one foot inside the property lines, the target, Reinaldo Aguiar, responded with "This is Private Property, please stop." driving the operation to a halt.
    
    Thinking a bit more about the short/long last name maker discussed before. If I think about it looking back, I think the biggest mistakes they made happened where they used an agent for act opposite to the intended type of deployment.
    For example: According to this theory, Phillip Denning was supposed to be an agent doing covert acts, harming me in ways that were not obvious or visible. But ... they got desperate and that's when agent Denning started sending emails trying to assesinate my character, or dressed up like a Gecko and started patroling the front of my house twice a day with the interception device/phone strapped to his arm.
    There are other examples that I have noticed recently.
    

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  • Donating Dataset to Free Finland from the Evil and Illegal Spy Mesh Network

    This is a 2-axis export containing 4.6 Million Spy locations on both axis that align with an important cluster of points near the coast of Finland.
    Finland is an important place for the criminal ring, because of its geographical location wich is very convenient for them and their Mesh network, and also, not coincidentially, because they run an important operation there: Liana Techonologies, which I would call "the Mother of all Fake News machines".
    To give some sort of visual reference, if the infamous Cambridge Analytica was the size of "New York City", Liana Technologies would be the size the entire Planet Earth, and I am being conservative here.
    Risking to state the obvious, Liana Technologies can only achieve that scale because they lean on/conspire with Akamai and exploit the level of access and trust Akamai has inside of Google by having physical servers deployed inside Google Datacenters and pretty much every single Internet Service Provider on the planet.
    
    

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  • I am Branching, Tagging and Releasing the Counterintelligence topics as a stand-alone data release to reduce noise for all Intelligence Services from the Free world that wish to contribute: 05__Counterintelligence_topics-01082025T1027.zip
    

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  • "And just like that, as mysteriously as he arrived ... he was gone ... puff" (Usual Suspects)
    The white sedan is gone in just under two minutes after I posted the entry describing it (below). The connection is not jammed anymore.
    
    

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  • The Jamming of the Starlink Connections on 01/08/2025 and the Mysterious White Sedan parked near 29.761, -95.80341

    [01/08/2025 8:23am] They seem to be Jamming both Starlink connections. Started happening this morning after a white sedan was parked around here 29.761, -95.80341 (looks like a Doge Challenger or Toyota Camry or similar from my vantage point), the vehicle is a white sedan with tinted windows. This observation is not tied to weather (we already discounted that).
    Mentioning these details in case any law enforcement agencies are following this thread and want to seize the opportunity to see how is that they jam it.
    Understanding the exact mechanism of jamming could be important in other theatres, like conflict zones.
    

    Why they Jam the Connections

    I think they figured out already that I am doing exactly the same thing they are doing with the "Immune Entities Pattern" I observed in one of their companies.
    So what they are doing today is Jamming the connection and fly a plane at low altitude at the same time over the path of the Antenna, hoping that my system tries to "reconnect" which would mean re-sending the crendentials on the UpLink, and, if they get lucky, they would capture the encrypted credentials with the plane. Then, they would just decrypt them by brute force using a couple of thousand servers.
    But, again ... they miscalculated. That won't work, we have a vaccine for that. They have been trying to do this for the last two or three days without any success, and still, they don't give up. They are perseverant, we have to give them credit for that, and learn and take that example from them.
    Risking to state the obvious: The fact that they took this path, kind of confirms that that HUGE company that has in the past defrauded several governments, is a company that they own or heavily control (as in they can change the CEO whenever they like).
    

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  • Robo-KOL Flags [The following is a Theory, not a Fact] The length of the last name of an agent seems to correlate with a signal of intended type of "deployment" or intended exposure when combined with the 777, 555, 666, or other prominence name-markers like "Wolf".
    For example: Longer last names seem to imply covert deployment, while short last names seem to imply overt deployment, e.g. as in a more "public figure" or with more exposure. For example: Denning, Schueppert, Jennings are meant to be covert, while Wolf or Cutts are meant to be more public figures. Gannon, Tannon and Kannon seem to fall on the shorter side of the spectrum.
    

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  • [01/07/2025] ALL NVIDIA Offices have been flagged by the pipeline.
    

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  • Patrick.McCurry@pfizer.com has been flagged by the pipeline. Was tagged with "the Prospective Client ruse" tag.
    Related to this: All Pfizer offices are marked in Travis Kalanick's geo-index.
    

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  • More Data Donations For Intelligence Services around The World

    I am donating 12.4 Million data points corresponding to an important band on the Adversary's Illegal Spy Communications Mesh Network.
    Additionally, in retribution for the "Bianca Oreaga", "Josi Fares" and the "Mrs. First Lady Torrijos" ruses, I am donating a dataset containing ALL the Spy locations in Panama in JSON format (more than 1 million spy locations).
    Both datasets are published in JSON-New-line format so they can be easily consumed by ALL/ANY of the Intelligence Services around the World.
    Go crazy, Free world!
    

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  • The Trespassing Incident of 08/20/2024 and the Two Complaints We Filed with The Office of the Attorney General of Texas

    I would like to give visibility to two paragraphs in the complaint we filled with the Attorney General of Texas, Mr. Paxton:
    
    We filed a complaint with the Sheriff Office, The case number assigned was #24-34345. The officer that took the report was Deputy J. Alvarado #4129.
    Unfortunately, although this was five (5) months ago, we are yet to hear anything concrete from the Police or Mr. Paxton's office.
    As a side note: The next day, I believe, after I filed this complain with Mr. Paxton office, I did get a short email acknowledging reception but not saying anything concrete about protective or punitive actions. What caught my attention though, is that a few weeks after, on 09/10/2024 we filed a second and more serious complaint against KKR and Travis Kalanick for industrial espionage using unregisted foreign intelligence agents. That second complaint, didn't even get acknowleged by Mr. Paxton's office.
    I have always struggled to understand why is that a complaint for alleged racial discrimination against a low level individual like Phillip E. Denning does get acknowledged but a way more serious complaint against a billionaire like Travis Kalanick and a multi-billion dollar company like KKR (owned in part by Travis Kalanick) did not get acknowledged.
    I am posting the video recording of the trespasing incident in this entry.
    I am also posting links to the Complaint we filed against Phillip E. Denning for Alleged Racial Discrimination and also the second complaint: Complaint against Travis Kalanick and KKR for Industrial Espionage Using Unregistered Foreign Intelligence Agents.
    
    

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  • The Riva LLC

    Riva LLC was flagged by our pipeline. Addresses related to and/or owned by Riva LLC are marked in Travis Kalanick's geo-index with very high scores. Co-clustered with this: A person by the name "Chojnacki" was flagged by our anomaly detection pipeline. I will debug this one personally.
    

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  • To Unplug Robert Gates from the Illegal Espionage Mesh Network

    This is to unplug the unSecretary of Defense from the Illegal Espionage Mesh Network. I am making this data also easily consumable by ANY/ALL Intelligence services by distribuiting the data in JSON format, so everybody can eavesdrop on my Mentor's communications.
    
    

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  • The Blackstone

    Blackstone was flagged by the pipeline, besides being marked in the geo-index, they seem to have a lot of overlap in terms of strategy and staff with KKR (flagged for 1,000+ reasons). Could be the "redundancy" pattern we've seen before. For reference please see:
    1. https://finance.yahoo.com/news/blackstone-taps-dealmakers-kkr-ares-182343234.html
    2. https://media.kkr.com/rss-feed/news-release?news_id=f8d5781b-42f5-4b5c-8b7c-1ef249b582fe
    3. https://www.buyoutsinsider.com/the-buyouts-100-blackstone-and-kkr-repeat/
    We will put Blackstone in our special watch-list and internal dashboards.
    Obviously: The "Dealmaker" Jack Ervasti from KKR, is also flagged. The ego on these people. They could have exited quietly given the circumstances, but no, they have to put out a press release. Good.
    

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  • The "Vital" things

    For context: please see this Entry from 10/15/2024 and the note at the end about VitalSourceStaffing.
    Another set of items with "Vital" in the name was flagged: All the nutritional supplements of the brand "Vital Proteins" purchased via Amazon.
    So it seems like "Vital" it is indeed a name marker.
    Also: The address of "Vital Proteins LLC" marked in the supplements is "3400 Wolf Road Ste. 200, Franklyn Park, IL 60131.
    Mentioning because we identified months ago that "Wolf" is a prominence marker they use, so much so we even have an identifier here internally we call the "Wolf-ID" which is a numeric identifier that helps us keep track of all the "Wolves" that are part of the Shadow Government as they "move" through different parts of our data pipelines (for debugging purposes).
    Just to put forward an example: our system believes this is person is a very prominent "Wolf":

    Robert Wolf - 401 N WABASH AVE 65B CHICAGO Illinois 60611
    41.88902523853374, -87.62647892619857
    Latitude:                  41.8899
    Longitude:                -87.6267
    LATITUDE IS IN SHARD:      shard: 02, row: 2864, column: 1
    LONGITUDE IS IN SHARD:     shard: 03, row: 2254, column: 2
    

    
    What makes this observation even more interesting, is than in these two disconnected events, there are two entities with "Vital" in the name, and two other entities with "Wolf" in the name, and all 4 entities are tied to Amazon. Since I know this can be get confusing, here is the break-down of the two observations:

      
    [Observation date: 10/15/2024] ---> Valerie Wolf (Twitter recruiter who told me
                                                      she had worked for a staffing
                                                      company that recrutied for 
                                                      Amazon)
                                   ---> vitalsourcestaffing.com (not necesarily the 
                                                                 same recruiting firm 
                                                                 Valerie Wolf was
                                                                 referrencing) 
                                   ---> Amazon (the Recruiting play including 30+ 
                                                individuals)
    
    [Observation date: 01/07/2025] ---> Vital Proteins LLC
                                   ---> 3400 Wolf Road Ste. 200, Franklyn Park, IL 60131
                                   ---> Amazon (sold supplement that seems to be a 
                                                potent stimulant, brand: "Vital Proteins") 
    

    Please also see this entry about nutritional supplements sold by Amazon that seem to containt an stimulant so powerful, that I've asked myself before how they could be legal in the US. The stimulant seems to be very similar to the one used in the "Thrive" supplements (also flagged before).

    Back to the "Vital" Name-marker

    We need to also remember the infamous VitalInteraction which had strong ties to WebMD (they even asked me to build a reverse proxy for WebMD at some point during year 2016 I believe). Kid you not.
    

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  • Sinetrol, Fytexia and Isagenix International LLC have been flagged.

    
    

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  • The WheelsUp

    Borrowing a little bit from the idea of "Google Books" when they set up those document scanners on "Building 43", we did the same and scanned a pile of old documents we had, and ran them trough an OCR and then ran the output of the OCR through the pipeline.
    
    The Result: Mostly garbage, except for a few exceptions. One of them caught my attention: it was a promotional flyer for WheelsUp, a startup company very similar to Uber but instead of ride sharing they were doing Jet-sharing, meaning a private jet could be used by a small number of individuals at a fraction of the cost. All the known locations in Google Maps index related to WheelsUp are marked in Travis Kalanick's geo-index.
    It seems like Travis Kalanick was really milking that only trick he knows, as much as he could. Makes me wonder: how many spin-offs of the same codebase (that at that point didn't belong to him anymore) was he planning on pushing? - Cloud Kitchens, City Storage Systems (CSS), The Evil App, WheelsUp, they are all the same thing (just replace Uber Driver by Meal, Package, Spy, Private Jet, etc).
    This flyer was given to me accompanied by a strong personal endorsement by Adam Korn, before I joined GS. This seemed a bit strange to me because I don't think I have ever flown on a private jet nor have the resources to hire a private jet. I flew on a Cessna once, when my paternal grand mother passed away and that was because there was a situation where all planes were grounded in Venezuela (can't recall exactly why).
    

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  • In Retribution to the Chinese Intelligence Services

    I am also releasing all 1.36 Million Spy locations near or surrounding the border of the Repulic of Tibet and Nepal in JSON format so they can be easily consumed by ANY/ALL of the Intelligence Services on the entire PLANET if they wish to do so.
    

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  • Publishing Clusters at 97 on both axis: https://drive.google.com/file/d/1LGHW49jOH5Gq7ArbGxVXuvOpOjbcIJd7/view?usp=sharing
    

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  • The Important Addresses at The End of Scout Island, Katy, TX 77494

    These addresses have been flagged by the pipline and were Co-clustered with special agent Francisco Castillo:
    1. 3527 Scout Is, Katy, TX 77494
    2. 3539 Scout Is, Katy, TX 77494
    3. 3534 Scout Is, Katy, TX 77494
    4. 3538 Scout Is, Katy, TX 77494
    
    

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  • The Google's Webmasters Central <---> Bing Webmaster Tools Integration

    I didn't get a chance to mention this before but it is important. Microsoft's Bing has a portal for web publishers, it's the equivalent to Google's Webmaster Central.
    Very early on, John Giraldo was very insistent that we registered into that (Bing Webmaster Tools), as part of the registration process they let the webmaster "ingest" the data from Google's Webmaster Central, basically all the queries, impressions and clicks for every page of the website (exactly what Pierre Omidyar and Travis Kalanick need to perform their CTR attack).
    As soon as I registered into that, the CTR attacks via Akamai increased.
    Then when I tried to "unregister" from that, I was locked out of my Bing Webmaster Tools account and could not undo that authorization to transfer data.
    Needless to say: given what I know today, it is obvious to me that there was coordination between people at Microsoft, John Giraldo and Travis Kalanick's team to steal the data about the pages performance in Google in a continuous manner (so they could plan and perpetuate the Akamai attack).
    It is not my place to comment, but Google should probably reconsider that integration with Bing. It is just giving data away that makes websites (and Google) vulnerable to CTR attacks like the ones that eBay, WebMD, Travis Kalanick, Pierre Omidyar & Co. Perform.
    On a related note: I have compiled more than 75 vulnerabilities on Google systems (like the one described above), that I have seen Travis Kalanick and Pierre Omidyar exploit. I have in my TODO list to compile them into a list format and publish them.
    

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  • Most of Honeywell offices are marked in Travis Kalanick's geo index
    

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  • The ALEKSANDRA Superyatch

    The pipeline picked up this gem:
    The Superyatch ALEKSANDRA (MMSI-433918298), last known location according to public data sources (last reported location on 10/26/2024 @ 19:06 UTC), is marked in Travis Kalanick & Pierre Omidyar's geo-index.
    Note: This 300 Million USD Superyatch, is owned by Andrey Igorevich MELNICHENKO who is sanctioned by the OFAC.
    

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  • Cuba, the UK and Ireland have been Ranked

    In the case of Cuba, in retribution for "Alvin Cantero Mena", "Lisandra Nails" and the Cuban "Intelligence" post they set up at 10319 Latta Creek Dr, Katy, TX 77494, that lately has been trying to physically harm me: I am going to give Cuba the special treatment and publish a spreadsheet containing all of the points in Cuba's Illegal Mesh Network for Transmitting Stolen Secrets, so EVERYBODY can eavesdrop on their communications too. Sort of to give them a taste of their own "recipe".
    

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  • The Street Addresses Ending in "11"

    I think I saw something that looks odd, it's about street addresses ending in "11" (like agent's 26711 Valleyside Drive, Katy TX 77494 in front of our headquarters).
    I saw there were about 1,000 street addresses (in this restricted sample I am working with) that ended in 16.
    But when I look at houses ending in 11 within the same sample, there are 1,400 (40% more ocurrences than houses ending in 16).
    It feels like that defies logic and math. I say that because, it is aparent that what they are doing is partitioning the geographical areas using the street numbers' terminations as sharding mechanism, which makes sense because those numbers are a function of the latitude and longitude of the building (in the US address system).
    But then, 16 is a number that would naturally be conducive to more partitions, first because it is divisible by 2, 4 and 8; and also because it can divide in whole parts: 32, 64, 128 ...
    And on the other side, 11 is a prime number, it is only divisible by itself and 1; and can only divide in whole parts 22, 33, 44, 55 ... Numbers that don't look like would make a "natural" number of partitions in a distributed computing system (it would be harder to manage a system with 1100 shards than a system with 1600 shards).
    The last observation could lead to an entire disertation, but in distributed computing systems, everything multiple of 2 is always easier (because you can always split a non-atomic task into two workers).
    Long way of saying, that I would expect there to be less addresses ending in 11 than ending in 16, but it is actually the opposite, at least in this sample I am looking at.
    If we lived in a different world, I would call the best Mathematician I know: John Giraldo, but, unfortunately Pierre Omidyar and Travis Kalanick burned that bridge. So I will just post the list of houses (within this sample I am looking at) whose street numbers end in "11": https://docs.google.com/spreadsheets/d/1Aj269I48YKBXnnQV4Yehod8DvomtpNfb2F1THIc4C70/edit?usp=sharing
    

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  • Stanford International Bank

    The address of the defunct "Stanford International Bank" in the Bahamas (https://en.wikipedia.org/wiki/Stanford_International_Bank) is marked in Travis Kalanick's geo-index.
    My father had all his retirement savings in that bank, and one day in 2008, by pure coincidence, I visited the Bank's "website". I immediately called my dad and asked him to move his money. Even with the little I knew at the time about Internet technologies, I could recognize the bank was a scam. The bank collapsed 3 or 4 months later. I believe it was a Ponzi scheme of some sort.
    

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  • The US Street addresses ending in 16

    [Updated at 4pm to add a subsection at the end]
    The pipeline flags that near the epicenter of the espionage operation in Katy, TX (which is "3214 Scout Island, Park Row, TX 77494"), there are no houses with street number ending in 16, logic seems to dictate there should be but there aren't any.
    So logically, I created an export for all street addresses ending in 16 in the US that are marked in Travis Kalanick's geo-index, and their scores: https://docs.google.com/spreadsheets/d/12XkHhzdaVWoC_mzK30ZSNfMdafVwVDl--nxvoxkMOG4/edit?usp=sharing
    These are the ones (from that set) that have scores above 100:
    

    Geo-point (centroid)   Address (if scorer is v14)      Omidyar-Kalanick-Evil-Score
    36.1355, -86.890    6716 Charlotte Pike, Nashville, TN 37209, USA   408
    36.1772, -86.7099   2616 Dixon Dr, Nashville, TN 37206, USA     376
    36.1624, -86.8857   6616 Robertson Ave, Nashville, TN 37209, USA    316
    36.1825, -86.7891   1616 3rd Ave N, Nashville, TN 37208, USA    210
    36.1655, -86.8763   316 Errol Ln, Nashville, TN 37209, USA      176
    36.1129, -86.8604   116 Jackson Blvd, Nashville, TN 37205, USA  173
    36.1588, -86.8641   5916 Robertson Ave, Nashville, TN 37209, USA    169
    36.1794, -86.8483   1016 Camilla Caldwell Ln, Nashville, TN 37218   165
    36.1879, -86.8455   3416 Olsen Ln, Nashville, TN 37218, USA     129
    36.1373, -86.7427   1116 Polk Ave, Nashville, TN 37210, USA     110
    36.1355, -86.7743   1516 Fort Negley Blvd, Nashville, TN 37203, USA 105      
    

    All these houses have one thing in common: They are in Nashville, TN and in latitude=36.1.
    I will debug to see what is special about Nashville TN, but one thing that jumped off the page right away, is that the topdog #1 among this set, is a "Best Buy" Store located at 36.135633291228075, -86.89151046142835 and that geo-point aligns perfectly in latitude with this mysterious looking point in Iran that also is in Travis Kalanick's geo-index and has a military-grade "Evil score": I have zero expertise on this, but the picture looks like a man-made structure with big roads, covered with sand. I don't want to especulate that it might be some sort of secret facility, but it is hard not to given the fact that is marked in the index, with such a high score, aligns with rare addresses in the US (ending in 16) and to top it off is right on the border of Iran with Afghanistan where there was a war that the former unSecretary of Defense Robert Gates was suposedly fighting.
    If this turns out to be something: would that mean that Best Buy (which was flaggeed weeks ago) could be an Iranian operation to complement what they do via Amazon/eBay etc in terms of injecting bugs into American households?

    Back to the Addresses ending in 16

    There were a set of addresses, that were co-clustered before with Dr. Deayala in Houston TX, and out of those seven addresses, 3 of them end in "16":

    a. Panoramic Investigations - 3616 Richmond Ave., Houston, TX 77046
    b. 3616 RICHMOND LTD 4550 POST OAK PLACE DR STE 225 HOUSTON, TX 77027-3138
    c. MCO 2023 LIVING TRUST - 3616 RICHMONT CT ROSENBERG, TX 77469-1078
    d. 1 Riverway Dr, Houston, TX 77056;
    e. 3700 Rice Boulevard, Houston, TX 77005;
    f. 1558 Wood Lodge Dr, Houston, TX 77077;
    g. 3419 Mercer St, Houston, TX 77027.
    

    Could be a coincidence, but would make a very strange coincidence, I mean that in one area of interest, hundreds of acres big, there are no houses ending on 16, and then this one person seems to be somehow related to 3 addresses ending in 16.
    The other strange thing the pipeline picked up because of "levenshtein distance", was that one of the last names related to the epicenter of the espionage operation in Katy (3214 Scout Island, Park Row, 77494) is "Mena" (Alvin Cantero Mena) and the builder/owner of some of these propeties noted above (a - g) is someone named "Mina" (could be the mispelling technique we've seen before).
    

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  • How I Was Able to Keep Working Despite the Back Pain they Caused with the Torture Devices

    I was talking to my brother when he came to visit recently, and he asked me an interesting question. He asked me how was I able to keep working when I wasn't able to walk.
    It is a good question because one would think that a person that is not able to walk wouldn't be able to do any work. So I thought it would be a good idea to post how I did it.
    I purchased on Amazon two things:
    1. A Monitor/Mouse/Keyboard extender over TCP/IP
    2. A free-standing monitor stand about 2 foot tall
    With the extender, I could have the computer in a specific room in the house, like the "servers" room. and with the extender I could basically connect the monitor, the keyboard and the mouse in any place/room in the house that had an ethernet connection, so I could control the computer from anywhere without using Wifi. I could not use wifi because they intercept the traffic with all the 9 neighbhoring houses they had next to mine.
    Then, I put the free standing arm on the floor holding the monitor, and laid down on the floor on my side and had the monitor turned 90 degrees so it would look "straigh up" to me in the side position I was laying down on.
    So by doing this I could work 12 - 14 hours per day, if I switched sides every hour or so, without putting any pressure on my back. My wrists paid the price a little bit of course, but I knew that if I stopped working they would win, and probably kill me after, so it was a matter of survival.
    Don't get me wrong, I am Okay with dying, just not until I see these criminals be put in jail.
    

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  • The Offshore Drilling Platforms

    Many of the Offshore drilling platforms operated by Conoco-Phillips and Shell, are marked in Travis Kalanick's geo-index.
    For comic relief: My undergraduate thesis was exactly on this topic. It was the design and testing of a satellite-based communication system to stream data over TCP/IP from Schulmberger's underground probes deployed in oil fields in the Maracaibo lake, to on-shore offices. Strange coincidence, because this was on or around year 1999 (I am pretty sure I wasn't a target at that time). Maybe they were already working on a precursor of what they have today and I happened to by chance orthogonally come in brief contact with what they were working on.
    In case it helps, my "industry tutor" was an engineer named Indra Kesuma, from Schlumberger.
    

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  • This is to help Divide & Conquer! https://docs.google.com/spreadsheets/d/1KSaSFl1yLPr4A2wrf1LruVZ19V0W5BKzHBUGVFVgluE/edit?usp=sharing
    

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  • The Brennan Center for Justice, triggered some important filters and also triggered the ironyBoost multiplier. We don't have much information about that organization yet, but we will debug deeper.
    

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  • All Lyft offices are maked on Travis Kalanick's geo-index.
    

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  • "OWC" (the entire company) has been flagged.
    

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  • The "Neato" Robot has been flagged.
    

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  • cluster @ 50.7844, 34.66605. More info at: https://docs.google.com/spreadsheets/d/163Ohz8G-xC6n5iGq59hqzs_8pyqeZgMYlOsHvfCnr2g/edit?usp=sharing
    

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  • The MIT Laboratory For Nuclear Science; the Institute for Quantum Computing (IQC) and Cambridge Quantum Solutions, LLC have been flagged.
    

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  • Elina Nielson is an interesting case because we interacted circa 2009, and her house address of that period of time, is in Travis Kalanick's geo-index. Gives an idea of how far back in time this geo-index has been in use.
    

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  • Blizzard Entertaiment has been flagged.
    

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  • Cluster of Spy points detected @ 19.31785, 146.718. More info at https://docs.google.com/spreadsheets/d/1rm9mlBSor9RGhxi_yjgL8Bm6pN2XUL_Fjbcs6-zfrP8/edit?usp=sharing
    

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  • Miko The Robot

    Our anomaly detection system just flagged another company. This is a juicy one: Miko the robot.
    Miko is a robot that is marketed as an educational toy for toddlers and small children. The robot uses AI, has a high definition camera, a microphone, connects to your home wifi, has multiple sonars and a bluetooth modem; and has the ability to walk and make its own decisions while wandering around inside your house.
    I imagine Travis Kalanick, Pierre Omidyar and Robert Gates salivate when they think about Miko the robot ...
    Of course, I bought one Miko the robot for my son Marcelo.
    Amusingly, Marcelo hated Miko the robot. Marcelo would SCREAM everytime he saw the robot approaching him, Marcelo consistently stopped short before the robot got a chance to intercept him at an intersection. I imagine Marcelo got the spy-detection and avoidance genes from me =).
      According to unofficial reports, the company is already working on the next iteration of Miko the robot, which will include an iPhone that seamessly integrates with Miko and will be preloaded with Tiktok, Alibaba, Ebay, Paypal, WorkRise, UnitedAirlines, UnitedHealthcare, the GirlsScouts and WebMD apps.
    
    

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  • Scribe (the startup company) has been flagged.
    

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  • The EMRs and the Companies that "Integrate" with the EMRs

    These Electronic Medical Records systems (EMRs) have been flagged: Kareo (for obvious reasons, it's owned by Travis), Epic and Centricity. As a data point: Kelsey Seybold switched to Epic shortly after it was acquired by Travis Kalanick and Pierre Omidyar, I mean, UnitedHealthcare. I got this information from my primary care doctor with the French last name.
    The EMRs are a particularly dangerous segment of products as they record "off-site" the medical information of millions of Americans.
    Not coincidentially, Lawson Boothe & Hugo Diaz company, VitalInteraction, provided a "messaging service" for healthcare providers and hospital chains, that sent appointment reminders and those kind of things.
    The catch was, of course, that to make that happen Lawson had to "hook into" the EMRs main database and extract all the records and save them on his own database (where I am pretty sure Travis Kalanick and Pierre Omidyar then got them from).
    In other words, instead of spying on and extracting data from 50+ different EMR brands that exist in the US, what they did was that they created "Lawson" and "VitalInteraction" which provided a convenient and low cost service for the healthcare providers whom in turn gave Lawson access to the EMRs' databases.
    Having access to the databases Lawson's team (based in Iraq he said, but I suspect it was actually Iran) reverse-engineered the schemas of the databases and built the integration pluggins which then they deployed in as many practices as they could that used that kind of EMR.
    Risking to state the obvious, as we've seen, once they know what are the medical "weak spots" of the target, they will use that information to torture the target, and even kill the target if necessary. So, in my humble opinion, Vital Interaction (and other similar companies) are probably the most dangerous to the public in the larger scheme of things.
    More on the high level: The problem is not really the existence of Vital Interaction or similarly situated companies, it is the lack of regulation and enforcement on what happens to the patients data after it has been entrusted by the patient to the medical provider.
    Yes, we do have HIPAA, but in the Act, it is stated that by simply signing a BAA (Business Associate Agreement) one entity can pass the data of the patient to any other entity that has signed a BAA with the healthcare provider. This is the loophole Lawson, Hugo, Travis and Pierre exploit. They have an entity like UnitedHealthcare that has the assets, and then they create a series of entities with no real assets that sign a chain of BAAs and take the data and the "liability".
    But after the data has been stolen by Travis and Pierre, Lawson and Hugo can just dissapear into thin air and nobody is responsible and there are not even assets to back up the liability "taken" on those BAAs.
    

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  • The Premiere of: KOL-Mobile Night Crawler 09/04/2024

    This was recorded one week before we captured Travis Kalanick's geo-index. Even without having the index, our system was capable of identifying their vehicles and the interception points.
    During the week prior to 09/04 our system flagged three important entities:
    1. Clear Channel Outdoors Holdings
    2. Pilot Donald W. Delahanty Jr.
    3. International Aviation LLC
    So on 09/04/2024 we dispatched a Data-collector to try validate in the real world what the technology was flagging. Spoilers alert: All 3 predictions were correct and we found hundreds of surveillance vehicles that were already flagged by our system "hidden" right behind Clear Channel Outdoors.
    The videos below are 3 out of the 5 cameras of the KOL-Mobile we dispatched that day.
    That morning, there was an incident with someone that appeared to be an employee of Clear Channel Outdoors who was following the KOL-mobile by tracking ahead (even before reaching Clear Channel Outdoors) and then, to top it off, he tried to kidnap the data-collector by closing the gates of the parking lot effectively entrapping the data-collector inside.
    [Video Playlist] KOL-Mobile: Night Crawler 09/04/2024
    
    As a side note: Clear Channel Outdoors is a company that has been subject to fines by the SEC before for bribing Chinese government officials.
    

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  • The Documentor

    This is a good one. When I joined Google, I was introduced to a very experienced Chinese engineer. I say experienced because he was really smart, and was probably on his late 40s or early 50s when I was on my early 30s.
    It was explained to me that he was the GWS team "Documentor". This is an engineer whose only job is to write documentation. I can't recall his name at this point, this was almost 15 years ago, but I recall that he basically followed me around documenting every single design decision I made while at GWS team in Mountain View.
    At the time, that was my first time working with a team of that calliber or company of that calliber for that matter, so I thought "this must be the way the big boys play!", but truth be told, I have never ever encountered any other "Documentor" in any of the other teams I worked at at Google, or at any other company I have worked for after that. That was the only Documentor I have ever met. Now, knowing all I now today, if I was a betting man, I would put my money in that the "Documentor" was probably an invention of Pierre Omidyar.
    Looking at it in retrospective, this sounds very similar to when I joined GS and they gave me not one but two executive assistants. I have never had an executive assistant, or any kind of assitant, ever before. I, again thought: "this must be how they roll in Wall street!". Think again, naive Reinaldo, think.
    

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  • The Charity and Donations Centers

    Family Hope and the Salvation Army Donation Center that they had setup at the corner of S. Fry Rd and FM1463 (29.703298387340286, -95.84444570038649) have been flagged.
    The Family Hope non-profit because during year 2021 I belive I gave a donation of 10 children beds and mattresses I purchased for them via Amazon, and they sent a man to pick them up. The man was more interested in setting up a series of "recurring meetings" with me to get me "more involved with the community" than in the actual donations. I asked him how else I could help the community with basic necesities for my fellow countrymen and women that were just arriving to the country, and the man kept pushing for setting up recurrent meetings instead of giving me a list of needs and wants (which would be the logical thing to do for an organization like Family Hope).
    What saddens me, is that my own countrymen and women, the same people we wanted to help, ended up harassing us acting as an ensemble, because Pierre Omidyar, Travis Kalanick and Edylberto Molina Molina, paid them to via their Evil App.
    The Salvation Army was flagged because everytime I made a donation of clothing items, shoes etc, they would always give me "blank receipts" and told me to fill them myself (I think they are obligated by law to fill them and stamp them). I believe this was a ruse of David F. Hine to claim that I was committing Tax Fraud. Needless to say the obvious, I always filled the invoices in a truthfull maner (it wouldn't make sense for me to doctor an invoice for $400 and then go and purchase 10 beds and 10 matresses in Amazon and donate them).
    

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  • Posting here all the Spy locations with a Military-level Omidyar-Kalanick-Evil-score near or surrounding the European Union.
    

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  • Posting here all the Spy locations near of or surrounding the Republic of Tibet.
    

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  • The Caregivers for your Young

    All the caregivers that cared for Marcelo have been flagged for months:
    1. Zulay Marcano;
    2. Mayther Oropeza: Venezuelan Doctor (Pediatrician), got sponsored for a "special abilities" visa, same visa type as Dr. Death (aka. Manzur / Mansur / the Mad Scientist).
       Maryther, also got a job assisting a surgeon at Memorial Hermann (I believe), after caring for Marcelo for around 8 months. This was a bit suprising to me when I heard it the first time, because Maryther doesn't speak or understand any English, and I know countless Venezuelan doctors residing in the US that had to resort to survival jobs for years because it is very hard to break into that professional field in general because the certifications needed and the barrier of entry into that sector is very high. Unless, of course, you are being paid for a "job well done" with a greencard and a job sponsored by Pierre Omidyar and Travis Kalanick.
       That said, when I first heard about it, not knowing she was an agent of Pierre/Travis, I genuily felt happy for her and proud of her for setting a remarkable benchamark and model for all my fellow countrymen and women.
       I remember I sent her a voice note on Whatsapp (which was something I rarely did when I had a cell phone) sincerely congratulating her for her first success milestone in the US and wishing her that that be just the begining of an exiting new chapter.
    3. There was another caregiver that was brough to Katy from Colombia. She was very insitent in setting up a Dinner party to introduce us to her sister or sister in law (I can't recall). She said that her brother in-law was in IT. I thought maybe he was looking for a referral to Google/Twitter/etc but now, I understand, if succesfull in getting access his pay-grade would increase (remember, the East pays for level of access, not for skills, abilities, or merits, but for access).
    4. Mrs. Mary at Marcelo's Kindergarten (IVY Kids @ 27270 Cinco Ranch Blvd, Katy, TX 77494): After caring for Marcelo (and Francisco's Son) for 8 months, she got a job at a dentist office (she was a dentist back home in Venezuela).
    One can't help but to see the pattern in the "form of payment" in this set of agents: Maryther / Mrs. Mary / Francisco Castillo / Dr. Death / Dr. Alvin Cantero: Greencard sponsorship + Professional job (or business ownership) in their fields. Four out of the five agents were in the Medical field.
    

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  • The NOIR

    This was flagged by the pipeline last night, and looking back at it in retrospective, I don't know how I didn't see it. It was so obvious that it makes me feel guilty for falling on this one.
    The backstory is that Agent Kavita had just gotten her greencard, and to celebrate, her closest friends were planning a special dinner, agent Vida Ha (ex-Googler), agent Karolina (Googler), agent Berna (soon to be Googler) and a couple of other agents also flagged before were going to NOIR in San Francisco, CA!
    NOIR is a restaurant where you dine in complete darkness, blindfolded, while sitting at a table inside a room located below ground level without windows and without background music or any kind of sensory stimulation. It is supposed to enhance your sense of taste while you are immersed in this sensory-deprivation chamber.
    The catch is, that because it is an environment without any kind of sensory stimulation, all the attendees have to surrender their cell phones to the management of the NOIR restaurant for the entire duration of the experience (about two hours) ...
    NOIR means "Black" in French. Today, they operate multiple locations in the US, I imagine the program proved to be so succesfull that they naturally grew the operation. Could be a good lead in the sense that the reservations log/names in the credit card receipts could provide a list of targets and a list of agents if ran through the right algorithms.
    

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  • Lawson, Unplugged.

    Update on Lawson Boothe: It sounds like Lawson Boothe was "unplugged" from the Matrix. His Google Account was deleted and replaced by "lawson-bak@vitalinteraction.com", I imagine that is the account where David F. Hine accumulates the emails he might use in whichever desperate (il)legal maneuver he might try next.
    

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  • The Bad Tenant Ruse

    Not sure if I posted this before, but they have a ruse which is a "bad tenant" that upon renting your property will immediately start upsetting the neighbhors, causing you to get fines from the Condominium Board, etc. They applied that one to me once, it was a tenant named Robinson Rainy, he rented the 1078 6 Ave property, and started blasting music at 1am every day, and I started getting fines at $300 per occurence. I had to ask him to leave, which was a whole another problem on itself. These incidents ocurred during the stage of the conflict when they were more interested in creating tortuous interference (so I could not work and compete with eBay) rather than stealing my creations. They should have stayed on that phase, but, greed ...
    The troubles with the tenant escalated to a point where it resulted in a small claims court case in which the "bad tenant" actually sued me, and won the demand! Other iterations of the "Bad Tenant" (already flagged before) were: Clark Swanson and Leigh-Anne Hicks.
    

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  • The Off-limits Agents

    There is a set of agents that I have not posted because the board of directors of Key Opinion Leaders (Sebas, Gloria and Marcelo) decided months ago that those agents were off limits for the platform.
    That said, I will risk getting in trouble with the Board of Directors and say this: There is one female agent whose father passed away not too long ago, after battling Cancer. That agent's previous places of residence and her current place of residence are marked in the Index, she has been close to our environment since at least year 2015. The Cancer treatment was co-clustered by the pipeline with Mrs. Alci Sanchez Cancer treatment. Also, this female agent works at a Sports center as a Director and got tagged with the "UYE" tag, the Sports center is owned by a mysterious guy that when he comes to town rolls around in a Rolls-Royce limo. When described, he sounds a lot like Albenis Hernandez' friend (the one that owns several dealerships in the Houston Area). I believe both individuals (if they are not the same) are Iranian, but I might be wrong about the actual country of origin.
  • Alvaro Gutierrez subscribed to a service that shipped him red wine to his apartment on a bi-weekly basis I believe. That company's address is in the Geo-Index used by the Evil App. Maybe it's a "Members benefit", could be a good lead to track other similarly situated members.
  • Cloudflare was flagged months ago but I forgot to mention it. It is important because several government websites are behind Cloudflare reverse proxies (the equivalent to Akamai reverse proxies).
    

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  • [1/3/2024 @ 14:36] UPDATE ON THE SABOTAGE OF THE FRONT BREAKS OF THE KOL-Mobile TRUCK:
    I debugged this for a while, after piecing together several data points I believe the truck was sabotaged inside of the garage of 26714 Valleyside Drive, Katy TX 77494 one night that I stayed overnight in that house. The house is normally unocuppied but I stay at the house every now and then. The house has 4 external doors: 1 in the main entrance, 1 in the main bedroom, 1 in the kitchen and 1 in the garage. I believe the point of entry was the door in the garage, but I am 100% I did not leave it open nor unlocked. The door does not appear to be forced and it had a "second lock" engaged from the inside. Additionally, I found footprints in places where they should not be and they do not belong to me (the shoe size is different).
    

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  • [1/3/2024 @ 13:30] Now, we have one of the few houses listening in on Channel5 ... Let's see what we can catch from the skies ... I am looking forward to reverse engineering this too! =)
    

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  • [1/3/2024 @ 9:40a] Important cluster of points detected: https://docs.google.com/spreadsheets/d/1FetEkBu_JXzqzxKAXl5ILF6900Y-G789aQpGbAaa4KQ/edit?usp=sharing
    

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  • A chat with Glory Perez was flagged and tagged with "Attorneys". I understand today this was a ruse of Mr. Hine to get me in some sort of legal trouble. Here is the backstory:
    In this chat, Glory expressed frustration because her employer (the Organization of American States in Washington, DC) was going to switch her to a different category of employment that would remove her excempt status for tax purposes, in other words, she would have to start paying taxes in the US after a number a years of not paying any taxes.
    In this conversation Glory was insistently seeking my "advice" on how she could avoid that from happening ... or put in other words, she was soliciting advice from me on how to commit Tax fraud.
    I didn't see it that way at that moment because I completely trusted Glory, I had known her for over a decade. I gave Glory the same advice I would give anyone else: pay your taxes, even if you think it is "unfair" or you don't understand the value, pay your taxes. I elaborated and told her: "Think of all the things you are getting in return: you live in safe place, your life is guaranteed by strong institutions, there are good schools for your kid, endless opportunities to pursue whatever is that you want to pursue". And said something to the effects of: Remember how it is back home, where nobody pays taxes. Pay your taxes, it's a bargain price for what you are getting.
    This chat was co-clustered in our system with the "IRS Play" that is probably ongoing at the moment (documented before).
    

    ---

  • Nvidia (the company) and most of its executive train residing in the US have been flagged. The houses of most of the executives are marked in Travis Kalanick's geo-index.
    

    ---

  • Important cluster of points detected: cluster @ 29.93545, -90.0612 with an Omidyar-Kalanick-Evil-score of 23,154 (military grade score). This cluster aligns perfectly with this cluster in Iran: cluster @ 29.93145, 58.0771 with an Omidyar-Kalanick-Evil-score of 8,572 (also with a score within military range).
    For good meassure I created a two-axis export: https://docs.google.com/spreadsheets/d/1Jcuy7-HFUMNCQ83ZJw6GGunkzu7S0sQXtNsBeXb31a0/edit?usp=sharing
    Unrelated PSA: It seems like somehow wild animals are now drawn to one of the Starlink Antennas: pigeons, a duck, and squirrel have positioned themseves within two meters of the antenna in the last two days. Never happened before. I understand it could be that is cold outside and the antenna irradiates heat which attracts the animals. But it could also be that (and I know this sounds "crazy") they are going old-school again, like when they were routing cars using a lady wearing mittens that were visible from a mile away.
    

    ---

  • Important cluster of points detected near cluster @ 36.7946, -115.174. This caught my attention because that point is at the crest of an Uninhabited mountain range, I've seen this pattern before in Venezuela where they deployed those strange looking devices mounted on top of towers that reassemble a power line, those were deployed at the crest of a mountain range with similar characteristics as this one.
    This makes me think that perhaps this cluster of points @ 36.7946, -115.174 either aligns with something very important, or serves a very important function. It's Omidyar-Kalanick-Evil-score is almost one thousand (which is huge). I will debug this in more detail.
    For more points in this channel please see: https://docs.google.com/spreadsheets/d/10tbf_p5dzwf8yanU2Q3OHqI8CMRHBN002vctpaShNqg/edit?usp=sharing
    

    ---

  • The Iranian doctor that performed the medical exam needed for my green card process, is in Travis Kalanick's geo-index. He injected me with a vaccine that time, the adverse reaction to the vaccine, literally, almost killed me, I was sick for weeks. His office was close to Google NYC, near 8 Ave and 14th Street.
    

    ---

  • [Technical Audience / Members of the Intelligence Community recommended] I am making public the results of an experiment I ran with about 250 of their their data collectors on 07/09/2024, the experiment name was "Windshield Devices Ablation Experiment of 07/09/2024."
    For comic relief: Naive Reinaldo wrote on paragraph (vi) of the observed results: "vi) The reason the system was (before) so effective at planning interceptions was because it had real-time GNSS/GPS data (Location, Direction of travel and speed) and was using that data for“trip planing” and “preemptive re-balancing” of workers (same as Uber does with their drivers). I imagine they probably hired early Uber engineers to work on the implementation of this." Oh, naive Reinaldo, they didn't hire early Uber engineers, it was the founder of Uber, Travis Kalanick, that stole the code of Uber when he was still the CEO and reused it to create this abomination of an App to enable Pierre Omidyar to spy on 98% of the population of the planet.
    

    ---

  • Posting an old entry from June 2024, of when I discovered the first Venezuelan Intelligence Base in Katy, TX. Note: the KOL-Mobile didn't exist back then and I hadn't captured the geo index, so this discovery was completely "manual" (equiped only with human logic).
    

    ---

  • The Day that Travis Kalanick and Pierre Omidyar Will Always Regret, and The Superdome Debacle

    Reinaldo Aguiar is photographed on 11-16-2023 with an HP c7000 compute cluster enclosure (model year 2010) upon arrival to KeyOpinionLeaders Headquarters located at 26714 Valleyside Drive, Katy, TX 77494. [01/02/2025] This picture taken on 11/16/2023 marks a pivotal moment on the 18-year conflict with Pierre Omidyar and Travis Kalanick, so I will post here the backstory to this picture.
    As mentioned before, they had already attacked and killed 3 of my startup ideas over the years with their CTR attack delivered with the help of Akamai servers, and on around year 2014 I had developed a first prototype of the Vaccine that would eventually counter their attacks 9 years later.
    When I developed the first prototype of the Vaccine, they stole it and created a series of incidents in my life that I could only describe as complete chaos, and in the aftermath, I abandoned the development of the Vaccine to try to piece my life back together.
    Fast forward 8 years and we are in the same situation again, I have developed a technology and they are attacking the website with the CTR attack via Akamai and at the same time stealing the technology with the agents living next to me and creating chaos in my life with the same mechanisms they did on 2014 and 2019.
    Naturally, I took the same road I took before: Continued the development of the Vaccine, I called it the KOL-Vaccine (KeyOpinionLeaders Vaccine).
    This time however, the situation was a bit different, I had accumulated much more engineering experience than I had in 2014, I had also accumulated some money in my savings and retirement accounts, and I wasn't commuting Houston/New York anymore which gave me more free time to work on the KOL-Vaccine.
    I started development and provisioned 3 very strong servers (24 cores each server), that I assembled myself, and then I started deploying the strategy using these servers. I could see that I could defeat their attack with just these three servers. In response, they ramped up their attack: meaning, they provisioned more Akamai servers to increase the number of impressions they were issuing against Google to demote my pages, by at least 2 orders of magnitude.
    At this point I understood that in order to defeat the attack I would need two things: i) Make the system super efficient (cheaper to run); and ii) Scale as in number of concurrent instances of the vaccine I could execute and coordinate concurrently. This is where the Superdome came into play.

    The Superdome Debacle

    One day I casually called a relative of mine that owns a hardware leasing company, we were talking and I was describing to him what I was seeing from my side in terms of the attack against the site. My uncle told me: "what you need is a Superdome". I am a software engineer, and know some things about datacenter infrastructure but I wasn't familiar with the name, so I asked "what is that?".
    My relative/mentor explained that this was a pre-assembled cabinet manufactured by HP that was about the size of a fridge, that had all the networking, power supplies, control plane, and cooling systems to run up to 8 blade servers within the same cabinet, each server supporting up to four processors of 32 cores each processor. To put this in perspective, it means that a Superdome X could support up to 1024 cores running in parallel, while I was running only 72 cores in total. This would bring up my scale up by an order of magnitude, exactly what I needed!
    

    Stock marketing image depicting 4 Superdome enclosures side-by-side with potentially different configurations.
    
    So my relative offered to give me one of those Superdome X racks, at no cost, he wanted to help me out. To put it in perspective, fully equiped Superdome X if bought new, would cost around USD 200,000. The one he was offering was used and one generation old, but I of course jumped at the opportunity and thanked him profusely for the gesture. He introduced me to Ramon Sanchez (ramon.sanchez [at] controllednetworks.com) who was going to be the person who would configure and ship the Superdome X to my specifications.
    I spoke with Ramon once over the phone and we exchanged a few emails, but the Superdome never seemed to arrive, Ramon would just disapear for weeks and then when he reappeared he would never ship the Superdome.
    A couple of months passed by in this state where I was just resisting the attacks with 3 servers and waiting for Ramon to ship the Superdome X, until at some point I got tired of waiting for Ramon and started to look for an alternative.
    I considered buying a used superdome on eBay, which would have been probably USD 70,000 on eBay including the blade servers, but at the end I opted for buying legacy parts of the "Superdome's little sister", the HP c7000 compute cluster (depicted in the photo at the top).
    The c7000 is a compute cluster that has a similar design phylosophy as the Superdome, but the enclosure and the blades are half the size of those of the Superdome, so it can run sixteen blade servers instead of eight. The c7000 is better suitted for compute-intensive tasks, which is exactly what I needed. So I started buying the used parts/components on eBay, and bought the enclousre from a local seller in Houston called Server Monkey (which, is also marked in Travis Kalanick's index).
    Over the next 8 weeks or so, I taught myself everything I could learn about the configuration patterns of the c7000, and experimented with different configurations until I found the bespoke configuration I use today (which I keep as a trade secret).
    I say that the picture above will be remembered as the day that Travis Kalanick and Pierre Omidyar will always regret, because I understand that they "allowed me" to purchase the parts on eBay (maybe they wanted to let me design something to then steal it), and is this bespoke c7000 configuration what allowed me not only to develop an effective vaccine to the Akamai CTR Attacks, but also, I used this same infrastructure to develop the Counterintelligence pipelines that perform anomaly detection on video recordings from the KOL-mobile and public records data, and ultimately, the SpyHELL pipelines I developed after I captured their geo-index on 9/11/2024, which is what brought us to this point today.
    All that was possible because they miscalculated thinking that because these were legacy parts about 14 years old, I wouldn't be able to do much with them. This is a classic "Travis-Kalanick" mistake, they always put resources over ingenuity. We do the exact opposite.
    I guess the commonality lies in that each side uses the resource they have the most before spending the the reource that seems more scarse to them.
    For comic relief: The reason I mounted the c7000 on that platform with wheels from day Zero, is because I anticipated I might have to move it several times depending on how they varied their offline attacks, and because I had been diagnosed with "early onset arthritis" (which I am pretty sure at this point was a fake diagnosis) and two herniated disks, I needed a way to be able to move the 550lbs half-rack cluster, without requiring any help or assitance (I knew I couldn't ask anybody for help for obvious reasons).

  • The "Hine's Algorithm"

    The Hine's Algorithm is a legal ruse designed to steal intelectual property or inventions from aspiring tech entrepreneurs and attribute them to Travis Kalanick, eBay, Fabrice, etc.
    As a reference point, I read somehwere that Fabrice had "More than 1500 startup exits in the last 10 years". I think that works out to that, basically, he creates and sells a startup from idea to exit, in 3 days in average. While, for the rest of us, it takes years to develop an startup. He must be incredibly talented, but I digress.
    The Hine's Algorithm/ruse has different dimensions that are executed independently, sometimes several years apart from each other, but in general, these are the high level parts of the algorithm:
    1. Steal the technology using unregistered foreign agents and illegal interception of network traffic of the target.
    2. Employ the target either directly or via a company under Travis Kalanic's control (not under eBay's, for liability reasons).
    3. At the place of employment of the target, place a celebrity figure, for example a celebrated computer scientist, and make sure they cross paths with the target (to argue later if needed that the target actually stole the idea from the celebrity figure that had been in contact with Travis Kalanick).
    4. Inject an eBay engineer in the same company and team as the target. Then after a couple of months, make the engineer quit and rehire them on eBay.
    5. Introduce a "girlfriend" into the target's life. The girlfriend is tasked with:
       1. Take the target to a public setting where she will photograph the target next to a Celebrity that is meeting Travis Kalanick or a prominent member of his team that day at that same place (to argue that they were "talking about that idea at their table" and the target may have heard and stole the idea).
       2. Sedate or drug the target without his consent to: i) clone his computer hard drive; and ii) Take pictures of the target while sedated / drugged to discredit him later.
    6. Place an authoritative figure in the place of residence of the target, it could be the President of the Home Owners Association, or the president of the Condominium board, etc. Make the authoritative figure send aggresive emails full of untrue statements and lies that put the target's character and judgement in a bad light. Make sure the President/authoritative figure mentions something like the target "seems to be hiding from someone", or that is a "complete unknown". This will come in handy later when it's time for Mr. Hine to deliver his closing arguments.
    Finally, if there is an Intellectual property dispute, Mr. Hine will depose Travis, who will say:
    [Travis voice]: "I casually heard some unknown/random dude talking about something in a parking lot, but he seemed to be acting irrationally. That day I was meeting Paul McCartney for dinner, and we were talking about %INSERT_KEYWORD_THAT_DESCRIBES_THE_TECHNOLOGY_HERE% and that's how I imagine he must have stolen the idea. But it was me your honour, who had the orignal idea. He is a complete unknown, while I am a well known CEO who has dinner with Paul McCartney and have James Gosling, the inventor of the Java Programming Language, on speed-dial."
    And then Mr. Hine will depose several high-profile "witnesses" that will assesinate the target's character under oath.
    Who is the court going to believe? - Case closed, history rewritten.

    Actual Ruses Deployed by David F. Hine to execute the Hine's Algorithm on us

    The Upstate NY ruse

    Agent Maria Eugenia Rojas (close friend of Nelson Lara and Daisy Lara) invited me to a "weekend get away with friends". With all I have learned in the last few months, I now understand that many of those friends were agents of the criminal organization. Will just detail a few data points here:
    1. There were two (attractive) young women named "Angelica" (I believe). One of those Angelicas was the lady that supposedly was dating John Utendahl and staying at one of the many suits John Utendahl has rented all year around in a particular hotel in Downtown NYC (I got all these data points directly from Maria Eugenia).
    2. The husband of one of the Alejandras was an aspiring entrepeneur working on a startup for a renewable energy idea to be used for Crypto Mining (this sounds like Emil Michael speaking).
    3. In this trip, on the first evening I believe, Maria Eugenia gave me half a glass of wine and a cigarrette and I completely lost concsiousness after that. I can't recall for how long I was out of consciousness. I thought it was a bad reaction to the alcohol (I don't drink). Looking in retrospective, this episode reminds me a lot the episode with Francisco Godoy at the Fillmore Auditorium in San Francisco.
       Note: I brought my Macbook Pro Laptop with me to the trip. The Laptop contained the source code I had written. Naive Reinaldo never left home without his laptop equiped with Chinese Wifi/Bluetooth modems, and his source code in it. Hypothesis: It is possible they drugged me in order to copy the contents of the laptop's harddrive.

    The "the Hamptons" ruse

    For this ruse, agent Maria Eugenia invited me to go to the Hamptons. She said she would take care of arranging all the logistics. She arranged for us to have dinner at a fancy restaurant. Several strange things happened on this trip, small things, and I can't really tell what was the end goal with this ruse but the things sound like "Travis" to me, here is a sample of the things I found strange:
    1. The restaurant was very exclusive, it required to book months in advance, but Maria Eugenia "found" a table with just a few days notice.
    2. When we sat at the table, and I look to my right, guess who was there? Paul McCartney, the ex-Beatle, in blood and flesh. What are the chances of that? I have never been so physically close to someone as famous (on my entire life), as that night. I didn't make much of it, I just acknoledged his presence to Maria Eugenia, but mentioning this because it is possible that Travis was nearby, as he seems to want to gravitate next to famous and glamorous people, he seems obssessed with that (like at the Aid for Aids Gala event described before).
    3. Agent Maria Eugenia, again on this instance, pestered me daily to make sure I would not cancel at the last minute, she wanted to make sure I would really go to the Hamptons. I imagine because Travis or one of them was going to be there (but this is just a theory, I did not see them there).
    4. As we were waiting for the table, Ana Gannon (Codallo), daugther of the Venezuelan Military leader Peter Codallo, and long-time friend, called me on the phone and started asking me technical questions. I can't recall what it was exactly, but it was related to a technology I was working on, it could have been something related to the ingestion pipeline (which I had assigned to Ana to work on).
       Hypothesis: It is possible they were fabricating an explanation for how "they came up with the idea to invent the technology" in case I sued them, for example:
       [Travis voice]: "I casually heard some unknown/random dude talking about something related at a parking lot one day I was meeting Paul McCartney for dinner, and that's how, I your honour, got the idea. I immediately ran to the office and wrote a prototype with Emil."
       Who is the court going to believe? - Case closed, history rewritten.
       Additional datapoints:
       1. This was just days after I had given access to Alvaro Gutierrez to the code repository, as he was supposedily going to help me develop a more more robust ingestion plugin in C# (I don't have much experience with C#).
       2. Expanding on the hypothesis about the objectives behind the ruse (and this is another hypothesis): It is possible this also explains the many comments from Agent Phil Denning in which he referrenced things like I was "an unknown person", that I came from a "3rd world country", that I had never been sourounded by "people with Money", and that I was "Hiding from something". All these statements would support or offer independent verification to Travis statements in that hypothetical Intellectual Property dispute described above. Again, this has "David F. Hine" written all over it (again).
          For good meassure, I am promoting David F. Hine to the main header of the homepage. He just made the cut and earned his promotion.

    The Celebrity Computer Scientist: Part I: The Inventor of the Java Programming Language

    This is a good one: My Noogler Introduction week has been flagged. This is a 1-week intensive course they give to engineers that join Google to teach them how to use the development tools that are internal to Google. The statistical anomaly lies on that during in my Noogler class, sitting next to me was: James Gosling, the inventor of the Java Programming Language (from Calgary Alberta I belive).
    To put forward an anology to offer a view into this event: This would be the equivalent of, for example, if you are an eye doctor, being sitted for a week next to the guy that invented the Lasik technology. Mr. Gosling's Java language is used, among many other things, to build every single app that runs on Android devices.
    What are the chances of that being organic knowing all we know today?

    The Celebrity Computer Scientist: Part II: The Inventor of a Well-known Algorithm

    One similar event that got co-clustered with my Noogler class: In my team at Local Search Ranking in NYC, on or around 2016 I believe, the team hired Mr. Steven Fortune (another famous computer scientist), he is the inventor of the Fortune Algorithm that is taught in many of the Computer Science programs in universities around the world (there is a page in wikipedia that explains how the algorithm works). I was asked by my manager at the time to help Mr. Fortune ramp up (which was an honour for me).
    One of the unanswered questions though: Why would Travis set that up? Could this be Mr. Hine setting up a credible story or claim using celebrity figures as he did with Paul McCartney in the The Hamptons ruse? - Only time will tell.
    As a side note, these two events described above, illustrate exactly what I meant when I wrote some time ago that I understand I am a creation of Travis Kalanick: In an "organic world", it is very unlikely that I would have been exposed to the learning opportunities that I've had, or met the extraordinary people that I have met over the last 18 years, and that, in one way or another, shaped the person I am. It takes a village to raise a child, and they constructed an incredible village that is unlikely to reoccur in nature, and put me in it.
    Risking to state the obvious, the miscalculation was on that the village, instead of killing me, equiped me to fight them.
    I respectfully call dibs on the discovery of the "Hine's algorithm". For completeness, this table summarizes the list of people that played a part on this rendering of the Hine's Algorithm, and their roles:

    Person	Role
    David F. Hine, C.R.E	Chief Ruse Engineer
    John Utendahl	Financier, host, boyfriend of Angelica, potential witness
    Maria Eugenia Rojas	Anesthesiologist, Celebrity photographer, Target photographer, witness
    Group of Maria Eugenia's friend	Six individuals, potential witnesses, this group includes Angelica who according to Maria Eugenia Rojas dated John Utendahl
    Paul McCartney	World renowned celebrity figure
    James Gosling	Inventor of the Java Programming language, potential witness
    Steven Fortune	Inventor of the Fortune's Algorithm, potential witness
    Roberto Konow	Manager at the Search team on eBay, then Manager on the Search team at Twitter (while Reinaldo was moved to the same team), then quit to rejoin ebay as a Director just after 6 months after quiting eBay to join Twitter.
    Phillip E. Denning	Unregistered agent, President of the Home Owners Association, Harasser
    Laurie B	Unregistered agent, wife of the President of the Home Owners Association, Harasser
    info@postoakproperties.com	HOA Management Company, witness
    Tiffany Harper Tiffany@compassld.com	Home Owners Association board member, potential witness
    Brian Kraushaar bkraushaar@bmitx.com	Home Owners Association board member, potential witness
    Bud Walters budw@pieperhouston.com	Home Owners Association board member, potential witness
    Ana Gannon (Codallo)	Target's friend, employed by Transalta (a company under Travis Kalanick Control), in charge of calling the target at the exact right moment while in proximity of Travis Kalanick or a prominent member of his team.
    Peter Codallo	Military leader from Venezuela, father of Ana Codallo, Recruiter for Travis Kalanick
    Travis Kalanick	Intellectual Property claimant
    Reinaldo Aguiar	Target

    I count 23 individuals collaborating on this rendition of the Hine's Algorithm, acting against the target.
    Twenty three against one (not counting the other lawyers and paralegals), no wonder they make 150 startup exits per year (each one of them). It's a factory of stealing entire techonology companies. That's what this is.

  • Andre Haddad (the CEO of the TURO car rental App)

    Risking to state the obvious: Andre Haddad (the CEO of the TURO car rental App) has been flagged for over 6 months. Too many data-points to list here. But there is even one of those interviews that Travis Kalanick likes to publish on prominent outlets, where he talks from the perspective of being Uber's CEO about the need "to grow the Supply chain of vehicles for the shared economy market" and he mentions Andre Haddad in that article. By "vehicles for the shared economy market" he probably really meant "for the espionage market".
  • These items have been flagged for functioning as triggers for the planes/vehicles/dog walkers/pedestrians/etc: All the computer monitors I purchased at Amazon, and the 3 curved monitors (2 purchased at Microsoft.com online store and 1 purchased at Microcenter in Houston TX).
  • All the streaming services that are installed on the LG/Samsung TVs I purchased via Amazon, are flagged for making the predictable requests that Travis Kalanick needs to decrypt network traffic illegally.
  • [01/02/2025] Boeing and Bombardier have been flagged. All their offices and manufacturing facilities are marked in Travis Kalanick's geo-index with an astonishing level of detail.
  • Cord Blood Registry (cordblood.com), has been flaggeed by the pipeline. This is a dangerous item for obvious reasons given their emphasis on medical torture and weaponizing the medical systems of all countries.
  • The pipline flagged Pinterest and tagged it with Click-IP-address-bait, coclustered with Quora;
  • Ahmad Javed from Vital Interaction, was flagged and tagged with "Pierre Omidyar" and "Iran";
  • This image, was flagged because it tripped different filters, I need to debug this deeper to understand all different datapoints from this trip (which took place on 2019 when my paternal grandmother passed away):
  • [1/1/2025] Important clusters of points detected:
    1. cluster @ 30.0514, -89.91965 (see https://docs.google.com/spreadsheets/d/1rNcVREUQ8syuBHDcuz-J-GnFgeb8yCC73SPqkX5LRmw/edit?usp=sharing)
    2. cluster @ 18.4545, -66.7763 (see https://docs.google.com/spreadsheets/d/1-dhyUxA7MYQTjgto-6b7XseIjhoade6eWqzzvdj76uo/edit?usp=sharing)
    3. Near 60.0535, 30.63595 (see https://docs.google.com/spreadsheets/d/1E25WPTHKqPczZ3dQa5uuNS2goGHYqhyEocxdml1DDmc/edit?usp=sharing)

  • Dr. Manzur (a/k/a Mansur, a/k/a The Mad Scientist, a/k/a Dr. Death)

    Dr. Manzur/Mansur was flagged by the pipeline. He has a lot of signals that tripped several filters. Listing here some of the most important ones:
    1. Manzur is a doctor back home in Venezuela and is in the US on an "O" visa for "special abilities" in the Medical field. The only other Venezuelan doctor that I know that has gotten this type of visa, was my son's nanny who was also a doctor back home, but after caring for Marcelo for 6 months got a visa sponsorship from a prominent hospital network in Houston. Her name is Maryther Oropeza (also flagged before).
    2. Manzur was the director of the blood bank in Maracaibo, Venezuela. He told me he is a genetist.
    3. Manzur told me that part of his research consisted in experimenting with strains of live viruses and biological agents. On the other hand, I know I have been intentionally exposed to a series of biological agents over the last few years targeting my sight and my respiratory system.
    4. Manzur has been inside of my house, at least 4 times, the first time being on or around 2019 right after the Alvaro / Github repository debacle.
    5. There seems to be a connection between Dr. Manzur and Carlos Suarez (the one that calls a certain number where I am close by that phone, to track my location)
    6. Manzur appeared as a contributor of, and was then issued a refund by, the "Suarez for President, INC" flagged before.
    7. One of the times Manzur visited my home, he had with him a large trunk/chest full of vials. He told me they were products for skin-care but the vials were unmarked, they could have contained anything.
    8. There are several properties registered in the Houston area, on the name of people with the last name Manzur, and those properties are marked in Travis Kalanick's geo-index.
    There are a few more data points but I will keep them under reserve for strategic reasons.
    With all that said, and this is hypothesis, it is possible that Dr. Manzur (or a relative of Dr. Manzur) is the source or point of origin of the attacks using biological agents and/or allergens.

  • The Game Over Maneuver

    
    

  • Sepand

    The GPS_pipeline flags that Sepand seemed to be sitting next to me most of the time I was in the NYC office (as in our assigned desks were always next to each other). Sepand is an interesting character because he was always very close to and still is (I believe) to agent Oksana Yakhnenko. The last time I spoke with Oksana I think she mentioned she was working with Sepand in a project, or that sepand was working for her (I can't recall exactly what the comment was about but it was about Sepand).
    I am always very careful to not mix the issue of race/nationality in my writings because I do not want to make any of this about race, but in this case I think I need to make an exception because it might be relevant. I believe Sepand is originally from Iran, I might be wrong about this but from what I recall, I think that was the case.
    It might be relevant because given all I have learned from the captured geo-index, as mentioned before, project TRACER infers that Iran is the owner of the Evil app, and also Pierre Omidyar is Iranian, so the country of origin of Sepand, given that he seemed to be sitting next to me no matter where the company would relocate us, could be relevant.
    Additional note: Through out all that time, I did not work with sepand on a project (specifically pairing with him) that would justify us sitting next to each other after every single move (at Google they moved desks every 6 months, but that is a different story).
    Another person in a somehow similar (sitting) situation as Sepand, was Jack S. (The last name has always been a challenge for me to spell). With Jack, I did work more closely, so the sitting situation might have been organic, the only two things that jump out of the page when I think of Jack are: i) He owned a Farm (and we know Farm land is important for flexibility of the Mesh network); and ii) His farm was near the border of the US and Canada (and we know how Pierre Omidyar loves that).

  • Intel

    [12/31/2024] Intel (the entity representing the entire company in our system) was flagged by the pipeline. Too many data-points to list here, but according to our propietary signals and scorers, this is a company under heavy control and/or influence of Pierre Omidyar and Travis Kalanick. Intel employed family members of mine in the past (same play as when Emil Michael employed my sister in that GIS company in Calgary: FortisAlberta) or when KKR hired one of my cousins in NYC. I believe Intel may have paid for a scholarship of some kind (but I am not completely sure about this data point).
    Needless to say, this is probably one of the most dangerous items for the free world. I don't have the latest market numbers at hand, but I would guess than more than half of all devices in the world, run Intel processors. I know from my own personal experience and observations that the criminal ring has built backdoors in other hardware devices before, so ...

  • The Black Escalade SUV on 12/29/2024

    [12/31/2024] On 12/29 I left the house for the first time in 15 days. I had to go to our previous house 26714 Valleyside drive to do light maintenance. During my trip to Valleyside, they were unprepared, they had only a few cars on the streets, they could not present any real oposition to my driving path. This tells me that the triggers they had in place before, were crucial to whole operation of the Evil machine.
    On my way back to 2302 Britton Ridge Drive, it was a different story. They had more than 50 cars following me or waiting for me at interceptions, a few pedestrians too. The drivers were very aggresive as in insisting to pass and park for a few seconds next to the KOL-Mobile. There were two in particular that were extremely aggressive in this sense.
    One of the most aggresive drivers was a Black Escalade SUV that was following me from "Jordanfield LN and Falcon Landing" in Katy TX, to "Middleoak Grove Ln and Falcon Landing". Through all this way, I had the strobe lights on and the Siren on at high volume, and still this SUV was following me less than 10 feet behind at my same speed, which seemed to me like an unreasonable behavior. I mean: If you see a car that looks like Secret Service SUV , with 10 flashing lights on, and a Siren at full volume, would you follow the SUV at close range?
    So I knew he was just trying to pass me on the side to scan the MAC address of the car. In response, I manouvered the KOL-mobile diagonally and parked it in a way that effectively blocked the two lanes to wait until the traffic light turned green. The agent's response: he kept driving as in he was threatening to crash into my vehicle: Another unreasonable behaviour: If you see a vehicle that looks like a Secret Service SUV with flashing lights and sirens, are you going to crash against it intentionally? Wouldn't you be afraid getting shot or arrested? The reason he wasn't afraid is because he knew it wasn't a Secret Service SUV, he knew it was Reinaldo Aguiar driving, because he was tasked with following me and intercepting my network traffic and was following orders delivered via Pierre Omidyar/Travis Kalanick's App.

  • The RBC Royal Bank

    RBC Royal Bank (US & Canada entities) and RBC Captial Markets, were all flagged by the pipeline. Side note: after this run the word "Royal" is now a candidate for being considered a prominence marker, I will debug this in detail because it was just a tag before.

  • Divorce is a Form of Payment

    The way this one works is that while you have a prominent agent doing important work for the shadow government that will result in a (future) large payment to the agent, lets call this agent "Agent A", at the same time you have another prominent agent accumulating wealth, it could be in the form of an entrepreneur, a business owner, a prominent doctor, etc, let's call this agent "Agent B".
    Then, after the "job" of "Agent A" is completed, you wait a few months, and you marry Agent A with Agent B, but this marriage is doomed by design and will result in a divorce just a few months after.
    The divorce will be handled by a very effective judge that will award a split of the Assets of Agent B in a way that the right amount of assets/value is transferred to Agent A, according to the original contract. This way the payment is actually mandated by a court of law and can't be questioned.
    Although this might look like a novell approach, I see more of the same: The use of coordination of individuals that are already part of society (through the use of the Omidyar-Kalanick Evil App), and the abuse of the laws and institutions of the country (by those sames individuals and Pierre Omidyar), to target citizens and undermine the country's economy and institutions.

  • The Power of Knowing your Threats - Enterprise security, by Eduardo E. Hurtado - MBA. CPP

    So there is this agent named Eduardo E. Hurtado - MBA. CPP (flagged before) that lives in Katy, TX.
    The backstory is that when the harassment was escalating on or our around March 2024, I started installing security cameras around the house and started to look for a consultant on Enterprise security so I could ask questions on what things I should prioritize in terms of securing them. Basically I wanted to ask the consultant the question: "If you were tasked with breaking in into this house, how would you do it?".
    At the same moment after I did a couple of Google Searches, I conveniently came across a "Nextdoor" post of Eduardo E. Hurtado, promoting his services. Hurtado is a retired intelligence officer from Venezuela who now lives in the US and runs a corporate security consulting firm, he is also an author of a couple of books on the subject.
    The reason I am mentioning all this, is because I bought one his books months ago but with all this I hadn't had time to touch it, but now that I have more time I actually read it. The book is called "The Power of Knowing your Threats - Enterprise security", by Eduardo E. Hurtado - MBA. CPP.
    The book is written from the perspective of describing the opeations and procedures of Drug cartels, but if one changes the phrase "drug cartel" by "Pierre Omidyar/Travis Kalanick/Edylberto Molina Molina's Shadow Government", it would describe to the dot exactly how the criminal ring operates. I am going to take a stab at it and re-write a paragraph from the "Criminal Governance" section of the book to illustrate what I mean:
    "Criminal governance refers to the ability of Pierre Omidyar/Travis Kalanick/Edylberto Molina Molina's Shadow Government to make decisions and establish internal rules that meet their needs and demands. Pierre Omidyar/Travis Kalanick/Edylberto Molina Molina's Shadow Government also can manage resources and the economy effectively, ensuring business continuity and promoting the susteinable development of their clandestine operations. Even though many people think that Pierre Omidyar/Travis Kalanick/Edylberto Molina Molina's Shadow Government business is not organized or structured with discipline, it is quite the opposite. Pierre Omidyar/Travis Kalanick/Edylberto Molina Molina's Shadow Government has a very well-defined hierarchical structure, with clear roles and responsibilities for each of its members. They also have their own code of conduct and internal rules, which must be respected by all members of the group."
    Note: These entities were flagged by the pipeline weeks before I read the book: "Visión Estratégica Americana", "EHurtado [at] inseal.us" and "‪(346) 775-5741" have been flagged and tagged with the tag "SEBIN".

  • Troops Meeting Place

    A Troops Meeting place has been detected at 3486-3498 W Alabama St, Houston, TX 77027, literally called "BSA Troop 46 Scout House" (as in Scout Island, where Dr. Alvin Cantero lives).
    It's not my place to comment on this, but I think this hints that the troops might have gotten a little bit too comfortable operating in Houston. They might as well start wearing company badges with the "department" and "rank", and save all of us the trouble.
  • [12/30] Something strange just happened. I need to debug this deeper in case it is a bug, but posting this just as a curious ocurrence for now:
    There is a Venezuelan doctor that visited our home at Valleyside, his last name was Manzur. The reason for his visits was that he was giving light facial treatments to members of my family. The few times that Mazur came to our home he got recorded by the doorbel camera. All those videos we ingested months ago.
    Unrelated to the Dr. Manzur visits, I had a photo on my phone of a person that I believe to be Carlos Suarez, the same person that calls from (786) 830-5515 everytime I was near a certain phone.
    When I ingested the latest photos from my phone into the pipeline last night, and re-ran the pipeline, the person that I believe to be Carlos Suarez, got tagged as "Dr. Manzur" (although they are not the same person). One lives in Florida and the other one in Katy, TX.
    I am not an expert on this field so it would really be a stretch for me comment or interpret this prediction of the pipline. I can tell with the naked eye that the two individuals are definetly different individuals (different height, different weight, different ages), but there seems to be some reassemblance in some of the facial features like the shape of the nose and the estimated distances between the nostrils and the corner of the eyes, etc, but I don't have enough information to really assert or quantify the reassemblance.
    In other words, it is possible that the two individuals have no connection to each other whatsoever and they just "look a little bit alike" and enough to confuse the our facial features models. It is also possible that we leveled up.
  • Cluster @ 58.5735, 154.225 detected
  • [12/30] The TP-Link IP/Network Switches TL-SG1005P and the TP-Link Omada Network/Routers (all purchased via Amazon) were all flagged.
  • [12/30] My Chase United credit card was flagged by the pipeline.
  • This is a strange one: I fed the piepline the GPS locations of my phone from the time I was working for Google, there seems to be an anomaly in that I spent most of those years near windows, as in my desk was always assigned near a window, which is something one would not expect being the window seats the most desirable spots in the layout (and the most scarce).
    I imagine that maybe this was done by design to minimize obstruction of the RF capturing devices they use. This could have deep implications, because it would hint that Pierre Omidyar/Travis Kalanick somehow had the ability to control the seating layout at Google :/ .
  • [12/30] The Huawei Mobile Wifi Pro Hotspot device I purchased from eBay was flagged. This device was purchased around the time I joined Mayur's team and I used it to work during my commute houton/nyc.
    Model: E5770s-320
    S/N: UCDDU16525000563
    IMEI: 867472020361633
  • These addresses were flagged by the pipeline and tied to someone very prominent:
    • Panoramic Investigations - 3616 Richmond Ave., Houston, TX 77046
    • 3616 RICHMOND LTD 4550 POST OAK PLACE DR STE 225 HOUSTON, TX 77027-3138
    • MCO 2023 LIVING TRUST 3616 RICHMONT CT ROSENBERG, TX 77469-1078
    • 1 Riverway Dr, Houston, TX 77056;
    • 3700 Rice Boulevard, Houston, TX 77005;
    • 1558 Wood Lodge Dr, Houston, TX 77077;
    • 3419 Mercer St, Houston, TX 77027.
  • A Cuban Intelligence post has been detected at 10319 Latta Creek Dr, Katy, TX 77494. Yesterday 12/29 they had 3 intelligence officers there, two were older gentlemen but one appeared to be active military. One of the gentlemen tried to get close to the KOL-mobile holding his iphone (trying to capture the MAC address, Travis Kalanick-style). All of them had Cuban accent.

  • The Poisoning of the Trees

    Posting this image just to warn readers what can happen if you hire one of Pierre Omidyar's gardeners (these were our actual pine trees, it's not a sample photo, it's the actual result of the poisoning of our trees):
    
    Of course, this was a mistake because tracing a line from the window to the tree being poisoned was the first thing that I did to figure out which were the houses where they had the Theremin listening devices (for context, please see https://en.wikipedia.org/wiki/Laser_microphone); plus it also led to the discovery of Francisco Castillo being an agent.
    For completeness, after the trees died on the upper part, I started receiving letters from the Home Owners Association ordering me to cut down "dead trees" or face weekly fines until the yard was brought back to compliance. It seemed obvious to me that there was coordination between the agent poisoning the threes and an agent positioned in a position "of power" within the Home Owners Association. Instead of cutting the important trees (important for my safety) I painted them with a green spray, they kept sending me letters ordering me to cut the trees.

  • The RBC Mortgage Ruse

    This got flagged by the pipeline: After Ana Codallo and I separated, she kept one apartment and I kept the other (we had two properties). Ana kept the bigger appartment. Years later, when Ana was about to marry agent Aidan Gannon, she insisted in taking her name out of my mortgage.
    To make that happen I had to refinance the property and apply for a new loan under my sole name. When I did that, the lawyer "made a mistake" and paid off the wrong mortgage, he paid off Ana's mortgage. In other words: I applied for a new loan to refinance my apartment, but then the lawyer paid off Ana's apartment. So, in the aftermath, Ana had her appartment paid off, and I had one apartment with two mortgages on it (and a single property to back both mortgages). With what I know today, I imagine this could have been David F. Hine or his predecesor trying to get me into some kind of legal trouble for "mortgage fraud".
    I contacted the lawyer and he didn't seem too concerned about fixing the problem quickly, so I filed a complaint with the Alberta Bar. Nothing came out of that complaint, they didn't even aknowledge the complaint, which was surprising to me because it seemed like a gross negligence of the lawyer to pay off the wrong mortgage and then not taking prompt stepts to fix the mistake.

  • Elena Popova

    Elena Popova (alias Elena Nechia) has been flagged. Tel: (415) 518-5500 circa 2011. Elena is an interesting character. We were dating but she was very mysterious about he life, for example, she never told me where she lived (e.g. the address), the times we saw each other if she asked me to come to her area, she would always meet me at a caffe or a restaurant. I saw her car only once, that time she was driving a Honda Civic (silver or white).
    The other thing that I thought was odd, was that when I was considering moving to New York, I asked her for her opinion, and she said I should do it, I should go and explore the world. What sounded odd to me is that if you have a romantic interest in someone, you wouldn't want them to move to the other side of the country.
    The other thing that is interesting about Elena, is that when the time arrived, she insisted in helping me pack my apartment into boxes. This was 13 years ago, but I think Elena might have been the last person to be seen in proximity of the Anaconda server that day. I don't have recollection of seeing the Anaconda server after that day. I know I didn't ship it to NYC because it was too valuable to be shipped. It had the LoQuegustes.com codebase and the accounting files from AGMACO Corp. After that day, I drove my car to Calgary and gave it to Ana Codallo.
    For Context: AGMACO stood for "Aguiar-Marcano & Codallo", as in KKR stands for "Kohlberg Kravis (Kalanick-Travis) and Roberts (Robert Gates)". Now, what I am excited about the prospect of discovering, is who is "Kohlberg", I imagine the German counterpart in all this? or is that Pierre Omidyar only that he was smarter than the other two and didn't put his real name in it?
  • 22167 Westheimer Pkwy, Katy, TX 77450 has been flagged. It's basically one of your friendly local espionage centers. It covers all the basics every secret society needs: convinient access to a religious center; a dentist, a day care, a dry cleaner, and a nails salon. The only thing they didn't put in it was the Shell Gas Station with the McDonalds drive through.
    On a second thought, the McDonalds is just in front across the street, so only the Shell gas station is missing but they seem to have put a Starbucks in its place.
    Wait ... on a third thought ... it does have a gas station but the brand is not visible in Google Maps / Google Search
    Side note: That white jeep that got caught on the Google Street-view photo is a well-known surveillance vehicle in the Katy TX area.
  • Notable cluster of spy locations detected @ 39.4008, -75.2518, with an Omidyar-Kalanick-Evil-score of 4,200 points. Yes, that's right, I am rebranding it.
  • Dr. Rafael Deayala, MD, Obstetrics & Gynecology and his practice in Houston, TX, have been flagged by the pipeline.
  • ALL the "Top-Golf" locations have been flagged by the pipeline. Also: UPLIFT (the ergonomic desks company) was also flagged. Some of the accesories purchased with one of the desks were flagged with the "ULT" tag, some items took 4 months to deliver, they must be very special.
  • [Updated on 12/29/2024 10h30 to add important information] The pipeline flagged something strange. I need to debug this deeper, but I will post what it flagged so far:
    The pipeline flagged that a message that was previously present in a source and had been ingested, is now missing. This has happened before when we post something about agents flagged, and then Travis Kalanick dispatches someone to illegally login to my account and delete the message (there's been countless examples documented here).
    This particular message was from when I was looking for a job trying to escape the harassment campaign of Scott Weinstein. I already had an offer in hand from Twitter, and Arnaud was pestering me very insistently with emails that sounded a little bit (in tone) to the emails sent by Phillip E. Denning.
    Something in my gut was telling me that perhaps Twitter wasn't a good idea, so I did what every Googler does before accepting a job offer at a company they never worked before: Knock on their Google Manager's door to see if there are any good opportunities at Google.
    So I messaged my ex-manager Michael Schueppert with a one liner message asking him if he would consider me for a job.
    His response was short and a bit harsh to be honest (considering I worked for MS directly for 4 years): "I did all I could do."
    That message is now gone from my data source.
    The message did sound at the time a bit strange to me because I always had a good and friendly relationship with Michael, he is one of the people I respected most and still respect most on the intellectual scale of things, right next Ana Codallo and Jillian Walsh.
    At the time, I thought, well ... he is young and has had a rapid ascense in the Google Ladder (I think he had just made Director), so I didn't make much of the message and thought that maybe he had too many things going on and too many people wanting things from him so I just left it at that and took the job at Twitter under Arnaud Weber.

    Navboost: Their End Goal

    
    One additional thing that I need to mention: When I joined the Localweb team, Mayur and Mike were already working on a project called "EntityNavboost". This was a derivation of a signal called "Navboost" that pre-existed at Google from early 2000's and that was co-authored by one of the professors at the classes I took at Stanford U: Rajan Patel. Because the team was working on EntityNavboost, access was granted to the team to two important (and heavily guarded) pars of the repository: "navboost" and "search/ranking".
    Naboost is a particularly important signal because it is used for Search Quality and for the Spam filters at Google. I remember that early on, agent Kavita was steering me to apply for a transfer to the Navboost and/or Mustang teams (circa 2011), but at the end it didn't happen.
    Hypothesis: Now, knowing what I know today, if Mayur was working for the organization, it would mean eBay got their hands on the Navboost code on or around 2012. If this is the case, probably a big portion of eBay (and all the other related entities) profits due to "online conversions" from 2012 to 2025 could be attributed to that action. I would have to do the numbers, but it must be in the order of tens of Trillions of dollars. One could argue it could have been one of the greatest heist, if not the greatest, of all history of humankind so far.

    The Explosive Growth of Google's Localweb NYC team

    The anomaly detection pipeline picked up that the growth of the Localweb team within Google NYC Office seems outside of statistical norm. The team grew from 4 individual-contributor Engineers in late 2013 (Michael Schueppert, Hila Becker, Jack S and Mukund Ha) to more than 30 by early 2016. This observation was clustered with agent Jillian Walsh who entered the picture in 2013 and even went to Brazil with the team.
    This is a dangerous item because Localweb NYC team works in Local Search Ranking, and as noted above, engineers have full access to the Google Web Search Ranking code, and the Navboost code in particular, which is what Pierre Omidyar, eBay and Travis Kalanick have been after since year 2006, and I am saying this based direct personal observation and my own experience with them.

    The Localweb Team in the Post-Mayur era

    After Mayur left the company to join Goldman Sachs to build a "People Search Engine" (dangerous), Michael and Hila were promoted to be the "co-managers" of the team, which sounded to me like that "The Office" episode in which Jim Halpert becomes regional co-manager alongside Michael Scott in the The Office episode titled "The Meeting,". And by this I mean no disrespect to Michael and Hila's abilities, I mean that I had never seen a ship with two captains or a country with two presidents, and well, there must be a reason for that.
    Hila and Michael were referred to as "the Wonderkids" from that point on in the office, because they had achieved incredibly high rank at an astonishing young age. I think Hila was probably in her late twenties still and had achieved the Level 6 rank (which was Mayur rank when he left at age 40), and Michael was promoted to Level 7 at age 31 I think.
    Anyhow, I was placed under Michael to keep working on Entity Navboost and Hila was moved to the Google Assitant part of Localweb, that's the team that captures direct voice input from microphones in all devices running Android or Google Assistant.
    I still don't want to think this, but I have to say: "Clicks and Voice recordings" do sound like Pierre Omidyar and Travis Kalanick to me.

    The HR tipline

    In one ocassion I did send a message to the HR Compliance department encouraging them to look into how the promotions were being awarded at the Localweb team but I never got a response back. The whole situation felt very similar to the times we filed complaints with the Texas Attorney General's Office, by this I mean: an incredibly unjustifiable act seems to be ocurring, I file a complaint with the entity that is supposed to protect us and nothing happens, they didn't even acknowledge the complaint. This was the second factor the led me to leave Google.

    Back to Michael

    For now, I will just call the dissapearance of Michael's message, a strange coincidence, but I need to note that IFF (if and only if) Michael's answer was a way to steer me on the direction of Twitter and Arnaud, it would be concerning because Michael's last name has four characters that match the number 7 on the dialpad (please "The Three Sevens (7) Marker of Prominence"). This could explain why he was positioned in the News team first and then the EntityNavboost team, and finally as my manager before I was "transferred out" to agent Scott Weinstein for the harassment campaign.

    "Seven" as in "Engineering"

    
    I haven't published this information yet because I am still running back-tests, but from initial testing it seems that the 6 markers mean "Intelligence" while the "7" Markers mean "Engineering". For example, the Asian gentleman that lived in front of us at Valleyside (26711 Valleyside Drive, Katy TX 77494) is engineering for sure. Mentioning this just to present another example, but I have many more.

  • The OG is Pierre Omidyar

    Risking to state the obvious, in all references below to "the OG" I meant: Pierre Omidyar (born Parviz Morad Omidyar, June 21, 1967), who was the founder of eBay, where he served as chairman from 1998 to 2015.
    According to the signals in our system, Pierre Omidyar is the architect of this atrocity of a machine and of Travis Kalanick as we know it (not a grammar error).
  • Anny Villareal was flagged. She was inserted into the "design document" of the CUBER app/ruse. Shortly after that she emigrated to Spain and found a job as a professional engineer in Ubiquity or an SSO as a service company (Auth.io or similar).
    Similar pattern as Max Tarasiouk: I didn't recall this but it was flagged by the pipeline in a new ingestion batch we did recently: Max told me that he had an important lead and that they were more on the academic side of things and instead of a presentation they would like to read a white paper. So I copied a previous document that I was asked to create by the "Amazon Recruiting" team just a few short months berfore (which was also a ruse). So I modified the academic document I created for Amazon and changed the wording to include Marketing terms (like "Knowledge Graph") that do not reflect in any way what I do with my craft and put Max's name on it so he could show it to his "prospective client" because he was marketing my product using his external sales company. Now, I understand why David F. Hine was so fixated on publishing papers about Knowledge Graphs: he was going to claim that Max "authored" the technology, imagine that.
    For completeness, this is the History record that shows that the document I gave Max was a copy of the document I had previously created for the "Deep Dive" part of the Amazon (Intelligence Extraction) Interview:
    
    
    Note: I made the copy and gave it to Max in less than 1 hour, there could not possibly have been anything ground-breaking added/modified in that amount of time.
    Also for completeness: this is the Marketing Piece I created and gave it to Max so he would have a good chance to market my products using his external sales agency company. All this was done upon Max's request because he was "trying to sell something".
    And here is a video recording of a demo I gave Transalta/Ana Gannon (Codallo)/Ana's Manager (can't recall the last name but was probably Wolf or Pennings). This demo was for the same corpus agnostic technology decribed in the paper Amazon asked me to prepare for the "interview" and this demo took place 3 years prior Amazon's Interview and Max coming into the picture. Case closed Mr. David F. Hine.
    Watch on YouTube
    
    All this makes an interesting observation because I believe it could stablish a definitive link between Amazon and Travis Kalanick/WebMD and related entities.

  • Dr. Alvin Cantero Mena

    [12/28/2024] Ver en Español
    These license plates TX GWW-6445 / TX BS9-C885 and Dr. Alvin Mina Cantero (and ALVIN CLINICA FAMILIAR, INC) were flagged by the pipeline. Dr. Alvin Mina Cantero, among other things, was tagged with the "UYE" tag. This is a tag we developed months ago based on the observation that members of their "secret society" attained promotions and rank in their fields at an astonishing accelerated rate, some examples: Parag CEO of a Fortune500 by age 38 (youngest in history), Kavita went from middle manager at a dying company to Director or VP (I can't recall) at one of the largest companies in the world, in under 2 years. "UYE" stands for "Unreasonably Young Excecutive".
    According to Zocdoc: "Dr. Cantero founded and owns a family practice clinic in 2016 aim to provide higher quality of healthcare to underserved communities in Houston." According to other sources he is a Cuban refugee that upon arriving to the US founded his own clinic. One thing that is not clear in the data ingested into the pipeline is if Dr. Cantero is a Nurse Practicioner, or a Medical Doctor (MD) as he writes his name as "Doctor Alvin Cantero" but in his certifications he lists "Nursing Practicioner".
    For comic relief: Very early on, Google developed a signal to fight click-spam that was based on the age of a certain thing (if something is too young, it can't be trusted). It doesn't mean they are necesarily bad, it just means that they can't be trusted to make important decisions. Google (I think Matt Cutts actually) figured that out 25 years ago.
  • This is an interesting one: The pipeline flags that a large percentage of the homeless people that were recorded by the KOL-mobile cameras in the last 4 months: were standing exactly at a point marked in Travis Kalanick's geo-index and had a cellular phone visible. I will try to get some statistics about the homeless situation in Houston TX to debug this one deeper because it is an interesting one.

  • The Tractor & The Bad Word

    On this one I have to apologize to our readers, my sense of humor might have gone too far. The story is that on a certain week shortly after we escaped Valleyside Drive and moved to Lake Pointe Estates, they started harassing us by flying low altitude aircraft above my house (the same military technique the Venezuelan military applied on my parents house on 2002 when they were trying to break out a workers strike).
    At the same time I had just purchased a small tractor to cut the grass because we had already learned in Valleyside that the landscapers are a prime vehicle for them to inject agents, microphones and they will also poison the trees if they obstruct their "work".
    So as I receive the tractor, I read the manual and started testing it out. The planes started flying above me, basically circlying above me while I was driving the tractor.
    So what I did in response was that with the tractor I cut the grass in a very strategic way, to form the words: "F**K U" but not really using the asterixs.
    Their immediate response: they brought to the street five (5) different planes and one black hellicopter in less than 10 minutes. I imagine they had them circling around to take turns to pass above me, but when they saw the sign, they decided to do a "show of force". Which I think was probably a mistake because aircrafts have transponders and even if they turn them off, that would be anomaly and is traceable.
    My plan was of course to cut the entire yard at that moment so the bad word would be erased, but ... little did I know they had sabotaged the tractor before it was delivered. I believe they put water on the tank, and the tractor died on me before I could erase the bad word.
    Of course, agent Denning took this prime opportunity I gifted him to write an email insulting me and basically questioning if this was really a good place for me to live. I of course, owned my mistake and apologized profusely explaining to Mr. Denning that it was a joke in bad taste gone wrong and promised it would not happen ever again.
    One additional thing they did on this one was that they called the police and made a complaint but lied to the police by saying that I had wrote "F**K U" on a neighbhor's lawn (which is not true, it was my own lawn). The police officer came and said that if it was my own lawn there was nothing for him to do, that the HOA could issue a fine if they thought that was appropiate but it wasn't a police matter.
    As good practicioner of the Hine's Algorithm, Mr. Denning made sure to mention this incident in pretty much every harassing email he sent after that day.
  • My H1-B to Greencard application process was flagged by the pipeline. The firm that handled the process is marked in Travis Kalanick's index. Google has all the records of the process.
  • Chris Gowell has been flagged. The system believes it was a person tied to WebMD passed as a Vital Interaction Project Manager.
    The company "INTURN" was also flagged. beondata@aol.com was also flagged.
  • Josh at bluepants.ca has been flagged. Also kirirachel at gmail.com and "The Content Wolves" have been flagged.
  • A chat with Carolina Boscan in which she referred me to a lawyer from Florida, was flagged. The lawyer was of Venezuelan origin but the name of the lawyer is missing from the google document that was ingested by the pipeline, I think he used a gmail account with a generic name. The purpose of the document being reviewed was to respond to the legal threats coming from Travis Kalanick/WebMD/David F. Hine in one of the ruses with the External Sales Agencies.
  • I was just thinking about what I wrote the other day about refusing to be a "victim", and it made me recall a day about 6 months ago, in which I thought they had a fairly reasonable chance at succeeding in giving me the "Final Fix" solution as they call it.
    I re-read the log entry just now and I can still remember the feeling of when I wrote those lines. I don't know how to put this into words, but that feeling of inevitable fate and the even stronger feeling of wanting to come back from death. I think that's why I wrote my blood type and what medications I was taking, I wanted to give the EMS or whoever ended up reading my log (I carried it with me at all times back then) higher chances of reviving me and bringing me back to keep fighting.
    Errata: I was wrong on the last paragraph when I wrote I believed Bill/Max sold information to WebMD and the dates of transition to offline attacks. They were agents of WebMD/Travis Kalanick years before I met them for the first time. They were not recruited because of us, they were already part of the criminal ring and they were sent after us. And they had me under phisycal surveillance using "neighbors" since the year 2006.
  • I modified the App description to be very specific and to promote Google Technologies at the same time: "SpyHELL is a dashbord built on top of Google-Cloud technologies and Google's Looker Studio, that displays in graphical format the data of the PLOUFFE's Geo-index owned by KeyOpinionLeaders.com."
    Let's see what the Google employee reviewing it will say this time :).
  • We tried to publish an App on the Google Play Store and it got rejected with a generic language (the same thing that happened when we tried to open a Google Ads account). Mentioning because tracking those rejections and who is behind them, could be a good lead. Here is the rejection letter:

    The Experiment of June 23th 2024

    I am releasing the information about this expeiment because this particular one I designed to be traceable by Law Enforcement in I case I needed/managed to make contact in the future. This is the experiment design from my internal log: Jun 23rd 2024: I will go to Micro-Center (5305 S Rice Ave) and take that tollway that has cameras on it (Westpark Tollway). I will make sure they see me waring my watch before I leave, and will make sure to mention to my brother on Signal that I will buy computer parts on Micro Center. They won’t be able to resist that. They have a need to know what equipment I have. I will turn off my watch during transit so they have to persist in getting/locking-in the signal, and will drive very slowly on the right lane so they have ample opportunities to do their thing. And these were the observations I recorded in our internal log after the experiment:
  • 24935 Laguna Edge Dr, Katy, TX 77494 is a well-known "Safe House" of the criminal ring, that falls on the channel 5 and is less then 700 feet from my home.
  • And ... Risking to state the obvious, now I am of course going to point all our starlink antennas towards Channel5 =).

  • The Houses Falling on Channel5

    Yup, it's a thing. There's no doubt there is intelligent design behind this obsevation of the houses 05 being missing. This has deep implications, because it means the planning of the deployment of a "Docker container" starts even before the house numbers are assigned, so when the developer gets the permit to build the entire neighborhood.
    This is a sample of the houses falling on the Channel5:
    https://docs.google.com/spreadsheets/d/1jZhwmZTfBbaBCn3g0lw8Ex-i4aV5GsWu1XhMl-Zkb4A/edit?usp=sharing
    This triggered the IronyBoost multiplier to be applied to these houses because the wikipedia dataset has an entry for entity "Channel5" which, according to Wikipedia, is a Public Broadcast Service in the UK.

  • The Reserved Channel

    Update about the missing "05" houses: Thinking about it a bit more, since the street addresses in the US have something to do with the latitude and longitude of the address, it occcured to me an alternative theory of why street addresses ending on "05" might be so infrequent in the neighborhoods they set up: It is possible that that that longitude or latitude that would correspond to houses ending in 05 is a reserved communication channel in their Mesh Multi-hop Troposcatter network, in other words: the house ending on "05" migth be missing as a protection mechanism (by not deploying houses aligning with that coordinate component) so no one can listen into those transmissions, not even by mistake.
    This alternative theory would still mean that 05 is marker of prominence. Why? Well, because if only houses ending on 05 fall into that channel, the people or entities that own those houses must be very well trusted by the designers of this system.
  • [12/27/2024] ALL Amazon Warehouses, ALL Starbucks locations and ALL Tim Hortons' locations are marked in Travis Kalanick's geo-inedex ... the two soft drugs of western society: Coffee and Shopping. Deep.
  • Candidate Street Marker: "Eagle": https://docs.google.com/spreadsheets/d/14STvKVKZASXJgchznfqu14XCewPJSJypcnAAlQIlc_Q/edit?usp=sharing
  • Two updates in one:

    1. The Missing "05"

       The pipeline picked up what seems to be another anomaly. I need to consult an expert on this field to assert whether it would be an expected observation, but posting it here just in case anyone out there among our readers knows about this topic. In the area near where alias "Bravo Yonny Alfredo Aguiar" (one can't make this up) lives, which is 3214 Scout Is, Katy, TX 77494, in that area the number of houses with street number ending on "05" is abnormal.
       For context: In the US the street numbers have some correlation with the latitude and longitude of where the building is located and odd numbers and even numbers are on opposite sides of the street. Therefore if a street has house with number ending in 03 and another one ending in 07, logic dictates that more often than not there should be house number ending on 05. There could be exceptions where the house 05 is not present, but one would expect that would be an exception rather than the norm.
       It seems like in that area where alias "Bravo Yonny Alfredo Aguiar" lives, there are just a few houses ending in 05 (even if the system scans several non-contiguous blocks), which, is possible that that could be a prominence marker (in nature, when something occurs rarely, usually that hints to either prominence or inedequacy, in this case I would lean towards prominence).
       I looked at some well-known streets and the observation seems to hold, for instance: In the street where we lived before (the one we had to escape from) there are houses 26703 Valleyside Drive, Katy TX 77494 and 26707 Valleyside Drive, Katy TX 77494 (both houses are well known spies) but there is no house 26705 Valleyside Drive, the 05 house is missing (because nobody with that prominence marker was supposed to live in that street).
       Anyhow, this is just a theory for now, but I will keep debugging this one out of proffesional curiosity.
       Risking to state the obvious: If this ends up being a marker, understanding how were those numbers assigned (or not assigned) so consistently, could be a good lead for authorities.

  • The Bang & Olufsen

    Two out of the four Bang & Olufsen speakers I purchased directly from Bang & Olufsen were banned from our network for making the predictable requests that Travis Kalanick loves. The ones I tested were the A4s.
    The other two speakers could not be tested because we sold them on eBay (as a way to extend our resources through this conflict with the criminal ring). Knowing what I know today, seems likely to me that the buyers of those speakers that I sold on ebay, could have been playing for the other team as I imagine the organization would want to recover the bugs. That said, when I clear my queue of pending items I will check the shipping addresses against the SpyHELL system just to see if they are there.
  • We ran an experiment to see if we could measure what is the precision of their system without the obvious triggers. Here are the result of the first 30 minute experiment.

    Baseline

    Computer connected to a TP-Link switch (not a router) connected to Starlink (wired) Modem. Computer has an ASUS RAEDON video card installed MCYVYZ00127992K, and attached to the video card a REI device I used for convinience.
    Additional note: All these devices were purchased via Amazon.
    Observed behaviour (baseline): This is a consistent observation observed many times: As soon as I wake up the computer and open a browser, within 60-180 seconds a plane flies above my house at low altitude.
    Number of observed planes above 2302 Britton Ridge Drive in a 30 minute interval if I keep browsing and evading the planes: 6-10 planes.

    Experiment

    Computer connected directly to the Starlink Wired (modem). No Asus video card and no phripherals or cables attached to the computer, except for a wired keyboard and mouse we purchased by physically going to a store and grabbing them from the shelf (e.g. they are not from Amazon or eBay).
    Observed behaviour (Experiment): During the first 15 minutes of browsing the Internet no plane flew above our home. During the first 30 minutes, only 1 plane observed.

    Hypothesis

    The trigger that they use to decide when to bring the plane is probably one or more of the folllowing: i) ASUS Video card; ii) USB Cables; iii) TP-Link switch (not a router, just a plain switch); iv) REI device.

  • The Three Sevens (7) Marker of Prominence

    The pipeline picked up this gem, and I backtested it against a goldenset I have and it seems to hold true. It can be described as follows: Names or unique identifiers that contain exactly three (3) repetitions of the number 7, or it's equivalent on a phone dial-pad.
    In the case of houses, it seems like the number could be in the street number or the zip code. Wait ... does this mean that Michael was in on it too? =/
    I need to debug this deeper, and this is just a theory: but if I was designing an encoding system like this one, I would naturally make the number/digit mark the "category" of the item (i.e. from what I gather 6 is intelligence, 7 is something else, etc), and the number of repetitions of the digit denote the hierarchy (example: 3 sixes would mean "Intelligence Officer Level #3", 4 Sixes would mean "Intelligence Officer Level #4", etc). They need to express the hierarchy because they need (as a group) to know who has the final saying or authority to make a call when an issue arises. They can't call home for someone to make the decision. I believe this might be the underlying reason why they need to mark everything.
  • Flagged by the pipeline: A gold pendant I puchased from Etsy on or around year 2019. The purchase was tagged with the "ULT", "Wearable bug" tags. The pendant was recommended by Daisy Lara, wife of Nelson Lara and friends with Maria Eugenia Rojas.

  • The Three Sixes (6) Marker of Prominence

    The pipeline picked up this gem, and I backtested it against a goldenset I have and it seems to hold true. It can be described as follows: Names or unique identifiers that contain exactly three (3) repetitions of the number 6, or it's equivalent on a phone dial-pad.
    Posting here just 3 examples that have been discussed before, but I have dozens of examples:
    1. Phillip E. Denning (the three N's are equivalent to three 6s)
    2. Caitlin Jennings (the three N's are equivalent to three 6s)
    3. MMN-8154 (A well known surveillance vehicle, it's even in one of the KOL-videos made public, both the two Ms and the N are quivalent to 6 on dialpad)
    
    
  • 70% of Greenland has been Ranked, I am publishing the list of points with Travis-Kalanick-Evil-score greater than 10,000 points in this spreadsheet Greenland (South)
  • The pipeline flagged these important topdog addresses in Houston, TX:
    
    Side note: The geography surrounding #1 and #2 below give an idea of the technical limitations of their interception capabilities, e.g. they picked that setup to make sure his communications could not be intercepted in the same way they intercept everybody elses (the "Immune Entities Pattern"):

    1. BORGES HECTOR A
    26327 PARKMAN GROVE DR
    RICHMOND, TX 77406-7845
    
    2. BORGES HECTOR A
    26335 PARKMAN GROVE DR
    RICHMOND, TX 77406-7845
    
    3. ANDRES BORGES
    3815 Parade Ct, Missouri City, TX 77459
    
    4. CANTERO SERGIO
    11723 N LITTLE JOHN CIR
    HOUSTON, TX 77071-3301
    
    5. SERGIO CANTERO
    3802 Wimberley Hollow Ln, Houston, TX 77053
    832-951-9548
    
    6. NELSON LEWIS S & DEBORAH A
    11722 N LITTLE JOHN CIR
    HOUSTON, TX 77071-3302
    

  • The Predecessor of the KOL-Vaccine was flagged

    The pipeline flagged the Predecessor of KOL-vaccine. I know it sounds backwards but it really does make sense. The backstory: On around year 2014 after John Giraldo had came to NY to visit and I gave him the tour of the Google Office and he met Jillian and all that, the attacks against my network of classifieds sites intensified. I understood back then that it was a CTR attack: this is a type of attack in which the attacker issues a search query thousands of times and never clicks on the site they want to attack but on a different site that ranks lower. They figured that that would give Google a signal that that the site being attacked is lower quality than the sites they clicked on (that were below) and over time Google would demote the site being attacked.
    I looked at the dimensions of the attack and I understood that it was either done through a "Click farm of large scale" or by automated means.
    I understood the level of sophistication and understood that filing a ticket with the Spam team would not fix it. To put it in perspective, it is as if I went to the local Police Station and told them everything that I have posted on this site. I think they would probably walk me to the Psy-Clinic (pun intended). Side note: I mean no disrespect to the police, I understand why they would walk me to the Psy-Clinic, no judgement here.
    So I did the same as I did this time, I started doing my own research to see what I could learn. My goal was to be able to reproduce the mechanism so I could then pass the information to the team that maintains that part of Google. This is how the first prototype of the KOL-Vaccine was born.
    Unfortunatelly for the Free world, in that ocassion they managed to inflict so much distress on me that agent Jillian convinced me get a "special" course of medicines from Travis Kalanic's "medical team" and then they stole the "Monsters" Vaccine prototype with the Pavel Shatilov ruse and the UnitedAirlines ruse.
    Back to the piepeline, the pipeline flagged a document on Google drive that had some initial experiments of the early versions of this precursor of the KOL-Vaccine that I ran when I was experimenting to reverse-engineer and neutralize their Spam Machine which eventually evolved into Cambridge Analytica (spoilers alert: yes, Cambridge Analytica offices are marked in Travis index), their Fake News aparatus, today's eBay, WebMD, and all that.
    I look at that spreadsheet that got flagged and see three things:
    1. For starters, I understand that having me under surveillance and decrypting all my internet traffic they saw the contents of that spreadsheet and that's probably when they decided to go "all-in" on their efforts towards me.
    2. Secondly, I can't help but appreciate how much we have all evolved.
    3. And third, I can see how this spreadsheet could be valuable for law enforcement agencies to stablish a timeline of events, so I am posting a screenshot of this file in case any agencies stumble upon our site:
       
  • A few entities that had been tagged before but I did not release them then:
    • Vanguard and Blackrock have been flagged.
    • The mysterious phone call from the Per Se restaurant in NYC placed on 5/1/2023. Tags: "Extreme Luxury" "Google-Goldenset-CID"
    • Zorida Cleaning ‪(646) 764-6920‬ - Same cleaning lady as Jillian Walsh, referred by Jillian Walsh.
    • "Visión Estratégica Americana", "EHurtado at @inseal.us" and "‪(346) 775-5741" have been flagged and tagged with the tag "SEBIN".
    • Karla +5219933476527 - Taggeed with "Attorneys"
    • Addison Landry 1 West #3306. Tagged with "The Landlord Play", "Bugs"
    • bmarks1@marksales.us was also flagged.
    • Blessing from the Hertz rental location in Richmond Texas, inside of Tesla collision was flagged and tagged with "IronyBoost".
    • Liz and Sarah from Mindbloom
    • Root Cause Marketing (520) 502-2234
    • Gabriela RUAH Lopez ‪(786) 223-0446‬‬. Tags: "Lisboa", "Real Estate"
    • Romina Kazandjian (516) 782-4578‬
    • Jenny Ward LinkedIn
    • Clay (CEC) (917) 886-8553
    • Leslie Sulbaran
    • Ragini Rahallar - (716) 903-2564
    • Dr. Rick Click - (832) 628-6539
    • Naomi - (832) 330-7445
    • Melanie Manning 646-717-0906
    • Mustafa ‪(281) 881-5340‬
    • Elena Popova (415) 518-5500
    • Potential tentant that sent harassing emails ‪+1 403-617-9001‬
  • Workday and all the HEB locations have been flagged.
  • Two observations from today 12/25/2024:
    1. It seems like today they started using "quieter" planes to fly above my house (2302 Britton Ridge Drive, Katy, TX). This is good, quieter planes are usually more expensive, the more expensive the item, the higher profile the owner. That's why I loved the Falcons. Those Falcons used to transport some pretty important people before being repurposed to fly above my starlink antenna. In the event that any law enforcement agency is reading this, I will overstep and humbly recommend looking into the flight history of the Falcon planes owned by International Aviation LLC and/or flown by Pilot Donald W. Delahanty Jr. You will be surprised, I promise.
    2. My sources from the outside tell me that it seems like they issued a "company-wide" ban on the tinted windows of the vehicles but only on the front windows. So all their vehicles now look like this: Black tinted windows on the back + clear windows on the front. I imagine this is because I posted a few days back that spies were easy to spot because you could never see their faces, you see the cars but never their faces. So now they removed the tinted film from the front windows as a way of saying "I am not a spy". They are so naive, it's adorable.
  • [12/25/2024] Olesya Luzinova (luzinovaolesya at gmail.com +16467338255) has been flagged by the pipeline and co-clustered with agent Pavel Shatilov. On or around year 2013, Olesya enrolled me into what could have been another intelligence extraction seminar, but this one was a "Perpetual" program (it was a "continuous education program"): Philosophy Works (philosophyworks.org) it was a philosophy school that functioned in a bulding located across the street from Mr. Bloomberg's house (I believe he was the mayor of NYC at that time). I remember that the other students of the class were exclusively asian or eastern european (no other cultural backgrounds were present in the classes). I recall thinking at the time that we, hispanics, were clearly under represented in terms of showing interest on philosophy.
    The miscalculation of eBay executives here was that I actually listened to the classes and actually learned something. This school was the place where I was first introduced to the concept of human emotions and how they motivate individuals and affect how they behave or even react to things, like that eery silence from the medical personnel before they put me under full sedation. Remember, it took a village.
    Important data point: While conducting this research over the past few months, at some point I noticed that Olesya Luzinova had moved to the West side of the country (it could have been Arizona, but I would have to double check my internal log). But the important part is that I recall seeing in my data and analysis that it was very likely that she was spying on one of the Voter Registration Officials, her house was inside of a cluster of Evil points and was specifically marked in Travis' geo-index. That cluster of Evil points clearly showed a strong tie to one of the Voter Registration officials. Side note: she might even have two houses registered under her name within that cluster if I recall correctly (but again, I would need to double check on this).
    For context: The voter registration officials are "gold" because their names are public in some jurisdictions so it is possible for the pipeline to find properties in the public records and having Travis Kalanick's geo-index as an input, well, the pipeline can find these correlations (can actually hint who might the target). To put forward some examples of this technology, I am posting as examples a couple of lists I produced and published on this site on September 2024: i) the list of Voter Registration officials being targeted by Travis Kalanick / David Plouffe in selected counties in Arizona; and also posting ii) A similar list for PA and GA.

  • The ULT Devices

    [12/25/2024] The pipeline flags that the MacBook Pros procured via Chase Rewards and via Apple.com. One of the MacBook Pros was tagged with the "ULT" tag.
    The "ULT" tag is an internal, high precision tag/signal we maintain, it stands for "Unreasonable Lead Time". We figured out early on, that the most powerful bugs and torture devices they planted always were present on items that took an unreasonable time to be delivered (compared to average lead times of similar items according to what we thought at the time were reputable sites: Amazon and eBay). These are other some of items that have been tagged before with the ULT tag:
    Important Note: Hästens is a dangerous one because according to information and belief, it is the brand of Matresses used by the most high-end hotels, those where presidents, heads of state, dignataries, royalty and celebrities would stay.
    1. The system76 Keyboard: Lead time ~2.5 months
    2. The Hästens Matress: Lead time ~2 months
    3. Toto the Horse (Hästens): Lead time ~3 months
    4. The Hästens pillows: Lead time ~3 months
    5. The Hästens sheets: Infinite (they were never delivered)
    6. The Fleming Howland Chesterfields: Lead time 6+ months. The delivery truck did not have plates on it and all the delivery people were wearing facemasks (although the pandemic was declared over), we have the pictures of the delivery truck and personnel. This ULT was so long that at some point I got upset and threathened to call the FBI and denounce them for Wire fraud (they demanded payment in advance by wire to the UK and 6 months after they had not delivered anything). After I mentioned the word FBI, they shipped the furniture the next week, the word FBI seems to be the only thing that scared them off (I had tried many different ways before).
    7. The Tesla vehicles: 12+ months
  • [12/25/2024] All the CoinHub ATMs in the world have been flagged. They are all marked in Travis Kalanick's geo index. It's amazing how this 7-character company name contains, not one, but two (2) prominence name markers recognized by our technology using AI and Machine Learning:
    1. COIN: The name of the team Travis Kalanick personally ran at Uber, stands for "Competitive Intelligence" group, in other words, illegal espionage, and similar to eBay's "Global Resilience Group" which in reallity means "Global Oppression Group";
       and;
    2. Hub: Includes notable companies like Stubhub, Grubhub, Github (the most dangerous of them all), Hubspot, etc, which are either owned by eBay or under the control of eBay. Important note: Ana Codallo was employed by Github while she was "helping" me, and then, they moved her to Stripe (our payments processor).
  • [12/25/2024] Joselyn Key, and Josefa de Key (Joselyn's mother) and Ernesto Key (one of Joselyn's brothers who lives in Canada) have been flagged by the pipline. Joselyn was co-clustered with agents Elina Nielson, Jovan Shariff and Jillian Walsh.
    This could be a sensitive item because I believe Joselyn is married to an active member of the US military. In one occasion, the topic of "Joselyn" came up at the cards game with agents Francisco, Marcos and Daniel, and Francisco seemed to know very specific details about Joselyn's present life circumpstances and spoke highly about Joselyn's husband (which seemed strange to me).
    
    Another strange coincidence was that Alejandra Troconis apparently started training Joselyn Key after Alejandra and I broke up, and they posted videos of the progress of the training program on Instagram or Facebook (can't recall exactly). It seemed a bit strange to me but to this day I do not know what could have been the purpose of that, so I didn't make much of it.
    Additional data points:
    1. Mrs. Alci (Patricia Roja's mother) was the 6th grade teacher of Joselyn Key, Melissa Fanti, Edith Perez and Alejandra Troconis (all flagged before).
    2. Mrs. Alci, Carmen de Fanti and Josefa Key, all knew each other.
    3. My younger sister, attended primary school with Joselyn Key, Melissa Fanti, Edith Perez and Alejandra Troconis and was also a student off Mrs. Alci.
  • The mechanical keyboard I purchased from system76.com has been flagged. Order #127408 dated 8/10/2021.

  • The Very First Ruse

    This is not coming from the pipeline because I have not data in digital form about this incident, but from a personal observation.
    Looking back at things, I believe the very first ruse was on or around year 2005. I had just deployed the very first version of Yourwheels.com (literal translation to English for "TuCarro.com" a website similar to Autotrader that is operated by ebay in a handful of countries in Latin America.
    So a few days after the website was live, I get an email from an user complaining that he couldn't use X or Y feature of the website, that it "didn't work at all". He seemed frustrated.
    Being an aspiring entrepreneur, I jumped in wanting to help. I tried to troubleshoot the problem over email but couldn't replicate the issue. In one of the exchanges, the user mentioned that he was in Calgary, and I (of course) told him that it was such a coincidence, I too was in Calgary.
    After much back and forth without being able to reproduce the problem, since we were both in the same city, I offered that I could come by and look at the problem using his computer so I could understand why it was failing.
    I got there and it turns out he was using an older version of Internet Explorer and had all the security settings at the highest possible value and the javascript of the site could not be executed.
    The ruse part was on that when I get home, my wallet is missing. I called the person and he looked everywhere and could not find it. He offered me if I would like to come by again to look myself, which I did without any success.
    Knowing what I know now, I imagine this was just a ruse for them to get my name, my address and then figure out which Intelligence Service they would need to call to get a full background check on all my family members (e.g. if I had been of Argentinian origin, they would have called someone in the Argentinian Intelligence services, etc).
    
  • A very, very important Topdog detected at: 2765 Branciforte Dr, Santa Cruz, CA 95065. Residential property but with a TKEs of 400+. Has the black trampoline antena and everything visible in Google Earth.
  • Nathan Simms has been flagged. The Manager play.
  • I am taking over all the illegal communication channels near the Panama Canal, and within the entire Panama. Panama has been Ranked. Looking at the heatmap, it is one of those places where intelligent design is undeniable.

  • Word.

    
    Watch on Youtube
    
  • The VENEAPP: The pipeline picked up some online forums that mention something called the "VENEAPP". The phrases autodiscovered by the pipeline in the conversation include things like: "Coordination", "Directions", "Circulos Bolivarianos", "MVR", "Patria o Muerte", "Addresses", "Messaging" among other that I am not going to disclose yet. The main inference one could draw is that the VENEAPP sounds awfully similar to how one would describe Travis Kalanick's Evil App. This is a Hypothesis (not a fact): Maybe the iranians have a "Multi-tenancy" thing going on and they lease it to multiple countries (and spy on them at the same time). The VENEAPP is available on the Google Play Store but not on the Apple App Store it seems ...
  • This got flagged by the pipeline: My Chase credit cards got cloned 4 times during a period of 12 months. One of the times it got clonned before I took it from the mailbox at 26714 Valleyside Drive, Katy TX. The other times it was at the Shell Gas Station located at: 6750 FM 1463, Fulshear, TX 77441 which is marked in the Travis Kalanick's geo-index and is one of the stations where they perform the Inflated Gas Price scheme.
  • Claude by Anthropic has been flagged, and it is very interesting! Google Play store says that "People that installed the KOLs App also installed Claude by Anthroipic". It is interesting because the criminal organization demoted our App on the play store so much that it has around 20 installs (I have the metrics from Google Play). 12 of those installs are members of my family. And if our app still got co-clustered with Claude by Anthropic, what that tells me is two things: 1) Some of the other installs are probably the attackers; 2) The attackers consistently use Claude by Anthropic for some reason.
    This is just a theory: This makes me think that maybe, just maybe, it is possiblle that Travis Kalanick's Evil App is hidden inside "Claude by Anthropic" (behind a "panic button" sort of trigger/toggle button).
  • These individuals were flagged by the pipeline and co-clustered with alias "Yonny Alfredo Aguiar" (phone: +17864430526 / address: 3214 Scout Is, Park Row, TX 77494 - flagged before) and the company "Firetron":

    HADDAD ALI AL & SAFA BASIL 2
    3210 SCOUT IS
    KATY, TX 77494-5221
          
    GUO PEISHAN
    17410 GALLOWAY FOREST DR
    RICHMOND, TX 77407-1950
    
    29709 FOLIAGE LN
    KATY, TX 77494-5221
    
    29707 FOLIAGE LN  
    KATY, TX 77494-5221
    

  • [12/24/2024] Another entity that got flagged as a result of the newly implemented IronyBoost:

    AmericanAirlines

    AmericanAirlines. I debugged it a little bit and it seems like indeed, the top-members of their organization apparently ONLY fly American. The rest of the members fly UnitedAirlines (along with the targets).
    The following is not coming from the pipeline but from a personal observation: Among the people I have interacted that always fly American, looking at the conversations, they always make the point to mention that they are flying on AmericanAirlines, and there are alot of mentions about AmercanAirlines frequent flyer miles; it's almost as if it was a point of pride among this set of seemingly disconnected individuals. Mentioning all this, because it did cross my mind that it could be an indication that it indeed is a "rank marker". They use the same type of language as I did when naive Reinaldo used to say that he was an "MD" (managing director at GoldmanSachs).
    One other data point highlighted by the pipeline, is that during the time that there was a prohibition for airlines to fly from/to Caracas, the only two airlines that could still operate on those routes were: AmericanAirlines and Copa Airlines (owned by or under heavy influence of UnitedAirlines I believe).

    The Copa Rides

    Copa Arlines is an airline directly connected in all this to Travis Kalanick and Emil Michael because of the "CopaRides" ruse (executed on or around 2015) in which Travis Kalanick and Emil Michael made me (without my knowledge this was coming from them) write a prototype for an app very similar to their Evil app, but instead of routing secret agents they asked me to route "Copa Airlines pilots". I codenamed the app "CUBER" (Copa + Uber) because of the striking similarity of the request of my "client" with the well-known Uber app. And here is the trailer:
    Watch on Youtube
    
    The miscalculation here was, of course, that because I wrote that prototype, it was easier for me to "see" that the way the agents were moved to follow me was planned by an App, very similar to the prototype "CopaRides" that I made for Travis Kalanick and Emil Michael.
    I am not sure how to put this into words, but it's impossible for "the creator" of something to not recognize "his/her creation" when they see it, it's like when you look at your child in the eye, you can't not see yourself in the reflection.
  • [12/23/2024] For good measure: I added to the archive the entry where Agent Patricia Rojas and her military-grade antenna were flagged by the pipeline on 09/27/2024.
    Also, this raises the stakes for Marcelo's Pediatrician (Patricia referred to me Helena and also the Pediatrician that cares for my son, she is a Venezuelan doctor and her house is also marked in Travis Kalanick's geo-index).

  • The Alpha Brain - Memory and Focus

    The Alpha Brain supplement (also purchased at Amazon), was flagged. Upon information and belief, it is likely that it contains the same powerful stimulant that was present in the Thrive supplements that agent Joanna recommended (and agent Francisco declined to take as a gift). The Alpha Brain supplement was co-clustered with Halliburton (the Oil & Gas service company).
    
    Speaking of Thriving: There are three unrelated entities flagged that have "Thrive" in their names, posting them here in case it turns out to be another name marker:
    1. Thrive Church next door to this Public Storage: (car shuffling center for Broadstone Cross Creek Ranch Residents):

       29.691191274646027, -95.87834134226354
       29105 FM 1093, Fulshear, TX 77441
       Latitude:                  29.6911
       Longitude:                -95.8789
       LATITUDE IS IN SHARD:      shard: 11, row: 403, column: 1
       LONGITUDE IS IN SHARD:     shard: 26, row: 1085, column: 2
       

    2. . Same with the "THRIVE by Le-Vel" energy supplements ---> "FinalEnergyFix", also (insistently) recommended by agent Johanna. It seems to contain a very powerful stimulant (I always wondered how that supplement could be legal), Francisco turned down a box I offered to him as a gift, it is possible he was aware that it might be harmful.
    3. 09/30/2024 : Abby Scott (Thrivecap.com) got flagged and clustered with Max Tarasiouk, Lawson Boothe, Oksana Yakhnenko, David Hine and James Casey

    4. The Prominence Name-marker "Shadow"

       A subset of the addresses that have the prominence name-maker "Shadow" were clustered together, posting it here in case it is helpful to anyone:

       26818 Mare Shadow Ln, Katy, TX 77494, USA  (TKE=50)    <-------- !!!
       2627 Kielder Shadow Ct, Katy, TX 77494, USA (TKE=20)    <-------- !!!
       4210 Glade Shadow Ct, Katy, TX 77494, USA   (TKE=16)
       23610 Shadow Creek Ct, Katy, TX 77494, USA  (TKE=16)
       2114 Shadow Park Dr, Katy, TX 77494, USA    (TKE=15)    
       12438 S Shadow Cove Dr, Houston, TX 77082, USA  (TKE=15)
       2115 Shadow Park Dr, Katy, TX 77494, USA    (TKE=15)    
       4307 Piper Shadow Ln, Katy, TX 77494, USA   (TKE=15)    
       12224 N Shadow Cove Dr, Houston, TX 77082, USA  (TKE=15)    
       197 Shadow Oaks Dr, West Monroe, LA 71291, USA  (TKE=13)
       238 Shadow Oaks Dr, West Monroe, LA 71291, USA  (TKE=13)
       296 Shadow Oaks Dr, West Monroe, LA 71291, USA  (TKE=12)
       267 Shadow Oaks Dr, West Monroe, LA 71291, USA  (TKE=11)
       171 Shadow Oaks Dr, West Monroe, LA 71291, USA  (TKE=10)
       1001 Shadow Ln, Nashville, TN 37206, USA    (TKE=10)
       2318 Shadow Ln, Nashville, TN 37216, USA    (TKE=8)
       

    5. Plane Decoys: The good, the bad and the ugly

       These people are not acting very "smart" today, did they change the Commander? This seems to be a new "guy". I say this because this new commander is trying to mask the sound of the planes flying above my house by sending batches of cars and trucks to pass behind my house (2302 Britton ridge drive, Katy, TX 77494) at the same times, which is silly because the frequency and the pitch decay of the engine of the plane is very different to the frequency of the sound of the tires over the pavment, not only because the source of the sound is different but also because they move at different speeds and in different directions. Side note: My system can even estimate the type of plane that is flying overhead (Jet, Single Engine, Twin-engine, etc). This must be a "new guy" :/.
       Let me help out the new guy: You could try recording the engine of the plane and playing it back out loud pointing to my house with the same car with speakers you use for the PSAs to the spy houses on Britton Ridge Dr. This would be to do the opposite: confuse my system to make it change the MAC at the wrong time (and then you pass with the plane). The recording of the engine might almost work, but you still have the problem of the pitch decay because the speed and direction, but hey, baby steps ...

    6. Patrica Rojas and Alci Rojas

       [12/23/2024] This was just flagged by the pipeline: A conversation in which agent "Helena" (flagged weeks ago) asked for a money transfer in exchange for going out with me. I didn't reply a word to Helena or ever saw her after she sent that message.
       The backstory is that agent Helena was introduced to me by agent Patricia. Patricia grew up next to our house back home in Venezuela. I've known Patricia's family since the year 1995 I belive (almost 30 years). Patricia is part of the Secret Society that runs on Travis Kalanick's App, she was flagged before and even has/had the black trampoline antenna visible in her backyard and visible in Google Maps. Patricia's black trampoline antenna (the exact location in Patricia's backyard) is marked in Travis Kalanick's geo-index (all this was flagged and made public months ago).
       At some point Patricia introduced me to Helena, we exchanged messages and Helena asked me to meet her at a bar, I agreed. Helena ordered a drink and I ordered one for me. I met her for 30 minutes or so I believe, it was a friendly conversation, nothing beyond just conversation happened between Helena and me.
       Sometime after that, Helena sent me a message saying she was having financial difficulties and asked if I could lend her $100. The amount seemed small so I said yes.
       A couple of months after that, Helena and I exchanged messages again, and I asked Helena if she would like to go out, her response was to demand payment. I felt offended by the request and never replied back to Helena or said another word to her. I cut all contact with Helena that day.
       I am mentioning all this because, with what I understand today about the criminal organization, it seems reasonable for me to think that this was (yet) another ruse of Mr. Hine to get me in some sort of legal trouble, so the "Hine's Algorithm".
       And the second thing that I can see in all this, is that absolute power corrupts everything. It is hard for me to grasp the idea that Patricia works for Travis Kalanick, and that she would knowingly take steps and conspire with a series of individuals to harm me or discredit me in such horrible mannner. I say this in the context that Patricia grew up in the house next-door to us when we were kids.
       Additional data-point: One thing that seemed strange in the WhatsApp chat with agent Helena, is that the one and only time I met her in person she appeared to be on her late 20s, maybe early 30s, she mentioned she has a son; but when we were chatting on WhatsApp she changed her profile picture by a much younger version of herself. Maybe Mr. Hine is going the exta mile on this one and is planning to say she was under age (or switch the subject by a different person that is under-age). Again, I am saying this because they are too predictable to me at this point. To be safe, I will call my lawyer and ask her to politely request the video recording from the bar.
       For good measure: I added to the archive the entry where Agent Patricia Rojas and her military-grade antenna were flagged by the pipeline on 09/27/2024.
       Also, this raises the stakes for Marcelo's Pediatrician (Patricia referred recently to the the Pediatrician that cares for my son, she is a Venezuelan doctor and her house is also marked in Travis Kalanick's geo-index).
    7. [Updated of 12/24/2024] Important observation: The pipeline just flagged Alci Sanchez, her house in Campo Verde, Tia Juana, Estado Zulia, Venezuela, is marked in Travis Kalanick's geo-index.
       For: Context: Mrs. Alci passed away on 2018 after battling Cancer for months in Katy, TX. Mrs. Alci was Patricia Roja's mother, I document here a few data points about this observation of the pipeline:
       1. Mrs. Alci worked in the same school as my mother from 1992 to year 2004.
       2. On or around the year 2007, my parent's were relocated (by the state owned Oil company) from the house they had assigned in the Subdivision, to another house in the same subdivision. This new house happened to be the house next to Mrs. Alci Sanchez. At that time, my father was under my employ. My father was the moderator of the posts that users would post on my free classifieds website LoQueGustes.com (he was the human curator).
       3. This is an important detail: The house exactly behind Mrs. Alci's house, was permanently assigned to Rafael Ramirez for when he visited the oil fields. Rafael Ramirez was the "Minister of Oil & Gas" (translation mine) and President of the national oil company PDVSA. Yes, in countries like mine it is a common practice that a company like PDVSA and the Government entity that is supposed to regulate it, are both presided over by the same person. To put forward an analogy to describe this practice: this would be as if in the US, the president of the Chase bank (to pose an example) was also the director of the FED. Well, Rafael Ramirez' house in Campo Verde was right behind Alci's house, and Alci's house was next to my parents house, while my father was working on LoQueGustes.com as a human curator.
       4. Mrs. Alci was a strong supporter of Hugo Chavez and when the Oil strike of 2002 happened in Venezuela (when the Venezuelan military was flying attack helicopters above our homes), Alci was promoted to be the regional director of Educative programs of the traning center (CIED) of the state owned Oil Company (PDVSA). A similar situation as with Carmen de Fanti, but Carmen de Fanti achieved higher rank.
       5. When Mrs. Alci cancer was advancing, she got relocated to Katy TX with all expenses paid by Citgo. Citgo happens to also be the same employer of the male agent Priddy of 26718 Valleyside Drive, Katy TX 77494.
       6. According to information Patricia gave to my mother, when the cancer had metastasized, Mrs. Alci got admitted into a treatment program that would have been out of reach financially for Patricia, if it wasn't a clinical trial at no cost to the patient. This could be an important lead if it turns out that someone did pay for the treatments she received.
       7. Patricia Rojas was married to Francisco Castillo. Francisco Castillo is the same childhood friend that extracted information from me about the KOL-Vaccine (this happened at the Ambriza restaurant at LaCenterra), and that changed his phone number after that and his new phone number has an 8-digit prefix match with the phone number of the landscaper introduced to us by agents Priddy and that poisoned our trees. I know, it is complicated, but that's in part why it had gone undetected for so long.
       8. When Patricia and Francisco got divorced, they had some assets to divide: two cars, one iphone, among other things. I remember that Francisco showed me once the divorce negotiation emails and I remember thinking that they were crazy for "fighting" in such a way over an iphone. I remeber the fight being so ugly, that I interanally considered offering Francisco my iphone as a gift so he would stop figthing with Patricia over that. Now, I understand that the divorce fight wasn't for the iphone per se, but for who would get to keep the "working instrument".
          Eventually, the divorce dispute got resolved by a very effective judge, and Patricia moved on with her life and eventually found a proffesional job as an engineer with Schlumberger, remarried and purchased a house that is also marked in Travis Kalanick's index and that has/had a black trampoline antenna in the backyard that is also marked in Travis Kalanick's index.
       For comic relief: At some point I had to fire my own dad from the job. The reason was that the Chinese (working for eBay) were flooding LoQueGustes.com with fake posts and my father was letting them in. The comic relief lies on that because the Chinese operators didn't know how to write in Spanish they would use Google Translator and they would post these posts where the Chinese person would say they were selling a "French Bulldog" and Google Translator at the time wasn't as advanced as today and would translate that as "Perrito de Toro" ("Little Dog of Bull" literal translation to English).
       Before Mr. Hine accusses me of making anti-semitic remarks: My comment has nothing to do with race, I simply know for a fact they were Chinese because, at that time, I backtested the posts with Google Translator and the only language that would produce the exact same title and body of the posts, consistently, was "Chinese Traditional" (not even Chinese simplified).
       On a more serious note: This last paragraph I think highlights the main difference between the West and East' approaches to business. In this 18-year saga, one can see that the East rewards people based on the level of access they have and how far they are willing to go to furhter their intrests. While in the West, we reward people (or not) based on their ability to get the job done. Even if he was my father, I had to fire him. I still love him, but he had to go (from that position).

    8. The Blood Donation Centres

       The pipeline flagged some of the blood donation centres in Houston. What triggered it was the recently implemented IronyBoost score multiplier.

    9. The Roblox ruse

       An old email thread got flagged by the pipeline. It's a strange event, I need to debug in detail why it got flag with such strong signals. Posting here just so I don't forget to move it to the Archive.
       Event date: Year 2016. Event description: Our son Sebastian who was 8 years old at the time, was playing Roblox on his iPad and somehow he generated a charge for a bit over $1,000 in Roblox digital currency spent on games. Gloria opened a support case asking Roblox to reverse the transaction alledging that it was inappropiate for a company to sell $1,000 in digital currency to an 8-year old child. Roblox response was that it was Glorias fault for not locking the device. Fast-forward to 2022 and I am being interviewed by Roblox's CEO the "Builderman" (or whatever he calls himself) and fast-forward to 2024 and I capture the geo-index of Travis Kalanick and find out his family residence is marked in Travis Kalanick's geo-index.
    10. Yup, that seems to be the culprit, as soon as I posted the comment below at 11.20am CT on 12/23/2024, planes started flying every 2 minutes above my house 2302 Britton Ridge Drive, Katy, TX 77494. Thanks to the "Excecutive" team for confirming their involvement.
    11. [12/23/2024] The eye drops have been flagged. These people are unbelievable. These eye drops I bought on Amazon. They are another form of medical torture.
        Related: my mother asked me yesterday how I was feeling from the respiratory thing they gave me with the children toys 3 days ago, my instant response was: "Well, they had given me so many biological agents over the years that I think I have became `unkillable`, they made my immune system to be resistent to pretty much everything". I wasn't joking, I have had COVID something like 7 or 8 times in the last 3 years; which is strange because I did get the two shots of the Pfizer vaccine. Wait ... the second shot was at CVS.
        With this one, CVS' executives just graduated from being on the SpyHELL Dashboard to having their own folder on the SpyHELL Archive.
    12. CommissionCrowd, ZoomInfo, Hubspot, PayPal have been flagged by the pipeline and co-clustered together and tagged with the tag "eBay".

    13. The IRS Legal Play

        [Posted on 12/22/2024 and updated on 12/23/2024] The pipeline flagged this morning (again) Veronica Sanchez CPA (the Texas based accountant referred by agent Marcos Castillo).
        After that happened, I was left wondering what could be the play related to "Tax Evasion" that David F. Hine has prepared and in store for us.
        I know the precision and the recall of the pipeline are superb, and no document or email has been flagged that could hint to a "tax evasion legal play" by Mr. Hine.
        So to be proactive, I started compiling documents that for one reason or another have not been ingested into the pipeline, and boom! I think I found what Mr. Hine has prepared for this trick!
        On or around year 5/30/2021, I received a letter from the IRS dated 5/26/2021 saying they were conducting an audit on my NYS tax returns and asking for additional information. Accountant and agent Howard Leeds (flagged ~6 months ago) prepared a response and we sent it, we didn't hear back from the IRS. Howard did not charge me a cent for preparing the response, which I found strange at the time, but now I understand: no money trail.
        I am mentioning all this because if it is indeed a "legal play" from Mr. Hine, it must mean that the people involved in triggering that audit might be able to at the very least provide agencies with information on how exactly was that audit triggered. It could be a good lead. Howard Leeds could also provide info to agencies. The case number is: X189621563 ; DLN: PH2109415435 dated 5/26/2021.
        Additional data points:
        1. I noticed that agent Veronica Sanchez had made a "mistake" on my tax return of Tax Year 2022 and in the address field she wrote the address of the agent of 26715 Valleyside (the Asian agent that I sent the Cease and Desist letter earlier this year to), instead of my address 26714 Valleyside drive (she changed the 4 by a 5). It crossed my mind that maybe the play is that the audit correspondence goes to that agent, so I never get any letters from the IRS and therefore can't reply to any requests and get in trouble with the IRS. It is possible, this is the kind of things they do.
        2. Agent Veronica charged us $300 for preparing the tax return. My tax return is more complicated than average because of the need to include the LLC and 3 rental properties that are located in Canada. Howard Leeds charged $2500 for preparing an equivalent return. The price disparity is so large, that it seems like indeed this was a ruse (the price was too good to be true).
        
        If it turns out to be the case that that is indeed the play, agencies will see that this is just a distributed attack that weaponizes the institutions of the country to attack its own citizens. The good thing is that now, all these agents in this play (at least 8 agents if I am counting correctly) are all tied together and related to each other on Travis Digital Map (that Robert Gates gave me).
        
        This is a hypothesis (not a fact since I have not received any correspondence from the IRS), if this turns out to be a ruse, these would be the ruse credits:

        Agent	Role
        Douglas O'Donnell	Enabling agent / Deputy Commissioner for Services and Enforcement of the IRS
        David F. Hine	Chief Ruse Engineer
        Michael Hughes	Ruse Legal coordinator
        Howard Leeds	Accountant, NYS Tax Return Preparer and preparer of the response to IRS enquiry case number: X189621563 ; DLN: PH2109415435 dated 5/26/2021
        Veronica Sanchez	Accountant (CPA), TY2022 Tax Return Preparer & Introducer of the "address" mistake that makes the ruse possible
        Agent 26715 Valleyside drive, Katy, TX 77494	Recipient of IRS correspondence addressed to Reinaldo Aguiar/Gloria Espina charged with not forwarding it nor returning it to the IRS.
        Marcos Castillo (SEBIN)	Referrer of agent Veronica Sanchez CPA
        Daniel Parra (SEBIN)	Referrer of agent Veronica Sanchez CPA
        IRS Agent #1 (name Unknown)	IRS employee tasked with routing and timing things so the ruse can work
        IRS Agent #2 (name Unknown)	IRS employee tasked with making the determination that Reinaldo Aguiar should get a huge tax bill.

        If this turns out to be the case, then it means I was wrong thinking Howard Leeds was recrutied, I would think he was an agent since before I became his client. I have to check who referred me to Howard, but I think it was my manager at Google Michael Schueppert (but I need to double check this).
    14. The BitcoinATMs have resurfaced to the the top of the list of entities flagged in the last run of the pipeline.
    15. Agent Jillian Walsh has been flagged again by the pipeline in the last run. Was tagged with "SEC", "Royals" and "French Entrepeneur" this time. These are in addition to the "Medical Torture" tag she got on the previous runs of the piepeline.
    16. Medtronic has been flagged by the pipline.
    17. Daniel Nepsund, PT has been flagged and tagged with "Medical Team".
    18. The Collective Precognition Incident has been flagged and tagged with the "Common Sense" tag.
    19. Mark Siurek (msiurek at warrensiurek.com) has been flagged and tagged with the "David F. Hine" tag.
    20. Wing Assistant (recommended by a flagged agent that applied the Employer ruse to Gloria), Chrono24 (tagged with "Successful Marketplace Supposedly-not-owned-by-eBay") have been flagged by the pipeline. TaskRabbit was flagged and tagged with ("Travis Logistics Signature")

    21. The Friendly Electrician and Related Gadgets

        Cesar, the electrician that assisted us for years, recommended a set of exterior lights that can be installed on the upper part of the faccade of the house. Cesar installed the lights. The app that controls the lights makes the predictable requests that Travis Kalanick needs to decrypt network traffic. The lights brand is HALO and they were purchased on Amazon.
        Same story with the Smart GE Light Switches, the app got flagged in the same way too. Additionally, some of these switches trigger the signal detection we have setup with the reverse-data-collection system, but I am yet to isolate if the transmissor is in the switch itself, or on the light bulbs.
        Cesar is a sensitive topic because when the online attacks via Akamai increased, my reaction was to build a mini-datacenter inside my home (to have at least a fighting chance). Those severs consume a lot more power than what regular residential wiring can support, so I asked Cesar to install additional wiring to be able to power up the datacenter. I asked cesar to please keep confidential the location within the house where I was buiding the datacenter (I was afraid they would break in and steal the hard drives). But if Cesar was playing for the other team all along, well ...
        Cesar is also an interesting character because he taught me one of their extraction protocols, pelase let me elaborate.
        
        When an agent is discovered, exposed, or they need to relocate the agent, the criminal rings immediately triggers an "extraction protocol", this is a ruse designed to get the agent out and put him/her "on ice" sort to speak.
        The most common I've seen is to create a situation where the Target ceases contact with the Agent, for example, the Target gets upset and stops talking to the criminal Agent.
        In the case of Cesar, he asked me if I would lend him $1,000 and he also "purchased" from me all the appliances that I had on my house before and that I replaced with newer appliances. Cesar took the appliances, the $1,000 and dissapeared. Making it look like it was about the money and the appliances. But in reality, he needed to disapear because the situation was escalating and if I contacted the authorites, he could be interviewed. The play with the appliances, specifically, I imagine was because those appliances had bugs (that they installed before they sold the house to me) and they couldn't leave the appliances just lying around on my attic (for the same reasons). Now that I know what is going on, I look back and I can recognize that they have applied extraction protocols near me dozens of times, some of them recently ...

    22. The Panama Connection

        There were several incidents involving persons from Panama that were Politically Exposed Persons (PEP). Some of the personalities include:
        1. A former first lady of Panama.
        2. A contender for a seat in the Parliment of Panama.
        3. A high profile public servant and aspirant to run for Mayor of Panama City, Panama in the next elections.
        4. An active NYPD Liutenant.
        All of them were tagged by our automated pipeline with the "Venezuelan Intelligence", "SEBIN", "Legal Play", "David F. Hine" and "David Plouffe" tags.
        There are other Panamenian institutions that are being spied on by Travis Kalanick / David Plouffe / Robert Gates, for example:
        1. The Panama Canal.
        2. El Tribunal Electoral de Panama.
        
        Note to Google team: There is a city in Florida called Panama City (FL) that Liana Techonologies / Travis Kalanick use to "steal" topicality from political figures in Panama City, Panama (they exploit the fact that the cities have the same name). I have documented how they do it and I can reproduce the behaviour (and reverse it) with the reverse-engineered version of their evil system that I have (the KOL-vaccine, which they probably stole during the NYC-UN ruse). One of the important pieces of this particular attack is The Benzinga.
        Additional note: One could argue that Liana Technologies is one of the entities that largely decides who wins the elections in Panama (well, whoever controls Liana Technologies).

    23. The Anaconda Server

        The Anaconda server has been declared "missing". It seems like it vanished from the face of the earth and is nowhere to be found.
        We are offering a reward for Anaconda's safe return. We are offering to sign the title of the KOL-mobile Truck to the name of the person who returns it.
        The KOL-Mobile truck has immense potential value because it might be tangible proof of an attempt against me (please see the post about the time when someone sabotaged the front-breaks of the KOL-Mobile-truck, documented beore).
    24. PSA: Testing a new experimental algorithm. The algorithm flagged a person that followed me on multiple occasions and also was seen on or around 5/1/2024 standing outside of 26715 Cedardale Pines Dr. He was wearing a hat like a beanie gray or brown, same or very similar hat in all occasions and sunglasses. 5’9-5’10 ~180lbs. One of the days he followed me he was driving a white Honda SUV and in that ocassion he followed me to this exact place (latitude, longitude): 29.710257253545507, -95.81486674699762 . He is tagged with "Venezuelan Intelligence" and "SEBIN".

    25. The eBay HR Department

        I was reflecting about something, this is just a personal observation that does not come from the pipeline.
        The train of thought was that I realized that the members of the criminal ring leadership have one skill or technology that we must give them credit for: They were able to recognize back in 2005, when I was unemployed and wrote that very amateur website to compete with Autotrader, that I posed a risk to them.
        They recognized that to the point that they immediatly put me under heavy surveillance and started moving me from company to company (so they could spy on the companies by proxy: me).
        The question that came to my mind is of course: how did they know that? how did they perceive that? I didn't have any skills, hard experience, or past accomplishements in software development.
        Or is it that they put under surveillance everybody that could evolve into a trheat? Scary thought, that of course led me to think of how many other targets are there?
        But the next thought that came into my mind, hit a little bit closer to home: If they were able to perceive my potential as an engineer when I had no skills, no resume, and no pedigree. How is it possible that my manager and the HR department at Google did not perceive the vaule in retaining me when they saw the Press Release published by Adam Korn on Business Insider?
        I asked myself this question because when that happened, my manager Yihua called me into a meeting within a couple of hours of the Press Release being published, but she didn't try to make stay with the company. Then, I had an exit interview with HR, they asked me why I was leaving and I told them the truth: that my initial stock grant had vested completely and I had hit "the cliff" and my take home income had dropped by around 30%.
        I asked the HR representative if the company would consider giving me a special grant to take me to at least where I was before hitting the cliff. She said it was Google's Policy to not negotiate with people that are leaving or trheatening to leave, and she wished me the best on luck on my next role. Fair enough.
        Of course I can't help but to put that approach in contrast with eBay's approach that not only they put me under surveillance for years, they also set up my house at Valleyside Drive, Katy for me before I even purchased it, provided me with hundreds of "neighbhors" paid by them, surveillance equipment, "special" medical care (Dr. William Lane + Kelsey-Seybold + Chinatown Doctor), an entire "legal" team (David F. Hine et all). All these things must cost hundreds of millions of dollars combined.
        So the question in my mind became: Is it that eBay had a special skill or technology on the HR field? Or is that the HR person/Manager at Google were not equiped to see that it was desirable to try to get me to stay with the company?
        Side note: I am not saying that I think I am valuable for a company, what I am saying is that the perceived value of my services to eBay/Travis Kalinck seems orders of magnitude higher than the value perceived by my manager and the HR person at Google. One of the two has to be wrong.
    26. The Airtag devices I purchased on Amazon, have been flagged.

    The Two Intentional Car "Accidents" Targeting Gloria

    Important note dated 12/22/2024: I have known this for months but decided to post about this just now because Gloria is out with the kids today doing some Christmas activities at a Hotel in Downtown Houston. For context: In these two events below, Gloria's reaction was to call me when the "accidents" happened and my reaction was to drop everything I was doing to go assist her immediately. The criminal ring knows that. I am anticipating they might try to cause another vehicular accident today or tomorrow (Gloria and the kids will stay overnight) to try to get me to come out of the house as today is my 10th day without leaving the house.
    These are events/vehicles flagged that attempted to cause physical harm to one of the co-founders of Key Opinion Leaders: Gloria Espina.

    The car "accident" of 09/23/2021

    Exact location of this incident: 29.719705720411678, -95.84778817952538
    Description: A vehicle ran into Glorias car as she was picking up her sister at the entrance of a Grocery store. The vehicle that ran into Gloria was flagged by the pipeline and saturated all the scores produced by the Vehicule scoring models. In plain English this would mean that if that vehicle passed in front of the KOL-mobile in the present day, the KOL-mobile would emit 4 alert tones and turn on the flashing lights.
    
    Data points:
    • The car driven by Travis Kalanic's agent was the gray SUV (TX MVP-0094)
    • Glorias' car was the blue Tesla Model S.
    • The agent was the lady with the pink t-shirt on the background of the third photo standing next to Gloria and the Police officer.
    • The police officer said there was not much he could do because the "accident" happened on a private parking lot. He ruled that the accident was Glorias fault, although, it was obvious that the agent ran into Gloria (she hit her on the side of the car). It didn't seem worth the trouble to pick up a fight with the police officer, so I paid the increased cost of repairs.
    • At the exact moment this was happening, agent Mayur Thakur was messaging me on WhatsApp asking me to meet with him.

    The car "accident" of 08/14/2023 with the "Self-driving vehicle"

    Exact location of this incident: 29.718268473999444, -95.8452481278007
    Gloria was parked at the parking lot (29.718273132854108, -95.84527092657538), her vehicle was completely stopped. All of the sudden, a vehicle that was parked and unocuppied in the row of vehicles in front of Gloria, started moving backwards (without having a driver inside or any occupants inside) until it crashed into Gloria's vehicle.
    The vehicle that ran into Gloria's car was flagged by the pipeline and saturated all the scores produced by the Vehicule scoring models with even stronger signals than vehicle they used on the "accident" of year 2021. In plain English this would mean that if that vehicle passed in front of the KOL-mobile in the present day, the KOL-mobile would emit 4 alert tones, turn on the flashing lights and deploy the smoke screen for good measure.
    
    Data points:
    • The car not driven by Travis Kalanic's agent this time was the gray compact SUV (TX RGS-5255)
    • Glorias' car was the black Tesla Model S.
    • The agent was Denise Hanrahan, TX RGS-5255, 2718 Hazy Creek Dr, I have a copy of her insurance card. Her address is marked in Travis Kalanick's geo-index with a Travis-Kalanick-Evil-score of 4 points (junior agent, likely to talk).
    • The police officer on this ocassion also said the same thing as the police officer on 2021: that there was not much he could do because the "accident" happened on a private parking lot.
    • The car was repaired at the Tesla dealership in this ocassion. I imagine all this was a ruse to install some more sophisticated survellance equipment in the car because they perceived increased risk of getting caught. In other words, I had leveled up.
    The commonality seems to be that: i) the accidents happened inside a private parking lot (where the police officers can say that there is nothing to do); ii) The drivers were caucasian females. Probably to lower our psychological resistence. For clarity: since both Gloria and I are both immigrants, our response to a stressful situation like this would be very different if the other party is, for example, a Venezuelan male than as in this example a Caucasian female. I don't write this observation in a derrogative way, it's just an observation about our own biases when responding to situations of conflict (the criminal ring knows and uses that constantly).
    If I had the access to the right data sources, I would look for similar incidents near places of power or likely targets.
    27. Apple pay has been flagged for making the predictable requests Travis Kalanick needs to decrypt network traffic illegally. Also the "Apple Card" (credit card) was flagged by the pipeline for other (very strong) reasons.
    28. The company "G.I. Wrecker Service" 832-605-1735 has been flagged by the pipeline.
    29. The two Attorneys we consulted to fence off their agents, were flagged by the pipeline and tagged with the "David F. Hine" tag:
        1. Gene Rhough gene@legallabs.io (based in California)
        2. And with this one I think I hit the jackpot: This is his email signature written by him and sent by him using our email system:

           Wayne Bailey wayne.bailey@keyopinionleaders.com
           Adrian Wayne Bailey
           In-house counsel, Key Opinion Leaders
           T 512-626-5682 
           EMAIL: wayne.bailey@keyopinionleaders.com
           

           I am sure David F. Hine understands the implications of Mr. Bailey being an agent.
    30. [12/22/2024] Veronica Sanches CPA was flagged and tagged with the "David F. Hine" tag. Among other things, she wrote an email in which she implied we were "looking to evade the rules" (translation: you want to evade taxes), I imagine this was done to set a precedent for some legal play they have prepared related to Tax evasion (saying this because agent Oksana sent me messages basically implying I had "made mistakes while filing" my taxes years ago (e.g. "tax evasion"). Oksana's messages were published here a couple of months ago.
        Veronica Sanchez CPA was referred to us by agent Marcos Castillo (tagged with SEBIN) and agent Daniel Parra (also tagged with SEBIN). Marcos Castillo said Veronica Sanchez was his sister. Although I did notice the last name didn't match, I thought it could have been her married name, but today, I am not sure if I would believe they are actualy related.
        Side note: Everything with Veronica was working fine. What triggered this incident was that I asked her (in that email thread) to prepare a petition to the IRS on our behalf to switch the company to be an S-Corp. I imagine that if our company is an S-Corp, it would cause a major inconvenience to Mr. David F. Hine and Travis Kalanick. I don't have any legal training, so I can't really tell what that inconvenience would be, but a Tax Lawyer will probably be able to tell me their reasoning for "firing" my accountant right after I asked for the company to be considered an S-Corp and to issue a stock grant to John Giraldo (I didn't know at that point he was a corporate spy).
    31. The managers at Google that have been flagged so far:
        • Kyle Scholtz (Manager - GWS team)
        • Bharat (Director - GWS team)
        • Scott (last name is missing, first NYC manager at GWS team NYC, was Alvaro's manager, Scott is a name well-known name marker)
        • Mayur (Local Search Ranking manager)
        • Director (the name is missing) that was put in charge of the Local Search team after Mayur left Google
        • Yihua (Local Search Ranking manager)
        • Sunita Verma (Director at Googel Ads - sunitav at Google.com) - Targeted me working in combination with Jovan Shariff (ex-gf)
        Note related to the Google Ads team: Over the last couple of years, I applied more than once to become an "Adsense publisher" and an Advertiser on Google Ads, this would have allowed me to both promote the website on Google and to place Google Ads on KeyOpinionLeaders.com pages (to be able to generate some income that would help the company overcome Travis Kalanick & Co.) Every time I applied, my application was denied with some generic reason like "Site doesn't meet quality standards" or "site circunventing policies". I opened a ticket and had even email exchanges with some of the people in the Ads teams, asking for more specific reasons so we could fix them, they said they would "escalate" the issue but at the end, they just stopped replying and gave us no answer.
        Risking to state the obvious: it is plausible that the people that killed that email thread, were Travis agents because Robert Gates wouldn't let us generate $1 of income. Then on or around March 6 2024 I got an email saying that "Your Google Ads account, (‏357-925-8284), was canceled on 05/12/49", so I imagine this is indeed a huge lead. People involved in the thread "Information Retrieval Systems LLC- Intro to Ads POC" thread were:
        • David Chalupsky dchalupsky@Google.com
        • mikebarker at Google.com
        • juanjgomez at Google.com
        There were other people involved in the exchanges. I have added all the email exchanges related to this to the Archive.
    32. 
        
        I just realized that the "Funeral Planning" mailers and such I have been receiving lately, apparently have been a "thing" for a while (for context: https://arstechnica.com/tech-policy/2020/06/ebay-execs-sent-cockroaches-and-bloody-pig-mask-to-harass-journalists-feds/ ). I read a bit more of the article above, and wow, some of the things sound strikingly familiar to me, like 3-pronged approach and: Thirdly, the defendants allegedly conducted surveillance of the editor/publisher couple. After registering for a software-development conference as a pretext to go to Boston, "Baugh, Harville, and Zea (and later Popp) allegedly drove to the victims' home in Natick several times, with Harville and Baugh intending at one point to break into the victims' garage and install a GPS tracking device on their car," the DOJ said. "As protection in the event they were stopped by local police, Baugh and Harville allegedly carried false documents purporting to show that they were investigating the victims as 'Persons of Interest' who had threatened eBay executives. The victims spotted the surveillance, however, and notified the Natick police, who began to investigate. The police learned that Zea had rented one of the cars used by the defendants and reached out to eBay for assistance." I might have found the journalist I am going to give the story to ...
        On separate news, a police officer paid a visit to my home on Friday 11/29 at 9:50am (three photos posted above).
        Before I describe what unfolded, I would like to note that I have a "No Trespassing" sign on the lawn that is clearly visible, and unfortunatelly, I have to note that the Police Officer did not respect the sign. I believe, without a court order, he should have not crossed the private property line.
        I should also note that there has been a "constant fight" with travis Kalanick & Co. over the "no trespassing" sign, for months.
        It all started when agent 26711 Valleyside inserted an arm inside the entrance gate of 26714 Valleyside, and I sent him a "Cease and Desist" letter via the Home Owners' Asociation of Cinco Ranch 2 noting he disregarded the "no trespass" sign and asking him to not do it again.
        After we escaped Valleside Drive and moved to Lake Pointe Estates, agent Phill Denning has "ordered me" in at least 12 occassions to take down the "No Trespassing" sign (so I loose the right to call the police if they do trespass).
        They were sending us "fines" and "violation notices", practically every week, for having that discrete sign on the lawn. Anyhow, I digress.
        The officer said that I could get arrested for using the white alert lights in the new KOL-mobile vehicle and for using the the siren. The officer elaborated and said (and I am quoting the officer) that someone from Lake Pointe Estates had called the police saying I had "Police Blue lights installed on the vehicle" and that I was "impersonating a police officer".
        I conveyed to the officer that the lights were white lights (not blue/red lights) and they are commercial grade lights. I further explained that if they were police lights, I could not have bought them or the vehicle (the sale of police lights and sirens is regulared by law in the US, and they can only be sold to law enforcement agencies). The police officer told me to not use the white lights because `I could be arrested`. I found the whole situation ironic, I mean, that the spies and their criminal ring attack the country and their citizens in every imaginable way, but then, when the (commercial grade) siren reveals their presence and rank, they call the police and and lie to the police by saying that I am impersonating a police officer.
        Risking to state the obvious: If I was a betting man, I would bet they intercepted the police officer at the exit of Lake Pointe Estates to intercept his cell phone traffic to try to get the audio samples sent by Meta/Whatsapp/Amazon/etc and the telemetry from his phone (that way they would have listened to my conversation with the police officer and the signal measurements closer to my home-office). If I was tasked with investigating these criminals, I would ask agent Phillip E Denning for the recordings of the security cameras located at the entrance of Lake Pointe Estates and would look at the recordings made by the police vehicle around the time the officer was leaving the subdivision.
        Related to this: just 12 hours before this happened, the male security guard of Lake Pointe Estates (flagged in a recent entry before), refused to let me in unless I parked my car next to a car that was parked on the left lane at the entrance (probably waiting to clone my phone). I rolled down the window and asked him to please open the gate so I could then proceed without stopping (I know they need 3 seconds to capture the signals), his response was: "No, I will not open the gate unless you park next to this car, and flashing sirens will not get you in, you are impersonating a police officer which is illegal" (the exact same thing the police officer told me just 12 hours after when he came to my house). All this just confirms that this police officer visit is coming from Phill Denning and the male guard at Lake Pointe Estates, which to me, just further confirms what the pipeline already flagged using data-science.
        Additional info: It seems like they recently installed what seems to be an antenna behind the call-box/intercom located at the entrance of Lake Pointe Estates (I checked the KOL-mobile recordings and it wasn't visible before in the recordings I reviewed). This is a hypothesis (not a fact): It is possible that the play (or the fallback plan) was to force me to park near that antenna when the security guard was refusing to let me in. Risking to state the obvious: Their goal is to `sniff` the MAC address of the vehicle ( to intercept me / clone my phone / harm me if they `need to` when I am outside of Lake Pointe Estates). This is just the classic `Travis Kalanick` MO, the one he applied to Lyft drivers 10-years ago, nothing innovative here.
    33. The pipeline detected a potentially dangerous Intelligence Agent at this address: 16935 WATERING OAKS LN, HOUSTON, TX 77083-5842. Tagged with "Intelligence", "Special Ops" and "Black Ops" tags.
        Yes, we do have those tags since months ago, I just never publish them because I wanted to de-escalate the situation, but today is a special day, you attacked my child using a biological or chemical agent.
        The house at 16935 WATERING OAKS LN, HOUSTON, TX 77083-5842 is registered to the name of "ADEWALE FAITH". The same irony as with the "Christhian Brothers Autommotive". I will turn this into a signal, will call it IronyBoost.

    34. The Federal Job Hunt

        Fencing off a criminal organization of this size and surving it carries a big financial cost and an enourmous waste of precious time that would had been better spent developing software to help advance society. This year alone, I estimate I have personally spent more than 1.4 million USD, a big portion of my life savings that took me all my adult life to accumulate, just to fence them off. I have not made any luxury purchases nor taken any trips and I havent received ANY income in almost two years (my full time occupation is to fence them off).
        I am writing about this because at some point over the last few months, I had the idea to look for a job.
        Given the level of harassment and the "Employer" ruse they have applied numerous times to me already (eg. see the Damian, Nam, Lalit, Mayur, Arnaud, Kavita sagas among others) I thought the only option was to try to find a job with the Federal government. So I applied to perhaps 12 or maybe more different job postings posted by the Federal government.
        I was recalling this today, and it ocurred to me that maybe, this could turn out to be a lucky break. I write this because knowing that they had all my communications intercepted for years, if they did intercept and decrypt those job applications to job postings of those Federal agencies, well, they were not only spying on me, they were spying on those Federal agencies too, and that carries steeper criminal penalties.
        I have no legal training, so I really can't offer legal opinions, but based on what I see in Google Search results, spying on a Federal Agency can result in 5 to 10 years in prison, and up to 20 years in prison for those with prior convictions, but assume 5 years (per offense) to be conservative.
        I applied to dozens of jobs, so it could be dozens of offenses ... I was lucky to include a paragraph about that on the complaint we filed with Mr. Paxton's office, on paragraph 39:
        
        Gloria and Sebastian also applied for jobs with Federal agencies.
    35. They hijacked the Gmail account I was using to edit the SpyHELL dashboard. They locked me out of the account and I can't reset the password. I created that account solely for the purpose of editing the dashboard (anticipating they would do this). Posting here the account information just in case any Google Engineer stumbles upon this post and can route to go/security. The account that they hijacked was: mhnkil30249@gmail.com . I removed the edit access to that account.
    36. I am boosting the entry below about Twitter temporarily because I thought of something that I think could offer a hint about the motivations of one of their notable ruses.
        I was thinking about the level of effort and coordination they put into the Twitter ruse, which culminated with a "Search Expert" from eBay joining Twitter and being positioned literally next to me, and then after extracting technical information from me, him leaving the company and re-joining eBay with a better position than he had when he left for Twitter (just 6 months prior).
        What I am struggling to understand is, if they had me surounded at Twitter, why not steal what they were after, there?
        To offer more context on this question, I am noting here a couple of incidents that happened while I was separated from the company (on Parental leave):
        1. While I was on parental leave: My manager Arnaud Weber (flagged before, his house in California acquired in 2015 is marked in Travis Kalanick's digital map) called me and told me he was leaving the Ads team (in which we both worked) and he was going to move to the team that owns Search. He told me that he could see me "transforming Twitter Search" and that he would bring me as an "Expert/Advisor", my job wasn't to write code but to tell the team what to do (I am quoting Arnaud to the dot). It sounded like a good opportunity, so I accepted.
        2. Previously to this incident (before leaving the company due to my parental leave), I had pitched Arnaud the need to build a notion of "prominence" into Twitter Search (it didn't have a real sense of author prominence). I elaborated and said that pretty much all the companies in the world that are respected, have a notion of prominence: Google knows which are the authoritative websites for all topics, instagram knows who are the authoritative accounts for a vertical, WhatsApp knows which are the important phone numbers in your contact list; but Twitter didn't have a good multi-dimensional notion of prominence. I tried to sell that hard, but unfortunatelly nobody at the company supported the idea, and because I was in the Ads team, I was told that basically that wasn't my job (that was the Search's team job) and to leave it alone.
        3. While I was still separated from the company, Arnaud called me and told me that he had received a call from "the lawyers" and that "they were out for blood". He explained that someone from the search team had "complained" to the legal team that I was using "Google's secrets" at Twitter, and that I could be fired.
        Today I understand that this was a ruse to accomplish three goals: a) to put me under stress while I was separated from the company; b) to force me to use the company's laptop which I hadn't used since I started the parental leave (to open the posibility of some sort of future legal claim); and c) to get me to talk to a lawyer and put me in a no-win situation: If I said that *my knowledge* could be seen as a proprietary technology, then I could never work on anything related to Search ever again. If I said it *my knowledge* was not a proprietary technology, then in the event that I ever sued them for misappropiation, they would say "hey, he said it is not proprietary, he has no claim to intellectual property".
        What I did: I told the lawyers the truth: I told them there is nothing propietary on my craft, it is a form of art, like playing an instrument, it is not a question of secrecy, but how well you can perform, how much beauty you can extract from the raw materials of your craft.
        Case in point: We took one file that contained only numbers (Travis Kalanick's geo-index), and one can't help but see ALL the intelligence we are able to derive from that file with zero structure and weighting only 30MB. The reason is not the file (the file was publicly hosted and has been for decades), it was not a secret techonology (Travis, the Chinese, The Russians, The Iranians have thousands of engineers more experienced than I am), the secret is the passion applied to the craft, and that, cannot be stolen or replicated.
        That's also the same reason why they are being beaten at their own game: they are not passionate about espionage. They are passionate about money, power and control over others. But those aren't crafts, those are merely things or temporary situations.
        I guess the take-away is that it doesn't really matter what craft you take on, or even if it is "good" or "bad" for the world, but really be passionate about it, and enjoy what you do. There's no way you will not end up being surrounded by the best in the field.
        To not divert too much, I am posting here a non-confidencial "contract" I received from Arnaud when he switched me to the Search team, to show that I was NOT in search before, and also a sanitized screenshot from when I built a prototype for Arnaud that I thought could help Twitter, but ultimately was not adopted by Arnaud or the Search team.
        
        
        My theory is that they didn't allow Twitter to use the prototype because they didn't want Twitter to have access to the technology, they wanted to steal it for eBay and the Parallel Internet of their Shadow Government and that nobody else could have a comparable technology (to gain an unfair advantage).
        In my humble opinion, this is probably the most subdle and destructive form of sabotage: placing people that act incompetently, wether on purpose or not, at the top of the very best companies and organizations.
        Side notes:
        1. I took the redacted screenshot because agent Kavita applied the Recruiting Play (again) and had me interview with Snowflake (flagged before) and she asked me to take a screenshot that showed the "the scope of a big project I had worked on recently", and "the team wants to have a sense of your scope during the 'Deep Dive Presentation'" (of course, there is always a Deep Dive in these interviews). The Snowflake interview was on October 2022.
        2. Risking to state the obvious: This entire episode has "David F. Hine" written all over it. Does he work for Twitter, for WebMD or for eBay? - I asked him in writting who does he work for but he refused to answer. I kicked him out of my email thread, I didn't care that he is a Partner at Vorys, I thought (at the time) he was acting at the very least unethically:
           
        
        ======== ORIGINAL ENTRY ====
        "Valerie (Wolf) VanderLinden" (valeriewolf [at] twitter.com>), Helen Friedland (hfriedland [at] twitter.com), Kavita Kanetkar (kkanetkar at twitter.com), Luke Simon, Arnaud Weber, BigSur.ai, Ajeet, Vijay and Roberto Konow (Ebay) were flagged by the Pipeline and co-clustered together. The pipeline estimates they were acting together as a group to steal "Search Retrieval" technologies to pass them to eBay.