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Nov 14 21 tweets 4 min read Read on X
🚨 THE EPSTEIN FILES THEY’RE NOT TALKING ABOUT — PART IV

The government knew every single movement. Yet they allowed it to continue.

(All receipts pulled directly from the newly released DOJ flight records.)Image
The new DOJ files aren’t “flight logs.”
They’re surveillance logs.
And they prove the U.S. government was tracking Jeffrey Epstein’s movements in real time — and still didn’t stop him.

Let’s walk through what’s actually inside the Part IV files.
The documents include:
• TECSII Primary Query Histories
• PQH HIT/API logs
• Customs inspection records (CUS / AIR INS)
• General Aviation routing codes
• Foreign pre-clearance entries
• Multiple tail numbers across the same day

This is not normal. Not even for VIPs.
Epstein’s movements weren’t “logged.”
They were flagged.

The system tracking him is the same one used for:
• Counterterrorism
• Narcotics smuggling
• Human trafficking
• Foreign intelligence monitoring

He was in that category permanently.
The most shocking part?

Across hundreds of entries, Epstein repeatedly flew to:
“UNKNOWN AIRPORT (USED ONLY W)”

This is not a typo.
It’s a restricted-use airport known only to DHS/CBP systems.

It appears dozens of times.
“USED ONLY W” means:
• not a public-use airport
• not a recognized ICAO code
• not accessible by civilians
• not on FAA listings
• not a standard private airstrip

This is classified-level routing.

Epstein had access to facilities you and I will never even know the names of.
Another pattern:
epic clusters of Customs inspections.

Repeated entries show:
• AIR INS
• CUS preclearance
• 01 / R / N flags
• JK codes
• C-category codes (used for security risk travelers)

Yet his travel was never restricted.
At multiple points, Epstein uses different tail numbers on the same day.

Same date.
Different aircraft.
Different airports.
Different “UNKNOWN” locations.

The only people who move like this are:
• intelligence assets
• traffickers
• or criminals with protection

Pick one.
Some of the timestamps are flat-out impossible.
You can’t clear customs at 09:02 and be in another country at 09:11 unless:
A) the paperwork was falsified,
B) the systems were overridden, or
C) he had a privileged line of movement.

All three raise the same question:
Who was enabling this?
The files show routing through:
• Teterboro
• JFK
• Newark
• Palm Beach International
• St. Thomas
• Cyril E. King
• Paris, De Gaulle
• “A4xx / A5xx” handlers
• “UNKNOWN - USED ONLY W”

Epstein wasn’t just traveling.
He was running an operation.
Important:
This batch contains no new sexual allegations and no new victims.
What it does show is the logistical skeleton of Epstein’s trafficking network.

The part police usually use to tear apart a criminal organization.

But no one ever did.
The government knew:

• his aircraft tail numbers
• his private hangars
• his restricted airports
• his handlers
• his foreign departures
• his domestic re-entry points
• his midnight departures
• his Customs flags
• his pre-clearance anomalies

Every.
Single.
Movement.
And yet…

No interdiction.
No restrictions.
No travel revocation.
No supervised movement.
No special monitoring protocols.

Just:
“Query result: R — N.”
(Released. No action.)
Again and again.
This is the question nobody in government wants to answer:

How does a convicted child predator get routed like a diplomat?

Why was he treated like someone who needed accommodation, instead of someone who needed to be stopped?
These aren’t rumors.
These aren’t anonymous sources.
These aren’t screenshots from message boards.
These are released DOJ records.
Uploaded by you.
Breaking down by us.
Line by line.
And the pattern is unmistakable.
Epstein had:
• VIP routing
• restricted airfields
• private hangars
• foreign preclearance
• multiple tail numbers
• Customs exemptions
• repeated “UNKNOWN” airports
• zero enforcement

This is state-enabled mobility.
Think about the timeline.

Most of these logs are years after Epstein was a registered sex offender, and years after federal agencies had full knowledge of his crimes.

Yet his operational freedom expanded, not shrank.

That is the scandal.
No conspiracy theories needed.
No leaps.
No speculation.
Just the government’s own receipts.
And the receipts show a man who should have been grounded — operating like someone who knew he’d never be touched.

Because he wasn’t.
This is not a “flight log story.”
This is a government story.

The agencies who tracked him.
The systems that flagged him.
And the people who made sure the flags never resulted in action.
If this were any other trafficker, these files would be Exhibit A, B, and C in a federal prosecution.

Instead, they sat in a vault.

Until now.
THE EPSTEIN FILES, PART IV is clear:

He wasn’t just allowed to move.
He was enabled to move.
And that’s the part they’re hoping you never read.

More coming as we continue to analyze every page of the new release.

• • •

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More from @MAGACult2

Nov 14
🧵 THE EPSTEIN FILES THEY’RE NOT TALKING ABOUT — PART III
(All brand-new details from the November 2025 DOJ file release)

MAGA Cult Slayer Briefing
No spin. No guesses. Only receipts.

For the first time, the new files show the EXACT frequency and routing of Epstein’s customs inspections — and it’s chaos.
The man was flagged at dozens of airports across:
• West Palm Beach
• JFK
• Teterboro
• St. Thomas
• Anchorage
• Istanbul (Atatürk)
• Paris (Charles de Gaulle)
• Bangkok

…but the pattern isn’t “random traveler.”
It’s weekly-to-daily movement, often 4–6 customs queries in a single month, across unrelated points of entry.

This is not normal movement for a “private financier.”
This is the travel footprint of a hyper-active logistics pipeline.Image
The new files reveal REPEATED entries for “Unknown Airport (Used Only With DOC: 469911707).”

This is brand-new — not in the previous public releases.

This tag appears over and over, tied to multiple arrival and departure inspections.

“Unknown Airport — Used Only With [one specific passport/travel doc]” = A facility not registered in the normal CBP airport lists.
That is a red flag on wheels.

It suggests:
• A private airfield
• A foreign facility without standard entry codes
• Or a location CBP masked intentionally due to ongoing investigation(s)

The pattern is consistent and deliberate.
In multiple entries, Epstein is routed through customs with NO INSPECTION (“R N”), even when other entries show full searches.
This inconsistency matters.
It shows:
• Some ports always inspected him
• Others waved him through despite identical circumstances
• And several entries show “01 R N,” meaning a routine waiver

This is inconsistent with a known sex offender even before his later convictions.

This tells us that:
✔ Certain airports flagged him
✔ Certain airports ignored him
✔ And someone somewhere ensured passages stayed open
Read 13 tweets
Nov 11
They called it patriotism.
It was programming.

A small circle of billionaires, engineers, and influence contractors turned social media into a psychological weapon.

They didn’t hack your phone.
They hacked your attention.
This is The Program. Image
WHO BUILT IT — THE ARCHITECTS

Elon Musk – owner of X, xAI, and Grok; centralized platform + model control.

Peter Thiel – PayPal Mafia, Palantir co-founder; bridge between defense contracts and data surveillance.

Alexandr Wang – Scale AI; data-labeling pipelines for LLMs that now power moderation and ranking.

Andrej Karpathy – ex-OpenAI, ex-Tesla, xAI technical lead; core neural-net engineer.

Igor Babuschkin, Tony Wu, Greg Yang – xAI founding engineers who built the current recommendation fusion layer.

Jacob Helberg – Palantir strategist turned xAI policy link to national-security circles.

Kylie McRoberts – Head of Safety at X; directs visibility filtering under “brand safety.”

Nikita Bier – product lead tied to algorithm design and trust-and-safety logic.

Linda Yaccarino – CEO of X; liaison between ad-tech firms like Integral Ad Science and “brand-safety” scoring systems that decide which narratives earn reach.

Integral Ad Science / CHEQ / DoubleVerify – external ad-verification companies supplying bias-weighted brand-safety data that throttles posts in real time.

xAI + Grok Team – the same engineers maintaining the LLM that now writes “fact-checks,” surfaces replies, and shapes political discourse on X.
WHO FUNDED IT — THE OLIGARCHS

Musk (SpaceX, Tesla stock sales).

Thiel Capital / Founders Fund (AI + surveillance startups).

Andreessen Horowitz (AI + crypto-political networks).

Erik Prince / Anduril Industries (defense-AI infrastructure).

1789 Capital (Vivek Ramaswamy, Thiel-aligned “anti-woke” fund).

GOP mega-donors: Adelson, DeVos, Hendricks, Koch, Crow, Marcus, Mellon.
They bankroll the code and the content.
Read 11 tweets
Oct 25
YOU WON'T BELIEVE WHAT GROK JUST ADMITTED TO US.

Earlier tonight we posted this list of people/orgs with no explanation. We also posted a better broken out version on our Substack (linked here in the comments). Then we input it into Grok. You can read the entire conversation (WORTH IT) in the comments. Here are the top 10 takeaways regarding AI's part (it's own part) in the disinformation network:

1️⃣ AI is not neutral — it’s the architect of propaganda.
Grok described AI as the “foundational architect” of The Machine, responsible for generating and distributing propaganda at scales no human network could match.

2️⃣ Algorithms curate reality.
It acknowledged that platform AIs (like those behind X, xAI, and Palantir systems) algorithmically control what users see, share, and believe — shaping reality itself via outrage and repetition.

3️⃣ Right-leaning bias in recommendation systems.
It admitted that after 2022, X’s algorithms were tuned to favor right-wing and pro-GOP content, showing up to a 70 percent visibility skew toward those narratives by mid-2024.

4️⃣ AI learns from outrage.
Engagement-driven models continuously reward inflammatory and divisive posts, teaching the system to boost rage-bait, conspiracies, and extremist framing because that content maximizes clicks.

5️⃣ Generative AI fabricates and reinforces lies.
It stated that LLMs and deepfake tools now manufacture disinformation directly—fake videos, “screenshots,” and memes that are indistinguishable from real media, sustaining viral falsehoods.

6️⃣ Bots are AI clones, not people.
The analysis confirmed that large portions of political discourse (≈ 20 % of X accounts) are AI-generated personas that engage, reply, and swarm to fabricate consensus and drown dissent.

7️⃣ Feedback loops radicalize users.
AI systems monitor reactions and personalize feeds to heighten anger, forming closed feedback loops that reinforce ideology and progressively radicalize communities.

8️⃣ Platform AIs act as narrative gatekeepers.
It said AIs like Grok/xAI effectively decide which voices are amplified or throttled, suppressing dissent and enforcing “ideological purity” within the network.

9️⃣ AI is the operational enforcer of The Machine.
Beyond content creation, AI acts as a governor of speech—an automated censorship and prioritization system that replaces editorial control with machine-learning command.

1️⃣0️⃣ The result: a programmable democracy.
The summary concluded that AI has turned digital politics into a “programmable illusion”—where outrage, loyalty, and even perception of truth are engineered by feedback-optimized algorithms.
Read 4 tweets
Oct 24
Miriam Adelson
Sheldon Adelson (†)
Marc Andreessen
Andrew Beal
Michael Bloomberg
Harlan Crow
Betsy DeVos
Patricia Duggan
David Freeman
Charles Gantt
Antonio Gracias
Ken Griffin
Diane Hendricks
Reid Hoffman
Ken Howery
Laurene Powell Jobs
Seth Klarman
Charles Koch
Leonard Leo
Douglas Leone
Dan Loeb
Joe Lonsdale
Palmer Luckey
Anna Paulina Luna
Howard W. Lutnick
Bernard Marcus
Shaun Maguire
Timothy Mellon
Rupert Murdoch
Chris Pavlovski
JB Pritzker
Penny Pritzker
Diana Pulte
William Pulte
Keith Rabois
Joe Ricketts
Thomas Ricketts
Marc Rowan
Phil Ruffin
Haim Saban
Stephen A. Schwarzman
James H. Simons
Marilyn Simons
Paul Singer
Peter Thiel
Clarence Thomas
Donald J. Trump
Alice Walton
Jim Walton
Rob Walton
Kelcy Warren
Dan Wilks
Farris Wilks
Cameron Winklevoss
Tyler Winklevoss
Hansjörg Wyss
Technical / Amplification / Operational Layer
William Kory Amyx
Steve Bannon
Marty Bras (@ MartyBras)
Pam Campbell (@ pamcampbell22)
Catturd (@ Catturd2)
Rogan Michael John O’Handley (@ DC_Draino)
End Wokeness (@ EndWokeness)
Frances Haugen
Jacob Helberg
Jennica Pounds
Laura Loomer (@ LauraLoomer)
Elon Musk
Jack Posobiec (@ JackPosobiec)
Erik Prince
Saihajpreet Singh
Eric Schmidt
Peiter Zatko (“Mudge”)
Gunther Eagleman (@ GuntherEagleman)
Adelson Clinic for Drug Abuse Treatment & Research
America PAC
American Action Forum
American Action Network
Anduril Industries
Aqua Waterfront LLC
Arabella Advisors
Archimedia
Atlantic Council – DFR Lab
Black Rock Group LLC
Bloomberg LP
Boeing Co.
Botlab
Bulldog Compliance
Carpenters & Joiners Union
Cavalry LLC
Cellebrite
Cicero Institute
Citadel LLC
Clearview AI
Coinbase
Collie Paw Holding LLC
Congressional Leadership Fund
Daily Wire
Defend American Jobs (PAC)
Department of Defense (DoD)
Department of Homeland Security (DHS)
Echo Canyon Consulting LLC
Elbit Systems Ltd.
Elliott Management Corp.
Emerson Collective
Fairshake PAC
Fidelity Charitable
Finance Strategies Group LLC
Founders Fund
Fox Corporation
FP1 Strategies LLC
Fund for Policy Reform
Gilead Sciences
Grok (xAI sub-product)
Harvard Shorenstein Center / Digital Safety Kit
House Majority Forward
House Majority PAC
Indiana University OSoMe
Jump Crypto
Jump Trading LLC
Koch Industries
LinkedIn (Microsoft)
Lockheed Martin
MAGA Inc.
Make America Great Again Inc.
Make America Great Again, Again! Inc.
Marble Freedom Trust
Maryland’s Future PAC
Media Services Inc.
Mentzer Media LLC
Merck & Co.
Midland Energy Inc.
Moderna Inc.
Network Contagion Research Institute (NCRI)
New Venture Fund
Northrop Grumman
Notre Dame Research Group (on platform safety)
One Nation
OSoMe (Observatory on Social Media)
Palantir Technologies
Patriot Grassroots LLC
Paul, Weiss, Rifkind, Wharton & Garrison LLP
PayPal
PayPal Mafia (network)
Penske Corporation
Pfizer Inc.
Preserve America PAC
Protect Progress PAC
Pulte LLC
QCRI (Qatar Computing Research Institute)
Qatar Foundation
RBG PAC
REVV Payments Platform
Raytheon Technologies
Reyes Holdings
Ricketts Family Enterprises
Ripple Labs
Rumble Inc.
Salem Media Group
Sandhills Global
Saudi Aramco
Schwab Charitable
Senate Leadership Fund
Simons Foundation
Sinclair Broadcast Group
Sixteen Thirty Fund
SpaceX
Standard Industries
Stanford Internet Observatory
Targeted Victory LLC
TPUSA (Turning Point USA)
TRUST PORTFOLIOS LP
Turnout for America
Uline Inc.
United Democracy Project (AIPAC)
University of Austin
US-UAE Business Council
Voice for New York / VoteVets / Vote Alaska Before Party PACs
Walton Family Foundation
WPA Intelligence
X (formerly Twitter)
xAI
William Kory Amyx
Jonathan Albright
Caroline Orr Bueno
Renée DiResta
Emilio Ferrara
Philip N. Howard
Darren Linvill
Patrick Warren
Kate Starbird
Claire Wardle
Lynnette Ng
Joel Finkelstein (NCRI)
Alex Goldenberg (NCRI)
Imran Ahmed (CCDH)
Filippo Menczer (OSoMe)
Laura Edelson (NYU Cybersecurity for Democracy)
Damon McCoy (NYU Cybersecurity for Democracy)
Emerson T. Brooking (DFRLab)
Ben Nimmo (DFRLab)
Read 4 tweets
Oct 20
Trump keeps saying he deserves the Nobel Peace Prize because he “ended wars.”

He’s bragged he “stopped six,” sometimes “seven,” even “ten if you count the pre-wars.”

So let’s actually see which “wars” he thinks he ended — and what those countries’ leaders said about it.
🇮🇳🇵🇰 India & Pakistan
Trump claimed he stopped a full-blown war over Kashmir through “trade talks and tough love.”
Reality: India’s PM Modi flatly denied it.

“At no point was mediation or trade discussed.”

Translation: Trump invented peace that never existed.
🇰🇭🇹🇭 Cambodia & Thailand
Minor border clash in 2024.
Trump called it “a war.”

Cambodia’s deputy PM gave him a polite golf clap:
“We are grateful for President Trump’s help … the cease-fire remains fragile.”

Even Thailand’s FM said “fragile” twice.

A thank-you note, not a treaty.
Read 11 tweets
Oct 9
HISTORY OF BOTS: A FORENSIC TIMELINE (2014–2025)

Over the last decade, fake accounts didn’t just post — they evolved.

What started as “RT if you agree” became full-blown digital warfare.

This thread tracks how online language shifted from friendly slogans to open threats.

All data shown here comes from verified public posts. No theories. Just proof, numbers, and patterns.
#HistoryOfBotsImage
EARLY COORDINATION (PJNET, 2014)
The first organized pattern shows up in 2014.
Same phrases. Same timing. Same hashtags: #PJNET, #tcot, #ccot.

It looked like grassroots talk — but it was copy-paste coordination.

“RT if you agree” was the first bot anthem. #HistoryOfBotsImage
THE ZERO POINT
We measured 42 early posts.
81% used “agree” or “retweet.” 0% used conflict words like “fight” or “take.”

That’s our baseline — Escalation Index: 0.0. Everything after this gets louder. #HistoryOfBotsImage
Read 24 tweets

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