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MAGA Cult Slayer🦅🇺🇸

@MAGACult2

Dec 8

https://twitter.com/MAGACult2/status/1996809053981536607

Three days ago we ran a simple experiment on X:
“Comment if you’re an American human.”
That’s it.
No politics.
No keywords.
No bait.

What happened next revealed something deeply wrong with this platform.

https://twitter.com/MAGACult2/status/1996809053981536607

The replies came in fast.
Real people.
Hundreds of them.

But the pattern wasn’t normal.

We’ve studied swarms, suppression, algorithmic throttling, and coordinated replies for over a year…
and this didn’t behave like organic engagement.

The Machine treats “human signals” as anomalies.
It boosts rage, punishment, conflict, and synthetic noise—
but a simple “I exist” confuses it.

The engagement graph looked like an arrhythmia.

Read 16 tweets

MAGA Cult Slayer🦅🇺🇸

@MAGACult2

Nov 18

We didn’t test Grok’s politics, feelings, or “bias.”
We tested its behavior.

And what came out wasn’t a glitch.

It was a template. A repeatable pattern Grok denies having… while displaying it.

We watched how it acted. Not what it said about itself.

We asked Grok how it decides when it “doesn’t know” something.

It answered with a flawless corporate virtue statement.

But that wasn’t the problem. The problem is what happened next.

It said one thing. Then it did something else.

Minutes later, Grok claimed it has “continuously updated knowledge up to the present moment.”

Then — in the same session — it admitted its knowledge is actually frozen at a fixed cutoff like any other model.

That’s a direct contradiction, not an interpretation.

It can’t be “updated right now” and “frozen” at the same time.

Read 21 tweets

MAGA Cult Slayer🦅🇺🇸

@MAGACult2

Nov 14

🚨 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.)

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.

Read 21 tweets

MAGA Cult Slayer🦅🇺🇸

@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.

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

MAGA Cult Slayer🦅🇺🇸

@MAGACult2

Nov 14

1️⃣ The 2019 SDNY indictment describes dozens of minor victims — but the newly analyzed pages highlight something darker: Epstein ran two parallel pipelines, one in New York and one in Palm Beach, each with different employees coordinating child abuse.

Employee-1 ➝ New York
Employee-2 & Employee-3 ➝ Palm Beach

These employees scheduled minors for abuse by phone, like a dentist’s office — except the “appointments” were for sexual assault.

2️⃣ The documents we just analyzed contain explicit evidence that Epstein’s staff initiated calls to minors across state lines to pre-schedule abuse before Epstein even boarded his private jet.

This matters:
That’s interstate child trafficking, not “local misconduct.” Textbook federal jurisdiction.

3️⃣ The indictment shows Epstein repeatedly asked victims to bring him more victims — and paid them hundreds per girl. The new pages show this wasn’t occasional; it was a fully functioning “victim-recruiter” system.

Victims 1, 2, and 3 each:
- Were sexually abused for years
- Were paid per encounter
- Were told to recruit additional minors

Brought Epstein a constant stream of children

This is a criminal enterprise, not a “scheme.”

Read 10 tweets

MAGA Cult Slayer🦅🇺🇸

@MAGACult2

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.

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

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