Ref sch

🇺🇸🇺🇸🇺🇸No DMs (instant block) or porn stars, not interested. 🇺🇸🇺🇸🇺🇸Former AML compliance officer. MAGA. Here for news. No Amnesty!

[Nick Plumb @PlumbNick]

Pretty interesting story on the Fannie Mae firings, especially given the subject of my video below is a long time Fannie Mae employee, who owns a non-profit business that he is alleged to use for nefarious purposes.

As it was explained to me by this whistleblower, these employees leverage charitable contribution matching to non-profits they control and then direct those non-profits to serve their needs.

This is pure jugaad maxing.

Watch this interview to see how exactly how these funds allegedly financed - it’s actually pretty shocking.

[On Shoring America @J_Vito_B]

ALUR™ — 5.5 million labor equivalents.
Displaced. Substituted. Replaced.

Not offshore. Not visa holders. Not Green Cards.

Machines. Algorithms. AI systems.
And that's just the 2026 estimate!

SHOW U.S. THE DATA!

ALUR™ fixes that.

The AI Labor Utilization Ratio is a single, standardized score that tells you exactly what percentage of any company's total workforce has been substituted or displaced by artificial intelligence, automation, and related technologies.

Company X: ALUR™ of 23%
Company Y: ALUR™ of 4%

Now you know.

Here's what makes ALUR™ unlike every other ratio in this framework:

Every other category has a human face.

Offshore workers. Green Card holders. Visa workers. Humanitarian workers. Foreign students.

They are people. They can be counted. They file taxes. They appear in payroll records.

AI doesn't.

Right now, there are zero standardized public figures on:
❌ How many full-time equivalent positions have been displaced by AI at any given company
❌ Which industries are substituting American workers with automation fastest
❌ What percentage of any company's total headcount equivalent is now AI-driven
❌ How that substitution is accelerating year over year

And here's what makes this category different from every other in this framework:

In 2026 — AI & Automation represents ~16% of total labor substitution.

That number is already larger than Humanitarian workers, Visa workers, and Foreign Students combined.

And it's just getting started.

These are not literal headcount figures.

These are labor equivalents — full-time position equivalents displaced or substituted by AI, RPA, and automation systems.

Derived from Goldman Sachs, McKinsey, and Forrester projections scaled to early 2026 adoption levels.

The methodology is transparent. The math is conservative. The trajectory is not.

Before we debate whether any of this is good or bad — shouldn't we at least know how much?

SHOW U.S. THE DATA.
That's OnShoring America's Phase 1. Transparency.

ALUR™ is the sixth of six supporting ratios that feed directly into the master score:
UCLR™ — U.S. Citizen Labor Ratio

The single number that answers the question every American worker deserves to know:
What percentage of this company's workforce is made up of ready-and-able U.S. Citizens?

Six ratios. One master score. Complete transparency.
OLUR™ → Offshore contractors ✅ posted
GLUR™ → Green Card holders ✅ posted
HLUR™ → Humanitarian / EAD
VLUR™ → Visa workers
SLUR™ → Foreign students
ALUR™ → AI & Automation ← You are here
UCLR™ → The Master Score

Every ratio feeds UCLR™. Every post in this series builds the case.

ALUR™ is tied to NAICS 518219 — Workforce Automation and AI Substitution Services — one of three classification proposals already formally submitted to and received by the U.S. Census Bureau's ECPC.

One Executive Order from @realDonaldTrump directing Census and OMB to adopt these NAICS codes — and this becomes mandatory, standardized, and public for every major corporation in America.

American workers deserve the truth. A single standardized dataset currently does not exist.

I've built it.

Read all OnShoringAmerica framework white papers from: https://t.co/WMBAV0Npqt
🇺🇸 OnShoringAmerica #LaborTransparency #ALUR #AIDisplacement #AmericanWorkers #UCLR #OnShoringAmerica #ShowUSTheData

[Ref sch @Refsch]

@Bubblebathgirl That will cost a fortune to enact as well.

[Ryan Nichols Sr. @RealRyanNichols]

Never-before-seen J6 bodycam footage.

MPD Officer Michael Dowling.

Lower West Terrace tunnel.

January 6, 2021.

On his own body-worn camera, officers can be heard talking about a flagpole like it was a weapon.

You hear them say it.

You hear the laughter.

You hear the bragging.

You hear the “you put in work” energy.

You hear the kind of conversation America was never supposed to hear.

And here is the part people need to understand:

I found this in my own evidence.

Not because the media showed it.

Not because the government volunteered it.

Not because anyone handed it to me.

I found it by digging through the discovery they buried me in, piece by piece, file by file, from notes I first started making while I was locked in a D.C. jail cell with a pencil and a piece of paper.

That is why they do not want J6 defendants online.

That is why they do not want us organizing evidence.

That is why they do not want us building databases.

That is why they do not want us publishing.

Because when we can search, clip, compare, name, date, and preserve the record, the story starts changing.

This is one tape.

There is more coming.

Names.

Dates.

Footage.

Documents.

The tape is the tape.

Watch it for yourself.

Then ask why America had to wait this long to hear it.

Read the full story: https://t.co/VX7jDajl0y

[Ref sch @Refsch]

@JessicaV_CIS @CIS_org They actually should be completely blocked from any green card or future visa of any type. Out. Never come back.

[The White House @WhiteHouse]

NO MORE GAMES. Pass the SAVE America Act without delay!

[Ref sch @Refsch]

@RandPaul Does that include Mekowski, Collins, Turtle man and Tilly?

[Ref sch @Refsch]

@SenMcConnell Yet you are an ungrateful person who won’t support voting security even though you have supported it in the past… spite is not becoming.

[Ref sch @Refsch]

@russvought Why was it not before? How can a three year temporary visa holder get a mortgage? It does not make sense at all!

[Ref sch @Refsch]

@ScottPresler Traitors all.

[Ref sch @Refsch]

@PeteHegseth @leti19285 @RobertKennedyJr @elonmusk RFK dropped because the snake story was positive..

[Pete Hegseth @PeteHegseth]

In case you wonder what we — and President Trump — are up against.

100% NEGATIVE coverage from so-call “mainstream” press in the first 100 days. PERFECT SCORE.

(Come on @RobertKennedyJr & @elonmusk , you guys can do better!)

[Congressman Jeff Van Drew @Congressman_JVD]

Families across New Jersey are wondering how they’re going to pay their electric bill this summer.

Meanwhile, our Governor is increasing funding to spend $20.2 million to protect illegal immigrants.

Start fighting for New Jersey citizens.

[Ref sch @Refsch]

@catturd2 @Pismo_B Who gets the $200!

[The SCIF @TheSCIF]

The entire ICA of Obama and Hillary Clinton's plan to frame Trump with Russia collusion, with John Brennan's CIA doing the dirty work.

DNI Gabbard dropped the proof, the entire IC report. Obama committed TREASON and his minions should go down with him.

[Art @ZarkFiles]

Why would anyone trust California to not screw up an election? Here is just one tiny example:

In 2024, California's District 28 (Glendale, Burbank, Pasadena) added 60,376 voter registrations during a 5-day window of active vote counting. Their registration dates spanned over 100 years — back to 1900 — distributed in a curve so statistically natural it was either algorithmically generated or represented the first documented case of time travel.

No legitimate batch of late-processed registrations looks like a century of organic growth. The dates are false, and false registration dates invalidate the records.

Still, the election continued as if nothing was wrong.

Fraudulent infrastructure does not become acceptable because fraud is difficult to prove at the ballot level. When the underlying records are demonstrably corrupted, the burden should fall on the system to prove legitimacy — not on observers to prove fraud.

And the infrastructure is corrupted everywhere it has been examined. Across 12 states — every state in my sample — voter rolls show algorithmic anomalies: fabricated records, hidden classification systems, clone registrations, and impossible data patterns.

The problems vary in kind and scale, but not in presence. A 100% sample rate is not a coincidence. It is a baseline.

Elections should not be certified on top of a foundation this compromised. Fix the infrastructure first. Then hold the election.

[Green Beret Nap Time @GBNT1952]

The list is staggering on its own, but this is the most important part 👇

Islamist terrorist attacks worldwide from 1979–April 2024: 66,872 attacks

By period:

1979–2000: 2,194 attacks
2001–2012: 8,265 attacks
2013–April 2024: 56,413 attacks

Total Deaths: at least 249,941

And these mortality numbers are on the low end because they only count deaths from actual attacks, not from the genocide and mass killings that happen once Islamists are in power.

The real number is in the millions.

Yes, this is reality… in less than five decades, Islamic power has resulted in millions of horrific, innocent deaths.

And we thought communism was bad…

[Ref sch @Refsch]

@kate_p45 @HawleyMO Time to get rid of them all. It may take a while but we will dump them all.

[Ref sch @Refsch]

@GovSherrillNJ Citizens and taxpayers would love it if your just left Delaney alone, and let them be deported. We don’t want to pay for them. We do not want to pay to defend them. They are criminals and could leave easily using an app.

[On Shoring America @J_Vito_B]

~12.3 million workers. Serving U.S. companies located outside U.S. borders.
No federal agency tracks it by company. No industry publishes it. No earnings report discloses it.

That's ~36% of all labor substitution in the U.S. economy — completely invisible.

OLUR™ fixes that.

The Offshore Labor Utilization Ratio is a single, standardized score that tells you exactly how much any company, industry sector, state, or industry relies on offshore labor as a percentage of its total workforce.

- Company X: OLUR™ of 67%
- Company Y: OLUR™ of 12%
Now you know.

Before we debate whether offshoring is good or bad — shouldn't we at least know how much and where?

That's Phase 1. Transparency!

OLUR™ is tied to NAICS 561399 — one of three classification proposals already formally submitted to and received by the U.S. Census Bureau's ECPC.

One Executive Order from @realDonaldTrump directing Census and OMB to adopt these NAICS codes — and this becomes mandatory, standardized, and public for every major corporation in America!

American CITIZEN workers deserve the truth. A single standardized dataset currently does not exist.

I've built it.

Read all OnShoringAmerics framework white papers from: https://t.co/WMBAV0Npqt

🇺🇸 OnShoringAmerica