Jason Lewris Profile picture
Nov 14 10 tweets 4 min read Read on X
I’ve spent half a decade studying how adversarial foreign governments, including China, Russia and Iran quietly acquire U.S. land, homes, and strategic properties.

I’ve recently been to the Capitol - meeting with members of Congress and the Senate - about how they’re thinking about this threat.

What I heard alarmed me.

Today, I’m going to explain why DC is missing the scale of this problem, why the public is only getting fragments of the truth, and what the real landscape looks like.

A 🧵
This morning, news broke that China secretly purchased a trailer park that shares a fence line with the base housing one of America’s bomber fleets.

On July 8, USDA rolled out a farmland monitoring initiative.

I shared my concerns then about why this approach fundamentally misses the threat.
The core flaw: trailer parks don’t fall under USDA jurisdiction.

But the real problem is even larger - trailer parks and farmland aren’t where the bulk of activity is happening.

The scale is in residential housing, where adversarial foreign governments operate with almost no oversight and enormous data blind spots.

This visual captures a more accurate picture of the current state.Image
China, Russia, Iran, and North Korea have all established advanced networks of property scouts inside the U.S.

These scouts pre-purchase homes and land years before the properties officially transfer into government-linked ownership.

They often use the same scouts, the same brokers, the same transactional patterns—if you know where to look.

Here’s one small network mapped across transactions spanning decades.

And the outcomes are not theoretical.Image
Here’s just one of tens of thousands of properties owned today by adversarial foreign governments - located next to Luke Air Force Base.

But this location is not isolated.

It’s connected through the same acquisition network to properties near Nashua County, New Hampshire - home to major U.S. defense and aerospace R&D hubs.

These networks are not random.

They are strategically coordinated.Image
They also own properties adjacent to @elonmusk and @SpaceX research centers - locations with direct implications for national defense and launch capabilities.
They own high-visibility parcels sitting directly on flight paths coming off Eglin Air Force Base - one of the most important test and evaluation facilities in the U.S.
So what is Washington doing?

Politics.

This has devolved into a performative fight - an issue to posture on rather than solve.

Meanwhile, China, Russia, and Iran continue acquiring U.S. homes, mobile homes, and land.

Some share borders with Lawrence Livermore National Laboratory - the epicenter of American nuclear research.
Hearings won’t fix this. Only visibility will.

@ParclLabs is mapping what no federal agency can currently see.

And that blind spot is exactly where adversarial governments thrive.

America can’t defend what it can’t see.

Right now, we’re flying blind.

app.parcllabs.com/tools/us-risk-…
@elonmusk @SpaceX @nikitabier is there a button I can press that marks this as what I believe is a pretty significant security issue?

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More from @jasonlewris

Jul 9
I've been studying how Russian, Chinese and Iranian governments buy American land and residential housing for half a decade.

I'm going to break down why the USDA is grossly unprepared for this renewed effort with their announcement today on "National Farm Security Action Plan" and why this won't work.

I'm going to share cases of property next to nuclear research facilities, sophisticated networks and strategies used, and how we can actually address this problem.

Let's begin.Image
@SecRollins announced today alongside @SecDef, @AGPamBondi and @Sec_Noem a National Farm Security Action Plan

They shared the map at the bottom.

The map at the top is the actual state of affairs.

So why the difference and why are they unprepared for this task? Image
Read 9 tweets
May 13, 2024
I decided to look at the top 100 housing markets in the country in a multi-dimensional space using hundreds of housing stats from @ParclLabs data.

The machines found some very interesting patterns.

Let's dig in. Image
Why did I do this? Because housing is substantially more complex than can be interpreted in excel or a line graph.

So what did I do? I aggregated 100's of indicators about housing markets and put the machines to work.
I was interested in YoY performance across several dimensions:

Sales Counts
Listing Counts
Rental Counts
Sales Prices
Listing Prices
Rental Prices
Investor Acquisitions
Investor Dispositions
Investor Ownership Ratios
Condo Growth
Townhome Growth
SFH Growth

To name a few...
Read 11 tweets

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