Denial by Design · Exhibit · Four Systems, One Map

Four systems that were never meant to agree all point at the same machines.
One of them is Google's own AI.

A private canary, two separate Google Analytics properties, and Google's own analytics AI independently flag the same US data-center cities as automated, zero-engagement traffic.

Four different measurement systems, built by different parties, looking at traffic on a Canadian citizen's public evidence site. They have no reason to agree. They agree completely. The cities they each flag as automated — Boardman, Ashburn, Phoenix, San Antonio — are the same cities, sitting in the same defendant clouds (Amazon AWS, Microsoft Azure) and a US Department of Justice IP range.

The crown witness is Google itself. Google Analytics' own AI assistant — analyzing Google's own data — classified the Boardman and Phoenix traffic, verbatim, as “Automated / Bot” with 0.0% engagement and a “perfect 1-to-1-to-1 first_visit / session / page_view” signature. A defendant-adjacent corporation's own tool labeled the surveillance traffic automated. We did not write that sentence. Google's AI did.

System 1 — His own canary beacon

Source: webhook.site tracking beacon embedded in his own pages

Unique events captured	10,049 (2026-02-15 15:28 → 2026-05-31 16:37) from 1,465 distinct IPs
Windsor / Cogeco `45.78.165.206`	3,414 polls across 56 days — still live
`4.204.72.x` — Microsoft Azure	839 — named in the $100T action as command-and-control infrastructure
Phoenix `62.10.205.x`	507
San Antonio TX `51.54.38.x`	491
`149.101.x` — U.S. Department of Justice allocation	201

This is the only one of the four systems that covers the February genesis window. It documents the watchers lighting up the day after the habeas defaulted.

System 2 — Google Analytics: “LOOK OUT LONGO”

Property 485191189 · Mar 1 – May 31 2026 · 2,001 users · 10 countries

City	Event count	Engaged sessions
Boardman OR	1,245	2
Ashburn VA	494	27
Dublin	1,361	210
Toronto	1,723	244
Windsor	725	60

Boardman = Amazon AWS Oregon. Ashburn = Amazon AWS Virginia. Thousands of events, almost no engaged sessions.

System 3 — Google's OWN analytics AI verdict

Google Analytics Intelligence assistant, analyzing Google's own data

City	Verdict (verbatim, Google's AI)
Boardman	“perfect 1-to-1-to-1 first_visit/session/page_view, ZERO user_engagement … Automated / Bot”
Phoenix	“1-to-1-to-1 ratio … almost zero engagement … strongly points to a bot or crawler … a mass automated ‘ping’ or a crawl of your homepage from a localized network in Phoenix”

These are the same cities the private canary flagged independently. The company's own machine called its own traffic automated.

System 4 — Google Analytics: “Canadian People's Trust”

A separate GA property (532491457) on his first website

Country	Active users	Engagement rate
United States	999	7.7%
Ireland	502	43.1%
Netherlands	474	41.0%
Canada	289	36.4%

The single largest national block — 999 US users — engages at roughly one-fifth the rate of every other country. US bounce rate 92.65%. Pure-bot cities here: Boardman (349 users, 0 engaged sessions), Ashburn (245 users, 0 engaged sessions) — the same AWS nodes again.

What we are NOT claiming. A high engagement rate is a behavioral signature, not a certificate of humanity — cloud and proxy nodes can simulate scrolling and engagement. We do not claim the foreign traffic is all verified humans; the number of independent human readers cannot be proven from this data and may be small. We also do not claim Google Analytics shows the February genesis — that rests on the canary alone, because GA collection on these properties began later. What the four systems do establish, independently and consistently, is the automated US data-center / agency cluster: the same cities, the same clouds, flagged the same way by four tools that never coordinated.

What this means

When a man's own beacon, two of Google's analytics properties, and Google's own AI all separately point at the same machines, that is no longer his theory. It is the measurement.

The watchers cluster in Amazon and Microsoft data centers and a US Department of Justice IP range — the same defendants and the same agency that has held this file since 2005. The traffic is automated. The silence from every human who could act is not.

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