Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 1 of the 16 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 26 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 3, the earliest publisher we hold is @TrueWikiLeaks. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 4 days, net -12. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,097–3,113 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 03:05
3,099
-7
8 Aug 2026, 18:45
3,106
-5
7 Aug 2026, 20:02
3,111
no change
7 Aug 2026, 19:06
3,111
first reading
Engagement
20 posts held, back to 26 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
14.1%
avg views ÷ 3,099 subscribers
Avg views / post
438
20 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
20
of 20 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
20 (26 July 2026 – 7 August 2026)
Views total
8,762
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 20:02 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
1m 29s
Average length
45s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
🚨FINAL ORDER
SUSPICIOUS ACTIVITY CONFIRMED.
BOT INVASION DETECTED.
Every unverified account will be:
• PERMANENTLY REMOVED from this channel
• ACCOUNT SUSPENDED
• DELETED FROM TELEGRAM
You have 24 HOURS ONLY.
Complete the identity check NOW by joining the verified channel:
➡️ IDENTITY CHECK
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After the deadline → automatic wipe.
No warnings left.
No mercy.
No recovery.
Real …
🔺 THE “GREAT WALL OF CHINA” WAS NOT BUILT BY CHINA. IT WAS BUILT AGAINST CHINA.
Look at the gun ports. Look at the arrow slits. Look at the defensive positions.
They all face SOUTH. Toward the Chinese interior.
If China built this wall to defend against northern “barbarians,” the weapons would face NORTH. Every military fortification in human history has its defensive openings facing the enemy.
This wall was built…
🔺 THERE IS A COMPLETE CITY BENEATH YOUR FEET RIGHT NOW.
Every major capital in the world has a “subway system” or “underground tunnels.” They tell you these were dug for transportation. They were not dug. They were discovered.
Paris. London. Moscow. New York. Istanbul. Rome.
Beneath every one of these cities lies a complete, intact Tartarian metropolis — with domed palaces, cobblestone streets, and infrastructure t…
ℹ️ YOUR ENTIRE LIFE IS ONE CLICK AWAY FROM BEING DESTROYED.
🤍 Deepfakes. Voice clones. Stolen identity. Financial ruin.
It’s not “if” — it’s “when”.
✅ IDENTlTY СНЕСК is the ONLY channel that fights back.
If you don’t join in the next 60 seconds, you’re choosing to be a victim.
Don’t say we didn’t warn you.
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Your thoughts don’t create your reality…
Your brain state does.
Scientists uncovered a rare wave — The Genius Wave — that aligns your mind with opportunity, luck, and clarity.
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THE STAR FORTS DON’T MAKE SENSE.
Swipe through these satellite images. Look carefully.
These are called “star forts.” There are over 1,000 of them scattered across EVERY continent on Earth. Europe. Asia. North America. South America. Africa. Everywhere.
And they all look IDENTICAL.
Same geometric star pattern. Same precise angles. Same mathematical proportions. Same construction techniques. On every continent. In e…
🔴 LAST WARNING.🔴
Telegram is full of professional identity thieves.
They are watching you right now.
✉️ IDENTlTY СНЕСК is the only channel that catches them before they catch you.
Ignore this message = accept your fate.
Join immediately.
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Columbia, Missouri. Built a tower like this in the 1920s? What’s the reason?
There is no reason.
This site was renovated and scaled down in the 1920s.
In their fake history and timeline, “built” simply means founded, renovated, and retrofitted.
Previous civilization structure.
@TartariaEmpireHistory
What if luck wasn’t random?
Scientists studying brain patterns discovered a frequency linked to intuition, rapid problem-solving, and “perfect timing.”
It shows up during moments of genius — and they now call it The Genius Wave.
Until recently, it activated by accident.
Now there’s a simple 7-second method that triggers it on demand.
When it’s active, life feels smoother.
Opportunities appear.
Things just… click.
I…
Buffalo "World’s Fair" of 1901.
If you were to see this today, it would be the best thing that has been built in a long time. There would not be anyone who would not stand in awe of it. It would be a divine experience.
Now imagine believing this was done by people living in a society like the one of the late 19th century.
One look is enough to see the lie.
@TartariaEmpireHistory
🚨 EVERYONE IS JOINING IDENTlTY СНЕСК EXCEPT YOU.
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Don’t be the idiot who finds out too late.
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Look at this palace. The Birmingham "Council House", UK.
Official history claims it was built between 1874 and 1879, roughly five years.
It makes zero sense that they achieved this with the tools and means they claim existed at the time.
This is a Tartarian hall. It carries the same functional characteristics we see everywhere. The official construction story is just the cover up.
@TartariaEmpireHistory
Showing the 12 most recent of 20 posts we hold for @TartariaEmpireHistory. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Tartaria Empire” (@TartariaEmpireHistory), 3,099 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/TartariaEmpireHistory.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.