Politics & activism — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 77% 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 1 other registered channel. They sit inside a group of 8 channels that share the same post bodies with each other. 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 (1 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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 22 comparable posts for this entry, running 31 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 8, the earliest publisher we hold is @MartialLawAlerts. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, 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 7 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.
8 measurements spanning 7 days, net -43. 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 10,000–10,055 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 22:48
10,006
-6
11 Aug 2026, 23:22
10,012
-6
11 Aug 2026, 00:01
10,018
-13
9 Aug 2026, 22:12
10,031
-12
8 Aug 2026, 18:56
10,043
-1
7 Aug 2026, 18:23
10,044
-5
6 Aug 2026, 10:16
10,049
no change
6 Aug 2026, 09:42
10,049
first reading
Engagement
33 posts held, back to 31 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 15 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.06%
avg views ÷ 10,006 subscribers
Avg views / post
206
33 posts measured
Reaction rate
2.11%
reactions ÷ views · ER floor
Posts in window
33
of 33 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. It is computed over the 23 of 33 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
33 (31 July 2026 – 12 August 2026)
Views total
6,791
Reactions total
104
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 14:33 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
1h 28m
Average length
4m 26s
Measured directly from 20 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.
Reaction mix
104 reactions across 23 posts, in 8 distinct kinds. The most used accounts for 29.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
31
29.8%
👍
25
24.0%
💯
15
14.4%
🔥
10
9.62%
👏
9
8.65%
❤🔥
6
5.77%
🤯
5
4.81%
🤔
3
2.88%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 23 of the 33 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 104reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 31 July 2026 to 12 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
This is what Hollywood does to those who sell their soul…
Wake up people…
We are in a spiritual war!
👇PRESIDENT TRUMP'S DIRECT CHANNEL!
https://t.me/MartialLawAlerts ✅️
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final letters are being released through this channel only
https://t.me/The17thLetter✳️
https://t.me/The17thLetter✳️
A noncitizen on an expired visa was able to get her nursing license approved in Maine
- The woman entered our country on May 14, 2024
- The visa was set to expire on November 13, 2024
- She failed to deport before this date, now in violation of our immigration laws
- She was still working as a nurse on an expired visa
How was a noncitizen on an expired visa working as a nurse…
She had a pending asylum application …
IT'S THAT SIMPLE -BIG PHARMA TOOK YOU FOR A RIDE A DEADLY AND EXPENSIVE RIDE!
THE Q AWAKENING..
👇PRESIDENT TRUMP'S DIRECT CHANNEL!
https://t.me/MartialLawAlerts ✅️
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final letters are being released through this channel only
https://t.me/The17thLetter✳️
https://t.me/The17thLetter✳️
Here it is:
The single largest disinformation campaign in United States history.
“Intelligence agencies IC, President Barack Obama, and the Vice President acknowledging the threat would help push the story.”
The damning email inside the John Durham annex, uncovered by FBI Director Kash Patel, CONFIRMS that George Soros knew and conspired with Hillary Clinton and the intelligence community to overthrow the United S…
REMEMBER WHEN Q SAID, “THOSE YOU ARE TAUGHT TO TRUST THE MOST”.
EVER WONDERED WHY THE CATHOLIC CHURCH RUSHED TO CANONISE MOTHER TERESA AFTER HER DEATH?
SHE WAS A CHILD TRAFFICKER AND FUNNELLED BETWEEN $50-100 MILLION A YEAR TO THE VATICAN ELITE.
MOTHER TERESA’S CONNECTIONS INCLUDED:
HAITIAN DICTATOR, BABY DOC DUVALIER
SAVING’S AND LOAN CRIMINAL, CHARLES KEATING
ROBERT MAXWELL, THE FATHER OF JEFFREY EPSTEIN’S CHIL…
SOON EVERY CELL PHONE ON THE PLANET WILL BE HIT WITH SEVEN TRUMPET SOUNDS TRANSMITTED FROM THE STARLINK SATELLITES, BYPASSING THE ELITE CONTROLLED MEDIA CHANNELS.
THE ALLIANCE HAS SPENT YEARS PREPARING FOR THIS ANNOUNCEMENT, QUIETLY BUILDING A NETWORK OF SATELLITES AND SECURE COMMUNICATION LINES.
OVER IT PRESIDENT TRUMP WILL GIVE SEVEN MESSAGES TO THE WORLD ABOUT A NEW ERA OF FREEDOM ABOUT TO BEGIN.
🚨BREAKING: JFK…
🔥🚨 LATEST: Coca-Cola is facing backlash after its website allowed customers to put 'Allah Is King' and 'Satan Is King' on personalized cans but typed 'Jesus Is King' and got an instant rejection: 'The name or phrase you've submitted is not permitted.' Conservative commentator Isabel Brown and influencer Ryan Haff both caught it on camera.
Coca-Cola quietly updated the filter after the backlash went viral but has sti…
Hey Adriana, Britney, Katy, Beyonce,and Madonna, care to explain what’s happening here?
Actually don’t worry about it - the whole World is quickly realising on their own!
Wake up people...
We are in a spiritual war!
👇PRESIDENT TRUMP'S DIRECT CHANNEL!
https://t.me/MartialLawAlerts ✅️
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final letters are being released th…
Ariana Grande Confesses: "Leonardo DiCaprio Forced Me to Eat Children – Now I Have Kuru"
Ariana Grande has admitted she is "dying of kuru." In a harrowing conversation with Alicia Silverstone, Ariana named her killer - Leonardo DiCaprio, Hollywood's most protected predator and, according to Grande, a "kuru superspreader."
Grande claims she was tricked into eating child meat and drinking adrenochrome under the guise…
Our food is changing and it’s getting worse
This is a bag of Knorr Teriyaki Noodles, they’re sold at Walmart, Target and many grocery stores
One bag is the new recipe they just released, one bag is the previous recipe
They have GREATLY increased the number of ingredients, added more artificial ingredients and “contains bioengineered food ingredients”
What’s even the point of the FDA is companies can reformulate …
This is really strange…
👇PRESIDENT TRUMP'S DIRECT CHANNEL!
https://t.me/MartialLawAlerts ✅️
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final letters are being released through this channel only
https://t.me/The17thLetter✳️
https://t.me/The17thLetter✳️
🚨 BOOM! House Republicans are now moving toward EXPELLING Ilhan Omar from Congress
REP. BYRON DONALDS: “If Ilhan Omar is not a naturalized citizen, she is ineligible to serve in Congress.”
“If Ilhan Omar is ineligible to serve in Congress, she must be removed from Congress. It's that simple.”
“Noncitizens have no business serving as elected representatives in our federal government.” 🔥💯
🚨BREAKING: JFK IS ALIVE AN…
❤🔥6👏3👍2💯1
Showing the 12 most recent of 33 posts we hold for @JFKRed_Q. 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.
Citation-graph rank
Citation-graph rank — 1,025,380 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@JFKRed_Q named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@antarcticahiddentech named in 7 posts, 8 August 2026 – 11 August 2026
@freeenergyrevealed named in 7 posts, 8 August 2026 – 11 August 2026
@zeropointdisclosure named in 7 posts, 8 August 2026 – 11 August 2026
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.
“JFK RED” (@JFKRed_Q), 10,006 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/JFKRed_Q.
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.