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 69% 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. 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. 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 33 comparable posts for this entry, running 1 August 2026 to 8 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 2, the earliest publisher we hold is @AssangeSecrets — which is this entry. 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.
Growth
35 measurements spanning 43 days, net -638. 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 23,160–23,990 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 19:41
23,256
-27
16 Sept 2026, 14:40
23,283
-25
14 Sept 2026, 21:22
23,308
-6
13 Sept 2026, 09:20
23,314
-34
11 Sept 2026, 09:37
23,348
-41
8 Sept 2026, 15:15
23,389
-45
5 Sept 2026, 10:41
23,434
-23
3 Sept 2026, 12:40
23,457
-15
2 Sept 2026, 03:56
23,472
-13
1 Sept 2026, 04:38
23,485
-17
31 Aug 2026, 02:48
23,502
-20
30 Aug 2026, 02:49
23,522
-19
29 Aug 2026, 02:06
23,541
-15
28 Aug 2026, 00:45
23,556
-18
26 Aug 2026, 23:29
23,574
-14
26 Aug 2026, 01:55
23,588
-17
25 Aug 2026, 04:44
23,605
-15
23 Aug 2026, 23:37
23,620
-19
22 Aug 2026, 06:37
23,639
-12
20 Aug 2026, 21:15
23,651
first reading
Engagement
256 posts held, back to 1 August 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.07%
avg views ÷ 23,256 subscribers
Avg views / post
715
73 posts measured
Reaction rate
3.85%
reactions ÷ views · ER floor
Posts in window
73
of 256 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 27 September 2026
Posts held
256 (1 August 2026 – 27 September 2026)
Views total
52,192
Reactions total
2,012
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 01:26 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
Photos
64
Videos
877
Links
974
Lifetime counters from Telegram’s own channel header, read 27 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
7h 44m
Average length
2m 02s
Measured directly from 229 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
8,874 reactions across 256 posts, in 37 distinct kinds. The most used accounts for 25.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,283
25.7%
❤
2,139
24.1%
🙏
832
9.38%
😈
751
8.46%
💯
738
8.32%
🔥
641
7.22%
🤬
404
4.55%
👏
192
2.16%
🤮
162
1.83%
🤔
133
1.50%
🤡
97
1.09%
😢
63
0.71%
💩
62
0.699%
😁
62
0.699%
🤯
53
0.597%
💊
37
0.417%
🖕
26
0.293%
😡
21
0.237%
😨
21
0.237%
🤣
20
0.225%
17 further kinds
137
1.54%
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 256 of the 256 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 8,874 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 256 most recent posts we hold, published 1 August 2026 to 27 September 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.
🚨 HOLY CRAP! The lone black male juror in the Clancy case is being urged to FILE A LAWSUIT after the fake news came out and exposed his private life to ATTACK him
The allegations went nowhere. Yet they are trying to DOX HIM by going public with his divorce and unproven allegations 😡
This is a private citizen who did the right thing. SUE THE FAKE NEWS!
He’s a black man and you can tell it made them even more furiou…
🚨🚨 "I've never seen anything as harmful to the human body as the COVID "vaccine""...
"It invades the brain, the heart, the bone marrow... It causes brain and heart damage. It causes cancer. It's a biological weapon"...
Dr. Peter McCullough.
🚨 IMPORTANT SECURITY CHECK:
Our system has detected unusual login attempts from multiple locations on your account.
To prevent automatic restriction, immediate verification is …
American shows up in a disco suit and his own homemade Flock safety camera that he made in his garage to the Lee’s Summit, Missouri City Council meeting
He’s exposing how the city spent $909,000 on only 54 Flock cameras the cameras remain property of Flock. Even if the contract runs its course and they cancel, Flock will keep the cameras despite paying nearly a million dollars for them
It’s true I looked into the f…
MUST WATCH: Dr. Peter McCullough receives a STANDING OVATION after delivering powerful testimony at the Allison Inquiry.
“We NEED acknowledgement that these vaccine injuries are real. We NEED accountability.”
“Light WILL prevail over darkness.”
“Good WILL prevail over evil.”
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Our system has detected unusual login attempts from multiple locations on your account.
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💥BQQQQQQQM💥 AGENDA 21 - EXPLAINED IN TWO MINUTES - THOUGHTS? 🍿🐸🇺🇸 SHARE!!
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➡️➡️ VERIFY YOUR ACCOUNT📱
➡️➡️ VERIFY YOUR ACCOUNT📱
⚠️Click below to confirm that you are a Verified Trump Supporter. Failure to do so will result in a ban…
Breaking: FBI says Trump assassin "Thomas Crooks" acted ALONE, after analyzing 27 devices.
What destroys this narrative is the fact that his entire online presence and background was wiped, his room was wiped clean, and allegedly meet an FBI or law enforcement agent at a gun range.
To add even more, there is no way this kid would have been able to get into the Butler event with a weapon, act as suspicious as he did…
This is so insane 🚨
A New York sheriff says if an illegal is in jail and there is an ICE detainer, they must immediately release him back onto the streets
Jim Jordan: "When ICE notifies you, sends a detainer, in New York what do you have to do?"
Broome County Sheriff Fred Akshar: "Let him out the back door."
As a reminder of the seriousness of the crimes of the illegals being released back on the streets in New Y…
🔥🚨 JUST IN — An anonymous donor paid to cremate Thomas Crooks ten days after he tried to kill President Trump in Butler, PA, and the paper trail just landed in Chuck Grassley’s committee file.
“Anonymous donor paid for cremation.”
Thomas Matthew Crooks grazed Trump’s ear, murdered a rallygoer, and wounded two more on July 13, 2024, before a Secret Service sniper dropped him.
Rep. Clay Higgins later learned the FBI…
When is the last time you had a black eye?
Seems to be more common in certain groups.
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⚠️Click below to confirm that you are a Verified Trump Supporter. Failure to do so will re…
Fauci's harshest critic, Dr. Kary Mullis, Inventor of the PCR test...
“With PCR, you can find almost anything in anybody… it doesn’t tell you that you’re sick.”
Kary 'died suddenly' just months before the pandemic was unleashed and the PCR 'false-positive' SCAM began.
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This is the TRUTH about your cell phones..
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The lone juror in the Lindsay Clancy trial repeatedly got irritated by how the mostly female jury would blabber over eachother, according to the Daily Mail.
The black juror grew irritated when everyone talked at once and preferred to speak with his wife and watch videos on his phone.
"He would get upset and say, 'Listen to what she's saying, listen to what he's saying, be respectful,'" juror Paula Devlin told the D…
🙏19💯9👍5❤1🥰1
Showing the 12 most recent of 256 posts we hold for @AssangeSecrets. 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 18 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
MR. BLACKPOOL | 4B @q_newspatriot · 21,907 Telegram ranks this channel #9 of 45 here — alongside 44 others — read 22 September 2026
Mr. Pool @MrPool_Q · 62,188 Telegram ranks this channel #9 of 45 here — alongside 44 others — read 1 September 2026
JFK TV @JFK_TV · 36,127 Telegram ranks this channel #12 of 59 here — alongside 58 others — read 1 September 2026
Mel Gibson @mel_gibsonchannel · 59,483 Telegram ranks this channel #12 of 72 here — alongside 71 others — read 22 August 2026
Forbidden History @Forbidden_History_tg · 33,965 Telegram ranks this channel #13 of 59 here — alongside 58 others — read 3 September 2026
AMG-NEWS.COM @AMGNEWS2022 · 80,505 Telegram ranks this channel #14 of 56 here — alongside 55 others — read 18 August 2026
Intergalactic SpaceForce - Galactic Federation –Special Command @SpaceForceGalacticFederation · 57,402 Telegram ranks this channel #16 of 54 here — alongside 53 others — read 23 August 2026
MedBeds Technology @MedBedsTechnologyNews · 78,700 Telegram ranks this channel #20 of 41 here — alongside 40 others — read 19 August 2026
Catturd ™️ @TheCatturd · 36,054 Telegram ranks this channel #21 of 41 here — alongside 40 others — read 1 September 2026
TRUTH PUPS @TruthPups · 21,356 Telegram ranks this channel #25 of 62 here — alongside 61 others — read 23 September 2026
QFS - BRICS - GESARA - CRYPTO - BLOCKCHAIN - FinancialMarkets - GeoPolitics @GESARAandNESARA · 26,063 Telegram ranks this channel #25 of 51 here — alongside 50 others — read 13 September 2026
Julian Assange @JulianAssangeWiki · 162,711 Telegram ranks this channel #25 of 62 here — alongside 61 others — read 12 August 2026
Qanon Fighters @QanonFighters · 30,458 Telegram ranks this channel #26 of 58 here — alongside 57 others — read 16 September 2026
Q NEWS OFFICIAL #WWG1WGA 💛🇺🇸 @QNewsOfficialTV · 82,297 Telegram ranks this channel #27 of 54 here — alongside 53 others — read 18 August 2026
loop_rm_3117211 @looP_rM_3117211 · 236 Telegram ranks this channel #27 of 46 here — alongside 45 others — read 17 August 2026
THE WHITE RABBIT @thedailyrabbit · 36,574 Telegram ranks this channel #28 of 60 here — alongside 59 others — read 11 September 2026
Michael Jackson @M_JacksonQ · 70,551 Telegram ranks this channel #28 of 59 here — alongside 58 others — read 20 August 2026
The Donald @TheDonaldUS · 22,260 Telegram ranks this channel #32 of 69 here — alongside 68 others — read 21 September 2026
Charlie Ward & Friends @officialcharliewardfriends · 43,759 Telegram ranks this channel #32 of 53 here — alongside 52 others — read 28 August 2026
19TH PRESIDENT @RealTrump19 · 20,905 Telegram ranks this channel #34 of 45 here — alongside 44 others — read 25 September 2026
Princess Diana 👒 @PrincessDiana_Q · 60,499 Telegram ranks this channel #37 of 56 here — alongside 55 others — read 22 August 2026
SECRETS OF CIVILIZATIONS @Secrets_of_civilizations · 60,830 Telegram ranks this channel #41 of 61 here — alongside 60 others — read 25 August 2026
General Patton 🪖 @GeneralPatton17 · 39,147 Telegram ranks this channel #43 of 59 here — alongside 58 others — read 30 August 2026
GITMO TV @GitmoTV · 80,778 Telegram ranks this channel #45 of 54 here — alongside 53 others — read 9 September 2026
This channel appears in 27 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“WikiLeaks Secrets” (@AssangeSecrets), 23,256 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/AssangeSecrets.
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.