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Channel

WikiLeaks Secrets

@AssangeSecrets

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

24,836subscribers

+942 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002026924416
TypeChannel
Username@AssangeSecrets
DescriptionWikiLeaks - WE OPEN GOVERNMENTS
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/AssangeSecrets

Topic

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 the other topics.

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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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)
Posted firstThenOverlapGap
@AssangeSecrets/4862 · this entry4 Aug 2026, 04:03 UTC@KarenFannReal/218524 Aug 2026, 04:03 UTC1.00under a minute
@AssangeSecrets/4863 · this entry4 Aug 2026, 07:00 UTC@KarenFannReal/218534 Aug 2026, 07:01 UTC1.00under a minute
@AssangeSecrets/4864 · this entry4 Aug 2026, 10:04 UTC@KarenFannReal/218544 Aug 2026, 10:04 UTC1.00under a minute
@AssangeSecrets/4865 · this entry4 Aug 2026, 13:04 UTC@KarenFannReal/218564 Aug 2026, 13:04 UTC1.00under a minute
@AssangeSecrets/4866 · this entry4 Aug 2026, 16:04 UTC@KarenFannReal/218584 Aug 2026, 16:04 UTC1.00under a minute
@AssangeSecrets/4871 · this entry7 Aug 2026, 01:02 UTC@KarenFannReal/218887 Aug 2026, 01:02 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@KarenFannReal6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (6–0)

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).

Of the group of 2 channels, the one whose matching posts we hold earliest 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.

Growth

23,08024,83623,9586 August 202611 November 2026
65 measurements spanning 97 days, net +942. 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 22,817–25,099 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 01:0924,836+41
9 Nov 2026, 13:4024,795+19
8 Nov 2026, 07:4724,776+5
7 Nov 2026, 01:4024,771+21
6 Nov 2026, 01:0724,750+25
5 Nov 2026, 04:1824,725+41
4 Nov 2026, 07:0724,684+7
3 Nov 2026, 08:0024,677+137
2 Nov 2026, 10:5524,540+138
31 Oct 2026, 15:0024,402+15
30 Oct 2026, 13:0524,387+31
29 Oct 2026, 15:5724,356+505
28 Oct 2026, 13:3023,851+26
27 Oct 2026, 13:3623,825+16
26 Oct 2026, 12:0923,809+45
25 Oct 2026, 10:3423,764+25
24 Oct 2026, 11:3123,739+15
23 Oct 2026, 13:5623,724+16
22 Oct 2026, 14:0123,708+14
21 Oct 2026, 09:0923,694first reading

Engagement

614 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 121 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.73%
avg views ÷ 24,836 subscribers
Avg views / post
926
233 posts measured
Reaction rate
3.97%
reactions ÷ views · ER floor
Posts in window
233
of 614 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
WindowRolling 30 days · latest post in window 11 November 2026
Posts held614 (1 August 2026 – 11 November 2026)
Views total215,807
Reactions total8,564
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 04:14 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
≈137
Videos
≈1,140
Links
≈1,340

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
19h 02m
Average length
2m 20s

Measured directly from 489 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

21,482 reactions across 614 posts, in 53 distinct kinds. The most used accounts for 25.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5,44325.3%
👍4,79222.3%
🙏3,16814.7%
😈1,7868.31%
🔥1,7598.19%
💯1,6467.66%
🤬6232.90%
👏3581.67%
🤔3051.42%
🤮2451.14%
💩1910.889%
🤡1500.698%
🤯1390.647%
😢1210.563%
💊730.34%
😁730.34%
🖕630.293%
😡440.205%
😱430.2%
👎410.191%
33 further kinds4191.95%

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 614 of the 614 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 21,482 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 614 most recent posts we hold, published 1 August 2026 to 11 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 3 of 233 posts held from the last 30 days (1.29%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 02:04 UTC276 views25 reactionsread 11 November 2026
Photo

Love this. Everything is building towards this moment. Trump put his warrior in charge of the White House, to get everyone focused on the battle. The democrats thought they won. They are talking tough. But Trump remains absolutely “calm.” No worries. Calm before the STORM. They ALL know what’s coming. ———— Q drop 2792 Feb 18, 2019 2:31:59 PM EST FEAR IS REAL. Something BIG is coming. Q ————- Anybody remember…

❤12👍7💯2🙏2🔥1🤔1

10 Nov 2026, 23:01 UTC488 views24 reactionsread 11 November 2026

If you're still here, I want you to read this. ㅤ Yes. YOU. ㅤ The person who has spent years wondering if you're the only one who sees that something isn't right. ㅤ The person who stopped talking about certain things at family dinners because you got tired of the arguments. ㅤ The person who lost friends because you refused to pretend you believed something you didn't. ㅤ The person who was called crazy. ㅤ Conspiracy th…

🙏17❤7

10 Nov 2026, 20:04 UTC607 views25 reactionsread 11 November 2026
Photo

Trust me. Both the democrats AND the media were surprised and shocked by how big the blue tsunami was. None of them expected it. And the data is indefensible. There is no logical explanation for any of it because the mathematical odds are astronomical. On the outside, democrats are celebrating all across the country, as their media allies desperately try to move on from the election and change the subject. “Not…

❤12👍5💯3🤔3🙏2

10 Nov 2026, 17:04 UTC694 views28 reactionsread 11 November 2026
Video

Hospitals have a responsibility to promote health in every part of patient care, including the food they serve. More than 250 hospitals are taking action to improve nutrition for their patients, staff, and communities. I am calling on every hospital in America to join them, sign the pledge, and help make healthy food a standard part of health care. 👇DIRECT FROM JULIAN ASSANGE HIMSELF https://t.me/AssangeSecrets ✅️ …

👍16❤9🙏2💯1

10 Nov 2026, 14:05 UTC748 views19 reactionsread 11 November 2026
Video

🚨 Walking away from Abdul El-Sayed was "a weight off my shoulders." She endorsed him. She tried to help him. Then she says "Abdul has been getting angrier and angrier." That ad was "very painful," she said, and he never apologized. Now she says Democrats are being told it's "a party you don't belong in." When even the woman who endorsed him can't stomach him, Michigan should listen. Vote Mike Rogers tomorrow. …

❤16🙏2👀1

10 Nov 2026, 11:02 UTC786 views28 reactionsread 11 November 2026
Video

9% OF SENATE DEMOCRATS SUFFERED STROKES AFTER TAKING COVID SHOTS Two studies explain why: 1) mRNA and spike protein are found inside the brains of hemorrhagic stroke victims YEARS after vaccination, damaging vessel walls. 2) An 85 million-person study found Pfizer recipients face up to 269% higher odds of suffering a stroke. These are the COVID vaccinated senators who suffered strokes: Chris Murphy (D-CT) — age 53 Be…

❤10👍9🙏8👀1

10 Nov 2026, 08:03 UTC811 views36 reactionsread 11 November 2026
Video

🚨🚨 SHOCK: "The most impressive thing is that IVERMECTIN cream or paste completely eliminates skin cancers... basal cell carcinoma, squamous cell carcinoma, and melanoma heal and slough off"... "Topical ivermectin cures any inflammatory or autoimmune skin condition, including rosacea, cystic acne, and eczema." Dr. William Makis, radiologist, oncologist, and cancer researcher. Ivermectin has anti-inflammatory, antivira…

👍19🙏11❤6

10 Nov 2026, 05:04 UTC805 views28 reactionsread 11 November 2026
Video

Daymond and Heather John noticed something at Disney in Japan they never saw in Orlando. Japan's obesity rate is 4% to 5%, while America's is 45%. “We went to Disney in Japan and we've been to Disney in Orlando dozens of times.” “There's a huge difference that we noted.” “Nobody in those scooters who are obese.” “And I looked it up and Japan's obesity is 4% to 5% and America's is 45%.” 👇DIRECT FROM JULIAN ASSAN…

👍18🙏6❤3🖕1

10 Nov 2026, 02:01 UTC881 views35 reactionsread 11 November 2026
Video

This year the NIH funded a record 1,650 early-career scientists with large grants for the first time. NIH Director Dr. Jay Bhattacharya says the NIH changed who gets the money. “This year, we have got all of the NIH money out.” “We funded 1,650 early-career scientists with large grants for the first time, a record at the NIH.” “The key to science advancing is to let people try new ideas out, to refresh science wi…

🙏22❤5🤔5👍3

9 Nov 2026, 23:04 UTC924 views29 reactionsread 11 November 2026
Video

🚨 JUST IN: Lara Trump MIC DROPS Barack Hussein Obama rushing out to black voters acting like a black preacher "[Trump] DOESN'T CHANGE. You know what voters hate? Fakers, phonies, and Hillary Clinton pulling the hot sauce out of her purse to pander to black voters!" "This is a man who used to hold a lot of sway with Democrat voters. He's now been reduced, of course, to campaigning with socialists! If he wants to sta…

❤15👍7🙏6🔥1

9 Nov 2026, 20:05 UTC931 views41 reactionsread 11 November 2026
Video

RFK Jr. reveals that 37 hours after Kamala and Biden were installed into the White House, they opened an illegal portal between social media giants and the FBI, CIA, CDC, etc, to begin the rampant censorship of Americans Platforms were THREATENED to comply, or else "their section 230 immunity was in jeopardy." "These people are cynical, terrible people, and they knew what they were doing was breaking the law." - Thi…

❤22🙏13🤬5🔥1

9 Nov 2026, 17:00 UTC969 views44 reactionsread 11 November 2026
Photo

Interesting post by Trump on TS. Do you notice a theme? ——— Too bad the Senate has not yet approved the Sunshine Protection Act or, the I Don’t Want to Change My Clocks Anymore Act. It’s so dark outside, so early (Sunset was 5:06 P.M., and it was dark by 5:31 P.M. — Isn’t that ridiculous?). Just a few days ago it was so nice and sunny at this same time. In addition, everyone’s been running around changing their clo…

🙏30❤7👍7

Showing the 12 most recent of 614 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

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.

loop_rm_3117211
@looP_rM_3117211 · 374
#1
The 47th
@Official47th · 3,142
#2
JFK TV
@JFKTV47 · 3,460
#3
ULTRA MAGA PARTY👑
@UltraMagaParty45 · 3,543
#4
WikiLeaks
@TrueWikiLeaks · 2,514
#5
CBKNEWS
@CBK_17Q · 3,045
#6
WWG1WGA
@WWG1WGAUSA · 4,310
#7
JFK Awakening Q17
@Q17_JFK_AWAKENING · 4,198
#8
TRUMP RESURRECTION
@trump_donaldchannel · 4,018
#9
FALL OF THE CABAL 2.0
@fallofcabalprivate · 3,379
#10
The Punisher
@ThePunisher_45 · 5,351
#11
WikiLeaks TRUTH
@Wikileaks_truths · 4,507
#12
Mr. Pool
@MrPool_Q · 62,809
#13
White Rabbit
@WhiteRabbit_Q17 · 5,515
#14
Scott Bessent
@SecScottBessentTG · 4,557
#15
Follow The White Rabbit
@TheWhiteRabbitQ · 4,370
#16
TRUMP EXPLICIT ⛔️
@trumpexplicitprivate · 2,946
#17
Q) The Storm Rider
@TheStorm_Rider · 5,371
#18
Q™️
@QTHESTORMOFFICIAL · 10,489
#19
SGAnon
@SGanon2 · 2,109
#20
🦅 Eagle Wings
@EagleWings45 · 5,066
#21
John F. Kennedy
@JFKOFFICIAL_Q · 10,512
#22
NESARA/GESARA
@NESARAGESARA_Q · 5,300
#23
QAnon - The Storm Is Coming
@QAnonTheStorm · 4,486
#24
Mr. Pool 2.0
@MrPool_Q45 · 5,341
#25
Patrick Bouvier Kennedy
@Official_PatrickKennedy · 2,988
#26
Quantum Connected
@Quantum_Connected17 · 5,492
#27

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 · 21,384
Telegram ranks this channel #9 of 45 here — alongside 44 others — read 22 September 2026
Mr. Pool
@MrPool_Q · 62,809
Telegram ranks this channel #9 of 45 here — alongside 44 others — read 1 September 2026
JFK TV
@JFK_TV · 35,339
Telegram ranks this channel #12 of 59 here — alongside 58 others — read 1 September 2026
Mel Gibson
@mel_gibsonchannel · 58,332
Telegram ranks this channel #12 of 72 here — alongside 71 others — read 22 August 2026
Forbidden History
@Forbidden_History_tg · 33,423
Telegram ranks this channel #13 of 59 here — alongside 58 others — read 3 September 2026
AMG-NEWS.COM
@AMGNEWS2022 · 79,243
Telegram ranks this channel #14 of 56 here — alongside 55 others — read 18 August 2026
Intergalactic SpaceForce - Galactic Federation –Special Command
@SpaceForceGalacticFederation · 56,292
Telegram ranks this channel #16 of 54 here — alongside 53 others — read 23 August 2026
MedBeds Technology
@MedBedsTechnologyNews · 91,744
Telegram ranks this channel #20 of 41 here — alongside 40 others — read 19 August 2026
Ezra A. Cohen
@Ezra_Cohen_Private · 19,586
Telegram ranks this channel #21 of 57 here — alongside 56 others — read 29 September 2026
Catturd ™️
@TheCatturd · 33,864
Telegram ranks this channel #21 of 41 here — alongside 40 others — read 1 September 2026
TRUTH PUPS
@TruthPups · 20,992
Telegram ranks this channel #25 of 62 here — alongside 61 others — read 23 September 2026
QFS - BRICS - GESARA - CRYPTO - BLOCKCHAIN - FinancialMarkets - GeoPolitics
@GESARAandNESARA · 25,522
Telegram ranks this channel #25 of 51 here — alongside 50 others — read 13 September 2026
Julian Assange
@JulianAssangeWiki · 163,699
Telegram ranks this channel #25 of 62 here — alongside 61 others — read 12 August 2026
Qanon Fighters
@QanonFighters · 29,741
Telegram ranks this channel #26 of 58 here — alongside 57 others — read 16 September 2026
Q NEWS OFFICIAL #WWG1WGA 💛🇺🇸
@QNewsOfficialTV · 98,616
Telegram ranks this channel #27 of 54 here — alongside 53 others — read 18 August 2026
loop_rm_3117211
@looP_rM_3117211 · 374
Telegram ranks this channel #27 of 46 here — alongside 45 others — read 17 August 2026
THE WHITE RABBIT
@thedailyrabbit · 36,064
Telegram ranks this channel #28 of 60 here — alongside 59 others — read 11 September 2026
Michael Jackson
@M_JacksonQ · 69,056
Telegram ranks this channel #28 of 59 here — alongside 58 others — read 20 August 2026
The Donald
@TheDonaldUS · 21,738
Telegram ranks this channel #32 of 69 here — alongside 68 others — read 21 September 2026
Charlie Ward & Friends
@officialcharliewardfriends · 43,494
Telegram ranks this channel #32 of 53 here — alongside 52 others — read 28 August 2026
19TH PRESIDENT
@RealTrump19 · 20,389
Telegram ranks this channel #34 of 45 here — alongside 44 others — read 25 September 2026
Princess Diana 👒
@PrincessDiana_Q · 59,585
Telegram ranks this channel #37 of 56 here — alongside 55 others — read 22 August 2026
SECRETS OF CIVILIZATIONS
@Secrets_of_civilizations · 59,800
Telegram ranks this channel #41 of 61 here — alongside 60 others — read 25 August 2026
General Patton 🪖
@GeneralPatton17 · 38,712
Telegram ranks this channel #43 of 59 here — alongside 58 others — read 30 August 2026

This channel appears in 29 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“WikiLeaks Secrets” (@AssangeSecrets), 24,836 subscribers as measured 11 November 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.