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Channel

Catturd ™️

@TheCatturd

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

33,864subscribers

-2,948 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002137648797
TypeChannel
Username@TheCatturd
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 live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/TheCatturd

Topic

Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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 3 other registered channels. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dr_judymikovitss/39093 Oct 2026, 17:21 UTC@TheCatturd/22986 · this entry5 Oct 2026, 19:32 UTC1.002 days
@dr_judymikovitss/39103 Oct 2026, 21:21 UTC@TheCatturd/22987 · this entry5 Oct 2026, 21:02 UTC1.0048 hours
@dr_judymikovitss/39124 Oct 2026, 03:21 UTC@TheCatturd/22992 · this entry6 Oct 2026, 00:32 UTC1.0045 hours
@dr_judymikovitss/39186 Oct 2026, 17:21 UTC@TheCatturd/23077 · this entry8 Oct 2026, 19:32 UTC1.002 days
@dr_judymikovitss/39217 Oct 2026, 03:21 UTC@TheCatturd/23083 · this entry9 Oct 2026, 00:32 UTC1.0045 hours
@dr_judymikovitss/394515 Oct 2026, 17:21 UTC@TheCatturd/23329 · this entry17 Oct 2026, 19:32 UTC1.002 days
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
@dr_judymikovitss27 (8/8 hand-verifiable sample passed)0.9727 hours@dr_judymikovitss (18–9)
@FallOfTheCabaltwo5 (5/5 hand-verifiable sample passed)1.0047 hours@FallOfTheCabaltwo (5–0)
@ConspiracyTheoryQ5 (5/5 hand-verifiable sample passed)0.792.7 hoursthis entry (3–2)

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. 25 of the 25 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 1,990 comparable posts for this entry, running 5 August 2026 to 31 October 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 3 channels, the one whose matching posts we hold earliest is @dr_judymikovitss. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 11 November 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 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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

33,86436,81235,3386 August 202610 November 2026
64 measurements spanning 96 days, net -2,948. 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 33,422–37,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 05:2033,864-150
8 Nov 2026, 17:4434,014-100
7 Nov 2026, 10:1634,114-113
6 Nov 2026, 07:3934,227-132
5 Nov 2026, 07:3034,359-191
4 Nov 2026, 08:1734,550-175
3 Nov 2026, 10:3634,725-234
2 Nov 2026, 10:3834,959-303
1 Nov 2026, 08:2735,262-384
31 Oct 2026, 11:0635,646-12
30 Oct 2026, 10:0635,658-23
29 Oct 2026, 12:3135,681-17
28 Oct 2026, 14:3035,698-9
27 Oct 2026, 15:5135,707-21
26 Oct 2026, 16:4635,728-7
25 Oct 2026, 17:2835,735-27
24 Oct 2026, 16:5735,762-16
23 Oct 2026, 18:1035,778-5
22 Oct 2026, 21:1135,783-4
21 Oct 2026, 19:4835,787first reading

Engagement

2,135 posts held, back to 5 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 156 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.32%
avg views ÷ 33,864 subscribers
Avg views / post
2,820
499 posts measured
Reaction rate
9.30%
reactions ÷ views · ER floor
Posts in window
499
of 2,135 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 31 October 2026
Posts held2,135 (5 August 2026 – 31 October 2026)
Views total1,405,221
Reactions total130,659
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Oct 2026, 05:00 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
8h 58m
Average length
1m 14s

Measured directly from 436 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

257,255 reactions across 998 posts, in 71 distinct kinds. The most used accounts for 24.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯63,98324.9%
👍34,71113.5%
🤣21,9828.54%
🖕16,4526.40%
🙏16,4016.38%
❤13,2885.17%
👏13,2855.16%
😈12,2754.77%
🤡11,4004.43%
🤮9,7763.80%
🤬9,5173.70%
🔥8,2783.22%
💩7,1622.78%
😁4,3481.69%
🥴3,3211.29%
🤪1,4160.55%
🤔1,2290.478%
👎1,1450.445%
🤯9440.367%
🥰8920.347%
51 further kinds5,4502.12%

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 998 of the 1,000 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 257,255 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 25 September 2026 to 31 October 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: 0 of 499 posts held from the last 30 days (0%) 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).

31 Oct 2026, 04:32 UTC256 views17 reactionsread 31 October 2026

Good night to everyone. @TheCatturd

👍6🙏6❤3🥱2

31 Oct 2026, 04:02 UTC510 views44 reactionsread 31 October 2026
Video

Rep. Brandon Gill CLAPS BACK at James Talarico whining about Elon Musk spending millions to keep Texas red "I'd just POINT OUT that James Talarico is raising ENORMOUS amount of money from outside of the state of Texas that he is using to try to convince voters that a candidate who knows his favorite drag queen off the top of his head is totally normal!" "The reality is that Ken Paxton has been, I believe, the most ef…

👍33❤7💯4

31 Oct 2026, 03:32 UTC739 views63 reactionsread 31 October 2026
Video

Americans need to take this WAY more seriously “There's a reason why the globalists have imported, and the communists have imported enormous numbers of Muslims into our societies. It's because they want to use them as a battering ram to break down national sovereignty and what's left of Christian civilization. So, we absolutely need to get serious about this” “Trump's first National Security Council, the Director o…

👍31💯22🙏8❤1🔥1

31 Oct 2026, 03:02 UTC≈1,030 views84 reactionsread 31 October 2026
Video

The Midterms will determine what happens to Walt… A vote for Democrats is a vote to break Walt forever. To increase his taxes, continue infinity third world immigration of fraudsters who make Walt’s neighborhood filthy and unsafe for his children, further destroy the economy, call Walt racist and demoralize him beyond the breaking point that so many of us feel. America First will save Walt. Republicans will lower…

🔥51💯18❤10👍5

31 Oct 2026, 02:32 UTC≈1,270 views108 reactionsread 31 October 2026
Video

"This thing is clearly orchestrated, by the Democratic Party... This is not a legitimate candidate." Alaska Gov. Mike Dunleavy accuses Democrats of coordinating an alleged scheme involving a candidate with nearly the same name as incumbent Republican Sen. Dan Sullivan. Dunleavy says the candidate initially filed under the name "Dan S. Sullivan," despite going by Daniel J. Sullivan, and claims his campaign website c…

🔥64💯42❤2

31 Oct 2026, 02:02 UTC≈1,500 views153 reactionsread 31 October 2026
Video

The Trump DOJ uncovered a MULTIMILLION dollar student loan fraud scheme perpetrated in part by KENYANS in America These Kenyans were STEALING American identities, applying for student loans, then sending that money back to KENYA SEND THEM ALL BACK. We DO NOT need these people here. Multiple Kenyans have now been indicted by federal grand juries on SEVERAL federal charges, including theft of government money and ag…

🔥82💯55😈11❤5

31 Oct 2026, 01:32 UTC≈1,750 views149 reactionsread 31 October 2026
Video

STEPHEN MILLER: "How did we end up with 60 senators in the first place in 2008 to pass Obamacare?! Because Democrats rigged the ALASKA ELECTION then with a fake case against then-Senator Ted Stevens. There is a HISTORY here where Alaska Democrats have tried corruptly to steal the vote of the Alaskan people." "To lie so casually, so repeatedly, so comfortably, it's generally SOCIOPATHIC! And they lied again and again …

👍87💯34🔥24❤4

31 Oct 2026, 01:02 UTC≈1,920 views254 reactionsread 31 October 2026
Video

FBI Director Kash Patel says agents RAIDED a Minnesota CHILD CARE CENTER yesterday, executing three search warrants there plus two more at the owners' HOMES Patel says FBI Minneapolis executed 17 SEARCH WARRANTS in a single day, tied to a 26-count indictment, and arrested four of the alleged fraudsters. The Somali fraud party in Minnesota is OVER. LET'S GO!!! 🔥 https://t.me/TheCatturd 🚨 NEW BLACKOUT UPDATE – SEC…

👍129🔥70👏38❤15🏆2

31 Oct 2026, 00:32 UTC≈2,100 views216 reactionsread 31 October 2026
Video

Treasury Secretary Scott Bessent details the administration's fraud crackdown, reporting $175 million in payments returned before reaching deceased individuals and nearly $190 million in overseas fraud stopped. Bessent says more than $100 million has been returned to U.S. fraud victims, while Treasury has ordered an audit of approximately $9 billion in contracts. https://t.me/TheCatturd 🚨 NEW BLACKOUT UPDATE – SEC…

🔥138👍43🏆18👏13🙏4

31 Oct 2026, 00:02 UTC≈2,230 views248 reactionsread 31 October 2026
Video

Alaska US Attorney just walked out and announced a SURGE in law enforcement descending on the Democrat scandal to place a fake Dan Sullivan on the US Senate ballot, involving Mary Peltola (D)'s operatives BALLOTS will be preserved after Election Day is over. "This new information has resulted in a significant surge of law enforcement assets to Alaska, and I have assigned several attorneys in my office to assist in …

🔥157👏64👍18❤8🏆1

30 Oct 2026, 23:32 UTC≈2,350 views207 reactionsread 31 October 2026
Video

This is so bad I can’t believe she’s even a candidate. Burp. https://t.me/TheCatturd 🚨 NEW BLACKOUT UPDATE – SECOND WAVE JUST OPENED 🚨 Military intelligence just activated a second emergency entry window after the first wave filled up. A new classified channel has just been cleared and will stay online when the EBS hits and the Ten Days of Darkness begin. You have a limited window to get inside before it locks p…

🤡131💯33🤮22🖕11🥴6❤3🤣1

30 Oct 2026, 23:02 UTC≈2,500 views263 reactionsread 31 October 2026
Photo

My favorite mug shot in a long time lol. https://t.me/TheCatturd 🚨 NEW BLACKOUT UPDATE – SECOND WAVE JUST OPENED 🚨 Military intelligence just activated a second emergency entry window after the first wave filled up. A new classified channel has just been cleared and will stay online when the EBS hits and the Ten Days of Darkness begin. You have a limited window to get inside before it locks permanently. This is…

🤣169💯71❤9👏9💩4🖕1

Showing the 12 most recent of 2,135 posts we hold for @TheCatturd. 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.

Posts edited after publishing

@TheCatturd edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
10 October 2026
Most recent edit
10 October 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Conspiracy Theorist
@bestofcon · 5,432
6 posts
JFK Awakening
@JFKAwakening17 · 3,713
4 posts
Dr. Mike Yeadon
@MikeYeadonOfficial · 2,002
4 posts
NESARA/GESARA
@NESARAGESARATG · 3,715
4 posts
Dr. Naomi Wolf
@NaomiWolfOfficial · 3,576
4 posts
Dr. Petter McCollough
@PeterMcCullough1 · 2,977
4 posts
THE WHITE RABBIT
@TheWhiteRabbit_TG · 1,131
4 posts
WWG1WGA
@WWG1WGAUSA · 4,310
4 posts
WikiLeaks Revealing
@WikileaksFilesTG · 460
4 posts
🦅 Eagle Wings
@EagleWings45 · 5,054
3 posts
End Wokeness
@EndWokeness1 · 3,545
3 posts
GITMO TV INTEL
@GitmoTVIntel · 1,453
3 posts
JFK Awakening
@JFK_Awakening · 840
3 posts
QAnon Warriors
@QAnon_Warriors2 · 4,634
3 posts
Hidden Truth
@TheHiddenTruthChannel1 · 3,464
3 posts
The Punisher
@ThePunisher_45 · 5,351
3 posts
Follow The White Rabbit
@TheWhiteRabbitQ · 4,370
3 posts
Dan Scavino
@DanScavino3 · 2,885
2 posts
Dr Rashid Buttar
@Dr_Rashid_Buttar · 619
2 posts
Pierre Kory
@Pierre_Kory_Official · 1,350
2 posts
Private Q Evidence
@Private_Q_EvidenceQ · 3,934
2 posts
SGAnon
@SGanon2 · 2,109
2 posts
The Toledo Proud Boys
@ToledoProudBoys · 379
2 posts
ULTRA MAGA PARTY👑
@UltraMagaParty45 · 3,543
2 posts
Minute Men Updates 🇺🇸
@minutemenusa · 120
2 posts
JFK TV
@JFKTV47 · 3,460
1 post
Robert W Malone, MD
@Robert_MaloneMD · 1,069
1 post
Friends of Liberty
@SheriLibertyAndFriends · 71
1 post
Steve Bannon
@SteveBannon_TG · 2,161
1 post
White Hats
@TheWhiteHatsReal · 1,523
1 post
Truth Coast News
@TruthCoastNews · 120
1 post
Phantom Reborn
@fighting_tyranny · 8
1 post
Patriots Perspective
@patriotsperspective · 209
1 post
Mr. Pool
@pool_mr558 · 6,280
1 post
TheStormHasArrived47
@thestormhasarrived47 · 1,569
1 post

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 35 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

ULTRA MAGA PARTY👑
@UltraMagaParty45 · 3,543
#1
JFK TV
@JFKTV47 · 3,460
#2
🦅 Eagle Wings
@EagleWings45 · 5,054
#3
QAnon - The Storm Is Coming
@QAnonTheStorm · 4,486
#4
WWG1WGA
@WWG1WGAUSA · 4,310
#5
Q
@StormIsComingQ17 · 3,368
#6
WikiLeaks
@TrueWikiLeaks · 2,514
#7
FALL OF THE CABAL 2.0
@fallofcabalprivate · 3,366
#8
Gateway Pundit
@gatewaypunditofficial · 108,059
#9
The 47th
@Official47th · 3,142
#10
Catturd™️
@official_catturd2 · 3,862
#11
WarNuse
@WarNuseQ · 3,781
#12
The Vigilant Fox 🦊
@VigilantFox · 118,654
#13
Tucker Carlson
@TuckerCarlson4 · 4,018
#14
JFK Awakening Q17
@Q17_JFK_AWAKENING · 4,198
#15
Q™️
@QTHESTORMOFFICIAL · 10,474
#16
Catturd
@catturd47 · 3,505
#17
BioClandestine
@bioclandestine · 137,632
#18
loop_rm_3117211
@looP_rM_3117211 · 374
#19
The General
@GeneralMCNews · 142,298
#20
WikiLeaks Secrets
@AssangeSecrets · 24,836
#21
Donald J. Trump
@real_donaldjtrump · 579,193
#22
White Rabbit
@WhiteRabbit_Q17 · 5,515
#23
LauraAboli
@LauraAbolichannel · 165,156
#24
SGAnon
@SGanon2 · 2,109
#25
Quantum Connected
@Quantum_Connected17 · 5,492
#26
Cruel History
@cruel_historyy · 102,968
#27
Scott Bessent
@SecScottBessentTG · 4,559
#28
Forbidden History
@Forbidden_History_tg · 33,399
#29
Q) The Storm Rider /Official Page
@qthestormrider777 · 152,631
#30
Mr. Pool
@MrPoolOffiicial · 2,287
#31
Julian Assange
@JulianAssangeWiki · 163,699
#32
The Punisher
@ThePunisher_45 · 5,351
#33
The 'Great Reset' Exposed
@GreatReset1 · 6,050
#34
TRUMP EXPLICIT ⛔️
@trumpexplicitprivate · 2,946
#35
Qanon HeadQuarters
@QanonHeadQuarters · 1,858
#36
Patrick Bouvier Kennedy
@Official_PatrickKennedy · 2,988
#37
Follow The White Rabbit
@TheWhiteRabbitQ · 4,370
#38
John F. Kennedy
@JFKOFFICIAL_Q · 10,502
#39
Shadow of Ezra
@ShadowofEzra · 144,534
#40
Amir Tsarfati
@beholdisraelchannel · 559,033
#41

Read from Telegram’s recommendation API, most recently 1 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.

American Thinker
@americanthinker1 · 35,748
Telegram ranks this channel #16 of 73 here — alongside 72 others — read 1 September 2026
Farmer Lucy 👩‍🌾
@Farmer_Lucy · 50,268
Telegram ranks this channel #19 of 73 here — alongside 72 others — read 25 August 2026
Robert W Malone, MD
@RWMaloneMD · 103,075
Telegram ranks this channel #27 of 89 here — alongside 88 others — read 15 August 2026
Dr. Bryan Ardis
@BryanArdis · 36,472
Telegram ranks this channel #34 of 73 here — alongside 72 others — read 1 September 2026
SECRETS OF CIVILIZATIONS
@Secrets_of_civilizations · 59,778
Telegram ranks this channel #35 of 61 here — alongside 60 others — read 25 August 2026
USEFUL TIPS | LIFEHACKS💡
@Useful_Tips_Lifehacks · 33,657
Telegram ranks this channel #40 of 67 here — alongside 66 others — read 4 September 2026
Forbidden History
@Forbidden_History_tg · 33,399
Telegram ranks this channel #42 of 59 here — alongside 58 others — read 3 September 2026
Conspiracy Theory
@conspiracy_theory3 · 48,508
Telegram ranks this channel #42 of 73 here — alongside 72 others — read 26 August 2026
TRADITIONAL MEDICINE🌿🌸
@Traditional_Medicine_folk · 34,188
Telegram ranks this channel #51 of 62 here — alongside 61 others — read 3 September 2026
Dr David Martin
@DrDavidMartin · 49,760
Telegram ranks this channel #52 of 82 here — alongside 81 others — read 25 August 2026
Health Time💚
@Health_Time_US · 49,922
Telegram ranks this channel #55 of 74 here — alongside 73 others — read 25 August 2026
Christine Anderson, MdEP (AfD)
@christineanderson · 34,931
Telegram ranks this channel #58 of 86 here — alongside 85 others — read 2 September 2026
Cruel History
@cruel_historyy · 102,968
Telegram ranks this channel #59 of 74 here — alongside 73 others — read 15 August 2026
Gardening Tips 🏠🌿
@Gardening_Tips_Farming · 48,632
Telegram ranks this channel #65 of 79 here — alongside 78 others — read 26 August 2026
Dr. Simon
@goddek · 38,308
Telegram ranks this channel #73 of 87 here — alongside 86 others — read 30 August 2026
RealJackHibbs
@jackhibbs · 50,814
Telegram ranks this channel #73 of 87 here — alongside 86 others — read 24 August 2026
Barbara O'Neill
@BarbaraOneill_official · 109,535
Telegram ranks this channel #74 of 81 here — alongside 80 others — read 14 August 2026
Christiane Northrup M.D
@drchristianenorthrup · 40,942
Telegram ranks this channel #75 of 79 here — alongside 78 others — read 29 August 2026
Turning Point USA
@TPUSA · 45,754
Telegram ranks this channel #80 of 94 here — alongside 93 others — read 26 August 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,263
Telegram ranks this channel #85 of 91 here — alongside 90 others — read 18 August 2026
Children’s Health Defense
@childrenshd · 52,345
Telegram ranks this channel #88 of 91 here — alongside 90 others — read 24 August 2026

This channel appears in 21 seed channels' Telegram-generated recommendation lists in total. 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Catturd ™️” (@TheCatturd), 33,864 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/TheCatturd.

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.