Telegram RegisterThe public register of Telegram
Telegram profile photo for Covid Truth Network

Channel

Covid Truth Network

@covidtruthnet

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

57,372subscribers

-2,933 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-1001709446932
TypeChannel
Username@covidtruthnet
DescriptionThis is the channel of a group of public health, science, and media experts who will clarify the truth about Covid-19 and the associated measures and therapies.
Created31 December 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/covidtruthnet

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 20 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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 sits inside a group of 4 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

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
@robinmg20 (8/8 hand-verifiable sample passed)1.0072 seconds@robinmg (20–0)

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. 1 of the 1 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 77 comparable posts for this entry, running 5 May 2026 to 11 November 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 4 channels, the one whose matching posts we hold earliest is @beckernews. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 12 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 4 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

57,37260,30558,838.56 August 202611 November 2026
65 measurements spanning 97 days, net -2,933. 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 56,932–60,745 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, 18:4757,372-73
9 Nov 2026, 19:1857,445-48
8 Nov 2026, 09:1657,493-28
7 Nov 2026, 05:1057,521-32
6 Nov 2026, 06:5557,553-17
5 Nov 2026, 05:1157,570-55
4 Nov 2026, 04:3657,625-28
3 Nov 2026, 04:2857,653-12
2 Nov 2026, 07:1857,665-18
1 Nov 2026, 04:2957,683-13
31 Oct 2026, 04:5857,696-20
30 Oct 2026, 05:1157,716-65
29 Oct 2026, 04:1757,781-28
28 Oct 2026, 00:3057,809-20
26 Oct 2026, 23:4657,829-18
26 Oct 2026, 00:0657,847-49
24 Oct 2026, 23:2057,896-21
23 Oct 2026, 19:4757,917-31
22 Oct 2026, 19:3757,948-11
21 Oct 2026, 14:0557,959first reading

Engagement

85 posts held, back to 5 May 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.4%
avg views ÷ 57,372 subscribers
Avg views / post
6,550
12 posts measured
Reaction rate
2.32%
reactions ÷ views · ER floor
Posts in window
12
of 85 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 12 November 2026
Posts held85 (5 May 2026 – 12 November 2026)
Views total78,620
Reactions total1,822
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 11:14 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
≈3,120
Videos
≈4,060
Links
≈9,420

Lifetime counters from Telegram’s own channel header, read 12 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
20m 23s
Average length
2m 55s

Measured directly from 7 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

13,995 reactions across 85 posts, in 46 distinct kinds. The most used accounts for 14.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤬2,01314.4%
👍1,74612.5%
🔥1,71112.2%
😈1,50710.8%
🙏1,39910.00%
👏1,3479.62%
💯1,2629.02%
❤9786.99%
🤔2812.01%
😡2621.87%
👀2101.50%
🖕2091.49%
💩1841.31%
🤡1671.19%
🤯1581.13%
👎1230.879%
🥱1010.722%
🤮780.557%
😁680.486%
⚡510.364%
26 further kinds1401.00%

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 85 of the 85 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 13,995 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 85 most recent posts we hold, published 5 May 2026 to 12 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: 0 of 12 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).

12 Nov 2026, 02:31 UTC≈2,160 views46 reactionsread 12 November 2026
Forwarded from @beckernews

'Now It Can Be Told': Dem Operative Reveals Massive Deception Campaign That Won Midterm Election “This is one of the most successful propaganda campaigns in American history.” https://www.thekylebecker.com/p/now-it-can-be-told-dem-operative

👎17🤮12😈9❤3🖕3🤡2

Signed Kyle Becker

11 Nov 2026, 18:27 UTC≈3,480 views108 reactionsread 12 November 2026
Forwarded from @beckernews

Newly Victorious Democrats Push Sinister Bill to Imprison Their Political Enemies “imprisoned not more than 5 years, or both.” https://www.youtube.com/watch?v=cNVcyyp0n7E

😈83👎14🤡6💯3👍1😁1

Signed Kyle Becker

10 Nov 2026, 03:45 UTC≈4,790 views202 reactionsread 12 November 2026
Forwarded from @beckernews

Two Republicans Were About to Win Midterm Election Victories. Then Came the Last-Minute Ballots. “That’s approximately 89.1% Democratic and 10.9% Republican.” https://www.thekylebecker.com/p/two-republicans-were-about-to-win

😡120😈35🤔31🤡7❤5🤬3🥱1

Signed Kyle Becker

8 Nov 2026, 00:49 UTC≈6,640 views116 reactionsread 12 November 2026
Forwarded from @beckernews

WHOA: Bizarre Result with 'Less Than a Trillion' Odds Surfaces In Election Data https://www.youtube.com/watch?v=HZ4G45Y8l1E

🤯54🤬44👍7🤡6💯4❤1

Signed Kyle Becker

7 Nov 2026, 20:29 UTC≈6,420 views86 reactionsread 12 November 2026
Forwarded from @beckernews

People Notice 'Bizarre' Coincidence in 2026 Midterm Elections That May Explain Everything https://www.youtube.com/watch?v=mOr8w_qvzqU

👀73🥱4😁4❤2🔥2🤡1

Signed Kyle Becker

7 Nov 2026, 17:10 UTC≈5,890 views187 reactionsread 12 November 2026
Forwarded from @beckernews

Midterms Election Race Flips After Discovery of ‘Missing’ Memory Card “So, that brings us to the question: How many more missing memory cards are out there?” https://www.beckerbrief.com/p/midterms-election-race-flips-after

🤔98🔥34🤬22🙏15🤮8💯5❤3💩1

Signed Kyle Becker

6 Nov 2026, 18:26 UTC≈5,880 views149 reactionsread 12 November 2026
Forwarded from @beckernews

We May Have Found the Reason for the Democrats' Victory in Texas “[T]he broken election system is not a bug, but a feature for corrupt Washington politicians.” https://www.thekylebecker.com/p/we-may-have-found-the-reason-for

🔥86❤26👀15🙏10💯9🤡3

Signed Kyle Becker

6 Nov 2026, 01:33 UTC≈6,070 views191 reactionsread 12 November 2026
Forwarded from @beckernews

Did the Democrats ‘Mess with Texas’? The Stunning New Election Data “But some of the most astonishing numbers came out of Texas, and the more closely you examine them, the more disturbing the picture becomes.” https://www.beckerbrief.com/p/did-the-democrats-mess-with-texas

😈108💯50🙏9❤7🤣7🤯4🥱4🤡1

Signed Kyle Becker

5 Nov 2026, 21:42 UTC≈6,310 views178 reactionsread 12 November 2026
Forwarded from @beckernews

Did Democrats mess with Texas? None of this adds up: https://www.youtube.com/watch?v=_GZILj1bqHM

💯123🔥32🤬9🙏6🤡5👍1👎1😡1

Signed Kyle Becker

5 Nov 2026, 01:41 UTC≈6,880 views242 reactionsread 12 November 2026
Forwarded from @beckernews

Big Problem With Texas Election Data — Nothing Is Adding Up https://www.thekylebecker.com/p/big-problem-with-texas-election-data

🔥116🤬78🤡22🤔10🙏8👏4❤3👎1

Signed Kyle Becker

30 Oct 2026, 01:36 UTC≈10,900 views131 reactionsread 12 November 2026
Forwarded from @beckernews

Something Disturbing Is Going On Around the World. Now Governments Are Warning of a Global ‘Emergency.’ “Don’t wait for the emergency: prepare now!” https://thekylebecker.substack.com/p/something-disturbing-is-going-on

🙏78🤡29🤔13👎7❤3👏1

Signed Kyle Becker

20 Oct 2026, 23:37 UTC≈13,200 views186 reactionsread 12 November 2026
Forwarded from @beckernews

COVID Was ‘Just the Beginning’: New Biden-Era Documents Reveal Mass Censorship Plans “May be worth emphasizing that you don’t just see this as a COVID-related issue...” https://www.thekylebecker.com/p/covid-was-just-the-beginning-new

😈144🤯16💊11❤8🤡4👍2🥱1

Signed Kyle Becker

Showing the 12 most recent of 85 posts we hold for @covidtruthnet. 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

Named by 4 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.

Robert W Malone, MD
@RWMaloneMD · 102,955
#1
COVID-19 Up
@COVID19Up · 25,474
#2
Expose The Agenda
@ETAgenda · 15,698
#3
World Doctors Alliance
@worlddoctorsalliance · 74,706
#4
The Daily Pulse
@TDailyPulse · 11,717
#5
Dr David Martin
@DrDavidMartin · 49,760
#6
1984 Prevention Team
@prevent1984 · 7,876
#7
Dr. Paul Marik
@DrPaulMarik · 9,692
#8
Becker News
@beckernews · 27,299
#9
Health Ranger
@RealHealthRanger · 62,372
#10
The Exposé News (Official)
@dailyexpose · 27,479
#11
RealTimeNews™
@dailyrealtimenews · 19,111
#12
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 18,812
#13
The Vigilant Fox 🦊
@VigilantFox · 118,562
#14
KanekoaTheGreat
@KanekoaTheGreat · 113,959
#15
Disclose.tv
@disclosetv · 316,528
#16
Robin Monotti
@robinmg · 66,867
#17
BioClandestine
@bioclandestine · 137,559
#18
X22 Report Official
@realx22report · 157,305
#19
Jack Posobiec
@Jack_Posobiec · 113,696
#20
Gateway Pundit
@gatewaypunditofficial · 108,059
#21
Tucker Carlson
@TuckerCarlsonNetwork · 202,401
#22
We The Media
@WeTheMedia · 139,530
#23
Children’s Health Defense
@childrenshd · 52,345
#24
Donald J. Trump
@real_donaldjtrump · 579,193
#25
World Council for Health
@wch_org · 33,944
#26
Mikki Willis Official
@OfficialPlandemic · 32,549
#27
LauraAboli
@LauraAbolichannel · 165,156
#28
GEORGENEWS
@georgenews · 140,630
#29
Resist the Mainstream
@ResisttheMainstream · 126,134
#30
Intel Slava
@intelslava · 385,254
#31
⚡️ 🇺🇸 Sidney Powell 🇺🇸 🗽
@SidneyPowell · 122,474
#32
TheStormHasArrived17
@TheStormHasArrived17 · 89,333
#33
Ron Watkins [CodeMonkeyZ]
@CodeMonkeyZ · 122,497
#34
Captain Keshel and Co. American Election Integrity HQ
@ElectionHQ2024 · 67,537
#35
Dr. Tenpenny
@DrTenpenny · 87,431
#36
The General
@GeneralMCNews · 142,298
#37
Dr. Simon
@goddek · 38,268
#38
Project Veritas
@project_veritas · 200,046
#39
The Conspiracy Hole
@TheConspiracyHole · 104,222
#40
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,912
#41
💊 ℝ𝕖𝕕.ℙ𝕚𝕝𝕝.ℙ𝕙𝕒𝕣𝕞𝕒𝕔𝕚𝕤𝕥 💊
@RPPharmacistOfficial · 50,352
#42
Q) The Storm Rider /Official Page
@qthestormrider777 · 152,631
#43
Rise of the New Media - Brian Cates
@riseofthenewmedia · 17,837
#44
Dr. Simone Gold
@DrSimoneGold · 78,798
#45
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 109,567
#46
Zeee Media 🎙
@zeeemedia · 53,537
#47
Steve Kirsch Channel
@stkirsch · 18,787
#48
One America News Network
@OANNTV · 140,427
#49
WarRoom: Official Telegram Channel
@BannonWarRoom · 50,454
#50
TWP
@TheWashingtonPundit · 5,442
#51
Insider Paper
@insiderpaper · 107,803
#52
Dr. Shankara Chetty
@ShankaraChetty · 5,180
#53
il Donaldo Trumpo
@RealDonaldoTrumpo · 154,365
#54
David Avocado Wolfe
@davidavocadowolfe · 101,346
#55
Edward Dowd
@EdwardDowdReal · 5,212
#56
Stew Peters ✝️🇺🇸
@stewpeters · 132,267
#57
The Babylon Bee
@TheBabylonBee · 92,096
#58
OffGuardian (official)
@offguardian · 8,527
#59
Raheem Kassam
@RaheemKassam · 7,641
#60
The Western Journal
@WesternJournal · 49,512
#61
USMortality
@usmortality · 6,471
#62
Edward Dowd
@Edward_Dowd · 12,236
#63
The Epoch Times
@epochtimes · 124,468
#64
Liz Harrington
@LizHarrington76 · 22,241
#65
COVID VACCINE VICTIMS AND FAMILIES
@covid19vaccinevictims · 37,627
#66
CognitiveCarbon Public
@CognitiveCarbonPublic · 11,060
#67
General Flynn ️
@RealGenFlynn · 144,697
#68
ULTRA Pepe Lives Matter 🐸
@PepeMatter · 142,073
#69
Charlie Kirk
@CharlieKirk · 147,474
#70
James O'Keefe
@JamesOKeefeIII · 162,141
#71
Donald Trump Jr
@TrumpJr · 345,367
#72
Independent Medical Alliance
@IMA_Health · 30,939
#73
Praying Medic
@praying_medic · 95,387
#74
The Awakened Species ☀️
@awakenedspecies · 139,891
#75
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,207
#76
Shadow of Ezra
@ShadowofEzra · 144,534
#77
Tommy Robinson News
@TommyRobinsonNews · 74,231
#78
Dan Bongino
@DBongino · 103,060
#79
Right Side Broadcasting Network (RSBN)
@rsbnetwork · 100,010
#80
Dan Scavino FORCE🇺🇸🦅
@DanScavinoFORCE · 88,063
#81
ANN VANDERSTEEL CHANNEL
@AnnVandersteelTruth · 28,625
#82
Jeffrey Peterson - jeff.pro
@jeffdotpro · 23,703
#83

Read from Telegram’s recommendation API, most recently 22 August 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.

COVID-19 Up
@COVID19Up · 25,474
Telegram ranks this channel #8 of 79 here — alongside 78 others — read 13 September 2026
Robert W Malone, MD
@RWMaloneMD · 102,955
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 15 August 2026
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 18,812
Telegram ranks this channel #15 of 80 here — alongside 79 others — read 3 October 2026
Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff
@DrLynnFynn · 23,881
Telegram ranks this channel #16 of 84 here — alongside 83 others — read 16 September 2026
Becker News
@beckernews · 27,299
Telegram ranks this channel #16 of 90 here — alongside 89 others — read 9 September 2026
The TRUTH About Cancer | Vaccines
@TheTruthAboutCancer_Vaccines · 28,288
Telegram ranks this channel #23 of 74 here — alongside 73 others — read 8 September 2026
Wide Awake Media - Official Channel
@realwideawakemedia · 36,427
Telegram ranks this channel #24 of 84 here — alongside 83 others — read 1 September 2026
World Doctors Alliance
@worlddoctorsalliance · 74,706
Telegram ranks this channel #26 of 88 here — alongside 87 others — read 19 August 2026
Mikki Willis Official
@OfficialPlandemic · 32,549
Telegram ranks this channel #32 of 85 here — alongside 84 others — read 4 September 2026
Dr. Simon
@goddek · 38,268
Telegram ranks this channel #32 of 87 here — alongside 86 others — read 30 August 2026
CRAIG KELLY - Keeping the bastards honest.
@craigkelly · 26,765
Telegram ranks this channel #35 of 79 here — alongside 78 others — read 10 September 2026
Dr David Martin
@DrDavidMartin · 49,760
Telegram ranks this channel #35 of 82 here — alongside 81 others — read 25 August 2026
Steve Kirsch Channel
@stkirsch · 18,787
Telegram ranks this channel #39 of 88 here — alongside 87 others — read 3 October 2026
The Exposé News (Official)
@dailyexpose · 27,479
Telegram ranks this channel #39 of 83 here — alongside 82 others — read 10 September 2026
Jonathan Otto - Health Secret
@jonathanottohealth · 28,702
Telegram ranks this channel #48 of 74 here — alongside 73 others — read 8 September 2026
COVID VACCINE VICTIMS AND FAMILIES
@covid19vaccinevictims · 37,627
Telegram ranks this channel #51 of 69 here — alongside 68 others — read 31 August 2026
KanekoaTheGreat
@KanekoaTheGreat · 113,959
Telegram ranks this channel #51 of 80 here — alongside 79 others — read 14 August 2026
Dr. Simone Gold
@DrSimoneGold · 78,798
Telegram ranks this channel #52 of 89 here — alongside 88 others — read 18 August 2026
World Council for Health
@wch_org · 33,944
Telegram ranks this channel #53 of 87 here — alongside 86 others — read 2 September 2026
Robin Monotti
@robinmg · 66,867
Telegram ranks this channel #55 of 90 here — alongside 89 others — read 20 August 2026
Dr Jane Ruby
@DrJaneRuby · 56,991
Telegram ranks this channel #59 of 81 here — alongside 80 others — read 22 August 2026
Project Veritas
@project_veritas · 200,046
Telegram ranks this channel #63 of 87 here — alongside 86 others — read 11 August 2026
Ron Watkins [CodeMonkeyZ]
@CodeMonkeyZ · 122,497
Telegram ranks this channel #65 of 76 here — alongside 75 others — read 13 August 2026
⚡️ 🇺🇸 Sidney Powell 🇺🇸 🗽
@SidneyPowell · 122,474
Telegram ranks this channel #65 of 87 here — alongside 86 others — read 13 August 2026

This channel appears in 43 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.

“Covid Truth Network” (@covidtruthnet), 57,372 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/covidtruthnet.

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.