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Channel

Dr Mike Yeadon

@DrMikeYeadon

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

26,842subscribers

-856 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-1001490967900
TypeChannel
Username@DrMikeYeadon
DescriptionThe only former pharma company research exec telling truth about covid lies. Highly qualified in respiratory, immunology, all areas of new drug R&D.
Created13 July 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 November 2026
Measurements held67
Confirmed unchanged1 time, most recently 13 November 2026
On Telegramt.me/DrMikeYeadon

Topic

Health & wellness — 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 76% 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 2 other registered channels. This entry also sits inside a group of 5 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
@DrMikeYeadonsolochannel/542731 Aug 2026, 07:32 UTC@DrMikeYeadon/6265 · this entry31 Aug 2026, 07:48 UTC0.9916 minutes
@DrMikeYeadonsolochannel/560715 Oct 2026, 04:00 UTC@DrMikeYeadon/6421 · this entry15 Oct 2026, 05:05 UTC0.9965 minutes
@DrMikeYeadonsolochannel/55735 Oct 2026, 12:21 UTC@DrMikeYeadon/6389 · this entry5 Oct 2026, 16:29 UTC0.984.1 hours
@DrMikeYeadonsolochannel/539120 Aug 2026, 04:11 UTC@DrMikeYeadon/6236 · this entry20 Aug 2026, 18:40 UTC0.9814 hours
@DrMikeYeadonsolochannel/57429 Nov 2026, 08:40 UTC@DrMikeYeadon/6537 · this entry9 Nov 2026, 16:55 UTC0.988.3 hours
@DrMikeYeadonsolochannel/564121 Oct 2026, 09:54 UTC@DrMikeYeadon/6451 · this entry21 Oct 2026, 13:03 UTC0.963.1 hours
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
@DrMikeYeadonsolochannel122 (8/8 hand-verifiable sample passed)0.974.1 hours@DrMikeYeadonsolochannel (122–0)
@BryanArdis5 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (5–0)

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. 115 of the 122 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 302 comparable posts for this entry, running 31 July 2026 to 14 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 5 channels, the one whose matching posts we hold earliest is @ReinerFuellmichEnglish. 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 keys clone_copy · clone_source, last confirmed 15 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 5 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

26,84227,69827,2706 August 202613 November 2026
67 measurements spanning 99 days, net -856. 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 26,714–27,826 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 67
Measured (UTC)SubscribersChange
13 Nov 2026, 03:2026,842-8
10 Nov 2026, 17:0826,850-9
9 Nov 2026, 02:5626,859-15
7 Nov 2026, 16:5426,874-7
6 Nov 2026, 17:1526,881-4
5 Nov 2026, 18:0926,885-7
4 Nov 2026, 21:3626,892-10
3 Nov 2026, 18:2026,902-4
2 Nov 2026, 20:2726,906-6
1 Nov 2026, 21:3126,912-3
31 Oct 2026, 23:5626,915-9
31 Oct 2026, 00:4626,924-2
29 Oct 2026, 23:1926,926-5
29 Oct 2026, 01:1926,931+2
28 Oct 2026, 02:3826,929-10
27 Oct 2026, 01:4726,939+1
26 Oct 2026, 02:3626,938-8
25 Oct 2026, 02:0526,946-1
24 Oct 2026, 00:3426,947+3
22 Oct 2026, 22:1026,944first reading

Engagement

316 posts held, back to 30 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 160 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.73%
avg views ÷ 26,842 subscribers
Avg views / post
1,270
119 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
119
of 316 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 14 November 2026
Posts held316 (30 July 2026 – 14 November 2026)
Views total151,003
Reactions total3,064
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 05:30 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
≈2,000
Videos
≈840
Links
≈5,490

Lifetime counters from Telegram’s own channel header, read 15 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
1h 20m
Average length
4m 13s

Measured directly from 19 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

9,706 reactions across 316 posts, in 25 distinct kinds. The most used accounts for 32.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍3,16632.6%
❤2,24223.1%
💯1,76018.1%
🤬6696.89%
🔥3703.81%
🙏3163.26%
👏2522.60%
🤔1911.97%
🤣1501.55%
😡1381.42%
👀780.804%
👎630.649%
🤮630.649%
🤡550.567%
😢460.474%
😁360.371%
😱310.319%
🥴240.247%
🤯170.175%
👌120.124%
5 further kinds270.278%

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 316 of the 316 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 9,706 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 316 most recent posts we hold, published 30 July 2026 to 14 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.

Telegram Stars

Stars received
12
across the posts below
Posts paid on
9
of 316 we hold a reading for · 3%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DrMikeYeadon. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 316 most recent posts we hold for this entry, published 30 July 2026 to 14 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 14 of 119 posts held from the last 30 days (11.8%) 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).

14 Nov 2026, 15:24 UTC839 views18 reactionsread 15 November 2026

Found these installed in the pedestrian high street in an east Kent town. I’m not sure what threat is thought to require management, but it’s probably people like me. Best wishes Mike Ps: do note if you encounter these, they use simple pull pins to hold them together. Pull a lot of pins and they’ll be a pile of poles and bits lying on the ground. I call that “Uncalled for and inappropriate street object management”…

❤10👀5🤔2👍1

14 Nov 2026, 13:31 UTC944 views28 reactionsread 15 November 2026

https://youtu.be/gxgDkKlVUnU I can’t repeat my urging too many times. Modern cars are designed with the intention that they’ll be uneconomic to continue maintaining them long before much of it is worn out. In this AI generated video, which so far seems accurate to me, there’s a long list of popular cars that are going to break their owners hearts and wallets. In other news, I’m hearing of a wave of bankruptcies o…

👍16❤7💯3👎1🔥1

14 Nov 2026, 13:31 UTC858 views18 reactionsread 15 November 2026

https://youtube.com/shorts/aQRuOSh0PN4 Not an easy message to accept here, but it seems correct. Best wishes Mike 👉 https://t.me/DrMikeYeadon

👍13💯4❤1

13 Nov 2026, 13:52 UTC≈1,570 views57 reactionsread 15 November 2026

A further comment on the gathering outages. It does indeed feel like the “predictions” of that obvious Bond-villain type, Klaus Schwab, are coming to pass. Recall that, among other things, he said “We must prepare for an angrier world” & “We expect that several things could happen at the same time, which I call a “Polycrisis”. Even in my early stages of realisation that we were being lied to (about the fakedemic), I…

💯30❤11👍11👏4👀1

13 Nov 2026, 13:52 UTC≈1,110 views28 reactionsread 15 November 2026

https://www.thesovereignindependent.com/article/let-the-panic-begin Why does it seem like governments all around Europe, America and elsewhere are slapping their populations around the head with one fear provoking warning after another? Isn’t that kind of behaviour classified as terrorism if you or I were to act in this way? Surely, an ever-growing proportion of the population must realise that what’s reportedly g…

💯22👀4👍2

13 Nov 2026, 13:52 UTC≈1,060 views16 reactionsread 15 November 2026

https://youtube.com/shorts/fguBuInb7VQ I don’t know if this is genuine, but it’s so wholesome that it doesn’t matter. Sincerely, Mike 👉 https://t.me/DrMikeYeadon

❤9👍7

13 Nov 2026, 02:26 UTC≈1,200 views26 reactionsread 15 November 2026
Photo

https://youtu.be/iGHQZ-zTRFo Really good to see Jerm and Sasha Latypova in conversation again. Very good natured and relaxed exchange while retaining laser focus on what the case in a Netherlands court is and is not. Best wishes Mike 👉 https://t.me/DrMikeYeadon

❤13🙏8💯4🤬1

13 Nov 2026, 02:23 UTC≈1,170 views20 reactionsread 15 November 2026

https://youtu.be/zhYDiJedza8 I enjoyed this apocryphal story told by Steven A Young. I am also unconcerned about being wrong. In fact, it would be brilliant if everything I’ve determined or deduced is bad for us is an error on my part. If anyone would show that I’m wrong, and especially why I’m wrong, I too would seek out whoever discovered the error of my judgments and thank them. “At least I now know the truth”. …

👏15❤2👍2🤬1

11 Nov 2026, 16:38 UTC≈1,370 views14 reactionsread 15 November 2026

https://youtu.be/pJikz9MYJoc Funnily enough, this guy, like Jeremy Nell, must have missed all the totalitarian tyranny during his visit to China. I’m not a China fan. I’m just sceptical about things I cannot verify these days. Best wishes Mike 👉 https://t.me/DrMikeYeadon

🔥9❤3🤬2

11 Nov 2026, 16:37 UTC≈1,300 views21 reactionsread 15 November 2026

https://youtu.be/OtawH3PPixE This is superb! wait until you find out how they start up a nuclear reactor. I nearly fell about. It’s about the most obvious lie I’ve heard since “global climate boiling change”. Best wishes Mike Ps: next, a Californium confirmation fund? 👉 https://t.me/DrMikeYeadon

👍20🤬1

11 Nov 2026, 16:36 UTC≈1,160 views19 reactionsread 15 November 2026

https://youtu.be/U3RuzqMcABc Anyone recently to the news that popular music (as one of many media examples) has been used to socially engineer the masses since 1955, you will find this interesting. Best wishes Mike 👉 https://t.me/DrMikeYeadon

👍12❤5🤬2

11 Nov 2026, 16:36 UTC≈1,150 views16 reactionsread 15 November 2026
Photo

https://youtu.be/mL-UXRXzioE A little bit of news about Geoff Buys Cars and him being sued by a dodgy classic car auctioneer. Looks like they are preparing to abandon the case imo. He’s driving home to the midlands in an ageing Volvo (what else?) acquired in Glasgow. No power steering, lambda sensor failure but otherwise a sound drivetrain and brakes. Indomitable vehicles. Except for rust. A couple of messages, on…

👍10❤5🤬1

Showing the 12 most recent of 316 posts we hold for @DrMikeYeadon. 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 recorded as deleted after publishing

We recorded 1 post on @DrMikeYeadon as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
18 August 2026
Most recent seen missing
18 August 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
0

Forward network

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 21 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.

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
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@IMA_Health · 30,939
#64
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 109,461
#65
Insider Paper
@insiderpaper · 107,765
#66
David Icke Official Telegram
@davidickeofficial · 42,220
#67
Real World News
@RealWorldNewsChannel · 24,772
#68
STRANGER THAN FICTION NEWS
@stfn_news · 61,790
#69
Wide Awake Media
@wideawakemedia · 26,566
#70
Health Ranger
@RealHealthRanger · 62,372
#71
Dr. Paul Alexander
@DrPaulAlexander · 8,153
#72
BioClandestine
@bioclandestine · 137,559
#73
Dr Naomi Wolf
@NaomiWolfDr · 24,600
#74
KanekoaTheGreat
@KanekoaTheGreat · 113,691
#75
Cruel History
@cruel_historyy · 102,941
#76
Geopolitics & Empire
@GeopoliticsAndEmpire · 12,478
#77
UNN
@UnityNewsNetwork · 20,298
#78
Senator Ron Johnson
@SenRonJohnsonUS · 7,176
#79
Brownstone Institute
@brownstoneinst · 3,092
#80
Follow The White Rabbit ™ 🐇
@followsthewhiterabbit · 78,787
#81
Christine Anderson, MdEP (AfD)
@christineanderson · 34,916
#82
Wide Awake Media - Official Channel
@realwideawakemedia · 36,382
#83
LA QUINTA COLUMNA TV
@laquintacolumna · 161,096
#84
Covid Truth Network
@covidtruthnet · 57,288
#85
Eastern Approaches—Alex Thomson
@EastApp · 6,159
#86
Disclose.tv
@disclosetv · 316,323
#87

Read from Telegram’s recommendation API, most recently 11 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.

Dr. Bryan Ardis
@BryanArdis · 36,466
Telegram ranks this channel #6 of 73 here — alongside 72 others — read 1 September 2026
Robert W Malone, MD
@RWMaloneMD · 102,955
Telegram ranks this channel #11 of 89 here — alongside 88 others — read 15 August 2026
Dr. Mercola
@DoctorMercola · 30,769
Telegram ranks this channel #15 of 77 here — alongside 76 others — read 5 September 2026
Dr David Martin
@DrDavidMartin · 49,721
Telegram ranks this channel #15 of 82 here — alongside 81 others — read 25 August 2026
Dr Naomi Wolf
@NaomiWolfDr · 24,600
Telegram ranks this channel #18 of 87 here — alongside 86 others — read 14 September 2026
World Council for Health
@wch_org · 33,899
Telegram ranks this channel #18 of 87 here — alongside 86 others — read 2 September 2026
Dr. Simon
@goddek · 38,268
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 30 August 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,207
Telegram ranks this channel #22 of 91 here — alongside 90 others — read 18 August 2026
Steve Kirsch Channel
@stkirsch · 18,787
Telegram ranks this channel #24 of 88 here — alongside 87 others — read 3 October 2026
Dr. Judy Mikovits
@dr_judymikovitss · 25,211
Telegram ranks this channel #24 of 82 here — alongside 81 others — read 14 September 2026
Covid BC (Excess Deaths)
@covidbc · 30,680
Telegram ranks this channel #24 of 64 here — alongside 63 others — read 6 September 2026
Mikki Willis Official
@OfficialPlandemic · 32,513
Telegram ranks this channel #24 of 85 here — alongside 84 others — read 4 September 2026
COVID VACCINE VICTIMS AND FAMILIES
@covid19vaccinevictims · 37,579
Telegram ranks this channel #24 of 69 here — alongside 68 others — read 31 August 2026
Dr Jane Ruby
@DrJaneRuby · 56,916
Telegram ranks this channel #24 of 81 here — alongside 80 others — read 22 August 2026
Christine Anderson, MdEP (AfD)
@christineanderson · 34,916
Telegram ranks this channel #26 of 86 here — alongside 85 others — read 2 September 2026
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 18,786
Telegram ranks this channel #27 of 80 here — alongside 79 others — read 3 October 2026
Lee Merritt MD: FreedomDoc1
@FreedomDoc1 · 24,319
Telegram ranks this channel #30 of 75 here — alongside 74 others — read 16 September 2026
World Doctors Alliance
@worlddoctorsalliance · 74,598
Telegram ranks this channel #31 of 88 here — alongside 87 others — read 19 August 2026
The Exposé News (Official)
@dailyexpose · 27,447
Telegram ranks this channel #34 of 83 here — alongside 82 others — read 10 September 2026
Independent Medical Alliance
@IMA_Health · 30,939
Telegram ranks this channel #34 of 89 here — alongside 88 others — read 5 September 2026
Wide Awake Media - Official Channel
@realwideawakemedia · 36,382
Telegram ranks this channel #37 of 84 here — alongside 83 others — read 1 September 2026
Children’s Health Defense
@childrenshd · 52,271
Telegram ranks this channel #37 of 91 here — alongside 90 others — read 24 August 2026
COVID-19 Up
@COVID19Up · 25,430
Telegram ranks this channel #40 of 79 here — alongside 78 others — read 13 September 2026
David Icke Official Telegram
@davidickeofficial · 42,220
Telegram ranks this channel #58 of 80 here — alongside 79 others — read 28 August 2026

This channel appears in 28 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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“Dr Mike Yeadon” (@DrMikeYeadon), 26,842 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/DrMikeYeadon.

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.