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Channel

Peter A. McCullough, MD, MPH™

@P_McCulloughMD

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

15,500subscribers

-84 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-1001500903887
TypeChannel
Username@P_McCulloughMD
DescriptionPhysician, author, news commenator, pandemic response, civil liberties, and path forward, www.petermcculloughmd.com
Created2 October 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held56
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/P_McCulloughMD

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 50% 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 word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@P_McCulloughMD/25685 · this entry5 Aug 2026, 17:06 UTC@PeterMcCulloughMD/130675 Aug 2026, 17:10 UTC0.984 minutes
@P_McCulloughMD/25714 · this entry7 Aug 2026, 12:59 UTC@PeterMcCulloughMD/130947 Aug 2026, 13:03 UTC0.984 minutes
@P_McCulloughMD/25697 · this entry6 Aug 2026, 12:59 UTC@PeterMcCulloughMD/130776 Aug 2026, 13:03 UTC0.984 minutes
@P_McCulloughMD/25689 · this entry5 Aug 2026, 22:42 UTC@PeterMcCulloughMD/130715 Aug 2026, 22:46 UTC0.983 minutes
@P_McCulloughMD/25708 · this entry6 Aug 2026, 23:17 UTC@PeterMcCulloughMD/130886 Aug 2026, 23:21 UTC0.953 minutes
@P_McCulloughMD/25699 · this entry6 Aug 2026, 15:12 UTC@PeterMcCulloughMD/130796 Aug 2026, 15:16 UTC0.954 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@PeterMcCulloughMD12 (8/8 hand-verifiable sample passed)0.964 minutesthis entry (12–0)

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 44 comparable posts for this entry, running 4 August 2026 to 8 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @P_McCulloughMD — 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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

15,49015,58415,5376 August 2026 — 15,584 subscribers6 August 2026 — 15,584 subscribers6 August 2026 — 15,583 subscribers7 August 2026 — 15,581 subscribers8 August 2026 — 15,579 subscribers9 August 2026 — 15,577 subscribers11 August 2026 — 15,574 subscribers12 August 2026 — 15,573 subscribers13 August 2026 — 15,574 subscribers15 August 2026 — 15,571 subscribers16 August 2026 — 15,569 subscribers17 August 2026 — 15,568 subscribers18 August 2026 — 15,566 subscribers19 August 2026 — 15,565 subscribers20 August 2026 — 15,567 subscribers22 August 2026 — 15,558 subscribers24 August 2026 — 15,548 subscribers25 August 2026 — 15,547 subscribers26 August 2026 — 15,544 subscribers27 August 2026 — 15,546 subscribers29 August 2026 — 15,544 subscribers30 August 2026 — 15,538 subscribers31 August 2026 — 15,549 subscribers1 September 2026 — 15,548 subscribers3 September 2026 — 15,550 subscribers5 September 2026 — 15,549 subscribers8 September 2026 — 15,545 subscribers11 September 2026 — 15,543 subscribers14 September 2026 — 15,542 subscribers16 September 2026 — 15,540 subscribers19 September 2026 — 15,539 subscribers25 September 2026 — 15,525 subscribers4 October 2026 — 15,507 subscribers8 October 2026 — 15,500 subscribers13 October 2026 — 15,490 subscribers14 October 2026 — 15,494 subscribers15 October 2026 — 15,492 subscribers16 October 2026 — 15,501 subscribers17 October 2026 — 15,506 subscribers18 October 2026 — 15,501 subscribers20 October 2026 — 15,505 subscribers21 October 2026 — 15,507 subscribers22 October 2026 — 15,513 subscribers24 October 2026 — 15,505 subscribers24 October 2026 — 15,499 subscribers26 October 2026 — 15,498 subscribers26 October 2026 — 15,497 subscribers27 October 2026 — 15,505 subscribers28 October 2026 — 15,501 subscribers29 October 2026 — 15,500 subscribers31 October 2026 — 15,501 subscribers1 November 2026 — 15,508 subscribers2 November 2026 — 15,507 subscribers3 November 2026 — 15,509 subscribers4 November 2026 — 15,503 subscribers5 November 2026 — 15,500 subscribers15,5006 August 20265 November 2026
56 measurements spanning 91 days, net -84. 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 15,476–15,598 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
5 Nov 2026, 13:4615,500-3
4 Nov 2026, 15:3115,503-6
3 Nov 2026, 18:2015,509+2
2 Nov 2026, 15:5415,507-1
1 Nov 2026, 17:3715,508+7
31 Oct 2026, 17:0115,501+1
29 Oct 2026, 20:5415,500-1
28 Oct 2026, 23:2015,501-4
27 Oct 2026, 23:5915,505+8
26 Oct 2026, 21:1815,497-1
26 Oct 2026, 00:3815,498-1
24 Oct 2026, 22:1615,499-6
24 Oct 2026, 01:1015,505-8
22 Oct 2026, 22:0715,513+6
21 Oct 2026, 18:1115,507+2
20 Oct 2026, 14:4515,505+4
18 Oct 2026, 08:5015,501-5
17 Oct 2026, 05:1815,506+5
16 Oct 2026, 07:1115,501+9
15 Oct 2026, 09:5415,492first reading

Engagement

316 posts held, back to 4 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 60 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.47%
avg views ÷ 15,500 subscribers
Avg views / post
692
47 posts measured
Reaction rate
1.77%
reactions ÷ views · ER floor
Posts in window
47
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. It is computed over the 46 of 47 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held316 (4 August 2026 – 5 November 2026)
Views total32,535
Reactions total570
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 17:19 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
≈13,500
Videos
≈9,050
Links
≈5,720

Lifetime counters from Telegram’s own channel header, read 5 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
9h 15m
Average length
3m 28s

Measured directly from 160 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

6,596 reactions across 297 posts, in 29 distinct kinds. The most used accounts for 26.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,77626.9%
🤬1,28219.4%
💯1,09216.6%
❤4616.99%
🔥3955.99%
🙏3675.56%
⚡2433.68%
👏2103.18%
🤮1622.46%
👀901.36%
🤯841.27%
😢791.20%
🎉530.804%
🤡510.773%
👎500.758%
🤔450.682%
😱290.44%
😨260.394%
😭260.394%
🥴250.379%
9 further kinds500.758%

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 314 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 6,979 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 4 August 2026 to 5 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 47 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).

5 Nov 2026, 17:07 UTC46 views1 reactionsread 5 November 2026
Photo

Any reasonable doctor would be concerned that early onset stroke could be linked to COVID-19 vaccination, specially if it was coadministered with the flu shot. Courtesy NewsMax. @P_McCulloughMD

🥰1

5 Nov 2026, 16:18 UTC156 views5 reactionsread 5 November 2026
Photo

Will the new Senate Democratic majority hold hearings on the impact of COVID-19 vaccine induced stroke? @P_McCulloughMD

❤5

5 Nov 2026, 15:13 UTC253 views3 reactionsread 5 November 2026
Video

Will Senate Democrats wake up to the reality of ongoing COVID-19 vaccine injuries and get these dangerous products off the market? @P_McCulloughMD

👎3

5 Nov 2026, 14:10 UTC341 viewsread 5 November 2026
Photo

Vaccine Injured US Senate Minority has Just Flipped US House of Representatives and Senate turn blue in disappointing loss for Republicans; what does that mean for the health freedom movement? https://www.thefocalpoints.com/p/vaccine-injured-us-senate-minority @P_McCulloughMD

5 Nov 2026, 13:03 UTC459 views21 reactionsread 5 November 2026
Video

We just uncovered the SMOKING GUN for turbo cancer… In a baseball-sized TURBO HEART CANCER with a doubling time of just 240 HOURS, we found Pfizer COVID shot DNA INSIDE the tumor. Just as a murderer is arrested once his gun is found at the crime scene, there’s now ample evidence to PROSECUTE those responsible. @P_McCulloughMD

💯19🔥2

5 Nov 2026, 00:42 UTC801 views6 reactionsread 5 November 2026
Photo

Subacute Sclerosing Panencephalitis and Profound Autism: A Comparative Analysis of Two Post-Encephalitic Neurodevelopmental States Shared phenotypic features, clinical challenges, and pathophysiological overlap following measles virus exposure and combination vaccination with live attenuated measles virions. https://www.thefocalpoints.com/p/subacute-sclerosing-panencephalitis @P_McCulloughMD

👏5❤1

5 Nov 2026, 00:10 UTC720 views24 reactionsread 5 November 2026
Video

Years of people getting sick and dying from the COVID “vaccines” — without being diagnosed as “C-19 genetic vaccine injuries,” nor being treated for the underlying cause, and with danger signals buried. That is the perpetrators’ working plan to cover up this global mass medical assault and murder. @P_McCulloughMD

🤬20👍3⚡1

4 Nov 2026, 23:40 UTC695 views17 reactionsread 5 November 2026

So sad that few are noticing all the young performers- singers, musicians, actors- who are dying prematurely. Definition of "SCIENCE" would be to see pattern and investigate. There is a pattern. All of them had to take Covid jab to get onto any stage, or walk into any TV/movie set. No choice. Now record deaths from cancer/heart attacks/strokes/MS/Lou Gehrigs disease/Parkinsons. Chickens coming home to roost. There is…

👍8😢8🤬1

4 Nov 2026, 23:05 UTC677 views23 reactionsread 5 November 2026
Photo

The ‘athletes dying suddenly’ carnage continues… “NYC Marathon runner Rachel Apa, 24, dies after collapsing in Central Park” If the media was honest…this would have 24/7 coverage as to why this is happening… @P_McCulloughMD

🤬12❤7👍2😭2

4 Nov 2026, 22:35 UTC657 views12 reactionsread 5 November 2026
Video

Numbness in One Arm Is a Stroke Until Proven Otherwise Sudden one-sided weakness or numbness. Trouble speaking. Face droop. Vision loss. Loss of balance. Worst headache of your life. Any one of them: CALL 911. Not wait and see. Clot-dissolving treatment works inside a window measured in HOURS from symptom onset, and thrombectomy has its own. Every minute costs brain that doesn’t come back. NOTE THE TIME SYMPTOMS STA…

👍8💯4

4 Nov 2026, 21:55 UTC695 views18 reactionsread 5 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 …

👍10🔥6❤1😢1

4 Nov 2026, 19:11 UTC766 views7 reactionsread 5 November 2026
Video

My stress used to feel like a full-body alarm I couldn’t switch off. 😳 Then I added ONE simple thing to my daily routine… 🔴 20 minutes a day on this Red Light Therapy Mat — paired with breathwork, stretching, and a few quiet minutes to reset. No complicated routine. No leaving the house. Just lie down, switch it on, and RELAX. ✨ Red Light Therapy has become one of my favorite parts of my daily wellness routine — es…

🤡3❤2🥴2

Showing the 12 most recent of 316 posts we hold for @P_McCulloughMD. 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.

Fauci Ouchy Files
@fauci_ouchy_docs · 77
6 posts
💛 AVV Vaccinatieschade 💛 Alliantie voor Vrijheid
@AVVvaccinatieschade · 6,425
5 posts
NoGreatReset
@coNvid1984exposed · 163
4 posts
sara fumagalli
@sara_fumagalli · 131
4 posts
Dr Scott Jensen
@DrScottJensen · 882
3 posts
Dr Naomi Wolf
@NaomiWolfDr · 24,715
3 posts
antibody dependent enhancement (ADE) Vaccine Induced Enhancement Immun-Priming Super-Priming-Cytokine-Storm V-AIDS TURBO cancer
@antibodydependentenhancement · 1,572
3 posts
Dr. Martin Kulldorff
@MartinKulldorf · 2,893
2 posts
Robin Monotti
@robinmg · 66,983
2 posts
Treffpunkt für Bewusstein😊
@treffpunktungeimpfte · 439
2 posts
🇺🇸True Patriot🇺🇸Trish🇺🇸
@truepatriotwarrior · 52
2 posts
World Doctors Alliance
@worlddoctorsalliance · 74,892
2 posts
🇨🇦 CHD CANADA 🇨🇦
@CHDCanada · 487
1 post
Dr. Leonard Horowitz
@DrHorowitz · 156
1 post
Dr. rer. nat. Kay Klapproth
@DrKayKlapproth · 2,148
1 post
⁉️💉Individuelle_Impfentscheidung_💉⁉️
@Individuelle_Impfentscheidung · 900
1 post
Kari Lake
@KariLakeAZ · 1,939
1 post
Dr. Marsh
@MarshOrtho · 119
1 post
Natalie Winters
@NatalieWinters · 2,714
1 post
Peter Navarro
@RealPNavarro · 611
1 post
Scott McKay | Patriot Streetfighter
@ScottMcKay · 23,397
1 post
Ann Sorrell
@classicalhomeopath · 23
1 post
Covid-Injektion & Co. Sicherheit - Wirksamkeit - Notwendigkeit
@covidimpf · 14,115
1 post
Covid Truth Network
@covidtruthnet · 57,570
1 post
🔥Ковид Сопротивление - Эстония🔥
@est_soprotivlenie · 334
1 post
Frank Kollogé
@frankkolloge · 9
1 post
Hold Fast
@holdfastptbo · 23
1 post
Nalubamba Chiefdom
@nalubamba · 2
1 post
open your 👁
@oye_english · 43
1 post
RA/Avv. DDr. Renate Holzeisen
@renateholzeisen · 33,578
1 post
Ryan's Musings
@ryansmusings · 26
1 post
Taboo Topics
@tabootop · 15
1 post
200+ docs
@the100docs · 53
1 post

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 57 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.

Named by

Channels on the register whose posts name this channel's handle.

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.

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.

Robert W Malone, MD
@RWMaloneMD · 103,294
Telegram ranks this channel #9 of 89 here — alongside 88 others — read 15 August 2026
Dr Mike Yeadon
@DrMikeYeadon · 26,885
Telegram ranks this channel #10 of 87 here — alongside 86 others — read 11 September 2026
Dr Naomi Wolf
@NaomiWolfDr · 24,715
Telegram ranks this channel #12 of 87 here — alongside 86 others — read 14 September 2026
Covid Vaccine Injuries
@covid_vaccine_injuries · 24,650
Telegram ranks this channel #13 of 73 here — alongside 72 others — read 14 September 2026
Dr. Mercola
@DoctorMercola · 30,881
Telegram ranks this channel #13 of 77 here — alongside 76 others — read 5 September 2026
Independent Medical Alliance
@IMA_Health · 31,038
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 5 September 2026
Dr. Bryan Ardis
@BryanArdis · 36,525
Telegram ranks this channel #16 of 73 here — alongside 72 others — read 1 September 2026
Dr David Martin
@DrDavidMartin · 49,824
Telegram ranks this channel #16 of 82 here — alongside 81 others — read 25 August 2026
Steve Kirsch Channel
@stkirsch · 18,862
Telegram ranks this channel #22 of 88 here — alongside 87 others — read 3 October 2026
COVID VACCINE VICTIMS AND FAMILIES
@covid19vaccinevictims · 37,702
Telegram ranks this channel #25 of 69 here — alongside 68 others — read 31 August 2026
Dr. Judy Mikovits
@dr_judymikovitss · 25,268
Telegram ranks this channel #27 of 82 here — alongside 81 others — read 14 September 2026
Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff
@DrLynnFynn · 23,939
Telegram ranks this channel #36 of 84 here — alongside 83 others — read 16 September 2026
Children’s Health Defense
@childrenshd · 52,501
Telegram ranks this channel #36 of 91 here — alongside 90 others — read 24 August 2026
The Exposé News (Official)
@dailyexpose · 27,527
Telegram ranks this channel #41 of 83 here — alongside 82 others — read 10 September 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,432
Telegram ranks this channel #43 of 91 here — alongside 90 others — read 18 August 2026
🇨🇦 Private Canadian News 🇨🇦
@PrivateCanadianNews · 19,696
Telegram ranks this channel #48 of 62 here — alongside 61 others — read 29 September 2026
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,908
Telegram ranks this channel #50 of 89 here — alongside 88 others — read 13 September 2026
World Council for Health
@wch_org · 34,035
Telegram ranks this channel #50 of 87 here — alongside 86 others — read 2 September 2026
Christine Anderson, MdEP (AfD)
@christineanderson · 34,986
Telegram ranks this channel #53 of 86 here — alongside 85 others — read 2 September 2026
World Doctors Alliance
@worlddoctorsalliance · 74,892
Telegram ranks this channel #60 of 88 here — alongside 87 others — read 19 August 2026

This channel appears in 20 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“Peter A. McCullough, MD, MPH™” (@P_McCulloughMD), 15,500 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/P_McCulloughMD.

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.