Telegram RegisterThe public register of Telegram
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Channel

Steve Kirsch Channel

@stkirsch

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

18,815subscribers

-866 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-1001619224968
TypeChannel
Username@stkirsch
DescriptionCreated due to Twitter censorship
Created23 October 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/stkirsch

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 85% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@stkirsch/2079 · this entry31 Jul 2026, 00:38 UTC@COVID19_Research_Channel/282031 Jul 2026, 00:38 UTC1.00under a minute
@stkirsch/2080 · this entry1 Aug 2026, 21:47 UTC@COVID19_Research_Channel/28241 Aug 2026, 21:47 UTC1.00under a minute
@stkirsch/2081 · this entry3 Aug 2026, 18:17 UTC@COVID19_Research_Channel/28253 Aug 2026, 18:17 UTC1.00under a minute
@stkirsch/2083 · this entry4 Aug 2026, 06:18 UTC@COVID19_Research_Channel/28294 Aug 2026, 06:18 UTC1.00under a minute
@stkirsch/2085 · this entry5 Aug 2026, 16:44 UTC@COVID19_Research_Channel/28315 Aug 2026, 16:44 UTC1.00under a minute
@stkirsch/2086 · this entry6 Aug 2026, 13:20 UTC@COVID19_Research_Channel/28356 Aug 2026, 13:20 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@COVID19_Research_Channel6 (6/6 hand-verifiable sample passed)1.00under a minute@COVID19_Research_Channel (5–1)

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 5 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 37 comparable posts for this entry, running 17 July 2026 to 8 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 2 channels, the one whose matching posts we hold earliest is @stkirsch — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

18,81519,68119,2486 August 202610 November 2026
65 measurements spanning 96 days, net -866. 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 18,685–19,811 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 14:0618,815-13
8 Nov 2026, 23:1018,828-12
7 Nov 2026, 13:5618,840-19
6 Nov 2026, 12:0118,859-3
5 Nov 2026, 12:0418,862-19
4 Nov 2026, 11:0118,881-16
3 Nov 2026, 13:3818,897-10
2 Nov 2026, 11:1018,907-4
1 Nov 2026, 07:4518,911-9
31 Oct 2026, 11:1518,920-11
30 Oct 2026, 11:5618,931-18
29 Oct 2026, 08:3918,949-14
28 Oct 2026, 03:5918,963+6
27 Oct 2026, 01:5918,957-4
25 Oct 2026, 23:3718,961-7
24 Oct 2026, 20:0818,968-5
23 Oct 2026, 22:1918,973-19
22 Oct 2026, 23:3618,992-6
21 Oct 2026, 21:4618,998-10
20 Oct 2026, 15:2719,008first reading

Engagement

59 posts held, back to 17 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.8%
avg views ÷ 18,815 subscribers
Avg views / post
2,410
7 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
7
of 59 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 10 November 2026
Posts held59 (17 July 2026 – 10 November 2026)
Views total16,898
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 04:05 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
≈15
Videos
≈4
Links
≈2,060

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

Recent posts

Telegram’s own ‘edited’ marker: 0 of 7 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).

10 Nov 2026, 17:11 UTC638 viewsread 11 November 2026

VSRF LIVE TONIGHT: Episode 253: Mikki Willis and Livio Sanchez https://kirschsubstack.com/p/vsrf-live-tonight-episode-253-mikki

8 Nov 2026, 17:52 UTC≈1,820 viewsread 11 November 2026

Levi paper showing Pfizer is a toxic vaccine is now published. And anyone claiming there is “nothing to see here” is intellectually dishonest. https://kirschsubstack.com/p/levi-paper-showing-pfizer-is-a-toxic

3 Nov 2026, 16:53 UTC≈2,210 viewsread 11 November 2026

VSRF LIVE TONIGHT: Episode 252: Kim Witczak and Livio Sanchez https://kirschsubstack.com/p/vsrf-live-tonight-episode-252-kim

27 Oct 2026, 15:45 UTC≈2,890 viewsread 11 November 2026

VSRF LIVE TONIGHT: Episode 251: Aseem Malhotra, MD https://kirschsubstack.com/p/vsrf-live-tonight-episode-251-aseem

20 Oct 2026, 17:17 UTC≈3,260 viewsread 11 November 2026

VSRF LIVE TONIGHT: Episode 250: Ralph Lorigo, Esq. https://kirschsubstack.com/p/vsrf-live-tonight-episode-250-ralph

13 Oct 2026, 19:03 UTC≈3,540 viewsread 11 November 2026

This is why I started VSRF. https://kirschsubstack.com/p/this-is-why-i-started-vsrf

13 Oct 2026, 15:15 UTC≈2,540 viewsread 11 November 2026

VSRF LIVE TONIGHT: Episode 249: Dr. James P. Miller, MD https://kirschsubstack.com/p/vsrf-live-tonight-episode-249-dr

6 Oct 2026, 15:04 UTC≈2,930 viewsread 11 November 2026

VSRF LIVE TONIGHT: Episode 248: Dr. James Thorp, MD https://kirschsubstack.com/p/vsrf-live-tonight-episode-248-dr

6 Oct 2026, 05:15 UTC≈2,700 viewsread 11 November 2026

Parent poll shows nearly 80% of kids who became suddenly autistic had their last normal day on the day they got vaccinated https://kirschsubstack.com/p/parent-poll-shows-nearly-80-of-kids

3 Oct 2026, 03:21 UTC≈2,640 viewsread 11 November 2026

Want 15 Minutes Alone With Dr. Mary Talley Bowden? https://kirschsubstack.com/p/want-15-minutes-alone-with-dr-mary

30 Sept 2026, 19:37 UTC≈2,810 viewsread 11 November 2026

Parents of kids who became suddenly autistic after vaccination consistently report a tightly linked sequence of events with no gaps https://kirschsubstack.com/p/parents-of-kids-who-became-suddenly

29 Sept 2026, 15:17 UTC≈2,430 viewsread 11 November 2026

VSRF LIVE TONIGHT: Episode 247: John Beaudoin, Sr. https://kirschsubstack.com/p/vsrf-live-tonight-episode-247-john

Showing the 12 most recent of 59 posts we hold for @stkirsch. 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

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 3 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.

The Vigilant Fox 🦊
@VigilantFox · 118,654
#1
Robert W Malone, MD
@RWMaloneMD · 103,075
#2
Children’s Health Defense
@childrenshd · 52,391
#3
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,912
#4
Dr David Martin
@DrDavidMartin · 49,760
#5
COVID-19 Up
@COVID19Up · 25,474
#6
1984 Prevention Team
@prevent1984 · 7,876
#7
Dr. Shankara Chetty
@ShankaraChetty · 5,180
#8
The Exposé News (Official)
@dailyexpose · 27,503
#9
Expose The Agenda
@ETAgenda · 15,698
#10
Dr. Paul Marik
@DrPaulMarik · 9,699
#11
Dr. Tenpenny
@DrTenpenny · 87,500
#12
World Council for Health
@wch_org · 33,973
#13
David Avocado Wolfe
@davidavocadowolfe · 101,421
#14
Dr. Aseem Malhotra
@AseemMalhotra · 7,831
#15
TruthAboutCOVID
@TruthAboutCOVID · 7,887
#16
The Daily Pulse
@TDailyPulse · 11,717
#17
Jessica Rose
@DrJessicaRose · 6,361
#18
Dr. Simone Gold
@DrSimoneGold · 78,895
#19
Dr. Judy Mikovits
@dr_judymikovitss · 25,230
#20
COVID19 VACCINE VICTIMS AND FAMILIES
@COVID19VACCINEVICTIMSANDFAMILIES · 18,011
#21
Peter A. McCullough, MD, MPH™
@P_McCulloughMD · 15,493
#22
World Doctors Alliance
@worlddoctorsalliance · 74,767
#23
Dr Mike Yeadon
@DrMikeYeadon · 26,850
#24
Peter A. McCullough, MD, MPH™
@PeterMcCulloughMD · 4,469
#25
Dr. Naomi Wolf
@NaomiWolfOfficial · 3,576
#26
Reclaim The Net
@reclaimthenet · 3,814
#27
Dr. Christina Parks
@ChristinaParks · 16,091
#28
Dr Roger Hodkinson
@RogerHodkinson · 11,872
#29
Dr Philip McMillan
@PhilipMcMillan · 1,876
#30
KanekoaTheGreat
@KanekoaTheGreat · 113,959
#31
Zeee Media 🎙
@zeeemedia · 53,592
#32
Tucker Carlson
@TuckerCarlsonNetwork · 202,768
#33
BioClandestine
@bioclandestine · 137,632
#34
Edward Dowd
@Edward_Dowd · 12,240
#35
Robin Monotti
@robinmg · 66,892
#36
Jack Posobiec
@Jack_Posobiec · 113,853
#37
James O'Keefe
@JamesOKeefeIII · 162,329
#38
Covid Truth Network
@covidtruthnet · 57,445
#39
Rise of the New Media - Brian Cates
@riseofthenewmedia · 17,844
#40
General Flynn ️
@RealGenFlynn · 144,697
#41
Independent Medical Alliance
@IMA_Health · 30,966
#42
Gateway Pundit
@gatewaypunditofficial · 108,059
#43
We The Media
@WeTheMedia · 139,530
#44
Mikki Willis Official
@OfficialPlandemic · 32,579
#45
Health Ranger
@RealHealthRanger · 62,438
#46
Edward Dowd
@EdwardDowdReal · 5,212
#47
Raheem Kassam
@RaheemKassam · 7,641
#48
Charlie Kirk
@CharlieKirk · 147,653
#49
Captain Keshel and Co. American Election Integrity HQ
@ElectionHQ2024 · 67,617
#50
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 109,567
#51
Political Moonshine
@PoliticalMoonshine · 5,505
#52
Karen Kingston
@joinmiFight · 5,143
#53
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,263
#54
The Babylon Bee
@TheBabylonBee · 92,215
#55
Dr. Mercola
@DoctorMercola · 30,812
#56
Taylor Hudak Media
@taylorhudak · 4,068
#57
Natalie Winters
@NatalieWinters · 2,698
#58
Marco Polo
@MarcoPolo501c3 · 31,776
#59
Donald Trump Jr
@TrumpJr · 345,917
#60
ULTRA Pepe Lives Matter 🐸
@PepeMatter · 142,270
#61
WarRoom: Official Telegram Channel
@BannonWarRoom · 50,548
#62
Dr. Simon
@goddek · 38,308
#63
RealTimeNews™
@dailyrealtimenews · 19,111
#64
💊 ℝ𝕖𝕕.ℙ𝕚𝕝𝕝.ℙ𝕙𝕒𝕣𝕞𝕒𝕔𝕚𝕤𝕥 💊
@RPPharmacistOfficial · 50,352
#65
The Epoch Times
@epochtimes · 124,468
#66
Eva Vlaardingerbroek
@EvaVlaardingerbroek · 11,264
#67
The Justice League
@THEREALTORIABROOKE · 26,502
#68
Project Veritas
@project_veritas · 200,046
#69
Andrew Bridgen
@ABridgen · 14,368
#70
The Conspiracy Hole
@TheConspiracyHole · 104,270
#71
Insider Paper
@insiderpaper · 107,803
#72
American Thinker
@americanthinker1 · 35,748
#73
Paul Joseph Watson
@pjwnews · 37,188
#74
Publius
@Publius_76 · 5,753
#75
Senator Ron Johnson
@SenRonJohnsonUS · 7,176
#76
Karma Patriot 🤍
@nyflipbucket · 9,380
#77
Dot Connecting Anons | Melissa Hallman (page name to change soon)
@dotconnectinganons · 26,829
#78
X22 Report Official
@realx22report · 157,305
#79
Dr. Paul Alexander
@DrPaulAlexander · 8,166
#80
The HighWireOfficial
@TheHighWireOfficial · 11,886
#81
Disclose.tv
@disclosetv · 316,796
#82
Election Wizard
@realelectionwizard · 20,924
#83
Brownstone Institute
@brownstoneinst · 3,095
#84
Donald J. Trump
@real_donaldjtrump · 579,193
#85
Wide Awake Media - Official Channel
@realwideawakemedia · 36,438
#86
Derrick Broze's Daily News
@dbrozenews · 7,321
#87
Barbara O'Neill
@BarbaraOneill_official · 109,549
#88

Read from Telegram’s recommendation API, most recently 3 October 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 Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,912
Telegram ranks this channel #16 of 89 here — alongside 88 others — read 13 September 2026
COVID-19 Up
@COVID19Up · 25,474
Telegram ranks this channel #18 of 79 here — alongside 78 others — read 13 September 2026
Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff
@DrLynnFynn · 23,881
Telegram ranks this channel #20 of 84 here — alongside 83 others — read 16 September 2026
Dr Jane Ruby
@DrJaneRuby · 56,991
Telegram ranks this channel #20 of 81 here — alongside 80 others — read 22 August 2026
Dr Naomi Wolf
@NaomiWolfDr · 24,646
Telegram ranks this channel #22 of 87 here — alongside 86 others — read 14 September 2026
World Council for Health
@wch_org · 33,973
Telegram ranks this channel #22 of 87 here — alongside 86 others — read 2 September 2026
Dr. Simone Gold
@DrSimoneGold · 78,895
Telegram ranks this channel #23 of 89 here — alongside 88 others — read 18 August 2026
Robert W Malone, MD
@RWMaloneMD · 103,075
Telegram ranks this channel #25 of 89 here — alongside 88 others — read 15 August 2026
GreenMedInfo
@sayeregengmi · 27,442
Telegram ranks this channel #28 of 81 here — alongside 80 others — read 10 September 2026
Independent Medical Alliance
@IMA_Health · 30,966
Telegram ranks this channel #31 of 89 here — alongside 88 others — read 5 September 2026
Dr David Martin
@DrDavidMartin · 49,760
Telegram ranks this channel #31 of 82 here — alongside 81 others — read 25 August 2026
The Exposé News (Official)
@dailyexpose · 27,503
Telegram ranks this channel #32 of 83 here — alongside 82 others — read 10 September 2026
Dr Mike Yeadon
@DrMikeYeadon · 26,850
Telegram ranks this channel #38 of 87 here — alongside 86 others — read 11 September 2026
Dr. Judy Mikovits
@dr_judymikovitss · 25,230
Telegram ranks this channel #45 of 82 here — alongside 81 others — read 14 September 2026
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 18,831
Telegram ranks this channel #47 of 80 here — alongside 79 others — read 3 October 2026
Mikki Willis Official
@OfficialPlandemic · 32,579
Telegram ranks this channel #47 of 85 here — alongside 84 others — read 4 September 2026
Covid Truth Network
@covidtruthnet · 57,445
Telegram ranks this channel #48 of 83 here — alongside 82 others — read 22 August 2026
Dr. Mercola
@DoctorMercola · 30,812
Telegram ranks this channel #52 of 77 here — alongside 76 others — read 5 September 2026
CRAIG KELLY - Keeping the bastards honest.
@craigkelly · 26,791
Telegram ranks this channel #53 of 79 here — alongside 78 others — read 10 September 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,263
Telegram ranks this channel #54 of 91 here — alongside 90 others — read 18 August 2026
The TRUTH About Cancer | Vaccines
@TheTruthAboutCancer_Vaccines · 28,288
Telegram ranks this channel #63 of 74 here — alongside 73 others — read 8 September 2026
Man in America 🇺🇸
@maninamerica · 29,506
Telegram ranks this channel #66 of 75 here — alongside 74 others — read 7 September 2026

This channel appears in 22 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.

“Steve Kirsch Channel” (@stkirsch), 18,815 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/stkirsch.

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.