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Channel

Dr Naomi Wolf

@NaomiWolfDr

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

25,045subscribers

-770 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-1001465250732
TypeChannel
Username@NaomiWolfDr
DescriptionOutrages explores violations of personal freedoms via the inspiring story of LGBTQ rights hero John Addington Symonds. CEO, http://DailyClout.io . DPhil, Poetry.
Created7 June 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live6 October 2026
Measurements held35
Confirmed unchanged1 time, most recently 6 October 2026
On Telegramt.me/NaomiWolfDr

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 why it has no browse page of its own yet.

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 (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@NaomiWolfDr/11513 · this entry5 Aug 2026, 20:04 UTC@naomirwolf/58835 Aug 2026, 20:04 UTC1.00under a minute
@naomirwolf/58855 Aug 2026, 23:53 UTC@NaomiWolfDr/11515 · this entry5 Aug 2026, 23:53 UTC0.98under a minute
@NaomiWolfDr/11500 · this entry2 Aug 2026, 18:26 UTC@naomirwolf/58702 Aug 2026, 18:27 UTC0.98under a minute
@NaomiWolfDr/11507 · this entry4 Aug 2026, 17:41 UTC@naomirwolf/58774 Aug 2026, 17:42 UTC0.94under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@naomirwolf10 (8/8 hand-verifiable sample passed)0.97under a minutethis entry (10–0)

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 20 comparable posts for this entry, running 1 August 2026 to 7 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 @NaomiWolfDr — 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

25,04525,81525,4306 August 2026 — 25,815 subscribers7 August 2026 — 25,811 subscribers8 August 2026 — 25,797 subscribers9 August 2026 — 25,792 subscribers10 August 2026 — 25,783 subscribers11 August 2026 — 25,754 subscribers12 August 2026 — 25,737 subscribers13 August 2026 — 25,729 subscribers14 August 2026 — 25,717 subscribers15 August 2026 — 25,695 subscribers17 August 2026 — 25,679 subscribers18 August 2026 — 25,676 subscribers19 August 2026 — 25,672 subscribers20 August 2026 — 25,653 subscribers21 August 2026 — 25,639 subscribers22 August 2026 — 25,621 subscribers24 August 2026 — 25,602 subscribers25 August 2026 — 25,590 subscribers26 August 2026 — 25,576 subscribers27 August 2026 — 25,572 subscribers28 August 2026 — 25,557 subscribers29 August 2026 — 25,545 subscribers30 August 2026 — 25,529 subscribers31 August 2026 — 25,506 subscribers1 September 2026 — 25,494 subscribers2 September 2026 — 25,484 subscribers4 September 2026 — 25,466 subscribers7 September 2026 — 25,425 subscribers10 September 2026 — 25,396 subscribers12 September 2026 — 25,375 subscribers14 September 2026 — 25,352 subscribers15 September 2026 — 25,333 subscribers18 September 2026 — 25,310 subscribers1 October 2026 — 25,119 subscribers6 October 2026 — 25,045 subscribers6 August 20266 October 2026
35 measurements spanning 61 days, net -770. 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 24,930–25,931 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
6 Oct 2026, 16:1625,045-74
1 Oct 2026, 18:5725,119-191
18 Sept 2026, 08:5825,310-23
15 Sept 2026, 23:3825,333-19
14 Sept 2026, 06:3725,352-23
12 Sept 2026, 17:2025,375-21
10 Sept 2026, 17:4025,396-29
7 Sept 2026, 14:0225,425-41
4 Sept 2026, 15:5825,466-18
2 Sept 2026, 23:0525,484-10
1 Sept 2026, 20:5425,494-12
31 Aug 2026, 20:4625,506-23
30 Aug 2026, 19:5425,529-16
29 Aug 2026, 17:2525,545-12
28 Aug 2026, 14:1125,557-15
27 Aug 2026, 10:4625,572-4
26 Aug 2026, 08:4525,576-14
25 Aug 2026, 06:0225,590-12
24 Aug 2026, 06:0725,602-19
22 Aug 2026, 16:3625,621first reading

Engagement

150 posts held, back to 1 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 84 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.57%
avg views ÷ 25,045 subscribers
Avg views / post
1,390
55 posts measured
Reaction rate
2.38%
reactions ÷ views · ER floor
Posts in window
55
of 150 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 8 October 2026
Posts held150 (1 August 2026 – 8 October 2026)
Views total76,711
Reactions total1,822
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Oct 2026, 11:43 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
≈1,760
Videos
≈3,550
Links
≈3,940

Lifetime counters from Telegram’s own channel header, read 9 October 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
17h 04m
Average length
11m 38s

Measured directly from 88 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

6,315 reactions across 150 posts, in 24 distinct kinds. The most used accounts for 24.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤬1,55724.7%
❤76912.2%
👍73511.6%
💯72211.4%
🔥4376.92%
🤡3475.49%
🙏3175.02%
😱2804.43%
🤮2113.34%
👏2003.17%
😢1582.50%
👎1492.36%
🤔1051.66%
🤨891.41%
💔590.934%
⚡460.728%
🥴450.713%
🤣330.523%
😁240.38%
👌120.19%
4 further kinds200.317%

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 150 of the 150 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 6,315 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 150 most recent posts we hold, published 1 August 2026 to 8 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

8 Oct 2026, 17:18 UTC742 views40 reactionsread 9 October 2026
Video

These are the “French Student protestors”. Does it look like they’re concerned with school conditions? Do any of them even look French? Paris is in chaos right now because they imported a foreign culture that has now replaced their own. 👆👆 These are adult sub Saharan African mercenaries

🤬32🤮6👍2

7 Oct 2026, 20:48 UTC947 views13 reactionsread 9 October 2026
Photo

With @ MarkSteynOnline and @ LeilaniDowding, intrepid and fearless leaders and speakers, at Steyn at Sea http://marksteyn.com. The Queen Mary 2 somewhere off the coast of Nova Scotia. We discussed the fall of Britain and Canada, the mass hypnosis that attended the COVID years, and how to fight back without losing liberty or heart. So glad to be sailing alongside the era’s true heroes.

❤13

7 Oct 2026, 19:08 UTC972 views3 reactionsread 9 October 2026
Video

"Hundreds of brain-related safety signals linked to COVID mRNA shots"

❤3

7 Oct 2026, 16:59 UTC985 views4 reactionsread 9 October 2026
Video

"Human Studies: This Lowers Blood Pressure and Reduces Arterial Plaque"

❤4

7 Oct 2026, 16:58 UTC946 views1 reactionsread 9 October 2026
Video

"How Nattokinase and Spike Detox Help Clear Spike Proteins"

🔥1

6 Oct 2026, 23:59 UTC≈1,230 views34 reactionsread 9 October 2026

"DailyClout has restored our complete collection of Pfizer Reports and organized them in one convenient, searchable format. Years of analysis from our WarRoom/DailyClout Pfizer Documents Research Volunteers are once again available to the public, making it easier than ever to search, explore, and share this important body of work." Dive into the archive here: dailyclout.io/pfizer-reports

👏27🔥7

6 Oct 2026, 23:48 UTC≈1,020 views22 reactionsread 9 October 2026
Video

"Facing academic backlash and choosing truth over career" Watch the full interview here: https://rumble.com/v7gfqr2-can-nattokinase-break-down-spike-protein.html

🔥16❤6

6 Oct 2026, 22:59 UTC≈1,000 views33 reactionsread 9 October 2026
Video

Locals are setting up blockades in Gosport to try and stop the police bringing invaders into the town. Hundreds of officers drafted in to stand against the people. Disgusting scenes. 👆👆 Not just disgusting. This is ILLEGAL per your Human Rights law of 1998. Britain use your LAWS.

😱15🔥13🤬3❤2

6 Oct 2026, 19:05 UTC999 views16 reactionsread 9 October 2026
Photo

Britain look at your LAWS!!Gosford read your own LAWS!! No one can ‘lock you down’.

❤15👍1

6 Oct 2026, 15:56 UTC≈1,040 views32 reactionsread 9 October 2026

👆👆 When will Europe simply accept that they have been invaded and occupied in a war?

💯30🙏2

6 Oct 2026, 15:55 UTC≈1,040 views35 reactionsread 9 October 2026
Forwarded from @StormIsUponUsJMVideo

The tensions in France are spiraling out of control. These are far from your average protests. Subscribe and share 👉 @StormIsUponUsJM

🤬14🤔12🙏6❤3

5 Oct 2026, 20:47 UTC≈1,170 views48 reactionsread 9 October 2026
Photo

SO honored to stand on the right side of history with the legendary @ MarkSteynOnline - who has been brutally persecuted by @ OfCom for his show with me in which I told the TRUTH about mrna harms, and who wittily told a story of emerging from a coma on the journey to making it to tonight and MP @ AndrewLawton, @ LeilaniDowding , former US Rep Michelle Bachmann, and other legends of freedom, civilization and human rig…

❤26👍20🙏2

Showing the 12 most recent of 150 posts we hold for @NaomiWolfDr. 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 9 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.

Barbara O'Neill
@BarbaraONeilll · 6,672
#1
The Vigilant Fox 🦊
@VigilantFox · 119,706
#2
Robert W Malone, MD
@RWMaloneMD · 104,693
#3
Edward Dowd
@Edward_Dowd · 12,262
#4
Dr. Paul Marik
@DrPaulMarik · 9,704
#5
Children’s Health Defense
@childrenshd · 52,994
#6
Dr. Tenpenny
@DrTenpenny · 88,642
#7
World Doctors Alliance
@worlddoctorsalliance · 75,719
#8
Dr. Shankara Chetty
@ShankaraChetty · 5,183
#9
Independent Medical Alliance
@IMA_Health · 31,424
#10
Dr. Naomi Wolf
@NaomiWolfOfficial · 3,623
#11
Peter A. McCullough, MD, MPH™
@P_McCulloughMD · 15,500
#12
Dr Philip McMillan
@PhilipMcMillan · 1,887
#13
The Epoch Times
@epochtimes · 126,893
#14
Dr. Judy Mikovits
@dr_judymikovitss · 25,435
#15
Dr Jane Ruby
@DrJaneRuby · 57,982
#16
The Exposé News (Official)
@dailyexpose · 27,762
#17
Dr Mike Yeadon
@DrMikeYeadon · 26,998
#18
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,946
#19
Dr Roger Hodkinson
@RogerHodkinson · 11,932
#20
COVID19 VACCINE VICTIMS AND FAMILIES
@COVID19VACCINEVICTIMSANDFAMILIES · 18,110
#21
Steve Kirsch Channel
@stkirsch · 19,124
#22
Dr. Petter McCollough
@PeterMcCullough1 · 3,005
#23
World Council for Health
@wch_org · 34,404
#24
Dr. Aaron Kheriaty
@AaronKheriaty · 2,857
#25
Karen Kingston
@joinmiFight · 5,219
#26
Robin Monotti
@robinmg · 67,606
#27
LauraAboli
@LauraAbolichannel · 167,661
#28
Dr David Martin
@DrDavidMartin · 50,334
#29
Zeee Media 🎙
@zeeemedia · 54,222
#30
Disclose.tv
@disclosetv · 320,373
#31
BioClandestine
@bioclandestine · 138,411
#32
KanekoaTheGreat
@KanekoaTheGreat · 115,956
#33
Dr. Simone Gold ✅
@DrSimoneGoldLA · 6,892
#34
Gateway Pundit
@gatewaypunditofficial · 110,220
#35
The General
@GeneralMCNews · 143,643
#36
WarRoom: Official Telegram Channel
@BannonWarRoom · 51,592
#37
Donald J. Trump
@real_donaldjtrump · 587,302
#38
Real-Time Daily News
@RealTimeDailyNews · 9,248
#39
Jack Posobiec
@Jack_Posobiec · 115,998
#40
We The Media
@WeTheMedia · 141,812
#41
Edward Dowd
@EdwardDowdReal · 5,257
#42
The Awakened Species ☀️
@awakenedspecies · 141,188
#43
Natalie Winters
@NatalieWinters · 2,736
#44
⚡️ 🇺🇸 Sidney Powell 🇺🇸 🗽
@SidneyPowell · 125,489
#45
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 110,635
#46
David Avocado Wolfe
@davidavocadowolfe · 102,555
#47
Insider Paper
@insiderpaper · 108,175
#48
Julie Kelly 🇺🇲
@Julie_Kelly2 · 2,263
#49
Kari Lake
@realKariLake · 21,984
#50
ULTRA Pepe Lives Matter 🐸
@PepeMatter · 145,139
#51
Project Veritas
@project_veritas · 203,901
#52
Health Ranger
@RealHealthRanger · 63,133
#53
General Flynn ️
@RealGenFlynn · 147,453
#54
Benny Johnson
@BennyJohnson · 62,635
#55
Police frequency
@police_frequency · 69,728
#56
One America News Network
@OANNTV · 143,248
#57
Captain Keshel and Co. American Election Integrity HQ
@ElectionHQ2024 · 68,702
#58
Raheem Kassam
@RaheemKassam · 7,735
#59
LAURA LOOMER
@loomeredofficial · 19,357
#60
Charlie Kirk
@CharlieKirk · 150,435
#61
Russell Brand
@RussellBrand4 · 8,080
#62
The Justice League
@THEREALTORIABROOKE · 26,849
#63
Resist the Mainstream
@ResisttheMainstream · 128,520
#64
Just a Dude 😎
@JustDudeChannel · 62,878
#65
BREAKING HEADLINES
@BREAKINGHEADLINES · 66,793
#66
Senator Ron Johnson
@SenRonJohnsonUS · 7,293
#67
Donald Trump Jr
@TrumpJr · 352,563
#68
Trump Supporters Channel 🇺🇸
@TrumpChannel · 132,461
#69
GEORGENEWS
@georgenews · 143,009
#70
Marjorie Taylor Greene
@RealMarjorieGreene · 56,994
#71
ANN VANDERSTEEL CHANNEL
@AnnVandersteelTruth · 29,119
#72
Covid Truth Network
@covidtruthnet · 58,280
#73
Libs of TikTok Fans
@libsontiktok · 16,142
#74
Political Moonshine
@PoliticalMoonshine · 5,595
#75
Liz Harrington
@LizHarrington76 · 22,687
#76
Dr. Paul Alexander
@DrPaulAlexander · 8,320
#77
The Solari Report
@solarireport · 15,329
#78
Tucker Carlson Fanbase
@TuckerFans · 103,724
#79
Lara Logan
@NoAgendaLara · 25,888
#80
Mikki Willis Official
@OfficialPlandemic · 33,051
#81
STRANGER THAN FICTION NEWS
@stfn_news · 62,698
#82
vDarkness Falls / Light_on_Liberty
@vDarknessFalls · 26,395
#83
Follow The White Rabbit ™ 🐇
@followsthewhiterabbit · 79,419
#84
David Clements
@theprofessorsrecord · 50,297
#85
Trump Source ⚡️ 🇺🇸
@TrumpSource · 7,539
#86
National Geographic
@NatGeoSociety · 37,514
#87

Read from Telegram’s recommendation API, most recently 14 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.

Independent Medical Alliance
@IMA_Health · 31,424
Telegram ranks this channel #42 of 89 here — alongside 88 others — read 5 September 2026
Dr. Bryan Ardis
@BryanArdis · 36,650
Telegram ranks this channel #56 of 73 here — alongside 72 others — read 1 September 2026
Dr Jane Ruby
@DrJaneRuby · 57,982
Telegram ranks this channel #67 of 81 here — alongside 80 others — read 22 August 2026
Reignite Democracy
@reignitedemocracy · 22,546
Telegram ranks this channel #69 of 74 here — alongside 73 others — read 20 September 2026
Dr. Judy Mikovits
@dr_judymikovitss · 25,435
Telegram ranks this channel #73 of 82 here — alongside 81 others — read 14 September 2026
Dr Mike Yeadon
@DrMikeYeadon · 26,998
Telegram ranks this channel #74 of 87 here — alongside 86 others — read 11 September 2026
Robert W Malone, MD
@RWMaloneMD · 104,693
Telegram ranks this channel #77 of 89 here — alongside 88 others — read 15 August 2026
Dr David Martin
@DrDavidMartin · 50,334
Telegram ranks this channel #82 of 82 here — alongside 81 others — read 25 August 2026
World Doctors Alliance
@worlddoctorsalliance · 75,719
Telegram ranks this channel #85 of 88 here — alongside 87 others — read 19 August 2026

This channel appears in 9 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 6 October 2026 — this entry's latest reading, not the date you are reading this.

“Dr Naomi Wolf” (@NaomiWolfDr), 25,045 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/NaomiWolfDr.

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.