Telegram RegisterThe public register of Telegram
Telegram profile photo for Andrew Bridgen

Channel

Andrew Bridgen

@ABridgen

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

14,368subscribers

+231 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-1002046034616
TypeChannel
Username@ABridgen
DescriptionIndependent minded. abridgen.uk
Created19 October 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held57
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/ABridgen

Topic

Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 52% 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. 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 (2 of the pairs behind the counts below)
Posted firstThenOverlapGap
@ABridgen/2507 · this entry1 Nov 2026, 03:49 UTC@VseWeda/974983 Nov 2026, 21:06 UTC1.003 days
@ABridgen/2515 · this entry2 Nov 2026, 11:04 UTC@VseWeda/974993 Nov 2026, 21:07 UTC1.0034 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
@VseWeda14 (8/8 hand-verifiable sample passed)1.0015 hoursthis entry (14–0)

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 96 comparable posts for this entry, running 20 July 2026 to 9 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).

Recorded under the key clone_source, 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.

Growth

14,12714,36814,247.56 August 2026 — 14,137 subscribers7 August 2026 — 14,134 subscribers7 August 2026 — 14,135 subscribers8 August 2026 — 14,132 subscribers9 August 2026 — 14,127 subscribers10 August 2026 — 14,137 subscribers11 August 2026 — 14,141 subscribers12 August 2026 — 14,139 subscribers15 August 2026 — 14,136 subscribers16 August 2026 — 14,143 subscribers17 August 2026 — 14,140 subscribers18 August 2026 — 14,141 subscribers19 August 2026 — 14,139 subscribers20 August 2026 — 14,143 subscribers23 August 2026 — 14,141 subscribers26 August 2026 — 14,142 subscribers27 August 2026 — 14,141 subscribers28 August 2026 — 14,138 subscribers29 August 2026 — 14,142 subscribers30 August 2026 — 14,141 subscribers31 August 2026 — 14,145 subscribers1 September 2026 — 14,147 subscribers2 September 2026 — 14,144 subscribers4 September 2026 — 14,149 subscribers6 September 2026 — 14,144 subscribers9 September 2026 — 14,165 subscribers12 September 2026 — 14,180 subscribers14 September 2026 — 14,181 subscribers15 September 2026 — 14,189 subscribers17 September 2026 — 14,209 subscribers26 September 2026 — 14,252 subscribers4 October 2026 — 14,264 subscribers8 October 2026 — 14,257 subscribers13 October 2026 — 14,305 subscribers15 October 2026 — 14,301 subscribers16 October 2026 — 14,295 subscribers17 October 2026 — 14,296 subscribers18 October 2026 — 14,294 subscribers19 October 2026 — 14,297 subscribers20 October 2026 — 14,298 subscribers21 October 2026 — 14,294 subscribers22 October 2026 — 14,309 subscribers23 October 2026 — 14,324 subscribers24 October 2026 — 14,333 subscribers25 October 2026 — 14,340 subscribers27 October 2026 — 14,339 subscribers27 October 2026 — 14,345 subscribers29 October 2026 — 14,354 subscribers31 October 2026 — 14,355 subscribers2 November 2026 — 14,359 subscribers3 November 2026 — 14,364 subscribers4 November 2026 — 14,362 subscribers5 November 2026 — 14,363 subscribers6 November 2026 — 14,361 subscribers7 November 2026 — 14,358 subscribers8 November 2026 — 14,356 subscribers10 November 2026 — 14,368 subscribers6 August 202610 November 2026
57 measurements spanning 96 days, net +231. 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 14,091–14,404 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)SubscribersChange
10 Nov 2026, 02:5814,368+12
8 Nov 2026, 19:0114,356-2
7 Nov 2026, 10:4914,358-3
6 Nov 2026, 07:5414,361-2
5 Nov 2026, 07:2214,363+1
4 Nov 2026, 05:4114,362-2
3 Nov 2026, 02:2914,364+5
2 Nov 2026, 00:4814,359+4
31 Oct 2026, 21:5614,355+1
29 Oct 2026, 21:5414,354+9
27 Oct 2026, 22:5514,345+6
27 Oct 2026, 00:4814,339-1
25 Oct 2026, 23:4014,340+7
24 Oct 2026, 22:5814,333+9
23 Oct 2026, 21:0414,324+15
22 Oct 2026, 20:5114,309+15
21 Oct 2026, 18:4714,294-4
20 Oct 2026, 13:1714,298+1
19 Oct 2026, 11:5714,297+3
18 Oct 2026, 13:4614,294first reading

Engagement

110 posts held, back to 20 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.3%
avg views ÷ 14,368 subscribers
Avg views / post
6,360
37 posts measured
Reaction rate
4.34%
reactions ÷ views · ER floor
Posts in window
37
of 110 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 11 November 2026
Posts held110 (20 July 2026 – 11 November 2026)
Views total235,300
Reactions total10,221
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 19:25 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
≈538
Videos
≈1,170
Links
≈2,280

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.

Video runtime
1h 41m
Average length
1m 58s

Measured directly from 52 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

30,313 reactions across 110 posts, in 51 distinct kinds. The most used accounts for 31.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯9,66931.9%
👍4,39114.5%
🤬3,24010.7%
❤2,8799.50%
🔥1,6395.41%
🙏1,3214.36%
😈1,1553.81%
👏1,0623.50%
🤡1,0613.50%
🤮9123.01%
😢5671.87%
🤔4541.50%
🤣4311.42%
😡3891.28%
😱2790.92%
😁2500.825%
👎1650.544%
🤯620.205%
🥰530.175%
😭480.158%
31 further kinds2860.943%

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 110 of the 110 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 30,313 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 110 most recent posts we hold, published 20 July 2026 to 11 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 37 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).

11 Nov 2026, 13:13 UTC≈1,750 views130 reactionsread 11 November 2026
Forwarded from @MidwesternDoctorVideo

In 1992, a TV talk show let parents describe what happened after their 4-month-old twins got routine shots. The next day, the babysitter called in a panic: Matthew had stopped breathing, "get here as quickly as you can." Matthew died that same day. His surviving twin had gotten a different vaccine lot. https://t.me/MidwesternDoctor

😢76😈18💯17🔥11🙏5💔2👍1

11 Nov 2026, 12:51 UTC≈3,630 views130 reactionsread 11 November 2026
Video

This is why successive UK Governments won’t release the record level data they hold for the doses, dates and deaths following the Covid ‘vaccine’ rollout. The data release would put senior politicians , civil servants , health regulators and big Pharma executives into prison. The all cause mortality data from 9 countries shows ‘no lives were saved’ by the Covid 19 injections https://t.me/ABridgen

💯78🤬35👍7😈5😢4❤1

9 Nov 2026, 18:51 UTC≈5,320 views471 reactionsread 11 November 2026
Photo

Russell Brand is sentenced to 10 years and 6 months and he will serve at least 7 years. I believe the whole case was only brought because of his vocal opposition to the establishment. Compare it with the police and the justice systems clear lack of enthusiasm and vigour regarding the Muslim rape gangs and the sentences passed on cases of child rape and paedophilia. They must be a large number of celebrities who are…

👍202💯179🤬26❤14😢14👏12🙏11🤔7

8 Nov 2026, 20:21 UTC≈5,430 views323 reactionsread 11 November 2026
Photo

Forests cleared for AI data centres: Muhos, Finland: Around 330 hectares of forest cleared for Google's planned data-centre development. Otanmäki, Finland: Nearly 200 hectares cleared for another Google data-centre development. Memphis, Tennessee, USA: Woodland was cleared and transformed during the development of xAI's Colossus AI data-centre complex. These developments highlight the environmental cost of the AI…

💯158🤬88😈30🤡12❤11😭10😢6🥱4

8 Nov 2026, 19:48 UTC≈4,660 views217 reactionsread 11 November 2026

Big Pharma will love this and will be lobbying hard for it. I wonder why ? https://www.dailymail.com/health/article-16274969/Health-supplements-vitamins-removed-UK-shelves.html?ito=native_share_article-top https://t.me/ABridgen

🤬171🤮23💯10❤5🔥5👎2😱1

8 Nov 2026, 18:09 UTC≈5,620 views328 reactionsread 11 November 2026
Photo

Are you going to see two tier justice in the Russell Brand sentencing ? What do you think ? https://t.me/ABridgen

💯127👍85🤬50🤔31❤13😢11🙏5🔥3

8 Nov 2026, 17:29 UTC≈4,270 views297 reactionsread 11 November 2026
Photo

President Putin must be shaking in his boots at the prospect lol https://t.me/ABridgen

💯200👍66🤣24❤4👏2😁1

8 Nov 2026, 17:05 UTC≈4,210 views191 reactionsread 11 November 2026
Photo

My question about Midazolam and the official answer March 2023. Midazolam was used to euthanise many vulnerable and elderly during Covid under the guise of Nice Guideline 163. https://t.me/ABridgen

👍80😢36🤬34💯17😈16👏5🔥2❤1

8 Nov 2026, 16:33 UTC≈4,120 views165 reactionsread 11 November 2026

More evidence supported by the FDA as to how the mRNA shots induce cancer. But they are still being pushed around the World. The power of Big Pharma ! https://t.me/ABridgen

🤬119🔥15🤮15😈9💯4❤2👎1

8 Nov 2026, 16:32 UTC≈3,770 views161 reactionsread 11 November 2026
Forwarded from @TruthAboutCOVIDVideo

FDA CONFIRMS GENE THERAPY DNA INTEGRATED INTO HUMAN GENOMES, CAUSING CANCER Insertional oncogenesis CONFIRMED with Zolgensma, a viral-vector gene therapy that uses the SAME category of DNA-delivery tech as Johnson & Johnson and AstraZeneca COVID shots. Both the gene therapy and viral-vector COVID shots deliver DNA into cell nuclei. Zolgensma uses an adeno-associated virus (AAV9) vector to deliver single-stranded D…

🤬115🔥20😈14❤6👍5👎1

8 Nov 2026, 16:19 UTC≈14,500 views327 reactionsread 11 November 2026
Video

Russell Brand exposes Big Pharma and the elites. Never forget https://t.me/ABridgen

👍148💯129❤26🙏12🔥7👏3🤡1🤮1

6 Nov 2026, 15:51 UTC≈4,550 views313 reactionsread 11 November 2026
Photo

This ‘Black Sheep’ was some distance from the herd. Very wise https://t.me/ABridgen

❤187👍76🤣36🔥10👏3🫡1

Showing the 12 most recent of 110 posts we hold for @ABridgen. 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 2 posts on @ABridgen 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
16 August 2026
Most recent seen missing
30 August 2026
Median time before seen missing
4 days
Seen missing in the last 30 days
0

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 64 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

World Doctors Alliance
@worlddoctorsalliance · 74,767
21 posts
The People's Lawyer (TPL)
@thepeopleslawyerchannel · 7,200
12 posts
ВСЕВЕДА🕊
@VseWeda · 13,039
7 posts
☀️✨Rachel Speaks Out🌙💜
@rachelspeaksout · 7,203
6 posts
Richard's Watch 'Noticeboard'
@RichardsWatch · 369
4 posts
DownTheRange
@DownTheRange · 42
3 posts
Verbales Vitriol (Dr. Sabine Stebel)
@DrBines_verbales_Vitriol · 8,143
3 posts
MARK STEELE CHANNEL
@marksteele5g · 17,790
3 posts
FallCabal Official Channel
@Fall_of_the_Cabal · 81,035
2 posts
Robinson Crusaders
@RobinsonCrusaders · 22
2 posts
Soulflix Media 💣💥
@SoulflixMedia · 5,522
2 posts
The World Heals
@TheWorldHeals · 89
2 posts
UK Freedom
@UKfreedomsw · 320
2 posts
Northern Rivers Resistance
@antihysteria · 74
2 posts
Clive de Carle
@clivedecarlehealth · 8,310
2 posts
DoorlessCarp's feed
@doorlesscarp1 · 72
2 posts
Freedom of the heart
@freedomandresistance · 321
2 posts
One Tribe
@joinonetribe · 883
2 posts
Liberty Stream Network Ireland
@liberty_stream_network_ireland · 1,727
2 posts
Freedom Media
@wearethemsm · 367
2 posts
just_saying🤷‍♀️
@AstridHalfdan · 9
1 post
Kate Shemirani Official
@BritishNursingAllianceSpeak · 12,359
1 post
Brutal Reality
@BrutalReality · 254
1 post
Doctors For Covid Ethics Channel
@Doctorsforcovidethics · 5,471
1 post
Dr. Scott Young-END THE FED
@DrScottNESARA · 29,771
1 post
Freedom Network
@Freedom_Network_News · 423
1 post
𝔽𝕣𝕖𝕖𝕕𝕠𝕞 𝕎𝕒𝕣𝕣𝕚𝕠𝕣𝕤
@Freedom_Warriors · 12,450
1 post
FFFUK Channel ❤️🩷🧡💛💚💙🩵💜🤎🩶🤍
@FutureFreedomFighters · 148
1 post
Grant Wickham
@GrantWickham · 571
1 post
Heydar A. Rashed
@HeydarAR · 2,710
1 post
MainsRobotique
@MainsRobotiqueOfficial · 12
1 post
ALAE PHOENICIS
@alaephoenicis · 1,549
1 post
Awaken The Horde
@awakenthehorde · 86
1 post
Official Barry Sant
@barry_sant · 6
1 post
BCfromBC
@bcfrombc1 · 17
1 post
Ann Sorrell
@classicalhomeopath · 23
1 post
Covid 19 the facts about the virus and the vaccine and what happening to the world
@covid19thefacts · 123
1 post
Covid Vaccine Injuries
@covid_vaccine_injuries · 24,579
1 post
Nin covid Hell,
@covidhell · 7
1 post
The Phoenix Rises 🔥
@dnakno · 642
1 post
European Resistance
@europeanresistance · 179
1 post
Silence DoGood, MBA
@familyman20181 · 14,853
1 post
Fauci Ouchy Files
@fauci_ouchy_docs · 77
1 post
impfen-nein-danke.de offiziell | Vorsprung durch Wissen
@impfen_nein_danke · 12,286
1 post
IntoTheRed News
@intothered · 76
1 post
Jim Corr News
@jimcorr · 5,434
1 post
www.LifeSource.Global NEWS&INTEL
@lifesourcenewschannel · 2,749
1 post
NEWS - Repositorio de información / Conspiracy Facts / Sheeple deception / Ilusiones de LIBERTAD / Plandemia / Meme world
@newsplandemia · 472
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 89 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.

World Doctors Alliance
@worlddoctorsalliance · 74,767
45 posts
ВСЕВЕДА🕊
@VseWeda · 13,039
16 posts
The People's Lawyer (TPL)
@thepeopleslawyerchannel · 7,200
12 posts
Verbales Vitriol (Dr. Sabine Stebel)
@DrBines_verbales_Vitriol · 8,143
6 posts
☀️✨Rachel Speaks Out🌙💜
@rachelspeaksout · 7,203
6 posts
Natalia Prego Cancelo MD, Dra, oficial Canal de difusión
@DraNataliaPrego · 24,386
5 posts
Akasha Comunidad
@akashacomunidad · 49,270
4 posts
Richard's Watch 'Noticeboard'
@RichardsWatch · 369
4 posts
DownTheRange
@DownTheRange · 42
3 posts
Eva Herman Offiziell
@EvaHermanOffiziell · 187,888
3 posts
☀️ ICIC 🇺🇸/🇬🇧/🇦🇺 - International Crimes Investigative Committee
@ICICommittee · 10,275
3 posts
MARK STEELE CHANNEL
@marksteele5g · 17,790
3 posts
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,263
3 posts
Soulflix Media 💣💥
@SoulflixMedia · 5,522
3 posts
VaccineRebellion.org
@vaccinerebellion · 10
3 posts
V_V - 2°ch - INFO IMPORTANTI
@vvincvvv · 8,916
3 posts
Northern Rivers Resistance
@antihysteria · 74
2 posts
Clive de Carle
@clivedecarlehealth · 8,310
2 posts
Covid Vaccine Injuries
@covid_vaccine_injuries · 24,579
2 posts
FallCabal Official Channel
@Fall_of_the_Cabal · 81,035
2 posts
Liberty Stream Network Ireland
@liberty_stream_network_ireland · 1,727
2 posts
Robin Monotti
@robinmg · 66,892
2 posts
Robinson Crusaders
@RobinsonCrusaders · 22
2 posts
Международная Ассоциация Независимых Блогеров
@SMINEWSBLOG · 8,027
2 posts

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.

World Doctors Alliance
@worlddoctorsalliance · 74,767
Telegram ranks this channel #8 of 88 here — alongside 87 others — read 19 August 2026
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 25,912
Telegram ranks this channel #10 of 89 here — alongside 88 others — read 13 September 2026
World Council for Health
@wch_org · 33,973
Telegram ranks this channel #10 of 87 here — alongside 86 others — read 2 September 2026
Christine Anderson, MdEP (AfD)
@christineanderson · 34,931
Telegram ranks this channel #11 of 86 here — alongside 85 others — read 2 September 2026
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 18,812
Telegram ranks this channel #13 of 80 here — alongside 79 others — read 3 October 2026
Dr. Simon
@goddek · 38,308
Telegram ranks this channel #13 of 87 here — alongside 86 others — read 30 August 2026
Dr. Judy Mikovits
@dr_judymikovitss · 25,230
Telegram ranks this channel #17 of 82 here — alongside 81 others — read 14 September 2026
Dr Mike Yeadon
@DrMikeYeadon · 26,850
Telegram ranks this channel #17 of 87 here — alongside 86 others — read 11 September 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺
@ReinerFuellmichEnglish · 83,263
Telegram ranks this channel #23 of 91 here — alongside 90 others — read 18 August 2026
CRAIG KELLY - Keeping the bastards honest.
@craigkelly · 26,765
Telegram ranks this channel #25 of 79 here — alongside 78 others — read 10 September 2026
Dr David Martin
@DrDavidMartin · 49,760
Telegram ranks this channel #26 of 82 here — alongside 81 others — read 25 August 2026
Covid Vaccine Injuries
@covid_vaccine_injuries · 24,579
Telegram ranks this channel #27 of 73 here — alongside 72 others — read 14 September 2026
The Mark Attwood Show: Adventures in a Cosmic Suit 2
@theMarkAttwoodShow · 20,908
Telegram ranks this channel #28 of 63 here — alongside 62 others — read 25 September 2026
The Exposé News (Official)
@dailyexpose · 27,479
Telegram ranks this channel #33 of 83 here — alongside 82 others — read 10 September 2026
Children’s Health Defense
@childrenshd · 52,391
Telegram ranks this channel #34 of 91 here — alongside 90 others — read 24 August 2026
Wide Awake Media - Official Channel
@realwideawakemedia · 36,438
Telegram ranks this channel #36 of 84 here — alongside 83 others — read 1 September 2026
UNN
@UnityNewsNetwork · 20,324
Telegram ranks this channel #39 of 58 here — alongside 57 others — read 27 September 2026
Wide Awake Media
@wideawakemedia · 26,588
Telegram ranks this channel #47 of 76 here — alongside 75 others — read 11 September 2026
Independent Medical Alliance
@IMA_Health · 30,966
Telegram ranks this channel #54 of 89 here — alongside 88 others — read 5 September 2026
Robin Monotti
@robinmg · 66,892
Telegram ranks this channel #56 of 90 here — alongside 89 others — read 20 August 2026
Real World News
@RealWorldNewsChannel · 24,833
Telegram ranks this channel #63 of 64 here — alongside 63 others — read 14 September 2026
Mikki Willis Official
@OfficialPlandemic · 32,549
Telegram ranks this channel #63 of 85 here — alongside 84 others — read 4 September 2026
Steve Kirsch Channel
@stkirsch · 18,815
Telegram ranks this channel #70 of 88 here — alongside 87 others — read 3 October 2026
Zeee Media 🎙
@zeeemedia · 53,592
Telegram ranks this channel #81 of 84 here — alongside 83 others — read 23 August 2026

This channel appears in 24 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.

“Andrew Bridgen” (@ABridgen), 14,368 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ABridgen.

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.