Telegram RegisterThe public register of Telegram
Telegram profile photo for COVID VACCINE VICTIMS AND FAMILIES

Channel

COVID VACCINE VICTIMS AND FAMILIES

@covid19vaccinevictims

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

38,351subscribers

-785 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001262529462
TypeChannel
Username@covid19vaccinevictims
DescriptionOwner: @camelia004 [Except this all other accounts are fake] Admin: @RevealedEye | @diedsuddenlyworldwide Substack: revealedeye.substack.com
Created25 April 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/covid19vaccinevictims

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 74% 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. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@covid19vaccinevictims/11814 · this entry31 Jul 2026, 21:24 UTC@diedsuddenlyworldwide/258531 Jul 2026, 21:24 UTC0.99under a minute
@covid19vaccinevictims/11813 · this entry31 Jul 2026, 20:40 UTC@diedsuddenlyworldwide/258431 Jul 2026, 20:40 UTC0.99under a minute
@diedsuddenlyworldwide/257621 Jul 2026, 18:24 UTC@covid19vaccinevictims/11805 · this entry21 Jul 2026, 18:24 UTC0.98under a minute
@diedsuddenlyworldwide/258127 Jul 2026, 21:16 UTC@covid19vaccinevictims/11810 · this entry27 Jul 2026, 21:17 UTC0.98under a minute
@covid19vaccinevictims/11815 · this entry2 Aug 2026, 17:35 UTC@diedsuddenlyworldwide/25862 Aug 2026, 17:36 UTC0.97under a minute
@covid19vaccinevictims/11806 · this entry22 Jul 2026, 18:56 UTC@diedsuddenlyworldwide/257722 Jul 2026, 18:56 UTC0.95under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@diedsuddenlyworldwide12 (8/8 hand-verifiable sample passed)0.97under a minutethis entry (8–4)

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 4 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 19 comparable posts for this entry, running 9 July 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 4, the earliest publisher we hold is @covid19vaccinevictims — 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 7 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 3 other registered channels, 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

38,35139,13638,743.56 August 2026 — 39,136 subscribers6 August 2026 — 39,126 subscribers7 August 2026 — 39,096 subscribers8 August 2026 — 39,085 subscribers9 August 2026 — 39,062 subscribers10 August 2026 — 39,035 subscribers11 August 2026 — 39,016 subscribers12 August 2026 — 39,011 subscribers14 August 2026 — 38,997 subscribers15 August 2026 — 38,975 subscribers16 August 2026 — 38,960 subscribers18 August 2026 — 38,941 subscribers19 August 2026 — 38,920 subscribers20 August 2026 — 38,905 subscribers21 August 2026 — 38,884 subscribers22 August 2026 — 38,869 subscribers24 August 2026 — 38,823 subscribers25 August 2026 — 38,801 subscribers26 August 2026 — 38,793 subscribers28 August 2026 — 38,774 subscribers29 August 2026 — 38,751 subscribers30 August 2026 — 38,738 subscribers31 August 2026 — 38,720 subscribers1 September 2026 — 38,697 subscribers2 September 2026 — 38,676 subscribers3 September 2026 — 38,663 subscribers5 September 2026 — 38,629 subscribers8 September 2026 — 38,569 subscribers11 September 2026 — 38,535 subscribers13 September 2026 — 38,509 subscribers14 September 2026 — 38,476 subscribers16 September 2026 — 38,455 subscribers18 September 2026 — 38,415 subscribers25 September 2026 — 38,351 subscribers6 August 202625 September 2026
34 measurements spanning 50 days, net -785. 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 38,233–39,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
25 Sept 2026, 09:1938,351-64
18 Sept 2026, 22:3738,415-40
16 Sept 2026, 13:1538,455-21
14 Sept 2026, 19:4038,476-33
13 Sept 2026, 08:4138,509-26
11 Sept 2026, 13:1738,535-34
8 Sept 2026, 18:0138,569-60
5 Sept 2026, 11:0138,629-34
3 Sept 2026, 10:5838,663-13
2 Sept 2026, 08:3838,676-21
1 Sept 2026, 11:0338,697-23
31 Aug 2026, 09:2538,720-18
30 Aug 2026, 09:0238,738-13
29 Aug 2026, 09:4738,751-23
28 Aug 2026, 08:0438,774-19
26 Aug 2026, 12:5638,793-8
25 Aug 2026, 09:2438,801-22
24 Aug 2026, 08:2638,823-46
22 Aug 2026, 14:1738,869-15
21 Aug 2026, 03:1138,884first reading

Engagement

53 posts held, back to 9 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 91 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.8%
avg views ÷ 38,351 subscribers
Avg views / post
4,150
17 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
17
of 53 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 26 September 2026
Posts held53 (9 July 2026 – 26 September 2026)
Views total70,586
Reactions total1,436
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Sept 2026, 13:28 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
≈5,400
Videos
≈5,270
Links
≈3,150

Lifetime counters from Telegram’s own channel header, read 26 September 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 45m
Average length
2m 04s

Measured directly from 51 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

5,365 reactions across 53 posts, in 25 distinct kinds. The most used accounts for 34.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💯1,83434.2%
👏1,07420.0%
❤85716.0%
🔥54410.1%
🙏2825.26%
😢1913.56%
🤯1773.30%
🤔721.34%
😁691.29%
😱671.25%
🌚571.06%
😭460.857%
💔200.373%
🤨180.336%
👌130.242%
🤝120.224%
🙉90.168%
🥰70.13%
🥱60.112%
😐30.056%
5 further kinds70.13%

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 53 of the 53 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 5,365 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 53 most recent posts we hold, published 9 July 2026 to 26 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 53 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @covid19vaccinevictims. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

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

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

Counted over the 53 most recent posts we hold for this entry, published 9 July 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

26 Sept 2026, 08:57 UTC456 views8 reactionsread 26 September 2026
Video

a disclaimer : this is an analysis, not a study. The point of this paper is not to say they studied this in an experiment, but rather they reviewed available data about rises in autism during the same time that they introduced the human fetal cell line in the production of vaccines. I’m aware this goes against the “scientific consensus“ and this topic is very charged. I am just discussing one piece of evidence, but …

💯7❤1

22 Sept 2026, 14:14 UTC≈2,060 views63 reactionsread 26 September 2026
Video

Science without skepticism is just theology. Saying all vaccines are good is just as misguided as saying none are. Truth is found through experimentation and honest questioning, not blind acceptance. Follow: @Covid19vaccinevictims

💯48❤7👏2🔥2🤔2🎉1🙉1

21 Sept 2026, 08:46 UTC≈3,460 views65 reactionsread 26 September 2026
Video

I'd recommend y'all to read Dissolving Illusions, really mind opening about the history and efficacy of vaccines Follow: @Covid19vaccinevictims

💯54🔥8❤2🙏1

17 Sept 2026, 19:24 UTC≈3,880 views82 reactionsread 26 September 2026
Video

Aluminum triggers such a violent reaction in the body that it causes a massive inflammatory event, a full-fledged panic the moment it enters the system. And that is the reason behind why they put it in vaccines - the panic is exactly what's needed to alert the body, push it into hyperdrive, so that it sees the vaccine and builds immunity against the virus alongside it. But that panic doesn't stay contained. Did your…

🤯35💯24🙏11❤8🔥3👌1

16 Sept 2026, 17:25 UTC≈3,370 views85 reactionsread 26 September 2026
Video

Senator Ron Johnson dismantled the "3.2 million lives saved by COVID vaccines" claim. "I'm not a medical researcher... I'm a lowly accountant who can do simple math." The charts: • 2019: 2.85M deaths (pre-pandemic baseline) • 2021: 3.5M deaths (the year the vaccine rolled out) • 2022: 3.3M deaths "Where's the 3.2 million lives saved?" For that Commonwealth Fund claim to be true, you'd have to assume we would have…

👏64💯10❤9🔥2

14 Sept 2026, 19:38 UTC≈3,220 views55 reactionsread 26 September 2026
Video

Johnson says he was asked to speak at Canada's inquiry into COVID vaccine injuries, but it also grew out of his own frustration. He produced a report on April 29, 2026, showing that Peter Marks, the FDA official who approved vaccines and was supposed to monitor their safety, was warned that the agency's detection algorithm would miss safety signals, including sudden cardiac death, pulmonary infarction (which Anthony …

💯45❤10

12 Sept 2026, 20:27 UTC≈3,380 views73 reactionsread 26 September 2026
Video

Dr. Zubin ‘ZDogg’ Damania Says He Has Been Too Critical of ‘Anti-Vaxxers’ “I've been very absolutist, early on before COVID, about vaccines … Really stupid sh*t I said because of the conditioning … but I realized how incredibly wrong that way of talking is because when my kid was ready to get the the whole series, I was sitting there going, ‘Oh man, this emotionally doesn't feel good’ … There's no vaxxers and anti-v…

💯56🤔5🥱4🌚3🙉2❤1🔥1😐1

12 Sept 2026, 08:15 UTC≈3,860 views113 reactionsread 26 September 2026
Video

Dr. Peter McCullough receives a STANDING OVATION after delivering powerful testimony at the Allison Inquiry. “We NEED acknowledgement that these vaccine injuries are real. We NEED accountability.” “Light WILL prevail over darkness.” “Good WILL prevail over evil.” Follow: @Covid19vaccinevictims

👏88❤12🙏6🤔4🥰3

10 Sept 2026, 18:53 UTC≈4,110 views127 reactionsread 26 September 2026
Video

AARON RODGERS: “I'm on the phone with the head doctor at the NFL … I asked him, ‘If you get the vax can you contract or spread the disease?’ He said, ‘No.’ I said, ‘Well, tell me this then … Five scouts are out with COVID — all fully vaxxed. How'd that happen?’ He called me a conspiracy theorist.” Follow: @Covid19vaccinevictims

🔥74😁30👏17❤3😱3

9 Sept 2026, 23:10 UTC≈4,260 views130 reactionsread 26 September 2026
Video

An absolutely heartbreaking 10 minutes of a mother who lost her child to a very rare form of turbo cancer just 7 months after taking her second dose. I can’t get over how courageous these individuals are who have been telling their stories during this inquiry. Follow: @Covid19vaccinevictims

😢89🙏28😱7❤5💯1

9 Sept 2026, 17:01 UTC≈3,960 views57 reactionsread 26 September 2026
Video

Jenny McCarthy Says a Certain ‘Three-Letter Agency’ Funded a PR Campaign to Smear Her as an ‘Anti-Vaxxer’ “There was an article in Time Magazine with the title ‘The Most Dangerous Woman in America’ … It's framed in my basement … I'm this mom who's trying to make her kid better, who's sharing what other moms are going through, and gets the title of ‘The Most Dangerous Woman in America?’” Follow: @Covid19vaccinevicti…

❤35😁11🙏10🔥1

8 Sept 2026, 18:50 UTC≈8,800 views98 reactionsread 26 September 2026
Video

Everyone needs to watch today’s testimonies from the Allison Inquiry. They received over 1400 applications from across Canada to speak about the injury caused by the vax. Doctors and MP’s in Canada are forbidden to talk about injuries caused by this product. Think about that. And most people who openly speak about it at this inquiry face financial ruin. This is reality in Canada. It’s disgusting. Follow: @Covid19vac…

👏44🔥21🙏19😱7🤯4❤3

Showing the 12 most recent of 53 posts we hold for @covid19vaccinevictims. 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.

Republished by 57 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Unverified Sources
@unverifiedsources · 17
13 posts
COVID-19 “Vaccine” Adverse Reactions & Deaths
@covid19negativereactions · 3,017
7 posts
IntoTheRed News
@intothered · 76
4 posts
ضحايا اللقاحات
@ArabVaxx · 2,835
3 posts
OneSweetGiraffe
@HappilyAvaAfter · 5
3 posts
PANDEMENTIA news e scienza senza censura
@pandementia · 2,743
3 posts
Brutal Reality
@BrutalReality · 262
2 posts
NY Against Vaccine Passports
@FightVaccinePassportsNY · 18
2 posts
Jen Flinn BOMB DROPS!
@JennFlinnBOMBDROPS · 6
2 posts
Alberta Vax Reactions
@PeaceRiverAlbertaArea · 130
2 posts
Say No to Masks
@SayNoToMasks · 267
2 posts
ROMANS 8
@YAHSHOU · 11
2 posts
La vérité qui triomphe
@laveritequitriomphe · 150
2 posts
Mike Burgess
@mikeAtoZ · 2
2 posts
World Humanity Stance Enforcement
@worldhumanityvote · 4
2 posts
AmerGrmaPat
@AmerGrmaPat · 1
1 post
Bush Telegraph
@BushTelegraph · 107
1 post
Doctors Speak Out
@DoctorsSpeakOut · 114
1 post
FIGHT NWO - JUST SAY NO
@FIGHTNWOJUSTSAYNO · 10
1 post
FROM ALL AROUND
@FROMALLAROUND · 7
1 post
Creating the future
@Hume_Public_Uprising · 7
1 post
Widerstand gegen das Jugendamt
@Jugendamtskritiker · 467
1 post
LibertyLexiRevealingTruth
@LibertyLexiRevealingTruth · 930
1 post
الوعي تناغم مع الحياة والكون
@SalwaAlanezi · 1,426
1 post
JustNews
@alraunae · 21
1 post
America First 2021
@americatruths · 15
1 post
Ascension Media Club
@ascensionmediaclub · 43
1 post
NEW Police & military
@awakenpolicemilitary · 5
1 post
Vaccine Genocide Report
@ban_vaccines · 74
1 post
Covid-19 lives saving information
@covid19_useful_info · 5
1 post
💎 CE Treatment Pharmacy - Ivermectin/HCQ 💊
@covidearly · 425
1 post
DeAnna Lorraine’s Channel🎙🇺🇸
@deannaschannel · 2,009
1 post
Freedom Patriot
@denmactv · 4
1 post
Eimer-TV 🤩
@eimertv · 38
1 post
End Time Evangelist
@endtimeevangelist · 18
1 post
Free Thinkers Unite
@freethinkersuniting · 33
1 post
Gydomės vaistažolėmis namuose
@gydomesvaistazolemisnamuose · 2,305
1 post
We Keep The Faith
@hazels_vibes · 35
1 post
Impfschäden / Impftote / Impfopfer Videos
@impfschaedenundtote · 220
1 post
Jim Corr News
@jimcorr · 5,663
1 post
Just an artist questioning
@just_an_artist_questioning · 837
1 post
Marlon O'Reilly
@marlonoreillymusic
1 post
Tiffany Dover - Lockdown tötet uns
@michael_wendlerofficial · 29
1 post
Covid Vaccine Effects and Detox
@migraineprevention · 287
1 post
No Covid Vaccine 🚫💉
@nocovidvaccine · 54
1 post
Patriot4Life
@patriots_under_God · 4
1 post
Politalks_6ix
@politalks6ix · 285
1 post
realsaschawho
@realsaschawho · 1
1 post

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 60 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.

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.

REVEALED EYE
@RevealedEye · 30,618
#1
Covid BC (Excess Deaths)
@covidbc · 31,311
#2
The Vigilant Fox 🦊
@VigilantFox · 120,265
#3
LauraAboli
@LauraAbolichannel · 168,591
#4
CT Vaccine Reactions & Sudden Deaths
@DiedSuddenlyConnecticut · 2,240
#5
Covid Vaccine Adverse Reactions
@covidvaccineadversereactions · 6,055
#6
Dr. Tenpenny
@DrTenpenny · 89,219
#7
Child Covid Vaccine Injuries UK
@childcovidvaccineinjuriesuk · 19,185
#8
Robert W Malone, MD
@RWMaloneMD · 105,648
#9
PLANDEMIC 1984
@plandemik1984 · 5,446
#10
World Doctors Alliance
@worlddoctorsalliance · 76,123
#11
Hidden In Plain Sight
@hiddeninplainsight1 · 38,509
#12
Children’s Health Defense
@childrenshd · 53,485
#13
Died Suddenly Worldwide
@diedsuddenlyworldwide · 3,612
#14
Dr. Paul Marik
@DrPaulMarik · 9,713
#15
Covid Vaccine Injuries
@covid_vaccine_injuries · 25,147
#16
🧟‍♂️Covid Vaccine Zombies🧟‍♂️
@vaccinezombies · 5,189
#17
COVID-19 “Vaccine” Adverse Reactions & Deaths
@covid19negativereactions · 3,017
#18
COVID-19 Up
@COVID19Up · 26,101
#19
Dr. Harvey Risch
@HarveyRisch · 5,132
#20
TruthAboutCOVID
@TruthAboutCOVID · 7,877
#21
Dr Jane Ruby
@DrJaneRuby · 58,422
#22
Karen Kingston
@joinmiFight · 5,248
#23
Dr Mike Yeadon
@DrMikeYeadon · 27,285
#24
Peter A. McCullough, MD, MPH™
@P_McCulloughMD · 15,525
#25
HISTORY
@secret_history2 · 69,407
#26
Awaken India Movement
@awakenindiamovement · 11,821
#27
Dr. Shankara Chetty
@ShankaraChetty · 5,193
#28
The Exposé News (Official)
@dailyexpose · 27,901
#29
Dr Mike Yeadon solo channel
@DrMikeYeadonsolochannel · 26,014
#30
Health Ranger
@RealHealthRanger · 63,338
#31
1984 Prevention Team
@prevent1984 · 8,038
#32
HealthImpactNews
@healthimpact · 4,747
#33
Dr Roger Hodkinson
@RogerHodkinson · 11,967
#34
STRANGER THAN FICTION NEWS
@stfn_news · 63,099
#35
Sergeant News Network 🇺🇸
@SGTnewsNetwork · 111,081
#36
The General
@GeneralMCNews · 144,274
#37
Real World News
@RealWorldNewsChannel · 25,209
#38
Insider Paper
@insiderpaper · 108,525
#39
Zeee Media 🎙
@zeeemedia · 54,514
#40
AIM Channel: Covid Vaccine Deaths - India
@indiavaccinedeaths · 1,854
#41
The Awakened Species ☀️
@awakenedspecies · 141,823
#42
Orwellian Dystopia
@OrwellianDystopia · 14,237
#43
Cruel History
@cruel_historyy · 103,921
#44
David Avocado Wolfe
@davidavocadowolfe · 103,011
#45
Follow The White Rabbit ™ 🐇
@followsthewhiterabbit · 79,742
#46
🎧 CJ Onfrab🔊🎼 (Official)
@Onfrabmusic · 48,722
#47
𝚁𝚎𝚟𝚎𝚕𝚊𝚝𝚒𝚘𝚗𝚜 𝚊𝚗𝚍 𝚁𝚊𝚋𝚋𝚒𝚝 𝙷𝚘𝚕𝚎𝚜
@Revelations_and_Rabbit_Holes · 24,653
#48
We The Media
@WeTheMedia · 143,429
#49
Police frequency
@police_frequency · 69,996
#50
Covid Truth Network
@covidtruthnet · 58,651
#51
🔴 Blazing Press 🔴
@trumpetnews1 · 19,468
#52
Kapil Bajaj supporter channel
@kapilbajaj · 3,238
#53
UNN
@UnityNewsNetwork · 20,508
#54
Intelsky 🚨
@Intelsky · 20,677
#55
BioClandestine
@bioclandestine · 139,192
#56
Died Suddenly News
@DiedSuddenlyNews · 3,138
#57
World Council for Health
@wch_org · 34,705
#58
Resist the Mainstream
@ResisttheMainstream · 130,027
#59
Edward Dowd
@EdwardDowdReal · 5,273
#60
Australiaforfreedom
@australiaforfreedom · 19,667
#61
𝖁𝖔𝖎𝖈𝖊𝖘 𝖔𝖋 𝕽𝖊𝖛𝖊𝖑𝖆𝖙𝖎𝖔𝖓 🕊 (𝔸𝕣𝕔𝕙𝕚𝕧𝕖 🗄)
@VoicesofRevelation · 7,447
#62
KanekoaTheGreat
@KanekoaTheGreat · 117,219
#63
NavigatingTheLies
@navigatingthelies · 12,290
#64
Tartaria & History Channel
@TartariaHistoryChannel · 119,986
#65
Disclose.tv
@disclosetv · 322,872
#66
Robin Monotti
@robinmg · 68,021
#67
ULTRA Pepe Lives Matter 🐸
@PepeMatter · 146,341
#68
LA QUINTA COLUMNA TV
@laquintacolumna · 164,288
#69

Read from Telegram’s recommendation API, most recently 31 August 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.

Covid BC (Excess Deaths)
@covidbc · 31,311
Telegram ranks this channel #2 of 64 here — alongside 63 others — read 6 September 2026
Covid Vaccine Injuries
@covid_vaccine_injuries · 25,147
Telegram ranks this channel #3 of 73 here — alongside 72 others — read 14 September 2026
Dr Jane Ruby
@DrJaneRuby · 58,422
Telegram ranks this channel #15 of 81 here — alongside 80 others — read 22 August 2026
COVID-19 Up
@COVID19Up · 26,101
Telegram ranks this channel #25 of 79 here — alongside 78 others — read 13 September 2026
Dr Mike Yeadon
@DrMikeYeadon · 27,285
Telegram ranks this channel #26 of 87 here — alongside 86 others — read 11 September 2026
Dr. Tenpenny
@DrTenpenny · 89,219
Telegram ranks this channel #31 of 82 here — alongside 81 others — read 17 August 2026
World Doctors Alliance
@worlddoctorsalliance · 76,123
Telegram ranks this channel #41 of 88 here — alongside 87 others — read 19 August 2026
Robert W Malone, MD
@RWMaloneMD · 105,648
Telegram ranks this channel #42 of 89 here — alongside 88 others — read 15 August 2026
Real World News
@RealWorldNewsChannel · 25,209
Telegram ranks this channel #53 of 64 here — alongside 63 others — read 14 September 2026
The Exposé News (Official)
@dailyexpose · 27,901
Telegram ranks this channel #57 of 83 here — alongside 82 others — read 10 September 2026
Children’s Health Defense
@childrenshd · 53,485
Telegram ranks this channel #59 of 91 here — alongside 90 others — read 24 August 2026
Covid Truth Network
@covidtruthnet · 58,651
Telegram ranks this channel #66 of 83 here — alongside 82 others — read 22 August 2026
World Council for Health
@wch_org · 34,705
Telegram ranks this channel #71 of 87 here — alongside 86 others — read 2 September 2026

This channel appears in 13 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“COVID VACCINE VICTIMS AND FAMILIES” (@covid19vaccinevictims), 38,351 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/covid19vaccinevictims.

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.