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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Channels linked by matching posts
This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.
26 measurements spanning 95 days, net -272. 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 7,835–8,189 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
10 Nov 2026, 07:46
7,876
-6
6 Nov 2026, 22:09
7,882
-5
3 Nov 2026, 11:50
7,887
+7
31 Oct 2026, 22:00
7,880
-14
29 Oct 2026, 03:09
7,894
-15
25 Oct 2026, 20:21
7,909
-3
23 Oct 2026, 00:29
7,912
-11
19 Oct 2026, 15:30
7,923
-5
16 Oct 2026, 08:54
7,928
-22
13 Oct 2026, 09:46
7,950
-13
7 Oct 2026, 15:22
7,963
-38
30 Sept 2026, 17:01
8,001
-37
15 Sept 2026, 20:37
8,038
-9
12 Sept 2026, 10:18
8,047
-14
8 Sept 2026, 09:15
8,061
-19
3 Sept 2026, 12:57
8,080
-7
31 Aug 2026, 01:24
8,087
-9
27 Aug 2026, 20:58
8,096
-11
24 Aug 2026, 11:28
8,107
-13
21 Aug 2026, 04:23
8,120
first reading
Engagement
61 posts held, back to 24 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.18%
avg views ÷ 7,876 subscribers
Avg views / post
329
40 posts measured
Reaction rate
1.77%
reactions ÷ views · ER floor
Posts in window
40
of 61 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 38 of 40 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
61 (24 July 2026 – 11 November 2026)
Views total
13,175
Reactions total
225
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 14:12 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
≈319
Videos
≈1,970
Links
≈6,930
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
3h 19m
Average length
3m 38s
Measured directly from 55 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
323 reactions across 55 posts, in 22 distinct kinds. The most used accounts for 30.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
98
30.3%
❤
56
17.3%
💯
47
14.6%
😈
16
4.95%
👎
12
3.72%
🤡
12
3.72%
🙏
11
3.41%
🤮
11
3.41%
🔥
10
3.10%
🖕
8
2.48%
😢
7
2.17%
🤯
7
2.17%
👏
5
1.55%
💩
5
1.55%
😱
4
1.24%
🤔
3
0.929%
🤬
3
0.929%
😁
2
0.619%
😨
2
0.619%
😴
2
0.619%
2 further kinds
2
0.619%
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 57 of the 61 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 323 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 61 most recent posts we hold, published 24 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 40 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).
"We have a malign state."
Rupert Lowe warns that the UK government has become the enemy of the British people, increasingly intruding into citizens' lives while failing to fulfil its core responsibilities. He argues that escalating war rhetoric may reflect an attempt to conceal governmental failure.
"Government is supposed to serve the taxpayer... but they're not doing that now. They've actually become the enemy of…
Former UK Prime Minister Liz Truss warns that Britain is "creeping towards full-on communism", with powerful unelected institutions dictating government policy regardless of which party governs.
She argues that her removal served as a warning to future prime ministers against challenging the system.
Source
Follow @RealWideAwakeMedia for more content like this!
Merch: https://wideawake.clothing
X | YT | IG | Rumb…
John Kerry claims Democrats won the midterms because Americans voted for Net Zero. 🤡
It wasn't due to the Iran war or lack of Epstein files accountability. It was because Americans want more wind turbines and solar panels. 🤡
"At every level of the ballot... Americans did vote for clean, affordable energy, and they also voted for clean governance."
Follow @RealWideAwakeMedia for more content like this!
Merch: http…
"It's out of control."
Restore Britain leader Rupert Lowe describes the British judiciary as "the enemy of the people".
He argues Tony Blair's legal reforms have led to widespread corruption among judges and barristers, creating a legal system that is hostile to citizens.
Source
Follow @RealWideAwakeMedia for more content like this!
Merch: https://wideawake.clothing
X | YT | IG | Rumble
"Our own government is... out of control. And I think the police are now their stormtroopers."
According to Rupert Lowe, British police have become instruments of state repression, targeting law-abiding citizens rather than addressing ongoing criminality within unintegrated migrant populations. He maintains this reflects a broader breakdown in democratic governance.
"They've got this mass post-war multiculturalism …
WHO chief Tedros Adhanom Ghebreyesus blames higher rates of cancer and heart disease on the "climate crisis". 🤡
Of course, it couldn't possibly have anything to do with those mRNA injections you coerced most of the planet into taking, could it? 🤡
Source
Follow @RealWideAwakeMedia for more content like this!
Merch: https://wideawake.clothing
X | YT | IG | Rumble
Catherine Austin Fitts warns that surveillance-driven AI algorithms will enable central bankers to automatically freeze individual bank accounts based on behaviour, including failure to take specific vaccines.
"Rather than the bank stop that transaction, the AI and the algorithm can just stop that transaction... which gives me the ability, based on my surveillance of you and my algorithm for you, to manage your fina…
Dr. Peter McCullough argues that a powerful "biopharmaceutical complex", centred around the WHO, World Economic Forum and Gates Foundation, coordinated the lockstep global Covid response, prioritising mass vaccination over alternative approaches.
"The world doesn't agree on anything. Can't agree on currency, can't agree on policy, can't agree on anything. How can they completely agree on this pandemic response?"
"E…
According to Tucker Carlson, the Republican midterms disaster can partly be traced to Trump's refusal to release the Epstein files. He argues that the administration's handling of the scandal revealed its connections to the very elites it had promised to expose.
Source
Follow @RealWideAwakeMedia for more content like this!
Merch: https://wideawake.clothing
X | YT | IG | Rumble
"They think that Israel should come first."
Tucker Carlson says neoconservatives deliberately sabotaged Trump's America First coalition because its principles conflicted with their commitment to Israel.
He accuses them of prioritising a foreign government's interests while questioning the patriotism of Americans who objected.
Source
Follow @RealWideAwakeMedia for more content like this!
Merch: https://wideawake.…
"You just watched the spell get broken."
Dave Smith says the Republican midterms disaster has shattered the political consensus defending the Iran war. He describes watching prominent conservative commentators finally acknowledge the war's electoral consequences after dismissing his warnings for more than a year.
"You can't cover up the Epstein files and launch a war when everyone wanted the opposite."
Source
Fol…
"It's time to repudiate Donald Trump."
Dave Smith argues that Republicans must nominate an anti-war candidate to have any chance of winning in 2028.
He maintains that Trump's abandonment of his anti-war coalition destroyed the party's electoral prospects and handed Democrats a decisive victory.
Source
Follow @RealWideAwakeMedia for more content like this!
Merch: https://wideawake.clothing
X | YT | IG | Rumble
💩2👎1💯1
Signed Travis Bickle
Showing the 12 most recent of 61 posts we hold for @prevent1984. 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
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Zeee Media 🎙 @zeeemedia · 53,592 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 23 August 2026
Steve Kirsch Channel @stkirsch · 18,815 Telegram ranks this channel #7 of 88 here — alongside 87 others — read 3 October 2026
Covid Truth Network @covidtruthnet · 57,372 Telegram ranks this channel #7 of 83 here — alongside 82 others — read 22 August 2026
RealTimeNews™ @dailyrealtimenews · 19,111 Telegram ranks this channel #9 of 80 here — alongside 79 others — read 30 September 2026
COVID-19 Up @COVID19Up · 25,474 Telegram ranks this channel #14 of 79 here — alongside 78 others — read 13 September 2026
REALCHRISSKY @realchrissky · 31,514 Telegram ranks this channel #14 of 55 here — alongside 54 others — read 8 September 2026
World Council for Health @wch_org · 33,973 Telegram ranks this channel #14 of 87 here — alongside 86 others — read 2 September 2026
Dr Mike Yeadon solo channel @DrMikeYeadonsolochannel · 25,912 Telegram ranks this channel #15 of 89 here — alongside 88 others — read 13 September 2026
Child Covid Vaccine Injuries UK @childcovidvaccineinjuriesuk · 18,812 Telegram ranks this channel #16 of 80 here — alongside 79 others — read 3 October 2026
Dr. Simon @goddek · 38,308 Telegram ranks this channel #17 of 87 here — alongside 86 others — read 30 August 2026
Children’s Health Defense @childrenshd · 52,391 Telegram ranks this channel #18 of 91 here — alongside 90 others — read 24 August 2026
KanekoaTheGreat @KanekoaTheGreat · 113,959 Telegram ranks this channel #26 of 80 here — alongside 79 others — read 14 August 2026
Health Ranger @RealHealthRanger · 62,438 Telegram ranks this channel #28 of 82 here — alongside 81 others — read 21 August 2026
Jeffrey Peterson - jeff.pro @jeffdotpro · 23,721 Telegram ranks this channel #30 of 75 here — alongside 74 others — read 17 September 2026
Robert W Malone, MD @RWMaloneMD · 103,075 Telegram ranks this channel #31 of 89 here — alongside 88 others — read 15 August 2026
COVID VACCINE VICTIMS AND FAMILIES @covid19vaccinevictims · 37,627 Telegram ranks this channel #32 of 69 here — alongside 68 others — read 31 August 2026
The Vigilant Fox 🦊 @VigilantFox · 118,654 Telegram ranks this channel #32 of 83 here — alongside 82 others — read 14 August 2026
The Exposé News (Official) @dailyexpose · 27,479 Telegram ranks this channel #36 of 83 here — alongside 82 others — read 10 September 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺 @ReinerFuellmichEnglish · 83,263 Telegram ranks this channel #42 of 91 here — alongside 90 others — read 18 August 2026
🇨🇦 Private Canadian News 🇨🇦 @PrivateCanadianNews · 19,673 Telegram ranks this channel #43 of 62 here — alongside 61 others — read 29 September 2026
Independent Medical Alliance @IMA_Health · 30,966 Telegram ranks this channel #47 of 89 here — alongside 88 others — read 5 September 2026
Robin Monotti @robinmg · 66,892 Telegram ranks this channel #51 of 90 here — alongside 89 others — read 20 August 2026
Wide Awake Media - Official Channel @realwideawakemedia · 36,438 Telegram ranks this channel #54 of 84 here — alongside 83 others — read 1 September 2026
The Library @The_Library_II · 18,592 Telegram ranks this channel #63 of 80 here — alongside 79 others — read 5 October 2026
This channel appears in 25 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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.
“1984 Prevention Team” (@prevent1984), 7,876 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/prevent1984.
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.