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 9 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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.
Growth
30 measurements spanning 36 days, net -544. 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 30,748–31,456 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
11 Sept 2026, 11:20
30,830
-35
8 Sept 2026, 18:20
30,865
-50
5 Sept 2026, 10:56
30,915
-31
3 Sept 2026, 10:03
30,946
-16
2 Sept 2026, 02:12
30,962
-10
1 Sept 2026, 05:36
30,972
-16
31 Aug 2026, 03:38
30,988
-14
30 Aug 2026, 00:05
31,002
-10
29 Aug 2026, 02:58
31,012
-15
28 Aug 2026, 05:08
31,027
-6
27 Aug 2026, 03:22
31,033
-4
26 Aug 2026, 02:34
31,037
-18
25 Aug 2026, 04:04
31,055
-20
23 Aug 2026, 23:35
31,075
-27
22 Aug 2026, 04:28
31,102
-23
20 Aug 2026, 18:48
31,125
-25
19 Aug 2026, 16:43
31,150
-11
18 Aug 2026, 18:25
31,161
-15
17 Aug 2026, 21:33
31,176
-21
16 Aug 2026, 18:15
31,197
first reading
Engagement
543 posts held, back to 5 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.07%
avg views ÷ 30,830 subscribers
Avg views / post
637
438 posts measured
Reaction rate
2.74%
reactions ÷ views · ER floor
Posts in window
438
of 543 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
Window
Rolling 30 days · latest post in window 7 September 2026
Posts held
543 (5 August 2026 – 7 September 2026)
Views total
279,016
Reactions total
7,633
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Sept 2026, 13:46 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
Video runtime
22m 53s
Average length
43s
Measured directly from 32 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
9,200 reactions across 542 posts, in 42 distinct kinds. The most used accounts for 20.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
💩
1,918
20.8%
👍
1,018
11.1%
🤬
886
9.63%
🙏
660
7.17%
👎
648
7.04%
🤮
623
6.77%
🤡
603
6.55%
❤
498
5.41%
👏
343
3.73%
🔥
262
2.85%
🥴
196
2.13%
😡
193
2.10%
😁
178
1.93%
💯
165
1.79%
😨
159
1.73%
🤯
119
1.29%
🤔
112
1.22%
😈
105
1.14%
👀
100
1.09%
🤓
90
0.978%
22 further kinds
324
3.52%
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 542 of the 543 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 9,200 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 543 most recent posts we hold, published 5 August 2026 to 7 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
78
across the posts below
Posts paid on
18
of 543 we hold a reading for · 3%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RealRebelNews. 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 543 most recent posts we hold for this entry, published 5 August 2026 to 7 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.
WATCH: Asked by Rebel News’ Lise Merle about biological males in women’s prisons, the Conservative leader broadened his answer to shelters, bathrooms, change rooms and other female-only spaces: ‘Men are men, women are women.’
https://rebelne.ws/3Uuc2qu
Convicted child sex offender wants to serve his sentence in a women's prison
26-year-old convicted pedophile Daniel 'Dani' Senecal now identifies as a woman and is seeking to be transferred to a female prison — and the Carney Liberals are just fine with that.
https://rebelne.ws/4yqsczO
Paula Simons goes to war with Alberta's referendum questions
Simons urged Albertans to vote no on all nine questions, describing them as part of what she called a 'small-minded, cowardly vision' for the province.
https://rebelne.ws/4xgsY1f
Sheila Gunn Reid was joined by Keith Wilson, co-lead of the Alberta Transition Council and a leader of the third-party advertiser Let Alberta Decide, to discuss the council’s newly released transition white paper, a detailed plan outlining how Alberta could move from province to country.
https://rebelne.ws/4yeKzHQ
WATCH: Ezra Levant weighs in on the U.S. government formally telling Britain that ranking “trusted news” at the top of your feed is censorship — and how Canada has been doing it for years.
https://rebelne.ws/4gPjx2r
WATCH: Kris Sims, Alberta director of the Canadian Taxpayers Federation, laid out her case: Alberta has gone from a feared nine-figure deficit to a multi-billion-dollar surplus in a matter of months.
https://rebelne.ws/4gQ2n4Z
Vax Reports: Canada’s vaccine-injured are finally being heard
Follow our coverage as 50 vaccine-injured Canadians prepare to testify in Ottawa.
FULL REPORT by Tamara Ugolini: https://rebelne.ws/46GvyCJ
B.C. Conservatives' chaos EXPLAINED
Leaked audios, floor crossings and now a competing party? Let's break down what people might be missing about the chaos currently plaguing the B.C. Conservatives under the party's new leader, Kerry-Lynne Findlay.
FULL REPORT by Drea Humphrey: https://rebelne.ws/4xFYOWk
« Je trouve ça dommage » Éloïse Coulombe réplique après la controverse du FM93
Une entrevue devenue virale, des questions insistantes sur les vaccins et un extrait largement partagé sur les réseaux sociaux.
FULL REPORT by Alexa Lavoie: https://rebelne.ws/3SH3AUd
« Je trouve ça dommage » Éloïse Coulombe réplique après la controverse du FM93
Une entrevue devenue virale, des questions insistantes sur les vaccins et un extrait largement partagé sur les réseaux sociaux.
FULL REPORT by Alexa Lavoie: https://rebelne.ws/3SH3AUd
Dean Allison: Thousands want to tell their COVID vaccine injury stories
'I don't think there's any way that you can start the healing process with these individuals,' said Allison, 'until you'll actually start and take the time to listen to them.'
https://rebelne.ws/3UBIk2PV
🙏18💩2👏1
Showing the 12 most recent of 543 posts we hold for @RealRebelNews. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 2 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@RealRebelNews named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@byrnanation named in 1 post, 23 August 2026 – 23 August 2026
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.
Read from Telegram’s recommendation API, most recently 6 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.
REALCHRISSKY @realchrissky · 32,542 Telegram ranks this channel #17 of 55 here — alongside 54 others — read 8 September 2026
Wide Awake Media - Official Channel @realwideawakemedia · 37,388 Telegram ranks this channel #41 of 84 here — alongside 83 others — read 1 September 2026
Dr. Simone Gold @DrSimoneGold · 81,953 Telegram ranks this channel #75 of 89 here — alongside 88 others — read 18 August 2026
Turning Point USA @TPUSA · 47,384 Telegram ranks this channel #77 of 94 here — alongside 93 others — read 26 August 2026
Newsmax Clips @NewsmaxTV · 66,217 Telegram ranks this channel #88 of 91 here — alongside 90 others — read 21 August 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“Rebel News” (@RealRebelNews), 30,830 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/RealRebelNews.
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.