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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
32 measurements spanning 42 days, net -172. 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 12,465–12,689 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 12:38
12,491
-6
15 Sept 2026, 12:01
12,497
-9
13 Sept 2026, 17:17
12,506
-8
11 Sept 2026, 21:58
12,514
-24
9 Sept 2026, 08:39
12,538
-17
6 Sept 2026, 02:20
12,555
-12
2 Sept 2026, 09:56
12,567
-2
1 Sept 2026, 11:23
12,569
-5
31 Aug 2026, 13:37
12,574
-6
30 Aug 2026, 12:26
12,580
-1
29 Aug 2026, 11:07
12,581
-6
28 Aug 2026, 07:54
12,587
-1
27 Aug 2026, 07:35
12,588
+1
26 Aug 2026, 10:56
12,587
+1
25 Aug 2026, 14:23
12,586
-13
24 Aug 2026, 14:24
12,599
-7
23 Aug 2026, 00:24
12,606
-3
21 Aug 2026, 16:04
12,609
-5
20 Aug 2026, 16:13
12,614
-8
19 Aug 2026, 19:33
12,622
first reading
Engagement
79 posts held, back to 30 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 47 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.0%
avg views ÷ 12,491 subscribers
Avg views / post
2,370
19 posts measured
Reaction rate
2.82%
reactions ÷ views · ER floor
Posts in window
19
of 79 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 2 September 2026
Posts held
79 (30 July 2026 – 2 September 2026)
Views total
45,062
Reactions total
1,273
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:27 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
3m 02s
Average length
3m 02s
Measured directly from 1 video 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
5,138 reactions across 79 posts, in 24 distinct kinds. The most used accounts for 36.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,883
36.6%
❤
1,168
22.7%
👍
941
18.3%
👏
701
13.6%
💯
130
2.53%
😁
111
2.16%
💩
74
1.44%
🤔
29
0.564%
⚡
27
0.525%
🙏
12
0.234%
🤯
10
0.195%
❤🔥
8
0.156%
😈
8
0.156%
🦄
8
0.156%
🤩
7
0.136%
👀
5
0.097%
🏆
4
0.078%
🤣
3
0.058%
🍾
2
0.039%
👌
2
0.039%
4 further kinds
5
0.097%
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 79 of the 79 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 5,138 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 30 July 2026 to 2 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.
All wars are bankers' wars. And we're winning this one.
Sunday night on The Narrative, I capped off a two-hour cascade about Trump’s war on the global cartel by tying Scott Bessent’s declaration of Operation Economic Outcast to the same-day trade war Trump launched on Canada.
I also reminded Badlanders that Mark Carney, the current clown prince of Canada was once the head of the Bank of England.
What's more, long …
Donald Trump's little war on Big Beef is being framed as a political mistake, but it's following the same template as the war he's waging on the Global Cartel.
An otherwise-unsexy pair of moves regarding the American Meat Industry stands as one of Trump's greatest bits of Game Theory in recent memory, and also serves as a template for how he's handling bigger issues worldwide.
If you'll recall, two weeks ago, Trump…
“We will tighten the noose.”
Suddenly, the whole Truth Community, the entire MAGA base and the entire world, for that matter are paying very close attention to the narrative deployments of Scott Bessent, a figure this audience knows I have taken a keen interest in dating back to 2024, before he was officially chosen as Donald Trump’s Treasury Secretary.
In one of my most popular long-forms of 2025, I laid out Besse…
On the latest episode of The Narrative, I went through a two-hour Cascade that attempts to tie everything from the Sovereign Disentanglement theory into Donald Trump's masterful war against the Global Cartel.
And I think it actually made sense.
Enjoy.
https://rumble.com/v7euq86-the-narrative-ep.-80-the-strait-truth.html
The Narrative returns tonight at 9pm ET, and it's going to be a Solo Show.
In this episode, I will do my best to guide you through the current state of the Mind War where it concerns a Fake War that seems Real and a Real War that Seems Fake.
Prepare ...
https://rumble.com/v7euq86-the-narrative-ep.-80-the-strait-truth.html
On the latest episode of the Badlands Blitz, Ashe and I discussed the AI bubble myth, what Donald Trump is actually trying to achieve from a technology standpoint ... and who's against him.
Also, what do Canadians have in common with Seagulls?
https://badlands.substack.com/p/badlands-blitz-episode-31
I didn't end the Iran War series in May because the conflict was over, but rather because I had drawn all I could from it.
Therein, I said we were watching Trump destabilize the Global Oil Cartel using the Venezuela Model.
More relevant now than then.
https://burningbright.substack.com/p/collapse-of-the-global-cartel
After entertaining my theory that the Iran War is largely fake (and why that's a good thing,) Rich Does Politics for some reason wanted to talk to me again.
This time, we discussed the Sovereign Alliance, and why Russia has always been our greatest ally.
https://www.youtube.com/watch?v=nN_BWDCi3cU
Tonight on Badlands Story Hour, Chris Paul and I will talk about an absolutely wacky 1997 action thriller that cartoonishly combines some of the most relevant conspiracies in the modern Info War, from Russia Russia Russia! to Nuclear Fusion.
The Saint!
https://rumble.com/v7epjbg-badlands-story-hour-ep.-182-the-saint.html
Why is Donald Trump invoking comparisons to 'D-Day' on the front of an Economic Operation?
And why is the US Treasury Secretary currently acting as de-facto Commander-in-Chief?
That's the subject of my latest long-form.
Read it free on Burning Bright.
https://burningbright.substack.com/p/t-day
🔥45👍15👏8🤔4❤2💩1😈1
Showing the 12 most recent of 79 posts we hold for @reBurningBright. 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.
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.
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.
TheStormHasArrived17 @TheStormHasArrived17 · 92,725 Telegram ranks this channel #22 of 78 here — alongside 77 others — read 16 August 2026
Praying Medic News @PrayingMedicNews · 24,379 Telegram ranks this channel #26 of 77 here — alongside 76 others — read 16 September 2026
✞ Dr C ✞ @InevitableET · 38,818 Telegram ranks this channel #32 of 80 here — alongside 79 others — read 31 August 2026
Jon Herold @patelpatriot · 84,673 Telegram ranks this channel #35 of 81 here — alongside 80 others — read 2 September 2026
BioClandestine @bioclandestine · 139,192 Telegram ranks this channel #39 of 76 here — alongside 75 others — read 13 August 2026
Just Human ⭐️⭐️⭐️ @realjust_human · 30,835 Telegram ranks this channel #40 of 81 here — alongside 80 others — read 6 September 2026
TruthHammer 🙏🇺🇸 (DM's & Channel Spam are FAKERS.) @TruthHammer · 46,055 Telegram ranks this channel #46 of 81 here — alongside 80 others — read 27 August 2026
Official RedPill78 Channel @OfficialRedPillNews · 35,064 Telegram ranks this channel #47 of 75 here — alongside 74 others — read 2 September 2026
Jeffrey Peterson - jeff.pro @jeffdotpro · 24,077 Telegram ranks this channel #51 of 75 here — alongside 74 others — read 17 September 2026
ULTRA Pepe Lives Matter 🐸 @PepeMatter · 146,993 Telegram ranks this channel #51 of 75 here — alongside 74 others — read 12 August 2026
💊 ℝ𝕖𝕕.ℙ𝕚𝕝𝕝.ℙ𝕙𝕒𝕣𝕞𝕒𝕔𝕚𝕤𝕥 💊 @RPPharmacistOfficial · 51,973 Telegram ranks this channel #52 of 73 here — alongside 72 others — read 24 August 2026
Jordan Sather @jordansather · 47,773 Telegram ranks this channel #54 of 81 here — alongside 80 others — read 26 August 2026
StormyPatriotJoe ⭐️⭐️⭐️ Channel @stormypatriotjoe21 · 73,549 Telegram ranks this channel #55 of 72 here — alongside 71 others — read 23 August 2026
Qtime Network 🇺🇸🇳🇱 @QtimeNetwork · 29,543 Telegram ranks this channel #58 of 77 here — alongside 76 others — read 8 September 2026
Pepe Deluxe @PepeDeluxed · 56,808 Telegram ranks this channel #58 of 70 here — alongside 69 others — read 23 August 2026
And We Know® @andweknowLT · 86,337 Telegram ranks this channel #58 of 73 here — alongside 72 others — read 17 August 2026
Marco Polo @MarcoPolo501c3 · 32,553 Telegram ranks this channel #59 of 81 here — alongside 80 others — read 4 September 2026
Patrick M. Byrne @PatrickMByrne · 43,466 Telegram ranks this channel #60 of 78 here — alongside 77 others — read 28 August 2026
Captain Keshel and Co. American Election Integrity HQ @ElectionHQ2024 · 69,581 Telegram ranks this channel #60 of 81 here — alongside 80 others — read 20 August 2026
Enthéos @RealEntheos · 31,595 Telegram ranks this channel #61 of 68 here — alongside 67 others — read 5 September 2026
Dot Connecting Anons @dotconnectinganons · 27,855 Telegram ranks this channel #63 of 72 here — alongside 71 others — read 9 September 2026
Ron Watkins [CodeMonkeyZ] @CodeMonkeyZ · 126,157 Telegram ranks this channel #63 of 76 here — alongside 75 others — read 13 August 2026
Kari Lake @realKariLake · 22,293 Telegram ranks this channel #67 of 88 here — alongside 87 others — read 21 September 2026
X22 Report Official @realx22report · 160,968 Telegram ranks this channel #67 of 76 here — alongside 75 others — read 12 August 2026
This channel appears in 28 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Burning Bright” (@reBurningBright), 12,491 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/reBurningBright.
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.