The real Burning Bright. Specialist in Narrative Warfare.
Professional ranter at Badlands Media.
Free long-forms at BurningBright.substack.com
"We're in a War of Stories, and we have better writers."
Created
25 November 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel)
10 measurements spanning 8 days, net -38. 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 12,619–12,669 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 19:57
12,625
-6
13 Aug 2026, 08:15
12,631
-4
12 Aug 2026, 05:32
12,635
-3
11 Aug 2026, 08:24
12,638
-5
10 Aug 2026, 10:57
12,643
-12
9 Aug 2026, 10:52
12,655
-2
8 Aug 2026, 08:18
12,657
-3
7 Aug 2026, 06:46
12,660
-3
6 Aug 2026, 10:05
12,663
no change
6 Aug 2026, 09:46
12,663
first reading
Engagement
42 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 18 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
21.0%
avg views ÷ 12,625 subscribers
Avg views / post
2,650
42 posts measured
Reaction rate
2.13%
reactions ÷ views · ER floor
Posts in window
42
of 42 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 15 August 2026
Posts held
42 (30 July 2026 – 15 August 2026)
Views total
111,409
Reactions total
2,369
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 12:39 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
≈1,120
Videos
≈436
Links
≈2,300
Lifetime counters from Telegram’s own channel header, read 15 August 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
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
2,369 reactions across 42 posts, in 18 distinct kinds. The most used accounts for 33.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
786
33.2%
❤
612
25.8%
👏
401
16.9%
👍
396
16.7%
💯
92
3.88%
💩
42
1.77%
❤🔥
8
0.338%
🦄
8
0.338%
🙏
6
0.253%
🤔
5
0.211%
🏆
4
0.169%
🍾
2
0.084%
🤩
2
0.084%
😁
1
0.042%
😈
1
0.042%
🤣
1
0.042%
🤯
1
0.042%
🥱
1
0.042%
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 42 of the 42 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 2,369reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 30 July 2026 to 15 August 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.
Donald Trump has been waging a shadow war against the globalist Deep State for a decade and counting.
He hasn’t been doing it alone, and one of his most powerful allies made his name inside the enemy’s machine.
So, what’s Scott Bessent really been up to?
https://burningbright.substack.com/p/revenge-of-the-real?v=2
In 2025, one of my features shocked me a bit by becoming more widely-shared than anything else I wrote the whole year.
That feature focused on Scott Bessent, whom I dubbed 'The Wolf of Main Street,' and who a larger share of the Collective MAGA Mind is beginning to realize is playing a far more seismic role in the dissolution of the Deep State than most believed at the time.
While my latest feature explores what Be…
Tonight on Badlands Story Hour, Chris Paul and I will discuss the Controlled Opposition Dynamic, the Uniparty and how the American Political Saga has always been largely-scripted entertainment when we take on My Fellow Americans (1996.)
Be there at 1030!
https://rumble.com/v7e3mv4-badlands-story-hour-ep.-180-my-fellow-americans.html
While Donald Trump has been Waging Operation Epic Fury, which is largely fake, his A-Team has been running Operation Economic Fury, which is all too real.
That's a very good thing for us, and a very bad thing for the Globalist Deep State.
My latest ...
https://burningbright.substack.com/p/revenge-of-the-real
Donald Trump's perpetuation of the STORY of the Iran War seems to have the Global Collectorate totally discombobulated.
So what is said story distracting them from?
And how is Trump winning the real war while waging a fake one?
My latest drops tonight.
https://burningbright.substack.com/
The Trump era has been defined by fake scandal after fake scandal.
Lately, the Russia Collusion Hoax is back in the news, albeit FINALLY with inverted framing.
So, why did the enemy use Russia as the anti-Trump boogeyman in the first place?
New Brief.
https://burningbright.substack.com/p/bright-brief-muh-ther-russia
We've got more disclosures out of the White House Transparency Task Force.
We've got arrests happening for paid propagandists.
And we've got a Special Grand Jury convening in Washington DC.
Should be a fun Wednesday night on the Devolution Power Hour!
https://rumble.com/v7e2v7q-devolution-power-hour-ep.-483.html
It could be argued that the modern incarnation of the Info War was kicked off with the Russia Collusion Hoax, which is coming back around in the story cycle.
So, what's the difference between Russia ... and 'MUH Russia?'
I'm glad you asked.
New Brief!
https://burningbright.substack.com/p/bright-brief-muh-ther-russia
The Controlled Opposition Dynamic doesn't work unless you control both sides of the controlled opposition.
The Uniparty is so named because, historically, it does, and most Americans have fallen for it.
Donald Trump is using it against them.
New Brief!
https://burningbright.substack.com/p/bright-brief-the-sword-of-democles
The AI Race between the US and China is not one between the US and China, but by the Us AND China against the Invisible Enemy, who are hiding in plain sight.
In the midst of all the AI syntax and industry lingo, capital expenditure trends and market booms and busts (which seem to be occurring on a daily basis of late,) I think there’s some real signal within the noise here, which is exposing two key factions in the …
On the latest episode of The Narrative, Ghost joined me for a discussion on the projected End State of Donald Trump's Iran War ... which might not be against who they say it is.
So ... who is the true Final Boss?
And how are things going for them?
https://rumble.com/v7dy3tw-the-narrative-ep.-77-the-final-boss.html
I coined the term ‘Sovereign Alliance’ five years ago.
A few years from now, it will all have seemed obvious.
But who is that alliance against?
Ghost joins me tonight to discuss the final boss, which has never been more exposed than now.
9pm!
https://rumble.com/v7dy3tw-the-narrative-ep.-77-the-final-boss.html
🔥51❤9👏4💩1
Showing the 12 most recent of 42 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.
Citation-graph rank
Citation-graph rank — 49,842 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
BioClandestine @bioclandestine · 141,033 Telegram ranks this channel #39 of 76 here — alongside 75 others — read 13 August 2026
ULTRA Pepe Lives Matter 🐸 @PepeMatter · 151,032 Telegram ranks this channel #51 of 75 here — alongside 74 others — read 12 August 2026
Ron Watkins [CodeMonkeyZ] @CodeMonkeyZ · 128,924 Telegram ranks this channel #63 of 76 here — alongside 75 others — read 13 August 2026
X22 Report Official @realx22report · 164,022 Telegram ranks this channel #67 of 76 here — alongside 75 others — read 12 August 2026
KanekoaTheGreat @KanekoaTheGreat · 119,528 Telegram ranks this channel #70 of 80 here — alongside 79 others — read 14 August 2026
We The Media @WeTheMedia · 146,452 Telegram ranks this channel #73 of 78 here — alongside 77 others — read 13 August 2026
This channel appears in 6 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Burning Bright” (@reBurningBright), 12,625 subscribers as measured 14 August 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.