28 measurements spanning 28 days, net -231. 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 14,276–14,577 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
3 Sept 2026, 21:22
14,311
-17
2 Sept 2026, 13:04
14,328
-9
1 Sept 2026, 09:44
14,337
-13
31 Aug 2026, 10:58
14,350
-11
30 Aug 2026, 11:53
14,361
-8
29 Aug 2026, 13:58
14,369
-7
28 Aug 2026, 14:54
14,376
-8
27 Aug 2026, 15:43
14,384
-2
26 Aug 2026, 15:42
14,386
-9
25 Aug 2026, 17:54
14,395
-11
24 Aug 2026, 19:16
14,406
-9
23 Aug 2026, 02:39
14,415
-10
21 Aug 2026, 15:36
14,425
-9
20 Aug 2026, 14:36
14,434
-14
19 Aug 2026, 13:26
14,448
-13
18 Aug 2026, 15:06
14,461
-3
17 Aug 2026, 13:48
14,464
-9
16 Aug 2026, 08:02
14,473
-15
14 Aug 2026, 20:55
14,488
-10
13 Aug 2026, 12:59
14,498
first reading
Engagement
41 posts held, back to 28 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 51 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.96%
avg views ÷ 14,311 subscribers
Avg views / post
281
22 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
22
of 41 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 16 August 2026
Posts held
41 (28 July 2026 – 16 August 2026)
Views total
6,182
Reactions total
112
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 18:49 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
49m 39s
Average length
1m 28s
Measured directly from 34 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
172 reactions across 41 posts, in 9 distinct kinds. The most used accounts for 45.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
78
45.3%
🔥
36
20.9%
💯
25
14.5%
👏
11
6.40%
🙏
8
4.65%
🏆
7
4.07%
⚡
3
1.74%
🤯
3
1.74%
👍
1
0.581%
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 41 of the 41 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 172 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 28 July 2026 to 16 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.
Former Far-Left liberals says the Democratic Socialists of America is lying to all of us
She exposes the truth, the DSA is not about bettering life for working people
- The DSA's own membership is 85% white
- The average age is 33
- 80% of them have college degrees
“We're not talking about factory workers here. These are grad students. They are nonprofit staffers. They are people with master's degrees in sociology…
🚨BOOM🚨👁🗨⏰The Epstein file is far more horrific than you think, which only makes it clearer why they had to start a whole new war so you could forget about it.⚔️💥😱
👇THIS IS JFK JR’S OFFICIAL COMMAND CHANNEL
https://t.me/JFKJRCOMMANDCENTER✅️
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final letters are being released through this channel only
https://t.me/The17thL…
🚨 UPDATE: Florida Governor Ron DeSantis just said the states should band together for a federal BALANCED BUDGET AMENDMENT so that DOGE cuts are FORCED to be codified
Yes! This would be HUGE for the future of our republic 🇺🇸
DESANTIS: "If Congress had to balance the budget then it could have easily folded in the DOGE recommendations."
Around 29 states have filed so far. We need 34 to FORCE it!
Join and share: http…
Robin Williams admitting what we all know
👇THIS IS JFK JR’S OFFICIAL COMMAND CHANNEL
https://t.me/JFKJRCOMMANDCENTER✅️
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final letters are being released through this channel only
https://t.me/The17thLetter✳️
https://t.me/The17thLetter✳️
"White supremacy is one of the worst things ever created by man" — Heidi Beirich, CFO SPLC
She just got arrested for funding the KKK
Join and share: https://t.me/QanonBoom
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final letters are being released through this channel only
https://t.me/The17thLetter✳️
https://t.me/The17thLetter✳️
🚨 What if half the “tumors” doctors call cancer… aren’t cancer at all?
Dr. Bryan Ardis drops a line that should make every oncology textbook blush: “They’re not tumors — they’re parasitic egg sacs. ”He claims up to 50% of what gets labeled as cancerous tumors or polyps in his experience were actually clusters of parasite eggs — liver flukes, blood flukes, digestive invaders — quietly feeding off the host and forming…
The CAPTURED FDA just approved Moderna's mRNA flu injection despite it causing 294% MORE SEVERE SYSTEMIC REACTIONS than the already hazardous traditional flu shot.
mRNA flu shot recipients suffered a 75.3% ADVERSE REACTION RATE, and there was NO placebo group in the trial.
Join and share: https://t.me/QanonBoom
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside this channel
The final le…
Dr. Naomi Wolf: “COVID VACCINES caused MASS HYPNOSIS. Two-thirds of the population no longer has the ability to reason, the shots DAMAGED the BRAIN.”
Two-thirds of humanity can’t think straight anymore.
They don’t react.
They don’t question.
They just… obey.
👇THIS IS JFK JR’S OFFICIAL COMMAND CHANNEL
https://t.me/JFKJRCOMMANDCENTER✅️
🚨BREAKING: JFK IS ALIVE AND POSTING RIGHT NOW
He is personally posting inside th…
An outraged Ainsley Earhardt says the RAGE of mothers who lost unborn babies to the COVID shot is going to unleash HELL on “the experts” who told us it was safe.
Now even people like Meghan McCain are saying Fauci needs to be JAILED.
EARHARDT: “This is going to open a whole new can of worms. People are going to SUE because they’re going to be so upset about this.”
“They lost their children... How many children are…
THE FRAUD OF MODERN EGYPTOLOGY WAS SHATTERED BY A FEW SIMPLE TEENAGERS AND THE GOVERNMENT WENT INTO ABSOLUTE PANIC! 🚨🇪🇬👁
They force us to idolize their outdated textbooks, selling us the pathetic tale that the pyramids were built with copper hammers and ropes.
A disgusting lie designed to hide our true origin! In the year two thousand sixteen, a group of young people smashed through their damn military security fe…
For the first time in modern American history, the President of the United States is being blocked from making any recess appointments.
The backstabber John Thune has sent senators home for 37 days for the August recess—but has scheduled 11 pro forma sessions to BLOCK President Trump from making recess appointments.
Ronald Reagan: 240
George H. W. Bush: 77
Bill Clinton: 139
George W. Bush: 171
Barack Obama: 32
Dona…
WHISTLEBLOWER Gail Macrae: "I am a registered nurse with years on the front lines...ZERO patients died FROM COVID.
They were KILLED by Remdesivir and ventilators.
Hospitals were half-empty the entire time.
But the deadly protocols, forced isolation from family, and experimental drugs kept rolling — because every “COVID label” meant massive government bonuses.
This wasn’t medicine.
This was MURDER FOR MONEY.
Patie…
❤3💯3
Showing the 12 most recent of 41 posts we hold for @QanonBoom. 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 3 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
3
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
3
vacant every time we have ever looked
@QanonBoom named 3 handles 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.
@antarcticahiddentech named in 5 posts, 8 August 2026 – 9 August 2026
@freeenergyrevealed named in 5 posts, 8 August 2026 – 9 August 2026
@zeropointdisclosure named in 5 posts, 8 August 2026 – 9 August 2026
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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“Qanon Boom” (@QanonBoom), 14,311 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/QanonBoom.
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.