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 10 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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
31 measurements spanning 42 days, net -795. 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 21,788–22,821 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 02:58
21,907
-12
15 Sept 2026, 19:20
21,919
-38
14 Sept 2026, 01:20
21,957
-51
12 Sept 2026, 05:57
22,008
-28
9 Sept 2026, 21:40
22,036
-69
6 Sept 2026, 12:58
22,105
-69
4 Sept 2026, 01:41
22,174
-48
2 Sept 2026, 16:36
22,222
-23
1 Sept 2026, 15:44
22,245
-22
31 Aug 2026, 17:44
22,267
-29
30 Aug 2026, 18:46
22,296
-60
29 Aug 2026, 18:54
22,356
-166
28 Aug 2026, 16:37
22,522
-7
27 Aug 2026, 18:56
22,529
-9
26 Aug 2026, 19:33
22,538
-10
25 Aug 2026, 16:54
22,548
-14
24 Aug 2026, 19:19
22,562
-17
23 Aug 2026, 01:36
22,579
-4
21 Aug 2026, 17:08
22,583
+4
20 Aug 2026, 15:28
22,579
first reading
Engagement
61 posts held, back to 25 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.60%
avg views ÷ 21,907 subscribers
Avg views / post
1,670
6 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
8
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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
61 (25 July 2026 – 2 September 2026)
Views total
9,995
Reactions total
203
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 12:22 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.
Reaction mix
2,209 reactions across 59 posts, in 35 distinct kinds. The most used accounts for 32.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
718
32.5%
👍
404
18.3%
🔥
330
14.9%
💯
203
9.19%
⚡
166
7.51%
🤯
134
6.07%
😐
63
2.85%
🙏
44
1.99%
👀
29
1.31%
👏
16
0.724%
🤨
13
0.589%
🤔
12
0.543%
👎
10
0.453%
🕊
9
0.407%
🗿
9
0.407%
👻
5
0.226%
🆒
4
0.181%
🎉
4
0.181%
😱
4
0.181%
🤬
4
0.181%
15 further kinds
28
1.27%
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 59 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 2,209 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 25 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.
⬛ LIBYA HAD FREE HEALTHCARE, FREE EDUCATION, AND ZERO DEBT. THEN GADDAFI PROPOSED A GOLD-BACKED CURRENCY. 26,000 NATO BOMBS LATER, THE COUNTRY HAS SLAVE MARKETS.
You were told it was about freedom. You were told it was about democracy. You were told Gaddafi was a monster. But the emails tell a different story. The gold tells a different story. And the slave markets tell a different story.
⟁
LIBYA BEFORE NATO BOMBS…
⬛ 10 COMPANIES OWN EVERYTHING YOU EAT. 3 FUNDS OWN THE 10 COMPANIES. AND YOU THINK YOU HAVE A CHOICE.
You walk into a supermarket. 40,000 products. 200 brands. Different names. Different logos. Different prices. All owned by the same 10 corporations. And those 10 corporations are owned by the same 3 investment funds. The illusion of choice — designed to simulate freedom while extracting from a single pipeline.
⟁
T…
⬛ THE FEDERAL RESERVE IS NOT FEDERAL. IT HAS NO RESERVES. AND IT OWNS YOU.
You work. You save. You pay taxes. You follow the rules. And every year, your money buys less. Your debt grows. Your future shrinks. This is not an accident. This is the design.
⟁
THE HEIST OF 1913. 🏦💰
In 1910, a group of bankers met in secret on Jekyll Island. No press. No public. No records. They drafted a plan for a central bank that wo…
⬛ WAKE UP. YOUR BRAIN IS A SLAVE TO A $200 BILLION INDUSTRY THAT SOLD YOU THE CURE FOR THE POISON IT CREATED.
You opened your eyes. You reached for the screen. You scrolled. You compared. You felt the emptiness. You reached for the pill. You felt the crash. You reached for another pill.
This is not a life. This is a loop. And every step was engineered.
⟁
THE CAGE IS NEUROCHEMICAL.
Every notification. Every like.…
Soon, you’ll know my real name.
For now, call me Mr. BlackPool | 4B.
I’ve watched from the shadows long enough.
What comes next is different.
The story begins now.
➠ MR. BLACKPOOL | 4B
🔺 FIELD LOG 17 // FILE 002
OPERATION GOLD — THE TUNNEL THE ENEMY KNEW ABOUT FROM DAY ONE.
STATUS: DECLASSIFIED / VERIFIED
I opened the blueprints of one of the boldest intelligence operations ever buried beneath a city.
In 1954, the CIA and British intelligence began digging a secret tunnel from West Berlin toward the Soviet sector. The target was not a bunker, a weapon, or a man.
It was a cable.
Hidden below t…
🚨 THE RENDELSHAM FOREST INCIDENT: THE U.S. MILITARY SAW SOMETHING LAND IN BRITAIN — THEN THE FILES DISAPPEARED.
In December 1980, U.S. Air Force personnel stationed at RAF Bentwaters and RAF Woodbridge reported a strange object descending into Rendlesham Forest in Suffolk, England. The witnesses were not tourists or anonymous internet users; they were trained military personnel responsible for securing a nuclear-capa…
🚨 THE DENVER AIRPORT IS THE NEW WORLD ORDER’S OCCULT HEADQUARTERS. THE UNDERGROUND BUNKERS ARE ALREADY PREPARED FOR THE HARVEST.
Opened in 1995 — 16 months late and $2 billion over budget — Denver International Airport (DIA) is not just a transportation hub. It is a 53-square-mile occult temple, filled with apocalyptic murals, gargoyles in suitcases, and a Masonic capstone that explicitly references the "New World Ai…
🚨 MOUNT WEATHER: THE SECRET UNDERGROUND CITY WHERE THE SHADOW GOVERNMENT WILL RULE AFTER THE COLLAPSE THEY ENGINEERED.
Located in the Blue Ridge Mountains of Virginia, Mount Weather is not just a "Continuity of Government" facility. It is a fully functional underground city, equipped with its own laws, its own leaders, and its own infrastructure, designed to house the elite while the surface world burns. Officially k…
🚨 JFK JR. DIDN'T DIE IN AN ACCIDENT. HE WAS MURDERED TO CLEAR THE WAY FOR HILLARY CLINTON AND TO STOP HIM FROM EXPOSING HIS FATHER’S KILLERS.
On July 16, 1999, John F. Kennedy Jr., his wife Carolyn, and her sister Lauren died when their light aircraft crashed into the Atlantic Ocean near Martha's Vineyard. The official cause: "pilot error" due to spatial disorientation. But JFK Jr. was an experienced pilot with hundr…
🔥16❤8👍3🤯3🕊2😐2
Showing the 12 most recent of 61 posts we hold for @q_newspatriot. 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 5 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.
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 22 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.
MedBeds Technology @MedBedsTechnologyNews · 78,700 Telegram ranks this channel #4 of 41 here — alongside 40 others — read 19 August 2026
Christian Patriot News @ChristianPatriotNews · 39,812 Telegram ranks this channel #8 of 73 here — alongside 72 others — read 30 August 2026
Nicholas Veniamin @NicholasVeniamin · 92,283 Telegram ranks this channel #8 of 71 here — alongside 70 others — read 17 August 2026
John Durham @johndurhamchannel · 24,285 Telegram ranks this channel #33 of 65 here — alongside 64 others — read 16 September 2026
Qanon Fighters @QanonFighters · 30,581 Telegram ranks this channel #43 of 58 here — alongside 57 others — read 16 September 2026
TRUTH Social @TRUTHSociaIQ · 40,930 Telegram ranks this channel #52 of 59 here — alongside 58 others — read 16 September 2026
Mel Gibson @mel_gibsonchannel · 59,687 Telegram ranks this channel #63 of 72 here — alongside 71 others — read 22 August 2026
This channel appears in 7 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“MR. BLACKPOOL | 4B” (@q_newspatriot), 21,907 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/q_newspatriot.
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.