Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 3 other registered channels. This entry also sits inside a group of 5 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 26 comparable posts for this entry, running 31 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 5 channels, the one whose matching posts we hold earliest is @ItsLetter17th. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 5 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
1 more channel is in this same group but not listed individually here.
Growth
63 measurements spanning 95 days, net +376. 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 62,055–63,136 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
9 Nov 2026, 21:07
62,809
-47
8 Nov 2026, 16:05
62,856
-37
7 Nov 2026, 11:37
62,893
-18
6 Nov 2026, 10:06
62,911
-27
5 Nov 2026, 09:46
62,938
+49
4 Nov 2026, 07:06
62,889
-19
3 Nov 2026, 08:15
62,908
-5
2 Nov 2026, 05:40
62,913
-24
1 Nov 2026, 04:50
62,937
-29
31 Oct 2026, 05:00
62,966
-31
30 Oct 2026, 01:51
62,997
-14
29 Oct 2026, 00:49
63,011
+15
27 Oct 2026, 21:04
62,996
+19
26 Oct 2026, 20:19
62,977
+21
25 Oct 2026, 19:07
62,956
+7
24 Oct 2026, 21:57
62,949
-22
23 Oct 2026, 21:16
62,971
-21
22 Oct 2026, 20:51
62,992
+87
21 Oct 2026, 16:19
62,905
+76
20 Oct 2026, 10:58
62,829
first reading
Engagement
360 posts held, back to 31 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 194 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.2%
avg views ÷ 62,809 subscribers
Avg views / post
8,290
87 posts measured
Reaction rate
2.72%
reactions ÷ views · ER floor
Posts in window
87
of 360 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 10 November 2026
Posts held
360 (31 July 2026 – 10 November 2026)
Views total
721,241
Reactions total
19,583
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Nov 2026, 21:52 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
≈2,020
Videos
≈428
Links
≈3,710
Lifetime counters from Telegram’s own channel header, read 10 November 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
3h 40m
Average length
2m 09s
Measured directly from 103 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
94,932 reactions across 360 posts, in 24 distinct kinds. The most used accounts for 38.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
36,737
38.7%
🙏
20,285
21.4%
👍
11,052
11.6%
💯
8,971
9.45%
🔥
6,782
7.14%
👏
2,656
2.80%
⚡
1,945
2.05%
❤🔥
1,476
1.55%
🥰
982
1.03%
🕊
780
0.822%
✍
741
0.781%
🍾
700
0.737%
🎉
519
0.547%
👌
370
0.39%
🏆
318
0.335%
🫡
269
0.283%
🤩
132
0.139%
😇
71
0.075%
🤝
49
0.052%
🆒
42
0.044%
4 further kinds
55
0.058%
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 360 of the 360 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 94,932 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 360 most recent posts we hold, published 31 July 2026 to 10 November 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
1,191
across the posts below
Posts paid on
355
of 360 we hold a reading for · 99%
Most on one post
202
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @MrPool_Q. 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 360 most recent posts we hold for this entry, published 31 July 2026 to 10 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 87 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🧬THE RECLAMATION OF HUMAN BIOLOGY ACTIVE. THE SILENT FREQUENCY OF THE COVENANT IS RETURNED.
The mainstream networks want you locked inside an artificial electro-magnetic grid, tracking consumer devices while your internal cellular synchronization is systematically disrupted by synthetic frequencies.
THEY ARE HIDING THE BLUEPRINT: NIKOLA TESLA MAPPED THE TRUE OUTLET TO INDEPENDENT RECOVERY IN 1899.
For decades, the…
🔻 THE IONOSPHERIC OVERRIDE ACTIVATED. THE SUPPRESSED MASTER RESONANCE IS OUT. [2026-11-10]
Mark the date. Circle the timeline node in absolute gold. The old guard has lost the encryption codes.
The corporate pharmaceutical monopolies are scrambling to package the synchronized bio-resonance technology leaks as a minor academic development. They want you tracking scripted healthcare panels and synthetic drug advertis…
🧬Your body is running at 91% damage and you're calling it "just tired."
The military healed soldiers with this frequency. Now it's in your living room.
🎁 THE PERFECT VETERANS DAY GIFT — order before Nov 11
⚠️ Batch 1 is almost gone.
ORDER NOW:
👉 rebrand.ly/SchumannResonanceQuantum
🔻THIS IS HUGE !
THE PLANETARY BLACKOUT SEQUENCE INITIALIZED. THE SHIFT NODE IS UNLOCKED. [2026-11-10]
Look past the public coordination screens tonight. Circle the precise timeline node in absolute gold: November 17, 2026.
The unprecedented, synchronized emergency decrees coming out of the United Kingdom, Norway, Germany, and Japan instructing citizens to secure independent power, water, and food cells are not rout…
🔻 THE TRUMP AUDIT COMMAND. AND THE 85/15 CHEATING ALGORITHM JUST LOST ITS FIREWALL IN BROAD DAYLIGHT.
Look directly at the algorithmic data logs officially exposed by President Donald J. Trump tonight.
The corporate mainstream networks want you tracking simulated election talk shows while you ignore the cold mathematical signatures of the midterms under command code VECTOR-8515.
PRESIDENT TRUMP JUST SHATTERED THE …
⚠️ My dad is 76.
And he still sleeps with the lights on.
50 years since Vietnam. 🇺🇸
But every night, the jungle comes back.
The rain. The helicopters.
Mom says he hasn't slept a full night since 1971. 💔
So this Veterans Day, I gave him AuraShields 🎖️
A steady 7.83 Hz field — right beside his bed.
Last night, Mom turned off the lights.
And he slept. ❤️
✅ Plug in once — runs silently all night
✅ Real copper coil, …
🔻 THIS IS HUGE !
THE BIOLOGICAL LIQUIDATION PROTOCOL. AND THE COMPROMISED CHEMICAL MONOPOLIES JUST HIT THE TERMINATION WINDOW.
Mark the date. Circle it in absolute red. The countdown clock hits zero tonight.
The corporate pharmaceutical networks are scrambling to package the massive, court-ordered data releases and internal safety registry drops as routine public health updates. They want you tracking simulated alt…
🔻 THE ENERGY GRID OVERRIDE. AND THE COMPROMISED DATA HARVESTERS JUST HIT THE TERMINATION NODE.
Mark the date. Circle it in absolute gold. The countdown clock hits zero tonight.
The corporate technology monopolies are telling you that the sudden localized utility realignments, emergency hardware drops, and mainframe server synchronization errors across the western coordinate loops are just "routine seasonal infrastru…
⚠️ The war doesn't end when they come home.
It follows them. Into the bedroom.
My son came back from his second tour.
At 3 AM, he still wakes up reaching for a rifle that isn't there.
Last week, his little girl saw him like that.
She was terrified. 💔
I know that look. I carried it for 40 years.
So this Veterans Day, I gave him AuraShields 🎖️
A steady 7.83 Hz field — right next to his bed.
Now he sleeps through t…
🔻 THE NOVEMBER 17 TIMELINE CONVERGENCE. THE OLD FIAT ENGINES AND CYBER-FIREWALLS ARE ENTERING THE TERMINATION WINDOW.
Mark the date. Circle it in absolute red. The countdown hits zero on November 17, 2026.
The corporate media networks are scrambling to package the synchronized global infrastructure warnings as disconnected administrative alerts. They want you tracking simulated news panels on your screens while you…
🛑 Most wellness gadgets ask you to blindly believe in their effects behind cheap, opaque plastic casings. True bio-engineering has absolutely nothing to hide.
Critical thinkers and high-performers do not rely on placebo hype—they demand empirical, verifiable facts.
Because a laboratory-grade 7.83 Hz Schumann atmospheric wave is completely silent and invisible to human senses, AuraShields is encased in a heavy-duty,…
🔻 THE IONOSPHERIC OVERRIDE ACTIVATED. AND THE SUPPRESSED BIO-RESONANCE ARCHIVE JUST HIT THE LIQUIDATION PHASE.
Mark the date. Circle it in deep gold. The countdown clock hits zero tonight.
The corporate pharmaceutical monopolies are telling you that chronic physical degeneration, neurological failures, and systemic biological cellular collapses are just "unavoidable chronological decay factors." They want you track…
❤108👍37🙏26💯8⚡6❤🔥5🕊3🥰3
Showing the 12 most recent of 360 posts we hold for @MrPool_Q. 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 52 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 1 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.
19TH PRESIDENT @RealTrump19 · 20,389 Telegram ranks this channel #9 of 45 here — alongside 44 others — read 25 September 2026
GREAT AWAKENING WORLD - Truth & Secrets Revealed! @greatawakeningworld · 21,572 Telegram ranks this channel #9 of 50 here — alongside 49 others — read 21 September 2026
WikiLeaks Secrets @AssangeSecrets · 24,836 Telegram ranks this channel #13 of 27 here — alongside 26 others — read 18 September 2026
Prophecies Fulfilled @PropheciesFulfilled · 34,086 Telegram ranks this channel #13 of 67 here — alongside 66 others — read 2 September 2026
TRUTH PUPS @TruthPups · 20,992 Telegram ranks this channel #16 of 62 here — alongside 61 others — read 23 September 2026
David XRP Lion @TheDavidXRPLionLive · 20,275 Telegram ranks this channel #17 of 49 here — alongside 48 others — read 4 October 2026
JFK TV @JFK_TV · 35,339 Telegram ranks this channel #36 of 59 here — alongside 58 others — read 1 September 2026
Ensinamentos da Era de Aquário @lucianocesaoficial · 34,982 Telegram ranks this channel #37 of 46 here — alongside 45 others — read 2 September 2026
Tarot By Janine Channel @TarotByJanineChannel · 53,977 Telegram ranks this channel #39 of 60 here — alongside 59 others — read 20 September 2026
Qfs Die weißen Hüte @QFSQwantum · 20,597 Telegram ranks this channel #47 of 55 here — alongside 54 others — read 26 September 2026
Best News Here @BestNewsHere · 20,319 Telegram ranks this channel #49 of 50 here — alongside 49 others — read 26 September 2026
𝗦𝗲 𝗟𝗲𝘀 𝗗𝗶𝗷𝗼 🧩 @AS_SeLesDijo · 23,003 Telegram ranks this channel #53 of 62 here — alongside 61 others — read 19 September 2026
📡 Retransmisión Bendición/Redención📽 @RetransmisionBendicionRedencion · 35,941 Telegram ranks this channel #53 of 60 here — alongside 59 others — read 1 September 2026
IL GRANDE RISVEGLIO @Unisciti_a_IGR · 19,429 Telegram ranks this channel #61 of 67 here — alongside 66 others — read 1 October 2026
GENERACIÓN CONCIENCIA @generacionconciencia · 22,201 Telegram ranks this channel #62 of 68 here — alongside 67 others — read 20 September 2026
CDs Andreas Kalcker @Cdsok · 35,626 Telegram ranks this channel #68 of 68 here — alongside 67 others — read 2 September 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
One domain this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Mr. Pool” (@MrPool_Q), 62,809 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/MrPool_Q.
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.