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 50% 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 2 other registered channels. 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 (1 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 334 comparable posts for this entry, running 4 August 2026 to 10 November 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).
Recorded under the key clone_mutual, last confirmed 11 November 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.
Growth
61 measurements spanning 97 days, net +260. 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 23,244–23,582 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 61
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:48
23,543
+3
9 Nov 2026, 07:00
23,540
+4
7 Nov 2026, 20:00
23,536
-2
6 Nov 2026, 16:56
23,538
+9
5 Nov 2026, 18:08
23,529
+7
4 Nov 2026, 16:06
23,522
-6
3 Nov 2026, 18:26
23,528
-4
2 Nov 2026, 17:29
23,532
-1
1 Nov 2026, 16:46
23,533
+7
31 Oct 2026, 15:50
23,526
+4
30 Oct 2026, 14:56
23,522
+2
29 Oct 2026, 13:15
23,520
+1
28 Oct 2026, 10:09
23,519
-6
27 Oct 2026, 10:01
23,525
+2
26 Oct 2026, 08:00
23,523
-5
25 Oct 2026, 10:41
23,528
-7
24 Oct 2026, 11:45
23,535
+3
23 Oct 2026, 10:39
23,532
-1
22 Oct 2026, 11:27
23,533
-2
21 Oct 2026, 07:39
23,535
first reading
Engagement
414 posts held, back to 4 August 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 119 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.24%
avg views ÷ 23,543 subscribers
Avg views / post
2,180
128 posts measured
Reaction rate
0.712%
reactions ÷ views · ER floor
Posts in window
128
of 414 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
414 (4 August 2026 – 10 November 2026)
Views total
278,447
Reactions total
1,983
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 02:39 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
≈9,370
Videos
≈1,980
Links
≈2,730
Lifetime counters from Telegram’s own channel header, read 11 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
1h 21m
Average length
58s
Measured directly from 84 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
6,803 reactions across 413 posts, in 15 distinct kinds. The most used accounts for 43.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
2,945
43.3%
👍
1,732
25.5%
💯
756
11.1%
❤
442
6.50%
😁
237
3.48%
🤣
196
2.88%
🙏
126
1.85%
🎉
80
1.18%
🤨
75
1.10%
❤🔥
73
1.07%
😢
61
0.897%
😱
33
0.485%
👌
32
0.47%
⚡
12
0.176%
😘
3
0.044%
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 414 of the 414 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 6,811 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 414 most recent posts we hold, published 4 August 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.
Recent posts
Telegram’s own ‘edited’ marker: 6 of 128 posts held from the last 30 days (4.69%) 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).
Очередная коробка-солянка 914 с маркерами на мины, ампульницами и переходниками собрана для спецподразделений Ахмат. Работаем!
🇷🇺Работаем! 3D печать для СВО - Умельцы Фронту Краснодар
📫Подпишись: Telegram, Max
💳Помочь каналу помогать парням! (в описании канала)
Возвращаясь к вопросам воспитания молодежи.
Один рэпер в форме военнослужащего читает про веселящий газ, второй связан с контрабандой наркотиков через границу. Еще один кумир молодежи никак не перестанет кутить в зарубежном рехабе.
Несмотря на это концерты продолжаются, бабло течет, толпы фанатов убеждают в безнаказанности денежных мешков и всесильных пачках с банкнотами.
Интересно, если у Мерца, Каллас и компании…
Трудовой понедельник. Отпечатались проставочки, снимаем урожай и трудимся дальше. Работаем!
🇷🇺Работаем! 3D печать для СВО - Умельцы Фронту Краснодар
📫Подпишись: Telegram, Max
💳Помочь каналу помогать парням! (в описании канала)
Сборный груз отправился парням на Донецкое направление.
🇷🇺 Работайте, братья!
#УФ #УФСПб #УмельцыФронту
4️⃣ Вместе - победим!
Умельцы-Фронту Санкт-Петербург
Представляю вашему вниманию интересный девайс - ложкодержатель, который пригодится людям с травмами рук. Это одна из модификаций. Вещь очень необходимая госпиталям, туда и отправится. Работаем!
🇷🇺Работаем! 3D печать для СВО - Умельцы Фронту Краснодар
📫Подпишись: Telegram, Max
💳Помочь каналу помогать парням! (в описании канала)
Всем доброго!
Ежедневно печатаем, изделия копятся. Один принтер вернули к жизни, теперь только один на больничном, остальные а строю.
Вцелом, плановая работа, ничего необычного. Скоро начнем отправлять то, что уже готово и в нужном количестве!
Подготовили ещё один пакетик деталей для турникетов.
Выражаю искреннюю благодарность доброй русской православной женщине - Екатерине Петровне за помощь с укладкой мелких изде…
Полигон - не штурм. Паркет - не блиндаж
Сан Саныч, не знаю, что вы там за "инструкторский корпус" сформировали. Вернее в рамках чего? Ваш корпус в Армии или в коммерческих проектах? Если в коммерческих, то это херня полная, никому это не нужно, кроме коммерсов, которые будут зарабатывать деньги на этом. Сформировали - круто. На полигоны действующей Армии, а если на коммерческие полигоны, то это просто не интересно.
…
Посылка в 350 полк, 3 батальон, позывной бойца Гром
Штоковые сбросники:
- 5шт на Matrice 4t
- 2шт на Autel Max 4t
- 5шт на Мавик 3
а также:
- 3шт поперечных сбросников Курьер на Matrice 4t
- 20шт на пробу звуковых маячков Скрипач для сбрасываемой провизии
———
uf22.ru | Макс | Каталог
Как помочь нам помогать бойцам
Брат Батур получил посылку от "Умельцы-фронту-Красноярск" https://t.me/uf_krs и прислал весточку с фронта! Победа будет за нами🫡!
Работаем, братья🤙!
ТОПИМ, ДО ТАЛОГО🔥!
А чем ты помог фронту, брат?
"Умельцы-фронту-Красноярск" в Макс
https://max.ru/channel_ufk
Кстати, сегодня отгрузка была тысячная по счету с мая 2023 года
Кошмар 😱
Никто не думал, что война будет такой долгой 😞
🔥6❤🔥5👍1🤨1
Showing the 12 most recent of 414 posts we hold for @makers2fron. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 104%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 414 most recent posts we hold, published 4 August 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 41 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.
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.
Русские Хакеры – Фронту @RussianHackersChannel · 46,045 Telegram ranks this channel #10 of 67 here — alongside 66 others — read 28 August 2026
ЦСП🇷🇺ВОРОН @csp_voron · 24,524 Telegram ranks this channel #13 of 63 here — alongside 62 others — read 16 September 2026
3DMP | 3д печать | 3d принтер @morozprint · 40,716 Telegram ranks this channel #16 of 49 here — alongside 48 others — read 30 August 2026
Проект «Архангел». Создание БПЛА. @projectArchangel · 21,274 Telegram ranks this channel #17 of 70 here — alongside 69 others — read 24 September 2026
STL файлы | 3д модели | для печати на 3д принтере @morozprintm · 137,115 Telegram ranks this channel #19 of 41 here — alongside 40 others — read 19 August 2026
Институт СВО / ЦСН "БАРС-САРМАТ" @svo_institute · 22,502 Telegram ranks this channel #24 of 72 here — alongside 71 others — read 24 September 2026
Гагаринг. Лаборатория электроники. @my_el_lab · 44,893 Telegram ranks this channel #31 of 76 here — alongside 75 others — read 29 August 2026
Military hub | СВО, FPV, дроны, БПЛА @mil_hub · 25,630 Telegram ranks this channel #34 of 64 here — alongside 63 others — read 14 September 2026
КЦПН. Координационный Центр Помощи Новороссии. @kcpn2014 · 35,730 Telegram ranks this channel #36 of 69 here — alongside 68 others — read 15 September 2026
Одна нога здесь, другая там! @combat_engineer · 94,087 Telegram ranks this channel #36 of 67 here — alongside 66 others — read 17 August 2026
Разработчик БПЛА @UAVDEV · 125,267 Telegram ranks this channel #43 of 82 here — alongside 81 others — read 14 August 2026
Мужик из 90-х🇷🇺 @man_90x · 34,217 Telegram ranks this channel #59 of 81 here — alongside 80 others — read 2 September 2026
Беспилот | БПЛА, дроны, роботы @bes_pilot · 43,855 Telegram ranks this channel #72 of 87 here — alongside 86 others — read 28 August 2026
This channel appears in 13 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
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.