International news — 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 19 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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.
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.
Views per post sit far above this size band
22,700 average views per post against 23,708 subscribers — an engagement rate of 95.5%. Across the 462 registered channels in the same cohort — 10,862–31,584 subscribers, posting mainly in Ukrainian — the middle half sit between 10.7% and 27.6%, with a median of 18.4%.
What this was computed from
Window
30 days (24 September 2026 – 24 October 2026)
Posts measured
26 of 26 published in the window (0 exact, 26 rounded by Telegram)
Views totalled
588,900
Mature posts only
98.9% over 25 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 24 October 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
48 measurements spanning 79 days, net +922. 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 22,647–23,849 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)
Subscribers
Change
23 Oct 2026, 23:25
23,708
-2
23 Oct 2026, 00:47
23,710
+18
21 Oct 2026, 22:26
23,692
+11
20 Oct 2026, 15:39
23,681
+5
19 Oct 2026, 17:57
23,676
+9
18 Oct 2026, 15:59
23,667
+47
17 Oct 2026, 14:58
23,620
+58
16 Oct 2026, 11:26
23,562
+8
15 Oct 2026, 14:28
23,554
-2
14 Oct 2026, 15:59
23,556
+9
13 Oct 2026, 07:38
23,547
+17
9 Oct 2026, 03:56
23,530
+59
4 Oct 2026, 13:54
23,471
-11
26 Sept 2026, 06:57
23,482
+232
19 Sept 2026, 07:36
23,250
+5
16 Sept 2026, 21:59
23,245
+20
15 Sept 2026, 02:59
23,225
+8
13 Sept 2026, 09:56
23,217
+22
11 Sept 2026, 12:18
23,195
+62
8 Sept 2026, 18:39
23,133
first reading
Engagement
86 posts held, back to 16 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 100 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
95.5%
avg views ÷ 23,708 subscribers
Avg views / post
22,700
26 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
26
of 86 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 23 October 2026
Posts held
86 (16 July 2026 – 23 October 2026)
Views total
588,900
Reactions total
7,375
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
23 Oct 2026, 22:14 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
1h 20m
Average length
1m 08s
Measured directly from 71 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
24,657 reactions across 85 posts, in 20 distinct kinds. The most used accounts for 52.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
12,870
52.2%
❤
6,995
28.4%
👍
3,221
13.1%
🫡
555
2.25%
👏
319
1.29%
🙏
164
0.665%
😢
110
0.446%
😁
86
0.349%
❤🔥
62
0.251%
💘
46
0.187%
🤔
46
0.187%
🤩
36
0.146%
😍
35
0.142%
🕊
34
0.138%
🥰
29
0.118%
👌
16
0.065%
💔
13
0.053%
😭
13
0.053%
😱
4
0.016%
💯
3
0.012%
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 86 of the 86 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 24,911 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 86 most recent posts we hold, published 16 July 2026 to 23 October 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
2,210
across the posts below
Posts paid on
62
of 86 we hold a reading for · 72%
Most on one post
58
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @umftteam. 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 86 most recent posts we hold for this entry, published 16 July 2026 to 23 October 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.
Туши його, нах*й!
Бійці SIGNUM за допомогою FPV-дронів відпрацювали по різній техніці противника на тимчасово окупованій території Донбасу.
Частину цілей уразили просто під час руху, іншу виявили в зеленці, де окупанти намагалися її сховати.
Ураження техніки в тилу порушує постачання, ускладнює пересування противника й позбавляє його ресурсів, необхідних для ведення бойових дій.
Усе, що допомагає окупантам воюват…
окупанти використовують манекени власної піхоти на Лиманському напрямку!
Поки росіяни розставляють муляжі, пілоти SIGNUM знаходять та ефектно знищують реальну живу силу противника.
Бійці батальйону неодноразово демонстрували вам високу якість своєї роботи. Навіть там, де противника не видно, наші пілоти виявляють його та ліквідовують.
Витрачати дрони на манекени точно не збираємося🫡
Натомість — до вашої уваги тра…
Від Netflix до полювання на «Шахеди» 🎬🛵
25 років тому Олексій «Фотограф» і Євген «Бублик» познайомилися в київському скутер-клубі. Один знімав комерційні відео й музичні кліпи, а також професійно займався фотодокументалістикою. Інший працював над серіалом Netflix за участю голлівудських акторів.
Повномасштабна війна змінила їхні життя. Тепер обидва служать у батальйоні SIGNUM і полюють на російські дрони.
Як випад…
рускій ваєнний корабль, це ти?🛥️
Дронарі SIGNUM системно масштабують застосування мідлстрайк-дронів, знищуючи військовий потенціал окупантів далеко за лінією фронту.
Це дозволяє діставати цілі, які безпосередньо впливають на здатність ворога наступати й оборонятися.
У цьому відео зібрали ураження, які заслуговують на окремі оплески. Тут і судно, і мобільні вогневі групи, фура, легкові та вантажні автомобілі. А ще …
Щодня — нові заявки. Щодня — ті, хто обирає SIGNUM!
Служити в батальйоні безпілотних систем SIGNUM — це честь, відповідальність і готовність ставати професіоналом своєї справи.
У відео знайомимо вас із Тором. Він уже подолав шлях від заявки до зарахування в підрозділ: співбесіду, навчання та відбір. Про його бойові здобутки говорити поки зарано, але Тор старанно виконує свої завдання.
Мої враження від підрозділу н…
російська логістика переходить на педалі? 🚲
Ми навіть не знаємо, що коментувати в цьому відео першим: потужну лупку по-сігнумськи по ворожій піхоті, знищення техніки чи велосипед, обвішаний ПТРК.
Як бачите, російський транспорт до переднього краю не доїжджає. Пілоти SIGNUM знищують його ще далеко на підступах. Альтернативою довгий час були мотоцикли, але цього разу росіяни здивували нас іще більше.
Тож єдине, що м…
Повний пікап під*рів. Жорсткі, але справедливі кадри від пілотів SIGNUM 🔞
Бійці батальйону SIGNUM вполювали росіян просто на ходу в пікапі. Кажуть, що на роботі люди згорають. Наші пілоти знають про це дещо більше — і мають відеопідтвердження🔥
Ще відпрацювали по різній ворожій техніці, яка перевозила майно. Під приціл потрапила й мобільна вогнева група, яку також зупинили на ходу.
Кадри — 🍯🫠
🗡Instagram | X | YouT…
Приречені на смерть, або остання осіння прогулянка російської піхоти 🇷🇺
Пілоти SIGNUM вчасно виявляють та ліквідовують противника на Лиманському напрямку.
З кожним днем шансів залишитися непоміченими в окупантів дедалі менше. Листя опадає, зеленка рідшає, а разом із нею зникає й природне укриття, за яким окупанти звикли ховатися.
У відео — ефектні кадри знищення противника за допомогою дронів на оптоволокні.
🗡Ins…
Локомотив, мобільні вогневі групи, фура. Є контакт! 🔥
Пілоти батальйону SIGNUM стають поперек горла противнику навіть у глибокому тилу.
Цього разу відпрацювали по лісовозу, КамАЗу, локомотиву, блокпосту з мобільною вогневою групою та ще двох МВГ. Під ударом опинилися також фура, дві вантажівки, бойова броньована машина, Газель та автокран.
Від залізниці до автотранспорту, від вогневих груп до бронетехніки — пілоти…
Нічне полювання на крила!
Пілоти SIGNUM посадили 25 ворожих БпЛА різних типів під час повітряного патрулювання неба.
Серед збитих цілей — 8 «Зала», 4 «Ланцети», 5 «Суперкамів», 4 «КВО», 1 «Мерлін», 2 «Орлани» та 1 БМ-70.
Кожен приземлений борт — це мінус одна загроза для наших воїнів і цивільних.
Українське небо — не звалище для російського залізяччя!
🗡Instagram | X | YouTube | Facebook | Телеграм
💵Підтримай во…
АвтоRIP по-Сігнумськи!
У відео — точні влучання по різному автомотлоху росіян, включно із самими окупантами та речами, які вони перевозили.
За перевищення швидкості на наших українських землях треба платити. А за спроби возити особовий склад, боєкомплект і забезпечення — ще й особливо дорого.
Пілоти SIGNUM не виписують штрафів. Вони одразу анулюють!
🗡Instagram | X | YouTube | Facebook | Телеграм
💵Підтримай вогон…
🔥229❤38👍26👏5
Showing the 12 most recent of 86 posts we hold for @umftteam. 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 35 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 18 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.
AEROBOMBER_UA @aerobomber_ua · 29,626 Telegram ranks this channel #38 of 84 here — alongside 83 others — read 7 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Signum (добровольчий підрозділ)(uk.wikipedia.org) “…(Україна)|53 окремої механізованої бригади]]{{Cite web|url=https://t.me/umftteam/403|title=SIGNUM|website=Telegram|access-date=2024-12-10}}…” read 13 September 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 23 October 2026 — this
entry's latest reading, not the date you are reading this.
“SIGNUM” (@umftteam), 23,708 subscribers as measured 23 October 2026. Telegram Register, tgregister.com/channel/umftteam.
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.