International news — 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 95% 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
34 measurements spanning 50 days, net -172. 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 25,967–26,299 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
25 Sept 2026, 06:02
26,089
+84
19 Sept 2026, 00:22
26,005
-6
16 Sept 2026, 18:02
26,011
-12
14 Sept 2026, 18:22
26,023
-7
13 Sept 2026, 07:59
26,030
-20
11 Sept 2026, 09:17
26,050
-17
8 Sept 2026, 15:00
26,067
-15
5 Sept 2026, 08:17
26,082
-16
3 Sept 2026, 10:12
26,098
+5
2 Sept 2026, 03:43
26,093
-1
1 Sept 2026, 04:34
26,094
+3
31 Aug 2026, 07:26
26,091
-11
30 Aug 2026, 09:05
26,102
-5
29 Aug 2026, 07:36
26,107
-4
28 Aug 2026, 05:13
26,111
-14
27 Aug 2026, 03:33
26,125
+2
26 Aug 2026, 06:43
26,123
+2
25 Aug 2026, 03:44
26,121
-2
23 Aug 2026, 21:47
26,123
-20
22 Aug 2026, 03:45
26,143
first reading
Engagement
172 posts held, back to 14 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.30%
avg views ÷ 26,089 subscribers
Avg views / post
2,160
110 posts measured
Reaction rate
2.21%
reactions ÷ views · ER floor
Posts in window
110
of 172 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 October 2026
Posts held
172 (14 July 2026 – 2 October 2026)
Views total
238,080
Reactions total
5,270
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 03:56 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
≈5,510
Videos
≈4,470
Links
≈5,280
Lifetime counters from Telegram’s own channel header, read 2 October 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
50m 32s
Average length
30s
Measured directly from 101 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
10,484 reactions across 171 posts, in 38 distinct kinds. The most used accounts for 33.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
3,494
33.3%
👍
2,480
23.7%
❤
1,155
11.0%
🙏
920
8.78%
💯
368
3.51%
🍾
315
3.00%
🤬
247
2.36%
👏
218
2.08%
custom 5269763467321038546
210
2.00%
🫡
175
1.67%
✍
132
1.26%
😈
119
1.14%
custom 5222322276476673116
107
1.02%
🤣
74
0.706%
🤔
72
0.687%
🎉
54
0.515%
❤🔥
40
0.382%
👀
40
0.382%
😁
37
0.353%
⚡
29
0.277%
18 further kinds
198
1.89%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 172 of the 172 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 10,604 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 172 most recent posts we hold, published 14 July 2026 to 2 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
17
across the posts below
Posts paid on
15
of 172 we hold a reading for · 9%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @don_partizan. 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 172 most recent posts we hold for this entry, published 14 July 2026 to 2 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.
🇷🇺🇺🇦 Сумы: удар FPV-дрона — грузовой автомобиль уничтожен огнём
01.10.2026 20:25
📍50.9141146, 34.8368864
FPV-дрон на оптоволоконном управлении поразил грузовой автомобиль в районе улицы Черепина в результате чего возникло возгорание транспортного средства. Первоначальная информация о пострадавшем водителе подтверждения не получила. Таким образом, удар привёл к поражению и фактическому выведению из строя грузового а…
🇷🇺🇺🇦 Киев: Южный мост снова закрыт, но заявленные повреждения пока не выглядят критическими для сооружения такого класса
После очередного удара по Южному мосту в Киеве движение метро и наземного общественного транспорта вновь остановлено. По предварительной информации, повреждены мостовая опора, отбойник, дорожное полотно и защитное бетонное ограждение метрополитена. Масштаб повреждений ещё уточняется. Однако с инже…
Такое впечатление, что мост в этом случае, как важная логистическая артерия — это далеко не самое главное объяснение ударов. Что думаете?
Связь — @don_partizan_bot
Ваш, ПартиꙂан!
🇷🇺🇺🇦 Киев: повторный удар по Южному мосту — воздействие продолжается по одному и тому же мостовому комплексу
Сегодня вечером по Южному мосту в Киеве нанесён повторный удар. На новом кадре зафиксирован интенсивный пожар в центральной части перехода — в районе вантового пилона и прилегающего участка пролётного строения.
📍50.3947376, 30.5913904
Именно повторяемость здесь становится главным фактором. После дневных поп…
🇷🇺🇺🇦 Краматорск: после удара FPV-дрона полностью выгорел военный Nissan Patrol
01.10.2026 14:10
📍48.7403610, 37.6002105
По улице Дружбы произошёл удар FPV-дрона с боевой частью по припаркованному автомобилю Nissan Patrol. В результате удара автомобиль полностью уничтожен огнём.
📌Если Вы владеете информацией, которая сможет помочь в оценке результатов ударов или любыми другими важными данным сообщайте в бот @don_pa…
🇷🇺🇺🇦 Павлоград: «Герань-5» поразила центр обработки данных «ДТЭК Павлоградуголь»
01.10.2026, около 17:59
В Павлограде Днепропетровской области реактивным БПЛА «Герань-5» нанесён удар по зданию, в котором размещался центр обработки данных «ДТЭК Павлоградуголь».
📍48.5316210, 35.8622674
После попадания в здании начался крупный пожар. Огонь охватил сразу несколько уровней, что указывает на серьёзное повреждение внутре…
🇷🇺🇺🇦 Краматорск: в результате удара FPV-дрона повреждены Skoda Superb и Peugeot
01.10.2026 18:00
📍48.7366129, 37.5874730
По улице Социалистической нанесен удар с применением FPV-дрона с боевой частью вблизи припаркованных автомобилей. У Skoda заметны повреждения боковой части кузова, у Peugeot практически полностью разбито лобовое стекло. На прилегающей территории разбросаны обломки.
📌Если Вы владеете информацией,…
🇷🇺🇺🇦 Краматорск: удар FPV-дрона — повреждён Fiat Ducato
01.10.2026 около 15:15
📍48.7365165, 37.5878445
FPV-дрон нанес удар вблизи припаркованного автомобиля Fiat Ducato. На фотографии видны многочисленные пробоины и вмятины на боковой части кузова, характерные для осколочного воздействия.
📌Если Вы владеете информацией, которая сможет помочь в оценке результатов ударов или любыми другими важными данным сообщайте в …
🇷🇺🇺🇦 Харьковский участок фронта: освобождение четырёх населённых пунктов и расширение зоны контроля в Харьковской области
🔻Подразделения ВС РФ продвинулись в районе Варваровки, расширив зону контроля на данном участке фронта.
🔻В результате активных наступательных действий российские силы освободили населённый пункт Шабельное.
🔻Штурмовые подразделения ВС РФ также освободили Рубленое и Нестерное, продолжив расширени…
🇷🇺🇺🇦 Киев: удар по территории Института ядерных исследований — что известно о реакторе ВВР-М
30 сентября около 18:18 БПЛА нанёс удар по территории Института ядерных исследований Национальной академии наук Украины в Киеве. На территории объекта возник пожар, который впоследствии был ликвидирован.
📍50.3866262, 30.5321364
🔻Событие получило особое внимание из-за расположенного на территории института исследовательског…
🇷🇺🇺🇦Киев: два удара по Южному мосту — начинается ли отдельная отработка переправ через Днепр
1 октября в Киеве зафиксирована серия ударов по Южному мостовому переходу через Днепр. По имеющимся у нас видеоматериалам речь идёт как минимум о двух разнесённых эпизодах: один пришёлся в район пролётного строения, второй — в непосредственную близость к пилону и примыкающему участку мостового полотна.
📍50.3948051, 30.58993…
🇷🇺🇺🇦 Сумы: «Молния» поразила территорию АЗС AMIC
01.10.2026, 09:57
Ударный БПЛА типа «Молния» поразил территорию АЗС AMIC на улице Черепина.
📍50.9074601, 34.8446578
Попадание пришлось непосредственно по территории заправочного комплекса. В результате повреждено здание операторской АЗС. Возгорания после удара не зафиксировано. Дополнительная информация о характере повреждений и обстоятельствах поражения объекта уто…
🔥33👍9✍6❤1🏆1👏1🤬1🫡1
Showing the 12 most recent of 172 posts we hold for @don_partizan. 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 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Расширяем географию работы. А какие регионы вы хотите видеть у нас чаще?
Сумская и Черниговская области5%
Харьковская область9%
Днепропетровская и Запорожская области14%
Николаевская и Одесская области11%
Киев и Киевская область10%
Центральные области4%
Западные области21%
Нужно охватывать всю страну равномерно26%
Shares as published. No per-option vote count is published by Telegram, so none is 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 172 most recent posts we hold, published 14 July 2026 to 2 October 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 23 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.
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.
List of active Ukrainian Navy ships(en.wikipedia.org) “…in combat in 2024.{{Cite web |title=Донбасский Партизан |url=https://t.me/don_partizan/5359 |access-date=2025-05-19 |website=Telegram}}
Former…” 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Донбасский Партизан” (@don_partizan), 26,089 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/don_partizan.
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.