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 11 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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
13 measurements spanning 40 days, net -119. 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 8,490–8,645 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 07:39
8,508
-7
11 Sept 2026, 07:41
8,515
-13
6 Sept 2026, 07:20
8,528
-21
1 Sept 2026, 19:04
8,549
-14
29 Aug 2026, 18:53
8,563
-7
26 Aug 2026, 10:32
8,570
-13
23 Aug 2026, 13:04
8,583
-7
19 Aug 2026, 18:09
8,590
-7
16 Aug 2026, 08:38
8,597
-12
12 Aug 2026, 21:54
8,609
-7
10 Aug 2026, 04:54
8,616
-11
6 Aug 2026, 10:18
8,627
no change
6 Aug 2026, 10:01
8,627
first reading
Engagement
20 posts held, back to 28 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 27 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 1 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
34m 45s
Average length
3m 52s
Measured directly from 9 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
2,377 reactions across 20 posts, in 22 distinct kinds. The most used accounts for 42.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,011
42.5%
🔥
432
18.2%
❤
376
15.8%
🫡
239
10.1%
🙏
105
4.42%
🥰
54
2.27%
custom 5289988171965145770
49
2.06%
🤝
38
1.60%
👏
23
0.968%
🍾
11
0.463%
🏆
9
0.379%
❤🔥
7
0.294%
🎅
5
0.21%
😁
4
0.168%
🤷♂
4
0.168%
🤩
3
0.126%
😘
2
0.084%
💯
1
0.042%
😍
1
0.042%
😱
1
0.042%
2 further kinds
2
0.084%
Custom emoji. One row above is a 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 count beside it is 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 20 of the 20 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 2,377 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 28 December 2025 to 1 August 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
7
across the posts below
Posts paid on
4
of 20 we hold a reading for · 20%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vog25ru. 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 20 most recent posts we hold for this entry, published 28 December 2025 to 1 August 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.
Десант- это символ мужества, героизма и невероятной отваги!🇷🇺
Это концентрированная воля, сильный характер и умение идти на риск!🇷🇺
Это элита Вооружённых сил, которая всегда с честью преодолевает суровые испытания вооружённых конфликтов и служащая надёжной опорой государства!🇷🇺🇷🇺
Это те, кто носит в себе мужество высшего класса, храбрость первой категории и боевую готовность номер один!🇷🇺
Тот, кто носит, или ког…
Сквозь шторм свинца,
Сквозь ураган огня,
Сквозь смерть саму прошли,
Не зная брода....
Весь мир не может до сих пор понять-
Как их хватило на четыре года?!
ДЕНЬ ПАМЯТИ И СКОРБИ!🙏🕯️🫡
ДЕНЬ ПОБЕДЫ- это слёзы огромной радости, это слёзы огромного горя!!! Каких слёз больше??? На этот вопрос очень сложно ответить...
Одно ясно: ДЕНЬ ПОБЕДЫ- это счастье, за которым годы страданий...
Наш враг, пиная русскую душу ногами, должен всегда помнить про 9 МАЯ!!!
Мы русские и все наши недруги должны запомнить навек, что лишь тогда встаём мы на колени, когда целуем РУССКИЙ ФЛАГ!
Война ужасна....и наш народ, зная…
БЫТЬ ЗАЩИТНИКОМ- это не просто почётная обязанность, это состояние души, когда чувствуешь ответственность за тех, кто рядом!
БЫТЬ ЗАЩИТНИКОМ- это значит быть мужественным, надёжным, верным, сильным духом, мудрым, стойким, смелым, решительным, благородным!
Всем тем, кто носит это гордое звание, мы желаем крепкого здоровья, как броня, счастья, которое не знает границ, отсутствия жизненных бурь! Пусть Ваше сердце буд…
Написать нам можно через кнопку "Чат" или по ссылке: t.me/poletny?direct
Русский производитель лучших аккумуляторов для беспилотников и не только ;)
https://t.me/poletny
ДОБРЫЙ ВЕЧЕР, ДРУЗЬЯ!
ЕСТЬ У НАС ЗАМЕЧАТЕЛЬНЫЕ ПАРНИ, КОТОРЫЕ ПРОИЗВОДЯТ АККУМУЛЯТОРЫ ДЛЯ БЕСПИЛОТНИКОВ И НЕ ТОЛЬКО!
РЕБЯТА ГОТОВЫ ПОДРОБНО РАССКАЗАТЬ О СВОЕЙ ПРОДУКЦИИ, НУ И КОНЕЧНО ЖЕ ЕЮ ПОДЕЛИТЬСЯ!
ВЫ ВСЕГДА МОЖЕТЕ ИМ НАПИСАТЬ И ПОЛУЧИТЬ ОТВЕТЫ, НА ИНТЕРЕСУЮЩИЕ ВАС ВОПРОСЫ!⬇️
ВЕЧЕР ДОБРЫЙ, ДОРОГИЕ НАШИ ПОДПИСЧИКИ!
Как Вам всем известно, недавно у нас был объявлен сбор на портативную станцию. На сегодняшний день, мы можем с радостью сказать о том, что необходимая сумма была собрана и станция приобретена!!! Каждый из Вас понимает, что всё это стало возможным, благодаря тем людям, кому не безразлична наша судьба и наши проблемы, тем, кто не смотря на свои трудности, пытается сделать доброе…
«Небо славян»
Мастерство операторов представляет собой не просто высококлассное техническое выполнение, но и настоящее искусство, требующее максимальной концентрации, стратегического мышления и координации. Каждый кадр, снятый в таких условиях, раскрывает сложность самой задачи — точность, скорость реакции и четкость действий в условиях реального времени.
«ВАРЯГЪ»
Далеко не секрет для всех, что лишив глаз на небе врага, гораздо проще продвигаться к заданной цели.
За 4 года СВО наши операторы не стоят на достигнутом, а постоянно повышают свои навыки и подход к каждой задаче. Благодаря такой работе, у наших воинов более безопасные: штурмовые действия, подвоз БК, продовольствия и т.д.
За 4 месяца более 200 птичек (по типу Mavic), а также 35 агрокоптеров (Баба-Яга) было сбито о…
👍162🔥66❤20🏆6custom 52899881719651457704🎅2❤🔥1💯1
Showing the 12 most recent of 20 posts we hold for @vog25ru. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
Names
Channels on the register whose handles appear in this channel's posts.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@vog25ru named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@varyag_247 named in 10 posts, 8 August 2026 – 23 August 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“VOG-25 RUSSIAN” (@vog25ru), 8,508 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/vog25ru.
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.