Local community — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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
8 measurements spanning 42 days, net -20. 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 956–982 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 16:18
959
-1
10 Sept 2026, 10:17
960
-7
31 Aug 2026, 08:38
967
-3
25 Aug 2026, 00:36
970
-3
16 Aug 2026, 14:45
973
-5
8 Aug 2026, 00:51
978
-1
8 Aug 2026, 00:45
979
no change
7 Aug 2026, 17:55
979
first reading
Engagement
6 posts held, back to 29 May 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 1 page 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 6 posts for this entry, the most recent from 7 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 00s
Average length
1m 20s
Measured directly from 3 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
46 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 58.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
27
58.7%
custom 5325559344513691205
6
13.0%
custom 5364143080138086138
6
13.0%
custom 5328205125972403196
5
10.9%
👏
2
4.35%
Custom emoji. 3 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 6 of the 6 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 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 29 May 2026 to 7 June 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.
🇷🇺Я — патриот! Я — поисковик!
Два соревновательных дня, море новых знаний и эмоций! Да, это всё про нашу военно - патриотическую игру, которую наш колледж проводит при поддержке профсоюзной организации «НОВАТЭК»- Север.
Для чего? Чтобы как можно больше студентов узнали о поисковом движении, которым в нашем колледже руководит
Михаил Николаевич Очиров. Каждый год ребята отправляются в поисковые экспедиции, возвращ…
⚠️В рамках месячника антинаркотической направленности и популяризации здорового образа жизни на Ямале, а также окружной акции «Бирюзовая лента», приуроченной к Всемирному дню отказа от табака, заведующий отделением медицинской профилактики Ольга Чеботарева обсудила со студентами колледжа что скрывается за завесой никотиновой зависимости
Ольга Александровна развеяла мифы об «эйфории» от курения (включая вейпы, кальян…
Финал «Зарницы 2.0» на базе Центра развития военно-спортивной подготовки и патриотического воспитания молодежи «ВОИН»! 🔥
Это было мощно! Наша команда вернулась с целым арсеналом наград и невероятных впечатлений. Мы отлично себя показали, обрели новых друзей и доказали, что вместе можем всё.
Итог нашей поездки — 5 дипломов в копилку колледжа! 🏆
Наши достижения:
* 💪 1 место в командной «Силовой выносливости».
* 🏃…
💣Заключительным этапом конкурса регионального этапа Всероссийской военно-спортивной игры «Зарница 2.0» стало испытание под названием «Тактическая игра на местности».
Испытание «Тактическая игра на местности» стало настоящим вызовом для всех участников. Команды должны были продемонстрировать свои способности в условиях, приближенных к реальным.
🔥Сегодня наши парни и девчонки снова провели день насыщенно и с пользой!
В рамках конкурса «Зарница 2.0» ребята приняли участие в мастер-классе по тактической подготовке и соревнованиях по лазертагу. Девочки, в свою очередь, освоили основы тактической медицины.
Кроме того, для участников состоялась встреча с героем специальной военной операции, который поделился своим опытом. Также ребята проявили свои знания и сме…
💣Этот день ребята запомнят надолго!
Сегодня наши студенты прошли первый конкурсный день «Зарница 2.0»! Это было настоящее испытание на прочность, командный дух и профессионализм.
В программе соревнований — и индивидуальные, и командные испытания. Наши ребята показали себя в:
- 🏃♂️ Военизированной эстафете.
- 💪 Силовой выносливости.
- 🩹 Тактической медицине.
- 🎯 Огневой подготовке.
- ☣️ РХБЗ (радиационная, химиче…
🔥3custom 53641430801380861381
Showing the 6 most recent of 6 posts we hold for @gbpouyanaotspc. 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Тарко-Салинский колледж” (@gbpouyanaotspc), 959 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/gbpouyanaotspc.
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.
