Other / unclassifiable — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 44% 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
10 measurements spanning 39 days, net -16. 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 1,250–1,270 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 19:19
1,252
-2
12 Sept 2026, 02:02
1,254
-5
7 Sept 2026, 15:40
1,259
-2
2 Sept 2026, 19:59
1,261
-1
27 Aug 2026, 11:08
1,262
+1
20 Aug 2026, 22:08
1,261
-2
17 Aug 2026, 20:47
1,263
-3
14 Aug 2026, 16:08
1,266
-2
7 Aug 2026, 22:47
1,268
no change
7 Aug 2026, 12:09
1,268
first reading
Engagement
5 posts held, back to 23 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 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 5 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 35s
Average length
1m 48s
Measured directly from 2 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
98 reactions across 5 posts, in 7 distinct kinds. The most used accounts for 49.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
48
49.0%
🔥
20
20.4%
custom 5409187172425144685
12
12.2%
custom 5420323159335254982
10
10.2%
🏆
5
5.10%
🦄
2
2.04%
custom 5472411062412254753
1
1.02%
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 5 of the 5 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 98 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 23 July 2026 to 6 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.
Юные пилоты из Адыгеи вошли в число лучших на первенстве Южного федерального округа по гонкам дронов. Соревнования прошли в Ростове-на-Дону. Сборная завоевала 11 наград, а победители теперь готовятся представить республику на всероссийском уровне.
ЛБШ и ЛХШ-2026 в кадре!
Пока участники продолжают изучать биологию и химию, работать в лабораториях и исследовать природу Адыгеи, мы делимся небольшой подборкой фотографий со школы.
А ещё больше ярких моментов уже ждут вас в полном фотоальбоме:
🔗 https://vk.ru/album-183276164_309950242
Полярис - Адыгея | Мы в Max
🚁 Сборная Республики Адыгея — среди сильнейших на Первенстве ЮФО по гонкам дронов!
С 24 по 26 июля в Ростове-на-Дону прошло Первенство Южного федерального округа по гонкам дронов. Спортсмены сборной Республики Адыгея достойно представили регион и завоевали 11 медалей:
🥇 5 золотых
🥈 4 серебряные
🥉 2 бронзовые
🏆 Настоящим украшением соревнований стало выступление Елены и Анастасии Синицыных.
Елена Синицына стала об…
🌿 Первая неделя пролетела незаметно!
Кажется, совсем недавно мы встречали участников Летней биологической и химической школ, а позади уже целая неделя занятий, практики, экскурсий, экспериментов, новых знакомств и ярких открытий.
Мы собрали для вас небольшое видео, чтобы показать, чем жили ребята эти семь дней и какой насыщенной получилась первая неделя в «Горной Легенде». 🎥
📸 А ещё подготовили большой фотоальбом,…
От Астрахани до Москвы мы встречаем участников ЛБШ и ЛХШ!
Сегодня на базе Адыгейского государственного университета «Горная Легенда» состоялось торжественное открытие IX Летней биологической и V Летней химической школ.
В этом году школа объединила 82 участника из восьми регионов России: Астраханской, Московской, Тульской, Оренбургской и Волгоградской областей, Москвы, Ставропольского края и Республики Адыгея.
Впер…
❤18🔥4🦄2custom 54203231593352549822
Showing the 5 most recent of 5 posts we hold for @polaris_adygea_01. 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.
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.
Нетипичная Адыгея @nontypical · 29,521 Telegram ranks this channel #55 of 92 here — alongside 91 others — read 8 September 2026
Культурный дилер @culturedeal · 31,741 Telegram ranks this channel #79 of 96 here — alongside 95 others — read 5 September 2026
This channel appears in 2 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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Полярис-Адыгея” (@polaris_adygea_01), 1,252 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/polaris_adygea_01.
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.