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 22 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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
6 measurements spanning 38 days, net -8. 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 368–378 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 21:19
369
-1
7 Sept 2026, 19:38
370
-2
29 Aug 2026, 20:57
372
-2
16 Aug 2026, 04:24
374
-3
8 Aug 2026, 06:17
377
no change
8 Aug 2026, 05:00
377
first reading
Engagement
7 posts held, back to 18 June 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 7 posts for this entry, the most recent from 25 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
9m 10s
Average length
9m 10s
Measured directly from 1 video 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
78 reactions across 7 posts, in 12 distinct kinds. The most used accounts for 21.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
17
21.8%
💘
13
16.7%
custom 5440718610404241986
11
14.1%
❤🔥
10
12.8%
custom 5440497604272089224
9
11.5%
custom 5447165240351416642
7
8.97%
😭
4
5.13%
💋
3
3.85%
💅
1
1.28%
🔥
1
1.28%
😍
1
1.28%
😎
1
1.28%
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 7 of the 7 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 18 June 2026 to 25 July 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.
мы идём и вам советуем❤
Лекция «Как филолог читает книги?»
Лектор – Екатерина Овчинникова, поэт, филолог, руководитель творческой платформы ВЫСЬ.
Обсудим:
• что ещё есть в книге, кроме сюжета и персонажей;
• правдив ли миф о синих занавесках;
• как так получается: кто-то прочитал и забыл, а кто-то прочитал и сделал лекцию?
В конце информационной части вы сможете задать вопросы, поговорить с юмором и любопытством…
🥳КОМНАТА 24 ЗАКРЫЛА СЕЗОН! Что мы успели за год?
❤играли наши любимые спектакли: "Мишель", "Собачка бежит по кругу", "Синяя птица"
🚙съездили на наши первые гастроли в Марьяновку с историей о Лермонтове (потеряли два колеса, пару сотен нервных клеток и переписали одну пластическую сцену, но вообще было круто)
🎭провели наш собственный первый фестиваль независимых театров "Театр в городе" вместе с Театрально! Омск и …
💛а что если у нашего детства есть своя душа? вы бы хотели с ней встретиться? как бы выглядел ваш дух детства?
🪁у Дугласа Сполдинга из нашей премьеры такой дух есть - маленький Дуглас, наивный и строгий, капризный и все понимающий, отзывчивый и отстраненный
🧸не будем раскрывать всех карт (достаточно приглядеться к фото выше, чтобы о чем-то уже догадаться). с душой маленького Дугласа, которая пытается заставить взрос…
COOKING SHOW от Комнаты 24 ☕
в честь нашей любимой истории, вдохновлённой романом Рэя Брэдбери "Вино из одуванчиков" мы решили приготовить безалкогольную версию - одуванчиковый лимонад.
для вкусноты нам понадобятся:
💛одуванчики
💛мёд
🤍соль
💛лимоны
🤍минералка
✨было смешно и вкусно!! пробуйте приготовить сами и приходите к нам на спектакль уже...
🤩20 июня
🤩19:00
🤩Актовый (Фурманова, 7)
билеты
Showing the 7 most recent of 7 posts we hold for @k0mnata24. 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.
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.
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Комната 24” (@k0mnata24), 369 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/k0mnata24.
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.