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 21 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
8 measurements spanning 40 days, net -21. 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 483–510 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 22:18
486
-6
9 Sept 2026, 03:36
492
-4
30 Aug 2026, 00:27
496
-5
22 Aug 2026, 06:27
501
-3
14 Aug 2026, 19:24
504
-2
8 Aug 2026, 04:16
506
no change
8 Aug 2026, 02:10
506
-1
7 Aug 2026, 17:54
507
first reading
Engagement
11 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 11 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 27s
Average length
22s
Measured directly from 4 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
118 reactions across 8 posts, in 10 distinct kinds. The most used accounts for 43.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
51
43.2%
🔥
45
38.1%
👍
6
5.08%
💔
5
4.24%
🙏
4
3.39%
😁
3
2.54%
custom 5188633068402960960
1
0.847%
🍾
1
0.847%
🎉
1
0.847%
😢
1
0.847%
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 8 of the 11 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 118 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 23 July 2026 to 5 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.
В общем знаете, девочки, в этой сказке нет волшебства, кроме одного – решимости любить себя. Попробуйте. Наденьте кроссовки, посмотрите в зеркало и скажите: «Ну, привет, я иду».
А если будет трудно, вспомните Сашу и её огонёк. Он в вас тоже есть – просто подкиньте дровишек.
И сделайте всего один шаг.
За ним – целая жизнь. Никто не сделает нас счастливыми, кроме нас.
***
А солнышку Сашу, которая делится с каждой, к…
Про Сашу и Машу
Жила-была девушка Маша. Была она и умной, и доброй,
и слушать умела, и друзей поддержать, но в зеркало смотрелась с тоской.
– Эх… бока в джинсы не влезают. И этот живот.
И целлюлит ненавистный.
На море опять придётся закутываться в парео до самого подбородка…
И пряталась Маша в свободные худи, избегала фотографий и мечтала:
– Вот бы выпить волшебную таблетку и проснуться стройной… Но нет их, волшеб…
#психологическое про поросят и стрекозу
Спасибо вам! Практическое задание сдала и защитила на отлично. Итог забавный, делюсь.
В первом раунде имеем три поросенка. Фаворит очевиден) Тот, кто и веселится, и дом строит, и всех спасает. Идеальный баланс между «хочу» и «надо». Живёт в кайф, но и за дела отвечает.
Теперь про лето красное пропела, оглянуться не успела...
А вот здесь мнения сильно разняться. Вроде бы пра…
Друзья, испытала
культурный шок!
Моя «Мурляндия» есть в Российской государственной библиотеке – в легендарной «Ленинке»!
Я сначала глазам своим не поверила. Ввела в поисковик каталога – и тыдыщ! Заказано! Круууууууть!
В самой главной библиотеке страны! Теперь к моим кошачьим историям могут прикоснуться читатели в самом сердце Москвы. Правда, заказывать надо заранее.
Я, честно, сама не знаю, как она туда попала. Н…
У нас прибавление)
Новая 9 глава аудио спектакля – это новые эффекты. Егор поработал над звуком так, что вы физически почувствуете как кот опускает мордочку в толщу воды и ищет кристаллы...
Сказка оживает и всё происходит по-настоящему)))
В общем слушайте. И если вы ещё не с нами — остальные 8 глав ждут вас тут
Настоящее волшебство!
Одна фея делает тизеры к моим книгам творит чудеса…
Правда классно? Это тизер к капитану Орлову. Кто читал, суть сюжета прослеживается? Кто НЕ читал, вызывает желание прочитать?
#непутевыезаметки
Ярославль. Неожиданно прекрасный и загадочный с первых шагов…
– Хм, а чьи это лапки?
Оказывается, по тротуарам тут разгуливают бронзовые медведи. Ну, как медведи – следы от них)) Около 500 штук! Маршрут «Медвежья тропа» ведёт туриста за нос, за лапу по всем крутым местам. Карта не нужна, заблудиться нереально – просто шлёпай по отпечаткам.
Почему медведь – я пока не выяснила. Но слыхала, что там …
❤10🔥3😁3
Showing the 11 most recent of 11 posts we hold for @skazkivslux. 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.
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 11 most recent posts we hold, published 23 July 2026 to 5 August 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.
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.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сказки вслух 📚 Таисия Солопова” (@skazkivslux), 486 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/skazkivslux.
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.