Personal blog — 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 84% 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 49 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 1,302–1,329 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Sept 2026, 06:18
1,305
-1
13 Sept 2026, 12:56
1,306
-1
9 Sept 2026, 20:18
1,307
-4
4 Sept 2026, 02:58
1,311
-4
28 Aug 2026, 23:53
1,315
-1
17 Aug 2026, 10:14
1,316
-3
14 Aug 2026, 00:38
1,319
-4
10 Aug 2026, 23:44
1,323
-3
7 Aug 2026, 22:31
1,326
no change
7 Aug 2026, 13:38
1,326
first reading
Engagement
5 posts held, back to 2 August 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 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
14s
Average length
14s
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
92 reactions across 5 posts, in 7 distinct kinds. The most used accounts for 26.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
24
26.1%
❤🔥
24
26.1%
custom 5453930874699542906
19
20.7%
custom 5287552130939381357
14
15.2%
👍
7
7.61%
custom 5224185338800394295
2
2.17%
custom 5467380204009713371
2
2.17%
Custom emoji. 4 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 92 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 2 August 2026 to 7 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.
Где мы вчера были: на концерте в Зелёном театре!
Как я и думала, это было очень красиво! Тысячи огоньков в полумраке парка, нарядные взрослые и дети! Там были дети! В основном, девочки возраста Анечки в красивых платьях 🥰
И чудесная музыка. До мурашек 💔
Андрей (мой муж) просил вам передать, что особенно хорошо вступили виолончели в самом начале Smells Like Teen Spirit.
Я таким абсолютным слухом не обладаю, поэтому …
Анечка, глядя на картинку:
-Это Варя. Это Лёша. Это Шнура. Это Бася. Это Паша.
Это - Анастасия Шанская! А Фиму они ещё не нашли!
Вот что мы читаем этим летом! А ещё слушаем на Алисе (каждый день), разговариваем цитатами и бесконечно тренируем голос Фимы.
Обе книги («Кот прямо с неба» и «У кота была собака») сразу стали очень любимыми, родными и знакомыми. Мы выучили их почти наизусть) Чудесные!
Знаете эти книги? И…
Идея августа: концерт Lumisfera в Зелёном театре ✨
За последние годы выступления симфонического оркестра при свечах стали важной частью городского лета.
Ближайшие концерты в Воронеже состоятся 6 и 22 августа.
Судя по кадрам, красота там невероятная. Хотелось бы увидеть своими глазами.
Знаю, что концерты проходят в разных городах. Расскажите, вы были? Как ваши впечатления?
Рассветы в четыре утра, колючие огурчики, бассейн во дворе, неизменные избушки на Ленина, горячая хлебная корка, новенькая кофейня с детским уголком и другие приключения в уездном городе К.
Это мы зашли в библиотеку моего детства, которая не так давно открылась после ремонта.
Симпатично! И до Камышина потихоньку доходят современные модельные библиотеки)
До обновления было так ➡️
В городе, кстати, есть ещё одна современная библиотека, на Некрасова, перед мостом.
Там мы были прошлой весной ➡️
❤🔥9👍7custom 54539308746995429067
Showing the 5 most recent of 5 posts we hold for @baby_speed. 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.
Nasty Tasty party @nastia_tasty · 31,289 Telegram ranks this channel #52 of 71 here — alongside 70 others — read 6 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Анютина мама” (@baby_speed), 1,305 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/baby_speed.
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.
