Film & TV — 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 23 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 57 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 253–268 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Oct 2026, 14:57
263
-1
19 Sept 2026, 10:59
264
-2
11 Sept 2026, 07:00
266
+4
27 Aug 2026, 10:02
262
+1
21 Aug 2026, 10:15
261
+4
14 Aug 2026, 09:23
257
+2
8 Aug 2026, 09:18
255
no change
7 Aug 2026, 19:58
255
first reading
Engagement
4 posts held, back to 12 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 4 posts for this entry, the most recent from 2 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
72 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 37.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27
37.5%
🔥
16
22.2%
🥰
12
16.7%
👍
9
12.5%
👏
8
11.1%
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 4 of the 4 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 72 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 12 June 2026 to 2 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.
Кстати!
Я в видео про каркасы ссылалась на судебное дело над Марией де Легарда, в котором упоминали guardainfante. Какое-то время после включения этой информации в текст у меня не открывалась статья, в которой я это прочитала, поэтому источник был на уровне "поверь мне брат". Но это не мой подход, я хочу быть уверена, что мои слова можно проверить. И вот я нашла эту статью из "Renaissance Quarterly", и делюсь с вами…
Я злая из-за жары, поэтому выбираю бубнеть
Вышел трейлер новой экранизации "Чувства и Чувствительность" и он выглядит... мрачно. Буквально. Раньше для этой эпохи выбирали хотя бы пастель, а тут и вовсе в который раз земляная палитра. "Эмма" 20-го года и недавняя "Другая сестра Беннет", на мой взгляд, смотрятся куда выигрышнее, но может это просто я люблю... цвета?
Однако ничто не сравнится с "великим дефицитом шпи…
Уже 5 августа на экраны вернется самый модный Ян Павел в истории Польши
Если вы пропустили первые два сезона, есть время наверстать. 1670 — это безумно красивый сатирический сериал, снятый как исторический мокьюментари (как "Офис" или "Чем мы заняты в тени", только исторический). А ещё, просто между нами, это отличный пример того, как осовременить исторический сеттинг, но сделать это со вкусом.
Художникам-постановщ…
*гифка с панической беготней из Офиса*
Это происходит? Это произошло! Первое видео на ютубе!
Не идеальное, но с форматом я ещё поработаю. Главное, что начало положено.
https://youtu.be/suJ9PG1Btww?si=jZI0LNMuw5os_Czx
👍9❤2
Showing the 4 most recent of 4 posts we hold for @rina_hamster. 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 3 October 2026 — this
entry's latest reading, not the date you are reading this.
“Рина болтает об истории моды” (@rina_hamster), 263 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/rina_hamster.
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.