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 22 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
7 measurements spanning 38 days, net +12. 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 387–403 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 07:39
401
+2
8 Sept 2026, 06:00
399
+3
29 Aug 2026, 05:22
396
+1
21 Aug 2026, 14:14
395
+5
8 Aug 2026, 13:40
390
+1
8 Aug 2026, 06:02
389
no change
8 Aug 2026, 03:15
389
first reading
Engagement
13 posts held, back to 15 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 13 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 49s
Average length
22s
Measured directly from 5 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
544 reactions across 12 posts, in 10 distinct kinds. The most used accounts for 54.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
298
54.8%
❤🔥
100
18.4%
😭
38
6.99%
😍
34
6.25%
💘
21
3.86%
💋
13
2.39%
💅
12
2.21%
custom 5359459731834416287
10
1.84%
💔
9
1.65%
🕊
9
1.65%
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 12 of the 13 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 544 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 15 June 2026 to 30 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.
Премьера на 👀👀: пятый сезон мистического детектива «Анна Медиум»!
Евгений стал руководителем одного из подразделений крупного холдинга, и семья Островских уже строит грандиозные планы на приобретение дома в престижном дачном посёлке под Санкт-Петербургом.
Чтобы привыкнуть к будущему месту жительства, они снимают в посёлке на лето большую красивую старую дачу. Новое место — это не только новые соседи и новая социаль…
Сегодня (по екб уже 8 число!!!) день рождения у прекрасной девушки, у администратора данного аккаунта!!! ♥️
желаю достигать всех поставленных целей! здоровья, счастья, успеха и самого-самого лучшего 😝
⚡️Читайте в свежем номере журнала «7Дней»
МАРИЯ ПОРОШИНА: «ДОЧКИ ЗАСТАВИЛИ МЕНЯ ПОВОЛНОВАТЬСЯ»
🔥 В эксклюзивном интервью популярная актриса рассказывает о личной жизни, о воспитании детей, о работе с такими звездами, как Александр Балуев, Максим Аверин, Александр Лазарев и других.
Также в номере:
✌️РОМАН КУРЦЫН В ПЕРВОЙ ФОТОСЕССИИ С СЫНОМ: о поцелуе кобры, черном поясе в 12 лет и доме на колесах
«Я сделал трюк, …
Марию Порошину экстренно госпитализировали с ишемической атакой
52-летней актрисе стало плохо вчера, пишет Mash. У звезды проблемы с щитовидной железой и давлением.
СтарХит
Showing the 12 most recent of 13 posts we hold for @myporoshinax. 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.
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.
Валерия @valeriyaofficial · 24,362 Telegram ranks this channel #38 of 89 here — alongside 88 others — read 16 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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“— m.p 🌙” (@myporoshinax), 401 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/myporoshinax.
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.
