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 16 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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
14 measurements spanning 40 days, net -27. 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 2,185–2,220 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 14:18
2,189
-3
11 Sept 2026, 15:38
2,192
-3
7 Sept 2026, 11:38
2,195
-2
2 Sept 2026, 19:45
2,197
+1
30 Aug 2026, 17:13
2,196
-3
27 Aug 2026, 22:55
2,199
-4
25 Aug 2026, 04:36
2,203
-6
22 Aug 2026, 11:24
2,209
-2
19 Aug 2026, 00:46
2,211
+2
15 Aug 2026, 20:23
2,209
-1
12 Aug 2026, 19:48
2,210
-4
10 Aug 2026, 06:30
2,214
-2
7 Aug 2026, 01:16
2,216
no change
7 Aug 2026, 01:04
2,216
first reading
Engagement
9 posts held, back to 17 February 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 2 pages 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 9 posts for this entry, the most recent from 15 May 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
542 reactions across 7 posts, in 22 distinct kinds. The most used accounts for 44.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
241
44.5%
❤🔥
134
24.7%
💋
32
5.90%
🔥
29
5.35%
💘
28
5.17%
🥰
18
3.32%
👍
16
2.95%
💅
10
1.85%
👏
5
0.923%
🤩
5
0.923%
😁
4
0.738%
🙏
4
0.738%
🍓
3
0.554%
👎
3
0.554%
👌
2
0.369%
👾
2
0.369%
💩
1
0.185%
🕊
1
0.185%
😈
1
0.185%
😘
1
0.185%
2 further kinds
2
0.369%
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 9 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 542 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 17 February 2026 to 15 May 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.
— Получила факс с именами жюри?
— Да, я не верю своим глазам
— Поверь, это реально
У нас звезды не только на сцене, но и за судейским столом! Мы собрали самых гламурных и крутых экспертов, чтобы они выбрали их — наших Мистера и Мисс 👑
Листай карусель и знакомься с жюри! 🤩
16 мая, 18:00
Актовый зал РУДН
Знаешь, какие 5 минут в день могут повлиять на рост волос? 🪮
Это массаж кожи головы.
Он усиливает приток крови к корням, активирует волосяные фолликулы и помогает уходу работать глубже и эффективнее.
Плюс — снимает напряжение, которое часто тормозит рост, даже если ты об этом не задумываешься.
Как часто его делать?
☀️ утром — для бодрости и улучшения лимфотока
или
🌙 вечером — для снятия стресса и подготовки ко …
Если вдруг кажется, что уход не сработает — просто загляни в отзывы🩷
Мы собрали реальные впечатления тех, кто уже с нами подружился:
про текстуры, ощущения и тот самый эффект, когда ✨мне подошло✨
Листай, читай и сверяйся с собой — может тоже захочешь что-то попробовать!
А если уже пользуешься — напиши свой отзыв.
Твой опыт может стать чьим-то идеальным совпадением!
Лови продукты на WB:
🖤бальзам для окрашенных во…
🔠🔠🔠
🌟 Звезда на Официальной детской неделе моды в Геленджике! @kids_fashion_week_krasnodar
🤩 Уважаемые жители и гости Краснодарского края! У нас потрясающие новости для всех поклонников мира моды и ярких мероприятий!
🎩 🔥
➡️СУПЕРЗВЕЗДА!
➡️ЧЕМПИОН МИРА!
➡️ КОРОЛЬ ГЛАМУРА! Российского шоу-бизнеса Сергей Анатольевич ЗВЕРЕВ, VIP гость Официальной детской недели моды в Краснодарском крае!
🥳 Это уникальное, масштабно…
❤32👏5💘5🔥5👌2👍1🕊1😈1
Showing the 9 most recent of 9 posts we hold for @zverevsuperdeputat. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@zverevsuperdeputat named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@kids_fashion_week_krasnodar named in 1 post, 8 August 2026 – 8 August 2026
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сергей Зверев” (@zverevsuperdeputat), 2,189 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/zverevsuperdeputat.
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.