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Андрюхин Николай
Закрытый канал: https://t.me/libraryholya_bot?start=3143986
Номер регистрации № 5855189832
Created
12 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 50% 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 the other topics.
Growth
59 measurements spanning 95 days, net -278. 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 10,261–10,623 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
9 Nov 2026, 19:18
10,303
-4
8 Nov 2026, 13:14
10,307
-2
7 Nov 2026, 09:07
10,309
+1
6 Nov 2026, 06:55
10,308
+1
5 Nov 2026, 04:30
10,307
-1
4 Nov 2026, 04:19
10,308
-1
3 Nov 2026, 04:49
10,309
-4
2 Nov 2026, 05:26
10,313
+1
1 Nov 2026, 02:11
10,312
-1
31 Oct 2026, 02:08
10,313
-6
29 Oct 2026, 04:48
10,319
-3
28 Oct 2026, 02:50
10,322
-2
27 Oct 2026, 05:10
10,324
-2
26 Oct 2026, 07:38
10,326
-5
25 Oct 2026, 08:49
10,331
-3
23 Oct 2026, 08:36
10,334
-4
22 Oct 2026, 10:05
10,338
-3
20 Oct 2026, 04:10
10,341
-2
19 Oct 2026, 05:28
10,343
-7
18 Oct 2026, 05:35
10,350
first reading
Engagement
21 posts held, back to 18 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.2%
avg views ÷ 10,303 subscribers
Avg views / post
1,360
7 posts measured
Reaction rate
2.73%
reactions ÷ views · ER floor
Posts in window
7
of 21 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 November 2026
Posts held
21 (18 June 2026 – 2 November 2026)
Views total
9,545
Reactions total
261
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 11:08 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈368
Videos
≈1,580
Links
≈252
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
33m 04s
Average length
2m 12s
Measured directly from 15 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
672 reactions across 21 posts, in 13 distinct kinds. The most used accounts for 36.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
246
36.6%
👍
156
23.2%
🤣
112
16.7%
🔥
70
10.4%
😁
37
5.51%
🙏
22
3.27%
👏
12
1.79%
🕊
4
0.595%
😍
4
0.595%
😢
4
0.595%
👻
2
0.298%
🥰
2
0.298%
❤🔥
1
0.149%
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 21 of the 21 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 672 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 18 June 2026 to 2 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 7 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Кастинг в новый спектакль!
Всем привет! Большинство из вас уже знает, кто я. Да, я Нюра — режиссёр нашумевшего спектакля «Чарли».
Хочу объявить хорошую новость: я решила провести кастинг для тех, кто очень хочет играть в моём новом спектакле.
1)Мне нужны новые актёры и актрисы. Желательно в возрасте от 18 до 55 лет.
Репетиции будут именно в Москве.
2)После Нового года будем репетировать два раза в неделю. Участие…
Скоро-скоро КАСТИНГ!
Да, товарищи мои, скоро режиссер Нюра откроет кастинг для постановки нового спектакля . Подробности выложу уже в понедельник 🙏🏻
«Стоп, подождите ка, же есть автомат актеры и актрисы вот из интеграции»- это ваша первая мысль в первую очередь , подписчики мои.
Признаюсь , что УЖЕ месяц больше не работаю в интеграции в концертно-театральной шоу-студии «Вместе» при руководителе Елене Ивановной Мит…
СТЕНДАП ХОЛИ В ДК ВОГ
📅 17 октября 2026 г. в ДК ВОГ состоялся стендап Холи. На мероприятие пришло 89 человек.
✨ Зрители с большим удовольствием смеялись и с вниманием слушали нашего земляка Николая Андрюхина.
❤️ Рязанское РО ВОГ выражает искреннюю благодарность Николаю Андрюхину за стендап-шоу, которое впервые прошло в Рязани!
Мы очень рады, что многие люди активно посетили. После ремонта мы стараемся создавать у…
ВЕБИНАР 22 октября 19:00 МСК
«Что тебе наврали про sекs? Топ-7 мифов»:
- 7 мифов, которые убuвают удовольствие
- Что делать, если один партнёр хочет больше, а другой меньше
- Sекs-игрушки, м@стурбация, размер и возраст
И это ещё не всё. За регистрацию на вебинар ты получаешь подарок: Тест «узнай чего тебе не хватает в seкse» и отношениях и получи в п•дар•к бесплатный мини-урок «5 причин, почему секса становится ме…
Поспешите купить у неё сборник, а то мой сторис через 24 часа исчезнет и больше не появится.
Там есть общение+ РЖЯ+ приз
@koamyra61 в личку пишите ей "2 сборник"
🔜 Спектакль «Чарли» продолжает гастроли по России
🔵 Спектакль «Чарли» продолжает гастролировать по России и радовать зрителей. Следите за афишей: если спектакль приедет в ваш или соседний город, обращайтесь к организаторам по поводу билетов.
🗓 7 ноября состоится последний показ «Чарли» в Москве. Больше московских показов не планируется, поэтому не упустите возможность увидеть спектакль!
✨ Также поздравляем актрису…
Что ждёт тебя на DEAFLAND? 👀
•Живая музыка
•Розыгрыши подарков
•Тамада, который не даст скучать
•Море знакомств, танцев и эмоций
и… мы готовим новую фишку, которой ещё не было на прошлых вечеринках, пока сохраним интригу
🎟 Первые 200 билетов — 1990 ₽ ещё доступны
КУПИТЬ БИЛЕТ
#DEAFLAND
ВСЁ ПРОШЛО НА УРА! СПАСИБО ВАМ, ДРУЗЬЯ 👍
Сегодня состоялся стендап Николая Андрюхина, и мы до сих пор под впечатлением!
Зал был полон улыбок, смеха и искренних эмоций. Люди подходили после выступления и говорили: «Спасибо, что пригласили! Мы поняли, что такое стендап, и хотим ещё!»
И это главная награда для нас.
Николай, огромное вам спасибо!
Вы не просто показали номер — вы открыли людям новый мир юмора, дали им…
Что говорят в Ростове? Спрашиваем! 🙂↔️
Мы узнали у ростовчан, которые уже побывали на стендапе Николая Андрюхина. И вот что они ответили:
👉 «Было смешно всей семьёй!»
👉 «Очень понравилось — и детям, и бабушкам»
👉 «Придём ещё раз, если будет возможность»
Юмор Николая объединяет поколения — от мала до велика! Теперь он едет к нам, в Краснодар. Не пропустите!
📅 11 июля в 11:00
📍 Краснодар, ул. Клубная, 14
🎟 Цены:
…
❤24🔥13👍7🥰2😁2
Signed Николай Андрюхин
Showing the 12 most recent of 21 posts we hold for @annikolyan. 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 2 registered channels — 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.
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.
Планета глухих (Planet Deaf) @planet_deaf · 22,853 Telegram ranks this channel #12 of 54 here — alongside 53 others — read 19 September 2026
Твори добро с Серегой и наш мир станет добрее❤️ @SeregaSoul1 · 24,385 Telegram ranks this channel #28 of 42 here — alongside 41 others — read 15 September 2026
Ultima - Русский @Ultima_Official_Russian · 26,968 Telegram ranks this channel #77 of 78 here — alongside 77 others — read 10 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Все, что нужно знать|Холя|РЖЯ” (@annikolyan), 10,303 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/annikolyan.
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.