Literature — 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 99% 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
13 measurements spanning 40 days, net +1,055. 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 8,034–9,405 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 13:55
9,247
+119
13 Sept 2026, 21:00
9,128
+92
9 Sept 2026, 18:01
9,036
+149
4 Sept 2026, 16:20
8,887
+87
1 Sept 2026, 06:58
8,800
+50
29 Aug 2026, 03:44
8,750
+150
26 Aug 2026, 09:24
8,600
+77
23 Aug 2026, 08:17
8,523
+38
20 Aug 2026, 03:27
8,485
+82
16 Aug 2026, 20:02
8,403
+123
13 Aug 2026, 02:55
8,280
+84
10 Aug 2026, 03:31
8,196
+4
9 Aug 2026, 18:47
8,192
first reading
Engagement
73 posts held, back to 6 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 16 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.5%
avg views ÷ 9,247 subscribers
Avg views / post
2,170
12 posts measured
Reaction rate
12.3%
reactions ÷ views · ER floor
Posts in window
12
of 73 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 28 August 2026
Posts held
73 (6 August 2026 – 28 August 2026)
Views total
26,024
Reactions total
3,197
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 16:46 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
Video runtime
32m 40s
Average length
1m 29s
Measured directly from 22 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
21,554 reactions across 73 posts, in 3 distinct kinds. The most used accounts for 48.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5420376666037844651
10,509
48.8%
custom 5420336383539573179
6,307
29.3%
custom 5422616152180286545
4,738
22.0%
Custom emoji. Every 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 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 73 of the 73 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 21,554 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 73 most recent posts we hold, published 6 August 2026 to 28 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.
Telegram Stars
Stars received
16
across the posts below
Posts paid on
5
of 73 we hold a reading for · 7%
Most on one post
11
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @anasteysheinnbook. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 73 most recent posts we hold for this entry, published 6 August 2026 to 28 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
😳🙈я оказывается обожаю
😎😭строить планы, особенно если это планы на поездку 🥹
купила билет до Москвы, и все начинается, а чем мне заняться в поезде, а какие фильмы скачать, а какие книги взять? так что следующую неделю я витаю в облаках в мечтах о том, как я проведу 12 часов без интернета с книгами и сериалом 🤩🤩
😔так что вопрос к вам! хотите ли контент по сборам, влоги по дням из Москвы? я просто обожаю такое смотре
☺️😔 сегодня переносила
😍😎 электронные заметки в
😎😅 бумажную версию «Дом духов». ожидала, что много что будет зацензурено, тк книжка непростая, но нет! все на месте!
😜😳по уровню жести превосходит мой любимый «Замок Броуди», поэтому сегодня цель как можно ближе подобраться к концу и узнать, попадет ли эта семейная сага в любимки
так что весь вечер выделяю на чтение!
🌟🌟🤎🤎книжный розыгрыш:
🌟🌟✨🌟дарим 10.000₽ 🌟✨
🤎1-4 место: 2.500₽ на карту🤎
🌟 для участия подпишитесь на каналы:
• free opinion
• LANGUAGES&BOOKS
• I'M A TIGER LILY
• Маша вслух о книгах
• Книжный Скотт
• Сюжет без границ | Ви
• Тихо! Ксюша читает
• Книжный Мародер
• Филологический абьюз
• Уютное чтение
• Не верь своим глазам
• У Юли о книгах и жизни
🌟нажмите «принять участие»
{ итоги подведем 16.09 в 16ч 🎀 }
⭐️⭐️⭐️вчера поймали такой
⭐️⭐️⭐️прекрасный закат, а сегодня я высыпалась после насыщенного дня! моя галерея состоит из как минимум 40% фоток и видео с красивыми закатами и рассветами…
а проснулась я с мыслями, что потихоньку надо готовить стеллажи и квартиру к осеннему декору. обожаю смена времен года именно из-за этого!! атмосферные штучки, новые кружки с постельным бельем, я живу ради этого блин!!
⭐️давно вы не х…
🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊🎊
Вторая встреча от Мейнстрим Гикс на Московской международной книжной ярмарке (ММКЯ)!
📅 4 сентября, 19:00 (пятница)
✍ Как одна история может ощущаться по-разному?
📍 Гостиный двор, сцена «Комиксы и молодёжная литература»
Популярные книжные блогеры встретятся в формате живой дискуссии, чтобы обсудить графические и текстовые романы. На примерах историй редакции Mainstream Geeks поговорят о манхва, мангах, м…
сегодня спонтанно уехала к семье домой, в Нижнекамск💔
🏰🏰🏰 раньше я бежала со
🏰🏰🏰 всех ног отсюда, потому что не видела тут своего развития и не находила места. сейчас же при любой возможности я спешу домой, чтобы хоть немного увидеть родных.
🖇️ну и дозу милоты от уличного котика получите, распишитесь!
можете и в комментариях своих пушистиков показать, парад антистресса никогда не будет лишним 🐰
😳😁😘10 причин, почему я
🥹😍😱крутая! очень классная практика, после которой прям чувствуешь даже гордость за себя в некоторых моментах 😁
🙈 а ну ка, хвалим себя в комментариях и рассказываем, почему вы такие крутые!
Showing the 12 most recent of 73 posts we hold for @anasteysheinnbook. 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.
Mentions
Named by 3 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“анастейшн читает 📚” (@anasteysheinnbook), 9,247 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/anasteysheinnbook.
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.