4 measurements spanning 7 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 4,398–4,414 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 07:46
4,400
-10
10 Aug 2026, 15:11
4,410
-2
7 Aug 2026, 08:31
4,412
no change
7 Aug 2026, 08:20
4,412
first reading
Engagement
16 posts held, back to 2 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 6 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.65%
avg views ÷ 4,400 subscribers
Avg views / post
205
16 posts measured
Reaction rate
15.0%
reactions ÷ views · ER floor
Posts in window
16
of 16 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 8 August 2026
Posts held
16 (2 August 2026 – 8 August 2026)
Views total
3,272
Reactions total
492
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 18:16 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
1m 47s
Average length
1m 47s
Measured directly from 1 video 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
492 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 30.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
150
30.5%
❤🔥
111
22.6%
🤣
73
14.8%
🔥
54
11.0%
💔
42
8.54%
👍
31
6.30%
🎃
23
4.67%
⚡
4
0.813%
😭
2
0.407%
🍾
1
0.203%
💯
1
0.203%
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 16 of the 16 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 492reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 2 August 2026 to 8 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.
Дмитрий Сычев «Тьма за спиной. Книга 1. Осколок»
▪️#темноефэнтези #фэнтези
▪️@novafiction
▪️352 стр.
• мрачная атмосфера
• отряд наемников
• древние тайны
• серая мораль
• проклятые земли
Один несдержанный порыв – и монолит привычной жизни разбивается на осколки.
Дварфу Далуру приходится сменить тепло очага и родные стены на холодные ветра и сбитые наемничьи сапоги, а все, что у него было, остается далеко позади.…
⚡️ПРЕМЬЕРА⚡️
Буктрейлер самой ожидаемой гридарк-новинки этого лета — романа «Падение Диссы» Олега Ткача!
Что случится, когда древнее божество освободится из тюрьмы, в которой его заперли сотни лет назад? Уцелеют ли города и страны или их ждет уничтожение и гибель?..
Ответы будут ждать вас на страницах книги!
Узнать больше о мире Диссы, сотканном из тьмы▪️
Оформить предзаказ▪️
#рекомендации_novafiction
Константин Соловьев «Бумажный тигр. Материя. Том 1»
▪️#фэнтези #детектив #стимпанк
▪️@novafiction
▪️512 стр.
• городское фэнтези
• зловещий остров
• охота на чудовищ
• викторианский демонолог
• искажение реальности
• настоящее безумие
Знакомьтесь, Лэйд Лайвстоун – владелец бакалейной лавки на острове Новый Бангор. Днем он отвешивает рис, чай и корицу, а вечерами пьет пиво с приятелями, жалуясь на капризных автомат…
Алина Дягилева «Дочки-матери»
▪️#триллер #ужасы
▪️@novafiction
▪️352 стр.
• мистический триллер
• древнее зло
• для поклонников книг «Дом странных детей» и «Коралина»
• тайны прошлого
• загадочное убийство
Небольшой коттеджный поселок «Счастье» когда то был глухой деревней под зловещим названием Трясина. Здесь всего два десятка детей, и Алиса, переехавшая сюда с родителями, надеется найти среди них друзей. Но с ме…
каждый человек должен уметь ставить себе цели и достигать их.
и я поставила себе цель.
было трудно, даже невыносимо. казалось, что больше я не могу, хотелось все бросить.
но каждый раз я находила в себе силы идти дальше к своей цели.
и я это сделала! я собрала 45 крышек от пива жатецкий гусь и получила в подарок кружку!🥳
попадается трек в Яндекс музыке, который качает
добавляю в плейлист, делаю громче
попадается видео, где альфа высмеивают этот трек и шутят, что его слушают только их мамы🥲
я и не заметила, как я постарела, боже мой
этот трек Мальборо🙈
а у вас есть такие песни, которые вам стыдно слушать при других?
⚡лучшая книга этого года
что же это будет за книга?
расстановка сейчас такая🖤
а пока можете прочесть отзывы на мои лучшие книги каждого месяца этого года:
▪️январь – Дмитрий Колодан «Пересмешник на рассвете» книга 1
▪️февраль – Дмитрий Колодан «Пересмешник на рассвете» книга 2
▪️март – Иван Белов «Заступа: Грядущая тьма» книга 3
▪️апрель – Натали Абражевич «Дитя чумного края»
▪️май – Анна Старобинец «Хроники пепе…
#отзывнакнигу
«Самая страшная книга. Новые черные сказки»
▪️#ужасы #сказки #рассказы
▪️@astrel_spb
▪️576 стр.
• сборник мрачных сказок
• тревожные, жестокие, пугающие
• разный объем, подача и форма
• на любой вкус
«Самая страшная книга» снова делает это: возвращает народу сказки такими, какими те были в стародавние времена, – тревожными и пугающими не на шутку историями о мертвецах, ведьмах и демонах.
Узнайте наст…
❤🔥15❤6🔥2⚡1🎃1👍1
Showing the 12 most recent of 16 posts we hold for @miss_bookshelf. 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.
Citation-graph rank
Citation-graph rank — 1,269,641 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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
Names
Channels on the register whose handles appear in this channel's posts.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Книжная полка 18+” (@miss_bookshelf), 4,400 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/miss_bookshelf.
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.