4 measurements spanning 7 days. 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 1,194–1,195 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 12:48
1,195
+1
10 Aug 2026, 19:13
1,194
-1
7 Aug 2026, 10:47
1,195
no change
7 Aug 2026, 10:34
1,195
first reading
Engagement
12 posts held, back to 9 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
5.89%
avg views ÷ 1,195 subscribers
Avg views / post
70.3
3 posts measured
Reaction rate
13.7%
reactions ÷ views · ER floor
Posts in window
3
of 12 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 7 August 2026
Posts held
12 (9 June 2026 – 7 August 2026)
Views total
211
Reactions total
29
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 10:47 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.
Reaction mix
158 reactions across 12 posts, in 10 distinct kinds. The most used accounts for 32.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
52
32.9%
💯
25
15.8%
🔥
19
12.0%
😱
17
10.8%
❤🔥
14
8.86%
🎉
11
6.96%
custom 5368349747201450139
10
6.33%
custom 5251219349020100367
6
3.80%
😢
3
1.90%
🍓
1
0.633%
Custom emoji. 2 of the rows above are 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 areTelegram’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 12 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 158reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 9 June 2026 to 7 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
1
across the posts below
Posts paid on
1
of 12 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @book_omens. 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 12 most recent posts we hold for this entry, published 9 June 2026 to 7 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.
Дочитала первую трилогию цикла «Рожденные туманом».
И так хорошо на душе стало. Ну как, не сразу, после того как слезу пустила, потом сразу хорошо стало)
Очень интересный мир, очень необычная магия (для сверх способностей люди поглощают частички металлов и поджигают их внутри, получая какие-то прикольные штуки, типо супер слуха/зрения), очень приятные персонажи.
Финал, кстати, тоже в какой-то степени необычный. Осо…
Рассказывайте! Как проходит ваше читательское лето? Какие планы на август?
Я случайно открыла фанфик «Исчезновение Драко Малфоя» и пропала. Не ищите меня. Я там, где я хочу быть))
Давайте сделаем вид, что у нас был месяц каникул.
И я дерзко и резко ворвусь к вам с жпт картинкой на тему. Каким бы дарк романом я бы была 🤣
Если нужен промпт, то скажите)))
#книжные_картинки
В июне с чатиком совместных чтений читаем «Клару и солнце» и очень прикольно что к концу месяца выложили трейлер на экранизацию книги.
Я сама пока роман дочитываю. Ощущения очень странные. Но точно могу сказать одно, что Исигуро очень Исигуро. Продолжает исследовать человеческую душу через очень интересные образы.
Я читала у него «Не отпускай меня» и хоть книга не в моем личном топе, но забыть её не получается, пот…
Наткнулась на статью. Мой шок в шоке.
Ну, одно дело Буржская, которая честно говорит, что пишет при помощи ИИ. Но такие вот «умные» книги, которые нужно перепроверять….
В интересное время мы живем, конечно. Но почему-то от МИФа я такое не ожидала
https://knife.media/ctulkhu-zhalko-kak-neiroset-ubivaet-knigoizdanie/
#книжные_сплетни
Увидела прикольное (по крайней мере так со стороны выглядит)
В Нью-Йорке около 2000 человек собрались на так называемый silent reading.
Организаторы - Reading Rhythms
Я сама по себе не понимаю насколько это прикольно или нет. Но вряд ли бы смогла прийти и просто читать в тишине. Если я пришла к людям, то я должна общаться 🤣
Извините 🤣
А вы что думаете?
#книжные_сплетни
А тем временем нас ждёт еще одна хоккейная экранизация.
«Вне кампуса» уже все посмотрели?)))
В этой книге мы с Аней впечатлились сценой в такси и очень ждём её на больших экранах 🤣🤣🤣
#книжные_сплетни
Вчера поругалась в комментариях с девочкой. Которая пыталась отстоять рейтинг книги.
Типо все дураки ставят 1-2 звезды, а я умная поняла смысл.
Я написала большой умный комментарий, что так бывает. И гениальные книги написаны языком говна. А если книга написано хорошо, то еще не значит, что там будет смысл.
На что мне ответили, что я просто оправдываю человеческую лень, а ей «словарного запаса» не хватит мне ответ…
В библиотеках США проводят рестлинг-шоу, чтобы привлечь детей и подростков к чтению.
Предлагаю ответить турниром по самбо в библиотеке имени Ленина. Гарантирую — будет ажиотаж.
Проект Lucha Libro, название которого объединяет мексиканский рестлинг lucha libre и испанское слово libro («книга»), появился в 2024 году и уже распространился по нескольким штатам, сообщил AP.
Борцов независимых промоушенов приглашают на …
custom 52512193490201003674
Showing the 12 most recent of 12 posts we hold for @book_omens. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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.
“Книжные знамения 😇😈” (@book_omens), 1,195 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/book_omens.
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.