5 measurements spanning 32 days, net +4. 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 203–211 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Sept 2026, 00:20
208
-2
30 Aug 2026, 16:35
210
+5
15 Aug 2026, 18:39
205
+1
8 Aug 2026, 11:18
204
no change
7 Aug 2026, 19:28
204
first reading
Engagement
16 posts held, back to 18 July 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 page 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 16 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
73 reactions across 14 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
❤🔥
24
32.9%
👍
16
21.9%
👀
10
13.7%
custom 5251657358374886466
9
12.3%
❤
6
8.22%
🤯
3
4.11%
custom 5208945510638957569
2
2.74%
🍓
1
1.37%
🔥
1
1.37%
🤩
1
1.37%
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 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 14 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 73 reactions 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 18 July 2026 to 31 July 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 14 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @booktasting. 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 16 most recent posts we hold for this entry, published 18 July 2026 to 31 July 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.
📚 В Центральной городской библиотеке прошла встреча книжного клуба «КилоСлов». Участники обсуждали бессмертный роман Этель Войнич «Овод» — историю о предательстве, силе духа и вечных вопросах веры и любви. Спорили, перечитывали любимые фрагменты и находили новые смыслы в знакомом тексте.
Подробности в материале: https://clck.ru/3V3Bz9
«Каждый человек чей-то ребенок»
Джоди Пиколт «Девятнадцать минут»
👍🏻💔🌎
Автор является лауреатом свыше десятка литературных премий за выдающиеся заслуги в области литературы. Стивен Кинг включил этот роман в личный топ-15 книг, которые он советует к прочтению и которые не только развлекают, но и учат.
Если тема буллинга в школе часто встречается в современной литературе, то тема скулшутинга мне встретилась впервые…
«Я создал себе мир мечты, в котором я мог вволю бродить и странствовать, свободный от оков непослушного тела»
Алан Маршал «Я умею прыгать через лужи»
👍🏻❤️ 📰👀 🌎
Жизнеутверждающая книга! Как можно переживать о мелочах, если у вас на месте все конечности? Если вы более менее здоровы? Главный герой этой книги - сам автор, он рассказывает о своем опыте взросления/становления. Рассказывает о том, как по-разному общество…
😍На днях запоем прочла книгу Войнич «Овод». Совсем скоро мы будем обсуждать её на книжном клубе.
Уже не в первый раз попадаются отсылки к этой классике мировой литературы, это знак! Поэтому - изучаем📖
PS: я совсем не обещаю, что смогу прийти на встречу, но душой буду с участниками! Оставлю свое видеообращение:)
#килослов #книжныйклуб
Книжный сомелье 📚 Шурочка Чистик pinned «Здесь кто-нибудь жив из моей рубрики #книжныйчеллендж ?:) Напомню, у нас
закончился ПЕРИОД АВТОБИОГРАФИЧЕСКИХ романов.
Пришло время решить, что будем читать дальше! Голосуем!»
Здесь кто-нибудь жив из моей рубрики #книжныйчеллендж ?:) Напомню, у нас
закончился ПЕРИОД АВТОБИОГРАФИЧЕСКИХ романов.
Пришло время решить, что будем читать дальше! Голосуем!
Нон-фикшн19%
Русская классика (с сюрпризами)38%
Советская классика (уверена, что вы не всё знаете из этого списка;)13%
Утопии и антиутопии56%
The shares total 126%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
👀2❤🔥1👍1
Showing the 12 most recent of 16 posts we hold for @booktasting. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Здесь кто-нибудь жив из моей рубрики #книжныйчеллендж ?:) Напомню, у нас
закончился ПЕРИОД АВТОБИОГРАФИЧЕСКИХ романов.
Пришло время решить, что будем читать дальше! Голосуем!
Нон-фикшн19%
Русская классика (с сюрпризами)38%
Советская классика (уверена, что вы не всё знаете из этого списка;)13%
Утопии и антиутопии56%
The shares total 126%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 16 most recent posts we hold, published 18 July 2026 to 31 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Книжный сомелье 📚 Шурочка Чистик” (@booktasting), 208 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/booktasting.
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.