10 measurements spanning 9 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 21,805–21,833 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 22:24
21,813
-13
13 Aug 2026, 14:38
21,826
-2
12 Aug 2026, 11:27
21,828
-2
11 Aug 2026, 11:24
21,830
+5
10 Aug 2026, 12:05
21,825
+6
9 Aug 2026, 11:51
21,819
+11
8 Aug 2026, 13:17
21,808
-4
7 Aug 2026, 16:37
21,812
+3
6 Aug 2026, 09:50
21,809
no change
6 Aug 2026, 09:44
21,809
first reading
Engagement
12 posts held, back to 19 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 22 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
41.4%
avg views ÷ 21,813 subscribers
Avg views / post
9,030
12 posts measured
Reaction rate
3.20%
reactions ÷ views · ER floor
Posts in window
12
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 15 August 2026
Posts held
12 (19 July 2026 – 15 August 2026)
Views total
108,360
Reactions total
3,472
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 17:51 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
≈3,960
Videos
≈221
Links
≈1,040
Lifetime counters from Telegram’s own channel header, read 15 August 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
1m 27s
Average length
1m 27s
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
3,472 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 59.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
2,074
59.7%
🔥
1,172
33.8%
🤩
169
4.87%
💋
31
0.893%
💯
20
0.576%
💔
6
0.173%
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 3,472reactions 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 19 July 2026 to 15 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
5
across the posts below
Posts paid on
3
of 12 we hold a reading for · 25%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @booksaroundme. 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 19 July 2026 to 15 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.
💔как же я счастлива, что влоговый формат так хорошо заходит!
Потому что я и себя ловлю на желании смотреть смотреть что-то спокойное, жизненное и с легко преподносимой информацией🦁
После лавины комментариев желание снимать «недели чтения» усилилось📚☺️
❤️🔥❤️🔥❤️🔥
Неделя чтения уже вышла!
Приглашаю вас вместе провести со мной небольшой кусочек этого августа и заглянуть в мою читательскую жизнь прямо сейчас.
В видео:
📌рассказываю, ради каких изданий сорвалась моя книжно-покупочная диета;
📌показываю потрясающие издания, которые появились в моей домашней библиотеке;
🔥 делюсь книгами, от которых сейчас совершенно не могу оторваться;
📌рассказываю, что думаю об «Одис…
💔Иногда из-за работы, поездок или простой усталости я делаю внушительные перерывы в чтении, и тогда возвращение в книгу требует небольшого отката назад в прочитанное.
📌Раньше я просто перелистывала предыдущие главы или читала краткое содержание в интернете (и ловила спойлеры). Но теперь в Яндекс Книгах появилась функция «О персонажах» – с помощью ИИ-компаньона люмена. Он поможет быстро освежить в памяти, кто есть кт…
❤️🔥🏰
Наконец-то начала разбирать и выкладывать все отснятое на бусти!
В этом влоге показываю свое летнее путешествие на выходные на Кудыкину гору:
🏰что это за место
🗺️где остановиться и поесть, делюсь ссылками
🏖️отдаю кусочек своего настроения!
📌Смотреть на Boosty:
https://boosty.to/booksaroundme
❤️🔥
Этим летом у меня появился особенный повод для гордости - вышло новое издание «Приключений Шерлока Холмса» с моим предисловием!
В нём я рассказала о своей любви к Холмсу, о том, почему этот персонаж остаётся актуальным уже больше столетия, почему к его историям можно возвращаться в любом возрасте и за что мы продолжаем так сильно его любить.
Само издание получилось чудесным. Иллюстрированные форзацы, великолеп…
🖤💀🖤
ЛУЧШИЕ ДЕТЕКТИВЫ за целый год чтения уже на канале! Включайте на вечер пятницы;)
Поделитесь своими фаворитами, собираю новую подборку для прочтения🙏🏻
📺смотреть на YouTube
💰на бусти в обработке (сегодня везде чудовищно долго грузится☠️)
Показываю вам свою волшебную стеклянную шкатулку: здесь хранятся мои любимые миниатюры ароматов. Я оставляю только те, что попали в самое сердце: под настроение, под погоду, под внутреннее «сегодня хочу быть именно такой». В этом месяце шкатулка пополнилась тремя новыми - и каждому здесь своё время и свой повод:
🕌 Guerlain - Shalimar
Ему почти сто лет - а он до сих пор звучит так, будто его создали вчера для женщины…
📌понедельник и планы на последнюю неделю июля
✅снять и выпустить видео с подборкой лучших прочитанных за год детективов на канал (я удивляюсь, но это один из самых частых запросов в году:)
✅перебрать книги для расхламления
✅смонтировать видео и два подкаста на бусти (все готово, туплю с монтажом)
✅попинать поддержку ВК (мне обещали проверить, в чем может быть причина того, что видео висят в обработке неделями)
✅пров…
🔥🔥🔥
ИТОГИ ПОЛУГОДИЯ уже на канале: лучшие книги за 6 месяцев и яркие открытия лета!
Поделитесь своей лучшей книгой 2026 на данный момент!
📺смотреть на YouTube
💰смотреть на Boosty
❤️🔥Друзья, читательская перекличка!
Делитесь, с какими книгами проводите выходные!
У меня в читательском плейлисте:
📖 Эмиль Чоран «Злой демиург» Чоран, как всегда, беспощаден - к миру, человеку и любым иллюзиям. Читать его непросто, но в этих афористичных размышлениях есть странная притягательность, которая заставляет останавливаться почти на каждой странице (я перечитываю уже второй раз, настольная книга лета)
📖…
🩷моё лучшее спортивное открытие этого года - массажные мячики! Мягкий и шипастый - для стоп, плотный и тяжелый - для тела, маленький - дорожный, незаменимый в поездках! (Раньше даже не знала, что они бывают разными и так классно работают🥰)
А научилась пользоваться и увидела реальный результат благодаря программам:
🧡Здоровая спина и шея/ Минус отеки от Иванны Идуш
🧡Здоровые стопы от Виктории Вакулиной
Эти и еще множе…
Мои отпускные кадры
🍓📕🔥📌🦁
Гуляла по летней Москве, съездила в Минск на пару дней (вот здесь все вкусные местечки собрала!), читала, ловила закаты, смотрела ЧМ (и жду финал сегодня!)… отдыхала!
Делитесь своими жизненными кадрами в комментариях, любыми🩷
❤🔥371🔥112🤩27💋5
Showing the 12 most recent of 12 posts we hold for @booksaroundme. 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.
Citation-graph rank
Citation-graph rank — 204,742 of 1,480,688entries 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
Named by 1 registered channel — 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Books around me” (@booksaroundme), 21,813 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/booksaroundme.
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.