Telegram RegisterThe public register of Telegram

Channel

О книгах с Катей

@bookmirlit

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,765subscribers

-7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002339680266
TypeChannel
Username@bookmirlit
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/bookmirlit

Growth

1,7651,7721,768.56 August 2026 — 1,772 subscribers6 August 2026 — 1,772 subscribers6 August 2026 — 1,771 subscribers9 August 2026 — 1,768 subscribers12 August 2026 — 1,765 subscribers6 August 202612 August 2026
5 measurements spanning 6 days, net -7. 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 1,764–1,773 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 08:231,765-3
9 Aug 2026, 08:511,768-3
6 Aug 2026, 17:361,771-1
6 Aug 2026, 07:021,772no change
6 Aug 2026, 03:311,772first reading

Engagement

25 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
9.22%
avg views ÷ 1,765 subscribers
Avg views / post
163
25 posts measured
Reaction rate
37.7%
reactions ÷ views · ER floor
Posts in window
25
of 25 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held25 (1 August 20267 August 2026)
Views total4,069
Reactions total1,536
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:36 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

493 reactions across 10 posts, in 8 distinct kinds. The most used accounts for 25.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12525.4%
custom 53778104864127357058517.2%
💋7815.8%
❤‍🔥7615.4%
🔥5110.3%
😍428.52%
🥰346.90%
💘20.406%

Custom emoji. One 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 count beside it isTelegram’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 25 of the 25 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 1,536reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 25 most recent posts we hold, published 1 August 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.

Recent posts

7 Aug 2026, 15:35 UTC67 views21 reactionsread 7 August 2026
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❤️❤️❤️❤️❤️❤️❤️❤️❤️ Дарья Белова ❤️Каждое появление Сафина в моей жизни - это раствор ада и рая. Мне тяжело видеть его не моим, больно до потери рассудка, но сейчас я сижу рядом с ним и получаю невообразимый кайф.❤️ 🤩🤩#ДарьяБелова 🤩🤩#Нелюбимая

custom 53778104864127357058🥰76

7 Aug 2026, 12:44 UTC53 views19 reactionsread 7 August 2026
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💜новинка на книжной полочке💜 «Терра и турнир Тринадцати» Мая Сара 🤩2я книга 🤩боевое фэнтези 🤩сильная героиня 🤩легкая, почти незаметная любовная линия, раскрывающаяся через поступки 🤍планируете читать? Как вам оформление? #новыекниги #ТерраТурнирТринадцати

❤‍🔥65🔥5😍3

7 Aug 2026, 09:31 UTC208 views45 reactionsread 7 August 2026
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💖💖💖💖💖♥️ 💖💖💖💖💖 💖💖💖 Яна Дин ❤️– Ты всегда была моей. Была, есть и будешь, птичка.❤️ ❤️❤️#ЯнаДин ❤️#НиктоКромеНас

14🥰13😍13🔥4❤‍🔥1

7 Aug 2026, 06:37 UTC73 views46 reactionsread 7 August 2026
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☕️☕️❤️❤️❤️❤️❤️ ☕️☕️ у нас наконец-то похолодание. Правда вчера был сильный дождь и гроза, не было света. Сейчас еду на анализы, а тут друг за другом деревья повалены. В общем-то, эта жара как обычно принесла нам дурь. 📎 сегодня планирую начать читать новую книгу. Чуть позже подробнее расскажу о ней. 📎что вы сейчас читаете? Сколько книг одновременно можете читать? Хорошего дня!

😍13❤‍🔥12custom 5377810486412735705126💋3

6 Aug 2026, 20:48 UTC180 views36 reactionsread 7 August 2026
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Только что дочитала книгу. И это было действительно круто. Нереальная атмосфера гонок, когда находишься в диком напряжении и переживаешь за Тимура. Ведь так хочется, чтобы он стал чемпионом. Любовная линия очень горячая, но при этом нежная. Постепенное осознание и принятие своих чувств, ревность - я просто умилялась с Тима 😍 А концовка так вообще шикарная 🥹 это вам надо!

11🔥11❤‍🔥10😍4

6 Aug 2026, 18:59 UTC179 views57 reactionsread 7 August 2026
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❤️❤️❤️❤️❤️❤️❤️❤️❤️ Дарья Белова ❤️Подгоняю машину на старт. Главное - не смотреть в его сторону. Не смотреть. Уже ни за какие деньги. Хотя деньги и так не играли никакой роли, когда по дурости согласилась. Канат, по которому шла с целью забыть первую любовь, развязывается. Я падаю, цепляясь за единственное чувство, которое искрит внутри, - бешенство.❤️ 🟣#ДарьяБелова 🟣#Нелюбимая

❤‍🔥1615🔥13😍9custom 53778104864127357054

6 Aug 2026, 12:53 UTC267 views60 reactionsread 7 August 2026
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🔡🔡🔡🔡🔡 «Никто, кроме тебя» Яна Дин ❤️Обожаю, когда книги так влюбляют в себя. ❤️Мое знакомство с творчеством автора прошло прекрасно! И да, я уже прочитала продолжение этой истории. Потому что невозможно отпустить героев просто так 💔 ❤️Уже с самой первой встречи героев понимаешь, что легко им не будет, насколько бы сильным не было влечение и чувства между ними. Но зарождение их чувств - это самое прекрасное в этой

💋1716🥰14🔥9❤‍🔥2custom 53778104864127357052

6 Aug 2026, 10:22 UTC93 views68 reactionsread 7 August 2026
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🌱🌱🌱🌱 Новинки на книжных полочках 🌱 Кристин Уэбб «Ближе к звездам» 🌱трогательная история о первой любви и космических мечтах 🌱интеллектуальный ромком 🌱космическая эстетика 🌱🌱🌱🌱🌱🌱🌱🌱 🌱 Виолета Рид «Я тоже» не значит «люблю» 🌱остроумная история о писателе, который не верит в любовь, и редакторке, которая должна научить его чувствовать. 🌱горячий ромком 🌱мир книгоиздания 🌱 что вам приглянулось? Мож

❤‍🔥19💋19custom 53778104864127357051810💘2

6 Aug 2026, 06:35 UTC94 views56 reactionsread 7 August 2026
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🌟🌟 Доброе утро! 🌟🌟 странички в книге Дарьи просто летят. Сегодня хочу дочитать книгу) повторюсь, очень нравится атмосфера гонок. И во время заездов героев чувствуешь какое-то напряжение, и это реально очень круто 🔥 Чувства Вари никуда не ушли. А у Тимура тут нарисовался интересный брак. Что же, интересно, как герои будут сближаться. 🌟 забрала несколько новых книг. Буду потихоньку показывать) 🌟уже третий день у нас жу

17💋17custom 537781048641273570516❤‍🔥6

5 Aug 2026, 14:27 UTC94 views85 reactionsread 7 August 2026
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🩷🩷я тут начала читать 🩷🩷новинку Дарьи Беловой «Нелюбимая». И какая же тут крутая атмосфера гонок 🔥 «Свобода в каждом вдохе. Нигде таких эмоций нет, как в гонках» 🩷Меня уже выбесила «подруга» главной героини 😕 Но сама Варя мне нравится. Тимур, хоть и красавчик, пока не особо симпатизирует, но посмотрим, что будет дальше 😏 🤩 читали/планируете? 🤩🤩#ДарьяБелова 🤩🤩#Нелюбимая

25custom 537781048641273570525💋22🔥9❤‍🔥4

5 Aug 2026, 10:24 UTC≈63 views78 reactionsread 6 August 2026
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💛🅰️🅰️🅰️🅰️🅰️💛 🦋♥️♥️♥️ ♥️♥️🦋 🅰️🅰️🅰️🅰️🅰️🅰️🅰️🅰️🅰️ 🅰️🅰️🅰️🅰️🅰️ — Ты знаешь, как сильно я нуждаюсь в тебе. И прекрасно знаешь, что это никогда не мешало и не помешает мне верить в тебя как в бойца и как в свою жену. ♥️♥️♥️♥️♥️♥️♥️♥️♥️♥️😜 🐾Они заключили фиктивный брак, чтобы выжить. Айра привыкла не доверять никому. Даже собственной тени. Андрес давно усвоил, ч

5 Aug 2026, 08:55 UTC≈78 views73 reactionsread 6 August 2026
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💖💖💖💖💖♥️ 💖💖💖💖💖 💖💖💖 Яна Дин ❤️Запах свободы. Говорят, после заключения это что-то особенное. Ты свободен. Но я этого не почувствовал. Словно и там за решёткой, и здесь за пределами неё, я в огромной бездне. Без птички, каждая частичка этого мира, кажется чужой.❤️ 🤩🤩🤩#ЯнаДин 🤩🤩🤩#НиктоКромеНас 🤩🤩🤩

Showing the 12 most recent of 25 posts we hold for @bookmirlit. 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 — 91,674 of 1,336,469entries 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

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“О книгах с Катей” (@bookmirlit), 1,765 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/bookmirlit.

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.