Рассказываем о книгах и их авторах.
Мы публикуем новости из мира литературы и собираем вместе людей, которые любят читать так же сильно, как мы.
taplink.cc/read_action
Включена Роскомнадзором в перечень персональных страниц: https://clc.to/HOlzAg
Created
25 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 93% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Growth
65 measurements spanning 97 days, net -597. 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 21,927–22,876 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 20:51
22,169
-26
9 Nov 2026, 07:16
22,195
-7
7 Nov 2026, 22:48
22,202
-7
6 Nov 2026, 21:26
22,209
-21
6 Nov 2026, 00:30
22,230
-21
5 Nov 2026, 03:10
22,251
-12
4 Nov 2026, 00:18
22,263
-46
3 Nov 2026, 03:30
22,309
-50
2 Nov 2026, 06:21
22,359
-85
1 Nov 2026, 04:30
22,444
-98
31 Oct 2026, 05:26
22,542
+123
30 Oct 2026, 04:58
22,419
+121
29 Oct 2026, 04:38
22,298
+17
28 Oct 2026, 02:21
22,281
-1
27 Oct 2026, 04:57
22,282
+23
26 Oct 2026, 02:38
22,259
+21
24 Oct 2026, 23:38
22,238
+67
23 Oct 2026, 22:41
22,171
+135
22 Oct 2026, 21:29
22,036
-22
21 Oct 2026, 15:08
22,058
first reading
Engagement
165 posts held, back to 1 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 90 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.03%
avg views ÷ 22,169 subscribers
Avg views / post
1,780
33 posts measured
Reaction rate
2.20%
reactions ÷ views · ER floor
Posts in window
34
of 165 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 10 November 2026
Posts held
165 (1 August 2026 – 10 November 2026)
Views total
58,731
Reactions total
1,295
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 03:04 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
≈9,240
Videos
≈640
Links
≈3,830
Lifetime counters from Telegram’s own channel header, read 11 November 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
10m 00s
Average length
46s
Measured directly from 13 videos 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
6,595 reactions across 151 posts, in 36 distinct kinds. The most used accounts for 44.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,945
44.7%
🔥
1,617
24.5%
👍
671
10.2%
🥰
448
6.79%
❤🔥
147
2.23%
💋
131
1.99%
🕊
100
1.52%
😘
93
1.41%
🎉
84
1.27%
😍
40
0.607%
🍾
34
0.516%
✍
29
0.44%
💘
28
0.425%
😈
26
0.394%
💯
22
0.334%
🤩
21
0.318%
🤣
20
0.303%
🤨
19
0.288%
👏
14
0.212%
😁
13
0.197%
16 further kinds
93
1.41%
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 162 of the 165 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 7,036 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 165 most recent posts we hold, published 1 August 2026 to 10 November 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
Telegram’s own ‘edited’ marker: 3 of 34 posts held from the last 30 days (8.82%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
💫 Черная пятница уже здесь! Подборка книг со скидкой до 80% ждёт вас на сайте ЛитРес
///#книжные_скидки
Хиты Джеймса Роллинса и Терри Пратчетта, новинки Меган Баннен и Елены Дорош, нестареющая классика Николая Гоголя и Ивана Тургенева в одной подборке!
👉 Перейти к акции
Акция продлится до 15 ноября.
@Inspiria_books
НАЙТИ ОПОРУ В СЕБЕ ДАЖЕ В САМЫХ РИСКОВАННЫХ СИТУАЦИЯХ
///#книжная_новинка
🔥 Идеально для тех, кто хочет не просто переждать кризис, а найти в нем возможности для роста.
👉 Мир не дает гарантий. Но многое в нем по-прежнему зависит от нас.
📚 Елена Вавилова, Андрей Безруков: Стоицизм для разведчиков
25 лет под чужими именами. Каждая миссия — это новые документы, переезд и легенда, которую нужно воплотить в жизнь по ки…
🧠 Можно ли «переписать» человека, изменив его память?
Мы привыкли думать, что воспоминания записаны в нас раз и навсегда. Но на самом деле память — процесс творческий: вспоминая прошлое, мы каждый раз немного пересобираем его заново.
Специально для Psychologies писатель Константин Образцов порассуждал о том, насколько наша личность зависит от того, что мы о себе помним. В его новом романе «Метафора» фантастическая …
⚡️ УЖЕ В ПРОДАЖЕ: «Девятое ноября» Колин Гувер
///#книжные_новости
Это роман о шрамах — видимых и скрытых — и о том, как один день может изменить всю жизнь. Это роман о любви как эксперименте без обещаний и о правде, которая однажды обязательно потребует расплаты.
👉 Больше о книге
В книгах присутствуют сцены употребления наркотических веществ. Напоминаем: наркотики вредны для здоровья и запрещены законом.
🗓️ Купи…
КАК УСЛЫШАТЬ СВОЙ ВНУТРЕННИЙ ГОЛОС В БЕСКОНЕЧНОЙ СУЕТЕ И СОХРАНИТЬ НЕЖНОСТЬ
///#книжная_новинка
🔥 Эта книга — бережное пространство и тихое признание в любви себе.
👉 Внутри истории реальных женщин, глубокие авторские размышления, практики, дарящие опору и тепло.
📚 Марина Муравьева-Газманова: Ангелы идут рядом
Главы книги посвящены особому состоянию души и своему Ангелу, у каждого из которых есть земное отражение —…
🌙 Любуемся клипом по третьему тому Юй Сы «В черной краске становишься черным» перед началом рабочей недели!
///#смотри_с_художкой
🪽 Еще больше демонов и духов из китайской мифологии.
👁️ Вековые загадки, которые наконец будут раскрыты!
📖 О чем книга?
Великий даочжан Сюаньи оказался обманут коварным демоном! Или же... коварный демон был обманут великим даочжаном Сюаньи? Говорят, Учитель разорвал отношения со своим вт…
Отмечаем Всемирный день вампиров! 👄
Выбор даты связывают с двумя знаковыми для мифологии и литературы о вампирах событиями:
🦇 По некоторым данным, 8 ноября 1431 года родился князь Влад III Цепеш, ставший прототипом графа Дракулы.
🦇 8 ноября 1847 года родился Брэм Стокер — автор знаменитого романа «Дракула».
Ну а мы собрали для вас в подборку наши вампирские книги — и попытались передать их атмосферу через известные…
🤩 Как добавить немного романтики в ноябрьские дни? Окружить себя цветами, красивыми историями и приятными сюрпризами вместе с ЭКСМО х AESENSE!
///#советы_редакции
Только 9, 10 и 11 ноября вас ждет особенный подарок: при заказе букета в AESENSE вы получите новинку Колин Гувер «Девятое ноября» в подарок! 💓
🤩 Выбрать букет и оформить заказ можно на сайте.
Пусть этот ноябрь будет наполнен цветами и историями, которые …
📖 Литературные среды с Катей Качур!
///#анонс_мероприятия
18 ноября студенты ноябрьской «Литературной среды» вместе с писательницей поговорят о том, как действительные события или авторские впечатления от них ложатся в основу произведения.
❤️ Катя Качур — автор романов «Копия Веры», «Любимчик Эпохи», «Желчный Ангел» и других. Больше двадцати лет она работала в журналистской сфере.
Главное для писателя, как известн…
🦋 Вы просили — мы сделали! Первая иллюстрация из новинки Саши Хеллмейстер «Мертвая голова» уже ждет вас под спойлером!
///#кусочек_из_книги
В этой книге вы найдете откровенное повествование и взгляд на психологию серийного убийцы. Погрузитесь в историю Палача, маньяка из вселенной Hunters and victims. Если, конечно, осмелитесь...
🦋 Больше о книге
В книге присутствуют сцены употребления наркотических веществ. Напом…
👑 Королевский подарок для пятницы: Любуемся атмосферой новинки Элис Нокс «Двор опаленных сердец»
///#книжная_эстетика
Их союз начинается с презрения.
Продолжается ложью.
А сгорает в желании, которое оба считают ошибкой.
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👉 Больше о книге
Встретимся с…
❤30💋4👍2🥰2
Showing the 12 most recent of 165 posts we hold for @eksmo_fiction. 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.
Posts edited after publishing
@eksmo_fiction edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
14 August 2026
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.
Shares as published. No per-option vote count is published by Telegram, so none is 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 165 most recent posts we hold, published 1 August 2026 to 10 November 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
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 38 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 21 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Издательство Эксмо | Книги @eksmo · 58,710 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 22 August 2026
БОМБОРА 🌊 Книги, акции и океан интересного @bombora · 55,085 Telegram ranks this channel #8 of 84 here — alongside 83 others — read 23 August 2026
Книжный Лис 🦊📚 @booksfox · 47,848 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 26 August 2026
Издательство Inspiria @inspiria_books · 24,057 Telegram ranks this channel #11 of 87 here — alongside 86 others — read 17 September 2026
LiveLib | Лайвлиб @livelib_official · 31,035 Telegram ranks this channel #11 of 79 here — alongside 78 others — read 7 September 2026
Издательство АСТ @izdatelstvoast · 42,675 Telegram ranks this channel #11 of 87 here — alongside 86 others — read 30 August 2026
MAXIM | Юмор · Отношения · Спорт @MAXIM_all · 24,241 Telegram ranks this channel #13 of 56 here — alongside 55 others — read 16 September 2026
Издательство МИФ @mifbooks · 54,939 Telegram ranks this channel #13 of 94 here — alongside 93 others — read 23 August 2026
Азбука.Книгоголики @azbookaknigogoliki · 27,923 Telegram ranks this channel #20 of 91 here — alongside 90 others — read 11 September 2026
Альпина Паблишер @alpinaru · 22,373 Telegram ranks this channel #25 of 99 here — alongside 98 others — read 23 September 2026
О2 Young adult книги @o2_books · 35,076 Telegram ranks this channel #28 of 84 here — alongside 83 others — read 3 September 2026
Редакция Мейнстрим (Mainstream) @ast_mainstream · 22,251 Telegram ranks this channel #32 of 78 here — alongside 77 others — read 23 September 2026
Черным-бело | Новое молодежное фэнтези @chernym_belo · 20,009 Telegram ranks this channel #36 of 84 here — alongside 83 others — read 1 October 2026
МИФ.Проза @mifproza · 52,876 Telegram ranks this channel #42 of 85 here — alongside 84 others — read 25 August 2026
Читай-город @chitai_gorod_official · 142,637 Telegram ranks this channel #46 of 81 here — alongside 80 others — read 13 August 2026
Литрес @LitRes_ebooks · 52,958 Telegram ranks this channel #48 of 77 here — alongside 76 others — read 24 August 2026
Издательство Like Book @likebook_ya · 35,162 Telegram ranks this channel #54 of 79 here — alongside 78 others — read 3 September 2026
Books around me @booksaroundme · 21,901 Telegram ranks this channel #76 of 86 here — alongside 85 others — read 22 September 2026
This channel appears in 18 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Имена | Издательство Эксмо” (@eksmo_fiction), 22,169 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/eksmo_fiction.
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.