9 measurements spanning 7 days, net -44. 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 20,434–20,492 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 00:48
20,441
-8
12 Aug 2026, 03:42
20,449
-6
11 Aug 2026, 05:45
20,455
-7
10 Aug 2026, 03:21
20,462
+1
9 Aug 2026, 05:52
20,461
-2
8 Aug 2026, 07:15
20,463
-16
7 Aug 2026, 06:17
20,479
-6
6 Aug 2026, 08:40
20,485
no change
6 Aug 2026, 05:03
20,485
first reading
Engagement
17 posts held, back to 4 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
6.71%
avg views ÷ 20,441 subscribers
Avg views / post
1,370
17 posts measured
Reaction rate
2.90%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 12 August 2026
Posts held
17 (4 August 2026 – 12 August 2026)
Views total
23,317
Reactions total
677
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 23:23 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
Video runtime
10s
Average length
10s
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
563 reactions across 14 posts, in 21 distinct kinds. The most used accounts for 26.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
149
26.5%
custom 5301210148415509084
111
19.7%
❤🔥
74
13.1%
🔥
61
10.8%
😁
46
8.17%
👍
30
5.33%
custom 5301133517609009554
18
3.20%
👀
13
2.31%
🍓
12
2.13%
😍
12
2.13%
💘
9
1.60%
⚡
5
0.888%
🤨
5
0.888%
🎅
4
0.71%
🎉
4
0.71%
🤔
4
0.71%
🤣
2
0.355%
🆒
1
0.178%
👏
1
0.178%
💊
1
0.178%
1 further kind
1
0.178%
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 17 of the 17 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 677reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 4 August 2026 to 12 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 17 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @LitResPublishing. 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 17 most recent posts we hold for this entry, published 4 August 2026 to 12 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.
Работа с прямой речью 💭
Атрибуция — авторские слова в диалогах, которые обозначают, кто говорит реплику или как её произносит. Они помогают читателю не запутаться, кому принадлежат реплики, и почувствовать настроение разговора. Как с этой атрибуцией работать чтецу?
Есть несколько подходов к озвучиванию атрибуции. Собрали мнения, приёмы и советы на карточках. Листайте, сохраняйте интересное. Расскажите, а вы озвучив…
Не читайте — иногда это полезно 📚
Как часто вы покупали книги, которые ждали или до сих пор жду своего часа? Их количество растёт, полка пополняется. Непрочитанных книг становится больше, чем прочитанных.
У такой коллекции есть название — антибиблиотека. Умберто Эко считал, что нетронутые тексты не ложатся тяжким грузом на душу, а напоминают о том, сколько всего мы можем узнать в будущем. Книга рассматривается как …
Какой он — хороший финал?
Можно простить затянутое начало. Можно закрыть глаза на пару спорных сцен. Но неудачная концовка изменит впечатление о книге навсегда.
Собрали чек-лист для самопроверки перед публикацией книги. Каждая история уникальна и не обязана соответствовать всем пунктам. Но такой список поможет посмотреть на финал свежим взглядом и заметить то, что легко упустить во время работы над текстом.
Также …
Топ чтецов июля
Мастера голоса покоряют новые вершины эти летом, почётный список уже на сайте:
🧡 Узнать
Расскажите, что озвучивали или читали за последний месяц, какие профессиональные открытия сделали или с какими проблемами в процессе столкнулись.
#чтец_топы
Редактируем рукопись
Текст книги готов, финальная точка поставлена, но работа автора на этом не заканчивается — впереди вычитывание рукописи, редактура и корректура. Этому и посвящена новая неделя #роман_за_лето26.
Виталий Сероклинов, Мария Лебедева и Марита Лидман подготовили советы: с чего начать редактуру своей книги, как найти у себя смысловые ошибки. А мы собрали в помощь авторам полезные статьи блога и посты …
Проверено писателями🤎
У каждого книголюба есть книга, которую хочется перечитывать, советовать друзьям и хранить в сердце. Мы задались вопросом – а какие тексты вдохновляют тех, кто сам пишет истории?
Ко Дню книголюба мы попросили авторов Литрес поделиться своими любимыми произведениями. Листайте карточки – возможно, среди этих рассказов найдётся ваша следующая любимая книга.
🌟«Таинственный остров», Жюль Верн
🌟«Тр…
Дорогие друзья, подготовили небольшой опрос о блоге издательских сервисов Литрес. Хотим узнать, читаете ли вы блог, какие материалы наиболее интересны для вас, а каких тем и рубрик, на ваш взгляд, не хватает.
Ваша обратная связь поможет нам стать ещё полезнее!
💙 Опрос здесь
Финалисты выбраны — теперь настало время художников 🖌
Инженерный холдинг АО «ЗАСЛОН» и Литрес приглашают иллюстраторов подарить этим историям визуальную жизнь и стать частью проекта, создающего миры будущего.
Ваша миссия:
🔵выберите рассказ из списка финалистов;
🔵создайте серию минимум из трёх иллюстраций;
🔵отправьте работу через форму на лендинге до 3 сентября 2026 года.
Лучшие иллюстрации войдут в официальный печ…
Комментарии к главам — новая функция для Книг в процессе 💬
Теперь пользователи могут легко делиться впечатлениями во время чтения, спорить о поступках героев, строить теории и вместе ждать продолжения истории!
Для автора это удобный способ оставаться в диалоге с читателями, видеть их реакцию и поддерживать интерес к книге между обновлениями.
Функция доступна на сайте и в приложении Литрес. Найти комментарии можно …
Showing the 12 most recent of 17 posts we hold for @LitResPublishing. 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 — 20,859 of 1,160,990entries 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 5 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Литрес Авторы (Литрес Самиздат) | Литрес Чтец” (@LitResPublishing), 20,441 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/LitResPublishing.
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.