Channel
@books_sklad
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
3,979subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001416877973 |
|---|---|
| Type | Channel |
| Username | @books_sklad |
| Created | 19 August 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 2 times, most recently 17 August 2026 |
| On Telegram | t.me/books_sklad |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 00:57 | 3,979 | +1 |
| 7 Aug 2026, 06:40 | 3,978 | +1 |
| 6 Aug 2026, 13:31 | 3,977 | no change |
| 6 Aug 2026, 13:23 | 3,977 | first reading |
9 posts held, back to 4 June 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 4 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 4 August 2026 |
|---|---|
| Posts held | 9 (4 June 2026 – 4 August 2026) |
| Views total | 971 |
| Reactions total | 22 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:45 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.
115 reactions across 9 posts, in 7 distinct kinds. The most used accounts for 40.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 47 | 40.9% | |
| custom 5278321868263144498 | 22 | 19.1% | |
| custom 5244688834066661296 | 17 | 14.8% | |
| 👍 | 16 | 13.9% | |
| 💔 | 11 | 9.57% | |
| 🌚 | 1 | 0.87% | |
| 🦄 | 1 | 0.87% |
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 9 of the 9 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 115reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 4 June 2026 to 4 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.
Залипалово на вечер: карты действий классических романов, от «Гэтсби» до «Улисса» и «Войны и мира» https://peter-guillam123.github.io/plotlines/ Есть даже «Преступление и наказание» с таймлайном по главам Залипалово по гомеровским эпосам есть по ссылке в реплае
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Компании, разрабатывающие ИИ, начали массово скупать печатные книги, чтобы оцифровывать их содержимое и использовать полученные тексты для обучения моделей. Одной из компаний, прибегнувших к такой практике, стала Anthropic. Она закупала книги у продавцов подержанной литературы, срезала страницы с помощью гидравлического оборудования, а затем сканировала их на промышленных установках. В результате книги фактически …
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В Париже завершился процесс над исполнителями книжных краж во французских библиотеках. Об этих преступлениях писали много, в том числе и про «русский след». Журналисты делали запросы в один аукционный дом, где продавалось кое-что из похищенного. После этого «нехорошие» фотографии исчезли. Но архив Интернета помнит все. Я специально держалась в стороне от этой грязной истории, хотя, в отличие от гламурных искусствове…
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Photo, posted without a caption
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Поросяточки по сучкам висят, По сучкам висят, полететь хотят... Булатов, Михаил Александрович. Сине-море огнем горит : (Небылицы) : [Для дошкольного возраста] / [Ил.: Н. Строганова и М. Алексеев]. — [Москва] : Детский мир, 1960. — [19] с. : ил.; 20×27 см. Иллюстрация на сайте ОРПК Подписаться | Поддержать Издательская программа
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В центре нашего внимания — уникальные рисунки 1603 года, запечатлевшие похоронную процессию английской королевы Елизаветы I. Это был один из самых пышных похоронных обрядов в истории Англии. Гроб на катафалке, запряженном четверкой лошадей в черных бархатных попонах, двинулся к Вестминстерскому аббатству. Очевидцы писали, что улицы были забиты народом: «раздались вздохи, стоны и плач, подобных которым не слышали за в…
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Потяни, если хочешь увидеть мою киску😽 📚Книжный склад
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Впервые вижу такое фото Ахматовой! Сделано в 1925 году Павлом Лукницким. Из архива Виктора Некрасова
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Первое издание книги Льюиса Кэрролла «Алиса в Зазеркалье». London: Macmillan Publishers, 1872. Тираж 9000 экз. Иллюстрации к книге выполнил Джон Тенниел (1820–1914) — один из самых известных британских художников-графиков викторианской эпохи. На протяжении более пятидесяти лет он был ведущим карикатуристом сатирического журнала Punch. Всемирную известность Тенниелу принесли иллюстрации к книгам Льюиса Кэрролла «Али…
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Showing the 9 most recent of 9 posts we hold for @books_sklad. 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
“Книжный склад” (@books_sklad), 3,979 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/books_sklad.
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.