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Channel

Встреча на страницах книг

@inpagesbooks

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

1,698subscribers

-80 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002724630111
TypeChannel
Username@inpagesbooks
CreatedBetween 1 June 2025 and 31 August 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/inpagesbooks

Growth

1,6981,7781,7387 August 2026 — 1,778 subscribers7 August 2026 — 1,778 subscribers8 August 2026 — 1,762 subscribers11 August 2026 — 1,726 subscribers15 August 2026 — 1,698 subscribers7 August 202615 August 2026
5 measurements spanning 8 days, net -80. 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 1,686–1,790 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 15:161,698-28
11 Aug 2026, 20:281,726-36
8 Aug 2026, 16:051,762-16
7 Aug 2026, 22:301,778no change
7 Aug 2026, 22:241,778first reading

Engagement

9 posts held, back to 2 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.4%
avg views ÷ 1,698 subscribers
Avg views / post
278
9 posts measured
Reaction rate
25.2%
reactions ÷ views · ER floor
Posts in window
9
of 9 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 held9 (2 August 20267 August 2026)
Views total2,503
Reactions total630
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 22:30 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
1m 06s
Average length
1m 06s

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

630 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 53.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 522454565219679481033553.2%
custom 521969006711462250610917.3%
custom 525144524711999710510516.7%
custom 53099531771167692308112.9%

Custom emoji. Every 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 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 630reactions 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 2 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, 05:31 UTC184 views57 reactionsread 7 August 2026
Photo

😳😁😘🥹:: все, наконец-то 🥹😍😱 наступили продолжительные выходные, в которые я уезжаю отдохнуть к родным! в планах взять пару дней детокса от соц сетей (надеюсь вы простите мне это отсутствие 🌟), успеть со всеми встретиться и немного уйти в книжный запой. [в поездку решила взять две книги]: 😘 «Договор на любовь»- это роман о руководителе крупной компании и его помощнице, которые заключают фиктивное соглашение на брак, н

custom 522454565219679481027custom 525144524711999710517custom 521969006711462250613

6 Aug 2026, 14:10 UTC216 views60 reactionsread 7 August 2026
Photo

🤩🫀🧤:: единственная мысль после прочтения этого шедевра- сотрите мне память и дайте заново перечитать! «Агнес Грей» это тихий, искренний и очень жизненный роман, который покоряет не громкими событиями, а глубиной чувств и жизненными поворотами судьбы. каждое действие Агнес вызывали во мне восхищение- столь стойкая девушка, которая борется за благополучие семьи и параллельно сражается за свои права в роли гувернантки.

custom 522454565219679481034custom 530995317711676923016custom 521969006711462250610

6 Aug 2026, 09:13 UTC230 views45 reactionsread 7 August 2026
Photo

📖📖📖✨:: пришло осознание, 📖📖📖что кроме «Мастер и 📖📖📖 Маргарита» я совершенно не знакома с остальным творчеством Булгакова… значит время исправлять и планировать, что буду читать у него дальше! собрала мини подборку книг, которые больше всего заинтересовали. что читали у Михаила Булгакова? что посоветуете читать 100%?📖📃

custom 522454565219679481029custom 521969006711462250616

6 Aug 2026, 07:03 UTC253 views37 reactionsread 7 August 2026
Photo

Напоминаю заглянуть на канал Леры! Место, где вас уже ждут новые истории, атмосферные книжные подборки и творческие проекты. Если хочется уютного книжного пространства и вдохновения— вам точно туда. ⭐️⭐️

custom 522454565219679481020custom 521969006711462250611custom 52514452471199971056

5 Aug 2026, 09:35 UTC328 views103 reactionsread 7 August 2026
Photo

🤩🤩🤩🤩 «Агнес Грей» 🤩🤩🤩 Энн Бронте 🤩🤩🤩 до своей поездки к бабушке решила взять малышку «Агнес Грей», которую так и не успела прочитать в июле. после «Незнакомки» у меня остались самые приятные впечатления, поэтому возлагаю большие надежды на эти 254 страницы Энн Бронте! знакомы с этим произведением и автором в целом?🤩🤩

custom 522454565219679481058custom 530995317711676923024custom 525144524711999710521

5 Aug 2026, 07:02 UTC321 views51 reactionsread 7 August 2026
Photo

📚Добро пожаловать в место, где книги становятся чуть ближе. Если вам нравится читать не только сюжеты, но и эмоции, обсуждать героев и находить новые истории для своего списка "обязательно прочитать" — вы точно по адресу. На канале вас ждут: 🤍честные отзывы без спойлеров; 📖уютные подборки книг на любое настроение; ✍️главы моего романа «По страницам нашего лета», который постепенно оживает на просторах Литнета; 🕯️м

custom 525144524711999710529custom 522454565219679481015custom 52196900671146225067

4 Aug 2026, 09:08 UTC300 views90 reactionsread 7 August 2026
Photo

🤩🤩🤩:: перечитав в третий раз «Мастер и Маргарита» я осознала вновь- это произведение гениально в своем исполнении! Булгаков удивительным образом переплел сатиру, философию, мистику и историю, создав произведение, в котором каждый найдет свой смысл. эта книга заставляет размышлять о добре и зле, свободе, выборе, любви, прощении и цене человеческой трусости. с каждой главой я все сильнее восхищалась тем, насколько мног

custom 522454565219679481050custom 525144524711999710524custom 530995317711676923016

3 Aug 2026, 09:16 UTC323 views88 reactionsread 7 August 2026
Photo

🧸🧸:: первые 200 страниц пролетели на одном дыхании! я снова прогулялась с Воландом по Патриаршим прудам, прочувствовала личную трагедию Понтия Пилата и Иешуа, стала соучастником в проделках кота Бегемота и Коровьева. каждая новая глава романа «Мастер и Маргарита» ощущается, как возвращение к чему-то родному и знакомому. мне повезло начать чтение под ливень и грозу- атмосфера была невероятная! и вот я подхожу к главно

custom 522454565219679481044custom 530995317711676923025custom 521969006711462250619

2 Aug 2026, 11:50 UTC348 views99 reactionsread 7 August 2026
Photo

🌫️🌫️🌫️«Мастер и Маргарита» 🌫️🌫️🌫️ Михаил Булгаков наконец-то возвращаюсь спустя год к одной из любимейших книг! каждое следующее прочтение открывает мне глаза на новые смыслы заложенные в этом произведении Булгаковым для читателя. решили перечитать вместе с Настей- будем обсуждать прочитанное и делиться впечатлениями! с какой книгой начинаете месяц вы?🌫️🌫️

custom 522454565219679481058custom 521969006711462250633custom 52514452471199971058

Showing the 9 most recent of 9 posts we hold for @inpagesbooks. 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 — 368,385 of 1,480,944entries 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.

Mentions

Named by 3 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.

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

“Встреча на страницах книг” (@inpagesbooks), 1,698 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/inpagesbooks.

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.