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Channel

книжный клуб афéлии

@afeliabookclub

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

1,116subscribers

+41 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-1002640470332
TypeChannel
Username@afeliabookclub
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/afeliabookclub

Growth

1,0751,1161,095.56 August 2026 — 1,075 subscribers6 August 2026 — 1,075 subscribers9 August 2026 — 1,101 subscribers12 August 2026 — 1,104 subscribers15 August 2026 — 1,116 subscribers6 August 202615 August 2026
5 measurements spanning 10 days, net +41. 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 1,069–1,122 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 20:071,116+12
12 Aug 2026, 09:231,104+3
9 Aug 2026, 11:111,101+26
6 Aug 2026, 12:351,075no change
6 Aug 2026, 04:371,075first reading

Engagement

10 posts held, back to 21 June 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
73.2%
avg views ÷ 1,116 subscribers
Avg views / post
817
5 posts measured
Reaction rate
3.57%
reactions ÷ views · ER floor
Posts in window
5
of 10 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 31 July 2026
Posts held10 (21 June 202631 July 2026)
Views total4,086
Reactions total146
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 12:35 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

281 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 55.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
15755.9%
🥰5619.9%
🍓3813.5%
🕊238.19%
🤓62.14%
😴10.356%

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 10 of the 10 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 281reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 21 June 2026 to 31 July 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

31 Jul 2026, 13:04 UTC219 views24 reactionsread 6 August 2026
Photo

дорогие, всем привет! 🎀 собрали семь фактов о Франсуазе Саган и романе «Здравствуй, грусть» 💕

11🥰8🕊3🤓2

28 Jul 2026, 14:43 UTC497 views30 reactionsread 6 August 2026
Photo

итак! следующая книга - «Здравствуй, грусть» Франсуазы Саган💋 давно хотела обсудить её с вами. во-первых, потому, что в 2024 году вышла просто невероятно красивая экранизация, а во-вторых, потому, что я очень люблю Саган!😆 экранизаций, кстати, несколько - обязательно посмотрим, сравним и обсудим!🐶 приятного чтения! книга небольшая и читается на одном дыхании 🤍

🕊1211🥰4🍓3

25 Jul 2026, 16:40 UTC≈2,240 views37 reactionsread 6 August 2026
Video message

Video message, posted without a caption

19🍓8🥰6🕊4

25 Jul 2026, 16:40 UTC509 views18 reactionsread 6 August 2026

Дорогие, всем привет! 💓 Мы принесли новости и пару мыслей о том, каким будет следующий этап😊

11🕊4🍓2😴1

20 Jul 2026, 15:44 UTC621 views37 reactionsread 6 August 2026
Forwarded from @afelialisaPhoto

ЛОНГРИД ОТ АФЕЛЬКИ🐻 «Учитесь на том, что трудно и не дается, а не на том, что легко и само собой приходит» — К. С. Станиславский. когда меня настигает хандра или я оказываюсь в творческом тупике, чаще всего я иду и перечитываю в сотый раз Станиславского или нахожу что-то новое, как случилось неделю назад. мы с Илюхой были в Питере и зашли в букинистический магазин «Академия» - там можно найти старые и редкие издани

28🥰5🤓4

14 Jul 2026, 11:37 UTC629 views46 reactionsread 6 August 2026
Photo

Дорогие мои, всем привет! ❤️ Мы ненадолго пропали, потому что сейчас занимаемся небольшой перестройкой нашего книжного клуба! Не переживайте, мы никуда не исчезли!🙏 Спасибо, что вы с нами и ждёте. Уже совсем скоро вернёмся с новостями😊

27🥰10🍓9

22 Jun 2026, 10:22 UTC760 views45 reactionsread 6 August 2026
Video

вот так прошла наша вчерашняя встреча по книге Рэя Брэдбери «Вино из одуванчиков»! спасибо каждому, кто был с нами, у нас наконец-то получилось сделать пикник ❤️ для нас очень ценно, что вы подключаетесь к книжному клубу, приходите на встречи, читаете вместе с нами и становитесь частью нашего классного комьюнити🩵 следите за информацией о следующей книге — скоро всё расскажем!🤍

22🥰12🍓11

21 Jun 2026, 17:34 UTC692 views30 reactionsread 6 August 2026
Photo

спасибо всем за такую тёплую встречу!❤️🌸 надеюсь, что у вас получилось сегодня немного выдохнуть и расслабиться! обнимаем!🌸

14🥰11🍓5

21 Jun 2026, 13:05 UTC631 views6 reactionsread 6 August 2026

еще ориентир, на всякий случай, ресторан 3205!🌸

6

21 Jun 2026, 12:55 UTC657 views8 reactionsread 6 August 2026
Video

Как нас найти с Успенского переулка! если вы пойдете от главного входа, то ориентируйтесь на главный фонтан в середине парка! Вы нас увидите точно! ❤️ Если что пишите сюда!

8

Showing the 10 most recent of 10 posts we hold for @afeliabookclub. 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 — 493,134 of 1,481,306entries 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.

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.

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

“книжный клуб афéлии” (@afeliabookclub), 1,116 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/afeliabookclub.

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.