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Channel

предпо(читаю)

@prefer_books

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

1,153subscribers

-37 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-1002429426781
TypeChannel
Username@prefer_books
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live28 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 28 August 2026
On Telegramt.me/prefer_books

Growth

1,1531,1901,171.57 August 2026 — 1,190 subscribers7 August 2026 — 1,190 subscribers8 August 2026 — 1,187 subscribers11 August 2026 — 1,184 subscribers15 August 2026 — 1,183 subscribers18 August 2026 — 1,173 subscribers22 August 2026 — 1,163 subscribers25 August 2026 — 1,158 subscribers28 August 2026 — 1,153 subscribers7 August 202628 August 2026
9 measurements spanning 21 days, net -37. 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 1,147–1,196 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Aug 2026, 21:151,153-5
25 Aug 2026, 14:461,158-5
22 Aug 2026, 10:221,163-10
18 Aug 2026, 14:351,173-10
15 Aug 2026, 05:131,183-1
11 Aug 2026, 11:571,184-3
8 Aug 2026, 11:311,187-3
7 Aug 2026, 23:181,190no change
7 Aug 2026, 17:491,190first reading

Engagement

6 posts held, back to 31 July 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
20.5%
avg views ÷ 1,153 subscribers
Avg views / post
236
6 posts measured
Reaction rate
30.6%
reactions ÷ views · ER floor
Posts in window
6
of 6 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 held6 (31 July 20267 August 2026)
Views total1,417
Reactions total433
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:18 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

433 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 46.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 530304594628683752920146.4%
custom 539577290293302525712629.1%
custom 539551705602617145510624.5%

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 6 of the 6 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 433reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 31 July 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, 15:55 UTC106 views44 reactionsread 7 August 2026
Photo

> урвав 30 минут перед стрижкой, наконец начала книгу, которую вы для меня выбрали ⊹ 🌫️ ˖ 🌫️ как я и думала, 🌫️ победил стейнбек! ‘к востоку от эдема’ меня не впечатлил [отзыв], но очень хочется дать автору второй шанс. начинаю без больших ожиданий. :: какое ваше любимое произведение у писателя?

custom 530304594628683752918custom 539577290293302525714custom 539551705602617145512

6 Aug 2026, 13:53 UTC184 views74 reactionsread 7 August 2026
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🌫️🌫️ 2 дня детокса от соц. 🌫️🌫️ сетей прошли успешно! мушкетеры дочитаны [пишу отзыв], борщ сварен, а по убранному дому ближайшие две недели будут бродить сразу два кошачьих носа. > наконец выбираем следующую книгу :: 🖤 — ‘vita nostra: работа над ошибками’ дяченко ☕ — ‘о мышах и людях’ стейнбека

custom 530304594628683752937custom 539577290293302525723custom 539551705602617145514

3 Aug 2026, 17:38 UTC271 views85 reactionsread 7 August 2026
Photo

🌟🌟 +1 кофейно-книжное 🌟🌟 пространство в москве сегодня утром добралась до ‘планов на жизнь’ на бауманской :: очаровалась ажурными занавесками на входе, красивыми чашечками и большим выбором книг. меню скромное, чего не скажешь о ценах на книги и другие товары 😢…но ради атмосферы точно стоит заглянуть! > выпить кофе, купить книгу вслепую или напечатать открытку на настоящей печатной машинке → спартаковская площадь,

custom 530304594628683752939custom 539577290293302525724custom 539551705602617145522

3 Aug 2026, 13:01 UTC253 views66 reactionsread 7 August 2026
Photo

🤡🤡🤡🤡🤡 возобновляю чтение ‘трех мушкетеров’ и выхожу на финишную прямую! 🤡 605/718 // честно сказать, я немного разочаровалась в героях… чем дальше читаю, тем сильнее все сводится к материальным ценностям, мести и бесконечным разговорам о чести, которой на деле обладают далеко не все. себялюбцы и пустословы :: такими сейчас предстают для меня мушкетеры, хотя понимаю, что смотреть на сюжет XVII века глазами современн

custom 530304594628683752933custom 539551705602617145518custom 539577290293302525715

1 Aug 2026, 11:22 UTC292 views90 reactionsread 7 August 2026
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── .✦ еще на один месяц ближе к любимому времени года! летний книжный план пока не выполнен, а я уже думаю, с какой книги начну сентябрь. [а пока выдыхаем после напряженного июля и отдыхаем на даче!] ‘’🤩🤩 :: что предпочитаете, лето или осень?

custom 530304594628683752940custom 539577290293302525729custom 539551705602617145521

31 Jul 2026, 16:57 UTC311 views74 reactionsread 7 August 2026
Photo

👦👦👈 // один из лучших фильмов за последнее время! > тут нет места ярким краскам и чудесам. боги умерли и оставили людей пожинать последствия собственных решений. нолан рассказал мрачную историю возвращения старого, измученного войной человека, который, снедаемый болью утраты, чувством вины и воспоминаниями о невозвратной жизни, десять лет искал забвения. я ненавидела антиноя, со слезами сопереживала пенелопе, подд

custom 530304594628683752934custom 539577290293302525721custom 539551705602617145519

Showing the 6 most recent of 6 posts we hold for @prefer_books. 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 — 925,786 of 1,626,711entries 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 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 28 August 2026 — this entry's latest reading, not the date you are reading this.

“предпо(читаю)” (@prefer_books), 1,153 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/prefer_books.

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.