Telegram RegisterThe public register of Telegram

Channel

Книжная околица

@bookzabor

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

1,959subscribers

+9 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-1001254018323
TypeChannel
Username@bookzabor
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/bookzabor

Growth

1,9501,9771,963.56 August 2026 — 1,950 subscribers6 August 2026 — 1,950 subscribers6 August 2026 — 1,952 subscribers9 August 2026 — 1,977 subscribers12 August 2026 — 1,959 subscribers1,9596 August 202612 August 2026
5 measurements spanning 6 days, net +9. 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 1,946–1,981 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 09:361,959-18
9 Aug 2026, 18:441,977+25
6 Aug 2026, 14:501,952+2
6 Aug 2026, 06:331,950no change
6 Aug 2026, 02:181,950first reading

Engagement

10 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
22.2%
avg views ÷ 1,959 subscribers
Avg views / post
435
10 posts measured
Reaction rate
11.5%
reactions ÷ views · ER floor
Posts in window
10
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 7 August 2026
Posts held10 (2 August 20267 August 2026)
Views total4,349
Reactions total502
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:12 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

358 reactions across 8 posts, in 15 distinct kinds. The most used accounts for 47.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
16947.2%
custom 53281771485554545794211.7%
👾3610.1%
❤‍🔥246.70%
🔥174.75%
💔164.47%
🤩164.47%
💋154.19%
💘61.68%
🥰61.68%
custom 541364942010741112351.40%
👍20.559%
💅20.559%
🎉10.279%
🕊10.279%

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 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 502reactions 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 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, 14:02 UTC145 views28 reactionsread 7 August 2026
Photo

В воронежской Элефтерии откопала старый номер журнала Носорог за осень-зиму 2021-2022 годов. Умираю с красоты выпуска, предлагаю и вам на него посмотреть. За визуальную историю номера отвечали работы Ахмата Биканова, но моими главными жемчужинами стала крышесносная дерзкая поэзия Нормы Коул (на фото, кстати, одна из её поэм) из книги «Fate News» и метафоричный рассказ Ольги Медведковой «Эмилия в комнатах». Несколько

12custom 53281771485554545797💘6👾3

7 Aug 2026, 13:30 UTC202 views28 reactionsread 7 August 2026

В связи с экстраординарными обстоятельствами пришлось завершить розыгрыш чуть раньше чем планировалось, однако, не сильно расстраиваемся, я нашла в воронежском независимом книжном магазине несколько редкостей и думаю через пару-тройку месяцев проведу какой-нибудь розыгрыш снова. Очень понравилось дарить отличные книжки хорошим людям. И всем спасибо за поддержку! 😺

11💋6🥰6👾4🔥1

6 Aug 2026, 15:53 UTC314 views41 reactionsread 7 August 2026
Photo

На первой фотографии я стою с офигенной сумкой Фонаря «Ничего запрещённого, только книги» и смотрю в телефоне на расписание мероприятий благотворительного маркета, а вторым фото предлагаю поучаствовать в новом небольшом поп-ап Фонаре, который пройдёт в Москве уже 16 августа в «Рябовской мануфактуре» в помощь благотворительному фонду «Жить вместе». Очень нужны книжки, все прочитанные и недочитанные, ненужные вам, но

22🔥8custom 53281771485554545798❤‍🔥1🎉1👾1

6 Aug 2026, 07:27 UTC349 views57 reactionsread 7 August 2026
Photo

Наконец-то добралась до «Береги косу, Варварушка» Варвары Заборцевой. Почти полгода откладывала чтение, чтобы прочесть дома, на даче, вдали от мирской мегаполисной суеты, хотя моя южная дача и красочный северный метафоричный язык, конечно, не одно и то же. Очень рада, что «Варварушка» вышла в серии Азбука.Голоса под редакцией Марии Нестеренко, и в небольшом сборнике рассказов и повестей каждая история выкристаллизиро

28👾12custom 532817714855545457910🔥3custom 54136494201074111233❤‍🔥1

5 Aug 2026, 17:31 UTC364 views26 reactionsread 7 August 2026

Напоминаю, что через четыре дня закончится легендарный розыгрыш аж с десятью офигенными книгами, поэтому ловите удачу, подписывайтесь на моих прекрасных подруг (я это и без розыгрыша всем советую! там такой эстикю) и ждите результатов 🌞

custom 53281771485554545799❤‍🔥86custom 54136494201074111232👾1

5 Aug 2026, 08:43 UTC395 views60 reactionsread 7 August 2026
Photo

Пока была в Петербурге, прочла мемуары Тоидзуми Ёнэко «Сирень и война» о жизни во Владивостоке, куда она приезжает вместе со своей тётей в раннем детстве и по стечению обстоятельств остаётся на семнадцать лет, охватив турбулентный период советской жизни, начиная с двадцатых и заканчивая сороковыми. Книгу издал владивостокский независимый книжный магазин Игра слов, запустив ею свою издательскую программу. С любопытств

30💔16👾7🔥4custom 53281771485554545792❤‍🔥1

4 Aug 2026, 08:28 UTC≈1,330 views47 reactionsread 7 August 2026
Photo

Новый день — новая детская книжка. В этот раз совершейнейшее чудо от поляндрии — добрая история «Как рождаются деревья» Шарля Бербериана с акварельными работами во весь разворот. Сюжет довольно простой, но и книга предназначена для самых маленьких любителей природы. Мать, сын и презабавный пьос идут в лес, размышляя о том, откуда берутся деревья. Любопытство мальчика выражается в бесконечных почему, а также наблюдени

21💋9👾7custom 53281771485554545795💅2❤‍🔥1🔥1🕊1

3 Aug 2026, 15:14 UTC420 views71 reactionsread 7 August 2026
Photo

Вчерашняя воронежская презентация «Снежных дней сквозь года» прошла офигенно. Поговорили с Дарьей Трайден про беларускую литературу, автофикшен и в целом о жизни. Спасибо всем, кто пришёл и спасибо офигенной площадке в вайбовом доме на Пятницкого, 52, которая предоставила для презентации место. Между прочим, там есть коммунальная библиотека с шикарным ассортиментом книжек. Если будете в Воронеже — обязательно заходит

39🤩16❤‍🔥12👍2👾1custom 53281771485554545791

3 Aug 2026, 06:46 UTC≈400 views47 reactionsread 6 August 2026
Photo

Влюбилась в детскую книжку Подписных изданий, которую ждала ещё с момента самых ранних анонсов издательских планов. Шаша Мартынова вместе с Мишей Никатиным создали совершенно восхитительных «Патату и Кулури». Я знаю Шашу как переводчицу огромного количества крутых книг про Ирландию — Колма Тойнбина, Флэнна О'Брайена, Джеймза Стивенза, да и вообще, мне кажется, мало кто сделал для моей любви к Ирландии больше, чем Шаш

2 Aug 2026, 07:28 UTC≈430 views97 reactionsread 6 August 2026
Photo

Дача матча хата хаус жизнь, только никакой матчи там, конечно же, не было. Раз в год оказываюсь в цветочном раю, чтобы напитаться этой атмосферой на всю будущую жизнь. В детстве эти шесть соток казались неподъемной болью пространства работы, а сейчас мы с мамой ютимся на них как на крошечном пятачке, пока она в пик жары читает детективы Марининой, а я «Варварушку» Заборцевой.

Showing the 10 most recent of 10 posts we hold for @bookzabor. 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 — 18,970 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

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 30 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“Книжная околица” (@bookzabor), 1,959 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/bookzabor.

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.