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Channel

Bravo Book

@bravo_book

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

377subscribers

-6 since we began measuring on 29 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001838875288
TypeChannel
Username@bravo_book
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded29 August 2026
Last confirmed live15 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/bravo_book

Growth

377384380.529 August 2026 — 383 subscribers29 August 2026 — 383 subscribers30 August 2026 — 384 subscribers8 September 2026 — 379 subscribers15 September 2026 — 377 subscribers29 August 202615 September 2026
5 measurements spanning 17 days, net -6. 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 376–385 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 13:59377-2
8 Sept 2026, 02:21379-5
30 Aug 2026, 01:34384+1
29 Aug 2026, 11:15383no change
29 Aug 2026, 11:01383first reading

Engagement

16 posts held, back to 28 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 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
16.2%
avg views ÷ 377 subscribers
Avg views / post
61.0
1 post measured
Reaction rate
14.8%
reactions ÷ views · ER floor
Posts in window
1
of 16 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 27 August 2026
Posts held16 (28 July 202627 August 2026)
Views total61
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 11:15 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

187 reactions across 16 posts, in 9 distinct kinds. The most used accounts for 36.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6836.4%
🔥4926.2%
❤‍🔥4121.9%
💯136.95%
😍73.74%
💔42.14%
🥰31.60%
10.535%
🤣10.535%

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 16 of the 16 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 187 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 28 July 2026 to 27 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

27 Aug 2026, 19:43 UTC61 views9 reactionsread 29 August 2026

Друзья из ЛитРес шутят(?): Жизнь - это череда событий, мешающих читать книги

💯7❤‍🔥1🤣1

21 Aug 2026, 18:41 UTC148 views12 reactionsread 29 August 2026
Photo

немного личного...

10❤‍🔥1🔥1

16 Aug 2026, 08:38 UTC201 views13 reactionsread 29 August 2026
Photo

Если Маса сочиняет хокку между делом, то у Цао Сюэциня это целый ритуал. И, словно пребывая в саду Роскошных зрелищ, где юные обитательницы дома Цзя постоянно устраивают соревнования, начинаешь переосмысливать события вокруг. Здесь каждое произведение не просто игра ума, а точный психологический портрет. Вот, например, Линь Дайюй самая поэтичная и ранимая. Ее строки почти всегда о быстротечности красоты, об одиночес

6🔥4❤‍🔥3

15 Aug 2026, 08:14 UTC144 views11 reactionsread 29 August 2026
Photo

https://www.worldofhanszimmer.com

❤‍🔥53🔥3

13 Aug 2026, 12:33 UTC149 views10 reactionsread 29 August 2026
Photo

Первое, что ощущаешь - удар тишины. Это не просто книга, это портал в мир, которого больше не существует. Пальцы скользят по страницам, а с них смотрит вечность: черно-белая, пронзительная, шершавая, как старый камень стамбульской мостовой. Ара Гюлер не снимал свет, а охотился за тьмой, чтобы свет зазвучал громче. В его кадрах тьма густая, осязаемая, почти жидкая, а свет лишь внезапное откровение. Луч солнца падает в

8❤‍🔥1🔥1

12 Aug 2026, 12:22 UTC140 views13 reactionsread 29 August 2026
Forwarded from @CorpusbooksPhoto

⚡️Спешим поделиться новостью — вышла книга Салмана Рушди "Одиннадцатый час" (перевод Любови Трониной). В книге "Одиннадцатый час" Салмана Рушди собраны истории о старении, памяти, смертности и той особой ясности, которая приходит на закате жизни. Вместе с ключевыми темами Рушди – поиском идентичности, силе слова и зыбкой грани между реальностью и воображением – здесь звучит и новая интонация: ощущение конечности вре

5💔4🔥4

11 Aug 2026, 13:21 UTC136 views4 reactionsread 29 August 2026
Forwarded from @memedia226Photo

В Журнале вышла рецензия критика Игоря Кириенкова на книгу о... книге. «„Бледный огонь“ Владимира Набокова: волшебство художественного открытия» Брайана Бойда — своего рода пособие по вдумчивому чтению антиромана Набокова, в котором, помимо прочего, можно различить черты литературоведческого детектива. Не только же про хиханьки и хаханьки говорить. К рецензии! 💡 Небольшой совет от главного редактора для тех, кто

🔥21❤‍🔥1

10 Aug 2026, 15:50 UTC148 views12 reactionsread 29 August 2026
Photo

немного личного...

❤‍🔥5💯4🔥21

8 Aug 2026, 07:32 UTC169 views8 reactionsread 29 August 2026
Photo

Тотальная ложь в повседневной жизни и ее влияние Книги Томаса Эриксона (шведского бизнес-тренера и специалиста по поведенческим типам) объединены одной глобальной темой: как понимать других людей и эффективно с ними общаться. Почти все они строятся вокруг авторской модели, основанной на цветовых психотипах (упрощенная версия системы DISC). Вот основная суть его главных бестселлеров: Главная идея серии Кругом одни…

❤‍🔥3🔥32

7 Aug 2026, 05:06 UTC147 views11 reactionsread 29 August 2026
Photo

До того как я взял в руки “Институт…”, здешнее отношение ко времени вызывало у меня почти физический дискомфорт. Я приехал с Запада, из мира, где опоздание на пять минут уже требует извинений, где график встреч расписан с точностью до минут. Здесь же время словно растягивалось и сжималось по каким-то неведомым мне законам: обещанное сейчас могло означать и десять минут, и час, а наслаждение моментом ценилось выше, че

🔥4❤‍🔥32💯2

6 Aug 2026, 07:31 UTC123 views13 reactionsread 29 August 2026
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Упущенная новинка июня: философское продолжение знаменитой Полуночной библиотеки Представьте: вы прожили долгую жизнь, построили бизнес-империю, достигли успеха. Но после телефонного звонка от бывшей жены, с которой не общались 30 лет, вы падаете на газон. Затем оказываетесь на загадочной станции, где вас ждет роскошный паровой поезд. Именно это происходит с Уилбуром Баддом. Его встречает проводница Агнес Бэгдейл -

6🔥5❤‍🔥2

4 Aug 2026, 16:01 UTC158 views13 reactionsread 29 August 2026
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Пометки в даррелловских рабочих тетрадях выдают магию места. Прототипы, например жена писателя Ева, превращались в фантомную Жюстин именно здесь, на веранде с видом на Киренийский хребет. Утренний свет, резкий и чистый, вымывал из текста бытовой реализм, заменяя его геральдическим символизмом. Живая женщина исчезала, уступая место архетипу города-блудницы, а гул александрийских улиц микшировался с шелестом кипарисов.

❤‍🔥6🔥4🥰3

Showing the 12 most recent of 16 posts we hold for @bravo_book. 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.

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

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

ТеZис
@tethis · 42,025
Telegram ranks this channel #91 of 95 here — alongside 94 others — read 29 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“Bravo Book” (@bravo_book), 377 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/bravo_book.

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.