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Channel

book siren🧜🏻‍♀️📚 | книжная сирена

@booksofff

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

2,339subscribers

-17 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-1002153750361
TypeChannel
Username@booksofff
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/booksofff

Growth

2,3392,3562,347.57 August 2026 — 2,356 subscribers8 August 2026 — 2,356 subscribers11 August 2026 — 2,351 subscribers14 August 2026 — 2,346 subscribers17 August 2026 — 2,339 subscribers7 August 202617 August 2026
5 measurements spanning 10 days, net -17. 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 2,336–2,359 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 23:232,339-7
14 Aug 2026, 21:492,346-5
11 Aug 2026, 14:422,351-5
8 Aug 2026, 08:242,356no change
7 Aug 2026, 16:022,356first reading

Engagement

10 posts held, back to 31 March 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
10.2%
avg views ÷ 2,339 subscribers
Avg views / post
238
4 posts measured
Reaction rate
19.7%
reactions ÷ views · ER floor
Posts in window
4
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 4 August 2026
Posts held10 (31 March 20264 August 2026)
Views total950
Reactions total187
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:02 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
39s
Average length
39s

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

570 reactions across 10 posts, in 12 distinct kinds. The most used accounts for 30.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥17630.9%
15126.5%
💋10117.7%
💘8414.7%
🍓284.91%
🔥203.51%
20.351%
🆒20.351%
😁20.351%
🦄20.351%
👍10.175%
💅10.175%

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 570reactions 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 31 March 2026 to 4 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @booksofff. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 10 most recent posts we hold for this entry, published 31 March 2026 to 4 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

4 Aug 2026, 17:57 UTC155 views44 reactionsread 7 August 2026
Photo

твое сердце будет разбито - везде!! сейчас я нахожусь в Абхазии, и гуляя здесь увидела объявление: кино у моря будет показывать экранизацию книги Анны Джейн!! моему удивлению не было предела, увидеть здесь книгу, с которой начался мой читательский путь 🥹 я очень рада тому, что этот фильм продвигается и в других странах, ведь мне он понравился!! (ну и просто как шутка, фильм который будут показывать после тсбр это

❤‍🔥18💋12💘922🍓1

Signed sofiyhka

2 Aug 2026, 17:57 UTC185 views41 reactionsread 7 August 2026
Photo

всем привет! я вернулась из Москвы, где дочитала «Спойлер» от Авы Хоуп 💜 мне понравилось, напишите, если нужен отзыв - выложу)) а сейчас улетели в Абхазию!! по пути прочитала книгу Агаты Кристи «Черный кофе», прям очень понравилось!! тут по своему желанию выложу вам отзыв 🖤 и сегодня дочитала ещё одну книгу, расскажу о ней в посте завтра, пусть будет сюрприз)) спойлер: это было афигенно!! 🩷🍦 ||как у вас дела? отд

❤‍🔥14💋9💘96🍓2🔥1

Signed sofiyhka

21 Jul 2026, 16:20 UTC318 views53 reactionsread 7 August 2026
Video

🕺 dance с 4 лет я занималась танцами в «TODES» - это был смысл моей жизни! спустя 8 лет я ушла, из-за огромной нагрузки.. и вот в марте этого года я вернулась на танцы 🥹 к другому тренеру и направлению джаз фанк! я безумно люблю танцевать!! 🫶🏻 танцы мне очень важны, я получаю огромный спектр эмоций - танцуя! если кому-то интересно, можете посмотреть видео 🥹 напишите потом, как вам! *в песнях присутствует нецензу

16💋15❤‍🔥12💘8🍓1👍1

Signed sofiyhka

20 Jul 2026, 13:38 UTC292 views49 reactions1 Starread 7 August 2026
Photo

всем приветик! скучали?) я - очень 🥹 пропала с канала, сама даже не знаю, как так произошло 🙈 за это время много чего случилось - но об этом завтра)) вчера спустя долгое количество времени, я купила себе новую книгу!! «Спойлер» Авы Хоуп 💜 кто хорошо следит за моим каналом, знают что я очень люблю Аву, и не смогла пройти мимо её новинки :) сейчас я на пути в Москву и как раз это время читаю! прочитала уже около

❤‍🔥2012🍓10💋5💘1🔥1

Signed sofiyhka

19 Apr 2026, 14:45 UTC834 views70 reactionsread 7 August 2026

🤩я готова читать ваши книги просто с милыми взаимоотношениями)) какая ваша любимая цитата из ваших книг?) 🤩Наверное: не завидуйте, жить станет легче) 🤩в точку! какие книги вы предпочитаете для своего чтения?) может какие-нибудь книги авторов-друзей?) 🤩Сейчас я очень мало читаю, но когда удается, то всегда беру либо что-то легкое, либо новинки своих коллег. Очень люблю книги Селины Аллен, Мари Милас и Лины Винчестер 🤩

❤‍🔥28💋17💘138🍓4

Signed sofiyhka

19 Apr 2026, 14:45 UTC637 views45 reactionsread 7 August 2026
Photo

🤩🤩🤩🤩🤩🤩🤩🤩 с Авой Хоуп 😍 🤩Ава, привет! для начала, расскажите, пожалуйста, немного о себе) 🤩Привет! Я Ава Хоуп, пишу смешные книжки про любовь и спортсменов) 🤩как начался ваш писательский и читательский путь? 🤩Читать я начала очень давно, еще в детстве. А именно влюбилась в чтение с книги «Сумерки» Стефани Майер в 2007 году. Поэтому в каждой из моих книг есть отсылка к Эдварду. Писать же книги я никогда не планировала

❤‍🔥17💘12🍓76💋3

Signed sofiyhka

18 Apr 2026, 17:37 UTC457 views56 reactionsread 7 August 2026
Photo

уже завтра - самое долгожданное интервью на этом канале!! я предложила его автору в феврале 2025 года, и только сейчас в ряду неких обстоятельств, у меня появился материал для него 🥹 считаю, что это только сделает его легендарнее!! учитывая, что это один из моих самых любимых и авто покупаемых 💘 ||ждите завтра и пишите догадки в комментариях!!

25❤‍🔥14💘13💋4

Signed sofiyhka

18 Apr 2026, 12:09 UTC402 views34 reactionsread 7 August 2026
Forwarded from @likebook_yaPhoto

Любовный треугольник, первые чувства и страсти по-итальянски в новинке Вероны Виеры «Мой Рим» – А что, если я вижу только тебя? – Значит, у тебя что-то со зрением! Вероника учится в выпускном классе. Она мечтает выбраться из маленького городка России и перебраться в солнечную Италию. Всё идет по плану, пока из Москвы не возвращается Роман, в которого Вероника была влюблена с самого детства. Роман, Рома, Рим – она не

❤‍🔥1511💋6🍓1💘1

Signed sofiyhka

5 Apr 2026, 12:42 UTC624 views100 reactionsread 7 August 2026
Photo

пришла на тсбр в 3 раз ✌🏻 в этот раз смотрим с мамой) надеюсь, ей понравится! вы уже посмотрели?

52💋18🔥18❤‍🔥3💘3😁2🆒2🍓1

Signed sofiyhka

31 Mar 2026, 18:44 UTC803 views78 reactionsread 7 August 2026
Photo

завтра второй раз иду на тсбр 🥹 да, мне прям так понравилось! •если боитесь потеряться, подписывайтесь на тик ток 🫶🏻

❤‍🔥35💘1513💋12🍓1💅1🦄1

Signed sofiyhka

Showing the 10 most recent of 10 posts we hold for @booksofff. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

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

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.

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

“book siren🧜🏻‍♀️📚 | книжная сирена” (@booksofff), 2,339 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/booksofff.

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.