Хлоя: Ухожу в офлайн/обратно в свою пещеру. Увидимся по ту сторону, ребята.
🤔114❤36❤🔥15☃5🕊4💘2😱2🍓1

Channel
@booksflcns
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
9,887subscribers
+68 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001975400310 |
|---|---|
| Type | Channel |
| Username | @booksflcns |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/booksflcns |
Literature — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 73% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 22:42 | 9,887 | -18 |
| 14 Sept 2026, 03:36 | 9,905 | -9 |
| 10 Sept 2026, 18:38 | 9,914 | +14 |
| 5 Sept 2026, 19:56 | 9,900 | +10 |
| 1 Sept 2026, 14:24 | 9,890 | +12 |
| 29 Aug 2026, 12:18 | 9,878 | +12 |
| 26 Aug 2026, 16:58 | 9,866 | +43 |
| 23 Aug 2026, 12:44 | 9,823 | +4 |
| 20 Aug 2026, 07:03 | 9,819 | +9 |
| 17 Aug 2026, 16:06 | 9,810 | +8 |
| 14 Aug 2026, 09:25 | 9,802 | -15 |
| 10 Aug 2026, 15:41 | 9,817 | -3 |
| 7 Aug 2026, 21:11 | 9,820 | +1 |
| 7 Aug 2026, 09:32 | 9,819 | first reading |
28 posts held, back to 22 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 37 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 23 August 2026 |
|---|---|
| Posts held | 28 (22 July 2026 – 23 August 2026) |
| Views total | 14,210 |
| Reactions total | 925 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 04:51 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.
Measured directly from 5 videos 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.
4,613 reactions across 28 posts, in 15 distinct kinds. The most used accounts for 50.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,343 | 50.8% | |
| ❤🔥 | 711 | 15.4% | |
| 🤔 | 301 | 6.53% | |
| 🍓 | 289 | 6.26% | |
| 😭 | 274 | 5.94% | |
| 💋 | 198 | 4.29% | |
| 💔 | 170 | 3.69% | |
| 😱 | 150 | 3.25% | |
| 💘 | 101 | 2.19% | |
| 🎉 | 48 | 1.04% | |
| 💅 | 11 | 0.238% | |
| 🆒 | 7 | 0.152% | |
| ☃ | 5 | 0.108% | |
| 🕊 | 4 | 0.087% | |
| 🍾 | 1 | 0.022% |
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 28 of the 28 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 4,613 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 22 July 2026 to 23 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.
Хлоя: Ухожу в офлайн/обратно в свою пещеру. Увидимся по ту сторону, ребята.
🤔114❤36❤🔥15☃5🕊4💘2😱2🍓1
Теория о «связывающей части» Напоминаю: всё здесь — это всего лишь теория, основанная на информации и намеках, которые были обнародованы. Это то, что я придумал сам, и это не подтверждено Хлоей. В июне 2025 года Хлоя опубликовала на своей странице в Facebook, что у неё есть интерес переписать свой рассказ Seven Sleepless Nights. После публикации последних книг саги Boys of Tommen она отметила, что рассказы не были н…
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Feeling 12 Сидя у себя в комнате, прислонившись спиной к изголовью кровати и держа в руках гитару, я продолжал наигрывать рифф из Sweet Child O’ Mine группы Guns N’ Roses, прекрасно понимая, что ни одна нота этой песни ни капельки не поможет мне в подготовке к экзамену Junior Cert. К чёрту Улисса, дайте мне Экслa и Fender. *** Она всё понимала наоборот. Я не прятал её. Я прятал себя. Потому что что, если я рискну, с…
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Feeling 12 — Ты краснеешь. — Потому что ты пялишься на меня, как какой-то извращенец. Я подняла руку и… в этот момент до боли остро ощущая свою неловкость. — Это просто волосы. — Не-а, — возразил он, всё ещё улыбаясь. Потушив сигарету, он спрыгнул вниз и мягко приземлился на ноги, словно чёртов кот. — Это нечто большее. Это единственная часть твоего огня, которую ты не можешь скрыть, котёнок.
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Еще одна книга? Хлоя: Извините за задержку со всем этим, ребята. Раньше мозгу пришлось немного перезагрузиться/поднастроиться… таковы радости жизни с биполярным расстройством. Ещё мне показалось, что с порядком выхода что-то не так. Это меня ужасно беспокоило. Что-то просто не давало мне покоя. Поэтому мне пришлось всё исправить, а для этого пришлось написать связующую часть. Не знаю, понятно ли я объясняю. В любом …
🤔137😱49❤45😭10🍓6
Claiming 10 — Кива мертва. — он сократил расстояние между нами. — И я не давал ему этого. — он склонил голову набок, изучая меня. — А значит, остаёшься только ты, малышка. — Это была не я. — О, ещё как ты. — Н-нет, нет, н-нет! — отползая назад, я мотала головой. — Я н-не давала… — Ты д-дала, — выпалил он, насмешливо копируя мою заикающуюся от паники речь. Сократив расстояние между нами, он грубо схватил меня за воло…
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Почему вам стоит присоединиться к нашей команде 💗 ☑️повышение уровня английского языка ☑️работа с любимыми книгами ☑️получение опыта в переводе ☑️сертификат о проделанной работе (при необходимости) ☑️общение и работа в команде
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ГОТОВЫЙ ПЕРЕВОД КНИГА: Горсть стыда. Горсть тебя АВТОР: Хлоя Уолш СЕРИЯ: Горсть #2,3 ✨✨✨ файл находится в боте: @booksflcnss_Bot, на канале его вы не найдете. распространять файлы книг в личных чатах без пересылки запрещено. если делитесь публично, то с отметкой канала переводчиков. приятного чтения!
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ГОТОВЫЙ ПЕРЕВОД КНИГА: Тайный ребенок ДиМарко АВТОР: Хлоя Уолш СЕРИЯ: Тайный ребенок ДиМарко #1,2 ✨✨✨ файл находится в боте: @booksflcnss_Bot, на канале его вы не найдете. распространять файлы книг в личных чатах без пересылки запрещено. если делитесь публично, то с отметкой канала переводчиков. приятного чтения!
❤54❤🔥27🍓10💋7🎉2💘1🆒1
- машина Джонни - Нэнси (Шаннон) - фото от режиссера
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Photo, posted without a caption
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Я немного не понимаю, как фанат этой серии книг, зачем вы поощеряете объективно ущербный каст и перепись сюжета? Вы выкладываете по 20 фоток актеров и делайте видео с ними (подставляя имена персонажей)….это выглядит странно, и нет, мы не должны мириться с тем, что в книге персонаж описанный как голубоглазый ангел с белыми волосами (лиззи) в сериале бкдет кареглазой брюнеткой. Как истинный фанат мальчиков томмена мож…
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Showing the 12 most recent of 28 posts we hold for @booksflcns. 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.
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.
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.
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.
@booksflcns named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“booksflcns | Хлоя Уолш - перевод” (@booksflcns), 9,887 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/booksflcns.
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.