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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 the other topics.
Growth
25 measurements spanning 88 days, net +887. 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 6,919–8,072 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
2 Nov 2026, 14:26
7,939
+14
30 Oct 2026, 23:36
7,925
+12
28 Oct 2026, 06:51
7,913
+27
25 Oct 2026, 13:04
7,886
+29
22 Oct 2026, 16:56
7,857
+42
19 Oct 2026, 12:27
7,815
+42
16 Oct 2026, 09:49
7,773
+37
13 Oct 2026, 03:50
7,736
+126
6 Oct 2026, 17:58
7,610
+149
29 Sept 2026, 11:55
7,461
+141
19 Sept 2026, 12:20
7,320
+59
14 Sept 2026, 15:20
7,261
+18
11 Sept 2026, 07:55
7,243
+40
6 Sept 2026, 08:39
7,203
+15
1 Sept 2026, 14:55
7,188
+12
29 Aug 2026, 13:23
7,176
+10
26 Aug 2026, 15:14
7,166
+20
23 Aug 2026, 11:46
7,146
+35
19 Aug 2026, 13:06
7,111
+11
16 Aug 2026, 16:19
7,100
first reading
Engagement
32 posts held, back to 8 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
41.6%
avg views ÷ 7,939 subscribers
Avg views / post
3,300
15 posts measured
Reaction rate
4.34%
reactions ÷ views · ER floor
Posts in window
15
of 32 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
Window
Rolling 30 days · latest post in window 30 October 2026
Posts held
32 (8 July 2026 – 30 October 2026)
Views total
49,530
Reactions total
2,152
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 23:37 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
Photos
523
Videos
73
Links
206
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
49s
Average length
25s
Measured directly from 2 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.
Reaction mix
4,167 reactions across 32 posts, in 20 distinct kinds. The most used accounts for 21.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
873
21.0%
custom 5794359925429769926
839
20.1%
custom 5422586559855616783
446
10.7%
❤🔥
386
9.26%
😍
323
7.75%
custom 5435862862113319913
272
6.53%
custom 5233654749550647860
231
5.54%
💘
174
4.18%
🍓
138
3.31%
🥰
126
3.02%
😈
114
2.74%
custom 5352976414276628565
100
2.40%
👏
41
0.984%
🤩
35
0.84%
custom 5857176983229699261
28
0.672%
👻
19
0.456%
🎉
13
0.312%
💋
5
0.12%
🕊
3
0.072%
🏆
1
0.024%
Custom emoji. 6 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 are Telegram’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 32 of the 32 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 4,167 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 8 July 2026 to 30 October 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
61
across the posts below
Posts paid on
8
of 32 we hold a reading for · 25%
Most on one post
14
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @escapismbooks. 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 32 most recent posts we hold for this entry, published 8 July 2026 to 30 October 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
Telegram’s own ‘edited’ marker: 0 of 15 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🔥🔥🔥🔥🔥🔥🔥
🔥🔥🔥🔥🔥🔥🔥
«НАПРОЛОМ»
МЭГГИ РОДОН
Серия: «Безмолвные всадники»
Книга 1 из 4
Пара: Рэмси и Хейзел
Все ещё женаты.
Эти два слова меняют все.
Рэмси Стоктон — мой несостоявшийся бывший муж, в прошлом звезда профессионального футбола, а ныне преступник и герой, который много лет назад бросил меня и этот город. Теперь он стоит на моём пороге и предлагает сделку с дьяволом.
Если я позволю ему остаться и на девяност…
Mila Kane
🌟. 🌟
🌟🌟
🌟 COLE
Коул 🌟
🌟🌟
Изабель.
Целую неделю я пытался выбросить её из головы — и вот она здесь. Стоит на залитой кровью земле, перепуганная, с пистолетом у виска. Я знал, что эта картина врежется мне в память на всю жизнь.Мышцы напряглись до предела. Я загнал тревогу та…
Моя будущая жена. От одной этой мысли у меня словно пылает мозг. Она… невыносимая, да, но при этом настолько умна, что все мои нервы натягиваются до предела. А осознание того, что именно её называют Веном? Это меняет всё.
Несколько лет назад произошло несколько смертей, которые, судя по всему, были вызваны сердечной недостаточностью. На первый взгляд, самые обычные случаи, но родственники одного из умерших настояли …
❌
❌💚ГОТОВЫЙ ПЕРЕВОД💚❌
АВТОР: Т.Л. Смит
СЕРИЯ: Ядовитые
КНИГА #4: Ядовитые игры
🟢книга 1: Ядовитый поцелуй
🟢книга 2: Ядовитое влечение
🟢книга 3: Ядовитый обман
🤩🤩🤩🤩🤩
🌀детектив х наемная убийца
🌀тайное общество
🌀от врагов до супругов
🌀противоположности притягиваются
🌀тайная личность
🌀тронь его и ты ☠️
ВАЖНО! Данный перевод выполнен исключительно как фанатский проект!
Все авторские права на оригиналь…
❌ ❤️
❌ 🎀ila 🎀ane
2️⃣0️⃣2️⃣7️⃣
🖤🖤🖤
В этом году мы опубликовали
три книги Милочки:
❤️Жестокое наследие
❤️Свирепая одержимость
❤️Коул
На этом пока всё! Все книги автора, вышедшие в 2026 году, уже переведены нашей командой.
В 2027 году ждём:
1️⃣Shattered Oaths (16.02.27)
Серия о новой мафиозной семье Фальконе, жгг — Люси Бёрк, се…
🎨🎨🎨Это было шикарно,
🎨🎨🎨обожаю Кейн!
🎨🎨🎨Мужчина 10000∞/10,
🎨🎨🎨ох нууу какой… я влюбився 🎨+ это первая прочитанная книга за долгое время вне переводов.
Спасибо любимым @escapismbooks
за перевод 🎨
🎨🎨🎨🎨🎨🎨🎨🎨 BS
🎨🎨🎨🎨🎨🎨🎨🎨
💜Мысль, что эта женщина даже не рассматривала меня как возможного партнёра, бесила. Из-за этого я хотел доказать, что она ошибается, а это была плохая идея.
Очень плохая.💜
Коул 🏍 🧳 Мила Кейн
🖤 читать
#байкеры #цитата
❌
❌ 💛ГОТОВЫЙ ПЕРЕВОД💛
АВТОР: Мила Кейн
СЕРИЯ: МК «Гончие Харбора»
КНИГА #1: Коул
🤩🤩🤩🤩🤩
🌟мотоклуб
🌟маленький городок
🌟разница в возрасте (ей 21, ему 32)
🌟плохой парень х хорошая девочка
🌟оберегающий мгг
ВАЖНО! Данный перевод выполнен исключительно как фанатский проект!
Все авторские права на оригинальный текст принадлежат его законному правообладателю. Мы не претендуем на авторство оригинального про…
Showing the 12 most recent of 32 posts we hold for @escapismbooks. 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 18 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.
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.
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.
♡ книжный шкаф ♡ @lilybookcase · 32,179 Telegram ranks this channel #33 of 57 here — alongside 56 others — read 6 September 2026
𝙍𝙀𝘼𝘿𝙎 💞 𝙃𝙐𝘽 @Reads_Hub · 19,216 Telegram ranks this channel #40 of 46 here — alongside 45 others — read 5 October 2026
𝐎𝐧𝐥𝐲 𝐛𝐨𝐨𝐤𝐬. @bbookf · 19,850 Telegram ranks this channel #43 of 62 here — alongside 61 others — read 29 September 2026
dramabooks @dreambooksssss · 23,271 Telegram ranks this channel #49 of 54 here — alongside 53 others — read 19 September 2026
storbookss @storbookss · 12 Telegram ranks this channel #52 of 53 here — alongside 52 others — read 1 October 2026
𝒓𝒊𝒏𝒂.𝒃𝒐𝒐𝒌𝒔 💚 @hinabooks · 46 Telegram ranks this channel #52 of 57 here — alongside 56 others — read 8 September 2026
cmolerwbook @cmolerwbookk · 57,322 Telegram ranks this channel #54 of 58 here — alongside 57 others — read 28 August 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists 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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“𝗘𝘀𝗰𝗮𝗽𝗶𝘀𝗺.” (@escapismbooks), 7,939 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/escapismbooks.
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.