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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Growth
32 measurements spanning 41 days, net +322. 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 17,820–18,238 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:01
18,190
+11
15 Sept 2026, 21:20
18,179
-4
14 Sept 2026, 06:39
18,183
+5
12 Sept 2026, 14:59
18,178
-2
10 Sept 2026, 16:41
18,180
+3
7 Sept 2026, 15:37
18,177
-2
4 Sept 2026, 18:15
18,179
+4
3 Sept 2026, 01:38
18,175
-4
1 Sept 2026, 23:35
18,179
-1
1 Sept 2026, 00:56
18,180
+1
31 Aug 2026, 02:54
18,179
+1
30 Aug 2026, 04:45
18,178
-8
29 Aug 2026, 01:42
18,186
-1
28 Aug 2026, 01:58
18,187
+6
27 Aug 2026, 00:35
18,181
-1
26 Aug 2026, 03:23
18,182
+1
25 Aug 2026, 00:44
18,181
+23
23 Aug 2026, 13:02
18,158
+20
21 Aug 2026, 23:56
18,138
+40
20 Aug 2026, 19:01
18,098
first reading
Engagement
42 posts held, back to 19 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.0%
avg views ÷ 18,190 subscribers
Avg views / post
2,000
7 posts measured
Reaction rate
0.931%
reactions ÷ views · ER floor
Posts in window
7
of 42 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 25 August 2026
Posts held
42 (19 July 2026 – 25 August 2026)
Views total
13,970
Reactions total
130
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 08:55 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
1,795 reactions across 40 posts, in 8 distinct kinds. The most used accounts for 54.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
970
54.0%
❤🔥
410
22.8%
💘
131
7.30%
🔥
116
6.46%
⚡
109
6.07%
🍓
46
2.56%
😍
10
0.557%
💋
3
0.167%
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 42 of the 42 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 1,795 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 19 July 2026 to 25 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.
Жестокие договоренности
«Извращенная преданность» ❸
Лилит Винсент
🩶🔗📓
Он ждал пять лет, чтобы вернуться к ней домой. Она провела эти пять лет в молитвах, чтобы он никогда не возвращался.
Кристиано Монтони полз бы по битому стеклу ради одного моего прикосновения, одного поцелуя, одного сладкого слова.
🌟 LittleBookWhores
Здравствуйте. Можете посоветовать романы где мгг похож на мгг книг Л.Дж.Шэн. Прямолинейные , безразличные мудаки, недовольные всеми кроме жгг, которые обращаются с ней как с богиней.
Помогите найти книгу 🥺 Главный герой — брат парня главной героини, которого убили. После этого она жила у главного героя. Он каждую ночь приходил к ней, пока она спала, а она во сне его обнимала и не знала, что он к ней приходит.
Может кто нибудь знает книги,где мгг с первого взгляда становится одержим.Он с ней добрый и ласковый и плохого слово не скажет.Знаю что клише,но как будто все такое уже прочитала
Ищу книгу. Главная героиня имеет проблеми из сердцем после родов. Родила тайного ребенка. Главный герой узнает о ребенке в саду когда девушку попала у реанимацию
Привет, девочки, не знаю может знаете про такие книги, но хотелось бы узнать про троп где девушка сталкерит парня, влюбляется первой и одержима им. Сама она из бедной семьи, студентка. Ну или что-то похожее.
Сделка с дьяволом
«Никто не должен знать» ⓿.❺
Карин Харт
🩶🔗📓
Анджела
Я люблю цветы. Быть ботаником всегда было моей мечтой, но жизнь вмешалась - и теперь я работаю в цветочном магазине рядом со своей паршивой квартиркой.
И это уже что-то, правда?
🌟 MidnightBooks
👻 🌊Коконат-Бич🌊
1️⃣«Просто ещё один летний побег»
Эрин Бренском
2️⃣«Просто ещё один летний враг»
Ариэль Хендрикс
3️⃣«Просто ещё один летний роман»
Дж. С. Купер
4️⃣«Просто ещё одна летняя влюбленность»
Лира Пэриш
🩶🔗📓
Серия про разных героев
🌟 oborotny & goodgirls & lenam
«Навеки его»
Дженика Сноу
🩶🔗📓
Лайла Шоу возвращается в самое сердце пыльного Рутстаун-Крик, чтобы разобраться с унаследованным ранчо, которое ей никогда не было нужно, и наконец оставить прошлое позади.
🌟 darkbydream
«Просто еще один летний роман»
Дж. С. Купер
🩶🔗📓
«Вы приглашены на свадьбу этого лета. Надеемся, что вы сможете к нам присоединиться. Миа, очень жаль, что у тебя нет пары».
Именно с этого грубого приглашения от Рекса, моей детской влюбленности, все пошло совершенно не по плану.
🌟 good_girls_book
💘21❤15❤🔥9⚡3💋1🔥1
Showing the 12 most recent of 42 posts we hold for @book_k_s. 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.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“𝕓𝕠𝕠𝕜_𝚔_𝕤” (@book_k_s), 18,190 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/book_k_s.
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.