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 9 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
28 measurements spanning 33 days, net -289. 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 35,211–35,586 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
8 Sept 2026, 09:19
35,254
-4
5 Sept 2026, 00:36
35,258
-6
3 Sept 2026, 04:29
35,264
-30
1 Sept 2026, 22:34
35,294
-13
31 Aug 2026, 19:36
35,307
-7
30 Aug 2026, 17:43
35,314
-12
29 Aug 2026, 17:14
35,326
-11
28 Aug 2026, 17:38
35,337
-14
27 Aug 2026, 19:53
35,351
-11
26 Aug 2026, 18:54
35,362
-3
25 Aug 2026, 19:34
35,365
-12
24 Aug 2026, 21:37
35,377
-31
23 Aug 2026, 06:16
35,408
-5
21 Aug 2026, 15:45
35,413
-15
20 Aug 2026, 11:52
35,428
-9
19 Aug 2026, 15:17
35,437
-4
18 Aug 2026, 17:53
35,441
-15
17 Aug 2026, 15:08
35,456
+4
16 Aug 2026, 08:43
35,452
-9
14 Aug 2026, 23:08
35,461
first reading
Engagement
125 posts held, back to 31 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 93 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.75%
avg views ÷ 35,254 subscribers
Avg views / post
3,090
93 posts measured
Reaction rate
1.29%
reactions ÷ views · ER floor
Posts in window
93
of 125 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 9 September 2026
Posts held
125 (31 July 2026 – 9 September 2026)
Views total
286,920
Reactions total
3,700
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Sept 2026, 00:46 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
≈1,600
Videos
≈16
Links
≈3,870
Lifetime counters from Telegram’s own channel header, read 10 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Reaction mix
5,063 reactions across 125 posts, in 28 distinct kinds. The most used accounts for 48.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,441
48.2%
👍
1,533
30.3%
💯
549
10.8%
🔥
209
4.13%
👌
140
2.77%
❤🔥
76
1.50%
😁
19
0.375%
👏
12
0.237%
🤔
12
0.237%
🙏
10
0.198%
💔
9
0.178%
🙊
8
0.158%
🤩
7
0.138%
🎃
5
0.099%
😘
5
0.099%
🤪
5
0.099%
🥰
4
0.079%
🎉
3
0.059%
⚡
2
0.04%
✍
2
0.04%
8 further kinds
12
0.237%
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 125 of the 125 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 5,063 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 125 most recent posts we hold, published 31 July 2026 to 9 September 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
2
across the posts below
Posts paid on
2
of 125 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @booksua11. 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 125 most recent posts we hold for this entry, published 31 July 2026 to 9 September 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.
Останнім часом я тільки й робила, що трималася з останніх сил і прикидалася, ніби все під контролем. Але сьогодні відчуваю: все, межа. Ресурс на нулі, повне вигорання. 💔
Чесно кажучи, мені дуже соромно зізнаватися, але я більше просто не витягую цей проєкт сама — ні морально, ні фінансово. Перша думка була просто все видалити, вимкнути телефон і забути про все це. Але мені неймовірно боляче ось так просто перекресли…
📚Іспанський Любовний Обман
👤Автор: #Елена_Армас
🎭Жанр: #Зарубіжна #Роман #Проза
📖Анотація: Останній час Каталіна була не в гуморі через те, що розійшлася зі своїм хлопцем. Це стало проблемою, адже вона була запрошена з парою на весілля й їй було потрібно швидко знайти собі того, хто погодився разом з нею поїхати в якості підставного бойфренда. На розпач дівчини, погодився лише Аарон Блекфорд, що був її давнім зна…
📚Гіпотеза кохання
👤Автор: #Елі_Хейзелвуд
🎭Жанр: #Зарубіжна #Роман
📖Анотація: Олів Сміт — студентка-біолог, яка не вірить у кохання. Намагаючись переконати свою найкращу подругу в тому, що має стосунки, Олів у паніці цілує першого чоловіка, що трапився їй на очі. Ним виявляється Адам Карлсен – молодий і симпатичний професор, а також відомий серцеїд. На превеликий подив Олів, з якоїсь причини Адам вирішує підіграти…
Останнім часом я тільки й робила, що трималася з останніх сил і прикидалася, ніби все під контролем. Але сьогодні відчуваю: все, межа. Ресурс на нулі, повне вигорання. 💔
Чесно кажучи, мені дуже соромно зізнаватися, але я більше просто не витягую цей проєкт сама — ні морально, ні фінансово. Перша думка була просто все видалити, вимкнути телефон і забути про все це. Але мені неймовірно боляче ось так просто перекресли…
📚Після тебе
👤Автор: #Джоджо_Мойєс
🎭Жанр: #Зарубіжна #Роман #Сучасна
📖Анотація: Роман “Після тебе” є продовженням першої частини циклу “До зустрічі з тобою” з однойменною назвою.
Дівчина повертається додому і відкриває нову сторінку свого життя. Випадково вона потрапляє до групи психологічної підтримки і відчуває, що саме там може вилікувати поранене серце. Серед нових знайомих Лу зустрічає Сема Філдинга – лікаря,…
Відстань — страшна річ. Вона — майстриня ще та: здатна зруйнувати те, що здається вічним, але й в змозі побудувати таке, без чого з часом неможливо жити.
🖋Ольга Панькевич "Причина моєї самотності"
Книги Українською🇺🇦
📚Я (РОМАНТИКА)
👤Автор: #Микола_Хвильовий
🎭Жанр: #Українська #Класика
📖Анотація: Ця невелика новела дуже «доросла», тому що піднімає важку тему деградації людини на фоні політичних подій, що відбувались в країні під час революції та після.
Якщо ти морально сильна людина – середовище не впливає на тебе. Коли слабка – будеш роздвоєним, розірваним між тим, хто ти є, і тим, до чого треба пристосовуватися. Тяжкий вибір…
📚Сила звички. Чому ми діємо так, а не інакше в житті та бізнесі
👤Автор: #Чарлз_Дахіґґ
🎭Жанр: #Зарубіжна #Саморозвиток
📖Анотація: Чи замислювалися ви коли-небудь над тим, як звички впливають на наше життя, перетворюють та керують ним? У книзі «Сила звички» ви не тільки знайдете детальну відповідь на це питання, а й побачите безліч науково підтверджених відкриттів щодо керування підсвідомістю людей, які використову…
📚Психологія сексуальності
👤Автор: #Зигмунд_Фройд
🎭Жанр: #Зарубіжна #Психологічна
📖Анотація: У цій монографії Фройд виклав основні положення своєї теорії. Він розкриває поняття едипового комплексу, описує стадії психосексуального розвитку та характеризує модель психіки, в якій ключову позицію відводить підсвідомості. Особливу увагу психоаналітик звертає на дитячий вік – саме в ньому формується психосексуальна пози…
📚Смерть на Нілі
👤Автор: #Аґата_Крісті
🎭Жанр: #Зарубіжна #Детектив
📖Анотація: Ліннет Дойл звертається по допомогу до відомого детектива Еркюля Пуаро, та просить його допомогти вирішити питання з колишньою подругою, яка переслідує їх. Дізнавшись історію, він відмовляється братися за справу. Але не дивлячись на небезпеку, Ліннет з чоловіком все одно вирушають у весільну подорож на пароплаві. Якимось дивним чином там…
❤17🔥4❤🔥3👌2🤩1
Showing the 12 most recent of 125 posts we hold for @booksua11. 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
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 2 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Книги | Література | Саморозвиток Українською @librarybooksua · 32,924#1
Read from Telegram’s recommendation API, most recently 2 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Книги | Література | Саморозвиток Українською @librarybooksua · 32,924 Telegram ranks this channel #1 of 56 here — alongside 55 others — read 4 September 2026
АудіоКниги Українською @audiobookksua · 71,958 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 26 August 2026
Аудіокниги українською @abookua · 55,018 Telegram ranks this channel #3 of 73 here — alongside 72 others — read 26 August 2026
Аудіокниги Українською📖 @audibookukr · 43,037 Telegram ranks this channel #4 of 67 here — alongside 66 others — read 28 August 2026
Аудіокниги Українською @ArchivesOfAbookua · 48,933 Telegram ranks this channel #4 of 71 here — alongside 70 others — read 26 August 2026
Просто та Смачно @smachno_prosto · 41,620 Telegram ranks this channel #13 of 64 here — alongside 63 others — read 7 September 2026
Книги українською 📚 Бібліотека • Аудіокниги @knizhkyua · 46,170 Telegram ranks this channel #15 of 73 here — alongside 72 others — read 27 August 2026
Балакаємо українською MovaSpark @speakinua · 30,702 Telegram ranks this channel #24 of 70 here — alongside 69 others — read 6 September 2026
This channel appears in 8 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 8 September 2026 — this
entry's latest reading, not the date you are reading this.
“Книги Українською” (@booksua11), 35,254 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/booksua11.
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.