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 97% 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
33 measurements spanning 41 days, net -1,649. 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 16,259–18,521 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:16
16,520
-9
15 Sept 2026, 22:37
16,529
-10
14 Sept 2026, 04:18
16,539
-6
12 Sept 2026, 14:38
16,545
-15
10 Sept 2026, 12:01
16,560
-7
7 Sept 2026, 05:42
16,567
-2
4 Sept 2026, 12:02
16,569
+7
2 Sept 2026, 22:54
16,562
-10
1 Sept 2026, 19:03
16,572
-6
31 Aug 2026, 20:54
16,578
-2
31 Aug 2026, 00:24
16,580
-2
30 Aug 2026, 03:47
16,582
+15
29 Aug 2026, 04:53
16,567
+7
28 Aug 2026, 05:54
16,560
-10
27 Aug 2026, 03:27
16,570
-5
26 Aug 2026, 00:41
16,575
+11
25 Aug 2026, 04:02
16,564
+9
24 Aug 2026, 00:46
16,555
+13
22 Aug 2026, 05:36
16,542
-1,718
20 Aug 2026, 20:25
18,260
first reading
Engagement
102 posts held, back to 1 August 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.4%
avg views ÷ 16,520 subscribers
Avg views / post
2,050
35 posts measured
Reaction rate
12.2%
reactions ÷ views · ER floor
Posts in window
36
of 102 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 2 September 2026
Posts held
102 (1 August 2026 – 2 September 2026)
Views total
71,600
Reactions total
8,719
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:49 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
6m 04s
Average length
40s
Measured directly from 9 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
27,475 reactions across 101 posts, in 17 distinct kinds. The most used accounts for 55.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
15,139
55.1%
custom 5240112606542321419
2,761
10.0%
❤🔥
2,547
9.27%
custom 5260483129621095245
2,282
8.31%
custom 5395492785165988974
1,378
5.02%
🔥
920
3.35%
🥰
709
2.58%
custom 5334905459637774224
702
2.56%
😁
572
2.08%
💔
203
0.739%
👀
84
0.306%
⚡
47
0.171%
😈
40
0.146%
👍
37
0.135%
💋
31
0.113%
😭
19
0.069%
🤝
4
0.015%
Custom emoji. 4 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 101 of the 102 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 27,475 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 102 most recent posts we hold, published 1 August 2026 to 2 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
65
across the posts below
Posts paid on
38
of 101 we hold a reading for · 38%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @books_ukrainiann. 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 102 most recent posts we hold for this entry, published 1 August 2026 to 2 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.
— Сьогодні ввечері немає вартових, які мали б заважати мені втекти.
Блейк сів на край ліжка поруч зі мною. Це нагадало мені перший раз, коли я прокинулася в цій кімнаті.
Очі знову заплющувалися, але я билася зі сном, намагаючись не заснути.
Ще одне важке зітхання Блейка, перш ніж він вимовив тихо й непорушно:
— Це ніколи не було заради цього. Це було для того, щоб тримати тебе в безпеці.
Його слова не мали жодного се…
Дівчата, здається, у нас з’явився ще один спосіб закохуватися у вигаданих чоловіків 😅❤️
Нещодавно запустився Love Choice — український проєкт з інтерактивними романтичними історіями.
Тут ви не просто читаєте сюжет — у ключові моменти самі вирішуєте, що відповісти, кому довіритися і як вчинити далі.
І, звісно, є ті самі вибори, після яких сидиш і думаєш:
«Так… а я точно правильно натиснула?» 👀
Проєкт тільки старту…
— Ти збираєшся мене поцілувати чи як, Легро?
Я посміхаюся, притиснувшись до її губ, і знизую плечима. — Не знаю. Мені подобається це відкладене задоволення…
Мерріт притискає свої губи до моїх, перебиваючи мої слова поцілунком. Її руки ковзають вгору по моїх грудях і огинають мою шию, де її пальці заплутуються в моєму волоссі й стискають його, доки я не застогну.
На смак вона нагадує те, що пекла весь день — щось із к…
Флешем пройшлася по всіх і вся!!!!
Вітаю новеньких в архіві, будьте чемні 🥰
Нове посилання в ту саму дату, проявляйте актив, читайте книги які в доступі. Всім цьом 💋
Спокійної ночі 🦋
— Дай мені будь-який наказ. Покарай мене. Звели мені благати як собаці або лизати землю, по якій ти ходиш, і це буде виконано. Що завгодно.
Серія Фрагменти Грімм, Книга 1
Кров Найпрекраснішої - Морган Б. Лі
❤️❤❤️❤❤️❤❤
❤❤️❤❤️❤❤❤️❤️
🇺🇦 Кров найпрекраснішої
🇺🇸 Blood of the Fairest
Серія: Фрагменти Грім
Книга 1
Морган Б. Лі
КНИГА З ОВЕРЛЕЯМИ 🌟
Переклад BOOKS_UA від Чарівниці Тeti ❤️
Анотація:
Прокинутися в тілі іншої людини в іншому вимірі — це вже само по собі жахливо. Але коли ця людина знається на темних мистецтвах, колекціонує чоловіків як трофеї, снідає отруєними яблуками та п'є кров невинних …
Готові до нової похмурої казки? 🍎
Незабаром вас очікує переклад першої частини серії «Фрагменти Грімм» від Морган Б. Лі — «Кров найпрекраснішої» 🖤
Всі найсмачніші тропи ви знайдете на арті, а от із тригерами краще ознайомитися заздалегідь:
🔮 Згадки про сучасну поп-культуру у фентезійному світі
🍷 Вживання алкоголю
🫦 Афродизіачні укуси/харчування
🗡️ Спроба вбивства
🩸 Вживання крові та ігри з кров’ю
🎭 Неочікуваний пов…
Books_UA📚 pinned «Посилання на архів замовляли? 🥴 АРХІВ Встигни подати заявку, посилання дійсне до 22:00 - 1 ВЕРЕСНЯ !!! Наступне через місяць 🌑 Нагадую, всі заявки перевіряються, після закінчення дії посилання. Коли перевіримо сповістимо в чаті, а ті кого додадуть і так…»
Посилання на архів замовляли? 🥴
АРХІВ
Встигни подати заявку, посилання дійсне до 22:00 - 1 ВЕРЕСНЯ !!!
Наступне через місяць 🌑
Нагадую, всі заявки перевіряються, після закінчення дії посилання. Коли перевіримо сповістимо в чаті, а ті кого додадуть і так побачать🔥
🦇 Час для інтерактиву! Це або Те? 🖤
Дуже скоро ми поринемо у темний та захоплюючий світ «Крові найпрекраснішої» Морган Б. Лі. ❤️🔥
Ця історія має дві дуже різні грані.
Яку сторону ви оберете?🤍🖤
☀️Світла сторона (але чи така вона світла?)
⛈️ Темна сторона (де небезпека таємнича)
Подивіться уважно на зображення. Як ви думаєте, що переважатиме в книзі? Які три тропи з обох боків ви б хотіли бачити найбільше?🌚
Пишіт…
Він спостерігає за мною весь час, поки я всуваю виделку в рот, обхоплюю губами зубці й витягую.
— Так, крихітко, саме так. — Він киває головою на знак схвалення.
Я ледь не вдавилася пирогом.
Я прикриваю рот і жую. Він задоволений як ніколи. Як тільки я ковтаю, він запитує: — Як смакували мої губи?
— Солоні, — відповідаю я. — І трохи як сміття.
Його обличчя знічується.
— Гаразд, я зрозумів. — Він забирає у мене виделк…
Showing the 12 most recent of 102 posts we hold for @books_ukrainiann. 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.
Posts edited after publishing
@books_ukrainiann edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
16 August 2026
Most recent edit
20 August 2026
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 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.
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.
Аудіокниги українською @abookua · 54,827 Telegram ranks this channel #18 of 73 here — alongside 72 others — read 26 August 2026
Аудіокниги Українською @ArchivesOfAbookua · 48,980 Telegram ranks this channel #22 of 71 here — alongside 70 others — read 26 August 2026
АудіоКниги Українською @audiobookksua · 71,717 Telegram ranks this channel #37 of 79 here — alongside 78 others — read 26 August 2026
This channel appears in 3 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Books_UA📚” (@books_ukrainiann), 16,520 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/books_ukrainiann.
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.