Telegram RegisterThe public register of Telegram

Channel

Видавництво Фабула

@fabulabook

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,305subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001130669293
TypeChannel
Username@fabulabook
DescriptionВидавництво, що прагне відкрити читачам нові імена і нові сторінки світової та української літератури.
CreatedBetween 1 June 2017 and 31 August 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 12 August 2026
On Telegramt.me/fabulabook

Growth

6,3056,3066,305.56 August 2026 — 6,306 subscribers6 August 2026 — 6,306 subscribers9 August 2026 — 6,305 subscribers6 August 20269 August 2026
3 measurements spanning 3 days, net -1. 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 6,305–6,306 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 02:016,305-1
6 Aug 2026, 06:156,306no change
6 Aug 2026, 06:086,306first reading

Engagement

9 posts held, back to 30 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
50.7%
avg views ÷ 6,305 subscribers
Avg views / post
3,200
9 posts measured
Reaction rate
2.19%
reactions ÷ views · ER floor
Posts in window
9
of 9 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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held9 (30 July 20267 August 2026)
Views total28,790
Reactions total631
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:18 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
1,030
Videos
166
Links
1,710

Lifetime counters from Telegram’s own channel header, read 12 August 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

536 reactions across 6 posts, in 6 distinct kinds. The most used accounts for 54.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29454.9%
😢16330.4%
🙏397.28%
😭346.34%
🥰40.746%
👍20.373%

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 9 of the 9 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 631reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 30 July 2026 to 7 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.

Recent posts

7 Aug 2026, 13:25 UTC≈1,860 views84 reactionsread 12 August 2026
Photo

Ми вже чекаємо на вас на нашому стенді на BestsellerFest у Львові! Ми привезли значно менше книжок, ніж планували( Також привезли й обгорілі примірники зі складу, який 1 серпня знищив російський обстріл. Це книжки, які ніколи не мали б виглядати так 💔 росія намагається знищити українську культуру. Але ми продовжуємо працювати. Тож приходьте на наш стенд. Кожна придбана книжка сьогодні — це внесок у наше відновленн

73🙏7🥰4

5 Aug 2026, 09:01 UTC≈1,300 views61 reactionsread 12 August 2026

​​Сьогоднішня ніч знову стала жахливим випробуванням для України. Щиро співчуваємо всім, хто постраждав від російської атаки, рідним і близьким загиблих. Попри все, ми намагаємося продовжувати працювати. Нам вдалося зібрати небагато книжок, тож 8–9 серпня ми будемо на BestsellerFest у Львові. Запрошуємо вас завітати на наш стенд. На жаль, ми не зможемо відновити весь асортимент — це понад 200 тайтлів, тому радимо з

48🙏11👍2

4 Aug 2026, 15:01 UTC≈1,350 views51 reactionsread 12 August 2026
Photo

Сьогодні ми й далі підраховуємо збитки після атаки російських дронів. Також визначаємо, які книжки насамперед відправимо в додрук.Бачимо, що у вас багато запитань щодо асортименту. Щойно матимемо точну інформацію, одразу поділимося нею тут. Ми зібрали в одному дописі книжки, які можна передзамовити. Кожне передзамовлення зараз — це велика підтримка для нас 💙 Також ви можете підтримати нас донатом за реквізитами ниж

45🙏6

3 Aug 2026, 06:51 UTC≈9,580 views100 reactionsread 12 August 2026

​​1 серпня 2026 року реактивні російські шахеди прицільно атакували автоматизований логістичний центр корпорації «RNK-Ranok» у Харкові на якому знаходилися книжки нашого видавництва. За попередніми оцінками, знищено 8 мільйонів книжок, серед яких шкільні підручники. Пожежа досі не локалізована. Це найбільша втрата книжкової інфраструктури України від початку повномасштабної війни. Відновлювати треба мільйони втрачен

85🙏15

1 Aug 2026, 10:56 UTC≈8,790 views216 reactionsread 12 August 2026

​​💔 Сьогодні ми змушені поділитися дуже болючою новиною. Унаслідок чергової російської атаки було пошкоджено склад корпорації «Ранок», на якому зберігалися й наші книжки. Наразі ми ще не знаємо, скільки примірників втратили. За кожною з цих книжок стоять місяці роботи авторів, перекладачів, редакторів, дизайнерів, друкарів і всієї команди, яка створює їх для вас. росія знову б'є по цивільній інфраструктурі та украї

😢163😭3419

1 Aug 2026, 07:00 UTC≈1,670 views34 reactionsread 6 August 2026

​​📘Трилогія Франка Тільє про Калеба Траскмана Три романи, три окремі розслідування і одна велика головоломка, частини якої складаються лише в самому фіналі. У трилогії про Калеба Траскмана Франк Тільє майстерно грається з пам'яттю, часом і сприйняттям реальності. Зникнення, жорстокі вбивства, загадковий рукопис, амнезія, дивні збіги та численні сюжетні пастки змушують сумніватися в кожній версії й перегортати сторі

31 Jul 2026, 07:13 UTC≈1,380 views31 reactionsread 6 August 2026
Video

Чотири причини прочитати книгу «Джин чекає сотню років» 💙 1. Незвичне поєднання жанрів Готична атмосфера, магічний реалізм і сімейна сага переплітаються в історії, де кожна сторінка відкриває нову таємницю. 2. Маєток, який стає окремим персонажем Старовинний будинок на узбережжі Південної Африки ніби живе власним життям: пам’ятає минуле та приховує секрети. 3. Захопливе розслідування сімейних таємниць Разом із Сан

30 Jul 2026, 15:00 UTC≈1,360 views30 reactionsread 6 August 2026
Photo

Обирайте книги під настрій та діліться добіркою з друзями 💙

Showing the 9 most recent of 9 posts we hold for @fabulabook. 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.

Citation-graph rank

Citation-graph rank — 17,556 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 35 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

TOWNBOOKS 💞📚
@townbooks · 7,299
3 posts
Валерій Калниш | Чорна лампа 🇺🇦
@blacklampa · 11,315
2 posts
Книги, стріли, Залізобетон. Канал Аліни Дихман
@dykhman · 434
2 posts
Запекла книгожерка
@sashas_reads · 10,185
2 posts
Енн з Зелених Дахів
@anne_of_green_gable · 1,856
1 post
bookish translator 📚
@bookish_translator · 546
1 post
cozy books and tea
@cozybooksandtea · 907
1 post
Della in TranslationLand
@della_translate · 369
1 post
Hitra_dinka✨
@hitradinka · 149
1 post
Веселий чєл, депресивний 🙂
@itsitskcitsjgxoyx · 31
1 post
Мрії в саду🌷🌱
@IzabellaDarkMur · 88
1 post
Книжкова Ткаля📚🧶
@knyzhkova_tkalya · 1,050
1 post
Ящірка в траві (книги, письменництво, трохи життєвого)
@lisard_in_the_grass · 1,270
1 post
Міністерство читацьких справ
@MinistryOfReadersAffairs · 1,746
1 post
Така собі письменниця
@notsogoodwriter · 129
1 post
one more chapter
@one_more_chapterr · 2,802
1 post
pink leopard
@pinkleopard1 · 209
1 post
𝕣𝕖𝕒𝕕𝕚𝕟𝕘 𝕠𝕣 𝕥𝕙𝕚𝕤.
@reading_or_this · 1,418
1 post
Перечитанка
@readowl · 134
1 post
ну шо, почитаєм?
@tatti_books · 330
1 post
Tatia Koviz | Adar-Daina UA | майстерня 🌘
@tiakoviz · 37
1 post
Хто не здох, той книжкова перекладачка
@translator_is_not_dead_yet · 527
1 post
Всратість головного мозку #УкрТґ
@vsratomemy · 5,677
1 post
Пиши як чуєш
@writewhatyouhear · 592
1 post

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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Видавництво Фабула” (@fabulabook), 6,305 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/fabulabook.

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.