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Channel

#книголав

@knygolove

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

8,542subscribers

+45 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-1001485011311
TypeChannel
Username@knygolove
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held16
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/knygolove

Topic

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 11 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

8,4388,5828,5106 August 2026 — 8,497 subscribers6 August 2026 — 8,497 subscribers6 August 2026 — 8,498 subscribers9 August 2026 — 8,503 subscribers12 August 2026 — 8,490 subscribers16 August 2026 — 8,482 subscribers19 August 2026 — 8,467 subscribers22 August 2026 — 8,466 subscribers25 August 2026 — 8,459 subscribers28 August 2026 — 8,440 subscribers31 August 2026 — 8,438 subscribers3 September 2026 — 8,440 subscribers9 September 2026 — 8,566 subscribers12 September 2026 — 8,582 subscribers16 September 2026 — 8,565 subscribers25 September 2026 — 8,542 subscribers8,5426 August 202625 September 2026
16 measurements spanning 51 days, net +45. 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 8,416–8,604 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 14:558,542-23
16 Sept 2026, 19:418,565-17
12 Sept 2026, 19:558,582+16
9 Sept 2026, 00:378,566+126
3 Sept 2026, 10:028,440+2
31 Aug 2026, 10:258,438-2
28 Aug 2026, 14:448,440-19
25 Aug 2026, 21:048,459-7
22 Aug 2026, 20:378,466-1
19 Aug 2026, 06:238,467-15
16 Aug 2026, 07:158,482-8
12 Aug 2026, 13:058,490-13
9 Aug 2026, 08:318,503+5
6 Aug 2026, 16:488,498+1
6 Aug 2026, 03:028,497no change
6 Aug 2026, 02:238,497first reading

Engagement

105 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 24 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
14.1%
avg views ÷ 8,542 subscribers
Avg views / post
1,210
11 posts measured
Reaction rate
3.20%
reactions ÷ views · ER floor
Posts in window
11
of 105 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 28 August 2026
Posts held105 (31 July 2026 – 28 August 2026)
Views total13,259
Reactions total424
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 17:26 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
1m 33s
Average length
23s

Measured directly from 4 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

5,881 reactions across 101 posts, in 25 distinct kinds. The most used accounts for 50.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,99550.9%
💔1,44824.6%
🔥2975.05%
❤‍🔥1963.33%
😢1572.67%
😁1452.47%
😭1091.85%
🥴861.46%
😍841.43%
🥰821.39%
🙏470.799%
👍450.765%
👀370.629%
🤔320.544%
🤯230.391%
👏210.357%
🤩170.289%
🎉140.238%
🤗130.221%
💅90.153%
5 further kinds240.408%

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 105 of the 105 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 6,153 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 105 most recent posts we hold, published 31 July 2026 to 28 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

28 Aug 2026, 15:58 UTC534 views10 reactionsread 28 August 2026
Photo

💘 Знайомимося з героями «Флірту» ✨ Тара — 37-річна мрійниця, яка вірить у долю, знаки Всесвіту й те, що «твоє» обов’язково тебе знайде. Запальна, саркастична й навіть у найважчі моменти рятується гумором. 🧩 Колін — прагматик і скептик. У долю не вірить: на його думку, за бажане потрібно боротися. А найбільше він мріє стати тим самим турботливим, трохи дивакуватим татом, якого йому самому бракувало. ❤️ Разом вони в…

❤10

28 Aug 2026, 09:03 UTC965 views30 reactionsread 28 August 2026
Photo

Продовжуємо говорити з авторкою «Клейнодів часу» 💌 ✍️ Який герой та сцена з’явилися першими? Першим був козак Власенко. Під час походу із Сагайдачним на Стамбул він випадково знаходить давній візантійський рукопис і вірить, що в ньому приховані знання, здатні змінити світ. Власне, саме з цієї сцени й почалася вся історія. ✍️ Який персонаж найбільше вимотав? Спочатку я була впевнена, що історія почнеться на Велико…

❤22😍5🔥3

28 Aug 2026, 07:59 UTC≈1,220 views75 reactionsread 28 August 2026

Жахливі новини зранку. Колеги, розуміємо та розділяємо ваш біль! Тримайтеся, ми з вами! 🫂

😢52😭11💔6🙏4❤2

28 Aug 2026, 07:54 UTC≈1,010 views126 reactionsread 28 August 2026
Forwarded from @readeat_officialPhoto

Сьогодні російська атака знищила склад у Святопетрівському — місце, звідки тисячі книжок щодня вирушали до вас по всій Україні. Саме звідси до вас їхали ваші книжкомрії. Кожна коробка була чиїмось очікуванням, подарунком, давно омріяною книжкою. І нам дуже боляче усвідомлювати, що цього місця більше немає. На жаль, зараз ми тимчасово не зможемо здійснювати відправки з інтернет-магазину. Нам потрібен час, аби оцінит…

😭80💔41❤5

28 Aug 2026, 07:27 UTC≈1,210 views23 reactionsread 28 August 2026
Photo

Сьогодні у Львові — зустріч із Дмитром Кулебою 📚 Поговоримо про події, рішення й перемовини, які вже стали частиною новітньої історії України. Уже сьогодні Дмитро Кулеба презентує книгу «Дипломатична кухня воєнного часу» та говоритиме про досвід української дипломатії в один із найскладніших періодів нашої історії. 📍 Львівська обласна бібліотека для юнацтва ім. Романа Іваничука, площа Ринок, 9 🕕 28 серпня, 18:00 …

❤18👎4🗿1

27 Aug 2026, 15:05 UTC≈1,310 views37 reactionsread 28 August 2026
Photo

Книголавери, знайомимося ближче з Аліною Мілсент — авторкою «Клейнодів часу» 💛 Вмощуйтесь зручніше! Дуже цікаво зсередини дізнаватись про книжку 👀 Ми з пані Аліною поговорили про те, ким вона є поза рукописом і як історія, що починалася без детального плану, поступово перетворилася на масштабну родинну сагу крізь століття. ✍️ Аліна Мілсент — авторка «Клейнодів часу». А хто вона, коли відкладає рукопис? Та, хто н…

❤31🥰6

27 Aug 2026, 13:14 UTC≈1,320 views21 reactionsread 28 August 2026
Photo

☀️ Серпень добігає кінця, а значить, саме час на останній літній роман. Той, де є флірт, випадкові зустрічі, трохи хаосу й почуття, яких ніхто не планував 💘 🍒 «Назви свою ціну» — Голлі Джеймс 🍒«Сп’янілі від кохання» — Джасмін Ґіллорі 🍒«Паризька кулінарна школа» — Софі Бемон 🍒«Сусідська угода» — Ешлі Елісон 🍒«Поки бувай» — Кейт Бромлі 🍒«Ніч у “Східному експресі”» — Вероніка Генрі Обирайте свій — і забирайте останні…

❤21

27 Aug 2026, 10:35 UTC≈1,370 views34 reactionsread 28 August 2026
Photo

Продовжуємо книжковий гороскоп 🔮 Сьогодні на черзі прогноз: Лев ♌️ + Риби ♓️ + Козеріг ♑️ 😜 Діліться чи попали ми в настрій?

❤24🥰10

27 Aug 2026, 08:30 UTC≈1,510 views49 reactionsread 28 August 2026
Video

Вже знайомі з Ріаннон? 👀 Можливо, ви бачили серіал «Солоденька» з Еллою Пернелл, а тепер українською ще й буде книжка Сі Джей Скуз, з якої все почалося. На перший погляд Ріаннон — тиха й непомітна дівчина: живе з хлопцем, обожнює свою чихуахуа й працює помічницею редакторки. Але є одна деталь — Ріаннон складає списки людей, яких хотіла б убити. І часом списками справа не обмежується 😶 До речі, книжкова історія та …

🔥26❤17👀4❤‍🔥2

26 Aug 2026, 15:08 UTC≈1,450 views37 reactionsread 28 August 2026
Photo

Як пишеться історія, що охоплює кілька століть, десятки героїв і різні куточки світу? 👀 Розпитали Аліну Мілсент про те, як народжувалися «Клейноди часу», хто з героїв найбільше дивував авторку та чому весь роман спочатку був написаний від руки. Скоро покажемо вам цю розмову 💛 💌 До усіх передзамовлень — подарунок — листівка від авторки!

❤30🤩6👍1

Showing the 12 most recent of 105 posts we hold for @knygolove. 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.

Polls

The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

9 Aug 2026, 12:13 UTCAnonymous Poll528 voters

Книжкова суперсила:

  1. ⚡️Читати 500 сторінок за годину62%
  2. 😎 Забувати сюжет і перечитувати улюблені книги як уперше40%

The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

9 Aug 2026, 12:10 UTCAnonymous Poll529 voters

Ви в книгарні й маєте гроші тільки на одну:

  1. 👀 Красива обкладинка11%
  2. ❤️ Улюблений автор91%

The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

9 Aug 2026, 12:09 UTCAnonymous Poll525 voters

Що страшніше?

  1. 🙃 Зіпсований корінець46%
  2. 🤨 Спойлер57%

The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

9 Aug 2026, 12:07 UTCAnonymous Poll525 voters

Давайте ще більше дізнаємось один про одного 👀 🫵 Книголюби, обирайте Що ви читатимете до кінця життя?

  1. 📖 Паперові книги93%
  2. 📱Електронні книги13%

The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 105 most recent posts we hold, published 31 July 2026 to 28 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 38 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 · 7,265
3 posts
CHORNOBROVA KAROOKA
@chornobrova_karo_oka · 9,274
2 posts
Книги, стріли, Залізобетон. Канал Аліни Дихман
@dykhman · 461
2 posts
Запекла книгожерка
@sashas_reads · 10,163
2 posts
bookish translator 📚
@bookish_translator · 607
1 post
читлива душа
@chytlyva_dusha · 883
1 post
cozy books and tea
@cozybooksandtea · 936
1 post
Веселий чєл, депресивний 🙂
@itsitskcitsjgxoyx · 30
1 post
Мрії в саду🌷🌱
@IzabellaDarkMur · 87
1 post
Книжкова Ткаля📚🧶
@knyzhkova_tkalya · 1,169
1 post
Кузьміна каже
@kuzminasays · 2,353
1 post
Ящірка в траві (книги, письменництво, трохи життєвого)
@lisard_in_the_grass · 1,354
1 post
Міністерство читацьких справ
@MinistryOfReadersAffairs · 1,758
1 post
Така собі письменниця
@notsogoodwriter · 124
1 post
one more chapter
@one_more_chapterr · 2,944
1 post
𝕣𝕖𝕒𝕕𝕚𝕟𝕘 𝕠𝕣 𝕥𝕙𝕚𝕤.
@reading_or_this · 1,386
1 post
Перечитанка
@readowl · 132
1 post
sofiabooks📚
@sofiaaabs · 1,015
1 post
ну шо, почитаєм?
@tatti_books · 312
1 post
Tatia Koviz | Adar-Daina UA | майстерня 🌘
@tiakoviz · 36
1 post
Хто не здох, той книжкова перекладачка
@translator_is_not_dead_yet · 658
1 post
Всратість головного мозку #УкрТґ
@vsratomemy · 5,686
1 post
Work Compass
@workcompass · 10,057
1 post
Пиши як чуєш 🍄‍🟫 Катерина Корнієнко
@writewhatyouhear · 823
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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“#книголав” (@knygolove), 8,542 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/knygolove.

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.