Як написати книгу та не збожеволіти? Вправи, корисні поради, добірки книг, жарти про письменників, корисна інформація про сам процес написання книг.
Авторка: @JuliaKubay
Created
17 November 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
4 measurements spanning 8 days, net -6. 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 9,134–9,150 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 06:37
9,142
+6
11 Aug 2026, 12:35
9,136
-6
8 Aug 2026, 04:17
9,142
-6
7 Aug 2026, 07:47
9,148
first reading
Engagement
20 posts held, back to 21 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 15 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
21.4%
avg views ÷ 9,142 subscribers
Avg views / post
1,950
20 posts measured
Reaction rate
5.61%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 14 August 2026
Posts held
20 (21 July 2026 – 14 August 2026)
Views total
39,040
Reactions total
2,190
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 09:54 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
≈4,640
Videos
≈212
Links
≈766
Lifetime counters from Telegram’s own channel header, read 15 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.
Video runtime
15s
Average length
15s
Measured directly from 1 video 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
2,190 reactions across 20 posts, in 30 distinct kinds. The most used accounts for 42.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
928
42.4%
😁
623
28.4%
❤🔥
163
7.44%
💯
142
6.48%
🤣
56
2.56%
👀
33
1.51%
🤝
33
1.51%
🤯
29
1.32%
💔
28
1.28%
🕊
26
1.19%
⚡
20
0.913%
🔥
15
0.685%
🗿
15
0.685%
😱
13
0.594%
😐
10
0.457%
💘
9
0.411%
🤩
9
0.411%
🍓
6
0.274%
🤔
6
0.274%
🤪
6
0.274%
10 further kinds
20
0.913%
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 20 of the 20 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 2,190reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 21 July 2026 to 14 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.
Переклад:
«Автори фанфіків — це просто читачі фанфіків, які не змогли знайти той фанфік, який хотіли прочитати»
Побачила це і трішки попала ностальгія в око.
Я починала із фанфіків. І деколи бачу, що на просторах інтернету пишуть: книга нагадує фанфік.
І мені стає сумно. Бо я роками захоплювалася фікрайтерством, була його частинкою і думаю, що серед них є набагато сильніші історії, ніж деякі видані книги.
Не вар…
#конкурси
Прийом творів на Конкурс «Українська містика» - 2026
Знайшла для вас конкурс, надіюсь, що я його ще не публікувала тут. Всі, хто пише в жанрі містика або хотіли б спробувати свої сили в ньому – це ваш шанс.
Тема: «Місця сили. Замки. Річки.»
Вік: +14 років
Кількість знаків: 25-70 тис знаків з пробілами мінімум. Зазначили, що будуть орієнтуватися на кількість знаків у гугл-документі.
У мене раз було, що…
#мій_робочий_процес
Мінус того, коли дала полежати рукопису місяць.
Читаю це і перша думка про синтезатор, як про музичниий інструмент. Ще й для борщу…
🍉 Перший етап серпневого письменницького марафону завершено! 🍉
Я давно не бачила стільки коментарів… Я так розумію, що продуктивність аж зашкалювала на початку серпня і, надіюсь, що це буде продовжуватися і надалі.
Хочу аби другий етап був сповнений натхнення та вільного часу для письма.
Я вже теж беруся активно працювати над книгою. Хочу до кінця серпня віддати редакторці. Тому точно побачите цифри від мене в таб…
#бінго
Ви чекали, а я нарешті зробила 😁 Нове бінго!
Правила прості:
1. Позначаєте комірки, які ви виконали з персонажами.
2. Якщо всі клітинки чи в одному рядку, чи в стовпчику або ж по діагоналі – всі відмічені, отже, ви маєте бінго!
Діліться у коментарях, що у вас вийшло ♥️
- Я так розумію, щоб написати "Танці з кістками" ти не проходив якісь літературні курси - типу яка має бути структура і герої. Як ти тоді її писав?
Андрій Сем'янків: - Ну я погуглив, який об'єм має бути у роману. Поділив, скільки слів треба писати щодня, щоб написати книжку за два місяця. Ну і все, через два місяці закінчив.
Я, яка за попередні 4 місяці тільки створила файл для рукопису: 😐
Під час редагування є моїх топ-фраз, після яких я розумію, що потрібно певний фрагмент або видаляти, або переписувати:
🔹 шо?
🔹 нащо мені ця інформація?
🔹 а це до чого?
🔹 коли я вирішила, що це сюди пасує?
🔹 Господи, це я писала?
🔹 так це ж було вже
🔹 ти мене бісиш через екран
🔹 я це писала, але я нічого не розумію
🔹Господи допоможи
Так, коли я редагую — то розмовляю із рукописом 😁
Які фрази ви говорите своєму руко…
#марафон
☀️Четвертий етап липневого марафону завершено! ☀️
За цей місяць ми написали 204 760 слів! Мабуть, це поки найменше число за цей місяць. Спишу на те, що відпочивали, набиралися сил на новий етап. Та що я тут… сама ж не писала, але у серпні приєднаюся.
Топ-5 учасників, хто найбільше написав:
🥇Полі Тиміш — 30 139
🥇Алаіс — 25 265
🥇Марія Талдонова — 20 100
🥇Елевонда Евермонт — 18 334
🥇Атеніна Ноктуа — 14 10…
❤17🕊6
Showing the 12 most recent of 20 posts we hold for @writers_world_ua. 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 — 592,078 of 1,481,217entries 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
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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Комірчина письменника” (@writers_world_ua), 9,142 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/writers_world_ua.
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.
