Telegram RegisterThe public register of Telegram

Channel

Редактура или жизнь

@novel_revising

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

2,988subscribers

-5 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001058137583
TypeChannel
Username@novel_revising
Created29 November 2016measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/novel_revising

Growth

2,9882,9932,990.55 August 2026 — 2,993 subscribers6 August 2026 — 2,993 subscribers10 August 2026 — 2,992 subscribers13 August 2026 — 2,988 subscribers5 August 202613 August 2026
4 measurements spanning 7 days, net -5. 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 2,987–2,994 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 09:282,988-4
10 Aug 2026, 01:512,992-1
6 Aug 2026, 05:022,993no change
5 Aug 2026, 23:252,993first reading

Engagement

20 posts held, back to 3 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.1%
avg views ÷ 2,988 subscribers
Avg views / post
751
4 posts measured
Reaction rate
9.63%
reactions ÷ views · ER floor
Posts in window
4
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
WindowRolling 30 days · latest post in window 5 August 2026
Posts held20 (3 June 20265 August 2026)
Views total3,002
Reactions total289
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:13 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.

Reaction mix

1,006 reactions across 20 posts, in 8 distinct kinds. The most used accounts for 50.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
50750.4%
🔥34434.2%
👍636.26%
🎉393.88%
😁282.78%
😱191.89%
👏40.398%
🤔20.199%

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 1,006reactions 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 3 June 2026 to 5 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

30 Jul 2026, 14:06 UTC594 views113 reactionsread 8 August 2026
Forwarded from @unrevised_lifePhoto

Сегодня у меня день рождения!💥🥳🍾 Я его отмечаю самым идеальным образом: с любимым мужем, в прекрасном городе Красноярске, в волшебном ресторане и в лучшем состоянии чем последние 5 лет. В кои-то веки я сделала себе сама идеальный подарок: - 1️⃣5️⃣ кг. Это было очень важно как для здоровья, так и для уверенности в своих силах. Спасибо вам всем, что продолжаете читать/смотреть мои блоги🫶 Самый лучший подарок - купи

73🎉39👏1

22 Jul 2026, 16:13 UTC962 views55 reactionsread 8 August 2026

#дарк_академия #блакур Прямо к отпуску (он уже начался вотпрямщас💥) усадила свою пока-не-железную ж…пу на стул и заставила написать план редактуры с применением Хорвица и Звонцовой. По Хорвицу пунктов вышло семь, по Звонцовой – пять, и хорошая новость в том, что ими можно заниматься совершенно параллельно, друг другу они не мешают. Но опять же, пресловутая концентрация требуется и там, и там. Хорвица захотелось п

36👍17👏1🔥1

16 Jul 2026, 08:41 UTC≈1,050 views83 reactionsread 8 August 2026

Негативные отзывы - это всегда неприятно. Даже когда прошло много времени с выхода книги. Даже когда понимаешь, что все читатели разные и на всех не угодишь. Все равно такое себе. Сразу мысли в духе: "Ну я же так старалась, какого черта, неужели не вышло?" И еще мысли "сам дурак". P. S. я уже давно решила отзывы не мониторить, но тут случайно наткнулась. Вывод: решение было правильным, продолжаю в том же духе.

83

15 Jul 2026, 07:07 UTC≈1,110 views37 reactionsread 8 August 2026

Напоминаю, что часть моих переводов (в том числе Хорвиц👆) выложена бесплатно ТУТ Остальное (Честер, Койн и т.д.) - на Бусти, все ссылки в закрепленных сообщениях есть.

37

15 Jul 2026, 06:58 UTC954 views48 reactionsread 8 August 2026

#блакур #дарк_академия 💪Доделала табличку со сценами для Блакура. Немного статистики по итогу👇 В изначальном плане, который я писала для НаНоРаймо было 53 пункта. Но далеко не все пункты оказались единичными сценами, потому что мне нравится планировать общие моменты и нащупывать частности по ходу написания. Сейчас, разобрав получившийся текст, я насчитала 87 сцен, из которых 4 предстоит написать с нуля (то есть фак

40🔥8

9 Jul 2026, 10:29 UTC≈1,070 views43 reactionsread 8 August 2026

#блакур #дарк_академия Давно уже думаю, можно ли тренировать аналитическую мышцу? Про то, что можно тренировать навык написания текста (сегодня – 100 слов, через неделю – уже 500 слов в день и так далее) – давно известно. Но даже тут есть пределы: больше 3-4 часов без перерыва не напишешь, пальцы скрючатся и пар из ушей пойдет. Это, в общем-то, к любой умственной работе относится. Но последнее время прихожу к выво

43

6 Jul 2026, 10:02 UTC994 views37 reactionsread 8 August 2026

#хроники_редактуры Давайте, ради разнообразия, не про #блакур. Поняла, что не могу работать с текстом волнообразно. Это когда вычитал 3 главы, потом снова начал с первой, вычитал до пятой (например), потом снова с первой, теперь уже дошел до десятой и так далее. Когда-то на выступлении Елены Чижовой меня поразило, что это был по сути ее метод написания черновика-чистовика – она начинала, потом удаляла и снова начин

😱19👍124🤔2

1 Jul 2026, 09:24 UTC≈1,060 views35 reactionsread 8 August 2026
Photo

А вот и мои планы по литмастерству на июль. Особых надежд на выполнение не питаю – времени читать мало, в приоритете – книги марафона #читаюбезсписков, но буду стараться. Всю первую половину 2026 я читала самые свежие новинки, выходившие на русском (скоро будет обзор за 2 квартал на Бусти), так что в июле позволила себе нырнуть в завалы старенького на английском. Во-первых, «A system for writing» Боба Дото. Вопреки

28👍5🔥2

30 Jun 2026, 14:32 UTC≈1,020 views42 reactionsread 8 August 2026

#хроники_редактуры ФСЕ. Обработала все правки, вычитала целиком, что получилось, отправила литреду. На выходных, думаю, финализируем👌 100% если бы текст вылежался как я люблю, 2-3 месяца минимум, а лучше все полгода, я бы его причесала по итогу намного лучше. Скорость хороша для написания основы, а вот для редактуры нужен свежий, не замыленный взгляд. Но сроки есть сроки, так что вальсируем как умеем🤗

🔥42

29 Jun 2026, 17:59 UTC≈1,010 views37 reactionsread 8 August 2026

#update Итоговая скорость - 7 страниц за 2 часа. Завтра у меня весь день, есть шанс одолеть эту глыбу к вечеру и даже время на финальный перечит должно остаться🤞🏻🤞🏻🤞🏻 (при условии, что дальше не будет хуже😂)

🔥37

29 Jun 2026, 16:49 UTC959 views38 reactionsread 8 August 2026

#update Ммм... 1 страница из 23 за 50 минут. Темп просто🔥 (нет)

😁26🔥12

Showing the 12 most recent of 20 posts we hold for @novel_revising. 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 — 945,625 of 1,345,403entries 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.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Редактура или жизнь” (@novel_revising), 2,988 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/novel_revising.

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.