Telegram RegisterThe public register of Telegram

Channel

Ковен "Читай или Беги"

@runorread

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

113subscribers

+0 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002917783783
TypeChannel
Username@runorread
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/runorread

Growth

1138 Aug 2026, 22:00 — 113 subscribers9 Aug 2026, 06:17 — 113 subscribers8 Aug 2026, 22:009 Aug 2026, 06:17
2 measurements taken within a single day. 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 112–114 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 06:17113no change
8 Aug 2026, 22:00113first reading

Engagement

20 posts held, back to 7 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
100.4%
avg views ÷ 113 subscribers
Avg views / post
113
7 posts measured
Reaction rate
10.5%
reactions ÷ views · ER floor
Posts in window
7
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 8 August 2026
Posts held20 (7 April 20268 August 2026)
Views total794
Reactions total83
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 06:17 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
38
Links
33

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

287 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 35.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10235.5%
🔥7526.1%
🥰6121.3%
❤‍🔥206.97%
👍124.18%
😱62.09%
💘51.74%
👏20.697%
💯20.697%
😈20.697%

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 287reactions 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 7 April 2026 to 8 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

8 Aug 2026, 18:40 UTC49 views9 reactionsread 9 August 2026

⭐️В ковене было необычайно жарко. Температура превысила мыслимые лимиты, и даже погодное колдовство не могло решить эту проблему. - Лето, - подумала русалка, выглядывающая из озера. - Ужас! - вторили ее мыслям домовые духи,помогающие пересаживать водоросли на период их цветения. - Какое-то аномально жаркое лето в этот раз, не понимаю, почему магия не работает, - возмущалась маленькая лисичка, сменившая ведьмовской ко

😱63

1 Aug 2026, 15:15 UTC109 views16 reactionsread 9 August 2026

🔻 Вечера в ковене, как и всегда, были наполнены шумом и весельем, но не сегодня! Дракон, свисая с крыши библиотеки, держал в лапе зажатый свиток и шумно вздыхая спрашивал: "Где эти книги?!" Библиотечные ведьмы сверялись со своими свитками и нервно постукивали ногами по брусчатке. Пока одна из них не воскликнула:"Точно! Это же предзаказы или недавно вышедшие книги наших друзей. Они еще не поступили на баланс, но мы жд

10🔥4🥰2

31 Jul 2026, 18:39 UTC63 views13 reactionsread 9 August 2026
Photo

🔮 Волшебные существа ковена собираются на фестиваль "Черным-бело", где авторы, книги которых мы читаем в ковене, будут участвовать в паблик-токе, а кроме того, принесут и привезут мерч по своим книгам. 🔮 Если вы хотите быть уверенными, что получите именно тот мерч по книгам Соры Наумовой и Марии Дубининой, который хотите и в нужном количестве, рекомендуем вам сделать заказ в "Дзюсан-маркете" заранее. Обратите внима

🥰5👍42😈2

22 Jul 2026, 13:28 UTC83 views14 reactionsread 9 August 2026
Photo

Долгожданное продолжение азиатского фэнтези о непростом пути двух юных оммёдзи «Сто жизней Сузуки Хаято - 2». Пришло время узнать правду о событии, вставшем между Хаято и Ишинори и запустившем цепочку ненависти и перерождений. И, главное, посмотреть врагу в лицо, если не испугаются. Ишинори вспомнил все, но готов ли он в это поверить? Второй том дилогии! История завершена. 📘 Читай-город 🛍 ВБ 🛍 Озон Совместные чте

14

21 Jul 2026, 13:21 UTC63 views7 reactionsread 9 August 2026
Forwarded from @juusan13

🟥🟥🟥🟥🟥🤩 🟥 полностью на Автор-Тудэй! Плюс бонусный рассказ 🙄 🌟 Ссылка – Я мечтал однажды вот так просто прогуляться по лесу с тобой, – улыбнулся Ишинори, полностью доверивший Хаято навигацию. Возможно, пантомима с компасом была исполнена им как раз ради этого. – Без груза. Понимаешь? – Рюкзак слишком тяжелый? – спросил Хаято, хотя прекрасно его понял и спрятал неловкость за шуткой. Да, он не задумывался об этом, но т

🥰7

21 Jul 2026, 07:14 UTC61 views11 reactionsread 9 August 2026
Forwarded from @juusan13

А теперь к самому сладенькому) Читаем вместе второй том! Обязательно присоединяйтесь, будем обсуждать, чем закончилась история Хаято и Ишинори. (А если предпочитаете электронный формат, а не бумажный, на АТ у нас идёт выкладка всех глав с эксклюзивным бонусом, можно купить книгу сразу и читать по мере выхода глав)

7🥰3👏1

21 Jul 2026, 05:28 UTC366 views13 reactionsread 9 August 2026
Photo

В четверг 🔢🔢🔹🔢🔢 продолжаем читать дилогию "Сто жизней Сузуки Хаято" в уютном ковене. Присоединяйтесь! 🔥

🔥10🥰2👏1

14 Jul 2026, 08:38 UTC99 views15 reactionsread 9 August 2026
Photo

Уже завтра начинаем читать здесь. Присоединяйтесь! ☺️

🔥114

12 Jul 2026, 11:55 UTC110 views15 reactionsread 9 August 2026
Photo

Напоминаем, что 🔢🔢🔹🔢🔢 стартуют чтения первого тома дилогии СТО ЖИЗНЕЙ СУЗУКИ ХАЯТО О чем эта книга вкратце: 🔥Обычный старшеклассник Хаято погибает и обнаруживает, что это происходит с ним не в первый раз. Но это перерождение особенное. 🔥Хаято пытается разобраться, кто он больше - дитя 21-го века или ученик оммёдзи из прошлого, и как не дать лучшему другу снова совершить ошибку. Тропы/теги: 🤩средневековая фэнтезийна

🔥9❤‍🔥3🥰3

8 Jul 2026, 17:44 UTC535 views17 reactionsread 9 August 2026

⚠️⚠️⚠️ — Кажется, наши домовые духи того... чокнулись совсем, — по секрету поделилась ведьма в неоновой маске. — Закрылись на чердаке и без остановки шьют халаты. — Хаори, — поправила ее мудрая русалка и дернула хвостом. — Похоже, назревает что-то... — Ужасное?! — Японское. Давай-ка не будем гадать, а пойдем и спросим. Бочку с водой на чердак заносили всем ковеном — а как иначе? Колеса к ней как-то прикрутить про

7🥰6❤‍🔥4

23 Jun 2026, 07:09 UTC102 views17 reactionsread 9 August 2026
Forwarded from @foxes_of_randallPhoto

Танеси Тейт – маг-боец из Лагона. Он полная противоположность Трикси. Ему около 20 лет. Он сильный и ловкий – даже на фоне других учеников Лагона. Его магия – огонь, неудержимый и неуправляемый... Настолько неуправляемый, что даже сам Тейт с ним не справляется. Худший ученик Лагона... с репутацией клоуна и ходячей катастрофы 😈 А ещё он очень дружелюбный, у него полно приятелей и связи буквально везде. А ещё, кажется,

🔥11🥰4👍2

23 Jun 2026, 07:09 UTC93 views14 reactionsread 9 August 2026
Forwarded from @foxes_of_randallPhoto

Совместные чтения в Ковене уже с 25.06, можно уже вступить в клуб и освоиться там, а пока давайте вспомним героев дилогии «Уроки Лагона» 🩷 Трикси Бланш – дипломат, телепат из технически развитого мира. Она попала в Лагон случайно. Трикси внешне строгая, холодная, рациональная «снежная королева», но на самом деле эмпатичная, чуткая, миролюбивая, сочувствующая... У неё большая и любящая семья, по которой она очень ску

🔥8👍3🥰3

Showing the 12 most recent of 20 posts we hold for @runorread. 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 — 793,103 of 1,183,361entries 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 9 August 2026 — this entry's latest reading, not the date you are reading this.

“Ковен "Читай или Беги"” (@runorread), 113 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/runorread.

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.