Posted without readable text

Channel
Кошка с книжкой
@koshkasknigoy
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
574subscribers
+4 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002096837627 |
|---|---|
| Type | Channel |
| Username | @koshkasknigoy |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/koshkasknigoy |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 22:55 | 574 | +4 |
| 6 Aug 2026, 18:04 | 570 | no change |
| 6 Aug 2026, 08:18 | 570 | first reading |
Engagement
15 posts held, back to 4 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 16.4%
- avg views ÷ 574 subscribers
- Avg views / post
- 94.1
- 7 posts measured
- Reaction rate
- 9.77%
- reactions ÷ views · ER floor
- Posts in window
- 7
- of 15 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. It is computed over the 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 15 (4 July 2026 – 6 August 2026) |
| Views total | 659 |
| Reactions total | 64 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 18:04 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
172 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 42.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 73 | 42.4% | |
| ❤ | 48 | 27.9% | |
| 🔥 | 31 | 18.0% | |
| 😁 | 15 | 8.72% | |
| 💯 | 2 | 1.16% | |
| 🤨 | 2 | 1.16% | |
| 🕊 | 1 | 0.581% |
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 14 of the 15 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 172reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 4 July 2026 to 6 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
Что может быть лучше подборки про котиков!
💯2
Поделюсь хорошим списком триллеров. Нью-Йорк Таймс собрали 50 лучших. Книги очень разные, некоторые триллером с натяжкой можно назвать, и все же. На распределение мест вообще можно не обращать внимания, тут у каждого свой вкус. Оказалась, что 24 из 50 я прочитала. О ещё 10 слышала, и остальные точно взяла на заметку. Из тех, что буду искать почитать отметила: Старикам тут не место. Смотрела фильм, книгу прочту с…
🔥10❤1
🗯🗯🗯 Фейт Мартин "Убийство в университете" Очень, вот просто очень неспешный детектив, где все расследование происходит скорее в голове инспектора Хиллари Грин, чем в погоне за преступником. И это просто выносящий мозг психологический детектив (в самом лучшем смысле). Если вы ещё не знакомы с серией Фейт Мартин о детективе Хиллари Грин, настоятельно рекомендую присмотреться. Ее герои живые люди, со своими слабостям…
🔥11👍3
Притащила домой мешок классики😉 А все потому, что август, скоро школа, а дома оказалось есть не все книги. Школьным списком литературы очень довольна, всех кроме Горького (с школьных лет не сложилось), давно хотела в личную коллекцию. 💗 Николай Гоголь "Вий. Тарас Бульба. Ревизор" 💗Александр Грин "Романы. Рассказы" 💗Максим Горький "Рассказы. Пьесы" 💗Проспер Мериме "Хроники Карла IX. Новеллы" 💗О. Генри сборник …
❤9
🗯🗯🗯 Стив Кавана "Пятьдесят на пятьдесят" Стопка книг Стива Каваны на моей полочке отложенных книг готова была уже упасть мне на голову! И чтобы избежать неприятностей и составить собственное мнение о детективах "у всех на слуху" прочитала его "Пятьдесят на пятьдесят" 🐈⬛ "50/50" - юридический детектив. Там где в обычных детективах заканчивается фразой "Ага, попался!", в юридических все только начинается. Как говори…
👍8❤3🔥3
Интересный книжный опыт пережила с историей Ребекки Уэйт "Отцы наши" Ребекку Уэйт горячо люблю за умение говорить на сложные темы и при этом не терять чувство юмора. Пожалуй, умение посмеяться и разрядить обстановку одно из главных достоинств ее книг. "Отцы наши" раннее произведение писательницы, и трагичность книги не была ничем разбавлена. О таком не шутят, хотя порой так хотелось, ощутить нормальность среди траг…
👍14
🗯🗯🗯 Мона Авад "Зайка" Это книга - панк в чистом виде: вызывающая, свободная, бунтующая и безумная. Иногда хотелось зажать уши, такую какофонию она вызывала. И все же, дочитав до конца это безумие, убедилась в законченности и гениальности истории. В центре сюжета талантливая студентка элитного литературного университета - Саманта. Ее талант - создавать истории: жестокие, честные, пугающе реальные. Это тот самый сл…
👍10❤2🤨2
Не думала, что после "Кита" Чхон Мёнгван я скажу такое, но... Я читаю очень странную книгу! Ощущение, что я попала в голову шизофреника, где собственное я стирается за день, а несуществующие личности приглашают тебя на свидание, разговаривают предлагают кексик или убить кого-нибудь! А кролики наблюдают за тобой и взрываются. Прочитала половину и до сих пор не уверена есть ли кто-то реальный в этой книге, кроме Сама…
😁5👍4❤1
🗯🗯🗯 Ребекка Уэйт "Конец света" Иногда, чтобы случился конец света, нужно лишь маленькое замкнутое сообщество, которое в него горячо верит. События книги разворачиваются в 1985 году в закрытой частной школе для девочек. Школа, чья история омрачена несколькими скандалами с ученицами и недостатком финансирования очень свободно смотрит на "свежую кровь". Так, в начале учебного года почти одновременно появляются новая у…
❤10
ну мы (миллениалы)
😁10
🗯🗯🗯 К. Дж Уиттл "Семь причин убить ваших гостей" Новая детективная головоломка по мотивам романа Агаты Кристи. Ужин в дорогом ресторане семи случайных людей оборачивается для них смертельными неприятностями. Кто-то скрытый оставил для каждого гостя конверт, в котором обозначен год его смерти. По-началу гости не придали значения этому, пока не начали умирать один за другим. Герои "10 негритят" в новой версии слегк…
👍13❤2🔥1
Showing the 12 most recent of 15 posts we hold for @koshkasknigoy. 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 — 1,455,653 of 1,549,376entries 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
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Кошка с книжкой” (@koshkasknigoy), 574 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/koshkasknigoy.
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.