3 measurements spanning 4 days, net -2. 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 2,059–2,061 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 22:57
2,059
-2
8 Aug 2026, 03:37
2,061
no change
7 Aug 2026, 06:16
2,061
first reading
Engagement
18 posts held, back to 19 February 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.32%
avg views ÷ 2,059 subscribers
Avg views / post
192
1 post measured
Reaction rate
2.60%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 25 July 2026
Posts held
18 (19 February 2026 – 25 July 2026)
Views total
192
Reactions total
5
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:01 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
84 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 64.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
54
64.3%
👎
11
13.1%
🔥
8
9.52%
❤
5
5.95%
💩
4
4.76%
😁
1
1.19%
🤮
1
1.19%
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 16 of the 18 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 84reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 19 February 2026 to 25 July 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.
Advertising
Ad load
5.56%
1 of 18 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
663
over 1 measured post
Median views · rest
748
over 17 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
CQH36pWzJqE1dR7Fy5i31HWFWpqcyU2J253e98WwVuXaBE
1
3 June 2026
3 June 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 18 most recent posts we hold, published 19 February 2026 to 25 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🚀 Подборка полезных IT каналов в Max
Системное администрирование, DevOps 📌
https://max.ru/i_odmin Все для системного администратора
https://max.ru/bash_srv Bash Советы
https://max.ru/sysadminof Книги для админов, полезные материалы
https://max.ru/i_odmin_book Библиотека Системного Администратора
https://max.ru/i_devops DevOps: Пишем о Docker, Kubernetes и др.
https://max.ru/tipsysdmin Типичный Сисадмин
https://max…
🌪 Ваша дата в опасности: flatMapConcat vs Merge vs Latest
Вам нужно взять поток ID-шников и для каждого скачать детали из сети. Задача банальная:
val detailsFlow = idsFlow.flatMap??? { id ->
repository.fetchDetailsAsFlow(id)
}
IDE услужливо подсказывает три варианта: Concat, Merge, Latest. И вот тут кроется разница между "работает как часы", "тормозит" и "тихо теряет данные".
Давайте разберем на пальцах.
…
🤖 Android-приложение — это не только красивый экран. За ним стоят работа с внешним API, загрузка данных, разделение логики по слоям и архитектура, которую можно поддерживать без хаоса в коде.
🗓 2 июля в 20:00 МСК приглашаем вас на открытый урок в преддверии старта курса «Android-разработчик. Базовый уровень». На занятии разберём путь данных в Android-приложении: от запроса к серверу до отображения информации на экра…
🔮 Убийца бойлерплейта: Встречайте Context Parameters (Kotlin 2.x)
Мы так привыкли к Dependency Injection (Dagger/Hilt/Koin), что перестали замечать, как он раздувает наш код.
Сценарий из жизни: вам нужно залогировать событие глубоко в слое бизнес-логики. Вы берете интерфейс Logger и прокидываете его через конструкторы пяти промежуточных классов, хотя он нужен только в одном методе на самом дне.
В Kotlin 2.1+ (KEEP-…
Яндекс обновил Yandex Mobile Ads SDK для монетизации мобильных приложений — и это интересно
Во-первых, Yandex Mobile Ads SDK 8 поддерживает Kotlin Coroutines и Swift async/await. А значит, рекламу можно загружать линейно и предсказуемо.
Во-вторых, в новой версии появился скрипт для автогенерации идентификаторов SKAdNetwork в Info.plist. Данные о конверсиях в установку теперь точнее для iOS-приложений.
В-третьих, п…
🧩 Kotlin учится деструктурировать не по позиции, а по имени
В Kotlin 2.3.20 появилась экспериментальная фича name-based destructuring.
Раньше деструктуризация работала через componentN() и зависела от порядка полей:
data class User(
val firstName: String,
val lastName: String
)
val user = User("Alice", "Husseini")
val (lastName, firstName) = user
И всё: переменные названы красиво, но значения уже пер…
🛑 Как задушить свое приложение, используя Dispatchers.IO
Мы привыкли думать, что Dispatchers.IO - это бездонная бочка. Закинул туда сетевой запрос или чтение файла, и корутины сами всё разрулят.
Но у Dispatchers.IO есть жесткий лимит - 64 потока (или количество ядер процессора, если их больше).
Сценарий катастрофы:
Вам нужно скачать 100 картинок или сделать батч-запросы к очень мееееедленному стороннему API. Вы за…
🧨 SharedFlow для Side Effects - это ошибка. Разбираем официально лучший подход
В MVI/MVVM есть вечная проблема: разовые события (Side Effects). Показать Snackbar, перейти на другой экран, проиграть звук. Это не стейт, это событие, которое должно произойти ровно один раз.
Долгое время комьюнити пыталось решить это через SharedFlow.
Выглядело это так:
private val _effects = MutableSharedFlow<Effect>()
val effects =…
Освой Kotlin и Android за 60 часов
Этот обширный курс по Kotlin и Android проведёт вас от основ до продвинутых концепций с практическими заданиями. В ходе курса для начинающих научит вас создавать несколько реальных приложений, включая впечатляющий клон Uber, демонстрирующий профессиональные приёмы разработки.
Курс охватывает Firestore, SQLite, MVVM, Retrofit, Navigation Component, Jetpack Compose и многое другое.
…
🐘 Ловушка MVI: Как мы превратили ViewModel в God-object
Все мы читали туториалы по MVI (Unidirectional Data Flow). Идея звучит безупречно: у вас есть один Intent (событие от юзера), один Reducer и один State (дата-класс, описывающий весь экран).
На экране авторизации это выглядит как поэзия. Но потом вы приходите на реальный прод.
Вам дают Главный Экран приложения: здесь лента постов, фильтры, баннеры, статус сети…
👨💻 Вы пишете тесты, потому что «так надо»
Покрываете несколько функций, проверяете очевидные кейсы, ставите галочку. Тесты проходят, но чувствуете, что это формальность. Они не помогают находить баги, не улучшают код, не дают уверенности в изменениях.
Проблема не в тестах. Проблема в том, как вы их пишете.
🗓 12 марта в 20:00 — открытый урок «Профессиональные Unit-тесты (модульные тесты) в Android: как тесты улучша…
❤1
Showing the 12 most recent of 18 posts we hold for @kotlin_lib. 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 — 1,057,888 of 1,151,006entries 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.
Mentions
Named by 3 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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Kotlin” (@kotlin_lib), 2,059 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/kotlin_lib.
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.