11 measurements spanning 10 days, net -7. 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 24,442–24,485 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 20:44
24,454
-5
16 Aug 2026, 22:17
24,459
+2
15 Aug 2026, 16:38
24,457
+2
14 Aug 2026, 03:48
24,455
+8
12 Aug 2026, 22:03
24,447
-7
11 Aug 2026, 22:42
24,454
-19
10 Aug 2026, 21:55
24,473
-7
9 Aug 2026, 22:12
24,480
+3
8 Aug 2026, 23:13
24,477
+15
8 Aug 2026, 01:55
24,462
+1
7 Aug 2026, 20:46
24,461
first reading
Engagement
33 posts held, back to 30 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 23 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
9.78%
avg views ÷ 24,454 subscribers
Avg views / post
2,390
33 posts measured
Reaction rate
0.786%
reactions ÷ views · ER floor
Posts in window
33
of 33 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 17 August 2026
Posts held
33 (30 July 2026 – 17 August 2026)
Views total
78,894
Reactions total
620
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Aug 2026, 14:17 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
Video runtime
1m 00s
Average length
30s
Measured directly from 2 videos 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
620 reactions across 33 posts, in 8 distinct kinds. The most used accounts for 52.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
324
52.3%
👍
198
31.9%
🔥
43
6.94%
😍
27
4.35%
🥰
14
2.26%
🤩
12
1.94%
👌
1
0.161%
👏
1
0.161%
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 33 of the 33 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 620reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 30 July 2026 to 17 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.
🏛 История чешского слова
Сегодняшнее слово:
Robot
Да-да, именно чешское слово.
Его придумал писатель Karel Čapek для своей пьесы R.U.R. в 1920 году.
Слово происходит от robota — тяжёлый принудительный труд.
💡 Сегодня слово robot используют практически во всём мире, но родилось оно именно в Чехии.
. . .
KOVER school — школа чешского языка для взрослых и детей 🇨🇿
🇨🇿 Чешский с характером: бесплатный 3-дневный марафон
Хотите лучше понимать живой чешский и звучать увереннее? Три дня — три необычные темы 🔥
🤬 25.08 — Учимся ругаться на чешском
Популярные ругательства, эмоциональные выражения и их реальное значение.
🎙 Михаил Монстров
💬 26.08 — Делаем комплименты на чешском
Живые фразы для друзей, коллег и близких.
🎙 Елена Гайдукова
😎 27.08 — Звучим небанально
Разговорные выраже…
🎬 Фраза, которую вы услышите в любом фильме
To snad není možné!
Дословно:
«Это, наверное, невозможно!»
Но по смыслу это означает:
😳 Да не может быть!
📌 Примеры:
To snad není možné!
— Да не может быть!
To není možné!
— Не может быть!
💡 Если будете смотреть чешские фильмы или сериалы, вы услышите эту фразу десятки раз.
. . .
KOVER school — школа чешского языка для взрослых и детей 🇨🇿
🇬🇧 Самая сложная тема в английском? Разберёмся с ней вместе!
Мы запускаем новые курсы английского языка в KOVER school и в честь этого проводим бесплатный онлайн-вебинар 🎁
Тема — 12 времён английского: как перестать путаться и начать использовать их в речи.
На вебинаре разберём:
🔹 понятную логику 12 времён без заучивания таблиц;
🔹 как быстро выбирать нужное время;
🔹 разницу между временами на практических примерах…
📚 Слово, которое используют каждый день
Hned
Это слово означает:
⏱ Сразу.
📌 Hned přijdu.
— Сейчас приду.
📌 Udělám to hned.
— Сделаю это сразу.
📌 Hned ráno.
— Рано утром, первым делом.
💡 Чехи используют hned буквально каждый день, поэтому обязательно добавьте его в свой словарный запас.
. . .
KOVER school — школа чешского языка для взрослых и детей 🇨🇿
🇨🇿 Интересный факт о Чехии
Знаете ли вы, сколько в Чехии замков?
🏰 Более 2 000.
Это один из самых высоких показателей в мире.
Именно поэтому почти в каждом регионе можно найти старинный замок или крепость, до которых легко добраться на поезде или автобусе.
💡 Если любите путешествовать — Чехия точно не даст заскучать.
. . .
KOVER school — школа чешского языка для взрослых и детей 🇨🇿
Как сказать «не накручивай себя»
Если хотите поддержать человека:
• Nestresuj se. — Не переживай.
• Nemysli na to tolik. — Не думай об этом так много.
• Zbytečně se tím netrap. — Не мучай себя понапрасну.
💬 Чехи часто используют именно netrap se в таких ситуациях.
🇨🇿 Среднее образование в Чехии: что важно знать перед поступлением?
Приглашаем родителей и школьников на бесплатный онлайн-семинар, где разберём систему среднего образования в Чехии и основные этапы поступления.
📚 Поговорим о том:
• как выбрать школу и направление;
• какие документы нужны для поступления;
• как проходят вступительные экзамены и CERMAT;
• как подготовиться к поступлению;
• как школьнику адаптировать…
Набор в группы в августе🇨🇿
🔸 Уровень А2
📅 15.8-5.12
⌚️ Сб + Вс
⏳ 10:00-13:15
💻 Online
🔹 Уровень В1
📅 14.8-16.12
⌚️ Пн + Ср + Пт
⏳ 18:00-20:30
💻 Online
Для записи и консультации напишите нам в @kover_school
🗣️ Почему вас не понимают чехи, хотя вы учите язык?
Можно знать грамматику и сотни слов, но всё равно звучать непривычно для чехов.
В новом видео разбираем 4 частые ошибки:
🗣️ длина гласных;
👅 произношение «ř»;
📚 книжный и живой чешский;
❓ правильная интонация.
Смотрите выпуск, чтобы улучшить произношение и говорить естественнее 🇨🇿
📲 Смотреть на YouTube: https://youtu.be/Hre7mkDldUI
❤10
Showing the 12 most recent of 33 posts we hold for @kover_czech. 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 — 177,780 of 1,481,306entries 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 2 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 17 August 2026 — this
entry's latest reading, not the date you are reading this.
“KOVER | Чешский язык | Чехия” (@kover_czech), 24,454 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/kover_czech.
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.