4 measurements spanning 19 days. 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 324–325 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Aug 2026, 02:09
324
-1
19 Aug 2026, 03:23
325
+1
6 Aug 2026, 21:48
324
no change
6 Aug 2026, 20:10
324
first reading
Engagement
19 posts held, back to 10 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
17.3%
avg views ÷ 324 subscribers
Avg views / post
56.0
1 post measured
Reaction rate
12.5%
reactions ÷ views · ER floor
Posts in window
1
of 19 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 1 August 2026
Posts held
19 (10 July 2026 – 1 August 2026)
Views total
56
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 21:48 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
56 reactions across 16 posts, in 10 distinct kinds. The most used accounts for 42.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
24
42.9%
😭
7
12.5%
💔
6
10.7%
🔥
5
8.93%
❤🔥
4
7.14%
😍
3
5.36%
🤣
3
5.36%
😨
2
3.57%
💋
1
1.79%
😁
1
1.79%
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 19 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 56reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 10 July 2026 to 1 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.
🇺🇸
В первые #Киновторники августа мы посмотрим драму Райана Мерфи «Обыкновенное сердце»
❗️Фильм будет идти на языке оригинала с русскими сабами
❣️По окончании фильма поговорим с нашим любимым спикером, Арэлем Гринбергом, историком, куратором выставок, специалистом по ЛГБТК+ движению, специалистом в области jewish studies и etc etc
📅 Когда? - 04.08.2026
⏰ Во сколько сбор гостей? 20:20 (по Мск) или в 19:20 (по Бер…
🇮🇪
В новый вторник #Киновторники к сожалению пришлось перенести запланированный фильм и разговор с экспертом. Но мы на легком дыхании посмотрим иронический детектив, и попытаемся раньше овечек определить убийцу их фермера, которого сыграл Хью Джекман
❗️Фильм будет идти на языке оригинала с русскими сабами
📅 Когда? - 21.07.2026
⏰ Во сколько сбор гостей? 20:00 (по Мск) или в 19:00 (по Берлину)
🕰️ Начало сеанса? - 2…
Выхожу из вынужденной цифровой спячки.
И сразу вот вам трейлер «Доктора Дума» от #Marvel, в котором предстоит супермега противостояние Доктора Дума Мстителей
Кто не в курсе, в роли доктора: Роберт Дауни-младший (а это значит, что Вселенные, где из Старка вырос Дум и он стал Мега злюкой и где Старк стал Железным челом, пересекутся)
📆 Премьера 18 декабря
👉 в кинотеатральных залах
Я это сделал!
Наконец-то дошел до последней попытки!
Это был очень тревожный раунд и триллер с кучей поворотов не туда, но!..
Ах да! На кону было наказание мне от вас! Так что смотрите скорее и узнайте: писать ли фильм/мультфильм/аниме в комментариях, из которых я выберу себе фильм-приговор, или нет 😛
#мояигра
Ушла из жизни ирландская актриса Бренда Фрикер. Ей был 81 год
Для миллионов зрителей артистка осталась той самой «голубиной леди» из «Один дома-2»
Но её главной работой в карьере стала драма «Моя левая нога», за которую она получила премию «Оскар» за лучшую женскую роль второго плана и стала первой ирландской актрисой, удостоенной этой награды (Пересмотрите этот фильм в выходные)
Навсегда в сердечке
#RIP
И когда он все успевает?
Трейлер нового проекта Райана Мерфи «Осколки» про старшеклассников, которые узнают, что в их городе завелся маньяк. Ну и как водится, подозрения падают на новичка
Без стандартных провокаций и пикантностей не обойтись
📆 Премьера 5 августа
👉 на #Hulu
Выпустили тизер-трейлер мультфильма «Hexed» о школьнице, оказавшейся в волшебном мире, которым правят ведьмы.
А ведьмы нам нравятся
Ждем
📆 Премьера 25 ноября
👉 в кино (или на #Disney+?)
❤1
Showing the 12 most recent of 19 posts we hold for @Kinovtorniki. 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.
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 26 August 2026 — this
entry's latest reading, not the date you are reading this.
“Киновторники - о кино и смыслах” (@Kinovtorniki), 324 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/Kinovtorniki.
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.