Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far below this size band
91.1 average views per post against 160,720 subscribers — an engagement rate of 0.057%. Across the 2,340 registered channels in the same cohort — 100,022–316,171 subscribers, posting mainly in Russian — the middle half sit between 4.39% and 20.6%, with a median of 9.80%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
322 of 322 published in the window (322 exact, 0 rounded by Telegram)
Views totalled
29,339
Mature posts only
0.056% over 311 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 5 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
126 measurements spanning 95 days, net -25,733. 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 155,575–190,901 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 126
Measured (UTC)
Subscribers
Change
9 Nov 2026, 06:31
161,092
+59
8 Nov 2026, 13:14
161,033
+31
7 Nov 2026, 20:47
161,002
+356
7 Nov 2026, 09:39
160,646
-61
6 Nov 2026, 21:01
160,707
-187
6 Nov 2026, 09:40
160,894
+99
5 Nov 2026, 23:35
160,795
+75
5 Nov 2026, 11:26
160,720
+439
5 Nov 2026, 00:46
160,281
+630
4 Nov 2026, 10:56
159,651
-186
3 Nov 2026, 21:59
159,837
-59
3 Nov 2026, 09:39
159,896
-94
2 Nov 2026, 22:36
159,990
-25
2 Nov 2026, 09:35
160,015
-29
2 Nov 2026, 01:58
160,044
-247
1 Nov 2026, 07:10
160,291
-35
31 Oct 2026, 22:30
160,326
-120
31 Oct 2026, 04:40
160,446
no change
31 Oct 2026, 02:01
160,446
-231
30 Oct 2026, 05:17
160,677
first reading
Engagement
1,048 posts held, back to 4 August 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 193 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.06%
avg views ÷ 161,092 subscribers
Avg views / post
97.4
323 posts measured
Reaction rate
6.55%
reactions ÷ views · ER floor
Posts in window
323
of 1,048 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 312 of 323 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
1,048 (4 August 2026 – 8 November 2026)
Views total
31,474
Reactions total
2,002
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 03:13 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
42h 29m
Average length
2m 33s
Measured directly from 1,000 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
4,852 reactions across 858 posts, in 3 distinct kinds. The most used accounts for 45.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,193
45.2%
❤
2,174
44.8%
🔥
485
10.00%
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 859 of the 1,000 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 4,852 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 August 2026 to 8 November 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 1,000 we hold a reading for · 0.1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kino_online3. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 8 August 2026 to 8 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 323 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
📹 Джентльмен грабитель (2014)
🔈 Жанр: биография, криминал, экшн
➡️ О чём фильм:
Он обаятелен, галантен, приветлив и всегда душа компании. Но за безупречными манерами скрывается опасный преступник. Всего за год этот необычный грабитель успевает ограбить более 60 банков, каждый раз оставляя за собой след дерзких преступлений. Но что заставило его встать на путь криминала? За образом джентльмена скрывается история, ко…
📹 Слендер (2015)
🔈 Жанр: ужасы
➡️ О чём фильм:
Съёмочная группа телеканала отправляется расследовать исчезновение целой семьи. Во время работы журналисты находят коробку старых видеокассет, на которых запечатлены странные появления Слендера — жуткого существа, заметного только через объектив камеры. Стоит им посмотреть записи, как они сами становятся частью кошмара. Теперь Слендер охотится на них, и спрятаться от н…
📹 Факап, или Хуже не бывает (2014)
🔈 Жанр: комедия, приключения
➡️ О чём фильм:
У Тилля, казалось бы, есть всё для счастья: любящая жена, сын, собственный дом, машина и успешная карьера. Но привычная жизнь превратилась в бесконечную череду серых будней, от которых он уже устал. Всё меняется, когда в его жизнь врывается грабитель и берёт его в заложники. Вместо привычной рутины Тилля ждут безумные гонки, бандитские …
📹 Вне времени (2015)
🔈 Жанр: мелодрама, приключения, фантастика, экшн
➡️ О чём фильм:
Во время погружения у Большого Барьерного рифа археолог Джей Финнел получает серьёзную травму и впадает в кому. Пока его жена пытается справиться с бедой, сознание Джея переносится на несколько столетий назад — в тело британского офицера Джеймса Стюарта. Там он встречает прекрасную индианку Туладжу и влюбляется в неё, хотя их отно…
📹 Хранитель луны (2015)
🔈 Жанр: анимация, приключения, фэнтези
➡️ О чём фильм:
На необычной планете день и ночь сменяются вручную, а за Солнцем и Луной следят специальные хранители. Неожиданно эту ответственную роль получает юный фавн Мьюн, но из-за неопытности теряет Луну. Этим тут же пользуется коварный правитель подземного мира Некрос и похищает Солнце. Теперь Мьюну, самоуверенному хранителю Солнца Соонэ и загад…
📹 Песнь моря (2014)
🔈 Жанр: анимация, семейный, фэнтези
➡️ О чём фильм:
Маленькая Сирша живёт с отцом и старшим братом на острове у маяка. Однажды она находит загадочную серебристую шубку и узнаёт, что принадлежит к древнему народу селки — существам, способным превращаться из тюленей в людей. Теперь девочке предстоит раскрыть тайну своего происхождения и спасти волшебный мир, которому грозит исчезновение. Вместе с …
📹 Оно (2014)
🔈 Жанр: мистика, ужасы
➡️ О чём фильм:
После случайной близости с новым знакомым 19-летняя Джей узнаёт, что стала жертвой странного проклятия. Теперь за ней повсюду следует нечто невидимое для остальных — оно может принимать облик любого человека и не остановится, пока не доберётся до девушки. Вместе с друзьями Джей пытается найти способ избавиться от преследователя, пока тот не настиг её.
➡️ Почему с…
📹 Любовь вразнос (2015)
🔈 Жанр: комедия
➡️ О чём фильм:
Флоранс и Винсент когда-то были счастливой семейной парой: у них прекрасный дом, успешная карьера и трое замечательных детей. Но теперь супруги решили развестись. И самое неожиданное начинается тогда, когда оба пытаются избежать опеки над детьми, ведь каждый мечтает начать новую жизнь без семейных обязательств.
➡️ Почему стоит посмотреть:
Французская комедия …
📹 Шальная карта (2015)
🔈 Жанр: драма, криминал, триллер
➡️ О чём фильм:
Ник Уайлд работает телохранителем в Лас-Вегасе и пытается справиться с игровой зависимостью. Когда неизвестные жестоко избивают его подругу, он решает найти виновных и отомстить. Поиски приводят Ника в опасный мир мафии и криминальных разборок, где ему приходится использовать все свои навыки, чтобы выжить.
➡️ Почему стоит посмотреть:
Криминаль…
📹 Спасатели (2014)
🔈 Жанр: анимация, приключения
➡️ О чём фильм:
Обезьянка Пинат и поросёнок Дигг живут на тропическом острове, которому грозит затопление. Понимая, что их родной дом может вскоре исчезнуть под водой, необычные друзья отправляются на поиски способа спасти остров и всех его обитателей.
➡️ Почему стоит посмотреть:
Добрый приключенческий мультфильм о дружбе, взаимовыручке и заботе о родном доме. Истор…
📹 Кто там (2015)
🔈 Жанр: триллер, ужасы
➡️ О чём фильм:
Архитектор Эван Веббер остаётся дома один на выходные, пока его жена и дети уезжают на отдых. Однажды вечером в дверь стучат две незнакомые девушки, которые просят помочь им найти дорогу на вечеринку. Эван впускает их в дом, даже не подозревая, что обычное проявление гостеприимства обернётся для него настоящим кошмаром.
➡️ Почему стоит посмотреть:
Напряжённый…
📹 Первому игроку приготовиться (2018)
🔈 Жанр: Экшн, Приключения, Фантастика
➡️ О чём фильм:
В 2045 году люди уходят в виртуальный мир Оазис, чтобы убежать от проблем реальности. После смерти создателя игры, мультимиллиардера Джеймса Холлидэя, начинается борьба за его наследство, и молодой Уэйд Уоттс вступает в опасное приключение, полное головоломок, ловушек и виртуальных сражений.
➡️ Почему стоит посмотреть:
Зрел…
👍5🔥2
Showing the 12 most recent of 1,048 posts we hold for @kino_online3. 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.
Mentions
Named by 11 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Киношка на вечер🍿” (@kino_online3), 161,092 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/kino_online3.
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.