Техподдержка, ошибочные списания. Напишите в бот → @OkkoSupportBot
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Коротко о премьерах → https://t.me/okko_premieres
Всё о спорте в Okko → https://t.me/okkosport
Реестр РКН: https://okko.tv/s/nh9
Created
16 December 2015 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 9 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 why it has no browse page of its own yet.
Growth
8 measurements spanning 6 days, net -1,192. 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 119,797–121,347 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 22:43
119,976
-145
10 Aug 2026, 23:18
120,121
-312
9 Aug 2026, 21:12
120,433
-497
8 Aug 2026, 21:50
120,930
-71
8 Aug 2026, 01:00
121,001
-51
7 Aug 2026, 00:10
121,052
-116
6 Aug 2026, 01:32
121,168
no change
5 Aug 2026, 23:13
121,168
first reading
Engagement
30 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
3.82%
avg views ÷ 119,976 subscribers
Avg views / post
4,580
30 posts measured
Reaction rate
1.74%
reactions ÷ views · ER floor
Posts in window
30
of 30 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 12 August 2026
Posts held
30 (4 August 2026 – 12 August 2026)
Views total
137,389
Reactions total
2,395
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 18:21 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
Photos
≈22,700
Videos
≈2,310
Links
≈7,720
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
6m 56s
Average length
1m 23s
Measured directly from 5 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
2,207 reactions across 27 posts, in 18 distinct kinds. The most used accounts for 43.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
958
43.4%
🔥
567
25.7%
❤🔥
229
10.4%
👍
176
7.97%
😁
85
3.85%
👎
34
1.54%
👏
32
1.45%
🗿
26
1.18%
😍
16
0.725%
⚡
15
0.68%
💘
15
0.68%
🤩
15
0.68%
😭
13
0.589%
🎉
12
0.544%
🙈
6
0.272%
😢
5
0.227%
😈
2
0.091%
😇
1
0.045%
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 30 of the 30 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 2,395reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 4 August 2026 to 12 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.
⚡️ ГЛАВНЫЕ КИНОНОВОСТИ ДНЯ:
💜На Лазурном берегу начали снимать приквел «Одиннадцати друзей Оушена» про родителей Дэнни Оушена. Режиссёр — Брэдли Купер.
💜Николас Холт сыграет Златопуста Локонса. Это случится во втором сезоне «Гарри Поттера», который охватит события «Тайной комнаты».
💜Режиссёр «Пианистки» Михаэль Ханеке вышел на пенсию. Это подтвердил его бывший ученик.
💜 12 августа пройдёт Суперкубок УЕФА 2026. «П…
☀️ Лето будет длиться ещё целых 19 дней! Надо насладиться этим временем по полной программе!
Собрали несколько фильмов для вдохновения.
Включайте в Okko! ❤️
👑 ПРЕМЬЕРА НОВОГО СЕЗОНА «13 КАРТ» УЖЕ СЕГОДНЯ НОЧЬЮ!
А пока ждём релиз в Okko, вот вам эксклюзив — тизерный отрывок первой серии!
Обсудим в комментариях?
😆 Следи за Okko в Telegram
Тестируем рубрику. Каждый вечер редакция собирает в одном сообщении главные новости из мира кино.
Как вам формат?
🔥 – класс, буду читать!
🗿 – вряд ли буду читать
⚡️ ГЛАВНЫЕ КИНОНОВОСТИ ДНЯ:
💜Фанаты Гарри Поттера не дали проложить силовой кабель через пляж Фрешуотер-Уэст в Уэльсе, потому что там находится «могила Добби».
💜Вышел трейлер и постер «БОЛЬШОЙ ФАРМЫ»
💜Альфонсо Куарон разрабатывает для Apple TV многосерийный триллер со звездой «Чужестранки» Катриной Балф.
💜Скончалась советская актриса и балерина Наталья Трубникова, известная по роли принцессы Мелисенты в фильме «3…
«БОЛЬШАЯ ФАРМА» заставила задуматься не о лекарствах как таковых, а о том, что фармацевтика — это огромные деньги, амбиции и человеческие интересы, которые могут возникать вокруг большого научного открытия.
Ольга Лерман — героиня новой обложки GRAZIA!
Читайте свежее интервью о «БОЛЬШОЙ ФАРМЕ», отношению к медицине и лекарстве от плохого настроения.
😆 Мы в MAX | Смотрите Okko прямо сейчас
💊 Не забывайте принимать витамины
Прописываем вам курс – Сергей Горошко в «БОЛЬШОЙ ФАРМЕ» по 1 серии раз в неделю с 27 августа.
Не является лекарственным средством. Перед применением проконсультируйтесь с врачом
🧪 БИЗНЕС, ОПАСНЫЙ ДЛЯ ЗДОРОВЬЯ
Разглядываем постер «БОЛЬШОЙ ФАРМЫ» с Сергеем Горошко, Светланой Ходченковой и Антоном Васильевым!
Учёный Александр Гиреев создаёт лекарство от рака, которое может спасти миллионы жизней. Но появление панацеи грозит большими убытками фармацевтическим корпорациям. Просто так они это не оставят. Сможет ли семья сплотиться перед трудностями? Или развалится из-за разногласий?
Сценарий: О…
⚡️ Сериал «БОЛЬШАЯ ФАРМА» — 27 августа в Okko. Смотрим трейлер!
В ролях: Сергей Горошко, Ольга Лерман, Игорь Гордин, Сергей Уманов, Антон Васильев, Наташа Бардо, Светлана Ходченкова, Алёна Хмельницкая, Дмитрий Ендальцев и другие.
Okko x Sreda
😆 Мы в MAX | Смотрите Okko прямо сейчас
💥 «МАЙКЛ» — самый кассовый зарубежный фильм последних лет в российском прокате!
Сборы байопика о Майкле Джексоне превысили 2,1 млрд рублей, обойдя «ГОРНИЧНУЮ» и третью часть «ИЛЛЮЗИИ ОБМАНА».
В десятке также хоррор-хит «ОБСЕССИЯ», который совсем скоро выйдет в подписке Okko.
😆 Мы в MAX | Смотрите Okko прямо сейчас
🔥56👍20❤19👎4
Showing the 12 most recent of 30 posts we hold for @okkomovies. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 30 most recent posts we hold, published 4 August 2026 to 12 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 446 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.
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 94 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Плюс Медиа @plus_yndx · 257,416 Telegram ranks this channel #43 of 94 here — alongside 93 others — read 10 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
3 Wikipedia articles name this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Паль, Александр Владимирович(ru.wikipedia.org) “…детском лагере «Золотая рыбка» в Самарской области{{Cite web|url=https://t.me/okkomovies/22218|title=Okko Кино|website=Telegram|access-date=2026-07-14}}…” read 9 August 2026
Постучись в мою дверь в Москве(ru.wikipedia.org) “…февраля 2026 года[https://t.me/okkomovies/25415 Сериал уходит на новогодний перерыв] {{Wayback|url=https://t.me/okkomovies/25415 |date=20251223001335…” read 9 August 2026
Паль Олександр Володимирович(uk.wikipedia.org) “…таборі «Золота рибка» у Самарській області.[https://t.me/okkomovies/22218]{{Cite web |url=https://t.me/okkomovies/22218?single |title=Okko Кино |website=Telegram…” read 9 August 2026
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 11 August 2026 — this
entry's latest reading, not the date you are reading this.
“Okko Кино” (@okkomovies), 119,976 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/okkomovies.
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.