Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 23 September 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
7 measurements spanning 62 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 258–265 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 20:39
259
-2
12 Sept 2026, 18:20
261
-1
4 Sept 2026, 07:36
262
-2
27 Aug 2026, 09:28
264
+2
20 Aug 2026, 03:16
262
+1
7 Aug 2026, 13:02
261
no change
7 Aug 2026, 04:18
261
first reading
Engagement
20 posts held, back to 3 February 2022 — 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 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 1 November 2023. An engagement rate over an empty window would be a number about nothing.
Reaction mix
96 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 40.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
39
40.6%
👍
35
36.5%
🔥
18
18.8%
🤩
4
4.17%
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 18 of the 20 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 96 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 3 February 2022 to 1 November 2023, 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
5.00%
1 of 20 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
806
over 1 measured post
Median views · rest
968
over 19 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.
Measured over the 20 most recent posts we hold, published 3 February 2022 to 1 November 2023. 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.
"The Finest Hours" ( "И грянул шторм" ) 2016 год
Страна: #США
В ролях: #ChrisPine #CaseyAffleck #HollidayGrainger #EricBana #BenFoster
Рейтинг IMDB: 6.8
"The Finest Hours" - это захватывающий фильм, вышедший в 2016 году. Фильм основан на реальных событиях и рассказывает о смелых усилиях команды спасателей береговой охраны во время шторма в Новой Англии в 1952 году.
Если вас привлекают фильмы о реальных событиях и …
"50/50" ("Жизнь прекрасна") 2011 год
Страна: #США
В ролях: #JosephGordonLevitt #SethRogen #AnnaKendrick #BryceDallasHoward #AnjelicaHuston
Рейтинг IMDB: 7.6
Это теплая и трогательная история о дружбе, любви и человеческой силе перед лицом болезни. Фильм затрагивает серьезные темы с чувствительностью и искренностью, что делает его как глубоким, так и доступным для всех. Если вас привлекают фильмы, сочетающие в себе …
"Girl in the Basement" ( "Девушка в подвале" ) 2021 год
Страна: #США
В ролях: #JuddNelson #StefanieScott #JoelyFisher #EmilyTopper #KimRosen #EmmaMyrick
Рейтинг IMDB: 6.3
Тревожный и удивительно захватывающий фильм. Очень советую всем посмотреть.
Если вас привлекают фильмы о реальных событиях и психологические драмы, этот фильм может быть интересным выбором.
#драма #триллер #реальныесобытия #психология #жертвенно…
"Nefarious" ( "Нефариус" ) 2023 год
Страна: #США
В ролях: #SeanPatrickFlanery #JordanBelfi #Grifon Aldren
Рейтинг IMDB: 6.4
Фильм надо не смотреть, а слушать. Ведь все, что говорит заключенный на самом деле правда
*PS. *Трейлер в первом комментарии
#триллер
"Heart of Stone" ( "Сердце Стоун" ) 2023 год
Страна: #США
В ролях: #GalGadot #AliaBhatt #JamieDornan #JingLusi #PaulReady #MatthiasSchweighöfer
Рейтинг IMDB: 5.7
Джеймс Бонд нервно курит в сторонке
PS. Трейлер в первом комментарии
#боевик #криминал
"Hors de prix" ( "Роковая красотка" ) 2006 год
Страна: #Франция
В ролях: #AudreyTautou #GadElmaleh #MarieChristineAdam #VernonDobtcheff
Рейтинг IMDB: 7.0
"Hors de prix", известный также как "Priceless" на английском и "Роковая красотка" на русском, это романтическая комедия, выпущенная в 2006 году. Фильм рассказывает историю Ирены, красивой женщины, которая находит свою жизнь в течение долгого времени в зависимости…
"Gisaengchung" ("Паразиты") 2019 год
Страна: #ЮжнаяКорея
В ролях: #SongKangho #LeeSunkyun #ChoYeojeong #ChoiWooshik #ParkSodam #LeeJungEun
Рейтинг IMDB: 8.6
Если вы еще не видели "Паразиты", рекомендую посмотреть его и насладиться захватывающим сюжетом, отличной игрой актеров и глубокими социальными комментариями, которые он содержит.
#драма #триллер #комедия #корейскоекино #Оскар
"The Serpent" ( "Змей" ) 2021 год
Страна: #Великобритания
В ролях: #TaharRahim #JennaColeman #MathildeWarnier #EllieBamber #ApasiriKulthanan #KittyChicha
Рейтинг IMDB: 7.6
Увлекательный драматический триллер, основанный на реальных событиях. Фильм рассказывает историю серийного убийцы и его подельников, которые действовали в 1970-х годах.
PS. Трейлер в первом комментарии
#биография #криминал #триллер #драма #дете…
Хотите получать вдохновение и идеи для своего следующего путешествия?
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Мы поделимся с вами самыми красивыми и удивительными местами по всему миру, предоставим эксклюзивные советы для путешествий, и поможем вам спланировать ваш следующий незабываемый отпуск.
От…
"Dziewczyny z Dubaju" ( "Эскортницы" ) 2021 год
Страна: #Польша
В ролях: #PaulinaGalazka #KatarzynaSawczuk #LucaMolinari #BeataScibakówna #KatarzynaFigura #OlgaKalicka
Рейтинг IMDB: 4.9
Неплохой фильм о тяжёлой жизни девушек-эскортниц. Фильм заслуживает внимания, хоть и имеет очень маленький рейтинг
PS. Трейлер в первом комментарии
#драма #криминал
🔥6❤2🤩1
Showing the 12 most recent of 20 posts we hold for @filmforevening. 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. 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 20 most recent posts we hold, published 3 February 2022 to 1 November 2023. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@filmforevening named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@tourlikealocal named in 1 post, 8 August 2026 – 8 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 7 October 2026 — this
entry's latest reading, not the date you are reading this.
“Кино на вечер” (@filmforevening), 259 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/filmforevening.
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.