Channel
@films_future
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
237subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002546407486 |
|---|---|
| Type | Channel |
| Username | @films_future |
| Description | Во всех этих фильмах есть ощущение конца эпохи – даже если сюжет об этом напрямую не говорит. Как будто мир уже немного разрушен, и герои существуют в его остаточном свете. @Artemterentev92 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/films_future |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 02:45 | 237 | no change |
| 6 Aug 2026, 18:02 | 237 | first reading |
20 posts held, back to 5 May 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 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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 July 2026 |
|---|---|
| Posts held | 20 (5 May 2026 – 29 July 2026) |
| Views total | 263 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 02:45 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.
Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
132 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 62.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 82 | 62.1% | |
| ❤🔥 | 17 | 12.9% | |
| 🔥 | 14 | 10.6% | |
| ✍ | 6 | 4.55% | |
| 💋 | 4 | 3.03% | |
| 💯 | 4 | 3.03% | |
| 🤡 | 2 | 1.52% | |
| 👍 | 1 | 0.758% | |
| 🖕 | 1 | 0.758% | |
| 🙏 | 1 | 0.758% |
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 17 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 132reactions 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 5 May 2026 to 29 July 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.
Фильмы, про которые думаю – 3 Дикие мальчишки (2017) Бертрана Мандико – это потрясающее штучное кино, которое я рекомендую всем, и о котором невозможно не думать. Но есть ракурс, в котором этот фильм стоит для меня особняком и который я хочу раскрыть: для меня это редкий пример круто сделанного политического кино. И вот тут начинаются вопросы. Фильм вызывает по меньшей мере тревогу при разговоре о его политическом …
✍3❤🔥2❤1👍1🖕1
Photo, posted without a caption
Backrooms (2026) Кейн Парсонс Не-места, описанные Марком Оже в 1992 году – аэропорты, автозаправки, торговые центры, сетевые кафе и другие пространства транзита – в 90-е стали универсальным образом глобализирующейся современности. Для поколения, выросшего на рубеже веков, именно эти пространства оказались фоном детства и первым опытом встречи с «будущим». Спустя два десятилетия Марк Фишер в книгах Ghosts of My Life …
❤5💯2
Моя жена плачет (2026) Ангела Шанелек Кино для Ангелы – строгая наука. У ее фильмов высокий порог входа. Сложно полюбить истории рассказанные в ее фильмах (sic!), но можно – семантические конструкции их обрамляющие. Каждый кадр здесь – отдельное произведение требующее к себе соответствующего внимания. И чем проще этот кадр на первый взгляд, тем тоньше удовольствие которое может дать его аналитическое созерцание. В …
❤8❤🔥2
«Режиссер у порога: практика и метод». 11 июля, 13:00 – вторая встреча-прогулка лаборатории на острове Новая Голландия. Как находить и снимать переходность? На второй встречи лаборатории мы обсудим взгляд человека за камерой. Как поймать и как смотреть на объект через объектив? Встреча будет состоять из двух частей: Первая – дискуссионная: узнаем про режиссерские практики Артема Терентьева и обсудим тонкости работы…
❤6
Уже завтра. Кажется назревает две генеральных линии беседы: методологическая (в частности задевающая глубоко онтологический вопрос "Что такое камера?") и линяя натяжения между вечными (пленка, синефилия) и современными визионерскими и кроссжанровыми подходами. Регистрация уже закрыта, но вы все-равно приходите - решим вопрос
❤3
Foreign Travel (2026) Тед Фендт Фильм завершает своеобразную трилогию, начатую в Classical Period (2018) и продолженную Outside Noise (2021). Их объединяет мотив внутренней эмиграции, путешествия без путешествия, изменения без (видимого) изменения и литературный акцент. Новый фильм такой же высокородный и современный как предыдущий, хотя на мой вкус все-таки менее живой и неповторимый. Фендт, когда то совместивший в…
❤1
Фильмы, про которые думаю – 2 Внешний шум (2021) Теда Фендта для меня возможно главный фильм 20х годов на данный момент, по крайней мере в том что касается ухватывания материи современности без отказа от классической киноматерии. Что же делает «Внешний шум» таким особенным жемчужным переживанием? Я думаю, что в первую очередь то, что у Теда не дрогнула рука в естественном желании добавить в свой фильм драматургическ…
❤5✍2❤🔥1
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Фильмы, про которые думаю - 1 Начал цикл показов с фильма «Призрак» (1922) Ф. В. Мурнау, который без малого сто лет считался утерянным. Первый показ был для одного меня: история о несостоявшемся поэте, которого сбивает белая лошадь, а та что ею управляла завладевает его помыслами, после чего он начинает входить не в те двери и совершает преступление, запутываясь в мире капитала, из-под которого вырвано основание. Ду…
❤4❤🔥1💋1
Photo, posted without a caption
Они думают что они в киноиндустрии, но на самом деле они в аду Что-то подобное говорил в частной беседе несколько лет назад, но даже опуская контекст готов подписаться под каждым словом. Кино в аду – это питчинг проекта перед […] деловыми людьми, пихание в смету 150 человек на площадке и принятый между ними тип отношений, который я бы назвал […] Ну вы поняли. В том же аду и битая тарелка, и сценарий-американка, и му…
❤🔥8❤5
Showing the 12 most recent of 20 posts we hold for @films_future. 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 — 89,749 of 1,345,403entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Леопарды будущего” (@films_future), 237 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/films_future.
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.