Channel
@kiselevacinema
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
526subscribers
+10 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001519605359 |
|---|---|
| Type | Channel |
| Username | @kiselevacinema |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/kiselevacinema |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 13:19 | 526 | +2 |
| 31 Aug 2026, 01:04 | 524 | +1 |
| 23 Aug 2026, 19:35 | 523 | +2 |
| 16 Aug 2026, 02:47 | 521 | +5 |
| 6 Aug 2026, 20:04 | 516 | no change |
| 6 Aug 2026, 19:52 | 516 | first reading |
8 posts held, back to 26 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 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 8 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
62 reactions across 8 posts, in 7 distinct kinds. The most used accounts for 43.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 27 | 43.5% | |
| 🔥 | 27 | 43.5% | |
| ✍ | 2 | 3.23% | |
| 🙏 | 2 | 3.23% | |
| 🦄 | 2 | 3.23% | |
| ⚡ | 1 | 1.61% | |
| 🥰 | 1 | 1.61% |
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 8 of the 8 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 62 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 26 July 2026 to 6 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 кино все так зыбко. Вот, к примеру, я не знаю, где граница между мокьюментари-жанром и мокьюментари-методом. Но это и завораживает. В преддверии лекции о мокьюментари в Лабе ловите ссылки: 🔸 Статьи «Mocumentary: история вопроса» (журнал Сеанс) «Подделай сам» (Коммерсантъ) 🔸 Фильмы «Военная игра», реж. Питер Уоткинс, 1965 г. «Зелиг», реж. Вуди Аллен, 1983 г. «Первые на Луне», реж. Алексей Федорченко, 2005 г. …
❤7
Последняя лекция этого сезона близко!🎬 Напоминаем, что уже в следующую среду состоится последняя лекция публичной программы Лаборатории в этом сезоне. Советуем пройти регистрацию заранее. Спикером выступит Михаил Местецкий (сценарист, режиссер) О чем будет Лекция? «МОКЬЮМЕНТАРИ: как его использовать в научном кино?» Мокьюментари — это жанр игрового кино, который имитирует документальную съёмку, но при этом расск…
🦄2🔥1
Официальные фото со спиддейтинга в Сколтехе тут :) Фото: Сергей Петрига
🔥6
Вчера был спиддейтинг в нашем любимом Сколтехе :) На фото — половина участников Лабы 2.0, которые приехали знакомиться с учеными. В Лабе этого года сложнее организационная задача, чем в предыдущих, потому что мы взяли много разных тем, и они связанны с разными институтами и компаниями (самое удобно, конечно, в одном институте снимать). Этап знакомства с учеными в итоге растянулся на половину лета. Но к началу август…
❤5🔥4
Дорогие коллеги, особенно продюсеры. В середине сентября у нас питчинг проектов, над которыми наши режиссеры сейчас работают в Лабе. По итогу экспертный совет питчинга выберет лучшие 6 проектов, которые получат гранты на съемки. Но! В разработке проектов много, и наша основная цель - это полноценные презентации. В прошлой Лабе на питчинге был 21 проект, из них 10 мы запустили в съемки, и 7 короткометражных фильмов…
❤5🔥3🙏2
⚡️ У нас небольшие изменения в лекционной программе Лабы. Лекция 5 августа Ангелины Ашман отменяется, а следующая лекция: 12 августа 18:30 Михаил Местецкий Тема: «Мокьюментари: как его использовать в научном кино» Регистрация здесь.
✍2❤2
«Бесконечный день Владимира Каляева» — в конкурсной программе фестиваля «Флаэртиана» 🔥 Фестиваль опубликовал шорт-лист (из 15 фильмов) национального конкурса.
🔥10
Основная мысль Всеволода Коршунова на вчерашней лекции была о том, что есть реальный человек, а есть экранный образ (и в документальном кино тоже), и между ними есть разница. Любой предмет, выхваченный из контекста реальности и помещенный в контекст экрана, становится другим предметом. Лекция была о том, как выстраивать экранный образ героя в документальном и научном кино. ⚡️ И у нас осталось две лекции в рамках обр…
❤8🔥3⚡1🥰1
Showing the 8 most recent of 8 posts we hold for @kiselevacinema. 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.
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 1 registered channel — 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 9 September 2026 — this entry's latest reading, not the date you are reading this.
“Юлия Киселева. О док кино и не только.” (@kiselevacinema), 526 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/kiselevacinema.
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.