Telegram RegisterThe public register of Telegram

Channel

Иван Вдовин | МАССКУЛЬТ

@featuredoc

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

412subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001507694299
TypeChannel
Username@featuredoc
Created11 March 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live7 August 2026
Measurements held2
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/featuredoc

Growth

4126 Aug 2026, 21:17 — 412 subscribers7 Aug 2026, 03:45 — 412 subscribers6 Aug 2026, 21:177 Aug 2026, 03:45
2 measurements taken within a single day. 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 411–413 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 03:45412no change
6 Aug 2026, 21:17412first reading

Engagement

8 posts held, back to 22 June 2026the 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 · 30 days
42.7%
avg views ÷ 412 subscribers
Avg views / post
176
2 posts measured
Reaction rate
3.98%
reactions ÷ views · ER floor
Posts in window
2
of 8 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
WindowRolling 30 days · latest post in window 31 July 2026
Posts held8 (22 June 202631 July 2026)
Views total352
Reactions total14
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 21:17 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.

Reaction mix

56 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 55.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3155.4%
💯1017.9%
👍712.5%
🔥610.7%
👏11.79%
😁11.79%

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 56reactions 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 22 June 2026 to 31 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.

Recent posts

31 Jul 2026, 10:43 UTC182 views9 reactionsread 6 August 2026
Photo

Ищу второго режиссера на свой документальный сериал «Перемена». Проект посвящен молодым школьным учителям, съемки по всей России - от Питера до Камчатки. Первый съемочный блок - конец августа - начало сентября. Заключительный - май - июнь (конец учебного года). Присылайте свои резюме на почту ivdovin@yandex.ru

7👍2

23 Jul 2026, 15:09 UTC170 views5 reactionsread 6 August 2026
Photo

Вот удивительно, что есть хоть где-то, хоть когда-то, хоть у кого-то совесть. Не отсутствие совести удивительно, а то, что она есть; не отсутствие чести удивительно, а то, что она есть; не отсутствие морали удивительно, а то, что она все-таки есть. Удивительно то, что есть нечто – под которым понимается порядок, нечто упорядоченное, – а ведь должен был быть хаос. Мераб Мамардашвили

5

13 Jul 2026, 10:43 UTC196 views7 reactionsread 6 August 2026
Forwarded from @a_talentagencyVideo

15 июля состоится премьера документального киноальманаха Северсталь «Разные люди. Один выбор» 🎬 Художественный руководитель проекта — режиссёр Иван Вдовин (A-Talent) 🎥 Оператор — Николай Романков (A-Talent) Компания «Северсталь» представит цикл из пяти короткометражных документальных фильмов о сотрудниках Череповецкого металлургического комбината. Проект рассказывает не столько о масштабах производства, сколько о

🔥5👍2

5 Jul 2026, 18:18 UTC206 views11 reactionsread 6 August 2026
Photo

Последнее время думаю, что сегодня самый реалистичный жанр — психологический триллер. Не потому, что вокруг стало больше маньяков, заговоров и людей с тёмными тайнами. А потому, что сама реальность всё чаще устроена по законам тревожного кино. Мы не до конца понимаем, кому верить. Не успеваем отличить правду от убедительной подделки. Каждый день наблюдаем, как привычная картина мира распадается, а на её месте возни

💯10🔥1

3 Jul 2026, 18:39 UTC152 views4 reactionsread 6 August 2026
Forwarded from @soundguyschannelVideo

Всем привет, друзья! Вспомнилось в связи с текущим пост продакшеном. Когда режиссёр проекта «Земля виноделов» Иван Вдовин, очень любит съёмки интервью в красивом месте - моя задача это интервью записать😎 #буднизвукорежиссёра #чистоваяфонограмма #звукнаплощадке #cinela #schoepsminicmit

3😁1

26 Jun 2026, 15:30 UTC183 views9 reactionsread 6 August 2026
Forwarded from @sciencefilmsPhoto

«За что вы любите документальное кино?»🎬 24 июня в Музее Криптографии прошла еще одна лекция публичной программы «Лаборатории научного кино 2.0: ЦИФРОВЫЕ ПОТОКИ». В этот раз спикером выступил режиссёр, сценарист и продюсер документального кино — Иван Вдовин. На лекции, посвященной киноязыку в современном документальном кино, Иван, подсветил важный профессиональный ⚡️вызов: Ваш фильм/сериал борется за внимание со в

5👍3👏1

24 Jun 2026, 20:26 UTC160 views9 reactionsread 6 August 2026
Photo

Вторая лекция на тему киноязыка в документалталистике продлилась два часа, вместо запланированного часа. Возможно, дело в большом количестве вопросов от слушателей. Или в том, что темпоритм на экране и в жизни - совсем не одно и то же. Тем не менее, зал был полон молодых режиссеров, которым хотелось дать больше веры в то, что «док» и «голод» это не всегда синонимы)

9

22 Jun 2026, 12:27 UTC159 views2 reactionsread 6 August 2026
Forwarded from @sciencefilmsPhoto

В преддверие ближайшей лекции Ивана Вдовина "Киноязык в современном документальном кино", которая проходит в рамках образовательной программы нашей кинолаборатории и состоится уже в эту среду в 18.30, делимся кадрами из знаковых фильмов и сериалов, снятых Иваном: 🔘"Закура" Закуре 7 лет, она жизнерадостный, открытый ребенок. Ее мечта - иметь собственного ягненка. Через несколько лет отец должен продать ее в жены за п

2

Showing the 8 most recent of 8 posts we hold for @featuredoc. 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

Citation-graph rank — 1,026,452 of 1,160,990entries 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

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 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.

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 August 2026 — this entry's latest reading, not the date you are reading this.

“Иван Вдовин | МАССКУЛЬТ” (@featuredoc), 412 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/featuredoc.

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.