Telegram RegisterThe public register of Telegram

Channel

Актёрский дневник

@justactor

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

263subscribers

-1 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003964192496
TypeChannel
Username@justactor
DescriptionЯ Артём Зиновьев. Проф.актёр (РГИСИ, курс С.Д.Бызгу). Это мои заметки о профессии, сфере театра и кино. связь: @zarteemlive
CreatedBetween 1 April 2026 and 3 July 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
On Telegramt.me/justactor

Growth

263264263.57 Aug 2026, 08:47 — 264 subscribers8 Aug 2026, 00:01 — 263 subscribers8 Aug 2026, 09:03 — 263 subscribers7 Aug 2026, 08:478 Aug 2026, 09:03
3 measurements spanning 1 day, net -1. 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 263–264 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 09:03263no change
8 Aug 2026, 00:01263-1
7 Aug 2026, 08:47264first reading

Engagement

10 posts held, back to 3 July 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
58.0%
avg views ÷ 263 subscribers
Avg views / post
153
2 posts measured
Reaction rate
2.62%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 23 July 2026
Posts held10 (3 July 202623 July 2026)
Views total305
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 09:03 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
41
Videos
22
Links
7

Lifetime counters from Telegram’s own channel header, read 8 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.

Video runtime
15m 14s
Average length
5m 05s

Measured directly from 3 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

38 reactions across 10 posts, in 4 distinct kinds. The most used accounts for 44.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1744.7%
🔥1026.3%
👏923.7%
👍25.26%

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 10 of the 10 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 38reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 3 July 2026 to 23 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

23 Jul 2026, 07:56 UTC120 views4 reactionsread 8 August 2026
Photo

переходим на третий курс — отрывки. я про второй рассказал маловато, потому что идейно он весь состоял в наблюдениях. то есть, чтобы играть роли, вам необходимо сначала понять, как вообще, и на чём эта роль строится. для этого вы наблюдали за людьми и носили на них пробы. вот, welcome — роли. делаем первые шаги.

4

17 Jul 2026, 12:22 UTC185 views4 reactionsread 8 August 2026
Video

музыкальное наблюдение. это наблюдение за артистом, которое имеет много общего с моделью передачи ощущения от человека, как в вербатимах. практически на любом курсе театрального института проходят музыкальные наблюдения, только где-то они в извращённой форме синхробуфа (открывание рта под фотограмму). мы старались в большинстве проб делать живой звук, подбирая аранжировки. такая проба сразу выглядит проработанно и

4

10 Jul 2026, 19:27 UTC219 views6 reactionsread 8 August 2026
Video

вербатим. это наблюдение за человеком с примесью собственного ощущения. задача — рассказать голосом наблюдаемого его же историю. важно найти внешнее сходство по одежде, мимике, жестикуляции и прочим нюансам. это очень важное упражнение, которое в дальнейшем помогает "снимать" разных персонажей с обычных людей, беря их в основу ролей. *проф.деформация: я спокойно, и даже с интересом общаюсь со всякими бомжами и мор

6

7 Jul 2026, 18:15 UTC236 views1 reactionsread 8 August 2026
Photo

рубрика: вопросы из любимого threads 1. Что делать уже сейчас, чтобы в будущем стать хорошей актрисой? 2. Какие качества Вы больше всего цените в актёрах? 3. На что Вы в первую очередь обращаете внимание на кастинге? 4. Какие ошибки чаще всего совершают начинающие актёры? 5. Как справляться с отказами, и не терять мотивацию? 6. Какие книги, фильмы или упражнения Вы бы посоветовали будущей актрисе? отвечаю: 1. снима

🔥1

6 Jul 2026, 11:54 UTC235 views2 reactionsread 8 August 2026
Photo

переходим во второй курс — наблюдения. если целью первого было познание себя и внутренних кнопок, то задача второго — научиться натягивать кожу другого человека. наша работа над наблюдениями была разделена на два этапа: вербатимы и музыкальные. про каждый расскажу подробнее дальше. 1. больше наблюдайте за другими людьми: мимика, манера речи, голос, говор, поведение. 2. попробуйте поиграть в своего любимого актёр

🔥2

5 Jul 2026, 16:05 UTC192 views2 reactionsread 8 August 2026

Методичка помогла нам, как начинающим, правильно записывать визитки, разобраться какие фотографии нужно отсылать и что должно быть постоянно под рукой , чтобы быстро реагировать на кастинг. Очень ценная информация- это ссылки на кастинг-директоров и ссылки на сами кастинги, очень экономит время.

🔥2

5 Jul 2026, 14:30 UTC185 views3 reactionsread 8 August 2026

Методичка была полезной, какую-то информацию я уже знала (из курсов по актерскому мастерству), но также пригодилось, как записывать визитку, какие вещи надевать и т.д. Особенно помогли каналы с кастрнгами, нашла там много проектов. Снялась в эпизоде со словами в сериале, а также в качестве дублерши главной героини (играла на фортепиано вместо неё). Советую всем, кто хочет, но не знает, с чего начать, приобрести мето

🔥3

5 Jul 2026, 14:29 UTC194 views2 reactionsread 8 August 2026

прилетели отзывы на мой гайд по тому, как быстро попасть в кино. заявок очень много, рад, что вы интересуетесь этой темой — мы делаем индустрию лучше!

👍2

4 Jul 2026, 05:02 UTC218 views11 reactionsread 8 August 2026
Photo

моя история. 5. РГИСИ. мне 17. какой смысл был расплёскивать энергию, заложенную в материал, на мастеров набора, если я никого не знал? выбрал того, к кому больше всего заявок, — Бызгу. денег на платку, либо на "золотую пятёрку" Москвы не было. из-за дистанционных заявок на творческие консультации, я, готовя гречку, увлёкся, и пропустил "окно регистрации", попав уже, спустя месяц, сразу на первый тур. ты какая-т

👏9🔥2

3 Jul 2026, 05:00 UTC147 views3 reactionsread 8 August 2026
Photo

моя история. 4. Обычная школа. из-за того, что в Филатова на обычные уроки отводилось меньше времени, чем в школах, меня не хотели брать в 11 класс, но, написав экзамен за 10й, всё-таки взяли. в школе меня все считали "человеком из взрослой жизни", так как я перешёл к ним из колледжа, да ещё и Московского театрального. из-за бороды другие школьники меня часто принимали за нового учителя. когда все выбирали нескол

3

Showing the 10 most recent of 10 posts we hold for @justactor. 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 — 234,741 of 1,478,351entries 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.

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

“Актёрский дневник” (@justactor), 263 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/justactor.

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.