4 measurements spanning 6 days, net -5. 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 3,198–3,205 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 14:27
3,199
-1
9 Aug 2026, 18:44
3,200
-3
6 Aug 2026, 14:30
3,203
-1
6 Aug 2026, 04:49
3,204
first reading
Engagement
16 posts held, back to 14 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 3 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
65.3%
avg views ÷ 3,199 subscribers
Avg views / post
2,090
14 posts measured
Reaction rate
2.64%
reactions ÷ views · ER floor
Posts in window
14
of 16 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
Window
Rolling 30 days · latest post in window 6 August 2026
Posts held
16 (14 July 2026 – 6 August 2026)
Views total
29,260
Reactions total
772
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 23:42 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
Video runtime
1m 22s
Average length
41s
Measured directly from 2 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
802 reactions across 15 posts, in 19 distinct kinds. The most used accounts for 52.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
424
52.9%
❤🔥
145
18.1%
🔥
133
16.6%
👀
32
3.99%
👏
21
2.62%
🙏
10
1.25%
🏆
6
0.748%
🥰
6
0.748%
😍
5
0.623%
⚡
4
0.499%
💘
4
0.499%
🎉
3
0.374%
🍾
2
0.249%
👌
2
0.249%
🆒
1
0.125%
💋
1
0.125%
💯
1
0.125%
🤩
1
0.125%
🦄
1
0.125%
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 16 of the 16 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 848reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 14 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 16 we hold a reading for · 6%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @postup_theater. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 16 most recent posts we hold for this entry, published 14 July 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
▫️ Список фильмов МШК!
▫️Дорогие друзья! Недавно нам прислали список фильмов, который дала своим вновь поступившим студентам Дарья Мороз!
▫️Список оказался довольно хорошим! По крайней мере, он точно более разносторонний и верный именно для актёров, чем любые (включая ВГИК) ранее попадавшие к нам списки фильмов! А ещё он явно составлен человеком с хорошим чувством вкуса!
▫️Так что, если слухи о том, что Мороз сост…
▫️ Григорий Заславский покинул пост ректора!
▫️По информации на 4 августа 2026 года, Григорий Заславский покинул пост ректора Российского института театрального искусства (ГИТИС).
▫️Министр культуры Ольга Любимова подписала заявление Заславского об увольнении по собственному желанию.
▫️Григорий Заславский занимал должность ректора с 2016 года.
▫️Исполняющей обязанности ректора назначена главный бухгалтер институт…
▫️ Это был очень непростой год…
▫️Об этом не говорил только ленивый! Сегодня мы хотим поздравить от всего сердца тех, кто поступил!
▫️Вы сделали это! Вы прошли через все испытания вступительных экзаменов, бессонные ночи, сотни прочитанных произведений, слёзы, сомнения и страх. И всё равно вышли и сказали: «Я здесь! Я достоин(на)!»
▫️Мы безумно гордимся каждым из вас! Пусть этот первый шаг к большой сцене и в кадр …
▫️🔤🔤🔤 🔤🔤🔤🔤🔤
🔤 🔤🔤🔤🔤 ‼️
▫️Нашу ученицу Еву Темнюк пригласили сразу на 2 курс Московской Школы Кино в Мастерскую Марины Орёл!!!
❤️ Дорогая Ева! Невероятно за тебя рады! Сэкономить целый год и выпуститься на год раньше - это невероятная возможность!!!
❤️ Ты огромная молодец! Навели справки у студентов - Мастерская отличная и Мастер присутствует там с утра до ночи, что просто великолепно!
❤️ Любим Тебя и очен…
▫️🔤🔤🔤🔤 🔤🔤🔤🔤🔤🔤🔤 ‼️
▫️Наша ученица Арминэ Малыхина поступила в Воронежский Государственный Институт Искусств в Мастерскую Юрия Овчинникова!!!
❤️ Дорогая Миночка! Ты огромная молодец! Постоянно поражаемся и завидуем твоему феноменальному упорству! А так же не перестаём восхищаться стойкости и приверженности твоей мечте твоих прекрасных родителей!
❤️ Никогда не сдавайся! Не останавливайся на достигнутом! Верь в себя…
❤️🔥 Буданковцы - ЯГТИ 2031❤️🔥
Мастерская Олега Буданкова
Москва
ЯГТИ им.Ф.Шишигина
Мы в ВК
Мы в TG
▫️А мы, от команды нашего Канала, персонально поздравляем нашего дорогого Андрея Горшкова с поступлением в данную Мастерскую!!! Очень вас любим и невероятно рады за вас! ❤️🔥😘🎉👏
Подписывайся на Наш Канал!
▫️ 🔤🔤🔤 🔤🔤🔤 🔤🔤 🔤🔤🔤🔤🔤🔤🔤🔤🔤 ‼️
▫️У нас невероятная новость! Наша ученица Катя Яковлева, предварительно поступившая в две Мастерских:
🔵Мастерскую Борисенко в ГИТИСе
🔵Мастерскую Мороз в МШК,
решила ни в одну из них не идти…
▫️Её выбор пал на другой ВУЗ, на актёрский факультет которого она поступила ещё в мае, и который находится, скажем так, чуть дальше от Москвы…
▫️И этот ВУЗ… Барабанная дробь… Один из самых…
▫️ Ура! Нас цитируют!
▫️Оказывается ректор ГИТИСа Григорий Анатольевич Заславский в своём TG Канале процитировал наш Пост о Мастере заочного курса Викторе Шамирове!
▫️Кстати, неделю назад совершенно случайно посмотрели одну из киноработ Виктора Валерьевича, фильм «Упражнения в прекрасном», где он выступил как режиссёр, а так же исполнил одну из главных ролей.
▫️Изначально вообще не знали что это его фильм… Выводы …
▫️🔤🔤🔤🔤 🔤🔤🔤🔤🔤🔤🔤 🔤🔤🔤🔤🔤🔤‼️
▫️Наша ученица Устина Голикова поступила в иркутский филиал ВГИКа в Мастерскую Ольги Хохловой на бюджет!!!
▫️Всего лишь три бюджетных места для девочек! И первое же из них заняла Устина!
❤️ Наша дорогая Устиша! Всё, что ты прошла в этом году - немыслимо… Сколько слётов, сколько слёз ты перенесла… И, всё-таки, ты это сделала! Ты смогла! Ты победила!
❤️ Ты настоящий боец!!! Ты терминатор! …
▫️ ИТИ Кобзона. Поступление!!!
❤️ Наша красавица, Маша Лебедева поступила в ИТИ Кобзона в мастерскую Анатолия Горячева!
❤️ Дорогая Машенька! Мы тебя поздравляем!!! Ты проделала огромную работу, преодолела все трудности и добилась желаемой цели!
❤️ Очень любим Тебя! Ты невероятная, талантливая девушка!
Подписывайся на Наш Канал!
▫️🔤🔤🔤🔤🔤 🔤🔤🔤🔤🔤🔤🔤🔤 ➖ 🔤🔤🔤🔤🔤🔤‼️
▫️Наша ученица Ксана Макарова поступила в ГИТИС на факультет Музыкального театра в Мастерскую Петра Борисенко на бюджет!!!
❤️ Ксаночка, мы за тебя невероятно рады! Ты огромная умница и работяга!
❤️ Несмотря ни на что, пожалуйста, добивай оставшиеся Мастерские, тк присутствие выбора - это всегда круто!!!
❤️ Ты это сделала! Урррааа!!! Гордимся и Любим!!! ❤️🔥🎉💋🥰
Подписывайся на Наш К
❤47❤🔥9👏5🔥3💘2
Showing the 12 most recent of 16 posts we hold for @postup_theater. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 115,177 of 1,480,688entries 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
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Names
Channels on the register whose handles appear in this channel's posts.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“Поступаю в Театральный” (@postup_theater), 3,199 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/postup_theater.
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.