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Channel

Театр-тренинг Елены Кузиной Theater_Training

@theater_training

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

313subscribers

-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-1001915241931
TypeChannel
Username@theater_training
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/theater_training

Growth

313314313.57 August 2026 — 314 subscribers8 August 2026 — 314 subscribers14 August 2026 — 313 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, 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 313–314 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 22:16313-1
8 Aug 2026, 07:35314no change
7 Aug 2026, 17:51314first reading

Engagement

12 posts held, back to 17 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
29.2%
avg views ÷ 313 subscribers
Avg views / post
91.5
4 posts measured
Reaction rate
10.4%
reactions ÷ views · ER floor
Posts in window
4
of 12 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 4 August 2026
Posts held12 (17 June 20264 August 2026)
Views total366
Reactions total38
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 07:35 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
6m 48s
Average length
3m 24s

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

113 reactions across 11 posts, in 7 distinct kinds. The most used accounts for 38.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4438.9%
🔥4035.4%
❤‍🔥1311.5%
👍87.08%
👏43.54%
😁21.77%
🥰21.77%

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 11 of the 12 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 113reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 17 June 2026 to 4 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.

Recent posts

4 Aug 2026, 13:29 UTC61 views2 reactionsread 8 August 2026

Чтобы добыть энергию в монологах Шекспира актеру надо проделать тяжелую работу - тело должно быть включено не на 100, а на 120-200-300 процентов. Поэтому, исследуя партитуру психологических жестов, мы с актерами занимаемся изнурительными тренингами с палками. Когда партитура открыта (ее надо именно открыть, а не придумать!), можно психологические жесты спрятать, "завуалировать" - как говорил Михаил Чехов. Палки могут

🥰2

4 Aug 2026, 13:29 UTC40 views8 reactionsread 8 August 2026
Forwarded from @chekhovcenterVideo

Монолог — это не заучка. Это твой диалог с миром, когда никто не прикроет спину. Здесь не спрячешься за партнёра или декорации. Остаёшься только ты, текст и тишина. Запись монолога на камеру крупном плане. Почему именно такое упражнение? — камера не врёт. Она видит твоё воображение раньше, чем ты сам его осознаешь. — Она ловит тот самый «психологический жест», о котором говорил Чехов, — когда тело говорит громче сл

6😁2

3 Aug 2026, 14:41 UTC131 views15 reactionsread 8 August 2026

Снимать тренинги сложно: с одной стороны, нужно снять выразительно и внятно, с другой, важно, чтобы участники были погружены в упражнения, а не показывали бы движения. Анне Санковской, студентке курса режиссеров кино ИСИ, это по-моему удалось, именно потому что она три года училась у нас с Дамиром Бахтиевым и сама прошла через интенсивные актерские тренинги. Я предложила ей снимать "как бог на душу положит", веря, чт

9👍4❤‍🔥2

3 Aug 2026, 14:18 UTC134 views13 reactionsread 8 August 2026

https://youtu.be/FtCaHy-VIrg По ссылке можно посмотреть 6-минутный фильм, снятый Анной Санковской (моя студентака из ИСИ) во время тренинга во ВГИКе.

🔥84❤‍🔥1

22 Jun 2026, 10:35 UTC166 views15 reactionsread 8 August 2026

https://www.youtube.com/live/0gAFir8QuW4?si=XknVrso7KqgLfFMH

9🔥6

20 Jun 2026, 09:53 UTC158 views16 reactionsread 8 August 2026
Video

Выстрел из лука - классический биомеханический этюд 📇. Мои студенты исполняют каноном. Под «Первый дельфийский гимн Аполлону». Вчера на экзамене 1 курса во ВГИКе

🔥11👍41

18 Jun 2026, 13:46 UTC186 viewsread 8 August 2026

Буду благодарна за обратную связь - комментарии

17 Jun 2026, 17:24 UTC176 views9 reactionsread 8 August 2026

Это мой тренинг на конференции по пантомиме в Школе Райкина (Москва)

🔥5👏4

17 Jun 2026, 17:23 UTC174 views9 reactionsread 8 August 2026

https://youtu.be/7PYJN0ciEOg?si=FnyyY8rJZzwTkRFE

6🔥3

17 Jun 2026, 16:21 UTC141 views9 reactionsread 8 August 2026
Photo

Photo, posted without a caption

❤‍🔥71🔥1

17 Jun 2026, 16:21 UTC128 views12 reactionsread 8 August 2026
Photo

Биомеханика графична и фотогенична. Готовимся к экзамену по мастерству. ВГИК. 1 курс. Фото Бажена Яркина

8❤‍🔥3🔥1

Showing the 12 most recent of 12 posts we hold for @theater_training. 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.

Forward network

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.

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

“Театр-тренинг Елены Кузиной Theater_Training” (@theater_training), 313 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/theater_training.

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.