Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 38% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
13 measurements spanning 43 days, net -2. 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 7,403–7,432 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 20:37
7,423
-6
13 Sept 2026, 23:41
7,429
+2
10 Sept 2026, 09:40
7,427
+21
4 Sept 2026, 22:36
7,406
-6
1 Sept 2026, 07:07
7,412
-6
25 Aug 2026, 23:34
7,418
+1
23 Aug 2026, 03:59
7,417
+9
19 Aug 2026, 18:18
7,408
-7
16 Aug 2026, 18:24
7,415
+3
13 Aug 2026, 02:26
7,412
-13
9 Aug 2026, 17:23
7,425
-1
6 Aug 2026, 11:30
7,426
+1
6 Aug 2026, 03:22
7,425
first reading
Engagement
31 posts held, back to 2 August 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 16 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.4%
avg views ÷ 7,423 subscribers
Avg views / post
769
10 posts measured
Reaction rate
3.68%
reactions ÷ views · ER floor
Posts in window
10
of 31 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 28 August 2026
Posts held
31 (2 August 2026 – 28 August 2026)
Views total
7,691
Reactions total
283
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 23:13 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
38s
Average length
19s
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
763 reactions across 30 posts, in 20 distinct kinds. The most used accounts for 48.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
372
48.8%
🔥
107
14.0%
👍
89
11.7%
❤🔥
59
7.73%
👏
40
5.24%
😁
31
4.06%
🍾
18
2.36%
🤩
10
1.31%
🥰
8
1.05%
😍
7
0.917%
🎉
6
0.786%
💯
4
0.524%
👻
3
0.393%
🙏
3
0.393%
🎃
1
0.131%
💊
1
0.131%
😡
1
0.131%
😢
1
0.131%
🙊
1
0.131%
🤔
1
0.131%
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 30 of the 31 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 763 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 2 August 2026 to 28 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.
Вчера на подкасте обсуждали знаменитую фразу Ежи Гротовского «режиссёр - это профессиональный зритель». Что лично я вкладываю в это понятие?
Режиссёр должен уметь смотреть на материал не изнутри, а снаружи. Актёр находится внутри сцены, сценарист - внутри истории, оператор думает про изображение. А режиссёр в какой-то момент должен отстраниться от всего и стать зрителем.
Мне важно постоянно задавать себе очень прос…
Родная Академия Wordshop предложила провести открытую лекцию, но у меня вопрос: какую тему выбрать? Про режиссуру и работу с актёрами буду много говорить на лекции в МШНК. Может про сценарное мастерство? Или… ?
Мой вклад в российское кино – не только сериалы и фильмы. Главный вклад, я считаю, – это мои ученики. Их довольно много, с некоторыми до сих пор поддерживаю теплые отношения. 🥂
Лёша Зотов учился у меня на курсе «Сериалы» в академии «Вордшоп» уже сложно посчитать сколько лет назад. За это время он успел стать не только востребованным сценаристом, но и востребованным режиссером – просто потому, что никто не хотел сним…
Поздравлю с днём российского кино!
И приглашаю, по этому случаю, на интересный разговор с нашим выпускником - кинорежиссером Лёшей Зотовым, 8-го сентября:
https://t.me/leshazotov/2777
А на меня подписаны креативные продюсеры/редактора платформ и каналов? Напишите, пожалуйста, мне в личку. У меня появился очень крутой сценарий сериала. Хай-коценпт, почти всё действие в одной локации, жанр драмеди. Готов сценарий первой серии, есть презентация проекта.
@lesha_zotov
И ещё одно выступление: 8 сентября в альма-матер (МШНК/ММУ). Вместе с мастером Ю.В. Муравицким поговорим на тему «зачем кинорежиссёру театральная школа»? Да и много ещё о чём. Тоже приходите
Регистрация тут: https://newcinemaschool.com/ru/events/2026/mur-zotov
Ещё есть места на запись подкаста. Приходите. Это будет в четверг
❤5👍2🔥2
Showing the 12 most recent of 31 posts we hold for @leshazotov. 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.
Posts edited after publishing
@leshazotov edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
19 August 2026
Most recent edit
19 August 2026
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
Named by 7 registered channels — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Валерия Гайя Германика @leragermanica · 23,352 Telegram ranks this channel #9 of 91 here — alongside 90 others — read 18 September 2026
magic.bears casting (кастинги Бориса Ржезака) @Casting_by_magic_bear · 21,790 Telegram ranks this channel #20 of 87 here — alongside 86 others — read 22 September 2026
gogotova_casting @gogotovacasting · 31,463 Telegram ranks this channel #35 of 84 here — alongside 83 others — read 6 September 2026
Кастинги в кино | Анна Денисова и Ася Аристова 🎥 @DenisovaAristovaCasting · 32,619 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 5 September 2026
Boom_casting @boom_casting · 21,138 Telegram ranks this channel #37 of 88 here — alongside 87 others — read 24 September 2026
filmcastanna @filmcastanna · 21,472 Telegram ranks this channel #41 of 88 here — alongside 87 others — read 23 September 2026
Ирина Нашутинская_кастинг @irinanashutinskaya_casting · 23,044 Telegram ranks this channel #44 of 86 here — alongside 85 others — read 19 September 2026
Министерство кастинга @primepeople · 23,619 Telegram ranks this channel #47 of 87 here — alongside 86 others — read 18 September 2026
Новости кинопроизводства @filmres · 37,300 Telegram ranks this channel #49 of 97 here — alongside 96 others — read 1 September 2026
Event hunter - вся творческая работа Москва @mskeventjob · 50,530 Telegram ranks this channel #52 of 92 here — alongside 91 others — read 26 August 2026
ТОП Кастинги от Дени Актеры/Модели/Зрители в шоу/АМС Москва (Клипы/Реклама/Кино/Шоу в ТВ) @top_kasting · 31,599 Telegram ranks this channel #66 of 85 here — alongside 84 others — read 6 September 2026
КАСТИНГИ @kastingi3 · 84,652 Telegram ranks this channel #67 of 86 here — alongside 85 others — read 22 August 2026
Кастинги в Москве @castings · 63,710 Telegram ranks this channel #68 of 87 here — alongside 86 others — read 22 August 2026
Все кастинги тут! @tutcastingi · 23,716 Telegram ranks this channel #69 of 88 here — alongside 87 others — read 17 September 2026
Будни кастинг-директора @APTUCTbI · 22,502 Telegram ranks this channel #70 of 86 here — alongside 85 others — read 20 September 2026
КАСТИНГИ FaceToFace @facetofacema · 21,516 Telegram ranks this channel #72 of 79 here — alongside 78 others — read 23 September 2026
Кастинги для детей в Москве @kidscasting · 23,754 Telegram ranks this channel #74 of 83 here — alongside 82 others — read 17 September 2026
ТАТА_cast @tatazalinyan_cast · 27,989 Telegram ranks this channel #76 of 86 here — alongside 85 others — read 10 September 2026
Кастинги Москва @kastingi2 · 110,050 Telegram ranks this channel #76 of 89 here — alongside 88 others — read 22 August 2026
Кастинги Гильдии кастинг-директоров @castgcd · 33,607 Telegram ranks this channel #77 of 88 here — alongside 87 others — read 4 September 2026
КАСТИНГИ Fancy People @fancypeolechannel · 23,108 Telegram ranks this channel #78 of 84 here — alongside 83 others — read 19 September 2026
Кастинги Москвы @casting_msk · 34,825 Telegram ranks this channel #78 of 92 here — alongside 91 others — read 3 September 2026
TalentGuru | Кастинг в кино @talent_guru · 25,145 Telegram ranks this channel #79 of 84 here — alongside 83 others — read 14 September 2026
KinoReel @kinoreel · 51,227 Telegram ranks this channel #81 of 98 here — alongside 97 others — read 25 August 2026
This channel appears in 26 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Лёша Зотов” (@leshazotov), 7,423 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/leshazotov.
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.