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Telegram profile photo for Глазами актрисы 🔥🔥🔥

Channel

Глазами актрисы 🔥🔥🔥

@prokinoidomino

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

190subscribers

+21 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-1002095516686
TypeChannel
Username@prokinoidomino
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/prokinoidomino

Growth

169190179.57 August 2026 — 169 subscribers8 August 2026 — 169 subscribers16 August 2026 — 190 subscribers7 August 202616 August 2026
3 measurements spanning 9 days, net +21. 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 166–193 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 05:34190+21
8 Aug 2026, 15:16169no change
7 Aug 2026, 16:29169first reading

Engagement

20 posts held, back to 14 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
22.6%
avg views ÷ 190 subscribers
Avg views / post
43.0
9 posts measured
Reaction rate
15.8%
reactions ÷ views · ER floor
Posts in window
9
of 20 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 7 August 2026
Posts held20 (14 June 20267 August 2026)
Views total387
Reactions total61
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 15:16 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
9m 31s
Average length
44s

Measured directly from 13 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

143 reactions across 20 posts, in 14 distinct kinds. The most used accounts for 37.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5437.8%
2618.2%
custom 5436339131036737388139.09%
👍139.09%
custom 5433662378568852997128.39%
👏74.90%
🥰64.20%
53.50%
💘21.40%
❤‍🔥10.699%
🍓10.699%
💋10.699%
💯10.699%
🤗10.699%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 20 of the 20 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 143reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 14 June 2026 to 7 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

7 Aug 2026, 19:07 UTC15 views4 reactionsread 8 August 2026
Video

Я всегда очень тщательно выбираю место, для занятий и тренингов;) #мосвка_занятия_речью #ораторское_искусство #публичные_выступления

👍21🔥1

4 Aug 2026, 15:26 UTC39 views7 reactionsread 8 August 2026
Video

Это Петр, он занимается чуть больше 3-х месяцев. P.S. видео выложено с разрешения Петра 🤍 #не_только_про_голос #речь #занятия_речью #занятия_голосом #вокал

🔥42👍1

2 Aug 2026, 11:30 UTC37 views14 reactionsread 8 August 2026
Video

«Август надо цедить медленно, как грушевый ликер. Наливать в маленькую рюмочку, отхлебывать по капельке, а сквозь рюмочку смотреть на солнце... Августовские ночи надо разбавлять огоньками свечей, молоком, налитым в плошку для домового, мурлыканьем кота и стрекотом кузнечиков. Августовские дни надо закладывать меж страниц книг, как закладки, чтобы потом вытряхивать их жар, в промозглом ноябре достав эту книгу с полки.

🔥4custom 54363391310367373884👏31👍1🥰1

28 Jul 2026, 15:37 UTC52 views7 reactionsread 8 August 2026

Иногда меня спрашивают: «Что именно вы делаете? Вы преподаватель актерского мастерства, тренер по голосу, педагог по речи или специалист по публичным выступлениям?» На самом деле — всё это одновременно. Если представить мой путь в виде трех пересекающихся кругов, станет понятно, почему мои занятия выглядят именно так. 🟤Круг 1. Актерское мастерство. 🔛Я окончила Высшее театральное училище (институт) им. Б. В. Щукин

🔥32👍1💋1

27 Jul 2026, 14:14 UTC38 views9 reactionsread 8 August 2026
Video

Попробуйте выговорить;) #трене_по_голосу #скороговорки #говори_чтобы_тебя_слышали

🔥3👏2custom 543366237856885299721👍1

26 Jul 2026, 13:04 UTC44 views6 reactionsread 8 August 2026
Video

А какие планы на лето у Вас?) Знали бы Вы сколько всего осталось за кадром 🫣🫣🫣 Монтаж: Елизавета Морговская Реквизит: Екатерина Власова #больше_чем_голос #не_только_про_голос

3👍1🔥1custom 54336623785688529971

24 Jul 2026, 11:13 UTC52 views5 reactionsread 8 August 2026
Video message

Video message, posted without a caption

🔥21🍓1🥰1

23 Jul 2026, 17:08 UTC55 views4 reactionsread 8 August 2026
Video

Как проходят занятия;) и да, онлайн тоже можно) пишите ваши варианты, что это за текст;) ✨✨✨ #больше_чем_голос #речь #занятия_речью

2👏1🔥1

22 Jul 2026, 18:35 UTC55 views5 reactionsread 8 August 2026
Video

Упражнение на дикцию и нейронная разминка. Супер-комбо 💛💜💚

custom 543366237856885299721👍1🔥1

17 Jul 2026, 18:43 UTC75 views8 reactionsread 8 August 2026
Photo

Как будут устроены два дня? День первый 🟢Мы начинаем с привычного представления о себе. Того, которое обычно называем при знакомстве, собеседовании, автоматически. Шаг за шагом рассматриваем, словно матрёшку, снимая слой за слоем. Что в нем, действительно, моё и мне нужно, а что уже нет. День второй. 🟢Мы не разрушаем старую версию. Мы собираем новую. Более точную, живую. Ту, которая опирается не только на привычны

🔥32custom 54336623785688529972👍1

15 Jul 2026, 13:39 UTC72 views6 reactionsread 8 August 2026
Video

#тренинг #больше_чем_голос

🔥41custom 54363391310367373881

14 Jul 2026, 14:10 UTC73 views5 reactionsread 8 August 2026
Photo

Когда я думала, о чем хочу сделать новый тренинг, почему-то слово «самопрезентация» меня преследовало, как назойливая муха. Я отмахивалась, а она [самопрезентация] опять прилетала. 🟤В какой-то момент я решила понять: что меня так раздражает в этом слове? 🟤И именно тогда пазл сложился: я решила посмотреть дальше официального, причесанного, правильного понятия самопрезентации… 🟤Чаще всего мы видим только фасад, перв

2🔥21

Showing the 12 most recent of 20 posts we hold for @prokinoidomino. 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 — 357,904 of 1,481,306entries 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Глазами актрисы 🔥🔥🔥” (@prokinoidomino), 190 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/prokinoidomino.

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.