Channel
@vteatretalk
On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry
237subscribers
+47 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003738049948 |
|---|---|
| Type | Channel |
| Username | @vteatretalk |
| Created | Between 1 January 2026 and 27 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/vteatretalk |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 20:36 | 237 | +18 |
| 10 Sept 2026, 18:41 | 219 | +4 |
| 2 Sept 2026, 16:25 | 215 | -1 |
| 27 Aug 2026, 13:05 | 216 | +4 |
| 19 Aug 2026, 18:15 | 212 | +3 |
| 13 Aug 2026, 13:36 | 209 | +14 |
| 7 Aug 2026, 05:03 | 195 | no change |
| 6 Aug 2026, 16:17 | 195 | +5 |
| 6 Aug 2026, 02:35 | 190 | first reading |
19 posts held, back to 27 January 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
180 reactions across 17 posts, in 15 distinct kinds. The most used accounts for 63.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 115 | 63.9% | |
| 🔥 | 13 | 7.22% | |
| 🤣 | 7 | 3.89% | |
| 🆒 | 6 | 3.33% | |
| ⚡ | 5 | 2.78% | |
| 💅 | 5 | 2.78% | |
| 💩 | 5 | 2.78% | |
| 😁 | 5 | 2.78% | |
| ❤🔥 | 4 | 2.22% | |
| 🕊 | 4 | 2.22% | |
| 🌚 | 3 | 1.67% | |
| 🐳 | 3 | 1.67% | |
| 🗿 | 2 | 1.11% | |
| 🥴 | 2 | 1.11% | |
| 🍾 | 1 | 0.556% |
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 17 of the 19 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 180 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 January 2026 to 5 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.
если вы нас потеряли, мы нашлись! новый выпуск подкаста «увидимся в театре» уже доступен на всех площадках без подписки и vpn в гостях наш друг, автор тг канала «от чего дзинькает» женя покалюхин. 3 часа болтали про театр, про премьеры, которые отпечатались в памяти, про цены, которые делают больно, про будущее и прошлое, в общем — пили сидр слушать можно тут:) ps/ фото — креатив от гостя!
❤8
монтируем новый выпуск, ждете?
выбираем цитату для названия: «никогда не читайте никаких отзывов до того, как смотреть спектакль» «ты идешь на спектакль ради чего?» «настолько плохо, что хорошо» «я очень хочу, чтобы театральный бум закончился» «театральный бум закончится, а все то, что вы делаете, останется» «театр в прошлом»
❤7
гости нового выпуска — участники независимого театрального объединения «озеро» — гоша токаев и игорь царегородцев хорошо посидели с ребятами, попили пиво и даже поговорили про театр. немного, но как есть. больше хихикали вы, наверное, и так знаете, где можно посмотреть их спектакли и какие, но мы все-таки оставим список:) москва, пространство внутри ричард (андрей маник) три сестры (андрей маник) красная шапочка (…
❤8🕊3🔥2❤🔥1🍾1
это мы вчера сняли анонс для выпуска: «хорошо сидим» с Гошей Токаевым и Игорем Царегородцевым уже на всех платформах 🎧
❤11
эту неделю все только и делают, что говорят про нового гамлета в мхт, напомню, что у нас есть легендарный подкаст с режиссером спектакля - андреем гончаровым :) вообще мне кажется это самое объемное присутствие андрея в медиа пространстве, чем мы с девочками очень гордимся! послушайте, возможно вам это поможет понять то, что вы увидите на сцене :) фото
❤8
чистосердечное признание в любви! ♥️
послушала вчера еще раз наш выпуск с димой крестьянкиным, я вообще скромный человек, но выпуск так хорош, что аж захотелось написать, как я горжусь нами:) лучшие гости, горящие театром, каждый с какой-то своей супер силой. очень рада, что у нас получаются такие легкие, искренние, теплые разговоры, только о том, что нам самим интересно. маша с полиной мои любимые и лучшие подкастеры в мире, мы с каждым выпуском уверен…
❤7
гость нового выпуска — Дмитрий Крестьянкин Дима эксперт в области социального и документального театра, человек, который желает понять каждого и перенести услышанные истории на сцену. поговорили про его подход к театру, последние премьеры, музыку и многое другое. ниже собрали все спектакли Димы, которые можно увидеть в Москве и не только: Москва «День закрытых дверей» Театр Наций «Восьмиклассница» Театр Маяковского…
❤13🔥9❤🔥3
метамодерн, все дела))
❤7
еще одна подсказка
❤6
угадай следующего гостя (гостей*) подкаста по сообщению
⚡5❤5🗿2💩1
Showing the 12 most recent of 19 posts we hold for @vteatretalk. 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
10 альтернативных вариантов на пост ректора Школы Студии Мхат:
The shares total 138%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 27 January 2026 to 5 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
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.
“увидимся в театре” (@vteatretalk), 237 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/vteatretalk.
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.