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Channel

А давайте театр

@ad_theatre

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

382subscribers

+0 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-1002745424123
TypeChannel
Username@ad_theatre
CreatedBetween 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/ad_theatre

Topic

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 22 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

3823863847 August 2026 — 382 subscribers7 August 2026 — 383 subscribers8 August 2026 — 383 subscribers14 August 2026 — 386 subscribers20 August 2026 — 385 subscribers6 September 2026 — 384 subscribers15 September 2026 — 382 subscribers7 August 202615 September 2026
7 measurements spanning 39 days. 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 381–387 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 03:59382-2
6 Sept 2026, 14:21384-1
20 Aug 2026, 16:16385-1
14 Aug 2026, 09:58386+3
8 Aug 2026, 06:05383no change
7 Aug 2026, 19:10383+1
7 Aug 2026, 11:48382first reading

Engagement

9 posts held, back to 15 February 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 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 9 posts for this entry, the most recent from 26 July 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
40s
Average length
20s

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

176 reactions across 8 posts, in 11 distinct kinds. The most used accounts for 59.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10559.7%
🔥2011.4%
👍105.68%
custom 520664109747591077084.55%
💘84.55%
🥰63.41%
🫡63.41%
💋52.84%
💅31.70%
🤩31.70%
🤝21.14%

Custom emoji. One row above is a 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 count beside it is Telegram’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 8 of the 9 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 176 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 15 February 2026 to 26 July 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
4
across the posts below
Posts paid on
3
of 9 we hold a reading for · 33%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ad_theatre. 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 9 most recent posts we hold for this entry, published 15 February 2026 to 26 July 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.

Recent posts

26 Jul 2026, 08:00 UTC191 views16 reactionsread 8 August 2026
Photo

До старта большого курса осталось 9 дней ❤️ Привет! У нас обновилось расписание — увидимся 4 августа! Вписаться не поздно, а самое время :) Пишите, спрашивайте @Paulineshiryaeva или @pavlintseva, всех ждём!

8custom 52066410974759107705💘3

7 Jul 2026, 17:46 UTC451 views33 reactions2 Starsread 8 August 2026
Video

Мы делаем мюзикл! Точнее, мы делаем большой курс и приглашаем вас присоединиться :) А вот что мы вместе создадим — увидим в сентябре! Что важно знать: ⭐️Курс пройдет с 4 августа по 18 сентября: 17 занятий, 2-3 раза в неделю по вечерам (будем стараться, чтобы темп совместился с остальной жизнью) ⭐️ Будет сразу три дисциплины: - актёрское мастерство с Димой и Эмилем - вокал с Мирой - хореография с Даней ⭐️Участвов

18🔥11👍4

18 May 2026, 14:20 UTC549 views13 reactionsread 8 August 2026

Ку-ку! Это мы Групповое с Мирой по вокалу переносится на вскр 7 июня в 19:00 Места ещё есть! Запись у Поли @Paulineshiryaeva

🫡65🤝2

2 May 2026, 18:31 UTC762 views18 reactions1 Starread 8 August 2026
Photo

Привет, май! Пока отдыхаем, а вот в июне всех зовем на групповое занятие по вокалу с Мирой 🌸 Потренируем чувство ритма, изучим несколько вокальных приемчиков, каждый получит личные рекомендации. Потом разберем и по голосам песню и споем ее вместе, поработав над сложными моментами. Приятный спойлер: если вам нравится петь (не обязательно уметь), вы 100% уйдете с диким кайфом и в любви 7 июня, воскресенье в 19:00 м.

12👍3💅3

18 Mar 2026, 15:08 UTC916 views14 reactionsread 8 August 2026
Photo

Продолжение мини-курса для новичков (и не только) 🤩🤩🤩🤩🤩 После февральского курса ребята сказали: мало, хотим ещё. И вауля, в апреле мы встречаемся на продолжение! В этот раз ждём всех: и новичков, и тех, кто уже был на наших занятиях. Хотим всех познакомить, получить удовольствие + отдохнуть Чего ждать: много игр и тренингов на софт скиллы — эмпатию, внимательность, воображание, контакт с партнёром, своим телом

7🔥4👍3

24 Feb 2026, 11:50 UTC≈1,030 views27 reactions1 Starread 8 August 2026
Photo

Метод Демидова⭐️ В марте и апреле позанимаемся с Димой этюдами по технике Н.В. Демидова. Метод Демидова — это тренировка творческой свободы и спонтанности. В жизни мы довольно часто подталкиваем себя в «надо» или притормаживаем, чтобы было «правильно». Здесь же будем тренировать способность доверять первым импульсам, говорить себе «можно», отбрасывать контроль и пускать себя на то, что возникает внутри. Работать

19🔥5🤩3

15 Feb 2026, 13:17 UTC854 views14 reactionsread 8 August 2026
Sticker

Sticker, posted without a caption

6💘5custom 52066410974759107703

15 Feb 2026, 13:16 UTC848 views41 reactionsread 8 August 2026
Photo

Наша подруга Аня (anutavsesuper) нарисовала для адт открытки! Маленькие напоминания о силах, которые открываются, когда рядом и внутри есть ЛЮБОВЬ Всем чмок 💓

30🥰6💋5

Showing the 9 most recent of 9 posts we hold for @ad_theatre. 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.

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 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.

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“А давайте театр” (@ad_theatre), 382 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/ad_theatre.

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.