Channel
@teatr_predmeta
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
496subscribers
+0 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001762308344 |
|---|---|
| Type | Channel |
| Username | @teatr_predmeta |
| Description | Меня зовут Михаил Плутахин. Здесь буду публиковать мысли о театре предмета, информацию о своих лабораториях , мастер-классах и спектаклях. |
| Created | Between 1 December 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/teatr_predmeta |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 04:19 | 496 | no change |
| 8 Aug 2026, 03:47 | 496 | first reading |
20 posts held, back to 5 October 2025 — 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 pageof 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 20 posts for this entry, the most recent from 12 February 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
177 reactions across 16 posts, in 12 distinct kinds. The most used accounts for 50.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 90 | 50.8% | |
| 🔥 | 38 | 21.5% | |
| 👍 | 19 | 10.7% | |
| 😁 | 16 | 9.04% | |
| ❤🔥 | 3 | 1.69% | |
| 💘 | 3 | 1.69% | |
| 🍓 | 2 | 1.13% | |
| 🍾 | 2 | 1.13% | |
| 💋 | 1 | 0.565% | |
| 🕊 | 1 | 0.565% | |
| 🤗 | 1 | 0.565% | |
| 🤩 | 1 | 0.565% |
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 16 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 177reactions 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 5 October 2025 to 12 February 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.
Всем привет. У меня снова была длинная пауза — время переосмысления себя и всего, что я делаю. Для театра предмета будет отдельный пост об этом процессе, а сейчас хочу поделиться своим новым детским проектом на будущий год. Всем, у кого есть дети (или друзья с детьми), — знакомьтесь: Театральная студия «Дети театра» @Deti_teatra
❤21🤗1
Друзья! В этом году в Благовещенске я поставил спектакль "Эксперимент морковка" в жанре клоунады, и его можно теперь посмотреть в сети) УРА!)
👍5🔥4❤1
Друзья, я тут много делилась новостями про наш спектакль "Эксперимент Морковка" в Амурском театре кукол. Это проект-челендж. Но очень крутая и идея и реализация. Мы выложили видео спектакля, которым я с вами делюсь, - редкий случай - его можно посмотреть целиком, разобрать со студентами, с друзьями и написать нам, например 😀. Предыстория проекта в двух словах: Идею спектакля, в котором все будет завязано на изобре…
❤8🔥7👍1
ПРОМОКОД на скидку: SAAS25
Приглашаем детей и взрослых на обновлённую версию новогоднего спектакля «Цирк с предметами: Тайна Красного Коня»! Здесь вас ждёт настоящее волшебство: удивительные номера, загадки, яркая магия и незабываемое приключение братьев Носковых. Вместе с ними вы встретите год Огненного Коня, попробуете разгадать проказы загадочного Красного Коня и окунётесь в атмосферу циркового чуда! Представление создано командой професс…
❤4
🙌
По промокоду PREDMET20 будет действовать скидка 20%
❤4
свет, тень, предмет Луч сквозь листву, тень ветки на стене или блик в луже вдруг становятся маленьким событием дня, если позволить себе остановиться и присмотреться — для таких моментов в японском языке есть слово «комореби». На театральной лаборатории для подростков на одноименной выставке Георгия и Ирины Тотибадзе будем искать свое комореби, вести дневник наблюдателя, оживлять привычные вещи и пробовать рассказыва…
❤5👍1💘1
Театр Предмета pinned «🎭 АФИША НОЯБРЯ: БИБЛИОТЕКА НЕКРАСОВА 12 ноября, 19:00 Мастер-класс «Игры сюрреалистов» Педагог: Лиза Шпитальник Помните игру «Чепуха на бумажке»? Её придумали сюрреалисты как упражнение для воображения. На мастер-классе вас ждёт сочетание случайности…»
🎭 АФИША НОЯБРЯ: БИБЛИОТЕКА НЕКРАСОВА 12 ноября, 19:00 Мастер-класс «Игры сюрреалистов» Педагог: Лиза Шпитальник Помните игру «Чепуха на бумажке»? Её придумали сюрреалисты как упражнение для воображения. На мастер-классе вас ждёт сочетание случайности, творчества и арт-терапии: используем коллективное бессознательное и создаём произведения-коллажи через текст и образ. Участие бесплатное по регистрации: https://ne…
❤4👍3🍓2🍾2💋1
Немного артхауного архива в тему экспериментов с тенями: Архив 1: https://disk.yandex.ru/i/ekdwDcXtARS8nQ Архив 2: https://disk.yandex.ru/i/MAkyauZtfN7NZg Архив 3: https://disk.yandex.ru/i/b6aOXzMwq9YbBg
❤6
Всем привет! 😊 Немного пропал — заработался, но возвращаюсь в режим постов. Недавно мы провели мастер-класс по театру теней. Я рассказал о своих экспериментах, показал, как правильно держать фонарик, и поделился разными выразительными приемами, которые можно получить с помощью света. Пробовали сочинять истории только светом — с помощью фонариков, рефлексов и отражений, создавали абстрактные тени, а ещё совмещали виз…
🔥5❤4👍2
Showing the 12 most recent of 20 posts we hold for @teatr_predmeta. 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 — 720,904 of 1,160,990entries 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Театр Предмета” (@teatr_predmeta), 496 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/teatr_predmeta.
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.