Channel
@teatrlabbelich
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
197subscribers
+0 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003065765962 |
|---|---|
| Type | Channel |
| Username | @teatrlabbelich |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/teatrlabbelich |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 00:28 | 197 | no change |
| 9 Aug 2026, 20:46 | 197 | first reading |
5 posts held, back to 6 July 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 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 28 July 2026 |
|---|---|
| Posts held | 5 (6 July 2026 – 28 July 2026) |
| Views total | 263 |
| Reactions total | 17 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 20:46 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.
34 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 88.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 30 | 88.2% | |
| 👍 | 3 | 8.82% | |
| 🔥 | 1 | 2.94% |
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 5 of the 5 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 34reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 6 July 2026 to 28 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.
2⃣7⃣июля 1⃣9⃣4⃣0⃣года родилась легендарная Пина Бауш, танцовщица и хореограф, исследователь направления «танцтеатр», - сделавшая возможным перевод наших мыслей и чувств на язык движения. 🤩Редкие кадры, back stage. Пина Бауш танцует. Отражение ее танца в глазах случайного наблюдателя точнее любых зеркал... «Меня интересует не то, как люди двигаются, а то, что ими движет.» (Пина Бауш) «Кто только не считал ее своей.…
❤6
Французский театральный режиссер ▫️▫️▫️▫️▫️ ▫️▫️▫️▫️▫️▫️▫️, основательница Театра дю Солей, известна своими глубокими размышлениями о природе сценического искусства и повествования. Многие из ее примечательных работ подчеркивают, что театр должен фокусироваться на необузданных человеческих страстях, а не только на психологических исследованиях. Ключевые темы ее творчества, представленные в ее «Маленьком словаре театр…
❤7
1⃣9⃣ июля 1⃣8⃣9⃣8⃣ года родился Этьен Декру, легендарный французский реформатор театра, хореограф, пластический актёр и педагог. Автор универсальной технологии для подготовки актёра, - техники Декру, превращающей тело в чуткий инструмент для создания пластической метафоры, поэтического высказывания без слов. Анна Белич училась у последних ассистентов Декру, - Коринн Сум и Стивена Вэссона, - и теперь передает бесценн…
❤4
🤩🤩🤩🤩🤩🤩🤩 Анны Белич, выпускники предыдущего китайского пластического курса: После выпуска сейчас увлеченно трудятся в Китае, активно ставят спектакли, используя метод Пины Бауш и технику Декру. 🤩И мы сразу вспоминаем чудесный пластический спектакль «Пер Гюнт», навсегда соединивший всех в творческую команду. Спектакль с успехом шёл на Малой сцене РГИСИ в течение сезона 2024/25, на общем фото сохранено ощущение единог…
❤7👍2
🔸🔸🔸🔸🔸 на ИЮЛЬ: 🤩8 июля, 19:00 «Восемь снов» режиссёр Я. Тумина МДТ 🤩19 июля, 19:00 «Живой труп» режиссёр Ю. Цуркану Театр А. Миронова До встречи в новом театральном сезоне! 🤩Дорогие зрители, мы сердечно благодарим вас за этот вместе прожитый сезон! Наша группа возникла осенью по вашей просьбе - соединить информацию о спектаклях, созданных Анной Белич по методу Пины Бауш и технике Декру. Для нас этот сезон прошел…
❤6👍1🔥1
Showing the 5 most recent of 5 posts we hold for @teatrlabbelich. 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 — 1,128,779 of 1,345,403entries 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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“Театр-лаборатория Анны Белич” (@teatrlabbelich), 197 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/teatrlabbelich.
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.