Telegram RegisterThe public register of Telegram
Telegram profile photo for Muscult.ru

Channel

Muscult.ru

@muscultru

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,455subscribers

-10 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001723735987
TypeChannel
Username@muscultru
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held11
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/muscultru

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 17 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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

1,4531,4661,459.56 August 2026 — 1,465 subscribers6 August 2026 — 1,465 subscribers13 August 2026 — 1,464 subscribers16 August 2026 — 1,463 subscribers19 August 2026 — 1,462 subscribers23 August 2026 — 1,463 subscribers26 August 2026 — 1,462 subscribers31 August 2026 — 1,466 subscribers4 September 2026 — 1,460 subscribers9 September 2026 — 1,453 subscribers16 September 2026 — 1,455 subscribers1,4556 August 202616 September 2026
11 measurements spanning 41 days, net -10. 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 1,451–1,468 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 15:561,455+2
9 Sept 2026, 03:381,453-7
4 Sept 2026, 05:561,460-6
31 Aug 2026, 18:431,466+4
26 Aug 2026, 04:421,462-1
23 Aug 2026, 06:031,463+1
19 Aug 2026, 12:021,462-1
16 Aug 2026, 21:171,463-1
13 Aug 2026, 03:041,464-1
6 Aug 2026, 11:451,465no change
6 Aug 2026, 10:461,465first reading

Engagement

8 posts held, back to 27 May 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 8 posts for this entry, the most recent from 3 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

101 reactions across 8 posts, in 5 distinct kinds. The most used accounts for 55.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5655.4%
🔥3029.7%
👍109.90%
🥰43.96%
👏10.99%

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 8 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 101 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 8 most recent posts we hold, published 27 May 2026 to 3 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.

Recent posts

3 Jul 2026, 11:25 UTC267 views9 reactionsread 6 August 2026
Photo

https://modnaya-sreda.ru/event?e=238441&ysclid=mpzq9y8mw720671534

3🔥3👍1👏1🥰1

22 Jun 2026, 15:39 UTC591 views16 reactionsread 6 August 2026
Forwarded from @aguteens_festPhoto

Двухдневный интенсив от Марии Осадчей 7 и 8 июля практикующий психолог и наставник Музыкальной Академии Ларисы Долиной поделится опытом с педагогами по вокалу. 2 дня по 6 часов, и вы получите: — 6 глубоких практикумов, — рабочую тетрадь с готовыми шаблонами и техниками, — нетворкинг с педагогами со всей России, — сертификат о прохождении обучения. Подробности о спецпроекте и билеты — https://clck.ru/3UEXwj. #Agu

8🔥6👍2

22 Jun 2026, 15:39 UTC370 views11 reactionsread 6 August 2026
Forwarded from @aguteens_festVideo

Трек для вокалистов от Марии Осадчей В этом году вокальный психолог и наставник музыкальной академии Ларисы Долиной едет на фестиваль с авторским курсом для артистов. На занятиях творческие подростки и их родители: — познакомятся со спектром профессий в музыкальной индустрии, — научатся справляться с эмоциями после конкурсного выступления, — разберут психосоматику голоса и сможете его контролировать. С темами мас

6🔥3👍2

22 Jun 2026, 15:38 UTC334 views11 reactionsread 6 August 2026

Всем здравствуйте! Я, Мария Осадчая, вокальный психолог, наставник музыкальной академии Ларисы Долиной. С кем-то из вас я уже знакома, благодаря интенсивам, которые проходили в рамках академии. А с кем-то из вас я буду рада познакомиться на форуме Леонида Агутина на Красной Поляне! С 4-11 июля ☀️ В этом году я приезжаю со своим авторским треком «ДНК Артиста»✨ Интенсив для вокальных педагогов, открытые форматы д

8👍2🔥1

27 May 2026, 20:25 UTC499 views11 reactionsread 6 August 2026
Photo

💃 Хореография Станьте частью танцевального сообщества на мастер-классе по современной хореографии от Творческой лаборатории "МУЗКУЛЬТ"! Уже 30.05 состоится презентация мастерской 🔥 Начало занятий: осень 2026 ❤️‍🔥 Сона Овсепян- хореограф проектов "Танцы" на ТНТ и "Большой балет" 📍Библиотека №214 им. Ю.А. Гагарина Проспект Вернадского, д. 109 @gagarinlib 🔗 Ссылка на регистрацию: https://iframeab-pre11803.intickets.

8🔥3

27 May 2026, 19:25 UTC362 views11 reactionsread 6 August 2026
Photo

🎤 Мастерская по написанию песен Станьте одним из первых - присоединяйтесь к мастер-классу по написанию песен от Творческой лаборатории "МУЗКУЛЬТ"! Вместе с Анастасией Смыковой, участницей шоу "Голос" и автором песен популярных арститов, создадите свою первую песню! ❤️‍🔥 Анастасия Смыкова Уже 30.05 состоится презентация мастерской🔥 Начало занятий: осень 2026 📍Библиотека №100 ул. Саянская, д. 7А @biblio100 🔗 Ссылка

7🔥3🥰1

27 May 2026, 18:25 UTC391 views17 reactionsread 6 August 2026
Photo

🎤 Хор Станьте частью мира музыки в рамках хоровых лабораторий от "МУЗКУЛЬТ"! Уже 30.05 состоятся презентации лабораторий 🔥 Начало занятий: осень 2026 Наставники: ❤️‍🔥Мария Клименова - наставник Музыкальной академии Ларисы Долиной, готовила хоры для известных артистов: Лариса Долина, Григорий Лепс, Леонид Агутин, Игорь Николаев 📍Библиотека №100 ул. Саянская, д. 7А @biblio100 🔗 Ссылка на регистрацию: https://ifram

11👍3🔥3

27 May 2026, 15:12 UTC411 views15 reactionsread 6 August 2026
Photo

🔥 Открытие нового направления — Творческие лаборатории "МУЗКУЛЬТ" при поддержке Музыкальной Академии Ларисы Долиной на площадках @mos_razvitie Уже скоро стартуют лаборатории 9 наставников по разным направлениям: 💃 современная хореография 🎤 хор 🎼 написание песен Это возможность попробовать себя в творчестве, раскрыть таланты, познакомиться с единомышленниками и стать частью большого музыкального сообщества 💫 📍 През

🔥85🥰2

Showing the 8 most recent of 8 posts we hold for @muscultru. 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.

Forward network

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.

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

“Muscult.ru” (@muscultru), 1,455 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/muscultru.

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.