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Channel

MSU фэшн-сообщество

@MSU_Fashion_Residency

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

844subscribers

+35 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-1002135493477
TypeChannel
Username@MSU_Fashion_Residency
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live12 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 September 2026
On Telegramt.me/MSU_Fashion_Residency

Topic

Art & design — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 49% 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

807844825.57 August 2026 — 809 subscribers8 August 2026 — 809 subscribers15 August 2026 — 807 subscribers22 August 2026 — 815 subscribers29 August 2026 — 819 subscribers4 September 2026 — 832 subscribers12 September 2026 — 844 subscribers7 August 202612 September 2026
7 measurements spanning 36 days, net +35. 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 801–850 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Sept 2026, 19:39844+12
4 Sept 2026, 11:57832+13
29 Aug 2026, 00:38819+4
22 Aug 2026, 10:14815+8
15 Aug 2026, 10:07807-2
8 Aug 2026, 01:34809no change
7 Aug 2026, 17:52809first reading

Engagement

8 posts held, back to 26 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 8 posts for this entry, the most recent from 13 June 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

62 reactions across 7 posts, in 7 distinct kinds. The most used accounts for 58.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3658.1%
🔥711.3%
🥰69.68%
💯58.06%
46.45%
❤‍🔥34.84%
🎉11.61%

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 7 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 62 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 26 February 2026 to 13 June 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

13 Jun 2026, 09:47 UTC283 views2 reactionsread 8 August 2026
Forwarded from @maybeartPhoto

20–22 июня еду в Архангельск в рамках ФШН-экспедиции «Модные маршруты Архангельска» Прочту там лекцию «Культурный код в моде и искусстве». И я очень рад, что этот разговор случится именно на русском севере, который я люблю, но где я бываю неприлично редко. В программе будут Малые Корелы, локальные бренды, музеи, гастрономические исследования, креативные пространства, встречи с дизайнерами, и разговоры о том, как т

2

1 Jun 2026, 11:58 UTC415 viewsread 8 August 2026
Photo

Регистрация на мероприятие на сайте PROfashion https://profashion.ru/events/conferences/estestvennyy-otbor-v-rossiyskom-fashion-lektsiya-andreya-burmatikova-dlya-tekh-kto-nameren-vyzhit-k-/

1 Jun 2026, 11:44 UTC388 views4 reactionsread 8 August 2026

Пока fashion-рынок лихорадит от смены покупательских паттернов и нулевой маржинальности привычных моделей, есть верный шанс остаться в плюсе — получить совет от специалиста. Андрей Бурматиков, чей опыт в Dreams by Alena Akhmadullina и Fashion Consulting Group доказывает его экспертизу в «коммерческом креативе» 5 июня в Москве на открытой лекции Андрей Бурматиков разберет новую логику модного бизнеса. Российский fas

1❤‍🔥1🎉1💯1

27 May 2026, 09:41 UTC493 views12 reactionsread 8 August 2026
Photo

Архангельск + музей/заповедник Малые Корелы 20-22 июня 2026 ФШН экспедиция «Модные маршруты Архангельска» *из цикла исследований «Русский культурный код» 🏰 Что нас ждёт: 💫Белые ночи 💫Поморские сказки 💫Вдохновение Севера 🏰 Наши практики: 🗝 Исследования народного костюма Русского Севера и народных промыслов 🗝 Визиты в шоурумы локальных брендов 🗝 Посещение музеев и креативных пространств 🗝 Знакомство с создателями

54💯3

26 May 2026, 14:48 UTC363 views6 reactionsread 8 August 2026
Photo

Приглашаем вас на встречу сообщества «Теория & индустрия моды» ✔️30 мая, суббота Заключительное занятие перед летними каникулами 📣Внимание - интенсив 📣 🕰️12:00-14:00 «Формирование fashion коллекций» Спикер: Татьяна Кулахметова 🕰️14:00-15:00 перерыв, чаепитие, нетворкинг 🕰️15:00-17:00 FASHION ВСЁ? Паблик ток с экспертами индустрии моды Темы: • Мода в эпоху перегрева • Fashion на грани • Индустрия после трендов

3❤‍🔥2💯1

21 Apr 2026, 08:19 UTC503 views23 reactionsread 8 August 2026
Forwarded from @rebel_schoolPhoto

С гордостью представляем вам одного из наших лекторов на предстоящем курсе! Все про Age Styling расскажет нам Ирэна Шведайте ❤️ Ирэна Шведайте - водолей, создатель и директор «Теория и индустрия моды» Центра креативных индустрий МГУ, психолог, основатель проекта ФШН экспедиция Атлас Ирэн вот уже 30 лет занимается развитием моды в стенах МГУ! Стайлинг и креативный дирекшн Онлайн курс старт 28 апреля Стажировки

10🔥7🥰6

26 Feb 2026, 20:15 UTC749 views6 reactionsread 8 August 2026

https://youtube.com/live/F1JzbUUK65E?feature=share

6

26 Feb 2026, 17:49 UTC707 views9 reactionsread 8 August 2026
Photo

Паблик ток Мода как визуальное высказывание Стилист и фотограф: территория диалога 27 февраля 15:00 Адрес: Dream House, Барвиха Опен-ток креативного директора и стилиста Семёна Уткина и одного из лидеров российского fashion-рынка — фотографа Данила Головкина. 📣Друзья, у нас аншлаг на мероприятие, все места уже забронированы, поэтому мы решили сделать ещё и онлайн трансляцию Будьте с нами завтра в 15:00 в онлайне, ж

9

Showing the 8 most recent of 8 posts we hold for @MSU_Fashion_Residency. 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 12 September 2026 — this entry's latest reading, not the date you are reading this.

“MSU фэшн-сообщество” (@MSU_Fashion_Residency), 844 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/MSU_Fashion_Residency.

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.