Video message, posted without a caption

Channel
Savoy Ресторан
@savoyrestaurant
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
10,480subscribers
-21 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002255623095 |
|---|---|
| Type | Channel |
| Username | @savoyrestaurant |
| Created | Between 1 October 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 28 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/savoyrestaurant |
Topic
Other / unclassifiable — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 20:19 | 10,480 | +3 |
| 15 Sept 2026, 19:16 | 10,477 | -4 |
| 14 Sept 2026, 04:16 | 10,481 | -1 |
| 12 Sept 2026, 08:37 | 10,482 | +7 |
| 10 Sept 2026, 05:57 | 10,475 | +1 |
| 6 Sept 2026, 23:56 | 10,474 | -4 |
| 4 Sept 2026, 06:22 | 10,478 | +4 |
| 2 Sept 2026, 19:56 | 10,474 | -10 |
| 30 Aug 2026, 15:35 | 10,484 | +1 |
| 29 Aug 2026, 12:27 | 10,483 | +1 |
| 28 Aug 2026, 10:25 | 10,482 | -3 |
| 27 Aug 2026, 09:39 | 10,485 | -3 |
| 26 Aug 2026, 06:27 | 10,488 | -2 |
| 25 Aug 2026, 03:44 | 10,490 | -1 |
| 23 Aug 2026, 23:36 | 10,491 | +4 |
| 22 Aug 2026, 08:38 | 10,487 | -3 |
| 20 Aug 2026, 02:58 | 10,490 | -5 |
| 18 Aug 2026, 23:51 | 10,495 | -2 |
| 17 Aug 2026, 20:35 | 10,497 | +1 |
| 16 Aug 2026, 19:38 | 10,496 | first reading |
Engagement
17 posts held, back to 30 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 36 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.39%
- avg views ÷ 10,480 subscribers
- Avg views / post
- 145
- 6 posts measured
- Reaction rate
- 1.41%
- reactions ÷ views · ER floor
- Posts in window
- 6
- of 17 held
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. It is computed over the 2 of 6 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 August 2026 |
|---|---|
| Posts held | 17 (30 July 2026 – 27 August 2026) |
| Views total | 872 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 13:29 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.
What this channel posts
- Video runtime
- 1m 33s
- Average length
- 16s
Measured directly from 6 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
90 reactions across 12 posts, in 8 distinct kinds. The most used accounts for 71.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 64 | 71.1% | |
| 🔥 | 10 | 11.1% | |
| 🤣 | 6 | 6.67% | |
| 🎉 | 4 | 4.44% | |
| 💔 | 2 | 2.22% | |
| 😁 | 2 | 2.22% | |
| 👍 | 1 | 1.11% | |
| 🥰 | 1 | 1.11% |
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 12 of the 17 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 90 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 30 July 2026 to 27 August 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
Наш гест-менеджер Сергей Петрович сегодня фотографирует гостей и дарит прекрасное настроение
Сегодня в Savoy впервые — «Барная карусель». Шефы баров — участников фестиваля встречаются за одной стойкой и представляют свои авторские версии легендарного Negroni. Ждём вас в Savoy 🤍
❤2
Арт-завтрак в Savoy. Федерико Феллини: кино и мода «Сладкая жизнь», «Восемь с половиной», «Рим», «Джульетта и духи» — фильмы Феллини давно вышли за пределы кинематографа и стали неисчерпаемым источником вдохновения для мира моды. Valentino, Dior, Chanel, Jean Paul Gaultier, Dolce & Gabbana, Guess и многие другие обращались к эстетике Феллини, превращая знакомые кинематографические образы в язык современной моды. А …
Гастрономия Savoy раскрывается постепенно, через тонкие сочетания, игру текстур и точные акценты. Знакомые вкусы обретают новое звучание, сохраняя лёгкость и изящество. Так рождается кухня Savoy, выразительная в деталях и созданная для удовольствия.
❤2
С 24 по 30 августа Savoy приглашает на Российскую неделю Negroni. Специально к фестивалю шеф-бармен Savoy Илья Матвийченко подготовил два коктейля: классический Negroni и авторскую интерпретацию — Negroni Fleur de Lis. А 27 августа в Savoy впервые пройдет «Барная карусель»: за стойкой встретятся шефы баров — участников фестиваля и представят свои версии легендарного коктейля. Встречаемся в Savoy.
Состоялся пресс-бранч в честь презентации коллаборации с брендом SIU. Шеф-кондитер Юлия Наймарк и шеф-бармен Илья Матвийченко создали специально для проекта десерт «Омбре» и коктейль «Вуаль», вдохновленные одной из парфюмерных композиций SIU. Гости познакомились с новой коллаборацией и смогли попробовать гастрономическую интерпретацию — десерт и коктейль, в которых через вкус, текстуру раскрывается идея парфюмерной…
Пресс-бранч в честь презентации коллаборации с брендом SIU
🥰1
Savoy × SIU С 19 августа по 2 сентября Savoy и нишевый парфюмерный бренд SIU объединяются в гастрономической коллаборации на стыке вкуса и аромата. Шеф-кондитер Юлия Наймарк и шеф-бармен Илья Матвийченко создали десерт «Омбре» и коктейль «Вуаль», вдохновленные одной из парфюмерных композиций SIU. «Вуаль» — сливовый десертный сауэр с цитрусовой свежестью, можжевеловыми и травяными оттенками джина — 1150 ₽. «Омбре»…
❤4
Savoy x Кенгуру: Дарим подарки маленьким гостям! В Savoy ценят, когда за одним столом собирается вся семья. И теперь у наших юных гостей есть еще один повод для радости — во время визита их ждет подарок от «Кенгуру» — сети салонов премиального шопинга для всей семьи. Приходите в Savoy с близкими и родными, чтобы разделить красивый ужин, любимые блюда и время, проведенное вместе.
❤3💔1
Поздравляем нашего замечательного банкетного менеджера Максима с днём рождения! Желаем успехов, счастья, здоровья, благополучия и побольше ярких событий! Пусть работа приносит удовольствие, а каждый день — новые поводы для улыбки!
❤9🔥6🎉4👍1
Вечер в Savoy — это тепло, уют и радость встреч. Искренние улыбки, приятные разговоры и внимание к каждой детали создают атмосферу, в которую хочется возвращаться по любому поводу 🤍
❤10💔1
Showing the 12 most recent of 17 posts we hold for @savoyrestaurant. 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Savoy Ресторан” (@savoyrestaurant), 10,480 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/savoyrestaurant.
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.