Официальный телеграм Склифа.
#ATEUQ
Регистрация в РКН: https://clck.ru/3Ppwt7
Мы ВКонтакте: https://vk.com/sklif.official
‼️Репост, использование и копирование контента возможно только со ссылкой на наш канал
Возрастное ограничение 18+
Created
26 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — 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 78% 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 the other topics.
Growth
54 measurements spanning 97 days, net +16. 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 10,952–11,110 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)
Subscribers
Change
12 Nov 2026, 08:17
11,066
-5
10 Nov 2026, 10:15
11,071
-2
8 Nov 2026, 23:37
11,073
-7
7 Nov 2026, 12:37
11,080
-2
6 Nov 2026, 08:57
11,082
-1
3 Nov 2026, 06:31
11,083
-3
2 Nov 2026, 07:56
11,086
-6
31 Oct 2026, 10:40
11,092
+15
30 Oct 2026, 11:39
11,077
+89
29 Oct 2026, 09:39
10,988
+8
27 Oct 2026, 06:46
10,980
+4
25 Oct 2026, 05:39
10,976
+2
24 Oct 2026, 04:59
10,974
-1
21 Oct 2026, 23:28
10,975
+1
20 Oct 2026, 19:49
10,974
-1
19 Oct 2026, 16:30
10,975
-2
18 Oct 2026, 19:19
10,977
-5
17 Oct 2026, 19:37
10,982
+4
16 Oct 2026, 16:57
10,978
+6
15 Oct 2026, 15:19
10,972
first reading
Engagement
33 posts held, back to 24 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
20.0%
avg views ÷ 11,066 subscribers
Avg views / post
2,220
12 posts measured
Reaction rate
2.16%
reactions ÷ views · ER floor
Posts in window
12
of 33 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 12 November 2026
Posts held
33 (24 July 2026 – 12 November 2026)
Views total
26,622
Reactions total
574
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
13 Nov 2026, 10:25 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
Photos
≈1,910
Videos
≈548
Links
≈366
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
14m 46s
Average length
1m 29s
Measured directly from 10 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
1,726 reactions across 33 posts, in 31 distinct kinds. The most used accounts for 50.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
869
50.3%
🔥
325
18.8%
❤🔥
126
7.30%
🤣
71
4.11%
👍
68
3.94%
🙏
57
3.30%
😱
49
2.84%
😁
35
2.03%
custom 5451745243151997382
34
1.97%
👏
22
1.27%
😍
22
1.27%
custom 5465511459444235288
6
0.348%
💋
6
0.348%
🎉
4
0.232%
🐳
4
0.232%
💘
4
0.232%
👀
3
0.174%
🤪
3
0.174%
🌚
2
0.116%
😭
2
0.116%
11 further kinds
14
0.811%
Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 33 of the 33 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 1,726 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 24 July 2026 to 12 November 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
Telegram’s own ‘edited’ marker: 0 of 12 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Московские врачи помогли женщине, которую ужалила ядовитая медуза
Во время отдыха за рубежом женщина пошла купаться и вдруг почувствовала, как её ноги коснулись щупальца. Оказалось, что это была ядовитая медуза. В местной клинике ей провели лечение, но легче не стало.
Действие яда вызвало воспаление, зуд, жжение, боль и отек. Поэтому после возвращения в Москву женщина обратилась в Центр острых отравлений НИИ Склифо…
❤️ Московские врачи исполнили мечту девочки из ЛНР
Мария давно интересуется медициной и хотела познакомиться с работой скорой помощи — в этом ей помогли столичные специалисты Института Склифосовского и станции скорой помощи имени Пучкова в рамках проекта «Давай Дружить!».
«Проект помогает исполнять заветные мечты детей-сирот и ребят в непростом положении, находить друзей и наставников, знакомиться с разными професс…
Почувствуйте себя врачами ультразвуковой диагностики 🩺
Сможете определить, какой орган или сосуд изображен на экране? Иногда их форма напоминает бабочку, грушу, фасоль, дерево или чайку!
Листайте фотографии, присматривайтесь к деталям и пишите свои догадки в комментариях⤵️
⚡️ 64 года против ядов: День рождения Центра острых отравлений Склифа!
⠀
Первый в стране токсикологический центр открылся в 1962 году именно в НИИ Склифосовского! Сегодня здесь получают медицинскую помощь около 5 тысяч человек в год: отравления бытовой химией и лекарствами, угарным газом и грибами, укусы змей, ожоги от борщевика и т.д.
⠀
История центра началась с академика Евгения Лужникова. Он создал первую в стране…
А какие вы после дежурства? 😅
Мы поймали наших специалистов до и после суток, чтобы прожить эти эмоции вместе с ними и показать, сколько сил и энергии требует каждая смена.
А теперь ваша очередь? Делитесь своими фотографиями «до» и «после» в комментариях ⤵️
⚡️ Любимое дело едва не стоило ему жизни. Мужчина работал в гараже: короткое замыкание ➡️ пожар. Итог: ожоги 30% поверхности тела.
Пациента доставили в Ожоговый центр Склифа. Здесь понимают: важно не просто залечить раны, а вернуть человеку возможность жить дальше - работать, общаться и чувствовать себя прежним. Герою этой истории всего 22 года. Казалось, ожоги перечеркнут все планы, но наши врачи вернули его в стро…
Московские врачи остановили кровообращение пациента, чтобы спасти ему жизнь
В НИИ им. Склифосовского экстренно привезли 70-летнего мужчину с расслоением аорты — крупнейшей сердечной артерии.
В её стенке была гематома, которая в любой момент могла привести к разрыву сосуда. Кроме того, три сердечных клапана работали неправильно, а разросшаяся перегородка между желудочками мешала оттоку крови от сердца.
Кардиохирург…
Инсульт в 30 лет…❤️🩹
Вы молоды, полны сил и уверены, что серьезные проблемы со здоровьем - это не про вас. Но инсульт может случиться даже у молодых. И иногда его причина скрывается в особенности организма, о которой человек даже не подозревает.
Антону 33 года. Он поступил в Склиф с транзиторной ишемической атакой - временным нарушением кровоснабжения головного мозга, которое может быть предвестником инсульта👆
То…
Заглянем в операционные Склифа - это самая закрытая часть Института, куда не попасть без специального допуска😎
Здесь действуют строгие правила стерильности, безопасности и подготовки. А за дверями скрывается целый мир⚡️
Каждый прибор здесь выполняет свою задачу. Пишите, про какое оборудование вам было бы интересно узнать ⤵️
Идите в баню! Но только после прочтения нашей статьи 😉
⠀
Походы в баню снова в моде💅 Банные пространства стали новыми точками притяжения, а парения превратились в ритуал заботы о себе.
⠀
Разобрали основные правила с сердечно-сосудистыми хирургами, чтобы новое хобби не навредило вашему здоровью. Читайте ВК:
⠀
🔸 Почему ледяная купель после парений - это плохая идея?
🔸 В баню и без пива?… Что можно и нельзя пить?
🔸 Прав…
🩺 Ординатура в Склифе - ожидание vs реальность!
Страхи, сомнения и неуверенность – в начале ординатуры это знакомо многим. Но иногда все оказывается совсем не так, как мы представляли! Новые знания, первые победы, классные коллеги и моменты, которыми хочется гордиться.
И с каждым этапом ординатуры будет всё больше поводов радоваться своим успехам и видеть, как растешь профессионально💙
Листайте карточки и делитесь …
custom 545174524315199738226❤11🔥10🙈1
Showing the 12 most recent of 33 posts we hold for @sklifofficial. 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
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.
Mentions
Named by 10 registered channels — 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Московская медицина @dzdmos · 201,819 Telegram ranks this channel #7 of 96 here — alongside 95 others — read 11 August 2026
Рязань * Новости * Важное @Ryazan_vajnoe · 26,144 Telegram ranks this channel #22 of 78 here — alongside 77 others — read 13 September 2026
Минздрав России @minzdrav_ru · 53,153 Telegram ranks this channel #25 of 94 here — alongside 93 others — read 24 August 2026
Скорая помощь @EMHelp_Channel · 25,255 Telegram ranks this channel #81 of 85 here — alongside 84 others — read 14 September 2026
Медицинская Россия @mediamedics · 142,813 Telegram ranks this channel #85 of 95 here — alongside 94 others — read 13 August 2026
This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Referenced elsewhere
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Институт Склифосовского(ru.wikipedia.org) “…площадь]], дом № 3.
| Сайт = [https://sklif.mos.ru/ sklif.mos.ru] https://t.me/sklifofficial
}}
{{Награды организации|{{орден Ленина|тип=организация}} {{орден…” read 1 November 2026
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 November 2026 — this
entry's latest reading, not the date you are reading this.
“Склиф” (@sklifofficial), 11,066 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/sklifofficial.
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.