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 12 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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
12 measurements spanning 41 days, net +52. 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 8,002–8,070 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Sept 2026, 16:17
8,062
+8
12 Sept 2026, 05:57
8,054
+7
8 Sept 2026, 09:40
8,047
+7
3 Sept 2026, 09:45
8,040
+4
31 Aug 2026, 10:07
8,036
+4
24 Aug 2026, 22:44
8,032
-3
21 Aug 2026, 03:03
8,035
+3
18 Aug 2026, 00:43
8,032
+3
11 Aug 2026, 23:56
8,029
+3
8 Aug 2026, 19:07
8,026
+16
6 Aug 2026, 03:04
8,010
no change
6 Aug 2026, 00:55
8,010
first reading
Engagement
31 posts held, back to 27 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 19 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.4%
avg views ÷ 8,062 subscribers
Avg views / post
1,240
7 posts measured
Reaction rate
2.64%
reactions ÷ views · ER floor
Posts in window
7
of 31 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 6 of 7 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
31 (27 July 2026 – 28 August 2026)
Views total
8,705
Reactions total
194
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 19:09 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
11m 39s
Average length
58s
Measured directly from 12 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
862 reactions across 28 posts, in 15 distinct kinds. The most used accounts for 53.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
465
53.9%
🔥
170
19.7%
👍
98
11.4%
🥰
30
3.48%
❤🔥
23
2.67%
👏
14
1.62%
👎
13
1.51%
🙏
10
1.16%
🤝
10
1.16%
⚡
8
0.928%
🤩
7
0.812%
😍
6
0.696%
😱
4
0.464%
custom 5188217332748527444
3
0.348%
👌
1
0.116%
Custom emoji. One row above is a 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 count beside it is 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 30 of the 31 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 893 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 27 July 2026 to 28 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.
Наш офтальмолог Дмитрий Владимирович Сонин поднялся на Казбек – один из самых известных пятитысячников Кавказа! 🏔
Мы часто показываем наших врачей за работой: в операционной, на приёме, на конференциях.
А сегодня хотим показать Дмитрия Владимировича с другой стороны: в свободное время он снимает белый халат, надевает горные ботинки и идёт на пятитысячник.
Дмитрий Владимирович, поздравляем с вершиной! Это действите…
Есть что-то почти медитативное в том, чтобы наблюдать за работой хирургов
В операционной почти тихо. Каждый занят своим делом, движения точные, команда понимает друг друга буквально по взгляду. Со стороны кажется, что всё происходит очень спокойно, хотя за этой спокойной работой стоят огромный опыт и концентрация.
Сегодня немного операционной эстетики от наших аритмологов ❤️
⚡️ Хирургия сложных зон: как наши онкогинекологи удаляют лимфоузлы забрюшинным доступом
При некоторых онкогинекологических заболеваниях необходимо удалить не только тазовые, но и поясничные лимфатические узлы. Они расположены глубоко в забрюшинном пространстве, рядом с аортой и нижней полой веной, поэтому такой этап операции технически сложен.
❗️Специалисты онкогинекологического отделения № 70 ММНКЦ им. С.П. Боткин…
От первых отечественных разработок – к современному искусственному кровообращению 🫀
В китайском Гуйяне завершилась 2026 National Annual Conference on Extra-Corporeal Circulation – ежегодная конференция, посвященная технологиям искусственного кровообращения.
На международной площадке выступил анестезиолог ММНКЦ им. С.П. Боткина Никита Сергеевич Чибисов. Тема его доклада – «Искусственное кровообращение в России: от н…
⚡️ В рубрике «Доктор, это нормально?» разбираем вопрос, который часто вызывает споры: может ли сахарный диабет быть обратимым?
При диабете 1 типа восстановить утраченные клетки, вырабатывающие инсулин, сегодня невозможно. А вот при диабете 2 типа ситуация другая: особенно в начале заболевания у некоторых пациентов можно добиться ремиссии — нормальных показателей глюкозы без признаков активного заболевания.
❗️Но рем…
⚠️ Уважаемые пациенты!
Сегодня наблюдаются временные сбои в работе контакт-центра ММНКЦ им. С.П. Боткина по техническим причинам.
Приносим извинения за возможные неудобства. Наши специалисты уже работают над устранением неполадок и восстановлением связи.
Сегодня Учебному центру ММНКЦ им. С.П. Боткина 5 лет! 🎉
За это время здесь прошли обучение 412 ординаторов, а подготовка сегодня ведётся уже по 23 специальностям.
Но главное достижение – это молодые врачи, сильные наставники и профессиональные команды, которые вместе развивают современную медицину.
🥳 Поздравляем всех, кто создавал и продолжает развивать Учебный центр!
О том, как всё начиналось и чего удалось дост…
Если вам когда-нибудь говорили, что ночью в поликлинике делать нечего, — сегодня Москва официально это опровергает 😄
В рамках проекта «Ночь в поликлинике» заместитель директора по научной работе ММНКЦ им. С.П. Боткина, д.м.н. Павел Алексеевич Дроздов рассказал москвичам о развитии столичного здравоохранения.
Как меняется медицина? Что уже умеют современные московские стационары? Какие технологии вчера казались буду…
Травматолог-ортопед ММНКЦ им. С.П. Боткина Николай Алексеевич Набатчиков принял участие в XXII Международном конгрессе Египетской ассоциации ортопедов, посвящённом лечению деформаций скелета
⚡️ В рамках конгресса состоялся симпозиум WAIOT – Всемирной организации по борьбе с инфекциями в травматологии и ортопедии. Николай Алексеевич выступил одним из модераторов секции и представил два доклада.
Первый был посвящён м…
Когда уже пора делать операцию при катаракте?
«Может быть, ещё подождать? Вдруг катаракта пока не созрела?» – этот вопрос офтальмологи слышат довольно часто.
👀 Но ждать, пока зрение сильно ухудшится, не нужно. Гораздо важнее другое: мешает ли катаракта вашей обычной жизни?
Если вечером стало некомфортно водить машину, фары встречных автомобилей сильно слепят, читать приходится только при ярком свете, лица кажутся …
Showing the 12 most recent of 31 posts we hold for @botkinmoscow. 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 4 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 · 228,810 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 11 August 2026
Медицина | Новости | Здоровье @medic_novosti · 23,146 Telegram ranks this channel #58 of 81 here — alongside 80 others — read 19 September 2026
ГЛАВНЫЙ ОНКОЛОГ Андрей КАПРИН @ADKaprin · 32,230 Telegram ranks this channel #90 of 98 here — alongside 97 others — read 7 September 2026
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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 15 September 2026 — this
entry's latest reading, not the date you are reading this.
“БОТКИНСКАЯ БОЛЬНИЦА (Москва)” (@botkinmoscow), 8,062 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/botkinmoscow.
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.