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 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
60 measurements spanning 97 days, net -1. 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 18,633–18,701 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
10 Nov 2026, 14:17
18,655
-4
8 Nov 2026, 22:16
18,659
-1
5 Nov 2026, 06:56
18,660
-6
4 Nov 2026, 04:55
18,666
+1
3 Nov 2026, 07:21
18,665
-4
2 Nov 2026, 06:40
18,669
+3
1 Nov 2026, 09:15
18,666
-1
31 Oct 2026, 09:04
18,667
-1
30 Oct 2026, 08:06
18,668
-1
29 Oct 2026, 10:56
18,669
-5
28 Oct 2026, 08:49
18,674
+7
27 Oct 2026, 08:50
18,667
-2
25 Oct 2026, 09:09
18,669
-2
24 Oct 2026, 05:57
18,671
-1
23 Oct 2026, 05:26
18,672
+2
22 Oct 2026, 06:21
18,670
-1
20 Oct 2026, 22:07
18,671
+1
19 Oct 2026, 21:28
18,670
-2
18 Oct 2026, 20:39
18,672
+1
17 Oct 2026, 20:55
18,671
first reading
Engagement
34 posts held, back to 26 June 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 73 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.8%
avg views ÷ 18,655 subscribers
Avg views / post
2,950
4 posts measured
Reaction rate
2.36%
reactions ÷ views · ER floor
Posts in window
4
of 34 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 26 October 2026
Posts held
34 (26 June 2026 – 26 October 2026)
Views total
11,780
Reactions total
278
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 16:17 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
187
Videos
10
Links
215
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1m 22s
Average length
1m 22s
Measured directly from 1 video 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
3,284 reactions across 32 posts, in 24 distinct kinds. The most used accounts for 54.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,802
54.9%
👍
584
17.8%
🔥
304
9.26%
😱
180
5.48%
💯
114
3.47%
😢
86
2.62%
🤮
57
1.74%
❤🔥
45
1.37%
💔
15
0.457%
🤔
12
0.365%
🙈
11
0.335%
✍
10
0.305%
👏
9
0.274%
🤷♂
9
0.274%
🕊
8
0.244%
😭
8
0.244%
🤯
7
0.213%
👀
5
0.152%
💩
5
0.152%
🙏
4
0.122%
4 further kinds
9
0.274%
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 32 of the 34 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 3,284 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 26 June 2026 to 26 October 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: 1 of 4 posts held from the last 30 days (25.0%) 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).
💉💉💉💉💉💉💉💉💉
ЭТИ ошибки в назначениях и вакцинации разберем по новым КР
Какую терапию выбрать, кому показана вакцинация, что указать в документации? Эти решения вы принимаете КАЖДЫЙ ДЕНЬ!
На вебинаре разберем, где привычная тактика может не соответствовать новым рекомендациям и что нужно делать по-другому.
📍 28 октября в 15:00 мск
Бесплатный вебинар «Новое в педиатрии 2025–2026»
✅ Что делать по-другому на приеме с…
🥼Случайный человек не может сначала родиться в день анестезиолога и реаниматолога, а потом стать лучшим представителем своей профессии!
Арина - крутой специалист и сильно мой человек по набору человеческих качеств и по ощущению🤝
И, если вы, вдруг, еще с ней не знакомы, то очень рекомендую: подписаться на канал @mudryidoctorKAA и (не или) купить книгу В ритме скорой🚑
А если вы врач, то у вас есть и прекрасная возмо…
💊🧫 Дифтерия: токсину антибиотик не указ
Дифтерия может начаться с боли в горле и невысокой температуры, а привести к миокардиту и полинейропатии.
Пока врач осматривает миндалины, проблема уже может выходить далеко за их пределы.
Антибиотик действует на бактерию, но не обезвреживает выделенный ею токсин.
❗️Для этого нужен противодифтерийный антитоксин.
И у него есть ограничение: он нейтрализует циркулирующий токсин…
Вот почему-то ситуация со столбняком так сильно не возбудила общественность, как чума. А зря... Где столбняк, там и дифтерия. И эта угроза намного более реальная, чем распространение чумы.
🩹Почему я болею без температуры?
Частый вопрос. И вот вам один из возможных факторов влияния на температурную реакцию - бактерии в вашем кишечнике.
Вчера в журнале Science вышла статья, в которой изучали повышение температуры после вакцинации против СOVID-19 в зависимости от качественного состава кишечной микробиоты.
Некоторые виды жгутиковых бактерий поддерживают минимальное хроническое воспаление в кишечнике за…
"Антибиотики уникальны тем, что имеют ограниченный срок эксплуатации", - так вчера начался семинар по антимикробной терапии.
И действительно, когда мы говорим о препаратах других фармакологических групп, то причины, по которым "старые" лекарства перестают использоваться - это изобретение более совершенных средств (чаще всего, как следствие прогресса в понимании патогенеза заболевания и открытия новых мишеней).
Напри…
Посетила семинар от горячо уважаемой МАКМАХ @iacmac
🤩Организационные заметки:
🤩Спасибо спонсору за возможность вживую и абсолютно бесплатно послушать специалистов по антимикробной терапии из ведущей в стране ассоциации и задать свои вопросы🤓
🤩Спасибо смоленским коллегам за то, что в условиях спонсируемого мероприятия соблюдается здравый смысл и приоритет научного подхода🤓
🤩На контрасте - даже антибиотики можно от…
Ветрянка и инсульт
🧠В течение года после перенесенной ветрянки или опоясывающего герпеса повышен риск инсульта.
👶До трети детских ишемических инсультов в непривитой популяции ассоциированы с недавней активностью вируса Varicella Zoster
👶💉Для популяции, где внедрена массовая вакцинация от ветряной оспы, такая ассоциация отмечается реже - в 9,8% случаев (исследование VIPS II в Северной Америке и Австралии)
👵🏻У взр…
Коллеги, важная информация для тех, кто планировал обучение в Школе инфекционных болезней
🤩21 сентября старует 6 поток курса Инфекции: за гранью видимого
🤩После это мы закрываем набор в школу на 2027 год🤩
2027 мы полностью посвятим инфекциям, вызванным вирусами группы герпесов🤩 Доступ к этому обучению только у выпускников курса Инфекции: за гранью видимого
🤩Так что, если вы ждали знак, то это он!
🤩Добро пожалова
Нарендра Моди на Деловом форуме БРИКС в Нью-Дели:
Мы договорились о создании интегрированной системы БРИКС для реагирования на вспышки инфекционных заболеваний и о предупреждении о таких вспышках
Абсолютно не претендую на экспертное мнение, т.к. не имею отношения к организации здравоохранения. Но по-моему, совместные проекты в сфере контроля распространения инфекций в рамках БРИКС - это перспектива глобально расшири…
💉Как вам рекомендую, так и сама делаю.
💉Мелкий через месяц пойдёт еще за второй дозой, т.к. это его первая вакцинация от гриппа.
❤82👍29🔥9😱1
Showing the 12 most recent of 34 posts we hold for @infodoc. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 34 most recent posts we hold, published 26 June 2026 to 26 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
MAMA_SINKA @mama_sinka · 40,612 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 29 August 2026
Невролог Стецкая Татьяна | ️doctor_steckaya 💊🩺 @doctor_steckaya · 32,606 Telegram ranks this channel #12 of 96 here — alongside 95 others — read 4 September 2026
Занудная педиатрия — Роман Шиян @drshnr · 37,014 Telegram ranks this channel #13 of 94 here — alongside 93 others — read 1 September 2026
ДОКТОР ХАН @doctorkhanstanislav · 57,312 Telegram ranks this channel #13 of 97 here — alongside 96 others — read 23 August 2026
Кардиолог Новикова Диана Сергеевна @cardiolognovikova · 24,353 Telegram ranks this channel #15 of 96 here — alongside 95 others — read 15 September 2026
ImmunoBee @immunobee1 · 103,899 Telegram ranks this channel #16 of 95 here — alongside 94 others — read 16 August 2026
Docma.ru - ДОКАЗАТЕЛЬНАЯ МЕДИЦИНА @Docma_ru · 41,698 Telegram ranks this channel #17 of 98 here — alongside 97 others — read 29 August 2026
Аллергология для чайников с Ольгой Жоголевой @allergo_doc · 39,379 Telegram ranks this channel #19 of 96 here — alongside 95 others — read 31 August 2026
doctor_annamama @doctor_annamama · 82,264 Telegram ranks this channel #23 of 90 here — alongside 89 others — read 18 August 2026
Психотерапевт Наталья Зайцева @psy_factum · 23,675 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 17 September 2026
dnevnikdoctora @dnevnikdoctora · 45,184 Telegram ranks this channel #30 of 98 here — alongside 97 others — read 27 August 2026
Дерматология Быканова @dr_bykanov · 62,233 Telegram ranks this channel #30 of 97 here — alongside 96 others — read 21 August 2026
coroner's word 💀 @sudmed_words · 21,262 Telegram ranks this channel #31 of 90 here — alongside 89 others — read 23 September 2026
ninavaccina @ninavaccina · 90,384 Telegram ranks this channel #32 of 96 here — alongside 95 others — read 17 August 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич @ag_kharitonov · 58,836 Telegram ranks this channel #33 of 99 here — alongside 98 others — read 22 August 2026
Клинфарм замес | Евгений Никитин @tgnikitin · 44,077 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 28 August 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,226 Telegram ranks this channel #38 of 94 here — alongside 93 others — read 3 September 2026
Доктор Неешпапа 🫁 /doctor_neeshpapa/ @doctor_neeshpapa · 31,794 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 5 September 2026
Doctor_marusenyka @sovetdaymotiv · 23,797 Telegram ranks this channel #52 of 97 here — alongside 96 others — read 17 September 2026
Шура-док @schura_doc · 25,340 Telegram ranks this channel #55 of 94 here — alongside 93 others — read 18 September 2026
Смотровая Военврача @dr_voenvrach · 45,377 Telegram ranks this channel #55 of 98 here — alongside 97 others — read 28 August 2026
Заметки детского врача @DrButriy · 137,591 Telegram ranks this channel #55 of 95 here — alongside 94 others — read 13 August 2026
Доктор Молодой @doctor_dmolodoy · 61,391 Telegram ranks this channel #62 of 94 here — alongside 93 others — read 22 August 2026
Занимательная эндокринология @funwithmedicine · 22,756 Telegram ranks this channel #65 of 98 here — alongside 97 others — read 20 September 2026
This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Infodoc” (@infodoc), 18,655 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/infodoc.
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.