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 why it has no browse page of its own yet.
Growth
34 measurements spanning 52 days, net +17. 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 34
Measured (UTC)
Subscribers
Change
27 Sept 2026, 03:17
18,673
-4
17 Sept 2026, 15:20
18,677
+3
15 Sept 2026, 11:39
18,674
-5
13 Sept 2026, 21:41
18,679
-4
12 Sept 2026, 06:38
18,683
-2
10 Sept 2026, 01:57
18,685
-5
6 Sept 2026, 21:17
18,690
-3
4 Sept 2026, 11:36
18,693
+13
3 Sept 2026, 00:08
18,680
+39
1 Sept 2026, 20:43
18,641
-3
31 Aug 2026, 02:07
18,644
-6
30 Aug 2026, 01:38
18,650
-2
29 Aug 2026, 04:35
18,652
-4
28 Aug 2026, 01:28
18,656
+1
27 Aug 2026, 03:17
18,655
-1
26 Aug 2026, 04:16
18,656
+1
24 Aug 2026, 01:08
18,655
-8
22 Aug 2026, 10:45
18,663
-12
20 Aug 2026, 22:39
18,675
-7
19 Aug 2026, 23:38
18,682
first reading
Engagement
22 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.9%
avg views ÷ 18,673 subscribers
Avg views / post
2,220
1 post measured
Reaction rate
6.98%
reactions ÷ views · ER floor
Posts in window
1
of 22 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 2 September 2026
Posts held
22 (26 June 2026 – 2 September 2026)
Views total
2,220
Reactions total
155
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 02:22 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 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
2,282 reactions across 21 posts, in 22 distinct kinds. The most used accounts for 54.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,241
54.4%
👍
389
17.0%
🔥
226
9.90%
😱
114
5.00%
💯
103
4.51%
🤮
57
2.50%
❤🔥
42
1.84%
😢
23
1.01%
🙈
11
0.482%
✍
10
0.438%
🤔
9
0.394%
🤷♂
9
0.394%
👏
8
0.351%
🕊
8
0.351%
😭
8
0.351%
🤯
7
0.307%
💩
5
0.219%
🙏
4
0.175%
🤡
3
0.131%
🥴
3
0.131%
2 further kinds
2
0.088%
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 21 of the 22 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 2,282 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 26 June 2026 to 2 September 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.
🤔Заметили, что уже сентябрь, а до сих пор нет призывов вакцинироваться от гриппа? Вакцины до сих пор не поступили в оборот. Почему?
В этом году рекоменованный состав противогриппозных вакцин претерпел значимые изменения:
🤩Во-первых, ВОЗ рекомендовала убрать один из штаммов вируса гриппа В, т.к. его циркуляция в популяции завершилась. А это значит, что мы снова возвращаемся к трехвалентным вакцинам. Четырехвалентные…
Один материал, две лаборатории — и сальмонеллы разных групп. Как такое возможно? 😧
Если не грузится видео, смотрите в MAX.
С такой ситуацией столкнулась врач-инфекционист Дарья Паниева. Пока она объясняла пациентке, почему результаты исследований разошлись, сформулировала важную мысль:
лабораторный диагноз, как и клинический, не появляется в готовом виде
Клиницист собирает анамнез, оценивает жалобы и данные осмотр…
Коллеги, внимание!
22.08 в 19:00 врач лабораторной диагностики, бактериолог 🔥Валерия Газина @docproanalizi🔥 откроет для клиницистов двери баклаборатории и покажет, что и как там происходит. Нам точно не хватает этих знаний, чтобы выстраивать диалог с лабораторией и работать одной командой🤩🤩
❗️Все подробности, как попасть на встречу, в посте ниже👇👇👇👇
❤️❤️❤️Выпускники Школы инфекционных болезней, знаю, что многие из…
Вот вам и бабушкин антибиотик
💊Бисептол (ко-тримоксазол) при мочевой инфекции. Мнения о его применении разделились полярно. От "неэффективно и вредно" до "единственное, что работает"🤔
Хочу сегодня на этом примере немного обозначить, как выбирается антибиотик.
🔎Первый этап - эмпирический. Когда еще нет результатов посева мочи. В нём мы опираемся на локальные данные о распространности возбудителей и их профиле чувст…
Что сильнее повышает иммунитет?
💋Иммуномодуляторы💋
💋Инфекции💋
💋Вакцины💋
💋ЗОЖ 💋
Разберёмся по порядку, но для начала - сам вопрос некорректный🙈
Иммунитет - это результат ответа иммунной системы на какой-то стимул. На сформированный иммунитет повлиять нельзя, только на процесс, т.е. на иммунную реакцию, во время которой происходит множество скоординированных процессов.
💋💋💋💋💋💋💋💋
💋💋💋💋💋💋💋💋💋💋💋 способны усиливать отдель…
Что ж, я созрела написать для вас про псевдодиагностику по живой капле крови.
Пост на дзене, чтобы вам было удобнее "следить за руками". Там много картинок по ходу повествования.
Вот ссылка для чтения и репостов:
https://dzen.ru/a/ans8gNfenA5rYB09
А тут в комментариях можно поделиться впечатлениями.
Я не знаю, сколько часов вирусы "живут" на поверхностях. И расскажу, почему вам тоже не нужна эта информация.
Современные тест-системы ориентированы на выявление генетического материала вируса. Это значит, что пока не разрушилась ДНК или РНК, высока вероятность получить положительный результат. Чем чувствительнее становятся тесты, тем дольше будет обнаруживаться вирус.
С клинической точки зрения эта информация нам …
Дифтерия — инфекция с вайбом XIX века. Многие думают, что она давно в прошлом, кто-то вообще про нее никогда не слышал. На самом деле дифтерия также опасна в XXI веке, как в XIX. О ней, о дифтерии — новый выпуск подкаста «2 прививки в 1 день».
💥В нём врач-инфекционист, гепатолог, автор блога Infodoc, член экспертного совета «Коллективного иммунитета» Дарья Паниева познакомит вас с медицинским триллером в жанре зомби…
Благодаря АНО "Коллективный иммунитет" попробовала себя в новом жанре - записала фрагмент для подкаста про дифтерию.
Мне понравилось) А вам?
🔥30❤9
Showing the 12 most recent of 22 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 22 most recent posts we hold, published 26 June 2026 to 2 September 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 9 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 · 40,842 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 29 August 2026
Невролог Стецкая Татьяна | ️doctor_steckaya 💊🩺 @doctor_steckaya · 32,723 Telegram ranks this channel #12 of 96 here — alongside 95 others — read 4 September 2026
Занудная педиатрия — Роман Шиян @drshnr · 37,118 Telegram ranks this channel #13 of 94 here — alongside 93 others — read 1 September 2026
ДОКТОР ХАН @doctorkhanstanislav · 56,920 Telegram ranks this channel #13 of 97 here — alongside 96 others — read 23 August 2026
Кардиолог Новикова Диана Сергеевна @cardiolognovikova · 24,560 Telegram ranks this channel #15 of 96 here — alongside 95 others — read 15 September 2026
ImmunoBee @immunobee1 · 104,358 Telegram ranks this channel #16 of 95 here — alongside 94 others — read 16 August 2026
Docma.ru - ДОКАЗАТЕЛЬНАЯ МЕДИЦИНА @Docma_ru · 41,842 Telegram ranks this channel #17 of 98 here — alongside 97 others — read 29 August 2026
Аллергология для чайников с Ольгой Жоголевой @allergo_doc · 39,388 Telegram ranks this channel #19 of 96 here — alongside 95 others — read 31 August 2026
doctor_annamama @doctor_annamama · 82,960 Telegram ranks this channel #23 of 90 here — alongside 89 others — read 18 August 2026
Психотерапевт Наталья Зайцева @psy_factum · 23,914 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 17 September 2026
dnevnikdoctora @dnevnikdoctora · 45,050 Telegram ranks this channel #30 of 98 here — alongside 97 others — read 27 August 2026
Дерматология Быканова @dr_bykanov · 62,568 Telegram ranks this channel #30 of 97 here — alongside 96 others — read 21 August 2026
coroner's word 💀 @sudmed_words · 21,540 Telegram ranks this channel #31 of 90 here — alongside 89 others — read 23 September 2026
ninavaccina @ninavaccina · 89,921 Telegram ranks this channel #32 of 96 here — alongside 95 others — read 17 August 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич @ag_kharitonov · 58,905 Telegram ranks this channel #33 of 99 here — alongside 98 others — read 22 August 2026
Клинфарм замес | Евгений Никитин @tgnikitin · 44,506 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 28 August 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,435 Telegram ranks this channel #38 of 94 here — alongside 93 others — read 3 September 2026
Доктор Неешпапа 🫁 /doctor_neeshpapa/ @doctor_neeshpapa · 31,985 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 5 September 2026
Doctor_marusenyka @sovetdaymotiv · 23,895 Telegram ranks this channel #52 of 97 here — alongside 96 others — read 17 September 2026
Шура-док @schura_doc · 25,537 Telegram ranks this channel #55 of 94 here — alongside 93 others — read 18 September 2026
Смотровая Военврача @dr_voenvrach · 44,504 Telegram ranks this channel #55 of 98 here — alongside 97 others — read 28 August 2026
Заметки детского врача @DrButriy · 137,931 Telegram ranks this channel #55 of 95 here — alongside 94 others — read 13 August 2026
Доктор Молодой @doctor_dmolodoy · 61,977 Telegram ranks this channel #62 of 94 here — alongside 93 others — read 22 August 2026
Занимательная эндокринология @funwithmedicine · 22,742 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 27 September 2026 — this
entry's latest reading, not the date you are reading this.
“Infodoc” (@infodoc), 18,673 subscribers as measured 27 September 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.