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 72% 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
11 measurements spanning 43 days, net -6. 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 7,845–7,873 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 07:56
7,852
+4
14 Sept 2026, 12:20
7,848
-7
10 Sept 2026, 19:38
7,855
-14
5 Sept 2026, 10:57
7,869
+3
29 Aug 2026, 07:04
7,866
-3
20 Aug 2026, 04:42
7,869
+2
17 Aug 2026, 12:34
7,867
-3
14 Aug 2026, 13:17
7,870
+2
11 Aug 2026, 02:05
7,868
+10
7 Aug 2026, 15:45
7,858
no change
7 Aug 2026, 15:37
7,858
first reading
Engagement
6 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 18 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
67 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 67.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
45
67.2%
🔥
15
22.4%
❤
7
10.4%
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 5 of the 6 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 30 July 2026 to 7 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.
Стало известно, что Школа функциональной диагностики в Хабаровске 10-11 сентября получила официальную поддержку Минздрава Хабаровского края.
Согласно распоряжению Минздрава Хабаровского края, врачи разных специальностей, а не только функционалисты, будут официально направлены на мероприятие руководством медицинских организаций края. Если есть возможность и хотите принять участие (и трудитесь в Хабаровском крае) мож…
Издательство ГЭОТАР-медиа выдвинуло книгу Д.В.Дроздова и соавт. по вычислительной векторэлектрокардиографии на литературную премию в области специальной литературы. Сейчас идет общественное голосование на сайте премии https://crowd.fom.ru/project/premiadoc2026/task/9821/solution/28929
Для участия в голосовании потребуется зарегистрироваться на сайте или использовать вход через ВКонтакте или ОдноКлассники. Ссылка пров…
Еще один "книжный" пост... Попал в руки (при этом утверждают, что последний экземпляр) "Большой атлас ЭКГ" С.С.Ярцева.
В книге 300 ЭКГ, представленных по образу и подобию известного атласа Ф.Циммермана: ЭКГ и комментарий к ней. Кроме этого, есть краткий электрокардиографический словарь, и "фразеологизмы, часто используемые в ЭКГ-заключениях", и краткая "шпаргалка" ЭКГ. Несомненным удобством для использования книги я…
Showing the 6 most recent of 6 posts we hold for @Clinical_Physiology_Ru. 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.
Готовы ли Вы приобрести книгу типа атлас ЭКГ с описаниями?
Да, однозначно, куплю, если попадется31%
Приобрету только после ознакомления лично или с непредвзятыми отзывами47%
Книги такого формата не интересуют в принципе9%
Готов(а) ознакомиться в библиотеке, но не приобретать для себя12%
Shares as published, totalling 99%. 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 6 most recent posts we hold, published 30 July 2026 to 7 August 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.
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.
Tibbiyot va farmasevtika xodimlarining malakasini baholash markazi @tibtoifa · 42,219 Telegram ranks this channel #68 of 70 here — alongside 69 others — read 1 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Функциональная диагностика” (@Clinical_Physiology_Ru), 7,852 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Clinical_Physiology_Ru.
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.