Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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
31 measurements spanning 34 days, net +10. 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 143,056–143,267 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
9 Sept 2026, 11:20
143,134
-4
6 Sept 2026, 07:01
143,138
+34
4 Sept 2026, 00:42
143,104
-6
2 Sept 2026, 11:43
143,110
-24
1 Sept 2026, 12:43
143,134
-59
31 Aug 2026, 10:48
143,193
+47
30 Aug 2026, 13:27
143,146
-13
29 Aug 2026, 16:27
143,159
-42
28 Aug 2026, 15:17
143,201
+17
27 Aug 2026, 16:17
143,184
+19
26 Aug 2026, 13:04
143,165
-33
25 Aug 2026, 12:59
143,198
-36
24 Aug 2026, 15:27
143,234
-9
23 Aug 2026, 02:18
143,243
+34
21 Aug 2026, 11:53
143,209
-3
20 Aug 2026, 12:42
143,212
+72
19 Aug 2026, 16:08
143,140
+49
18 Aug 2026, 13:04
143,091
+11
17 Aug 2026, 15:38
143,080
-12
16 Aug 2026, 08:18
143,092
first reading
Engagement
192 posts held, back to 31 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 73 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 143,134 subscribers
Avg views / post
14,700
156 posts measured
Reaction rate
1.32%
reactions ÷ views · ER floor
Posts in window
156
of 192 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 8 September 2026
Posts held
192 (31 July 2026 – 8 September 2026)
Views total
2,287,480
Reactions total
30,283
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Sept 2026, 05:31 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
27m 51s
Average length
1m 44s
Measured directly from 16 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
35,041 reactions across 182 posts, in 25 distinct kinds. The most used accounts for 26.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤡
9,166
26.2%
❤
5,638
16.1%
🤣
3,833
10.9%
👍
2,694
7.69%
😱
2,676
7.64%
🤬
1,892
5.40%
👏
1,765
5.04%
😢
1,341
3.83%
😡
1,097
3.13%
🤮
1,054
3.01%
👎
725
2.07%
😭
556
1.59%
😁
542
1.55%
🔥
530
1.51%
👀
528
1.51%
🙏
516
1.47%
🤔
175
0.499%
🗿
121
0.345%
🍾
76
0.217%
🎉
57
0.163%
5 further kinds
59
0.168%
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 192 of the 192 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 36,880 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 192 most recent posts we hold, published 31 July 2026 to 8 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.
Advertising
Ad load
0.521%
1 of 192 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
13,200
over 1 measured post
Median views · rest
12,200
over 191 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjcZo8zP
1
22 August 2026
22 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 192 most recent posts we hold, published 31 July 2026 to 8 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
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Председатель комитета по здравоохранению Санкт-Петербурга Андрей Сарана заявил, что дефицит врачей в городе сохраняется, и прежде всего в первичном звене и на скорой помощи. При этом формальная укомплектованность врачебных должностей составляет 100%, а медицинскими сёстрами — 97%.
«Дефицит с…
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Ещё в мае 2019 года в областном научно-клиническом онкологическом центре у аппарата лучевой терапии заклинило подъёмный механизм, стол с 51-летней пациенткой резко поднялся, и её зажало между поверхностью стола и коллиматором. От полученных травм женщина скончалась на месте, передает пресс-служба судов …
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⚡️ Владимирский минздрав объяснил, почему сокращённому онкологу высшей категории предложили должность уборщицы
В министерстве здравоохранения Владимирской области сообщили, что решение о сокращении двух должностей заместителей главного врача Областного клинического онкодиспансера принято исходя из экономической целесообразности и приоритета медицинского персонала над управленческим. Такой ответ за подписью и. о. мин…
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Ранее девочке уже вызывали скорую помощь, но тогда госпитализация в инфекционный стационар не состоялась. При последующем ухуд…
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Медучреждение работало с 19 часов вечера и до поздней ночи. Пациенты прошли лабораторные и инструментальные исследования, консультации терапевта, врача медицин…
🤬234🤡117🤣26👎17🤮9❤5👍2🔥1
Showing the 12 most recent of 192 posts we hold for @mediamedics. 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.
Posts edited after publishing
@mediamedics edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
9 August 2026
Most recent edit
9 September 2026
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 62 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Юрист для врача Ангелина Романовская @mfcexpert_news · 29,481 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 8 September 2026
Немедицина @ybody · 40,913 Telegram ranks this channel #1 of 61 here — alongside 60 others — read 29 August 2026
Медсестра! @msestra · 45,008 Telegram ranks this channel #2 of 94 here — alongside 93 others — read 27 August 2026
Минздрав России @minzdrav_ru · 53,571 Telegram ranks this channel #3 of 94 here — alongside 93 others — read 24 August 2026
ЗдравКонтроль @martynovevgueni · 219,023 Telegram ranks this channel #11 of 96 here — alongside 95 others — read 11 August 2026
Без рецепта @bezrec · 31,767 Telegram ranks this channel #14 of 98 here — alongside 97 others — read 5 September 2026
Доктор Егоров @doctorilyaegorov · 33,162 Telegram ranks this channel #18 of 92 here — alongside 91 others — read 4 September 2026
Московская медицина @dzdmos · 230,221 Telegram ranks this channel #22 of 96 here — alongside 95 others — read 11 August 2026
Мурашко по коже 🩺🏥 @murashko_med · 135,359 Telegram ranks this channel #27 of 96 here — alongside 95 others — read 13 August 2026
Доктор Молодой @doctor_dmolodoy · 61,983 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 22 August 2026
ДОКТОР АБАКУМОВ @drabakumof · 147,220 Telegram ranks this channel #44 of 87 here — alongside 86 others — read 12 August 2026
Медицинская Литература @clinirec · 34,016 Telegram ranks this channel #47 of 84 here — alongside 83 others — read 4 September 2026
Записки врача @doctors_memoirs · 30,689 Telegram ranks this channel #49 of 95 here — alongside 94 others — read 7 September 2026
Клинфарм замес | Евгений Никитин @tgnikitin · 44,638 Telegram ranks this channel #51 of 87 here — alongside 86 others — read 28 August 2026
ninavaccina @ninavaccina · 89,822 Telegram ranks this channel #52 of 96 here — alongside 95 others — read 17 August 2026
Пей таблетки! | MedIQLab @mediq · 66,039 Telegram ranks this channel #56 of 93 here — alongside 92 others — read 21 August 2026
Доктор Гребешкова @doctor_grebeshkova · 34,524 Telegram ranks this channel #58 of 83 here — alongside 82 others — read 3 September 2026
Заметки детского врача @DrButriy · 138,103 Telegram ranks this channel #58 of 95 here — alongside 94 others — read 13 August 2026
Образ жизни @rflifestyle · 38,612 Telegram ranks this channel #60 of 95 here — alongside 94 others — read 31 August 2026
SYNAPSE I СИНАПС @synapse_channel1 · 40,050 Telegram ranks this channel #62 of 88 here — alongside 87 others — read 4 September 2026
Нефролог I Данила Пыриков @pyrikov · 67,585 Telegram ranks this channel #63 of 98 here — alongside 97 others — read 20 August 2026
Доктор Неешпапа 🫁 /doctor_neeshpapa/ @doctor_neeshpapa · 32,111 Telegram ranks this channel #64 of 96 here — alongside 95 others — read 5 September 2026
ДОКТОР ХАН @doctorkhanstanislav · 56,783 Telegram ranks this channel #64 of 97 here — alongside 96 others — read 23 August 2026
Записки судмедэксперта @sudmednotes · 169,020 Telegram ranks this channel #64 of 80 here — alongside 79 others — read 12 August 2026
This channel appears in 39 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.
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.
Hacker News
This handle was named once in a Hacker News comment or story, via the public Algolia search API. HN comment and story text has no confirmed reuse licence, so nothing quoted from either is reproduced here — only that a mention exists, when, and by whom, with a link to read it at the source.
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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Медицинская Россия” (@mediamedics), 143,134 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/mediamedics.
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.