Telegram RegisterThe public register of Telegram

Channel

Sons of Medicine

@sonsofmedicine

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,503subscribers

+2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001113069322
TypeChannel
Username@sonsofmedicine
Created24 October 2017measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/sonsofmedicine

Growth

1,5011,5031,5026 August 2026 — 1,501 subscribers6 August 2026 — 1,501 subscribers6 August 2026 — 1,502 subscribers10 August 2026 — 1,501 subscribers12 August 2026 — 1,503 subscribers6 August 202612 August 2026
5 measurements spanning 7 days, net +2. 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 1,501–1,503 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:431,503+2
10 Aug 2026, 00:431,501-1
6 Aug 2026, 14:401,502+1
6 Aug 2026, 07:451,501no change
6 Aug 2026, 02:021,501first reading

Engagement

11 posts held, back to 10 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
157.5%
avg views ÷ 1,503 subscribers
Avg views / post
2,370
5 posts measured
Reaction rate
0.443%
reactions ÷ views · ER floor
Posts in window
5
of 11 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 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 3 August 2026
Posts held11 (10 June 20263 August 2026)
Views total11,836
Reactions total51
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:13 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.

Reaction mix

133 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 42.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5742.9%
🔥3022.6%
👍2418.0%
👏1410.5%
🌭64.51%
👀10.752%
💔10.752%

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 10 of the 11 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 133reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 10 June 2026 to 3 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.

Recent posts

3 Aug 2026, 10:45 UTC≈1,990 views7 reactionsread 7 August 2026
Photo

🪱👁Краткая история колоноскопии — I Мало какая процедура имеет такой пугающий для многих нерадивых пациентов флёр, как колоноскопия. Хотя исследование это крайне полезное и способное спасти жизнь, вовремя показав различные новообразования в кишечнике. Например, в 1985 году колоноскопия спасла жизнь президенту США Рональду Рейгану — врачи обнаружили у него злокачественный полип и вовремя вырезали почти метр кишечника.

🌭6👀1

31 Jul 2026, 20:43 UTC321 viewsread 7 August 2026
Forwarded from @iqdocai

Ваши лимиты обновлены На бесплатном тарифе теперь доступно 35 запросов к ИИ в неделю. Это единый лимит для сайта, Telegram и MAX — он обновляется в начале каждой недели. Сейчас всем пользователям доступно 35 запросов, которые будут обновлены в 00:00 по МСК в понедельник. И так каждую неделю. Чтобы использовать IQDOC AI без лимита, вы можете приобрести подписку за 790 рублей в месяц: https://iqdoc.ai/chat?tab=payme

28 Jul 2026, 13:22 UTC565 views15 reactionsread 7 August 2026
Photo

😨В японской мифологии и народной памяти долгое время обитало подлое и жестокое чудовище, которое боялось собак, любило красный цвет и остервенело нападало на детей. Имя ему Хососин, или Хосогами, — дух оспы. Страх перед ним возник не на пустом месте: во время эпидемии 735–737 годов натуральная оспа убила треть населения Японских островов. Ритуалы, «танцы львов» и окрашивание стен детских комнат в красный цвет, разум

10🔥5

21 Jul 2026, 09:07 UTC≈5,660 views14 reactionsread 7 August 2026
Photo

☠️В интернете можно встретить историю о немецком медицинском трактате Opera medica theoretico-practica, якобы изданном врачом Михаэлем Эттмюллером в 1692 году. Труд был популярен в Европе и, как утверждается, пропагандировал… медицинский каннибализм. Эттмюллеру приписывают советы использовать в качестве лекарств человеческую плоть, кости, плаценту, кровь, слизь и другие жидкости, особенно ценя тела казнённых или внез

👍12👏2

15 Jul 2026, 11:54 UTC≈3,300 views15 reactionsread 7 August 2026
Photo

☠️18 марта 1919 года у Кремлёвской стены было предано земле тело Якова Свердлова — на момент смерти формального главы Советской России, Председателя Всероссийского Центрального Исполнительного Комитета. Несмотря на пышность похорон (состоялось и специальное траурное заседание ВЦИК), ни Ленин, ни Зиновьев, ни Каменев, ни Бухарин, ни советская пресса практически не пытались объяснить, от чего умер 33-летний мужчина в р

👍103👏1🔥1

7 Jul 2026, 12:06 UTC≈4,650 views13 reactionsread 7 August 2026
Photo

🤪Сравнительно известный в узких кругах документ — брошюра-памфлет эпохи Первой Мировой войны под авторством именитого светила отечественной психиатрии профессора В.М. Бехтерева. В «Вильгельме — дегенерате нероновского типа» психиатр попытался применить свою психопатологическую концепцию к личности германского кайзера Вильгельма II и объяснить его политику через особенности характера и психики. Главная идея примерно

🔥93💔1

26 Jun 2026, 11:31 UTC781 views4 reactionsread 7 August 2026
Forwarded from @iqdocaiPhoto

100 медицинских калькуляторов в мессенджере Большое обновление нашего бота с калькуляторами. Добавили 33 новых инструмента, и теперь общее количество калькуляторов, шкал и справочников — 100. Просим поделиться с коллегами, особенно тем, кому нужно заполнять направление на МСЭ 🙏. Что нового в обновлении: 🏥 Новая большая папка «Оргздрав» Добавили инструменты для повседневной административной работы врача: сроки боль

4

21 Jun 2026, 17:11 UTC≈6,990 views35 reactionsread 7 August 2026
Photo

Ко дню медицинского работника от объединенной редакции SoM и Medach Если кому-то сказать, что существует такая работа, где надо одновременно быть учёным, биологом, грузчиком, инженером, спасателем, юристом, «айтишником», священником, психологом, клоуном, социальным работником и педагогом за зарплату, которую «ни в страшной сказке сказать, ни пером описать», в условиях, близких к режиму «хардкор», и под постоянным да

25👏10

18 Jun 2026, 09:29 UTC≈3,350 views10 reactionsread 7 August 2026
Photo

🦷🪥В северо-западной части Алтайских гор, на юго-западе Сибири, в Чагырской пещере отечественные ученые нашли зуб. И эта находка очень обрадовала исследователей во всем мире. Почему? Дело не в том, что зуб принадлежал кому-то особенно важному или обладал «магической силой», а в том, что он позволил подтвердить то, что раньше считалось лишь предположением: неандертальцы не просто знали о зубных заболеваниях, понимали и

🔥10

11 Jun 2026, 15:37 UTC≈3,310 views8 reactionsread 7 August 2026
Photo

👁«Бесстыдство — двигатель невежества». Часть 2. Как шарлатан убил Баха В прошлый раз мы остановились на том, что слава офтальмолога Джона Тейлора продолжала расти. К середине 1730-х годов он получил почётные докторские степени во Франции, Кёльне и Швейцарии, а затем вернулся в Лондон, где был назначен личным офтальмологом короля Георга II. Однако ни связи, ни известность не помогли ему справиться с вечной проблемой

4👍2👏1🔥1

10 Jun 2026, 08:30 UTC≈3,030 views12 reactionsread 7 August 2026
Photo

🫵🍾🕔Врач как друг и как лекарство В 1768 году русский врач и переводчик Пётр Иванович Погоретский издал перевод сочинения ренессансного «венецианина» Лудовика Корнелия (Луиджи Корнаро) под названием «Опыт о пользе трезвыя жизни». Среди рассуждений о здоровье и долголетии, и важности ограничения калорий, там встречается неожиданно современная мысль о роли врача в лечении. Погоретский пишет (ну, точнее венецианин): «Е

8🔥4

Showing the 11 most recent of 11 posts we hold for @sonsofmedicine. 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.

Citation-graph rank

Citation-graph rank — 58,056 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 7 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.

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Sons of Medicine” (@sonsofmedicine), 1,503 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/sonsofmedicine.

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.