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Channel

Real Medicine

@thepainisreal

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

1,423subscribers

-1 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-1001397475635
TypeChannel
Username@thepainisreal
Created15 May 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/thepainisreal

Growth

1,4231,4241,423.56 August 2026 — 1,424 subscribers6 August 2026 — 1,424 subscribers9 August 2026 — 1,423 subscribers6 August 20269 August 2026
3 measurements spanning 4 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 1,423–1,424 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 23:321,423-1
6 Aug 2026, 07:481,424no change
6 Aug 2026, 06:211,424first reading

Engagement

20 posts held, back to 28 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.2%
avg views ÷ 1,423 subscribers
Avg views / post
544
8 posts measured
Reaction rate
2.62%
reactions ÷ views · ER floor
Posts in window
9
of 20 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
WindowRolling 30 days · latest post in window 1 August 2026
Posts held20 (28 June 20261 August 2026)
Views total4,351
Reactions total114
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 07:48 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.

Recent posts

1 Aug 2026, 16:26 UTC≈264 views31 reactionsread 6 August 2026

Умер Гюнтер фон Хагенс. Для большинства людей это вообще неизвестный кекс. Но он известен по интересной теме: он изобрёл и довёл до реальности пластинацию — метод сохранения трупов с анатомической перфекцией. Скандальный товарищ, который делал выставки пластиковых трупов. Перформанс, если хотите. Я на этом перформансе был, в Москве на ВДНХ. Скину первое попавшееся "ревью" — можете сами оценить картиночки. Если г

28 Jul 2026, 19:46 UTC≈321 views4 reactionsread 6 August 2026

К чему картинка? Я тут накопал статистику по выгоранию врачей. Только цифры, без пафоса. Мета-анализ 2026 года (17 963 врача) даёт 52% — каждый второй. У ординаторов(это как бы ты закончил медвуз, но ещё не врач) — 51%. В Китае вообще 75%. В Норвегии за 12 лет выгорание среди терапевтов выросло с 5,8% до 21,8%. В одной американской системе — с 35% в 2013 до 56% в 2020. Пандемия добавила: пик — 60,7%. Но есть нюанс

28 Jul 2026, 18:10 UTC≈299 views15 reactionsread 6 August 2026
Photo

Немножко в тему профессионального выгорания

25 Jul 2026, 17:42 UTC≈355 views4 reactionsread 6 August 2026

Так, давайте кто смотрел. Делитесь впечатлениями!

23 Jul 2026, 14:43 UTC≈401 views13 reactionsread 6 August 2026
File

Аргон животворящий Я ранее писал про инертные газы, но обошёл стороной аргон и то, как он залетел в медицину. Залетел он на мировую арену как органопротектор, в частности как защитник нервной системы. И пальму первенства в этом открытии несёт наша страна в лице коллег из Института медико-биологических проблем. Коллеги занимались интересной проблемой: как во время пожара в замкнутом пространстве (например, шлюз под

22 Jul 2026, 07:24 UTC≈326 views5 reactionsread 6 August 2026

Я тут периодически натыкаюсь на медицинские новости. Да, я понимаю, Mash — не славится высокой журналистикой, и отчасти поэтому его прикольно читать. Так вот, новость. Ситуация трагичная: остановка сердца после острых рёбрышек. Товарищам с «острых шоу» надо бы подзадуматься. Главное в этой новости — противоречия. Через предложение пишут, что «ментально он на уровне ребёнка, речь сохранилась, краткосрочная память не

17 Jul 2026, 10:27 UTC≈2,090 views22 reactionsread 6 August 2026
Photo

Друзья, я опять со своими инертными газами! Мы с Вячеславом Альбертовичем Дубыниным записали подкаст. Для тех, кто не в курсе: Вячеслав Альбертович — доктор биологических наук, профессор кафедры физиологии человека и животных биологического факультета МГУ, ведущий научный сотрудник, один из самых ярких популяризаторов науки в России. Если вы когда-нибудь смотрели лекции про мозг, физиологию или нейробиологию — наве

16 Jul 2026, 08:09 UTC≈430 views9 reactionsread 6 August 2026

Уимблдон, слёзы и целеустремлённость. Тут недавно закончился Уимблдон. Для тех, кто не в курсе, — это самый старый и известный теннисный турнир, который проходит в Лондоне. Из наших ребят Роман Сафиуллин прошёл дальше всех. И там такая традиция: после матча у победителя берут интервью на корте. У Романа это интервью получилось очень эмоциональным и, на мой личный взгляд, очень сильным. Он вчистую обыграл бразильца

15 Jul 2026, 13:49 UTC≈489 views16 reactionsread 6 August 2026

Есть такой обзор по мотивам видео выше. Там сравнили, что реально работает при острой и подострой неспецифической боли в спине. 46 исследований, 8765 пациентов. Для снижения боли в краткосрочной перспективе (первые дни-недели) по сравнению с плацебо: — ЛФК — эффект -1.40 (по стандартизированной средней разнице). Это максимальный показатель среди всех вмешательств. — Тепловые компрессы — -1.38. — Опиоиды — -0.86. —

15 Jul 2026, 13:29 UTC≈413 views17 reactionsread 6 August 2026
Video

Побольше бы таких пациентов.

Showing the 12 most recent of 20 posts we hold for @thepainisreal. 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 — 205,466 of 1,481,217entries 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

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 1 registered channel — 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.

Names

Channels on the register whose handles appear in this channel's posts.

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

“Real Medicine” (@thepainisreal), 1,423 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/thepainisreal.

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.