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Channel
Doctor George
@DrMalyakin
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
583subscribers
+1 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1001923525278 |
|---|---|
| Type | Channel |
| Username | @DrMalyakin |
| Created | 9 August 2023 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/DrMalyakin |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 01:28 | 583 | +1 |
| 8 Aug 2026, 03:20 | 582 | no change |
| 7 Aug 2026, 11:14 | 582 | first reading |
Engagement
18 posts held, back to 18 August 2025 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 23 June 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 1m 57s
- Average length
- 59s
Measured directly from 2 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
237 reactions across 16 posts, in 16 distinct kinds. The most used accounts for 38.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 91 | 38.4% | |
| 🔥 | 60 | 25.3% | |
| 👍 | 40 | 16.9% | |
| 💩 | 7 | 2.95% | |
| ❤🔥 | 6 | 2.53% | |
| 👏 | 6 | 2.53% | |
| 🙏 | 6 | 2.53% | |
| 👌 | 4 | 1.69% | |
| 😍 | 4 | 1.69% | |
| 🤣 | 4 | 1.69% | |
| 🍌 | 3 | 1.27% | |
| 🌭 | 2 | 0.844% | |
| 💋 | 1 | 0.422% | |
| 💯 | 1 | 0.422% | |
| 🤝 | 1 | 0.422% | |
| 🤯 | 1 | 0.422% |
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 16 of the 18 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 237reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 18 August 2025 to 23 June 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
Мы - поколение, которое молится святой капельнице. Какие-то мутные люди из разных мест решили анонимно спросить у топовых легкоатлетов-бегунов, как часто они ложатся под капельницу и втирают по вене всякие ништяки, которые пока ещё не забанила злая WADA. Итог исследования предсказуем, но от этого не менее доставляет. Что внутри? Исследователи опросили 138 элитных спортсменов (73 куна и 65 тян), употребляют ли те. …
❤🔥4🍌1🤯1
Оказание догоспитальной первой помощи, используемый в Английской Премьер Лиге ⚽️🚨 ♥️ и 🔁
❤5
Posted without readable text
К теме бочек. Немного закулисья и важных исследований 👩🔬) Георгий Малякин, наш ответственный за бочки лучший врач-физиотерапевт, рассказал, как они готовятся, сколько льда требуется, какая необходимая температура и сколько времени нужно в них провести. ⚡️В конце – я осуществила мечту и опробовала бочку на себе! @agallay ❤️
❤8🔥6🍌1💩1🤝1
В России действительно очень мало футбольных врачей, которые способны не просто закрыть роль полевого врача, а выстроить в «больших» клубах адекватную современным реалиям систему контроля переносимости нагрузки, профилактики травматизма и повышения компетенций клубных медицинских работников (без этого сейчас, по сути, вообще никак). Я бы вообще назвал 2–3 человека, которые потенциально это могут сделать… И все они …
🙏6❤🔥2💩2🔥2
Спасибо глубокоуважаемым коллегам за организацию этой замечательной конференции!!! Где же соберутся врачи РПЛ в следующем году?..
❤9🔥4👍3💋1💩1
🌪️ Просмотр рилсов значимо негативно влияет на мозги часто их просматривающих мальчиков и девочек, юношей и девушек , леди и джентльменов 😵💫 📊 В самом что ни на есть свежем метаанализе Nguyen и соавторы (2025) изучили влияние просмотров рилсов(коротких видео) на ментальное здоровье их просматривающих. В результате анализа 71 исследования с участием 98 299 человек авторы продемонстрировали, что более частый просмот…
❤8💩1
На университетской конференции уже в роли научного руководителя... Стою со своими победителями
❤18🔥9👌2👍1💩1
Девятого декабря состоится конференция "Врачи РПЛ"-2025, организованная медико-экспертным советом при президенте РПЛ. Большая честь принимать участие в организации такого особенного мероприятия. Программу конференции можно посмотреть по ссылке: https://premierliga.ru/medicine/news/35/
❤5🤣4👍3🔥2💩1
Следующая остановка Катар! 🇶🇦 Всю следующую неделю я проведу на одной из крупнейших международных конференций по спортивной медицине и реабилитации, Aspetar World Conference 🌟 И не просто проведу! Я буду выступать с постерным докладом, который мы подготовили вместе с Георгием Малякиным, врачом ПФК ЦСКА. Помимо самой конференции я посещу два семинара посвященных восстановлению после травм плечевого сустава, а также…
🔥13❤5👍5
Друзья, коллеги и дорогие подписчики!👨⚕️ Вместе с Лабораторией высших достижений объявляем о старте курса «Идентификация талантливости в спорте»! В курсе собраны лучшие практики и самые актуальные научные данные, которые помогут тренерам, скаутам, сотрудникам медицинских департаментов, менеджерам и специалистам по адаптации иметь чёткий инструмент поиска и развития будущих звёзд спорта. Что внутри: 🔹 современные …
👍3🔥2
Showing the 12 most recent of 18 posts we hold for @DrMalyakin. 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.
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
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@DrMalyakin named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 1 post, 9 August 2026 – 9 August 2026
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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“Doctor George” (@DrMalyakin), 583 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/DrMalyakin.
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.