Врач-терапевт, кардиолог, к.м.н.
Подробнее обо мне на сайте:
https://rudchenko.com/
По вопросам сотрудничества писать в личку или в сообщения каналу, или на электронную почту: [email protected]
Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 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 the other topics.
Growth
24 measurements spanning 87 days, net +158. 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 5,651–5,878 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
2 Nov 2026, 10:31
5,852
+19
30 Oct 2026, 12:28
5,833
+33
27 Oct 2026, 08:16
5,800
+5
24 Oct 2026, 01:50
5,795
+18
20 Oct 2026, 23:46
5,777
+27
17 Oct 2026, 16:28
5,750
+6
14 Oct 2026, 23:45
5,744
+5
11 Oct 2026, 23:16
5,739
+21
5 Oct 2026, 07:16
5,718
+9
26 Sept 2026, 15:22
5,709
+4
15 Sept 2026, 17:38
5,705
+4
11 Sept 2026, 17:37
5,701
-1
7 Sept 2026, 12:18
5,702
-10
2 Sept 2026, 09:53
5,712
+2
30 Aug 2026, 17:34
5,710
+2
27 Aug 2026, 10:02
5,708
+11
24 Aug 2026, 11:34
5,697
+5
20 Aug 2026, 18:14
5,692
+15
17 Aug 2026, 21:25
5,677
-8
15 Aug 2026, 01:55
5,685
first reading
Engagement
42 posts held, back to 3 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 8 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
37.5%
avg views ÷ 5,852 subscribers
Avg views / post
2,200
9 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
9
of 42 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 1 November 2026
Posts held
42 (3 July 2026 – 1 November 2026)
Views total
19,769
Reactions total
245
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 16:05 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
Photos
906
Videos
331
Links
676
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
21s
Average length
21s
Measured directly from 1 video 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
1,192 reactions across 41 posts, in 10 distinct kinds. The most used accounts for 48.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
574
48.2%
👍
470
39.4%
🔥
140
11.7%
👏
2
0.168%
🏆
1
0.084%
👌
1
0.084%
💯
1
0.084%
😁
1
0.084%
🙏
1
0.084%
🤔
1
0.084%
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 41 of the 42 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 1,192 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 3 July 2026 to 1 November 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 41 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctorrudchenko. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 42 most recent posts we hold for this entry, published 3 July 2026 to 1 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
🥤 Стакан сока на завтрак может бить по сосудам сильнее, чем кусок торта
Звучит странно? Тем не менее это одна из 8 частых ошибок в питании, о которых я рассказал в новом видео. Многие допускают их каждый день и считают, что питаются «правильно».
Что в выпуске:
🍞 почему белый хлеб и выпечка раскачивают сахар крови, как качели
🌭 какой продукт в холодильнике есть почти у каждого и сильнее всего связан с риском для се…
5 скрытых признаков проблем с сердцем и сосудами, которые почти все игнорируют
Усталость. Боль в челюсти. Одышка, когда наклоняешься завязать шнурки. Странное покалывание в ногах при ходьбе.
Знакомо? Большинство людей списывает это на возраст, усталость на работе или «само пройдёт». А зря - иногда это первые сигналы, которые организм подаёт задолго до инфаркта или серьёзных проблем с сосудами.
В новом видео разбир…
Почему бляшки растут в одних сосудах и НИКОГДА в других?
Загадка, которая ломает логику 👇
Курение, повышенный сахар крови, окисленные молекулы холестерина бьют по ВСЕМ сосудам одинаково. Но атеросклероз выбирает только избранных:
✅ аорта, сердечные и сонные артерии - забиваются бляшками
❌ мелкие артерии - чистые
❌ вены - чистые, хотя там и клапаны, и застой крови
Почему? 🤔
В новом видео разбираю 3 причины, по ко…
Почему холестерин ЗАСТРЕВАЕТ в стенке сосуда, а не просто «течёт мимо»?
Вам говорили, что холестерин оседает в сосудах как накипь в трубе? Так вот - это миф. 🚫
На самом деле всё устроено гораздо хитрее, и конечно, сложнее. Частицы холестерина АКТИВНО проникают сквозь стенку артерии - миллионы раз в день. И большинство спокойно возвращаются обратно в кровь. А вот часть - застревает. Именно с этого и начинается атеро…
💊 ТАБЛЕТКА, КОТОРАЯ СПАСЛА БОЛЬШЕ ЖИЗНЕЙ, ЧЕМ ЛЮБОЕ ДРУГОЕ ЛЕКАРСТВО ХХ ВЕКА
Мой первый научно-популярный медицинский фильм уже вышел! 🎬
История началась с простого вопроса: почему артерии забиваются холестерином и можно ли это остановить?
Японский учёный, который годами копался в плесени. Грибок, из которого добыли первую молекулу. Испуганные корпорации, засекреченные опыты на собаках, скандал с отозванным препар…
Новая глава блога «Доктор Рудченко»: большие научно-популярные фильмы о медицине!
Дорогие подписчики, зрители, пациенты!
Медицина часто кажется сложной, пугающей или запутанной из-за мифов и противоречивой информации в сети. Я убежден: о здоровье можно и нужно говорить глубоко, доказательно (с фактами) и по-настоящему кинематографично.
Поэтому я начинаю масштабный проект: на моих каналах с видео (YouTube, RuTube, …
🔥 «Врачи только и делают, что назначают статины и не хотят искать причину!»
Вижу это почти каждый день в комментариях под своими видео. И знаете что? Отчасти комментаторы правы. Но правда гораздо интереснее.
В новом видео разбираю:
❓ Почему на самом деле повышается холестерин и какие скрытые причины врачи обязаны искать (а иногда пропускают)
❓ Что такое «воспаление сосудов» и правда ли это альтернатива снижению хо…
💊 Таблетка «от давления», которая внезапно спасает от мигрени?
Представьте: препарат, который кардиологи назначают десятилетиями, вдруг оказывается способен сократить число дней с мигренью почти вдвое. Звучит как рекламный трюк - но за этим стоит серьёзное научное исследование.
В новом видео разбираем кандесартан:
🔹 чем он отличается от других «сартанов» и почему о нём мало говорят;
🔹 как обычная таблетка от давлен…
🏃♂️❤️ Пульс 182 на пробежке - я умираю или это норма?
Во время обычной пробежки мои часы показали 182 удара в минуту. Я выложил это в соцсети - и получил шквал тревожных вопросов: «Так же сердце остановится!», «Это опасно?», «Как вообще тренироваться с таким пульсом?»
Как врач и бегун-любитель, я решил ответить на эти вопросы и снял видео 👇
В нём разбираю:
✅ Почему пульс 180+ на бегу у здорового человека - это фи…
«Холестерин - это яд, снижать его нельзя, а статины убивают печень»
Такие ролики вы наверняка видели в соцсетях. Звучит смело. Но что об этом на самом деле говорит наука?
В новом видео разбираю 3 главных мифа о холестерине:
❓ Правда ли, что холестерин - не враг и его «оболгали»
❓ Из чего на самом деле образуются бляшки в сосудах
❓ «Статины - это яд»: что показывают реальные исследования (и какие побочки существуют…
«Про холестерин надо волноваться только когда бляшка перекроет артерию на 70%». Слышали такое? Так вот - это один из самых опасных мифов о сердце.
Разбираю в новом видео:
• откуда вообще взялась цифра «70%» и почему это ловушка
• почему инфаркт чаще дают НЕ огромные сужения, а мелкие «молодые» бляшки
• холестерин 8 или даже 11 - это «немного повышен» или уже красный флаг?
• когда высокий холестерин это генетика (и …
Showing the 12 most recent of 42 posts we hold for @doctorrudchenko. 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
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
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.
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.
Доктор Исаева @isaeva_in · 20,336 Telegram ranks this channel #15 of 69 here — alongside 68 others — read 28 September 2026
Dr.Elena @ElenaKovchenko · 21,764 Telegram ranks this channel #32 of 94 here — alongside 93 others — read 22 September 2026
ДОКТОР ХАН @doctorkhanstanislav · 57,319 Telegram ranks this channel #34 of 97 here — alongside 96 others — read 23 August 2026
Blog Kardiologa 🩺 @blog_kardiologa · 138,312 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 13 August 2026
ДОКТОРБЛОГЕР @doctorbloger_live · 38,578 Telegram ranks this channel #51 of 72 here — alongside 71 others — read 1 September 2026
Андрей Галкин - Врач-Остеопат | Нейрокоуч @rulikamed · 43,248 Telegram ranks this channel #61 of 83 here — alongside 82 others — read 28 August 2026
Кардиолог Чайковская @cardiolog_chaykovskaya · 57,969 Telegram ranks this channel #64 of 94 here — alongside 93 others — read 23 August 2026
Я себя НЕ знаю · Здоровье @Ya_Sebya_NE_Znayu · 23,545 Telegram ranks this channel #66 of 94 here — alongside 93 others — read 18 September 2026
Доктор Лесков @doctorleskov · 27,776 Telegram ranks this channel #70 of 92 here — alongside 91 others — read 10 September 2026
Доктор Вялов @doctorvyalov · 40,409 Telegram ranks this channel #78 of 88 here — alongside 87 others — read 30 August 2026
Доктор В.К. Зафираки @drzafiraki · 19,254 Telegram ranks this channel #79 of 94 here — alongside 93 others — read 3 October 2026
Гастроэнтеролог Лопатина М.В. @gastrogram · 36,898 Telegram ranks this channel #93 of 99 here — alongside 98 others — read 1 September 2026
This channel appears in 12 seed channels' Telegram-generated recommendation lists 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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Рудченко” (@doctorrudchenko), 5,852 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/doctorrudchenko.
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.