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 10 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 why it has no browse page of its own yet.
Growth
33 measurements spanning 57 days, net -284. 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 27,782–28,166 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
1 Oct 2026, 23:17
27,826
-51
18 Sept 2026, 13:01
27,877
-9
16 Sept 2026, 03:57
27,886
-16
14 Sept 2026, 07:42
27,902
-11
12 Sept 2026, 13:18
27,913
-13
10 Sept 2026, 09:18
27,926
-38
7 Sept 2026, 04:22
27,964
-33
4 Sept 2026, 14:56
27,997
-8
2 Sept 2026, 22:34
28,005
-17
1 Sept 2026, 19:15
28,022
-9
31 Aug 2026, 19:39
28,031
-1
30 Aug 2026, 22:57
28,032
-5
29 Aug 2026, 21:52
28,037
-6
28 Aug 2026, 18:33
28,043
-2
27 Aug 2026, 18:14
28,045
-3
26 Aug 2026, 20:54
28,048
-2
25 Aug 2026, 19:52
28,050
-4
24 Aug 2026, 19:44
28,054
-25
23 Aug 2026, 02:52
28,079
+4
21 Aug 2026, 11:38
28,075
first reading
Engagement
66 posts held, back to 20 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 77 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.58%
avg views ÷ 27,826 subscribers
Avg views / post
2,390
26 posts measured
Reaction rate
2.72%
reactions ÷ views · ER floor
Posts in window
26
of 66 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 2 October 2026
Posts held
66 (20 July 2026 – 2 October 2026)
Views total
62,067
Reactions total
1,690
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 12:30 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
≈1,640
Videos
≈230
Links
≈868
Lifetime counters from Telegram’s own channel header, read 2 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
46m 55s
Average length
1m 48s
Measured directly from 26 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
4,953 reactions across 66 posts, in 6 distinct kinds. The most used accounts for 42.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
2,079
42.0%
❤
1,735
35.0%
🔥
850
17.2%
🤝
185
3.74%
😁
64
1.29%
🥰
40
0.808%
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 66 of the 66 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 4,953 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 66 most recent posts we hold, published 20 July 2026 to 2 October 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
38
across the posts below
Posts paid on
10
of 66 we hold a reading for · 15%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctorleskov. 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 66 most recent posts we hold for this entry, published 20 July 2026 to 2 October 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.
🍁 Сентябрь, как он есть: топ самых нужных публикаций
Если вы пропустили сентябрьские посты, здесь собраны самые полезные публикации месяца:
⚠️ Гипертония без симптомов: как не пропустить повышенное давление?
🔥 Новые рекомендации по сердечной недостаточности 2026
🤫 Подкаст про новые рекомендации по сердечной недостаточности
🔥 Статины после 65 лет делают человека слабее?
⚡️ Всю жизнь холестерин был нормальны…
С Днем пожилого человека ❤️
Как врач я всегда смотрю на возраст с двух сторон. Да, с медицинской точки зрения возраст - это фактор риска, который мы не можем изменить. При этом возраст точно не приговор и не повод отказываться от лечения, движения, новых впечатлений, путешествий, планов и вообще полноценной жизни.
Среди моих пациентов много людей старше 65 лет и очень часто я совершенно не вижу в них «старости», ко…
⚡️Давление скачет весь день: что делать?
Утром 160/90, днем 125/80, вечером 140/85. Какое давление из этих трех настоящее? Нужно ли менять лечение, если цифры отличаются на 30-40 мм рт. ст.? И почему иногда чем чаще человек измеряет давление, тем больше оно начинает его пугать?
В новом видео разберем:
1️⃣ Почему давление может заметно меняться даже в течение нескольких часов и по какой цифре оценивать, хорошо ли о…
⬆️ Давление и пульс повышаются от тревоги. Поможет ли бисопролол в такой ситуации?
В коротком ролике разбираю, почему учащенный пульс на фоне тревоги сам по себе не означает, что нужен бисопролол и когда бисопролол действительно необходим, какие причины высокого пульса важно исключить и почему важно лечить не цифры, а саму причину.
💬 Макс
💙 ВКонтакте
Хороший сон - это тоже забота о сердце ❤️
Мы часто обсуждаем давление, холестерин, питание и физическую активность. При этом есть еще один фактор риска, который часто недооценивают.
Американская ассоциация сердца относит сон к ключевым составляющим сердечно-сосудистого здоровья. Причем имеет значение не только количество часов: важны качество сна, его непрерывность, регулярность и то, насколько отдохнувшим человек …
🏋️ Кардио или силовые тренировки? Что полезнее для сердца?
В коротком ролике на примере исследования разбираю, почему для здоровья сердца важно сочетать аэробные и силовые нагрузки, сколько тренировок действительно рекомендуют и почему комбинация кардио с упражнениями на мышцы может дать дополнительные преимущества.
💬 Макс
💙 ВКонтакте
🧠 Меня как кардиолога пугает мысль, что однажды я не смогу вспомнить важную информацию для своей работы. Или, что еще страшнее, забуду имена своих близких
В коротком ролике на примере нового исследования более 34 тысяч человек разбираю, как гипертония и высокий холестерин могут быть связаны с риском развития деменции.
💬 Макс
💙 ВКонтакте
🏊🏻♂️ Как сделать полезную привычку привычкой?
Вчера был Эффект ординаторской - мой проект для врачей. Одной из наших героинь была 3-кратная олимпийская чемпионка и 13-кратная чемпионка мира по синхронному плаванию Александра Пацкевич.
И да, нам дали подержать настоящее олимпийское золото 😅 Из разговора с Александрой мне особенно запомнилась очень простая мысль: за невероятными результатами почти всегда стоит обычн…
Можно ли отменить статины, если холестерин уже в норме? Что говорят новые рекомендации
Пациент начинает принимать статины. Через несколько месяцев пересдает анализы: ЛПНП снизился, цель достигнута. Что делать дальше? Продолжать принимать ту же дозу препарата, уменьшить ее, или статин уже можно отменить?
В новом видео разберем:
1️⃣ Что произойдет, если после достижения цели по холестерину ЛПНП перестать принимать с…
Холестерин высокий, а на УЗИ сосудов шеи бляшек нет. Значит, можно успокоиться и статины не нужны?
В коротком ролике на примере нового исследования почти 5700 человек разбираю, почему отсутствие бляшек в сонных артериях еще не исключает атеросклероз в сосудах сердца, что показывает коронарный кальций и когда данные исследования могут помочь в принятии решения о лечении.
➡️ Если вы запутались в результатах анализов…
🤩5 фактов про семаглутид, тирзепатид и другие современные уколы для снижения веса
В коротком ролике разбираю 5 важных вещей, которые стоит знать до начала лечения: кому такие препараты показаны, почему дозу повышают постепенно, зачем параллельно работать с питанием, насколько часто они помогают снизить вес и какие побочные эффекты встречаются чаще всего.
💬 Макс
💙 ВКонтакте
Мне даже иногда не верится, что я сооавтор нашего с Леной Шестопаловой проекта "Эффект ординаторской"
Этот проект - тоже большая часть моей жизни и энергии 🔥
И мне очень хочется послушать таких интересных спикеров. А что вы думаете про мечты?
🔥33👍19❤11
Showing the 12 most recent of 66 posts we hold for @doctorleskov. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 2 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.
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 10 September 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.
Кардиолог Чайковская @cardiolog_chaykovskaya · 58,034 Telegram ranks this channel #33 of 94 here — alongside 93 others — read 23 August 2026
Доктор Вялов @doctorvyalov · 40,455 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 30 August 2026
Dr.Elena @ElenaKovchenko · 21,861 Telegram ranks this channel #37 of 94 here — alongside 93 others — read 22 September 2026
Blog Kardiologa 🩺 @blog_kardiologa · 137,072 Telegram ranks this channel #45 of 96 here — alongside 95 others — read 13 August 2026
Я себя НЕ знаю · Здоровье @Ya_Sebya_NE_Znayu · 23,507 Telegram ranks this channel #52 of 94 here — alongside 93 others — read 18 September 2026
Антон Алексеев @Ant0HAlex · 50,625 Telegram ranks this channel #52 of 76 here — alongside 75 others — read 25 August 2026
oliv'едка | дом·уют·рецепты 🤍 @olivedka · 28,207 Telegram ranks this channel #68 of 72 here — alongside 71 others — read 10 September 2026
This channel appears in 7 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 1 October 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Лесков” (@doctorleskov), 27,826 subscribers as measured 1 October 2026. Telegram Register, tgregister.com/channel/doctorleskov.
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.