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Channel

Кардиология| Докмед для врачей| MD.school

@mdschool_kardio

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

887subscribers

-8 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-1002476499042
TypeChannel
Username@mdschool_kardio
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live17 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/mdschool_kardio

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@doc_kharchenko/236617 Feb 2026, 13:12 UTC@mdschool_kardio/256 · this entry17 Feb 2026, 13:12 UTC1.00under a minute
@doc_kharchenko/237127 Feb 2026, 09:39 UTC@mdschool_kardio/261 · this entry27 Feb 2026, 09:40 UTC1.00under a minute
@mdschool_kardio/269 · this entry18 Mar 2026, 14:32 UTC@doc_kharchenko/237818 Mar 2026, 14:32 UTC1.00under a minute
@doc_kharchenko/238828 May 2026, 13:00 UTC@mdschool_kardio/272 · this entry28 May 2026, 13:03 UTC1.003 minutes
@doc_kharchenko/23891 Jun 2026, 15:12 UTC@mdschool_kardio/273 · this entry2 Jun 2026, 12:00 UTC1.0021 hours
@mdschool_kardio/277 · this entry24 Jul 2026, 16:02 UTC@doc_kharchenko/240324 Jul 2026, 16:05 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@doc_kharchenko11 (8/8 hand-verifiable sample passed)1.00under a minute@doc_kharchenko (92)
@MDSchool_ophthalmology6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (42)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 11 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 11 comparable posts for this entry, running 17 February 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @doc_kharchenko. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 8 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

8878958917 August 2026 — 895 subscribers8 August 2026 — 895 subscribers15 August 2026 — 893 subscribers23 August 2026 — 894 subscribers31 August 2026 — 891 subscribers9 September 2026 — 890 subscribers17 September 2026 — 887 subscribers7 August 202617 September 2026
7 measurements spanning 41 days, net -8. 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 886–896 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 21:15887-3
9 Sept 2026, 06:58890-1
31 Aug 2026, 06:26891-3
23 Aug 2026, 17:04894+1
15 Aug 2026, 06:38893-2
8 Aug 2026, 01:04895no change
7 Aug 2026, 14:00895first reading

Engagement

11 posts held, back to 17 February 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 page of 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 11 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
4m 13s
Average length
2m 07s

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

11 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 63.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
763.6%
💯218.2%
🔥218.2%

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 5 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 11 reactions 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 17 February 2026 to 7 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

7 Aug 2026, 09:44 UTC23 viewsread 8 August 2026
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Не покупайте курсы за полную стоимость 👀 если вы студент или ординатор Пока у вас есть этот статус, MD.school оплачивает 50% обучения. MD.school — онлайн-университет доказательной медицины для врачей. По гранту вы можете выбрать любой курс и оплатить только половину его стоимости. Что можно выбрать: • Клинические направления Гинекология, неврология, эндокринология, педиатрия, офтальмология, онкология, хирургия •

30 Jul 2026, 08:06 UTC46 viewsread 8 August 2026
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Как разобрать новые клинреки за минуты и быстро собрать по ним лекцию? Разбираем реальный кейс 🩺 Чтение новых клинических рекомендаций — это всегда часы кропотливой работы. А если руководство просит еще и срочно подготовить по ним выжимку или обучение для коллег? В чате нашего курса ученица Айгуль поделилась видео-отзывом о том, как нейросети превращают эту рутину в быстрый, точный и управляемый процесс. Мы разобра

27 Jul 2026, 11:24 UTC54 viewsread 8 August 2026
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Не надо работать на износ, чтобы делать больше. Достаточно одного помощника. Один день врача — это десятки задач, кроме приёма пациентов. Помимо консультаций и заполнения меддокументации, врач каждый день сталкивается с задачами, которые съедают часы: ● Оформить справку в комиссию или для МСЭ ● Ответить пациенту на жалобу или составить объяснительную ● Сделать слайды и доклад для конференции ● Собрать материал

24 Jul 2026, 16:02 UTC68 viewsread 8 August 2026
Video

Как врач готовит презентацию для международной конференции с помощью нейросетей меньше, чем за час. Кейс ученицы курса «Нейросети в работе врача» — Юлии Топаловой, гастроэнтеролога и гепатолога из Санкт-Петербурга. За 4 недели обучения Юлия полностью перестроила подход к созданию медицинских презентаций. Раньше — долгий поиск статей, ручная структура, оформление. Сейчас — работа заняла менее часа благодаря ChatGPT

2 Jun 2026, 12:00 UTC139 views1 reactionsread 8 August 2026
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Если у вас есть дети — кажется, вам будет особенно интересно 💚 Сейчас открыты 7 дней бесплатного доступа к Ай Болит Kids — можете протестировать и как врач, и как родитель. Ай Болит Kids — AI-педиатра для родителей детей 0–7 лет. Мы сделали его, потому что знаем: даже врачи, когда болеет собственный ребёнок, остаются прежде всего родителями. И так же сталкиваются с вопросами про температуру, сон, питание, анализы,

1

28 May 2026, 13:03 UTC133 views1 reactionsread 8 August 2026
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✍️ Не все врачебные курсы одинаково полезны.. Поэтому многие приходят в MD.school после: — хаотичных вебинаров — устаревших подходов — лекций без практики, готовых алгоритмов — обучения, которое не помогает на реальном приёме. Сейчас для новых учеников: –25% на первый курс MD.school 🤍 В MD.school: — доказательная медицина — практические алгоритмы для реальных клинических ситуаций — обучение, которое применяется на

1

18 Mar 2026, 14:32 UTC226 viewsread 8 August 2026

Коротко о главном в научной повестке Канал для тех, кто хочет успевать следить за тем, что реально происходит в академической среде, но не готов читать бесконечные ленты новостей. Здесь выборочно, но метко: — Разборы диссертаций, которые уже успели получить ученую степень (и вопросов к ним больше, чем ответов); — Навигация по «Белым спискам» и требованиям ВАК — без паники, но с пониманием подводных камней; — Истори

13 Mar 2026, 08:57 UTC226 views2 reactionsread 8 August 2026
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🎁 Дарим гайд с алгоритмами работы для быстрого поиска и проверки информации Скачивайте бесплатно еще много полезной информации для врачей в канале: ✔️ По работе с научными публикациями: - как написать научную статью и успешно ее опубликовать - как правильно ответить рецензенту - поиск темы и обзор литературы с помощью нейросетей ✔️ Использование нейросетей во врачебной практике + готовые запросы: - нейросети для и

2

27 Feb 2026, 09:40 UTC239 viewsread 8 August 2026
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8 источников, где врач может проверить реальную доказательную эффективность препарата Где вы проверяете доказательную базу препарата, который планируете назначить? Госреестр? PubMed? Cochrane? А если данные противоречивые или исследования «на грани»? В канале MD.school по рентгенологии опубликовали подборку из 8 источников, где врач может проверить реальную доказательную эффективность препарата: ✅ почему регистраци

19 Feb 2026, 08:18 UTC225 views1 reactionsread 8 August 2026
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🔥 Отдаем 70+ учебных пособий для врача! Все необходимые гайды, чек-листы и пошаговые алгоритмы ждут учеников курса «Профессия нутрициолог: доказательный подход к питанию»! То, что можно применять с первого дня обучения и то, что достается ученикам БЕСПЛАТНО 🔥 Мы собрали для вас уникальную библиотеку учебных материалов, которая станет вашей настольной книгой и незаменимым помощником в работе: ✔️Подробные гайды и л

1

17 Feb 2026, 13:12 UTC189 views6 reactionsread 8 August 2026
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Диссертация•Академическое письмо • Медицинская статистика До - 40% на готовые пакеты из 2-3 курсов до 22 февраля. ❌Не понимаете, что и как писать в каждом разделе статьи Переписываете введение/методы по десять раз, потому что непонятно что именно должно быть изложено ❌Не знаете, как грамотно излагать мысли в научном стиле Текст получается либо слишком громоздким и водянистым, либо канцелярским. ❌Не понимаете мед

2💯2🔥2

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

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Кардиология| Докмед для врачей| MD.school” (@mdschool_kardio), 887 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/mdschool_kardio.

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.