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Channel

Нутрициология MD | Доказательная нутрициология

@mdschool_onlinework

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry

1,674subscribers

-16 since we began measuring on 25 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001944800846
TypeChannel
Username@mdschool_onlinework
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded25 September 2026
Last confirmed live11 November 2026
Measurements held13
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/mdschool_onlinework

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 12 October 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

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 in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 6 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@MDschool_MDclub/160013 Mar 2026, 08:56 UTC@mdschool_onlinework/1254 · this entry13 Mar 2026, 08:59 UTC1.003 minutes
@MDschool_MDclub/160118 Mar 2026, 14:32 UTC@mdschool_onlinework/1255 · this entry18 Mar 2026, 14:33 UTC1.00under a minute
@MDschool_MDclub/161128 May 2026, 13:00 UTC@mdschool_onlinework/1257 · this entry28 May 2026, 13:01 UTC1.00under a minute
@MDschool_MDclub/163328 Jul 2026, 07:35 UTC@mdschool_onlinework/1267 · this entry28 Jul 2026, 07:36 UTC1.00under a minute
@mdschool_onlinework/1268 · this entry29 Jul 2026, 10:58 UTC@MDschool_MDclub/163429 Jul 2026, 11:29 UTC1.0032 minutes
@MDschool_MDclub/16387 Aug 2026, 09:44 UTC@mdschool_onlinework/1272 · this entry7 Aug 2026, 09:45 UTC1.0072 seconds
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@MDschool_MDclub6 (6/6 hand-verifiable sample passed)1.0072 seconds@MDschool_MDclub (5–1)

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. 1 of the 5 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 13 comparable posts for this entry, running 26 February 2026 to 8 September 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).

Of the group of 6 channels, the one whose matching posts we hold earliest is @MDSchool_ophthalmology. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 11 November 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.

Channels linked by matching posts

This channel is in a group of 6 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

1,6741,6921,68325 September 2026 — 1,690 subscribers25 September 2026 — 1,690 subscribers3 October 2026 — 1,687 subscribers10 October 2026 — 1,689 subscribers14 October 2026 — 1,692 subscribers17 October 2026 — 1,686 subscribers20 October 2026 — 1,684 subscribers24 October 2026 — 1,683 subscribers27 October 2026 — 1,678 subscribers29 October 2026 — 1,677 subscribers1 November 2026 — 1,675 subscribers7 November 2026 — 1,677 subscribers11 November 2026 — 1,674 subscribers25 September 202611 November 2026
13 measurements spanning 47 days, net -16. 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 1,671–1,695 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Nov 2026, 17:161,674-3
7 Nov 2026, 18:301,677+2
1 Nov 2026, 11:061,675-2
29 Oct 2026, 19:411,677-1
27 Oct 2026, 01:471,678-5
24 Oct 2026, 00:061,683-1
20 Oct 2026, 23:301,684-2
17 Oct 2026, 16:291,686-6
14 Oct 2026, 05:591,692+3
10 Oct 2026, 04:591,689+2
3 Oct 2026, 18:381,687-3
25 Sept 2026, 10:221,690no change
25 Sept 2026, 09:471,690first reading

Engagement

14 posts held, back to 26 February 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 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 14 posts for this entry, the most recent from 8 September 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
2m 38s
Average length
1m 19s

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

7 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 57.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤457.1%
👍342.9%

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 14 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 7 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 26 February 2026 to 8 September 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

8 Sept 2026, 07:29 UTC72 viewsread 25 September 2026
Photo

Бесплатный открытый урок: проверим ИИ на реальных врачебных задачах 🤟10 сентября в 19:00 МСК приглашаем на открытый вебинар «Нейросети в практике врача». После регистрации подарим 3 практических разбора: как превратить ИИ в ассистента врача 24/7. 🎁 Чек-лист безопасной работы с ИИ — что обезличить, как формулировать запрос и что обязательно перепроверить. 🎁 «ИИ vs клинические рекомендации» — покажем, где ответ ней…

7 Aug 2026, 09:45 UTC162 viewsread 25 September 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 • …

1 Aug 2026, 08:26 UTC155 viewsread 25 September 2026
Video

Плохая новость - ChatGPT действительно может заменить нутрициолога 😱 👉 Но только того, кто выдаёт шаблонный рацион и готовое меню. Сильный специалист работает глубже: понимает, почему клиент снова срывается, учитывает его образ жизни и помогает выстроить посильный план. Поэтому задача нутрициолога сегодня — не конкурировать с нейросетями, а использовать их как помощника - подробнее об этом в видео рассказал препода…

30 Jul 2026, 09:05 UTC78 views2 reactionsread 25 September 2026
Video

Живые практические эфиры с Павлом Петковым - одна из главных особенностей курса по нутрициологии MD. school 🔥 Уже на третьей неделе ученики подключаются к видеосозвонам и репетируют консультации в реальном времени! Небольшой кусочек такой практики можно посмотреть на видео ↗️ Павел наблюдает за процессом, а затем подробно разбирает консультацию: — какие вопросы помогли раскрыть ситуацию; — где специалист поторопи…

❤1👍1

29 Jul 2026, 10:58 UTC64 views2 reactionsread 25 September 2026
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"Фиксация" на потреблении белка как тренд - разбирает Денис Лебедев↩️ Денис Лебедев — автор научно-популярной книги "Понимая диабет" и более 10 полнотекстовых статей, в том числе, в рейтинговых зарубежных журналах. Он также защитил диссертацию по диабету в "НМИЦ им. В.А. Алмазова". Является одним из спикеров курса "Профессия нутрициолог: доказательный подход к питанию" *️⃣Фиксация на потреблении белка в последние г…

❤1👍1

28 Jul 2026, 07:36 UTC81 viewsread 25 September 2026
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2 топовых курса по эндокринологии — по цене 1 🔥 💡С 27 по 31 июля при покупке курса «Эндокринология репродуктивной системы» вы получаете в подарок курс «Продвинутая диабетология». Это не маленький бонус и не вводный мини-курс. Это второй большой продукт MD. school — бесплатно. На приёме чаще всего пересекаются именно эти две зоны: 〰️ репродуктивные нарушения 〰️ СПКЯ и гиперандрогения 〰️ нарушения цикла 〰️ гиперпро…

2 Jun 2026, 11:59 UTC219 viewsread 25 September 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,…

28 May 2026, 13:01 UTC202 views1 reactionsread 25 September 2026
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– 25% на первый курс MD.school для новых учеников 👀 Если давно думали об обучении — сейчас хороший момент В MD.school: — доказательная медицина — практические алгоритмы для реальных клинических ситуаций — обучение, которое применяется на приёме, а не остаётся в конспектах Направления: — Неврология: амбулаторная, детская, экстренная, нейровизуализация — Гинекология: амбулаторная, ведение беременности, детская и под…

❤1

18 Mar 2026, 14:33 UTC356 viewsread 25 September 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, 08:59 UTC328 viewsread 25 September 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…

7 Mar 2026, 09:38 UTC325 views1 reactionsread 25 September 2026
File

🎁 Гайд: "ТОП-7 нейросетей для работы нутрициолога" Составление рационов на неделю, написание постов и расчет КБЖУ теперь можно делегировать искусственному интеллекту. Собрали для вас гайд с активными ссылками, где разобрали 7 главных инструментов, которые облегчат вам жизнь и работу! 🔸 Сохраняйте себе и отправляйте коллегам Источник: https://vc.ru/ai/2063898-neyroseti-dlya-nutriciologov-i-fitnes-specialistov

❤1

Showing the 12 most recent of 14 posts we hold for @mdschool_onlinework. 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.

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.

MD.school | Медицинский онлайн-университет | Доказательная медицина
@medicina_discendi · 21,232
Telegram ranks this channel #5 of 98 here — alongside 97 others — read 25 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Нутрициология MD | Доказательная нутрициология” (@mdschool_onlinework), 1,674 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/mdschool_onlinework.

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.