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Channel

Независимая Национальная Академия Доказательной Медицины (НКО ННАДМ)

@nkonnadm

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

6,953subscribers

+59 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001930098625
TypeChannel
Username@nkonnadm
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/nkonnadm

Topic

Education — 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 57% 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

6,8896,9646,926.56 August 2026 — 6,894 subscribers6 August 2026 — 6,894 subscribers9 August 2026 — 6,892 subscribers13 August 2026 — 6,889 subscribers16 August 2026 — 6,929 subscribers19 August 2026 — 6,948 subscribers22 August 2026 — 6,944 subscribers25 August 2026 — 6,946 subscribers28 August 2026 — 6,948 subscribers31 August 2026 — 6,956 subscribers3 September 2026 — 6,964 subscribers8 September 2026 — 6,961 subscribers12 September 2026 — 6,962 subscribers15 September 2026 — 6,953 subscribers6,9536 August 202615 September 2026
14 measurements spanning 41 days, net +59. 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 6,878–6,975 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 18:186,953-9
12 Sept 2026, 11:596,962+1
8 Sept 2026, 18:386,961-3
3 Sept 2026, 10:116,964+8
31 Aug 2026, 12:026,956+8
28 Aug 2026, 14:036,948+2
25 Aug 2026, 23:386,946+2
22 Aug 2026, 23:296,944-4
19 Aug 2026, 17:276,948+19
16 Aug 2026, 20:446,929+40
13 Aug 2026, 06:166,889-3
9 Aug 2026, 23:356,892-2
6 Aug 2026, 03:176,894no change
6 Aug 2026, 02:226,894first reading

Engagement

24 posts held, back to 27 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 12 pages 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 24 posts for this entry, the most recent from 14 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 03s
Average length
1m 03s

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

536 reactions across 24 posts, in 17 distinct kinds. The most used accounts for 27.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 542481902372653374714627.2%
🔥13625.4%
👍12924.1%
7013.1%
❤‍🔥132.43%
🥰71.31%
custom 542498388175122567761.12%
61.12%
👏61.12%
🤗50.933%
30.56%
🆒30.56%
🙏20.373%
👌10.187%
👨‍💻10.187%
🤝10.187%
🤮10.187%

Custom emoji. 2 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.

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 24 of the 24 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 536 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 27 May 2026 to 14 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 24 we hold a reading for · 13%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nkonnadm. 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 24 most recent posts we hold for this entry, published 27 May 2026 to 14 August 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

14 Aug 2026, 16:42 UTC≈20,100 views48 reactionsread 20 August 2026
File

😍 Уважаемые коллеги, добрый день. Спешим отчитаться по большой проделанной работе коллектива авторов: Бурлов Н.Н., Лобастов К.В., Макарова Д.Д., Марапов Д.И., Навасардян А.Р. Доказательная медицина: навигатор по материалам тематических каналов. ◈ Это не просто подборка ссылок, а структурированный путеводитель по темам критического анализа научных публикаций и биостатистики. Каждая тема снабжена несколькими источни

🔥2013custom 542481902372653374712🥰3

14 Aug 2026, 16:42 UTC451 views11 reactionsread 20 August 2026
Photo

Photo, posted without a caption

custom 54248190237265337476👍5

14 Aug 2026, 13:55 UTC478 views31 reactionsread 20 August 2026
Photo

😍 Уважаемые коллеги, добрый день. В связи с тем, что мы готовим большой труд, постов стало изрядно меньше, а те, что стояли в очереди, стали публиковаться в час ночи. Просим извинения. Тем не менее, команда экспертов готовит большой мануал по доказательной медицине. Основная цель - систематизировать имеющиеся фундаментальные знания из нескольких ТГ-каналов. А пока мы формируем 32-ю версию документа, хотим поделить

👍10custom 54248190237265337479🤗53❤‍🔥2🔥2

10 Aug 2026, 09:42 UTC608 views25 reactionsread 20 August 2026
Forwarded from @SciArticleChannelVideo

🔬 Большое обновление scid.ai: весь ход исследования в одном приложении ИИ ускоряет исследовательские итерации. Вместе с этим растет ценность пути от вопроса к доказательной базе и научным результатам. scid.ai сохраняет этот путь внутри одного проекта. Что нового? 🖥 Рабочие зоны и вкладки Источники, граф, чат и документ можно открывать в разных вкладках и располагать рядом. Например, слева оставить граф темы, справ

👍118custom 54248190237265337476

4 Aug 2026, 21:38 UTC856 views27 reactionsread 20 August 2026

😍 Уважаемые коллеги, добрый день. Хотим анонсировать серию постов, посвященным теме построения пути пациентов (Patient journey mapping). ◈ Цель, которую мы преследуем этой серией — продемонстрировать, зачем это необходимо и что может дать построение пути пациента врачебному сообществу, системе здравоохранения, частным ЛПУ и фармацевтическим компаниям. А самое главное — что это может дать конкретному пациенту. ◈ Ещ

13custom 54248190237265337478👍5🤮1

31 Jul 2026, 07:01 UTC896 views18 reactionsread 20 August 2026

Что такое гибридный лекарственный препарат и почему он выделен в отдельную категорию В российском и евразийском регулировании существует особый тип лекарств — гибридные препараты. Они появляются тогда, когда разработчик вносит изменения, которые уже не позволяют подтверждать эквивалентность стандартным фармакокинетическим исследованием. Такие изменения могут касаться соли или производного действующего вещества, доз

👍7custom 54248190237265337475🔥4🙏2

23 Jul 2026, 11:21 UTC864 views32 reactions1 Starread 20 August 2026
Forwarded from @medstatistic_ruPhoto

Выбираем статистический метод исходя из проверяемой гипотезы Данный подход состоит в том, что вначале исходя из решаемой задачи нужно определить проверяемую нулевую гипотезу. Нулевая гипотеза - это предположение об отсутствии эффекта (различий, связи, изменений и т.д.). В большинстве случаев мы желаем опровергнуть нулевую гипотезу с помощью p-значения. Если p окажется ниже уровня значимости (например, p<0.05), дела

🔥12👍86custom 54248190237265337476

21 Jul 2026, 17:20 UTC778 views18 reactionsread 20 August 2026
Photo

😍 Уважаемые коллеги, добрый день. Вашему вниманию выступление Марапова Дамира Ильдаровича (Казань) — к.м.н., доцента кафедры общественного здоровья, экономики и управления здравоохранением Казанской государственной медицинской академии - филиала ФГБОУ ДПО «Российская медицинская академия непрерывного профессионального образования» Минздрава России, г. Казань. на тему: «Регрессионные модели. Начало. Визуализация мод

🔥9👍6custom 54248190237265337473

19 Jul 2026, 14:48 UTC807 views23 reactionsread 20 August 2026

🧠Уважаемые коллеги, добрый день! Лаборатория поведения ННАДМ продолжает серию публикаций о врачебной инертности. В прошлый раз мы говорили о том, как редко профилактическое консультирование происходит в реальной практике. Сегодня рассмотрим поведенческие механизмы, стоящие за этим. 👉Врач не уверен, что сможет помочь Неуверенность в собственной эффективности максимальна в вопросах алкоголя и контроля веса; в отношен

10🔥7custom 54248190237265337476

17 Jul 2026, 09:00 UTC797 views32 reactionsread 20 August 2026
Photo

😍 Уважаемые коллеги, добрый день. ◈ Меня зовут Юрков Рэм, я один из разработчиков реестра clinicalstudy.ru, и 8 июля Роспатент зарегистрировал наш программный модуль контроля целостности медицинского реестра «NNADM Anchor» (свидетельство № 2026668848), соавтором которого я стал вместе с Иваном Дмитриевым и Артуром Навасардяном. ◈ Рассказываю, что это значит для вас, врачей-исследователей. ◈ Мы уже неоднократно за

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15 Jul 2026, 08:41 UTC746 views24 reactionsread 20 August 2026

🧠Уважаемые коллеги, добрый день! Лаборатория поведения ННАДМ продолжает серию публикаций о врачебной инертности. Ранее мы говорили о фармакологической инертности (отсутствии интенсификации терапии). Сегодня предлагаем вашему вниманию данные о её менее изученной форме: консультативной инертности - отсутствии или недостаточной степени консультирования по факторам риска ХНИЗ в рамках приёма. Как часто врачи консульти

👍11custom 54248190237265337477🔥42

13 Jul 2026, 09:02 UTC772 views24 reactionsread 20 August 2026

🧠 Уважаемые коллеги, добрый день! Лаборатория поведения ННАДМ продолжает серию публикаций о врачебной или терапевтической инертности. Сегодня предлагаем вашему вниманию данные о распространённости этого феномена и цене, которую платят пациенты в связи с промедлением. 👉В 12 странах Европы 61% пациентов с АГ, получающих лечение, не достигают целевого АД (исследование EURIKA, 2011; n=7 641). 👉При сердечной недостато

👍10custom 54248190237265337476🔥5🆒3

Showing the 12 most recent of 24 posts we hold for @nkonnadm. 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

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

Named by 12 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.

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.

Медач | Medical Channel
@medach · 28,118
Telegram ranks this channel #28 of 97 here — alongside 96 others — read 10 September 2026
FOR DOCTORS 🥼
@for_doctors · 32,373
Telegram ranks this channel #42 of 84 here — alongside 83 others — read 5 September 2026
Патология 💉🩸
@PATologiamedic · 29,488
Telegram ranks this channel #49 of 84 here — alongside 83 others — read 8 September 2026
Медицинские лекции книги курсы
@medicinskie_lekcii · 33,659
Telegram ranks this channel #49 of 81 here — alongside 80 others — read 4 September 2026
АНЧА БАРАНОВА
@anchabaranova · 35,710
Telegram ranks this channel #61 of 98 here — alongside 97 others — read 2 September 2026
Медицинские Книги | Книги
@medprobook · 21,751
Telegram ranks this channel #62 of 83 here — alongside 82 others — read 22 September 2026
Поясни за мед
@poyasni_za_med · 22,289
Telegram ranks this channel #66 of 97 here — alongside 96 others — read 21 September 2026
Школа мышления. Вояж в страну загадок.
@shkolamishleniA · 22,743
Telegram ranks this channel #83 of 97 here — alongside 96 others — read 20 September 2026

This channel appears in 8 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Независимая Национальная Академия Доказательной Медицины (НКО ННАДМ)” (@nkonnadm), 6,953 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/nkonnadm.

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.