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Channel

ШУЕ, DocMed и Real World 💯

@shuedoc

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

127subscribers

-2 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-1002162134158
TypeChannel
Username@shuedoc
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live31 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 31 August 2026
On Telegramt.me/shuedoc

Growth

1271291287 August 2026 — 129 subscribers9 August 2026 — 129 subscribers23 August 2026 — 127 subscribers7 August 202623 August 2026
3 measurements spanning 16 days, net -2. 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 127–129 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 07:54127-2
9 Aug 2026, 01:31129no change
7 Aug 2026, 17:08129first reading

Engagement

19 posts held, back to 4 April 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 19 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 22s
Average length
1m 22s

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

56 reactions across 15 posts, in 10 distinct kinds. The most used accounts for 33.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1933.9%
😭916.1%
👍610.7%
🔥610.7%
💘47.14%
🤔47.14%
🤣47.14%
😁23.57%
🎉11.79%
👏11.79%

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 16 of the 19 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 56 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 4 April 2026 to 2 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

2 Aug 2026, 12:05 UTC55 views4 reactionsread 9 August 2026
Photo

Завтра понедельник...

4

3 Jul 2026, 05:05 UTC145 views0 reactionsread 9 August 2026

Посоны и посонессы! Намечается историческая херня! Жакуна который дoвыеbывaл$я таки вызвали на дебаты. Максимальный репост!

13 Jun 2026, 05:37 UTC193 views9 reactionsread 9 August 2026
Photo

Не так давно был свидетелем очередного исхода лечения суперблатного пациента с т.н. "отягощенным социальным анамнезом", когда фактически пациента более 10 лет лечила на самом деле не лечила "административная вертикаль" и "вывела в дефект", "подвела к дому-интернату". Хотя по личному мнению, если ли бы его вели, как "обычного больного пациента" (даже с учетом "многих недостатков на местах"), вполне спокойно мог бы даж

🤔4😭4🔥1

28 May 2026, 21:04 UTC174 views4 reactionsread 9 August 2026
Photo

Пятничные мемы... Хотел приберечь для осени, но не сдержался 😁

🤣4

22 May 2026, 21:19 UTC173 views3 reactionsread 9 August 2026
Photo

Коллега поднял серьезную тему, что психиатрия, как социальный институт, несмотря на гуманизацию, продолжает ориентироваться преимущественно на соблюдение порядка, адаптацию к обществу и принуждение... индивид изменился, а психиатрия как таковая нет... И в настоящее время мы наблюдаем одну категорию специалистов: врачи из Москвы и Питера... врачи частной практики... за 8-10 тыс рублей... Вторую: фундамент психиат

3

10 May 2026, 22:00 UTC162 views2 reactionsread 9 August 2026
Video

По мотивам выгорания после многочисленных просьб при эмоциональных колебаниях на фоне РЛ 🙂: "срочно подобрать фармаколечение и сделать коррекцию схемы, потому что я не верю в психотерапию, да и денег особо нет"

🔥2

10 May 2026, 19:09 UTC171 views6 reactionsread 9 August 2026

The syndrome of inappropriate antidiuretic hormone secretion (SIADH) Синдром неадекватной секреции антидиуретического гормона (СНСАДГ) SIADH — это расстройство, при котором чрезмерно высвобождается антидиуретический гормон (далее АДГ), что приводит к задержке воды, гипонатриемии и концентрированной моче. Причины: заболевания ЦНС (ЧМТ, инсульты, инфекции, опухоли), заболевания легких (пневмония, туберкулез или искус

5👏1

10 May 2026, 19:06 UTC123 views2 reactionsread 9 August 2026
Photo

Напишу-ка я 🤔 про синдром неадекватной секреции антидиуретического гормона (т.н. СНСАДГ или SIADH)... который нередко бывает на фоне приема наших любимых СИОЗСов 😉 Картинка с инфографикой с сайта nursewellversed.com

👍2

3 May 2026, 11:42 UTC169 viewsread 9 August 2026

Посмотрел свою формальную статистику по частному приему (по МКБ-10). Вот что получилось: ~50% пациентов тревожный и связанный со стрессом спектр, включая группу ОКР (4x); ~15% это депрессивный спектр (F3x, включая биполярные депрессии); ~15% РЛ (F6x); ~10% это шизоспектр (F2x); ~10% суммарно - всё остальное (АрГанеКа, РАСы у взрослых и прочие редкие феномены). Так, что не такой уж я и "шизофренолог" 😏 Что скажете?

2 May 2026, 15:51 UTC163 viewsread 9 August 2026

В фокусе диффдиагностика СБН и акатизии. Очень люблю вопросы диффдиагностики, не вижу смысла что-то добавлять к посту - кратко, важно, полезно.

Showing the 12 most recent of 19 posts we hold for @shuedoc. 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

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

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.

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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“ШУЕ, DocMed и Real World 💯” (@shuedoc), 127 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/shuedoc.

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.