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Channel

Саратовский | МЕД

@razumovsky_ru

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cross-platform identity · Cite this entry

7,799subscribers

-186 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-1001130222162
TypeChannel
Username@razumovsky_ru
DescriptionОфициальный телеграм-канал СГМУ им. В.И. Разумовского 🌐 Наш сайт: sgmu.ru 👨‍💻Мы в соц.сетях: ВК: https://vk.com/razumovsky_ru Яндекс.Дзен: https://dzen.ru/razumovskiy_ru ОК: https://ok.ru/razumovskyru RUtube: https://rutube.ru/channel/25815186/
Created22 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/razumovsky_ru

Topic

Local community — 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 78% 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.

Growth

7,7997,9887,893.56 August 2026 — 7,985 subscribers7 August 2026 — 7,988 subscribers10 August 2026 — 7,986 subscribers13 August 2026 — 7,974 subscribers16 August 2026 — 7,966 subscribers19 August 2026 — 7,956 subscribers22 August 2026 — 7,950 subscribers25 August 2026 — 7,948 subscribers28 August 2026 — 7,950 subscribers31 August 2026 — 7,951 subscribers3 September 2026 — 7,954 subscribers8 September 2026 — 7,942 subscribers12 September 2026 — 7,926 subscribers16 September 2026 — 7,906 subscribers25 September 2026 — 7,886 subscribers4 October 2026 — 7,867 subscribers11 October 2026 — 7,856 subscribers14 October 2026 — 7,843 subscribers17 October 2026 — 7,838 subscribers20 October 2026 — 7,832 subscribers23 October 2026 — 7,821 subscribers26 October 2026 — 7,819 subscribers29 October 2026 — 7,811 subscribers1 November 2026 — 7,802 subscribers4 November 2026 — 7,799 subscribers6 August 20264 November 2026
25 measurements spanning 90 days, net -186. 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 7,771–8,016 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
4 Nov 2026, 13:217,799-3
1 Nov 2026, 22:067,802-9
29 Oct 2026, 14:557,811-8
26 Oct 2026, 19:507,819-2
23 Oct 2026, 20:217,821-11
20 Oct 2026, 13:197,832-6
17 Oct 2026, 07:277,838-5
14 Oct 2026, 11:587,843-13
11 Oct 2026, 03:007,856-11
4 Oct 2026, 21:597,867-19
25 Sept 2026, 09:007,886-20
16 Sept 2026, 12:587,906-20
12 Sept 2026, 07:567,926-16
8 Sept 2026, 08:217,942-12
3 Sept 2026, 02:227,954+3
31 Aug 2026, 04:127,951+1
28 Aug 2026, 08:587,950+2
25 Aug 2026, 15:527,948-2
22 Aug 2026, 18:547,950-6
19 Aug 2026, 13:057,956first reading

Engagement

113 posts held, back to 3 August 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 26 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
7.75%
avg views ÷ 7,799 subscribers
Avg views / post
604
20 posts measured
Reaction rate
1.08%
reactions ÷ views · ER floor
Posts in window
20
of 113 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. It is computed over the 15 of 20 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 November 2026
Posts held113 (3 August 2026 – 6 November 2026)
Views total12,081
Reactions total106
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 12:01 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
≈5,650
Videos
≈371
Links
≈6,030

Lifetime counters from Telegram’s own channel header, read 6 November 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
5m 44s
Average length
2m 52s

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

371 reactions across 72 posts, in 14 distinct kinds. The most used accounts for 74.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤27774.7%
🔥4211.3%
👍164.31%
💘82.16%
👏71.89%
🎉61.62%
😍30.809%
😢30.809%
🤩30.809%
💯20.539%
🌚10.27%
🎄10.27%
👀10.27%
🥰10.27%

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 76 of the 113 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 371 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 113 most recent posts we hold, published 3 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 2 of 20 posts held from the last 30 days (10.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 07:04 UTC286 views5 reactionsread 6 November 2026
Photo

🚪Первый День открытых дверей в СГМУ: 15 районов, 4 региона и более 230 участников Читать подробнее...

❤5

5 Nov 2026, 12:00 UTC577 views20 reactionsread 6 November 2026

👋Привет! Меня зовут Самвел, я являюсь координатором тьюторов КИДЗ. ❓Почему Вы решили стать координатором направления КИДЗ? Решение стать координатором было для меня логичным продолжением пути тьютора. Я закончил Школу тьюторов на 5 курсе и сразу же взял на себя роль координатора своего института. Мне всегда казалось, что это «моя» должность — я искренне люблю атмосферу первых организационных собраний, момент, когда…

❤11🔥4😢3👏1💘1

5 Nov 2026, 12:00 UTC517 views5 reactionsread 6 November 2026

✨ Встречайте нового героя! «Импульс успеха» - полюбившийся формат интервью, в котором мы рассказываем, в чем преуспевают студенты СГМУ помимо учебы!

❤2🔥2💘1

5 Nov 2026, 12:00 UTC513 views15 reactionsread 6 November 2026
Photo

👨‍⚕️#ИмпульсУспеха

🔥9💘3😍3

4 Nov 2026, 05:03 UTC633 views11 reactionsread 6 November 2026
Photo

🇷🇺Уважаемые коллеги и обучающиеся СГМУ имени В.И. Разумовского! Сегодня мы отмечаем День народного единства — дату, которая напоминает нам о великой силе сплоченности и дружбы народов. Для врача и будущего медика единство имеет особый, почти сакральный смысл. В операционной, в палате интенсивной терапии или на дежурстве нет места разногласиям. Там есть только одна нация — люди в белых халатах, объединенные общей ми…

❤9🎉2

3 Nov 2026, 12:00 UTC531 viewsread 6 November 2026
Poll

❓Насколько комфортно вы чувствовали себя, задавая вопросы на лекциях или семинарах?

  1. Абсолютно комфортно, меня всегда выслушивали11%
  2. В целом комфортно, но иногда торопили16%
  3. Скорее некомфортно, боялся(лась) реакции42%
  4. Не было возможности или желания спрашивать32%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTC501 viewsread 6 November 2026
Poll

❓Если возникала необходимость сдать задолженность (отработать пропуски, пересдать тему или экзамен), насколько преподаватели кафедры шли навстречу?

  1. Всегда шли навстречу, предлагали удобное время и помогали разобрать материал0%
  2. В основном шли навстречу, но иногда приходилось долго договариваться54%
  3. Шли неохотно, создавали дополнительные препятствия или назначали неудобное время8%
  4. Отказывали в помощи, ссылаясь на занятость или правила, без попытки найти решение23%
  5. Не сталкивался(лась) с такой необходимостью15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTC415 viewsread 6 November 2026
Poll

❓Как вы оцениваете качество учебных материалов и наглядных пособий, которые использовались на занятиях (схемы, муляжи, фантомы, презентации, видео)?

  1. Отличное, все современное, понятное и доступное7%
  2. Хорошее, но некоторые материалы устарели или плохо читаются0%
  3. Удовлетворительное, многого не хватало, приходилось доучивать по другим источникам64%
  4. Плохое, материалы низкого качества или практически отсутствовали29%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTC391 viewsread 6 November 2026
Poll

❓Насколько логично и доступно, по вашему мнению, выстроена последовательность изучения тем?

  1. Полностью логично, переходы плавные17%
  2. В основном логично, но некоторые темы стоило бы поменять местами33%
  3. Есть ощутимые пробелы или скачки42%
  4. Трудно оценить, так как материал давался фрагментарно8%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTC461 viewsread 6 November 2026
Poll

❓Как часто вы самостоятельно обращались к преподавателям кафедры за разъяснением тем или консультацией вне расписания?

  1. Регулярно, всегда получал(а) помощь0%
  2. Несколько раз за курс42%
  3. Ни разу, потому что все было понятно из лекций8%
  4. Ни разу, потому что обратной связи нет50%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTC503 views0 reactionsread 6 November 2026

🍂Осень окрасилась самыми яркими красками, а студенты и преподаватели полностью окунулись в образовательный процесс. Новый учебный цикл — отличная возможность оглянуться назад и вспомнить, как проходили занятия в пошлом году. 📚В СГМУ каждая кафедра стремится к высокому качеству преподавания. Кафедра травматологии и ортопедии — не исключение. Пройденный на ней курс — это не только протоколы и алгоритмы, но и живые зан…

3 Nov 2026, 08:13 UTC585 views8 reactionsread 6 November 2026
Photo

🤝Врач СГМУ вошел в экспертный совет стипендиального проекта «Donum» Читать подробнее...

❤7🔥1

Showing the 12 most recent of 113 posts we hold for @razumovsky_ru. 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.

Polls

The 6 most recent of 40 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

3 Nov 2026, 12:00 UTCAnonymous Poll19 voters

❓Насколько комфортно вы чувствовали себя, задавая вопросы на лекциях или семинарах?

  1. Абсолютно комфортно, меня всегда выслушивали11%
  2. В целом комфортно, но иногда торопили16%
  3. Скорее некомфортно, боялся(лась) реакции42%
  4. Не было возможности или желания спрашивать32%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTCAnonymous Poll13 voters

❓Если возникала необходимость сдать задолженность (отработать пропуски, пересдать тему или экзамен), насколько преподаватели кафедры шли навстречу?

  1. Всегда шли навстречу, предлагали удобное время и помогали разобрать материал0%
  2. В основном шли навстречу, но иногда приходилось долго договариваться54%
  3. Шли неохотно, создавали дополнительные препятствия или назначали неудобное время8%
  4. Отказывали в помощи, ссылаясь на занятость или правила, без попытки найти решение23%
  5. Не сталкивался(лась) с такой необходимостью15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTCAnonymous Poll14 voters

❓Как вы оцениваете качество учебных материалов и наглядных пособий, которые использовались на занятиях (схемы, муляжи, фантомы, презентации, видео)?

  1. Отличное, все современное, понятное и доступное7%
  2. Хорошее, но некоторые материалы устарели или плохо читаются0%
  3. Удовлетворительное, многого не хватало, приходилось доучивать по другим источникам64%
  4. Плохое, материалы низкого качества или практически отсутствовали29%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTCAnonymous Poll12 voters

❓Насколько логично и доступно, по вашему мнению, выстроена последовательность изучения тем?

  1. Полностью логично, переходы плавные17%
  2. В основном логично, но некоторые темы стоило бы поменять местами33%
  3. Есть ощутимые пробелы или скачки42%
  4. Трудно оценить, так как материал давался фрагментарно8%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 12:00 UTCAnonymous Poll12 voters

❓Как часто вы самостоятельно обращались к преподавателям кафедры за разъяснением тем или консультацией вне расписания?

  1. Регулярно, всегда получал(а) помощь0%
  2. Несколько раз за курс42%
  3. Ни разу, потому что все было понятно из лекций8%
  4. Ни разу, потому что обратной связи нет50%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

27 Aug 2026, 11:02 UTCAnonymous Poll20 voters

❓Насколько комфортно вы чувствовали себя, задавая вопросы на лекциях или семинарах?

  1. Абсолютно комфортно, меня всегда выслушивали15%
  2. В целом комфортно, но иногда торопили5%
  3. Скорее некомфортно, боялся(лась) реакции65%
  4. Не было возможности или желания спрашивать15%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 113 most recent posts we hold, published 3 August 2026 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

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 3 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.

Cross-platform identity — Wikidata

A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.

Q4408455 on Wikidata, read 1 November 2026
LabelSaratov State Medical University
DescriptionPublic Medical University in Saratov
Official sitehttp://www.sgmu.ru/

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“Саратовский | МЕД” (@razumovsky_ru), 7,799 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/razumovsky_ru.

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.