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Channel

Влюбленные в гастроэнтерологию❤️

@gastro_dsk

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

6,262subscribers

-102 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1002168880274
TypeChannel
Username@gastro_dsk
Description😍Все курсы гастро: https://clck.ru/3U5d7n Канал создан для тех, кто стремится разбираться в заболеваниях ЖКТ. Здесь мы разбираем клин. случаи, делимся опытом 📱Мы в ВКонтакте: https://vk.ru/gastrodsk 📱Мы в МАХ:https://max.ru/join/-T8Zyr29H8MCmCJCuQuobkGq6
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/gastro_dsk

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 88% 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 word for word on 4 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
@endo_docstarclub/17921 Aug 2026, 11:47 UTC@gastro_dsk/2914 · this entry1 Aug 2026, 11:48 UTC1.00under a minute
@gastro_dsk/2915 · this entry1 Aug 2026, 15:34 UTC@endo_docstarclub/17931 Aug 2026, 15:35 UTC1.00under a minute
@gastro_dsk/2918 · this entry4 Aug 2026, 15:43 UTC@endo_docstarclub/17964 Aug 2026, 15:43 UTC1.00under a minute
@endo_docstarclub/17974 Aug 2026, 16:14 UTC@gastro_dsk/2919 · this entry4 Aug 2026, 16:15 UTC1.00under a minute
@endo_docstarclub/18035 Aug 2026, 15:16 UTC@gastro_dsk/2925 · this entry5 Aug 2026, 15:17 UTC1.00under a minute
@gastro_dsk/2926 · this entry6 Aug 2026, 06:13 UTC@endo_docstarclub/18046 Aug 2026, 06:13 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@endo_docstarclub12 (8/8 hand-verifiable sample passed)1.00under a minuteeven
@hemostasiology_dsc12 (8/8 hand-verifiable sample passed)1.00under a minuteeven
@progressivnyj_klinicist12 (8/8 hand-verifiable sample passed)1.00under a minute@progressivnyj_klinicist (7–5)
@dsc_all11 (8/8 hand-verifiable sample passed)1.004 minutes@dsc_all (9–2)

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. 13 of the 28 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 14 comparable posts for this entry, running 1 August 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 5, the earliest publisher we hold is @progressivnyj_klinicist. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, 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 4 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

6,2616,3796,3207 August 2026 — 6,364 subscribers7 August 2026 — 6,364 subscribers11 August 2026 — 6,357 subscribers14 August 2026 — 6,358 subscribers17 August 2026 — 6,359 subscribers20 August 2026 — 6,352 subscribers26 August 2026 — 6,372 subscribers30 August 2026 — 6,379 subscribers1 September 2026 — 6,377 subscribers5 September 2026 — 6,367 subscribers10 September 2026 — 6,362 subscribers14 September 2026 — 6,350 subscribers18 September 2026 — 6,341 subscribers29 September 2026 — 6,322 subscribers6 October 2026 — 6,298 subscribers12 October 2026 — 6,296 subscribers15 October 2026 — 6,293 subscribers18 October 2026 — 6,289 subscribers22 October 2026 — 6,283 subscribers24 October 2026 — 6,276 subscribers27 October 2026 — 6,270 subscribers30 October 2026 — 6,265 subscribers2 November 2026 — 6,261 subscribers6 November 2026 — 6,262 subscribers6,2627 August 20266 November 2026
24 measurements spanning 91 days, net -102. 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 6,243–6,397 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
6 Nov 2026, 06:566,262+1
2 Nov 2026, 19:406,261-4
30 Oct 2026, 17:276,265-5
27 Oct 2026, 21:406,270-6
24 Oct 2026, 22:116,276-7
22 Oct 2026, 00:206,283-6
18 Oct 2026, 23:556,289-4
15 Oct 2026, 21:016,293-3
12 Oct 2026, 22:566,296-2
6 Oct 2026, 05:406,298-24
29 Sept 2026, 04:396,322-19
18 Sept 2026, 23:206,341-9
14 Sept 2026, 10:186,350-12
10 Sept 2026, 12:586,362-5
5 Sept 2026, 09:396,367-10
1 Sept 2026, 22:346,377-2
30 Aug 2026, 01:536,379+7
26 Aug 2026, 22:476,372+20
20 Aug 2026, 20:046,352-7
17 Aug 2026, 13:146,359first reading

Engagement

61 posts held, back to 1 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 14 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.56%
avg views ÷ 6,262 subscribers
Avg views / post
160
17 posts measured
Reaction rate
2.31%
reactions ÷ views · ER floor
Posts in window
17
of 61 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 6 of 17 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 held61 (1 August 2026 – 6 November 2026)
Views total2,724
Reactions total25
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 15:56 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
≈1,170
Videos
≈177
Links
≈911

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 41s
Average length
57s

Measured directly from 6 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

66 reactions across 37 posts, in 5 distinct kinds. The most used accounts for 40.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2740.9%
👍1624.2%
❤1319.7%
👏69.09%
🎉46.06%

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 38 of the 61 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 66 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 1 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: 0 of 17 posts held from the last 30 days (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, 14:28 UTC42 viewsread 6 November 2026
Video

Кофе вместо завтрака, обед между приемами. Так в нашей сказке живут врачи Дома Тела. Тея считает это нормой: так ела её бабушка, так едят все, кому некогда. Гастроэнтеролог каждый день объясняет пациентам, почему есть нужно регулярно и не на бегу. Сказать это убедительно трудно, если собственный обед умещается между двумя приёмами. Гиппократия строится на простой мысли: о здоровом образе жизни врач может говорить …

6 Nov 2026, 14:26 UTC42 viewsread 6 November 2026

Команда АНО Созвездие и генеральный директор Демкина Александра, к.м.н, врач, психолог, подготовили для вас ресурсные сказки, чтобы ваши выходные могли пройти мягче, бережнее, с заботой о себе.

5 Nov 2026, 16:17 UTC143 views16 reactionsread 6 November 2026
Video

Пациент пишет в половине двенадцатого ночи: «в боку тянет, не страшно, но вдруг». Даже когда вы спите. Заведующая уже поставила вас на субботнее дежурство, потому что «у тебя нет семьи, ты молодая». И вы говорите «конечно» раньше, чем успеваете подумать. Так живёт Тея, героиня нашей сказки для врачей. Потом она попадает на остров, где главный врач принимает под дубом и первым делом спрашивает, сколько часов она спа…

🔥10❤4👍2

5 Nov 2026, 10:11 UTC147 viewsread 6 November 2026
Photo

ИИ не заменит врача, но может заменить его роль, если врач это позволит Технологии в медицине развиваются быстрее, чем меняется поведение людей. По презентации Минздрава, к 2030 году у 95% электронных карт должен появиться профиль, сформированный ИИ, половину рентгеновских исследований планируется описывать с его помощью, а в 30% обращений в первичное звено ИИ будет давать рекомендации. Кажется, что самое сложное …

4 Nov 2026, 15:04 UTC173 views1 reactionsread 6 November 2026

Почему пациент знает, что нужно есть больше клетчатки, но ничего не меняет? Гастроэнтеролог регулярно сталкивается с ситуацией: пациенту даны рекомендации по питанию, объяснена роль пищевых волокон, предложены изменения рациона. Но на следующем приёме привычки остаются прежними. Почему? Потому что знать рекомендацию и следовать ей - разные вещи. Питание зависит не только от медицинских знаний. На него влияют при…

👍1

4 Nov 2026, 12:35 UTC172 views1 reactionsread 6 November 2026
Photo

4 ноября: единство, которое медицина знала всегда Цепочку помощи мы знали всегда: профилактика, диагностика, лечение, реабилитация. Последние десятилетия медицина вкладывалась в её середину, и это был важный этап. Мы научились спасать людей, которых раньше не спасали: инфаркт, инсульт, онкологию, тяжёлую травму. Без этого этапа не было бы ничего из того, что мы имеем сегодня. Сейчас маятник идёт обратно. Профилакти…

🔥1

3 Nov 2026, 14:13 UTC189 viewsread 6 November 2026
Video

По ряду кардиологических направлений целевых показателей лечения достигают только 15% пациентов. Эту статистику показали на Национальном конгрессе. Речь о кардиологии, одном из самых сильных и прогрессивных медицинских сообществ, где у врачей есть все инструменты. Значит, одних клинических знаний для хорошего результата мало. Пациент может согласно кивать на приёме, а потом не пить препарат, не приходить на контрол…

2 Nov 2026, 18:21 UTC197 views3 reactionsread 6 November 2026
Photo

Медицина 3.0: что показали на конгрессе «Национальное здравоохранение» и чему придётся учиться врачу Директор АНО «Созвездие» Александра Демкина сегодня побывала на V конгрессе «Национальное здравоохранение». Минздрав представил Стратегию развития здравоохранения до 2030 года. Рассказываем главное. 1. Переход от медицины 2.0 к медицине 3.0 Было: жалоба, диагноз, лечение по факту обращения и протокол «одна таблетка …

🔥3

2 Nov 2026, 10:31 UTC178 views2 reactionsread 6 November 2026
Photo

Поздравляем 20 победителей розыгрыша на вебинаре «Слабость и усталость: что искать, если это не анемия?»! Мы разыграли по 5 электронных книг по терапии, гастроэнтерологии, нутрициологии и эндокринологии. В ближайшее время каждый победитель получит ссылку на свою книгу по электронной почте. Проверяйте входящие! Не выиграли? Книгу для своей практики можно выбрать в каталоге Докстарклаб. Наши легендарные книги - это …

🔥2

1 Nov 2026, 18:00 UTC178 viewsread 5 November 2026
Video

Завтра понедельник. С каким настроением пойдете на работу? Пишите номер в комментариях, посмотрим, кого среди нас больше.

1 Nov 2026, 16:28 UTC197 viewsread 5 November 2026
Video

А что, если завтра вы начнете разбираться в аритмологии совсем на другом уровне? Сегодня начинаем день с видео, которое расскажет про курс Аритмология лучше всего ❤️ За ним - реальные впечатления коллег, которые уже прошли обучение на курсе «Аритмология». Их опыт, результаты и отзывы - лучшее подтверждение того, что системные знания действительно меняют подход к работе с пациентами. И у нас для вас важная новость! …

Showing the 12 most recent of 61 posts we hold for @gastro_dsk. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @gastro_dsk as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
6 November 2026
Most recent seen missing
6 November 2026
Median time before seen missing
26 hours
Seen missing in the last 30 days
1

Polls

The 6 most recent of 7 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.

10 Aug 2026, 14:46 UTCAnonymous Quiz16 voters

Что на ЭКГ?

  1. АВ-блокада 2 степени6%
  2. Синусовая тахикардия6%
  3. Одиночная желудочковая экстрасистолия88%

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

10 Aug 2026, 14:05 UTCAnonymous Quiz20 voters

Что на ЭКГ?

  1. Синусовый ритм65%
  2. Трепетание предсердий15%
  3. Предсердная тахикардия20%

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

10 Aug 2026, 13:33 UTCAnonymous Quiz25 voters

Что на ЭКГ?

  1. АВУРТ ( по записи точно не скажем - пароксизмальная тахикардия с узкими QRS)84%
  2. Фибрилляция предсердий12%
  3. Синдром Вольфа-Паркинсона-Уайта4%

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

10 Aug 2026, 13:17 UTCAnonymous Quiz24 voters

1. Что на ЭКГ?

  1. АV- ритм с наджелудочковой экстрасистолой17%
  2. Фибрилляция предсердий67%
  3. АВ-блокада 1 степени17%

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

9 Aug 2026, 12:53 UTCAnonymous Quiz22 voters

Что на ЭКГ №3?

  1. Полная блокада правой ножки пучка Гиса36%
  2. Неполная блокада правой ножки пучка Гиса50%
  3. Блокада передней ветви левой ножки пучка Гиса14%

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

9 Aug 2026, 11:14 UTCAnonymous Quiz25 voters

Что на ЭКГ №2?

  1. Полная блокада правой ножки пучка Гиса16%
  2. Полная блокада левой ножки пучка Гиса76%
  3. Блокада задней ветви левой ножки пучка Гиса8%

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 61 most recent posts we hold, published 1 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.

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

“Влюбленные в гастроэнтерологию❤️” (@gastro_dsk), 6,262 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/gastro_dsk.

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.