Гастроэнтеролог с 17-летним стажем.
Эффективные схемы и рекомендации по коррекции проблем в ЖКТ в канале.
Онлайн-консультаций нет!
Правила чата: https://t.me/doc_gastro_life/5609
Уведомление № 010530
А+:
#ZZL1P
Created
Between 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
11 measurements spanning 10 days, net +470. 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 75,577–76,203 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Aug 2026, 12:23
76,119
-12
16 Aug 2026, 02:05
76,131
+32
14 Aug 2026, 14:05
76,099
+91
13 Aug 2026, 07:44
76,008
+82
12 Aug 2026, 09:02
75,926
+130
11 Aug 2026, 06:16
75,796
+64
10 Aug 2026, 06:31
75,732
+3
9 Aug 2026, 08:51
75,729
+17
8 Aug 2026, 06:40
75,712
+63
7 Aug 2026, 10:30
75,649
no change
7 Aug 2026, 10:18
75,649
first reading
Engagement
38 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 25 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
5.39%
avg views ÷ 76,119 subscribers
Avg views / post
4,100
38 posts measured
Reaction rate
1.83%
reactions ÷ views · ER floor
Posts in window
38
of 38 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 37 of 38 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 17 August 2026
Posts held
38 (3 August 2026 – 17 August 2026)
Views total
155,840
Reactions total
2,781
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Aug 2026, 22:47 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
≈1,970
Videos
≈1,090
Links
≈1,280
Lifetime counters from Telegram’s own channel header, read 17 August 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
7m 14s
Average length
1m 02s
Measured directly from 7 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
2,781 reactions across 37 posts, in 17 distinct kinds. The most used accounts for 78.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,191
78.8%
👍
336
12.1%
🔥
116
4.17%
😁
34
1.22%
😱
29
1.04%
💯
22
0.791%
🙏
10
0.36%
🥰
9
0.324%
❤🔥
7
0.252%
⚡
5
0.18%
🤩
5
0.18%
🤯
5
0.18%
👌
4
0.144%
👏
3
0.108%
🤣
3
0.108%
🕊
1
0.036%
😭
1
0.036%
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 37 of the 38 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 2,781reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 38 most recent posts we hold, published 3 August 2026 to 17 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
2
of 38 we hold a reading for · 5%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doc_gastro_life. 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 38 most recent posts we hold for this entry, published 3 August 2026 to 17 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.
Почему лекарства даже самые проверенные и эффективные не помогают?
Соседке помогли, женщине в комментариях помогли, а вам нет?
Потому что всегда есть нюансы! Вы уникальны и ваша «болезнь» также уникальна.
Любой одинаковый симптом может иметь совершенно разные причины.
Вот пример ⬆️ участника практикума «Ваш здоровый ЖКТ» через неделю после старта. Сразу есть положительные изменения в самочувствии. Потому что чел…
Хеликобактер: почему недостаточно просто пропить антибиотики?! ⬇️
Ещё раз напоминаю ⬇️⬇️⬇️
Хеликобактер далеко не всегда является причиной развития гастрита и язвы желудка. Иногда хеликобактер является следствием.
То есть появляется какая-то причина, которая вызывает развитие язвы или гастрита, на фоне этих проблем снижается устойчивость слизистых и появляется хеликобактер.
Поэтому при терапии Хеликобактера важно…
✔️ 6 добавок для восстановления слизистой при ГЭРБ
✔️ Прикрытие желудка при приеме обезболивающих и подобных препаратов
✔️ Желчегонное меню
✔️ 6 добавок для запуска желчеоттока
✔️ Беру/не беру для здоровья кишечника
✔️ 6 добавок для восстановления слизистых при СРК
Все эти рекомендации уже доступны участникам закрытого канала нового марафона «Желудок. Желчный. Кишечник. Три этапа восстановления ЖКТ»
Доступ к к…
Нет!
Я не лечу гастрит травами… и таблетками тоже не лечу…
Потому что гастрит не лечится одной таблеткой, одной травой или одним БАДом!
Для начала важно разобраться, почему у человека возникла проблема, что происходит со слизистой, какие факторы её поддерживают, какие дефициты нужно корректировать, что делать с питанием и режимом. И только потом подбирать то, что действительно нужно конкретному пациенту.
И абсолю…
Крайне негативно отношусь к таким комментариям! Вы понятия не имеете, кому вы даете этот совет!
А если у человека камешек в протоке желчного, о котором он не знает?! Сразу неотложка и операционный стол…
А если у него уже имеются риски пищевода Баррета и есть не вылеченный рефлюкс?! Слизистая итак в одном шаге от рака, а мы усиливаем маслом рефлюкс…
А если дискинезия по гипермоторному типу? Пару дней диареи - это м…
Мое любимое «заблуждение» пациентов - надо пропить желчегонные 🤬
Это преступление! Принимать эти препараты, не зная, что с реологией вашей желчи.
Что будет рассказываю и показываю на видео ⬆️
🔗 Эфир по восстановлению нормальной работы желчного 19 августа
ПП‑завтраки, после которых желчь становится гуще ⬆️
❗️ Что ещё важно запомнить:
1. Не нужно с утра пить масло ложками и устраивать себе «чистки печени и желчного» из интернета.
2. Если у вас уже нашли сладж, густую желчь, перегиб, камни или есть боль под правым ребром — не подбирайте себе «желчегонные» по советам из соцсетей. Тактика зависит от причины и состояния желчного пузыря.
В закрытом канале нового бесплат…
Доктор сегодня злой…
____
Приходите на новый марафон по желудку, желчному, поджелудочной и кишечнику, чтобы не рисковать своим здоровьем из-за таких рекомендаций!
Скажите, что эффективнее, Регастим Гастро или Ребагит?
И Ребагит, и Регастим гастро - препараты, которые любят назначать при проблемах со слизистой желудка и гастрите. Оба помогают защищать и восстанавливать желудок.
Но если посмотреть трезво, это две детали большого пазла, а не сам пазл!
Что делает Ребагит:
✔️ помогает слизистой восстанавливаться, уменьшает воспаление
✔️ может уменьшать боль, жжение, дискомфорт
…
Прямой эфир по восстановлению желудка
За один эфир разберём:
✔️ почему повышенная кислотность не причем при изжоге и боли
✔️ как найти причину своего гастрита
✔️ почему обязательно нужно лечить атрофии и метаплазию и какие 2 процесса мы при этом должны обеспечить
✔️ когда нужно травить Helicobacter pylori (и себя) антибиотиками
✔️ почему «стало легче» ещё не означает «проблема решена»
✔️ какие ошибки в лечении желу…
Врач сказал «повышенная кислотность» - вы поверили, пьёте «Омез» уже год...или два… или пять
Изжога на таблетках стихает, но стоит пропустить приём и всё возвращается. «Значит, пьём дальше» - говорят в поликлинике.
Вот только есть один момент, о котором мало кому говорят ⬇️
Повышенной кислотности желудка не существует!
Вообще
Ни у кого
Никогда
За «повышенной» кислотностью почти всегда скрывается обратное — пониж…
❤30🔥6
Showing the 12 most recent of 38 posts we hold for @doc_gastro_life. 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.
Citation-graph rank
Citation-graph rank — 608,695 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 1 registered channel — 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Гастроэнтеролог Ольга Помойнецкая @olga_pomoynetskaya · 254,872 Telegram ranks this channel #14 of 92 here — alongside 91 others — read 10 August 2026
PRO гормоны и БАДы | Диляра Лебедева эндокринолог @lebedeva_dilyara · 136,445 Telegram ranks this channel #19 of 90 here — alongside 89 others — read 13 August 2026
Доктор Виктория Орлинская @cardiodokstories · 160,343 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 12 August 2026
Тимофей Кармацкий @karmatsky_timofey · 186,871 Telegram ranks this channel #82 of 94 here — alongside 93 others — read 11 August 2026
This channel appears in 4 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 17 August 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Павлов” (@doc_gastro_life), 76,119 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/doc_gastro_life.
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.