Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
38 measurements spanning 68 days, net +357. 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 21,194–21,696 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 38
Measured (UTC)
Subscribers
Change
14 Oct 2026, 15:19
21,627
-11
13 Oct 2026, 03:37
21,638
+46
8 Oct 2026, 19:54
21,592
+26
4 Oct 2026, 09:58
21,566
+42
25 Sept 2026, 18:37
21,524
+46
19 Sept 2026, 00:17
21,478
+11
16 Sept 2026, 17:18
21,467
+12
14 Sept 2026, 20:39
21,455
+15
13 Sept 2026, 09:59
21,440
+1
11 Sept 2026, 11:21
21,439
+9
8 Sept 2026, 16:55
21,430
+16
5 Sept 2026, 08:56
21,414
+12
3 Sept 2026, 09:43
21,402
+5
2 Sept 2026, 03:11
21,397
+8
1 Sept 2026, 00:17
21,389
+5
30 Aug 2026, 23:06
21,384
+5
30 Aug 2026, 02:24
21,379
+2
29 Aug 2026, 03:46
21,377
+8
28 Aug 2026, 07:17
21,369
+7
27 Aug 2026, 05:36
21,362
first reading
Engagement
28 posts held, back to 18 April 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.6%
avg views ÷ 21,627 subscribers
Avg views / post
4,900
2 posts measured
Reaction rate
2.09%
reactions ÷ views · ER floor
Posts in window
2
of 28 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 October 2026
Posts held
28 (18 April 2026 – 3 October 2026)
Views total
9,790
Reactions total
205
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 11:03 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
Video runtime
1h 06m
Average length
16m 33s
Measured directly from 4 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
3,192 reactions across 28 posts, in 22 distinct kinds. The most used accounts for 48.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,547
48.5%
👍
847
26.5%
🔥
422
13.2%
🥰
99
3.10%
😁
85
2.66%
👏
55
1.72%
❤🔥
46
1.44%
🤣
39
1.22%
🎉
10
0.313%
✍
6
0.188%
💩
5
0.157%
😍
5
0.157%
🏆
4
0.125%
🤯
4
0.125%
👀
3
0.094%
💘
3
0.094%
🤔
3
0.094%
👎
2
0.063%
🙈
2
0.063%
🙏
2
0.063%
2 further kinds
3
0.094%
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 28 of the 28 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 3,192 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 18 April 2026 to 3 October 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
7
across the posts below
Posts paid on
6
of 28 we hold a reading for · 21%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ibs_doc. 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 28 most recent posts we hold for this entry, published 18 April 2026 to 3 October 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.
С тех пор, как я узнал о диете Low FODMAP, увидел как она работает на себе (у меня с детства СРК, но благодаря FODMAP и моим антидепрессантам, теперь все стабильно хорошо) и своих пациентах, я долго мечтал о доставках еды с Low FODMAP меню. 😭
Мы с женой вообще луконенавистники: мало того, что вкус не любим, так еще и его вздувающий эффект не приветствуем. Но найти готовые котлеты без лука и чеснока в составе очень …
Мы с классными новостями! Для вашего любимого псиллиума от Kissel Kitchen появилась доставка в страны СНГ 💚
Когда оформляете заказ на сайте, выбирайте службу доставки СДЕК 💚
Желаю вам здоровых животиков и комфортного стула 🪑
Знаю, что у меня в подписчиках много дерматологов, поэтому делюсь с вами новостью, о том, что мои дорогие коллеги❤️ из Клиники Фомина 🏥 создали курс «Псориаз. Диагностика: это база» на платформе Meducation.
👍Мы с вами знаем, что псориаз — это диагноз, который может принимать разные формы: поражать ногти, волосистую часть головы, ладони и подошвы. Это сложный иммуновоспалительный процесс, понимание которого необходим…
Лето закончилось, теплые деньки все короче. Доктор Киссель этой осенью приготовил для вас прекрасный сюрприз! Продлите лето с новыми вкусами псиллиума от Kissel Kitchen — это тот самый случай, когда полезная привычка становится ещё и вкусной:
🍊нетленная классика со вкусом апельсина
🌸тропическая вечеринка со вкусом ананаса
🌸южноазиатская нежность со вкусом манго
📖 Псиллиум — полурастворимая клетчатка из оболочки семя…
Синдром-самозванец: как ACNES целый год скрывался под маской СРК. История Светы
Света, участница сообщества пациентов и волонтёр фонда «Астра», год искала причины боли в животе. Ей говорили, что это синдром раздражённого кишечника, но терапия антидепрессантами не помогала. Органических причин тоже не нашли: гастроскопия, колоноскопия и УЗИ ничего не показали. Разгадать диагноз, который целый год маскировался под СРК…
LOW-FODMAP тыквенные маффины
Мы перевернули календарь и решили, что пора возвращаться с затянувшихся каникул!
🧁 Нежные пряные маффины с тыквой — уютная выпечка для осеннего утра, перекуса на работе или домашнего чаепития.
🎃Тыква, корица и имбирь создают тот самый осенний аромат, из‑за которого хочется поставить чайник ещё до того, как маффины остынут.
🥣 Порций: 12 маффинов
🫙 Подготовка: 15 минут
🙌 Приготовление: 2…
«Обследовались? — Обследовалась. Всё в норме. — А живот болит? — Болит».
Это большой кусок практики, в котором никто толком не разбирается. Психолог не понимает, где заканчивается его работа и начинается врачебная. Гастроэнтеролог не понимает, что делать с пациентом, у которого «всё в норме». Человек между ними ходит по кругу и постепенно перестаёт верить обоим.
Мы затеяли с этим разобраться. Вместе с пространством…
Запись эфира с кардиологом
00:15 знакомство с Алиной Геннадьевной Плисюк
01:14 Когда стоит пойти к кардиологу?
03:30 Что можно пройти самостоятельно и какие анализы имеет смысл сделать перед консультацией кардиолога?
06:01 Аполипротеин А
07:00 Сосуды шеи (брахиоцефальные артерии) и бедренные артерии - зачем их смотреть?
08:38 В сосудах шеи все ок, а в бедренных может быть все плохо?
10:45 Нашли бляшки? Пьем статины!…
Дорогие подписчики,
1️⃣2️⃣🔴0️⃣0️⃣ 🌺🌺🌺🌺 9️⃣ ❤️💛❤️💛❤️💚❤️
В это воскресенье мы с врачом-кардиологом, кмн, доцентом кафедры терапии факультета фундаментальной медицины МНОИ МГУ имени М.В. Ломоносова🌇 – Плисюк Алиной Геннадьевной проведем совместный эфир и 🎙️Обсудим следующие вопросы:
💚Когда стоит пойти к кардиологу?
🔴Статины и мифы о них - почему не стоит их бояться.
💚Как узнать, что пора пить статины?
🔴Есть ли аль…
Познаем свой кишечник №2
В предыдущем посте мы познакомились с гастроколическим рефлексом.🔽
А в этом рассмотрим рефлекс, работающий в обратную сторону - кологастральный ингибиторный рефлекс.🔼
Из названия понятно, что кишечник будет тормозить желудок.⛔️
Этот рефлекс может объяснить, почему вполне «желудочные» симптомы (например тошнота, тяжесть в эпигастрии и т.д.) 🔺 возникают при запорах и повышенном газообразова…
Познаем свой кишечник №1📍
Из раза в раз на приеме я объясняю пациентам, что если кишечные симптомы появляются моментально или в пределах пары часов после употребления какого-то продукта, то этот продукт не виноват в этой реакции.😱
Не виновата лактоза, не виноваты FODMAPы, не виновата свежесть овощей
(они еще не могли добраться до толстой кишки - смотрите временные рамки в моей методичке - https://t.me/ibs_doc/316),…
❤191👍76🥰17❤🔥8🔥6
Showing the 12 most recent of 28 posts we hold for @ibs_doc. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Много ли психологов среди моих подписчиков?
А психологов, которые занимаются пациентами с СРК и другими расстройствами ЖКТ?
Я психолог, занимаюсь такими пациентами2%
Я психолог, не занимаюсь такими пациентами, но хотел/а бы4%
Я психолог, не занимаюсь такими пациентами и не планирую3%
Я не психолог90%
Shares as published, totalling 99%. 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 28 most recent posts we hold, published 18 April 2026 to 3 October 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 4 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@ibs_doc named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@blagastrosasha named in 4 posts, 8 August 2026 – 11 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Dr. Симаков 🧠|Нейрогастроэнтеролог @drsimakov · 6,268#1
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич @ag_kharitonov · 58,912#2
Read from Telegram’s recommendation API, most recently 23 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 Саша @gastrosasha95 · 41,016 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 30 August 2026
Гастроэнтеролог Лопатина М.В. @gastrogram · 36,893 Telegram ranks this channel #5 of 99 here — alongside 98 others — read 1 September 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич @ag_kharitonov · 58,912 Telegram ranks this channel #7 of 99 here — alongside 98 others — read 22 August 2026
Доктор Вялов @doctorvyalov · 40,397 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 30 August 2026
СЪЕДОБНЫЙ НАУЧПОП @e_semika · 45,844 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 27 August 2026
Гастроэнтеролог & Терапевт @doctor_sitkina · 42,087 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 29 August 2026
Шура-док @schura_doc · 25,467 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 18 September 2026
dnevnikdoctora @dnevnikdoctora · 45,219 Telegram ranks this channel #23 of 98 here — alongside 97 others — read 27 August 2026
ДОКТОР ХАН @doctorkhanstanislav · 57,417 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 23 August 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,347 Telegram ranks this channel #29 of 94 here — alongside 93 others — read 3 September 2026
Инна Тулина хирург онколог, кмн @inna_tulina_a · 30,463 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 7 September 2026
Кардиолог Новикова Диана Сергеевна @cardiolognovikova · 24,493 Telegram ranks this channel #35 of 96 here — alongside 95 others — read 15 September 2026
Максим Кузнецов - Врач эндокринолог @medic_smith · 149,734 Telegram ranks this channel #41 of 98 here — alongside 97 others — read 13 August 2026
Клинфарм замес | Евгений Никитин @tgnikitin · 44,244 Telegram ranks this channel #49 of 87 here — alongside 86 others — read 28 August 2026
Нефролог I Данила Пыриков @pyrikov · 67,298 Telegram ranks this channel #50 of 98 here — alongside 97 others — read 20 August 2026
Юлия Сидорова |Детский эндокринолог| @sidorovasay · 26,685 Telegram ranks this channel #59 of 93 here — alongside 92 others — read 11 September 2026
Занимательная эндокринология @funwithmedicine · 22,727 Telegram ranks this channel #70 of 98 here — alongside 97 others — read 20 September 2026
Docma.ru - ДОКАЗАТЕЛЬНАЯ МЕДИЦИНА @Docma_ru · 41,780 Telegram ranks this channel #74 of 98 here — alongside 97 others — read 29 August 2026
This channel appears in 18 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 14 October 2026 — this
entry's latest reading, not the date you are reading this.
“Газовый гигант (ibs.doc)🪐” (@ibs_doc), 21,627 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/ibs_doc.
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.