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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Views per post sit far below this size band
128 average views per post against 25,212 subscribers — an engagement rate of 0.506%. Across the 21,335 registered channels in the same cohort — 10,000–31,621 subscribers, posting mainly in Russian — the middle half sit between 5.84% and 23.6%, with a median of 12.1%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
119 of 122 published in the window (119 exact, 0 rounded by Telegram)
Views totalled
15,193
Mature posts only
0.537% over 106 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_low, last confirmed 5 November 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.
Growth
62 measurements spanning 92 days, net -19,939. 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 22,143–48,064 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
7 Nov 2026, 11:40
25,134
-47
6 Nov 2026, 13:05
25,181
-31
5 Nov 2026, 10:41
25,212
-63
4 Nov 2026, 08:55
25,275
-61
3 Nov 2026, 08:01
25,336
-35
2 Nov 2026, 11:30
25,371
-51
1 Nov 2026, 13:06
25,422
-64
31 Oct 2026, 13:40
25,486
-62
30 Oct 2026, 14:26
25,548
-75
29 Oct 2026, 10:49
25,623
-54
28 Oct 2026, 10:51
25,677
-1,715
27 Oct 2026, 11:17
27,392
-53
26 Oct 2026, 14:30
27,445
-29
25 Oct 2026, 17:06
27,474
-64
24 Oct 2026, 20:08
27,538
-76
23 Oct 2026, 19:25
27,614
-84
22 Oct 2026, 17:07
27,698
-58
21 Oct 2026, 15:45
27,756
-49
20 Oct 2026, 10:56
27,805
-41
19 Oct 2026, 12:20
27,846
first reading
Engagement
217 posts held, back to 5 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 164 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.49%
avg views ÷ 25,134 subscribers
Avg views / post
123
131 posts measured
Reaction rate
2.78%
reactions ÷ views · ER floor
Posts in window
134
of 217 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 86 of 131 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 7 November 2026
Posts held
217 (5 August 2026 – 7 November 2026)
Views total
16,140
Reactions total
332
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 09:38 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
13m 58s
Average length
52s
Measured directly from 16 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
637 reactions across 153 posts, in 10 distinct kinds. The most used accounts for 36.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
234
36.7%
👍
219
34.4%
🔥
168
26.4%
👌
7
1.10%
❤🔥
2
0.314%
👏
2
0.314%
🙏
2
0.314%
💊
1
0.157%
💯
1
0.157%
🤗
1
0.157%
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 156 of the 217 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 637 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 217 most recent posts we hold, published 5 August 2026 to 7 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: 1 of 134 posts held from the last 30 days (0.746%) 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).
🎁 100 БЕЛКОВЫХ РЕЦЕПТОВ — В ПОДАРОК ЗА ВАШ ОТЗЫВ ОБ INJECTIV!
💙 Друзья, мы запускаем новую бессрочную акцию для всех, кто приобрёл курс витаминной поддержки INJECTIV «Витаминный щит»!
Ваш опыт может помочь другим бариатрическим пациентам. А мы хотим поблагодарить вас за то, что делитесь им.
📚 ЧТО ДАРИМ?
Электронную книгу «100 белковых рецептов» — подборку блюд, которая поможет сделать белковое питание после бариа…
💙 Витаминная поддержка: коротко о главном
«Можно ли выбрать комплекс по совету знакомого?» — нежелательно. «Достаточно ли хорошего самочувствия?» — нет. «Нужны ли анализы?» — объём контроля определяют индивидуально.
После бариатрии особенно важны вид операции, переносимость, показатели крови и история дефицитов. Поэтому одинаковые схемы не всегда подходят двум людям.
INJECTIV — один из вариантов организации витами…
📖 Какая обратная связь действительно полезна автору
Мне интересны не общие похвалы, а конкретика: какой раздел оказался понятным, какой рецепт пригодился и что стоило бы объяснить подробнее.
Поэтому я не буду публиковать вымышленные отзывы. Если вы читали материалы и готовы поделиться впечатлением, напишите честно — в том числе о том, что можно улучшить.
💬 Каким должно быть действительно удобное пособие?
Артём Пя…
💉 СЕМАГЛУТИД, ТИРЗЕПАТИД И РЕТАТРУТИД: В ЧЁМ РАЗНИЦА?
Сегодня хочу простыми словами объяснить, чем отличаются три препарата, о которых всё чаще говорят в контексте лечения ожирения.
🔹 Семаглутид — один механизм действия.
Воздействует на рецепторы GLP-1. Помогает уменьшить аппетит, быстрее почувствовать насыщение и снизить количество потребляемой пищи.
🔹 Тирзепатид — два механизма действия.
Воздействует на GLP-1 …
💙 Поддержка — это план, а не разовая покупка
После бариатрической операции нутритивное наблюдение продолжается годами. Удобнее, когда лабораторный контроль, питание и назначенная поддержка рассматриваются как единая система.
INJECTIV — программа витаминной поддержки, которую следует обсуждать индивидуально: состав, необходимость, способ введения и противопоказания определяет медицинский специалист. Программа не зам…
🚀 ЭКСПЕРТНАЯ БАРИАТРИЯ — приложение уже доступно!
Всё необходимое до и после бариатрической операции — в одном месте.
🔬 Лабораторный контроль и динамика анализов
🥗 Питание, рецепты и рационы
📚 Книги и полезные статьи
👨⚕️ Консультации и сопровождение
А скоро ещё больше возможностей: распознавание анализов, дневник самочувствия, расписание лекарств и добавок.
📲 Устанавливайте приложение уже сейчас!
Бесплатный дос…
📖 Хороший рецепт начинается не с красивой фотографии
В практическом пособии важно указать продукты, их количество, последовательность приготовления и возможные варианты адаптации. Тогда блюдо можно повторить, а не просто рассмотреть на картинке.
В «Бариатрической нутрициологии» рецептуре отведено особое место. При этом размер порции и текстура блюда должны соответствовать этапу восстановления.
💬 Какой рецепт разоб…
❤2👍1🔥1
Signed Expert Clinic Media Bot
Showing the 12 most recent of 217 posts we hold for @bariatric1. 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 2 posts on @bariatric1 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
25 October 2026
Most recent seen missing
25 October 2026
Median time before seen missing
13 hours
Seen missing in the last 30 days
2
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.
Какой показатель в анализах вызывает у вас больше всего вопросов? 🧪
Показатель, который победит, разберём отдельно и подробно — без магии референсов и гадания по звёздочкам в лабораторном бланке. 😄 #ПятыгинРазбирает #АнализыПослеБариатрии #КЛД
Железо/ферритин60%
В12/фолат25%
Общий белок / альбумин30%
Свой вариант в комментариях15%
The shares total 130%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 217 most recent posts we hold, published 5 August 2026 to 7 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 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.
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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Пятыгин Артём. Клинический и бариатрический нутрициолог” (@bariatric1), 25,134 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/bariatric1.
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.