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 11 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.
Growth
54 measurements spanning 92 days, net -116. 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 10,360–10,541 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)
Subscribers
Change
7 Nov 2026, 12:31
10,381
-6
6 Nov 2026, 09:35
10,387
-3
5 Nov 2026, 07:47
10,390
-3
4 Nov 2026, 06:18
10,393
-3
3 Nov 2026, 03:29
10,396
-11
2 Nov 2026, 05:41
10,407
-2
1 Nov 2026, 03:16
10,409
-7
31 Oct 2026, 02:51
10,416
-9
30 Oct 2026, 02:08
10,425
-1
29 Oct 2026, 03:37
10,426
+1
28 Oct 2026, 05:01
10,425
-1
27 Oct 2026, 07:45
10,426
-6
26 Oct 2026, 04:50
10,432
-4
25 Oct 2026, 06:45
10,436
-5
24 Oct 2026, 06:21
10,441
-4
23 Oct 2026, 06:49
10,445
+2
22 Oct 2026, 05:22
10,443
-8
21 Oct 2026, 01:06
10,451
-1
19 Oct 2026, 21:09
10,452
-2
18 Oct 2026, 20:46
10,454
first reading
Engagement
27 posts held, back to 27 May 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.5%
avg views ÷ 10,381 subscribers
Avg views / post
1,820
9 posts measured
Reaction rate
2.53%
reactions ÷ views · ER floor
Posts in window
9
of 27 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 6 November 2026
Posts held
27 (27 May 2026 – 6 November 2026)
Views total
16,370
Reactions total
414
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 09:03 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
3s
Average length
3s
Measured directly from 1 video 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
1,339 reactions across 27 posts, in 13 distinct kinds. The most used accounts for 42.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
574
42.9%
🔥
380
28.4%
👍
229
17.1%
👏
46
3.44%
😁
35
2.61%
🥰
34
2.54%
⚡
11
0.822%
🎉
8
0.597%
🤝
8
0.597%
❤🔥
4
0.299%
💯
4
0.299%
😍
4
0.299%
🤩
2
0.149%
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 27 of the 27 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 1,339 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 27 May 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 9 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).
🧠 Как помочь мозгу сохранять фокус днем и отдыхать ночью? И при чем здесь аминокислоты?
Бывает, что утром сложно собраться с мыслями, днем внимание постоянно переключается, а вечером, когда наконец появляется время для отдыха, мозг продолжает работать на полной мощности. Знакомо?
В новом выпуске Symposium Wellness разбираемся, как питание связано с работой мозга, от чего зависит когнитивная устойчивость и можно ли …
Сколько вам лет на самом деле: 5 экспресс-тестов на биологический возраст 🧬
Биологический возраст показывает, как реально работают клетки, ткани и органы, – им может быть как меньше, так и больше возраста в паспорте.
📋 Оценить его можно самостоятельно через простые функциональные тесты: эластичность кожи, гибкость, подвижность плечевого пояса и равновесие. А сосудистый возраст дополнительно измеряют прибором «Ангио…
Внимание, утечка кадров! 👀
🤪 Мы не должны были это показывать... но разве можно удержаться?
Скоро на канале стартует новый формат – детективные расследования про нейронутрицевтики. Настоящие дела, загадки и неожиданные развязки.
А пока делимся эксклюзивным бэкстейджем со съемок.
Это надо видеть – и ждать премьеру вместе с нами! 🔥
Алекситимия: «Я не знаю, что чувствую»
Представим женщину средних лет: двое детей, работа, где она отвечает за чужие отчеты. Если спросить, что она чувствует, она подумает дольше, чем над самым сложным отчетом, и ответит: «Нормально».
🙁 При этом вечерами – раздражение, в машине иногда наворачиваются слезы из ниоткуда, а шея каменеет к пятнице. И однажды она произносит фразу: «Я вообще не понимаю, что я чувствую. Ка…
🎧 Важное напоминание для тех, кто не успевает смотреть подкасты!
Друзья, мы знаем, как иногда сложно найти время на видео: дела, учеба, работа... Нам грустно, когда вы пропускаете выпуски – там столько всего интересного! Поэтому напоминаем:
Подкасты Symposium Wellness доступны в аудиоформате на удобных платформах!
Теперь вы можете:
– догнать текущий сезон, если не успеваете смотреть;
– переслушать важные моменты и…
Гормезис: как стресс делает нас сильнее и при чем тут сауна, голодание и красное вино
Разбираем с Людмилой Селедцовой – тренером по нутригенетике и терапевтом антиэйдж-медицины.
Фридрих Ницше говорил:
«Что меня не убивает, делает меня сильнее».
В биологии у этой фразы есть точное научное название – «гормезис».
Гормезис (Hormesis) – это фундаментальный биологический феномен, при котором малые дозы стрессоров оказыв…
Осенняя перестройка: почему спать легче не становится 🍁😴
Вы тоже заметили, что осенью спать хочется больше, а засыпается почему-то хуже? 😕 Утром встаешь тяжело даже после восьми часов, а вечером вроде бы и устал, но мозг все равно крутит свои мысли и отказывается выключаться.
Это не лень и не осенняя хандра. Это биология: день стал короче, и работа наших внутренних часов поменялась.
Разобрали с экспертом, что прои…
Может ли кишечнику стать плохо от нашей заботы ☹️
На поддержание здоровья кишечника обращают все больше, нет – бооооольше внимания. Детокс, пребиотики, пробиотики, отказ от глютена, молочки и прочий ЗОЖ. Но парадокс в том, что заботы все же бывает много и кишечник можно «перелечить» до серьезных проблем. Рассказываем, что может произойти от перебора полезностей.
▪️ Как можно больше овощей и отруби – частый совет по…
Смотрите полный выпуск подкаста про кишечник, микробиом и питание с гастроэнтерологом Ольгой Евдокимовой на 🌐 YouTube https://youtu.be/by2Q3_wkhcI.
Поддерживайте, оставляйте ваши комментарии и лайки ❤️
Showing the 12 most recent of 27 posts we hold for @SWmicrobiome. 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.
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.
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.
“Symposium Wellness” (@SWmicrobiome), 10,381 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/SWmicrobiome.
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.