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 23 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
6 measurements spanning 30 days, net -2. 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 271–274 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Sept 2026, 02:18
271
-1
29 Aug 2026, 18:52
272
-1
23 Aug 2026, 15:03
273
-1
16 Aug 2026, 14:58
274
+1
8 Aug 2026, 08:46
273
no change
7 Aug 2026, 16:13
273
first reading
Engagement
9 posts held, back to 29 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 9 posts for this entry, the most recent from 18 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
38s
Average length
38s
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
60 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 71.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
43
71.7%
🔥
10
16.7%
👍
7
11.7%
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 8 of the 9 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 29 December 2025 to 18 May 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.
Лучше меньше? Да, лучше
*У нас тут новая еженедельная рубрика #рыбный_день
Мелкая рыба в консервах (которая содержит крошечные размягченные косточки) содержит в среднем в 10-20 раз больше кальция, чем популярные виды рыбы:
🥫 Сардины (консервированные, вместе с косточками): ~382 мг
🐟 Форель (филе): ~43 мг
🐠 Дорада (филе): ~16 мг
🍣 Лосось (филе): ~12 мг
В 100 г сардин - уже почти половина суточной нормы кальция (+в…
Карта ожирения
Доля людей с ИМТ более 30.
Удивило, как мало людей с ожирением во Вьетнаме.
*Посчитать свой ИМТ, а заодно и все нормы КБЖУ и физ.активность можно в "Зое" (нормы отражаются в вашем профиле) или в нашем калькуляторе ккал.
#инфографика_по_пятницам
🧠 Свежее про оливковое масло
В журнале Microbiome опубликованы результаты 2-летнего наблюдения за 656 участниками (55–75 лет) с метаболическим синдромом. Ученые выяснили, как разные виды оливкового масла влияют на когнитивные способности и микробиом кишечника.
Выводы:
✅ У людей, употреблявших оливковое масло Virgin/Extra Virgin, за 2 года улучшились показатели внимания и общей когнитивной функции. Каждые дополнит…
Установила датчик глюкозы, 2 недели он будет каждые 5 мин проверять сахар в межклеточной жидкости и присылать данные на телефон.
Такие штуки - спасение для диабетиков, здоровым людям такое не надо, но я любопытная. Буду смотреть, как быстро поднимается и падает сахар на разные комбинации пищевые, как реагирует на разные нагрузки и так далее.
Надеюсь, никомуне нужно объяснять, чем плохи резкие скачки сахара и как ст…
🤷♂️ Можно ли разжиреть за 3 дня обжорства? Спойлер: нет
Этот скриншот опубликовал в комментариях наш читатель. Главный вопрос здесь: как это отражается на жировых отложениях?
Известно, что в среднем накопленный профицит 7000-8000 ккал = +1кг жировой массы. Но если съесть это за день?
🧑⚕️Исследование Sagayama et al. (2014):
10 здоровых мужчин (не полных, средний ИМТ 21.6) 3 дня подряд ели +1500 ккал выше нормы. …
Заливной пирог с капустой
•300 мл кефира комнатной температуры
•3 яйца
•200 гр муки
•соль
•0,5 ч л соды
•1 ст.л растительного масла
• капуста около 450 г
• морковь 1 шт
• лук 1 шт
• соль
1. Капусту на мелко нашинковать. Лук мелко нарезать, морковь натереть.
2. Обжарить лук с морковью
3. Добить капусту и томить на небольшом огне
4. Посолить, поперчить по вкусу.
5. Пока тушится капуста, приготовьте тесто: в мис…
❤6🔥4
Showing the 9 most recent of 9 posts we hold for @s_aleshintseva. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
0
vacant every time we have ever looked
@s_aleshintseva 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.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@zozhnik named in 3 posts, 9 August 2026 – 9 August 2026 · confirmed gone 7 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“ЗОЖ для гедонистов” (@s_aleshintseva), 271 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/s_aleshintseva.
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.