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 24 September 2026 and assigned it the closest of 31 fixed categories, at 47% 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 56 days, net -10. 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 187–200 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
2 Oct 2026, 18:40
188
-2
9 Sept 2026, 11:55
190
-3
31 Aug 2026, 19:05
193
-2
23 Aug 2026, 21:44
195
-3
8 Aug 2026, 11:34
198
no change
7 Aug 2026, 20:22
198
first reading
Engagement
14 posts held, back to 9 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 14 posts for this entry, the most recent from 26 February 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,055 reactions across 14 posts, in 17 distinct kinds. The most used accounts for 32.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
347
32.9%
👍
225
21.3%
🙏
181
17.2%
🥰
95
9.00%
🕊
44
4.17%
❤🔥
35
3.32%
🤩
33
3.13%
💯
29
2.75%
🤗
18
1.71%
🦄
12
1.14%
😍
11
1.04%
🐳
9
0.853%
🤔
8
0.758%
🤓
3
0.284%
☃
2
0.19%
🍓
2
0.19%
🤯
1
0.095%
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 14 of the 14 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 1,055 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 9 December 2025 to 26 February 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
20
across the posts below
Posts paid on
4
of 14 we hold a reading for · 29%
Most on one post
5
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bazy_zdorovie. 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 14 most recent posts we hold for this entry, published 9 December 2025 to 26 February 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.
Ну и ещё немного пользы 😊
В ТГ очень долго грузит аудио (так и не смогла загрузить 8 минут), поэтому выложила подкаст про талисманчики на своём канале в МАХ.
https://max.ru/c/-70927409198489/AZyaMJEYLtU
Кому интересно - переходите послушать 😎
Подумываю всякие такие штуки заливать туда, т.к. в ВК и тут с аудио пока беда 😪
Всех обняла 🌞
Всем привет)
Что-то все заладили про блокировки ТГ и т.д.
Поэтому создала канал в МАХ (ага - пока дикость, но все же).
Это ссылка:
https://max.ru/join/zHhzYqdLvtncwxMywORgugjIeUXRYTwzV1yrIvvHHx8
Там пока пусто.
Также есть ВК сообщество, которое веду достаточно давно.
Его вы можете найти тут:
https://vk.ru/bazy_zdorovie
Там, кстати, сегодня уже выложила небольшое видео про здоровье в 2026 году. Посмотреть можно п…
Всем привет!
В сегодняшнем посте хочу затронуть тему здоровья и некоторых взаимодействий с картой рождения и пришедшего года.
Итак, открываем карту рождения и смотрим, есть ли там в любом из столпов:
- НС Вода Ян 壬. Если есть, то в 2026 году обратите внимание на почки и руки. Будьте более спокойны в периоды, когда все как будто бы хотят вывести вас из себя.
- ЗВ Тигр 寅: желчный пузырь, голова, воспаления, холецистит,…
Всем привет!
В ближайшее время буду выкладывать посты о здоровье 💊
Сегодня я хочу вам немного рассказать о Символической Звезде, называемой в Бацзы Звездой Болезни.
Приходит эта энергия к тем, кто родился в год Козы 未.
Эта СЗ, которая указывает на то, что в обозначенный период человеку проще всего заболеть.
Поэтому всем Козочкам по году рождения непрошенный совет: берегите себя пуще прежнего! 🤗
Обратите внимание на…
Всем привет!
Входить в рабочий режим нужно очень аккуратно) Что в общем-то я и делаю 😆
Предлагаю до конца недели несколько активаций и уборок.
Активации:
15.01: Юг в час Змеи (9-11) свеча - 3 Генерала (для свадьбы, путешествий, переездов, поиска богатства, новых проектов и т.д.)
16.01: СЗ в час Дракона (7-9) вентилятор - для денег
Восток в час Свиньи (21-23) фонтан - З Генерала (для свадьбы, путешествий, переездов…
Showing the 12 most recent of 14 posts we hold for @bazy_zdorovie. 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.
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 2 October 2026 — this
entry's latest reading, not the date you are reading this.
“Бацзы - жизнь и здоровье” (@bazy_zdorovie), 188 subscribers as measured 2 October 2026. Telegram Register, tgregister.com/channel/bazy_zdorovie.
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.