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 12 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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
14 measurements spanning 40 days, net -73. 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 5,622–5,734 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 04:59
5,647
+12
12 Sept 2026, 06:16
5,635
-12
7 Sept 2026, 17:00
5,647
-18
2 Sept 2026, 15:47
5,665
-17
30 Aug 2026, 11:54
5,682
-9
27 Aug 2026, 06:03
5,691
+21
24 Aug 2026, 14:55
5,670
-27
20 Aug 2026, 12:36
5,697
-7
17 Aug 2026, 14:34
5,704
+5
14 Aug 2026, 07:35
5,699
-13
11 Aug 2026, 08:26
5,712
-9
8 Aug 2026, 03:24
5,721
+1
7 Aug 2026, 14:17
5,720
no change
7 Aug 2026, 14:05
5,720
first reading
Engagement
13 posts held, back to 23 July 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 7 pages 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 13 posts for this entry, the most recent from 11 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
3m 04s
Average length
1m 01s
Measured directly from 3 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
327 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 34.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5206425618966661528
113
34.6%
custom 5208591957521080493
62
19.0%
custom 5219788039613594609
59
18.0%
custom 5433940018139794932
37
11.3%
👍
35
10.7%
🙏
21
6.42%
Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 12 of the 13 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 327 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 23 July 2026 to 11 August 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.
ТОП 5 ПРАВИЛ ПРИ ГИПЕРЛОРДОЗЕ
Многие люди стали ошибочно думать, что при гиперлордозе что-то зажато и это просто нужно растянуть и немного где-то поднапрячь
Так называемый нижний перекрестный синдром
Но любое нарушение осанки требует комплексного подхода, всегда!
Мои правила:
1. Не бойтесь сгибаться. Это нужно вашей пояснице. Например, упражнение наклоны Джефферсона я даю всем людям с перепрогибом. И они просто к…
Едем сейчас за визой в Японию
Вообще, это был такой геморрой
У меня Саша занималась подачей и из нее высосали всю энергию тупо
Так как сейчас подача через посредника только (визовый центр) и там докапываются до мелочей
Это не нравится, то не нравится. И так кругами
В общем, надеюсь, что нам дали мульти на три года, но не знаю))
У меня там на фото лицо злое очень получилось, может и не дадут😂
Что покупает себе тренер-реабилитолог?
Топ спортивных покупок
1. Ветровка SHU. Очень легкая и нереально стильная. Идеально подходит к моим adidas Adizero
2. Nike metcon 10. Лучшие кроссовки для зала! Я вам о них уже рассказывал. Поддерживают стабильность стопы и в них много места для пальцев (широкий нос)
3. Бутылка SHU. Легкая и приятная на ощупь, а также, подходит к общему аутфиту 😁
4. Лонгслив under armour. У …
Ребят, я бы очень хотел послушать мнение с двух сторон
Те, кто одобряют такие упражнения
И те, кто считает, что такие упражнение могут сделать хуже
Пишите в комментариях 🤍
The shares total 103%, 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.
Помогают ли эти упражнения избавиться от боли в пояснице?
(Гиперэкстензия, разгибания лежа и становая)
Или суждения о том, что болит если болит спина, то её и нужно закачивать - миф?
Showing the 12 most recent of 13 posts we hold for @samsabadashfit. 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.
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.
The shares total 103%, 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 13 most recent posts we hold, published 23 July 2026 to 11 August 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.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“samsabadash” (@samsabadashfit), 5,647 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/samsabadashfit.
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.
