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 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
45 measurements spanning 78 days, net -44. 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 24,629–24,772 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)
Subscribers
Change
24 Oct 2026, 01:59
24,705
-6
23 Oct 2026, 01:47
24,711
+9
21 Oct 2026, 01:21
24,702
-1
19 Oct 2026, 21:31
24,703
-4
18 Oct 2026, 23:28
24,707
-1
18 Oct 2026, 02:38
24,708
-1
17 Oct 2026, 03:59
24,709
-4
16 Oct 2026, 07:11
24,713
-1
15 Oct 2026, 09:41
24,714
-1
14 Oct 2026, 09:36
24,715
-3
12 Oct 2026, 21:26
24,718
+6
8 Oct 2026, 11:57
24,712
+30
3 Oct 2026, 23:37
24,682
+37
25 Sept 2026, 07:19
24,645
-12
17 Sept 2026, 11:01
24,657
-13
15 Sept 2026, 13:57
24,670
-13
13 Sept 2026, 20:56
24,683
-4
12 Sept 2026, 05:41
24,687
-7
10 Sept 2026, 00:41
24,694
-14
6 Sept 2026, 18:01
24,708
first reading
Engagement
11 posts held, back to 17 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 110 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.1%
avg views ÷ 24,705 subscribers
Avg views / post
3,490
1 post measured
Reaction rate
5.19%
reactions ÷ views · ER floor
Posts in window
1
of 11 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 27 September 2026
Posts held
11 (17 May 2026 – 27 September 2026)
Views total
3,490
Reactions total
181
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 22:23 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
Photos
339
Videos
641
Links
258
Lifetime counters from Telegram’s own channel header, read 24 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 23s
Average length
23s
Measured directly from 9 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
774 reactions across 11 posts, in 8 distinct kinds. The most used accounts for 53.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
411
53.1%
🔥
270
34.9%
😁
66
8.53%
🥰
11
1.42%
👏
8
1.03%
🤯
4
0.517%
😱
3
0.388%
🤩
1
0.129%
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 11 of the 11 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 774 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 17 May 2026 to 27 September 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.
Забирайте тренировку для таза и тазового дна на каждый день 🙌
❗ВАЖНО ТЕМ, У КОГО ЕСТЬ:
Диастаз до 3-4 см,
Опущение органов,
Выпирающий живот,
Дряблые бедра,
Низкое либидо,
Боли в критические дни и при половом акте,
Частые запоры,
Обостоения геморроя.
Правильная техника - это
расслабление.
Сядьте удобно, стопы на полу, выдохните и НИЧЕГО НЕ ДАВИТЕ. Моча должна вытекать сама, под собственным весом. Если не течёт - значит, ещё не время, а не потому что вы плохо старались.
И главное:
Тазовое дно - это единственные мышцы, которые мы не качаем в зале. Им нужны отдельные тренировки.
Всего 30 минут в день и вы:
✅ перестанете бегать в туалет по ночам,
✅ забудете про про…
Некоторые моменты обсуждать как-будто не принято:
🔹Что невозможно прыгать на батутах без подкладки,
🔹Что возникают неловкие моменты при половом акте, когда выходит воздух с характерным звуком,
🔹Что периодически обостряется геморрой, что существенно портит качество жизни.
Так вот, я не предлагаю вам сейчас обсуждать эти моменты публично, если это некомфортно)
Я предлагаю ЗАБЫТЬ обо всем этом!
А помогут в этом трен…
90% людей не знают об этой связи👇
1️⃣ Как тазовое дно влияет на ЛИБИДО:
⛔ Напряженный таз = зажатые сосуды и нервы. Плохое дыхание и вялый живот снижают приток крови к органам малого таза. Возбуждение начинается с кровенаполнения.
✅ Результат после тренировок: вы учитесь расслаблять и сокращать мышцы тазового дна, убираете зажимы, подключаете диафрагмальное дыхание. Кровь бежит свободно → чувствительность и желание…
👇Условия, без которых эффективной работы с мышцами тазового дна не будет:
1. Без исключения постоянного натуживания в туалете. Если вы привыкли тужиться при дефекации и при мочеиспускании - эффект от тренировок будет заметно снижаться!
2. Без координации с глубокими мышцами кора (поперечной мышцей живота). Изолированно "поджать" тазовое дно, не включив низ живота и не стабилизировав таз, почти невозможно. Работа то…
Впереди длинные каникулы, а значит можно смело приобщать детей к занятиям!
Лето - идеальное время для работы над осанкой☝️🧘♀️
Сохраняйте себе комплекс упражнений и занимайтесь по моим онлайн тренировкам от гиперлордоза вместе с детьми! Вы - отличный пример для них! ❤️
Дайте знать, если хотите больше подобных видео✍️
Замечали?😅
Конечно, это все юмор и так не у всех))
Но часто мы с вами, девочки, действительно уж больно заморачиваемся на том, что в действительности не так и важно и вовсе не заметно со стороны!
И пусть это видео будет маленьким напоминанием о люблю к себе и о принятии себя ❤️
Ведь именно с этого нечигабстя самые лучшие перемены!
15 мая состоялся наш отчётный концерт в @todeskorolev 💃
Делюсь с вами видео с выступления ❤️ (если что, я стою слева от стула, который в самом начале по центру)
Как вам?🤩🤩
Я нервничала перед началом, но уже немного меньше, чем в прошлом сезоне! Уже опыт, что сказать 😅
Ягодицы и таз - какая связь👇
Представьте, что таз и ТБС - это заржавевший шарнир. Если он не двигается, ягодицы просто спят.
Вот почему ваши тренировки не работают:
1. Напряжены сгибатели (передняя часть бедра). Они выключают ягодицы, как антагониста. Пока один тянет, другой не работает.
2. Таз зажат и вы не можете сделать нормальное разгибание. Вместо ягодиц нагрузку крадут поясница (отсюда боль в спине) и задняя…
❤33🔥17🤩1
Signed Софья Сафронова
Showing the 11 most recent of 11 posts we hold for @sonya_stretch99. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Sonya.stretch 💫” (@sonya_stretch99), 24,705 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/sonya_stretch99.
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.