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 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 why it has no browse page of its own yet.
Growth
13 measurements spanning 42 days, net -51. 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 7,646–7,713 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 18:01
7,654
-7
13 Sept 2026, 21:18
7,661
-8
5 Sept 2026, 08:57
7,669
-5
1 Sept 2026, 08:44
7,674
-8
29 Aug 2026, 01:28
7,682
+9
26 Aug 2026, 00:24
7,673
-5
23 Aug 2026, 02:45
7,678
-3
19 Aug 2026, 12:05
7,681
-2
16 Aug 2026, 16:28
7,683
-5
13 Aug 2026, 03:16
7,688
-8
10 Aug 2026, 00:30
7,696
-4
7 Aug 2026, 08:14
7,700
-5
6 Aug 2026, 08:49
7,705
first reading
Engagement
30 posts held, back to 31 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.3%
avg views ÷ 7,654 subscribers
Avg views / post
867
8 posts measured
Reaction rate
8.89%
reactions ÷ views · ER floor
Posts in window
8
of 30 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 28 August 2026
Posts held
30 (31 July 2026 – 28 August 2026)
Views total
6,933
Reactions total
616
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 21:04 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
11m 13s
Average length
48s
Measured directly from 14 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
2,394 reactions across 29 posts, in 8 distinct kinds. The most used accounts for 59.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,429
59.7%
🔥
391
16.3%
❤🔥
209
8.73%
🤣
154
6.43%
👍
130
5.43%
😍
54
2.26%
🥰
24
1.00%
🤩
3
0.125%
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 29 of the 30 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 2,394 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 31 July 2026 to 28 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.
Спонсор следующего силового цикла - мой муж🤣
Сейчас я активно занимаюсь его реабилитацией ❤️
И наш следующий силовой цикл будет посвящен именно коленям! Здоровые колени нужны всем и всегда!
И конечно мы не забудем все остальные группы мышц 😉
Будьте сильными💪
На тренировки со мной в группе можно попасть уже сейчас!
С понедельника стартуем!
Сейчас у меня 2 группы:
⭐️Общая группа по физ подготовке
⭐️Группа по силовым для людей с болью в спине/коленях (в группе работает со мной врач ЛФК)
Подробнее о них тут https://t.me/yulia_yogatherapy/4911
В группе я прописываю тренировочную программу на 4-5 недель с занятиями два раза в неделю, снимаю подробные видео с техникой выполн…
У мужа прооперирована одна нога. Поэтому сегодня мы будем тренировать другую.
И нет, не только потому, что здоровую ногу тоже неплохо сохранить сильной.
❌Есть довольно интересный эффект, который называется cross-education — перекрёстный перенос силы.
Если мы регулярно тренируем одну конечность, изменения происходят не только в работающих мышцах, но и в нервной системе.
Мозг учится эффективнее управлять движением,…
Ранняя реабилитация СРАЗУ после операции
(часть 2 из 3)
Большое заблуждение думать, что после операции нужно просто лечь и ничего не делать до полного восстановления.
Если какую-то часть тела временно нельзя нагружать, это совершенно не означает, что нужно обездвижить всё остальное.
После операции муж гораздо больше времени проводит лёжа и сидя, чем обычно.
Поэтому помимо упражнений непосредственно для реабилитаци…
Не устану пропагандировать силовые тренировки!
Наше тело создано для разного движения!
В обычной жизни мы гуляем, играем с детьми, убирается по дому - это движение. Но это не реализует всех функций тела!
Если мы не используем какую то часть тела, то организм не будет вкладывать в неё ресурсы
Если в вашей жизни недостаточно кардио нагрузки, прогулок быстрым шагом, плавание, бега, велосипеда - то сердце будет с труд…
Реабилитацию нужно начинать как можно раньше!
Стасу прооперировали мениск, вчера сняли дренаж.
Причина - плохая генетика и разрыв мениска.
Если бы не было регулярных тренировок, было бы хуже.
Были показания к тому чтобы сохранить мениск, поэтому на мениск наложили два шва. В долгой перспективе для колена - это лучше, чем удалять часть мениска.
Но в плане реабилитации это сложнее, нужно больше времени на восстановлен…
Я уже как-то начинала серию постов про реабилитацию колена. Вот думаю, стоит ли опять начать, но сделать подробно - от операции до приседаний со штангой?
Сейчас идёт полным ходом мой
БЛЬШОЙ КУРС ПО ХАТХА ЙОГЕ
для начинающих
Мне кажется, не все участницы и участника курса в общем чате, поэтому напишу ещё тут!
На следующей неделе в четверг и воскресенье я проведу два урока по йоге для начинающих для участниц курса!
А если вы не в общем чате, то проверьте пожалуйста свои письма на почте, там есть ссылка на чат telegram и добавьтесь пожалуйста в чат!
Там я выкладываю р…
На осенний Йога Кемпа 18-26 октября осталось
💗 💗💗💗💗💗
Вся информация тут
❤33
Showing the 12 most recent of 30 posts we hold for @yulia_yogatherapy. 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 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
MarysStories @Marys_stories · 31,657 Telegram ranks this channel #9 of 92 here — alongside 91 others — read 5 September 2026
Доктор Галеева @doctor_galeeva · 28,614 Telegram ranks this channel #14 of 89 here — alongside 88 others — read 9 September 2026
Страшная химия @chemistrybyolga · 32,845 Telegram ranks this channel #19 of 91 here — alongside 90 others — read 4 September 2026
АЛЕКСАНДРА ФРАНЦ про ХИМИЮ @chemistry_frants · 45,307 Telegram ranks this channel #32 of 80 here — alongside 79 others — read 27 August 2026
Dr.Ivashkov @drivashkov · 34,458 Telegram ranks this channel #39 of 89 here — alongside 88 others — read 6 September 2026
Доктор Гребешкова @doctor_grebeshkova · 34,452 Telegram ranks this channel #41 of 83 here — alongside 82 others — read 3 September 2026
Маша, давай! @masha_davay · 54,844 Telegram ranks this channel #42 of 81 here — alongside 80 others — read 23 August 2026
Шура-док @schura_doc · 25,537 Telegram ranks this channel #47 of 94 here — alongside 93 others — read 18 September 2026
Дерматология Быканова @dr_bykanov · 62,459 Telegram ranks this channel #59 of 97 here — alongside 96 others — read 21 August 2026
ДОКТОР ХАН @doctorkhanstanislav · 56,920 Telegram ranks this channel #62 of 97 here — alongside 96 others — read 23 August 2026
ImmunoBee @immunobee1 · 104,417 Telegram ranks this channel #71 of 95 here — alongside 94 others — read 16 August 2026
Бородатый не пробовал | доктор Бурлаков @doc_burlakov · 34,435 Telegram ranks this channel #78 of 94 here — alongside 93 others — read 3 September 2026
Doctor_marusenyka @sovetdaymotiv · 23,916 Telegram ranks this channel #80 of 97 here — alongside 96 others — read 17 September 2026
Доктор Сычев @dr_sychev · 49,159 Telegram ranks this channel #80 of 94 here — alongside 93 others — read 26 August 2026
Дерматоонколог Бейнусов @dmitry_beinusov · 31,489 Telegram ranks this channel #87 of 95 here — alongside 94 others — read 6 September 2026
Василиса Бутусова @stillvasilisa · 24,637 Telegram ranks this channel #88 of 95 here — alongside 94 others — read 16 September 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Yulia.yogatherapy | Йога и тренировки” (@yulia_yogatherapy), 7,654 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/yulia_yogatherapy.
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.