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 70% 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 the other topics.
Growth
26 measurements spanning 98 days, net +155. 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 8,177–8,393 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
12 Nov 2026, 22:46
8,368
+14
5 Nov 2026, 19:11
8,354
+8
2 Nov 2026, 11:08
8,346
+12
30 Oct 2026, 19:36
8,334
-6
27 Oct 2026, 22:16
8,340
+10
24 Oct 2026, 18:09
8,330
-4
21 Oct 2026, 13:00
8,334
+18
18 Oct 2026, 11:05
8,316
-2
15 Oct 2026, 07:55
8,318
+6
5 Oct 2026, 17:39
8,312
-8
28 Sept 2026, 05:17
8,320
+21
18 Sept 2026, 17:40
8,299
+36
14 Sept 2026, 07:36
8,263
+9
10 Sept 2026, 07:55
8,254
-3
5 Sept 2026, 06:19
8,257
+7
1 Sept 2026, 00:47
8,250
+12
29 Aug 2026, 01:17
8,238
+18
25 Aug 2026, 18:11
8,220
+13
22 Aug 2026, 22:08
8,207
+5
19 Aug 2026, 04:24
8,202
first reading
Engagement
90 posts held, back to 15 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
22.4%
avg views ÷ 8,368 subscribers
Avg views / post
1,880
29 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
30
of 90 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 14 November 2026
Posts held
90 (15 July 2026 – 14 November 2026)
Views total
54,410
Reactions total
777
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 14:06 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
≈1,530
Videos
≈240
Links
≈745
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
7m 15s
Average length
1m 27s
Measured directly from 5 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
1,839 reactions across 82 posts, in 10 distinct kinds. The most used accounts for 26.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
483
26.3%
custom 5282991940822910181
309
16.8%
custom 5287552130939381357
299
16.3%
custom 5429390380757969316
210
11.4%
custom 5454024578001025865
204
11.1%
custom 5242735500120304335
98
5.33%
🍾
82
4.46%
💔
71
3.86%
custom 5307495098613773492
54
2.94%
😁
29
1.58%
Custom emoji. 6 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 82 of the 90 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 1,839 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 90 most recent posts we hold, published 15 July 2026 to 14 November 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
3
across the posts below
Posts paid on
3
of 84 we hold a reading for · 4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hotyoga36. 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 90 most recent posts we hold for this entry, published 15 July 2026 to 14 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 7 of 30 posts held from the last 30 days (23.3%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Кто сказал, что дыхание — это просто вдох и выдох?
Сегодня вместе с Алексеем Владовским разбирались, на что оно действительно способно. Двигались, экспериментировали с ритмом и глубиной дыхания, ловили напряжение в теле и учились замечать то, что обычно остаётся без внимания.
Оказывается, даже в привычном вдохе можно найти кое-что новое!
ПРАНА-НААД. ПЕРВЫЙ ДЕНЬ — ЕСТЬ! ❤️🔥 А завтра добавим звука и продолжим иссле…
Добрый вечер, друзья!
⚡️Замена в студии на Рубинштейна:
В воскресение 15 ноября в 17:00 вместо Андрея Болтяна HATHA проведет Арина Соболевская.
Будьте внимательны и до встречи на ковриках🙏🏻
Доброе утро, друзья!
⚡️Срочная замена в студии на Рубинштейна:
Сегодня 13 ноября в 17:00 вместо INFERNO PILATES с Натальей Ляпиной пройдет BIKRAM SILENT с Надей Кучаевой.
Будьте внимательны и до встречи на ковриках🙏
Важная информация!
Завтра, 13 ноября, в студии на Петроградской пройдет только практика по аштанге в 8:00.
В течении дня будут проводится технические работы до 19:00, поэтому класс в 19:30 состоится.
Будьте внимательны, следите за новостями ✨
Аштанга без лишних сложностей!🤩
В аштанге у всего есть своя логика. Каждая асана, каждый вдох, каждое направление взгляда — часть единой системы. Но чтобы её понять, необязательно практиковать годами. Достаточно начать с правильного знакомства!
21 ноября Андрей Владимиров приглашает на семинар «Аштанга-йога для начинающих».
Андрей практикует йогу уже 8 лет, из которых 6 посвятил аштанге. Именно в ней он нашёл идеа…
⚡️Друзья, доброе утро! Замена в студии на Василеостровской сегодня, 11 октября:
— в 14:00 вместо INSIDE FLOW с Евгенией Пылиной пройдёт HATHA с Ильёй Прошкиным
Будьте внимательны и до встречи на ковриках 🙏🏻
Без нагрева. Без горячего душа. Но точно не без аштанги! ❤️🔥
11 и 12 ноября утренние практики состоятся. Зал нагревать не будем, поэтому всё тепло добываем самостоятельно. После занятия — только бодрящий холодный душ, если решитесь!
Встречаемся утром по привычному расписанию. Остальные классы в эти дни отменены.
Аштангисты, ждём вас!
Важная информация!
11 и 12 ноября все практики в студии на Петроградской по технической причине отменены.
Завтра, 10 ноября, после 17:00, классы пройдут без нагрева и горячей воды в душевых, согреваться будем энергией друг друга✨
Учитывайте это при планировании занятий. В остальных студиях продолжаем встречаться по расписанию.
Вчера в HOT YOGA 36 было жарко. И дело не только в наших +36 ❤️🔥
Мы устроили SLOW RAVE — перформанс, подобных которому в нашей студии ещё не было. Много живой музыки, танцев и абсолютной свободы движения.
Никаких заученных связок и правил (в рамках приличного…) — только тело, которое ловит ритм, энергия, которая требует выхода, и полное право быть собой!
Спасибо Алевтине Грунтовской и Кириллу Нифонтову за этот не…
Доброго воскресенья, друзья!
Ловите свежее расписание на новую неделю и несколько приятных поводов заглянуть к нам 🙏🏻
✨ Дарья Монахова приготовила для нас редкий подарок — класс Дживамукти в 8:00 в понедельник на Рубинштейна. Отличный повод начать неделю с чего-то особенного❤️
✨ Лера Буры в понедельник в 19:30 порадует Петроградскую мощной Виньясой!
✨ Анико возвращается с её Juicy Vinyasa! Самое время снова встрет…
Showing the 12 most recent of 90 posts we hold for @hotyoga36. 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.
Posts edited after publishing
@hotyoga36 edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
25 August 2026
Most recent edit
25 August 2026
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.
Mentions
Named by 6 registered channels — 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.
Нестыдные квартиры | Петербург @bestflats · 51,458 Telegram ranks this channel #26 of 81 here — alongside 80 others — read 25 August 2026
Схожу, пожалуй @shozhu · 36,829 Telegram ranks this channel #43 of 91 here — alongside 90 others — read 1 September 2026
Уютное гнездышко|СПБ|поиск жилья и соседей @ugnest_spb · 19,716 Telegram ranks this channel #54 of 76 here — alongside 75 others — read 2 October 2026
Right People | Нетворкинг СПб @rightpeopleunion · 19,503 Telegram ranks this channel #59 of 80 here — alongside 79 others — read 2 October 2026
This channel appears in 4 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“hotyoga36” (@hotyoga36), 8,368 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/hotyoga36.
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.