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 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
36 measurements spanning 62 days, net +523. 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 27,098–28,439 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
8 Oct 2026, 15:15
27,776
-45
4 Oct 2026, 02:41
27,821
-75
25 Sept 2026, 08:56
27,896
-78
18 Sept 2026, 19:20
27,974
-33
16 Sept 2026, 09:39
28,007
-11
14 Sept 2026, 13:01
28,018
-21
13 Sept 2026, 02:21
28,039
-18
11 Sept 2026, 04:21
28,057
-28
8 Sept 2026, 09:17
28,085
-48
5 Sept 2026, 01:59
28,133
-31
3 Sept 2026, 06:25
28,164
-27
2 Sept 2026, 04:01
28,191
-15
1 Sept 2026, 01:08
28,206
-8
31 Aug 2026, 03:39
28,214
-6
30 Aug 2026, 05:49
28,220
-9
29 Aug 2026, 07:02
28,229
-18
28 Aug 2026, 08:47
28,247
-14
27 Aug 2026, 11:27
28,261
-9
26 Aug 2026, 12:12
28,270
-14
25 Aug 2026, 13:32
28,284
first reading
Engagement
89 posts held, back to 30 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 102 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.01%
avg views ÷ 27,776 subscribers
Avg views / post
1,390
39 posts measured
Reaction rate
4.40%
reactions ÷ views · ER floor
Posts in window
41
of 89 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 12 October 2026
Posts held
89 (30 July 2026 – 12 October 2026)
Views total
54,253
Reactions total
2,388
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Oct 2026, 18:43 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
≈1,250
Videos
≈336
Links
≈1,460
Lifetime counters from Telegram’s own channel header, read 12 October 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
9m 48s
Average length
29s
Measured directly from 20 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
5,716 reactions across 86 posts, in 22 distinct kinds. The most used accounts for 54.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,126
54.7%
🔥
1,346
23.5%
🎉
196
3.43%
❤🔥
194
3.39%
😍
189
3.31%
👍
179
3.13%
💯
123
2.15%
🦄
92
1.61%
🤩
76
1.33%
🤣
41
0.717%
🍾
37
0.647%
👏
30
0.525%
💔
20
0.35%
😱
19
0.332%
😁
13
0.227%
✍
8
0.14%
👀
7
0.122%
😢
7
0.122%
🤯
6
0.105%
⚡
5
0.087%
2 further kinds
2
0.035%
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 86 of the 89 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 5,716 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 89 most recent posts we hold, published 30 July 2026 to 12 October 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
2
across the posts below
Posts paid on
2
of 86 we hold a reading for · 2%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @pilates_flow. 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 89 most recent posts we hold for this entry, published 30 July 2026 to 12 October 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.
Скованность в верхней части спины знакома практически каждому человеку...
Раньше в кругах массажистов это называлось «спина бухгалтера», сейчас это смело можно назвать «современной осанкой» 😭
Одни сидят за компьютером в скрюченном положении с утра до ночи, другие сидят за учебниками, третьи — кормящие мамочки, у которых катастрофически не хватает сил и времени на гимнастику.
Кроме того, что из-за скованности в вер…
«Я влюбился в твои икры и голени...»
Эту фразу я слышала от своего мужа постоянно. Представляете, не глаза, не улыбка — именно икры и голени 😄
Сначала я отнеслась к этому несколько недоверчиво, потому что с детства считала, что ноги у меня тонкие, как спички и вообще немножко кривоваты, а потом, конечно, глаза у меня открылись 😂
Не буду скромничать — генетика своё дала. Но, честно скажу, ту самую точёную линию, ре…
Сегодня утром помогала девушке занести коляску на этаж. Почему-то была уверена, что коляска лёгкая, и совсем не рассчитала силы, плюс взяла ее неудобно и прострелило мне КПС (крестцово-подвздошное сочленение) прям очень хорошо 😑
Теперь ближайшие пару дней мне нужно максимально обездвижиться, чтобы скорее прошла боль.
Хорошие новости тоже есть: вместо досады я чувствую благодарность самой себе — за то, что сделала в…
✨ Ролл снимет напряжение с поясницы всего за 5 минут.
Если чувствуете, что нижняя часть спины нуждается в экспресс-помощи, сделайте зарядку «Расслабление поясницы» 👉🏼 https://clck.ru/3WMU9L
Напоминаю, что при регистрации на платформе открывается бесплатный пробный доступ ко всем зарядкам.
ЗАРЕГИСТРИРОВАТЬСЯ
Ставьте ❤️ посту и рассказывайте в комментариях, какими зарядками порадовали себя сегодня 😉
Я очень часто слышу претензии в свой адрес относительно балетного детства. И осанка у меня хорошая только благодаря балету, и стройная я из-за балета и еще очень-очень много всего.
Как балетное детство на самом деле повлияло на мое пищевое поведение, рассказала в карусели.
Долгие годы еда была для меня сплошной тревогой — диеты, запреты, чувство вины за каждый приём пищи. А сейчас я наконец слежу за питанием спокой…
Кстати, о работе в офисе…
На платформе есть отдельный раздел «Перезагрузка на работе» 👉🏼 https://clck.ru/3WJhFL
Там зарядки, которые я очень рекомендую делать в течение дня, чтобы не заклеиться от многочасового сидения.
Есть классы для шеи, грудного отдела, нижней части тела и запястий.
Когда готовила пост, Т9 исправил «перезагрузку» на «перегрузку» 😂😂😂
Смех смехом, но сидеть 8 часов это реально перегруз 😥
✔️ Первый шаг к здоровью спины — возвращение подвижность позвоночнику.
И поможет в этом 5-минутная зарядка «Пробуждение суриката» 👉🏼 https://clck.ru/3WJh6Z
В этом комплексе мы выполняем мобилизирующие пилатес упражнения, в которых работаем во всех плоскостях. Благодаря этому спина оживает за 5 минут.
Комплекс идеально подходит для новичков.
А еще его можно делать на рабочем месте, сев на стул.
Напоминаю, что при…
В Pilates Flow продолжается осенний сезон, в котором есть все для достижения ваших целей.
Абсолютно нормально, что осенью хочется больше лежать, меньше двигаться и радовать себя более калорийной едой, чем летом...
Но важно понимать, что без регулярного движения и сбалансированного рациона мы не только рискуем к весне обрасти лишним весом, но и усугубить проблемы со спиной и суставами.
✅ Именно поэтому осенью особе…
Именно так сказала швея, когда мама привела меня шить костюм на 1 сентября: «Ой, сама худенькая, ножки худенькие, а брюхо-то как вываливается».
Тогда я была маленькая + культ плоского живота еще не наступил, поэтому меня не особо волновала эта проблема. Лишь сильно позже я поняла, что проблема вообще не в животе. Просто у меня гиперлордоз, который балет только усугубил.
С 10 до 18 лет я училась в хореографическом у…
❤52🔥7👍5🎉2💯1
Showing the 12 most recent of 89 posts we hold for @pilates_flow. 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.
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.
😍 Голосуем за лучшую зарядку-прожарку летнего сезона! Какая понравилась больше всего?
Осанка пантеры19%
Бедра лани42%
Пресс лани27%
Сила ног и баланс — 229%
Практикуем планки18%
Отвечу в комментариях0%
Где все эти зарядки?15%
The shares total 150%, 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 89 most recent posts we hold, published 30 July 2026 to 12 October 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
MyGreenDecor| Комнатные Растения @mygreendecor · 2,890#76
Read from Telegram’s recommendation API, most recently 10 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Соня Гельд. Просто. Элегантно. Со вкусом @soniageld · 41,239 Telegram ranks this channel #16 of 56 here — alongside 55 others — read 29 August 2026
🧠 ФИТНЕС С УМОМ•BULLET.FIT @bulletfitness · 45,610 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 27 August 2026
Стань краше с Орловой Дашей - Даша Орлова @vasha_orlovadasha · 38,377 Telegram ranks this channel #23 of 91 here — alongside 90 others — read 31 August 2026
Личный тренер в вашем телефоне @flex_mybody · 112,649 Telegram ranks this channel #41 of 87 here — alongside 86 others — read 14 August 2026
Ольга Мелякова / Умный фитнес и омоложение @movemel · 20,542 Telegram ranks this channel #73 of 88 here — alongside 87 others — read 26 September 2026
Nice&Easy / Нутрициолог Дарья Савельева @perekusovnet · 39,404 Telegram ranks this channel #75 of 93 here — alongside 92 others — read 30 August 2026
This channel appears in 6 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 8 October 2026 — this
entry's latest reading, not the date you are reading this.
“Pilates Flow — Светлана Грин” (@pilates_flow), 27,776 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/pilates_flow.
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.