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 9 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 the other topics.
Growth
63 measurements spanning 93 days, net -69. 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 30,962–31,057 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
8 Nov 2026, 17:06
30,977
+4
7 Nov 2026, 12:17
30,973
-6
6 Nov 2026, 09:39
30,979
-5
5 Nov 2026, 12:39
30,984
-1
4 Nov 2026, 15:35
30,985
-2
3 Nov 2026, 13:48
30,987
-4
2 Nov 2026, 10:46
30,991
-1
1 Nov 2026, 11:18
30,992
+2
31 Oct 2026, 10:48
30,990
+1
30 Oct 2026, 10:46
30,989
-8
29 Oct 2026, 09:16
30,997
+3
28 Oct 2026, 10:54
30,994
-8
27 Oct 2026, 12:28
31,002
+3
26 Oct 2026, 13:56
30,999
-7
25 Oct 2026, 15:15
31,006
-7
24 Oct 2026, 14:18
31,013
-1
23 Oct 2026, 15:34
31,014
-4
22 Oct 2026, 14:37
31,018
+2
21 Oct 2026, 06:46
31,016
-9
20 Oct 2026, 06:06
31,025
first reading
Engagement
81 posts held, back to 17 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 162 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.3%
avg views ÷ 30,977 subscribers
Avg views / post
3,810
21 posts measured
Reaction rate
2.37%
reactions ÷ views · ER floor
Posts in window
21
of 81 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 6 November 2026
Posts held
81 (17 July 2026 – 6 November 2026)
Views total
80,020
Reactions total
1,895
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 23:02 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
871
Videos
738
Links
914
Lifetime counters from Telegram’s own channel header, read 8 November 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
3h 27m
Average length
9m 01s
Measured directly from 23 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
7,268 reactions across 79 posts, in 11 distinct kinds. The most used accounts for 57.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,172
57.4%
🔥
2,167
29.8%
👍
672
9.25%
🥰
130
1.79%
💯
45
0.619%
🙏
28
0.385%
⚡
16
0.22%
🤩
15
0.206%
👏
11
0.151%
🎉
10
0.138%
👌
2
0.028%
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 80 of the 81 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 7,268 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 81 most recent posts we hold, published 17 July 2026 to 6 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.
Recent posts
Telegram’s own ‘edited’ marker: 1 of 21 posts held from the last 30 days (4.76%) 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).
«Ольга, а если мне не нужен шпагат, а хочется просто перестать быть "деревянной" и убрать боль в спине?»
После анонса подписки на PROSTRETCHING я получила много сообщений в личку с похожим смыслом.
И я вас отлично понимаю! Далеко не всем нужен продольный или поперечный шпагат. Кому-то хочется элементарно легко вставать по утрам, свободно нагибаться, иметь ровную осанку и подтянутый живот без тяжелых гантелей.
Поэто…
🎥 Пресс можно тренировать не только скручиваниями лежа!
В новом видео на YouTube показываю 3 классных упражнения стоя с эластичной лентой, которые отлично укрепят мышцы кора, спины и рук.
💡 Этот комплекс — идеальная находка для тех, кому некомфортно или временно нельзя выполнять классические скручивания и упражнения на полу.
Что понадобится для тренировки:
Фитнес-лента (можно заменить обычными легинсами или к…
🎄 В этом году вы снова просили — и я это сделала!
Все, кто хотел развить гибкость тела, но постоянно упирался в нехватку времени и жесткие рамки поточных курсов... Это предложение для вас!
✨ Два легендарных курса PROSTRETCHING в одной подписке!
Теперь вы можете получить сразу 40 полноценных тренировок для достижения своих целей.
🗓 Главный бонус предновогоднего предложения:
Покупая курс сейчас, вы получаете …
Жить без боли в спине после сидячей работы и декрета — это не удача, а нормальное базовое состояние, к которому можно вернуться 🤍
Главное — давать телу мягкую, умную нагрузку, а не перегружать его. Если Дарья смогла забыть о боли, то получится и у вас!
The shares total 102%, 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.
Мое самое доброе утро 🥰🥹
Последние 2дня меня штормило.. была и слабость, и туман в голове, и раздражительность (смогла поругаться даже с тех. поддержкой банка 🤪) потом узнала, что была полная луна 😁 вот и дожили, называется..не только дождь предчувствуем, но и на «луну воем»
Муж увез нас с детьми загород.. а тут тишина, карельский лес и вкусный воздух .. не смотря на +4 за окном, это была самая прекрасная зарядка 🥹
Если вы привыкли подходить к тренировкам осознанно и хотите точно понимать, за счет чего ваше тело изменится за 2 месяца, ниже — сухие факты и биомеханика процесса.
Этот курс создан для тех, у кого нет времени на долгие поездки в фитнес-клуб, но есть четкая цель: убрать мышечные зажимы, вернуть подвижность суставам и выстроить плотный, подтянутый рельеф.
⚙️ Почему система работает? (Анатомия курса)
Обычный фитнес…
ОТВЕЧАЮ НА ВАШИ ВОПРОСЫ 😉
1. Можно ли убрать перекос тела и как с ним работать для наибольшего эффекта?
Убрать или значительно скорректировать перекос — можно. Однако подход зависит от природы этого перекоса:
• Функциональный перекос: Вызван паттернами движения, мышечным дисбалансом, привычками (ношение сумки на одном плече, закидывание ноги на ногу). Корректируется на 100%.
• Анатомический перекос: Вызван врожден…
💬 Вопрос — Ответ: разбираем ваши боли в теле
Каждый раз после ваших комментариев под постами я вижу, как часто повторяются одни и те же проблемы. Собрала самые популярные вопросы и коротко ответила на них с точки зрения биомеханики. Поехали! 👇
❓ Вопрос 1: «Почему плечи постоянно тянутся к ушам? Пытаюсь опустить их усилием, но начинает ныть под лопаткой»
• Ответ: Это классический признак перенапряжения верхней трапе…
Упражнение «Лягушка» — это идеальный микс растяжки и силовой. Оно одновременно развивает мобильность, силу и укрепляет мышцы тазового дна, что помогает животу стать плоским!
Бенефиты от упражнения «Лягушка»:
✔️ Мобильность ТБС — раскрывает тазобедренные суставы и снимает зажатость
✔️ Включение тазового дна — развивает нормальный тонус МТД, решая проблему выпирающего низа живота и деликатных женских проблем
✔️ Плоски…
❤69🔥18👍16
Showing the 12 most recent of 81 posts we hold for @stretch_Kutuzova. 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 recorded as deleted after publishing
We recorded 1 post on @stretch_Kutuzova as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
3 October 2026
Most recent seen missing
3 October 2026
Median time before seen missing
6 days
Seen missing in the last 30 days
0
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
The shares total 102%, 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.
Что из этого больше всего доставляет дискомфорт в течение дня? 👇🏼
⚡️ Ноющая боль или жжение между лопатками24%
🪨 Тяжесть и каменные плечи («тянутся к ушам»)35%
🥱 Быстрая усталость спины, даже если просто долго сижу/стою43%
😔 Не нравится эстетика: сутулость и округлая часть спины42%
🔋 Ничего не беспокоит, захожу просто вдохновиться10%
The shares total 154%, 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.
💨 Выглядит плоским только с утра до первого приема пищи34%
🧘🏼♀️ Качаю традиционными скручиваниями, но толку мало2%
😴 Мышцы вообще не включаются, не чувствую их14%
✨ У меня всё отлично, жду тренировку!11%
😩 Валик внизу живота, который никак не уходит57%
Свой вариант в комментариях1%
The shares total 119%, 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.
❌ «Совсем нет» — чувствую постоянные зажимы в шее, пояснице и общую скованность.34%
🧱 «Скорее нет» — гибкость пропала после перерыва в тренировках или долгой сидячей работы.30%
⚖️ «50 на 50» — верх тела гибкий (спина/плечи), а ноги и таз «деревянные» (или наоборот).23%
✅ «Да, чувствую себя хорошо» — легко двигаюсь, нет болей и чувства закрепощенности.17%
✨ «Да, моё тело суперпластичное» — чувствую абсолютную свободу в каждом движении!2%
The shares total 106%, 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 81 most recent posts we hold, published 17 July 2026 to 6 November 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.
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.
Read from Telegram’s recommendation API, most recently 6 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.
Марина Кострова @marina_kostrova · 86,217 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 18 August 2026
Татьяна Метельская | Фитнес-тренер в Telegram @tanya_yourfit · 57,074 Telegram ranks this channel #11 of 62 here — alongside 61 others — read 25 August 2026
Королевская осанка и лицо без отеков @healthy_osanka · 19,254 Telegram ranks this channel #14 of 84 here — alongside 83 others — read 1 October 2026
🧠 ФИТНЕС С УМОМ•BULLET.FIT @bulletfitness · 45,356 Telegram ranks this channel #16 of 93 here — alongside 92 others — read 27 August 2026
Растяжка с Мари @mari_stretching · 63,834 Telegram ranks this channel #16 of 74 here — alongside 73 others — read 21 August 2026
Личный тренер в вашем телефоне @flex_mybody · 111,522 Telegram ranks this channel #18 of 87 here — alongside 86 others — read 14 August 2026
Ольга Мелякова / Умный фитнес и омоложение @movemel · 20,411 Telegram ranks this channel #20 of 88 here — alongside 87 others — read 26 September 2026
Masha Blinova. Маша Блинова. Фитнес @mashablinovafit · 278,207 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 10 August 2026
Zarina del Mar/Про Тебя @WhatevaCircle · 114,267 Telegram ranks this channel #27 of 95 here — alongside 94 others — read 14 August 2026
Ольга Дробышева - здоровый фитнес @sensfitness · 24,939 Telegram ranks this channel #30 of 96 here — alongside 95 others — read 14 September 2026
К телу бережно | осанка | похудение | ПП рецепты @kurmanchuk_official · 23,526 Telegram ranks this channel #41 of 77 here — alongside 76 others — read 16 September 2026
Йога для начинающих YOGA work @yogawork · 47,716 Telegram ranks this channel #49 of 93 here — alongside 92 others — read 26 August 2026
Пенкин Егор - Здоровое будущее @fit_therapy · 79,721 Telegram ranks this channel #56 of 91 here — alongside 90 others — read 18 August 2026
Александр Семенов @trenersemenov · 22,693 Telegram ranks this channel #72 of 96 here — alongside 95 others — read 19 September 2026
This channel appears in 14 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 November 2026 — this
entry's latest reading, not the date you are reading this.
“РАСТЯЖКА С КУТУЗОВОЙ” (@stretch_Kutuzova), 30,977 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/stretch_Kutuzova.
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.