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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
26 measurements spanning 44 days, net +547. 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 9,691–10,418 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
19 Sept 2026, 16:00
10,322
-12
17 Sept 2026, 03:16
10,334
+116
15 Sept 2026, 00:59
10,218
+236
11 Sept 2026, 09:00
9,982
-4
6 Sept 2026, 10:20
9,986
-12
1 Sept 2026, 22:13
9,998
-7
1 Sept 2026, 00:08
10,005
+1
30 Aug 2026, 22:15
10,004
+3
30 Aug 2026, 01:06
10,001
-4
28 Aug 2026, 22:26
10,005
-2
27 Aug 2026, 20:35
10,007
+1
26 Aug 2026, 19:57
10,006
-4
25 Aug 2026, 18:45
10,010
-5
24 Aug 2026, 15:15
10,015
-5
22 Aug 2026, 21:16
10,020
-4
21 Aug 2026, 09:36
10,024
-3
20 Aug 2026, 06:54
10,027
-10
19 Aug 2026, 07:52
10,037
+1
18 Aug 2026, 07:24
10,036
-2
17 Aug 2026, 09:26
10,038
first reading
Engagement
47 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 37 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.41%
avg views ÷ 10,322 subscribers
Avg views / post
662
2 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
2
of 47 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
47 (30 July 2026 – 28 August 2026)
Views total
1,324
Reactions total
20
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 04:21 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
15m 30s
Average length
33s
Measured directly from 28 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
1,515 reactions across 47 posts, in 14 distinct kinds. The most used accounts for 44.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
677
44.7%
🔥
351
23.2%
👍
273
18.0%
🤣
92
6.07%
💯
44
2.90%
🥰
43
2.84%
🙏
10
0.66%
❤🔥
6
0.396%
⚡
4
0.264%
🎉
4
0.264%
💅
4
0.264%
💘
3
0.198%
🤩
2
0.132%
🦄
2
0.132%
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 47 of the 47 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 1,515 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 30 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 47 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 @godinanatasha. 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 47 most recent posts we hold for this entry, published 30 July 2026 to 28 August 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.
"Функциональные тренировки" - это вторая ступень курса "Здоровье женщины. Тазовое дно". Для тех кто готов идти дальше и совершенствовать свое тело🔥
Тренировки ориентированы на развитие всесторонних физических навыков и способностей. Они помогают улучшить силу, гибкость, выносливость, координацию и баланс, что позволяет достичь максимальных результатов🧘🏼♀️
Для тренеров - это отличная возможность обогатить свою базу…
🔥Открыта регистрация на семинар в Москве!
Вся необходимая теория и практика 💯
- Разберём функциональную анатомию мышц тазового дна (МТД);
- Узнаете как обнаружить МТД в своём теле;
- Узнаете, что такое дисфункция тазового дна, и какие симптомы на это указывают;
- Изучите факторы, которые провоцируют проблемы с тазовым дном;
- Узнаете на что необходимо обратить внимание, когда женщины планируют вернуться к трениро…
Еще 5 летних дней и снова: ранние подъемы, школа, уроки и ожидание следующего лета☀️
Лето всегда скоротечно, в каком бы возрасте мы не пребывали сейчас🤷🏼♀️
У кого так же? Кто его ждет, а оно пролетает в один миг?🙄
Лично я уже начинаю скучать по нему☺️
PS: еще на больничном. Но готовлюсь с 1 сентября быть в строю💯✊🏻
Ой))), это длинная история💯
Присаживайтесь😉🤌🏼
С Георгием Ражденовичем мы знакомы более 10 лет. С его супругой Евгенией чуточку поменьше. Чудесные люди. Дружим домами уже много лет❤️
Так вот! Георгий записался через рецепцию клуба «Pilates&Yoga», где я работала на тот момент. Жил он в этом же доме, где и клуб. Поэтому, туда и пришел. Попал сразу в мои руки, так как запрос у него был сложный, а мне администраторы вру…
Признавайтесь, кто из вас мечтает о красивой и непринужденной осанке?😉
Но видит в отражении у себя вместо этого завернутые плечи и сутулость?🤔
Завернутые плечи - это не только эстетический момент, это указывает на потерю выравнивания, снижение амплитуды движения в плечевых суставах и нарушение биомеханики плече-лопаточного ритма.
Когда головка плечевой кости смещена вперед и вверх, это постепенно приводит к напряж…
Девочки, благодарю вас за обратную связь! Невероятно приятно видеть, что вам нравятся тренировки, и вы получаете от них результаты💯
Счастлива, что ко мне приходит осознанная аудитория, которая понимает и принимает принципы тренировок для женского здоровья, а именно:
- что тело необходимо укреплять изнутри наружу;
- что нет смысла качать только ягодицы или кубики пресса;
- что основная задача — это работа с телом ко…
🔥Сохраните эти упражнения для тазобедренных суставов и ягодиц, чтобы не потерять🔥
Они прекрасно подойдут как для новичков, так и для подготовленных. Работа у опоры с мягким мячом помогает лучше отследить отстройку тела в момент движения.
Рекомендую выполнить от 10 до 20 повторений каждого упражнения в зависимости от своего уровня физической подготовки.
После этих упражнений вы точно обнаружите свои ягодичные мышцы…
Пятница. Ей хотелось погулять на славу, выпить на брудершафт и, может быть, даже найти приключений на свою задницу. Но у неё домашний режим и голосовой покой после Тонзиллэктомии🤪✊🏻
#пятничныйвечер
(Архив)
По данным разных регистров, в России эпизиотомию выполняют в 30–40% случаев.
Как восстановить мышцы тазового дна после родов при разрывах и эпизиотомии.
Эпизио - это процедура рассечения промежности, ее выполняет врач, когда понимает, что в процессе родов раскрытие недостаточное для прохода малыша и есть угроза глубоких разрывов промежности.
Если вы прошли через такую процедуру или тренируете клиенток, которым был…
Ну, наконец-то, я сделала это☺️
Очень долго не могла решиться, но желание отвязаться от бесконечных ангин взяло верх🙌🏻
И всё не зря. Операция шла дольше положенного. Миндалины слева были с сильной рубцовой тканью. Функцию свою они должным образом не выполняли, напротив. Так что, все к лучшему✊🏻
Спасибо всем тем, кто знал об операции и поддерживал меня. Я правда, очень волновалась🫣Обнимаю❤️
❤45👍13🙏4🥰1
Showing the 12 most recent of 47 posts we hold for @godinanatasha. 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.
Александр Семенов @trenersemenov · 22,844 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 19 September 2026
Анастасия Лунегова. Здоровый фитнес. @anastasiyalunegova · 73,918 Telegram ranks this channel #5 of 92 here — alongside 91 others — read 19 August 2026
Будь Легкой В 35+ с Лелей Савосиной @lelyasavosina · 32,845 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 4 September 2026
Masha Blinova. Маша Блинова. Фитнес @mashablinovafit · 280,537 Telegram ranks this channel #6 of 88 here — alongside 87 others — read 10 August 2026
Newyorkfitspo | Школа здорового фитнеса @newyorkfitspo · 109,067 Telegram ranks this channel #9 of 89 here — alongside 88 others — read 14 August 2026
Pilates Flow — Светлана Грин @pilates_flow · 27,896 Telegram ranks this channel #11 of 76 here — alongside 75 others — read 10 September 2026
Марина Кострова @marina_kostrova · 86,346 Telegram ranks this channel #11 of 94 here — alongside 93 others — read 18 August 2026
VLADLENAFIT @vladlenafit · 33,539 Telegram ranks this channel #14 of 93 here — alongside 92 others — read 4 September 2026
Zarina del Mar/Про Тебя @WhatevaCircle · 114,007 Telegram ranks this channel #14 of 95 here — alongside 94 others — read 14 August 2026
Боровская | Академия Нейрофитнеса @kanalsvoboden · 21,841 Telegram ranks this channel #15 of 89 here — alongside 88 others — read 22 September 2026
Ольга Дробышева - здоровый фитнес @sensfitness · 25,102 Telegram ranks this channel #15 of 96 here — alongside 95 others — read 14 September 2026
Остеопат Брагина Катерина | Остеокод @osteocode · 26,224 Telegram ranks this channel #20 of 86 here — alongside 85 others — read 12 September 2026
РАСТЯЖКА С КУТУЗОВОЙ @stretch_Kutuzova · 31,025 Telegram ranks this channel #20 of 93 here — alongside 92 others — read 6 September 2026
Ольга Байкина @baykinaolga · 51,120 Telegram ranks this channel #21 of 89 here — alongside 88 others — read 25 August 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Година Наталья|Тренировки для женского здоровья|Пилатес|” (@godinanatasha), 10,322 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/godinanatasha.
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.