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
29 measurements spanning 35 days, net +311. 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 13,403–14,004 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
11 Sept 2026, 05:22
13,866
-13
8 Sept 2026, 10:41
13,879
-19
5 Sept 2026, 02:20
13,898
-7
3 Sept 2026, 10:24
13,905
-11
2 Sept 2026, 07:23
13,916
-3
1 Sept 2026, 07:27
13,919
-16
31 Aug 2026, 05:57
13,935
+8
30 Aug 2026, 03:25
13,927
+208
29 Aug 2026, 04:46
13,719
+125
28 Aug 2026, 04:43
13,594
+59
27 Aug 2026, 06:26
13,535
+20
26 Aug 2026, 08:55
13,515
+33
25 Aug 2026, 05:28
13,482
+10
24 Aug 2026, 02:01
13,472
-4
22 Aug 2026, 08:08
13,476
-18
20 Aug 2026, 20:33
13,494
-2
19 Aug 2026, 18:14
13,496
-4
18 Aug 2026, 19:56
13,500
-2
17 Aug 2026, 17:07
13,502
-5
16 Aug 2026, 08:57
13,507
first reading
Engagement
48 posts held, back to 18 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 50 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.00%
avg views ÷ 13,866 subscribers
Avg views / post
832
22 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
22
of 48 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 2 September 2026
Posts held
48 (18 July 2026 – 2 September 2026)
Views total
18,295
Reactions total
306
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 19:30 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
5h 17m
Average length
6m 55s
Measured directly from 46 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
707 reactions across 48 posts, in 14 distinct kinds. The most used accounts for 31.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
224
31.7%
🔥
158
22.3%
👍
152
21.5%
❤🔥
94
13.3%
😁
22
3.11%
🤩
22
3.11%
👏
11
1.56%
💯
8
1.13%
😍
4
0.566%
🤔
4
0.566%
🥰
4
0.566%
💅
2
0.283%
💘
1
0.141%
🙏
1
0.141%
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 48 of the 48 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 707 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 18 July 2026 to 2 September 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
4
across the posts below
Posts paid on
4
of 48 we hold a reading for · 8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fitness6699. 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 48 most recent posts we hold for this entry, published 18 July 2026 to 2 September 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.
⚡️ПОКА, БОКА - всего 11 минут в день
➖➖➖➖➖➖➖
⠀
💗2 круга по 5 упражнений
💗работа по схеме 30:30 (30 с выполняем, 30 с отдыхаем)
💗между кругами отдых 2 минуты
💗повторяем 3-4 раза в неделю
⠀
Не забудь поставить лайк и сохранить тренировку, чтобы не потерять и я надеюсь, обязательно выполнить ✨😉
⠀
#пресс@fitness6699
💃inna_sozday_sebya
🎁Твой личный Бесплатный Нутрициолог: @tit_fit6699bot
📲Мы в MAX
https://max.ru/chan…
Девочки, признавайтесь честно, у кого было так же?
➖➖➖➖➖➖➖
Ставьте 🔥, если узнали себя, или пишите в комментарии, какой продукт обычно становится вашим «ночным срывом»! 👇
Девчонки! ❤️
Если вы не знаете, сколько КБЖУ в рецепте, или просто не хотите считать вручную — не проблема!
Просто отправьте скриншот, рецепт блюда нашему
Нутрициолог Алле — и она за секунду посчитает всё точно:
✅ калории
✅ белки
✅ жиры
✅ углево…
🌶️ Домашняя тренировка
На все тело за 10 минут
➖➖➖➖➖➖➖
Каждое упражнение делаем 10 раз, постепенно увеличиваем количество повторений 💪
🌸 Я обычная девушка, которая хочет выглядеть хорошо. Поэтому бережно собираю разные приемы, техники для себя, и с вами делюсь за компанию.
И поставьте ❤️, если забрали технику себе - для меня это всегда знак продолжать делиться дальше полезностями 💓
#комплекс@fitness6699
💃olga_az…
Когда зашла на Lamoda просто посмотреть… а вышла с пакетом вещей, потому что скидки сами себя не купят 😂🛍️
Всё взяла по очень приятным ценам, теперь главный вопрос — что оставить, а что вернуть? 👀
Смотрите примерку и пишите, что забираем без разговоров 👇
paco_rabanneee_
ХОЧЕШЬ ПЛОСКИЙ ЖИВОТ?
➖➖➖➖➖➖➖
Начни с этих упражнений💪🏽
Здесь соединяем классические упражнения на пресс + активные движения.
Получаем тренировку, где:
🔥 работаем с мышцами живота
🔥 разгоняем пульс
🔥 активно тратим калории
🔥 укрепляем и подтягиваем пресс
Как делать:
— 7 упражнений
— минимум 3 круга
— выполняем в хорошем темпе
— между упражнениями стараемся не делать длинных пауз
Сохранила упражнения и не написал…
Хватит ломать голову над ужином!
🤯 Открываешь холодильник, а там только свет и одинокий кабачок?
Знакомая боль: хочешь питаться вкусно, держать фигуру в тонусе, но времени на сложные рецепты и подсчет калорий просто НЕТ. Приходишь с работы, психуешь и заказываешь пиццу. 🍕❌
Стоп! Познакомься со своим новым личным AI-нутрициологом, который живет прямо у тебя в Telegram! 📱✨
Что делает этот бот? Он творит магию:
📸 Про…
💪 Пилатес на всё тело с гантелями.
➖➖➖➖➖➖➖
Домашняя силовая тренировка
💗В этой тренировке поработаем со всем телом с помощью пилатеса и лёгких гантелей.
💗Будем укреплять руки, плечи, спину, ноги, ягодицы и мышцы кора, уделяя внимание контролю движений и дыханию.
💗Гантели помогут добавить немного силовой нагрузки, но вы можете выбрать комфортный для себя вес. Если дома нет гантелей, их можно заменить небольшими б…
ТАВАТА КАРДИО ТРЕНИРОВКА для новичков 💪
➖➖➖➖➖➖➖
🌸Девочки, я очень стараюсь для вас и вижу, что многие сохраняют тренировки, но не ставят лайк, огонек ❤️🔥 🔥
Давайте исправляться - Вам не сложно, а мне очень приятно!☺️
#табата@fitness6699
💃alena.fit.home
🎁Твой личный Бесплатный тренер: @tit_fit6699bot
📲Мы в MAX
https://max.ru/channel_fitness6699
🎀Фитнес Дома для Девушек🎀
🛑 ХВАТИТ ПЕРЕПЛАЧИВАТЬ!
Ты даже не представляешь, сколько можно сэкономить! Пока одни покупают вещи за полную стоимость, другие находят настоящие сокровища за копейки.
Привет! Я создатель этого Инстаграм-аккаунта, и я каждый день роюсь на маркетплейсах, чтобы находить для вас самые горячие скидки и "ошибки цены".
🎁 Взгляни на скриншоты:
🧥 Брендовый пуховик за 938 ₽ (вместо 4799 ₽!)
👗 Стильное платье от 420 ₽!
…
Холка и боли в шейном отделе уйдут уже через месяц 💪
➖➖➖➖➖➖➖
Сохранила упражнения и не написала «СПАСИБО» в комментариях👇, помните, что Вы будете толстой сарделькой 🌭🤪
#спина@fitness6699
💃regina_shulzhevskaya
🎁Твой личный Бесплатный тренер: @tit_fit6699bot
📲Мы в MAX
https://max.ru/channel_fitness6699
🎀Фитнес Дома для Девушек🎀
ТАБАТА - ЯГОДИЦЫ ГОРЯТ ЗА ПАРУ МИНУТ 🔥
➖➖➖➖➖➖➖
Тренировка с фитнес-резинкой, которая реально включает ягодицы. Просто надевай резинку и повторяй.
Коротко, но очень эффективно:
- ягодицы включаются с первых секунд, - появляются жжение,
- форма начинает меняться.
💗Делай в контроле,
💗держи напряжение,
💗работай на качество.
Сохраняй тренировку и делай регулярно — так ягодицы становятся тонусными и подтянутыми 💪🏽🔥
#…
🔥6❤4👍2🤩2❤🔥1
Showing the 12 most recent of 48 posts we hold for @fitness6699. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@fitness6699 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@paco_rabanneee_ named in 2 posts, 29 August 2026 – 30 August 2026
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“Фитнес Дома для Девушек” (@fitness6699), 13,866 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/fitness6699.
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.