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 68% 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
34 measurements spanning 41 days, net -812. 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 12,255–13,311 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
17 Sept 2026, 09:56
12,377
-30
15 Sept 2026, 07:16
12,407
-13
13 Sept 2026, 18:57
12,420
-15
11 Sept 2026, 22:15
12,435
-28
9 Sept 2026, 12:57
12,463
-45
6 Sept 2026, 08:15
12,508
-40
4 Sept 2026, 04:39
12,548
-21
2 Sept 2026, 16:06
12,569
-17
1 Sept 2026, 15:07
12,586
-13
31 Aug 2026, 14:43
12,599
-18
30 Aug 2026, 12:49
12,617
-24
29 Aug 2026, 15:58
12,641
-12
28 Aug 2026, 15:16
12,653
-25
27 Aug 2026, 16:04
12,678
-11
26 Aug 2026, 16:06
12,689
-21
25 Aug 2026, 18:09
12,710
-23
24 Aug 2026, 16:16
12,733
-33
23 Aug 2026, 03:22
12,766
-31
21 Aug 2026, 12:24
12,797
-22
20 Aug 2026, 09:22
12,819
first reading
Engagement
33 posts held, back to 28 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.44%
avg views ÷ 12,377 subscribers
Avg views / post
426
8 posts measured
Reaction rate
6.51%
reactions ÷ views · ER floor
Posts in window
8
of 33 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
33 (28 July 2026 – 2 September 2026)
Views total
3,411
Reactions total
222
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:27 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
1m 20s
Average length
16s
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
1,180 reactions across 33 posts, in 9 distinct kinds. The most used accounts for 45.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
536
45.4%
🥰
192
16.3%
😍
137
11.6%
🔥
109
9.24%
👀
104
8.81%
👍
55
4.66%
🤗
36
3.05%
💘
10
0.847%
👏
1
0.085%
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 33 of the 33 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 1,180 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 28 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.
Код молодости: кому подходит Age Decoder
🍂 Осень — время перемен, но коже необязательно подстраиваться под сезон. Почувствовать себя обновленными, легкими и полными сил можно, не дожидаясь весны.
Коллекция Age Decoder помогает поддерживать молодость кожи круглый год. Четыре средства, и каждое работает по-своему.
🩷 Age Decoder Mask
Гелевая маска с маслами, бамбуковой пудрой и комплексом Vita-Up Gravity для эластич…
Научная база: что лежит в основе крема Age Decoder Cream
🩷 Крем-бустер для борьбы с возрастными изменениями — один из хитов коллекции Age Decoder. В основе крема — сразу четыре комплекса, и здесь нет ни одной лишней детали. Каждый компонент в этом уникальном конструкторе на своем месте. Заглянем внутрь? ⤵️
🟢Omega 369
Настоящий «коктейль молодости»: масла подсолнечника, макадамии и оливковых косточек ценны каждое по…
Этап демакияжа хочется сделать максимально простым, без долгого трения кожи, нескольких ватных дисков и ощущения, что после очищения лицо стало сухим и стянутым.
Для этого у okolo вышли сразу две новинки для снятия макияжа:
— мицеллярная вода Hydramild Micellar Water,
— двухфазное средство для снятия макияжа Liftaway Makeup Remover.
ПРОДОЛЖЕНИЕ У НАС В БЛОГЕ!
Мы в MAX / Мы в ВК
Планы на осень: 6 идей
☀️ Лето подходит к концу, почти незаметно, как заканчивается световой день в августе. Впереди сезон перемен, новых маршрутов, наблюдений и маленьких открытий.
Предлагаем довериться случаю и выбрать, с чего начать эту осень.
Как играть?
— Отправьте в комментарии эмодзи 🎳
— Количество оставшихся кеглей укажет на вашу первую осеннюю идею.
А дальше наблюдайте, пробуйте, исследуйте.
▪️Небольшо…
Небольшой повод порадовать себя
До конца августа любая покупка средств okolo возвращается приятным бонусом — повышенным кешбэком 15% на карту «Золотого яблока».
💧 Можно пополнить запас любимой Hydramild Micellar Water или познакомиться с двухфазным средством Liftaway Makeup Remover.
🔸Иногда выбрать что-то для себя — уже хороший повод.
Вредные советы: развенчиваем мифы
💛 В бьюти-сфере до сих пор много заблуждений, и мы решили с ними бороться. Собрали три предрассудка, о которых давно пора забыть.
— Жирной коже не нужен увлажняющий крем
Не устанем повторять: даже жирная кожа может быть обезвоженной, поэтому ей тоже необходимо качественное увлажнение. Правильно подобранный крем или флюид не сделает кожу более жирной. Наоборот, поможет поддерживать…
Золотое правило okolo: быть в моменте
🟠 Для okolo красота — это не мимолетное впечатление. Настоящие ценности не подвластны времени: они глубже, чем внешний эффект.
Неспешность, осознанность и преемственность — не просто слова, а философия бренда. И если вы тоже мечтаете замедлиться и научиться жить в моменте, нам точно по пути.
Сбор урожая: встречаем новинку!
🟢 Совсем скоро у okolo появится новинка, и мы предлагаем угадать, что это будет. Подсказка: один из ключевых компонентов — загадочный ингредиент под названием «Пумикс».
Оставляйте в комментариях свои версии!
Вдохновение дня: продуманный уход
🌸 Ритуал ухода — одна из немногих вещей, которые мы можем контролировать в этом нестабильном мире. Заземлиться, почувствовать опору и вернуть ощущение спокойствия помогает простая бьюти-рутина, которую вы повторяете каждый день.
— Уход за волосами
Ставка на звездный дуэт: твердый шампунь и бустер для волос. И, конечно, не забывайте про термозащиту перед укладкой.
— Лицо
Начните …
Как быстро освежить кожу?
Тонизирующая сыворотка Smoothing Dew Drops — особый случай. Она работает сразу в двух направлениях: дает мгновенный эффект и заботится о коже в долгосрочной перспективе.
✨ В составе — кокосовое масло, современные эмоленты и фруктовая вода клюквы. Всего несколько капель — и кожа выглядит более свежей, гладкой и увлажненной. А при регулярном использовании сыворотка помогает бороться с возрас…
❤19💘8🥰7😍4👀1
Showing the 12 most recent of 33 posts we hold for @okolo_you. 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
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 2 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.
FOR ME @forme · 132,406 Telegram ranks this channel #1 of 55 here — alongside 54 others — read 14 August 2026
RAD SAID WHAT?! @rad_not_bad · 26,083 Telegram ranks this channel #2 of 61 here — alongside 60 others — read 12 September 2026
Hi, Darling @hidarling_ru · 28,398 Telegram ranks this channel #3 of 59 here — alongside 58 others — read 9 September 2026
This channel appears in 3 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Пространство okolo” (@okolo_you), 12,377 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/okolo_you.
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.