Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 88% 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
27 measurements spanning 41 days, net +1,289. 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 6,673–25,096 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)
Subscribers
Change
17 Sept 2026, 18:01
15,356
-94
15 Sept 2026, 16:20
15,450
-1,786
14 Sept 2026, 00:36
17,236
-614
12 Sept 2026, 06:38
17,850
-3,592
10 Sept 2026, 03:39
21,442
-129
6 Sept 2026, 21:19
21,571
-273
4 Sept 2026, 11:16
21,844
-75
2 Sept 2026, 21:05
21,919
-57
1 Sept 2026, 21:35
21,976
-77
31 Aug 2026, 22:08
22,053
-29
30 Aug 2026, 20:36
22,082
-214
29 Aug 2026, 17:45
22,296
-138
28 Aug 2026, 14:32
22,434
-536
27 Aug 2026, 14:25
22,970
+14,171
24 Aug 2026, 06:24
8,799
-437
20 Aug 2026, 23:42
9,236
-754
17 Aug 2026, 22:23
9,990
-145
16 Aug 2026, 22:14
10,135
-624
15 Aug 2026, 15:03
10,759
-901
14 Aug 2026, 00:39
11,660
first reading
Engagement
15 posts held, back to 15 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
49.9%
avg views ÷ 15,356 subscribers
Avg views / post
7,660
3 posts measured
Reaction rate
3.02%
reactions ÷ views · ER floor
Posts in window
3
of 15 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 3 September 2026
Posts held
15 (15 July 2026 – 3 September 2026)
Views total
22,980
Reactions total
693
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 13:20 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
4m 48s
Average length
36s
Measured directly from 8 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
3,392 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 35.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,198
35.3%
👍
1,105
32.6%
❤
1,083
31.9%
💋
2
0.059%
😍
2
0.059%
🥰
2
0.059%
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 15 of the 15 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 3,392 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 15 July 2026 to 3 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.
Смотрите какая классная идея - бьюти бокс совместно с врачом акушер-гинеколог Ольгой Крумкач - ПМС-бокс. В наборе 21 средство. Баночки позволят смягчить непростой период предменструального синдрома и менструации. Идея в том, чтобы собрать в одном боксе всю ту поддерживающую заботу, которую женщина обычно вынуждена добывать по крупицам. В нем есть средства гигиены, бережный уход, лично одобренный врачом, и сладости. …
Поздравляю всех с 1 сентября. Ловите идею подарка деткам♥️
Мои больше всего обрадовались купону на мороженое (столько, сколько влезет в руки) 👻 и пропуски школы 🏫
На тверском бульваре снова проходит самое доброе мероприятия уходящего лета «Моспитомец х Четвероногий друг».
Вчера 10 хвостиков проснулись в своем новом уютном доме – их усыновили гости бульвары. Вы тоже можете так 😊
Мероприятие продлится до 30 августа. Гости смогут познакомиться с 250 воспитанниками приютов для животных и, возможно, стать любящим хозяином того самого хвостика 🐕
В сквере на Тверском бульваре до 3…
Кажется, я больше не смогу просто выпить чашку кофе. Теперь мне нужно знать, что с ним произошло до того, как он оказался у меня в руках
Вчера в «Аисте» прошли весь путь зерна: от зеленой кофейной ягоды до обжарки на ростере. И это оказалось гораздо интереснее, чем я ожидала.
Оказывается, кофе — это отдельная вселенная: сорта, ферментация, способы обработки, регионы и даже имена фермеров.
Например, анаэробная ферм…
Кажется, у нас новый wellness-тренд 👀
Патчи для тела — и нет, это не те самые патчи от прыщей.
Эти патчи наклеиваются на кожу, пропитаны маслами и веществами и постепенно высвобождают активные компоненты.
Я попробовала бренда BODDY. В линейке — настроение, энергия, фокус, восстановление и спокойствие.
Мне особенно нравится сама идея: маленький beauty/wellness-ритуал, который можно взять с собой в самолет, наклеить…
Вместо сочинения «как я провел лето» - мои фотографии 🤍
Этот август был лучшим месяцем за последний год. Я была на родине, ходила босиком по земле, по которой ходили мои предки и заряжалась этим!
Отложила телефон, замедлилась и заземлилась, ела ягоды прямо с куста, убегала в лес на пробежки, смотрела на звезды у костра с папой, много разговаривала с детьми (мы не виделись 2 месяца!), собирала и сушила травки, варил…
В июле я много завтракала вне дома благодаря вестивалю завтраков https://breakfest.saltmagazine.ru/ и готова поделится своими фаворитами ♥️
1. Dizengoff - мне так нравится что в эту серт ресторанов как ни зайдешь, тебя всегда встречают с как самого долгожданного друга. И вот если ты прийдешь с шабутной собакой или крикливыми детьми. ВСЕГДА мне здесь душевно и вкусно! Из меню затраков очень понравился протеиновый ш…
Я много всего делаю в клиниках у косметологов, но иногда и сама себе косметолог. Вот моя новая любимка по уходу за кожей дома - ультразвуковой скрабер.
У меня гиперплазия сальных желез и в целом поры расширены. Этим гаджетом от Wau раз в 2 недели делаю «химчистку» кожи 🫧 с пузырьковой маской и специальным гелем.
Кожа становится чистой, никаких черных точек. А функция увлажнения 💧 хорошо увлажняет и усиливает дейст…
По утрам я не разговорчивая 😁 поэтому расскажу о посылке буковками: это новый коллаген Plas с хорошей дозировкой (7600 мг на порцию) с витамином С и кремнием. Буду пить утром на тощак для красивой кожи и волос.
И еще тут в пакетике Защитник митохондрий - это такие это «энергетические станции» клетки, маленькие внутренние «фабрики», которые производят энергию, необходимую для жизни клетки и всего организма. В том чи…
У меня пунктик на красивых зубах. Посмотрите какие красивые наборы от Tiswell 🤍
В детской линейке все для того, чтобы поддерживать правильное развитие эмали.
А во взрослой - чтобы сохранить и преумножить то, что уже имеется.
Название еще прикольное - нано пломба (имеет патент) - эта технология, которая воспроизводит природный механизм реминерализации зубов и восстанавливает эмаль. Буду тестировать 😁
👍59❤56🔥55😍2🥰1
Showing the 12 most recent of 15 posts we hold for @beautyvodnaya. 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.
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.
“Бьютиводная” (@beautyvodnaya), 15,356 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/beautyvodnaya.
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.