Ecommerce storefront — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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
24 measurements spanning 89 days, net +4,191. 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 2,438–8,047 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
4 Nov 2026, 06:15
7,328
-14
1 Nov 2026, 00:36
7,342
-16
29 Oct 2026, 10:27
7,358
-16
26 Oct 2026, 04:16
7,374
-17
22 Oct 2026, 23:48
7,391
-9
19 Oct 2026, 11:27
7,400
+169
16 Oct 2026, 20:46
7,231
-29
13 Oct 2026, 19:17
7,260
-18
7 Oct 2026, 20:37
7,278
+51
1 Oct 2026, 15:54
7,227
+2,428
16 Sept 2026, 05:18
4,799
-36
12 Sept 2026, 16:57
4,835
-38
8 Sept 2026, 11:19
4,873
-32
3 Sept 2026, 15:58
4,905
-31
31 Aug 2026, 09:25
4,936
-24
28 Aug 2026, 07:25
4,960
-28
25 Aug 2026, 06:45
4,988
-27
22 Aug 2026, 12:46
5,015
-38
18 Aug 2026, 16:25
5,053
+1,968
15 Aug 2026, 08:26
3,085
first reading
Engagement
17 posts held, back to 15 June 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 6 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.44%
avg views ÷ 7,328 subscribers
Avg views / post
105
5 posts measured
Reaction rate
45.8%
reactions ÷ views · ER floor
Posts in window
8
of 17 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 November 2026
Posts held
17 (15 June 2026 – 3 November 2026)
Views total
526
Reactions total
241
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 00:41 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
≈1,140
Videos
≈185
Links
≈157
Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1m 11s
Average length
12s
Measured directly from 6 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
547 reactions across 14 posts, in 15 distinct kinds. The most used accounts for 20.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
111
20.3%
🥰
109
19.9%
❤🔥
84
15.4%
👍
69
12.6%
💘
57
10.4%
👏
53
9.69%
👌
43
7.86%
🤣
8
1.46%
💋
3
0.548%
🤪
3
0.548%
🍓
2
0.366%
🎅
2
0.366%
⚡
1
0.183%
🎄
1
0.183%
💅
1
0.183%
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 14 of the 17 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 547 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 15 June 2026 to 3 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 8 posts held from the last 30 days (12.5%) 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).
Когда хочется умыться «до скрипа», чтобы кожа дышала, а потом с особым удовольствием наносить сыворотки и кремы...
Это про меня….
Но секрет идеального ухода не в скрипе, а в правильном первом шаге! 🤫
Мой фаворит — профессиональное гидрофильное масло от бренда 11i professional. Это не просто очищение, это база для безупречной кожи.
Почему оно в моем топе?
☁️ Снимает всё: даже самый стойкий макияж и тушь смываются без…
Инвестиция в качество кожи: разбираем серию PDRN+ от FABERLIC 🧬
Когда тебе уже за 40, кожа начинает требовать более сложных формул. Обычного увлажнения уже мало — нужны компоненты, которые стимулируют обновление и плотность.
Новая серия PDRN+ — это настоящий биохакинг для лица. В основе лежит 3D-система, которая работает сразу в трех направлениях:
1️⃣ PDRN нового поколения — восстановление.
2️⃣ 5 сигнальных пеп…
New routine 🤍
Начинаю свой марафон по росту волос!🚀
Выбрала лосьон Mona Premium White Line. В составе крутой комплекс CAPIXYL с пептидами и куча полезных экстрактов: от розмарина до имбиря. 🌿
Ставлю цель: регулярное использование в течение 2-3 месяцев. Буду смотреть, как кожа головы и волосы отреагируют на такой мощный состав.
А чем пользуетесь вы🩵
девочки, я тут нашла еще один способ радовать себя каждый день! 🥹💗
в tg появилась «Рулетка желаний» - заходите и бесплатно крутите рулетку! 🎀
что может выпасть?
🎟️ билеты для будущих розыгрышей подарков
💗 XP и защита серии
🛍️ сертификаты на Wildberries, Ozon и Золотое Яблоко
билетики можно копить уже сейчас, потому что совсем скоро будут еженедельные розыгрыши подарков!! 🥹
заходите в @beautygerlwbbot → нажимаете …
Продолжаем наш InterCHARM-марафон! 🌸
Девочки, я поняла, что мало постов было, чтобы передать весь этот вайб! 😍
Поэтому я решила продолжить свой рассказ о брендах, чьи стенды я успела посетить.
ZERAPY, KAMALI, CHA U CAO, LIBREDERM, G. LOVE, NSC, L’OCO, KERASYS, Spark&Glow, The U, FARRES, Equivalent, by Мустаева, Русская Косметика, Climt, Camomilla BLU, FITOGAL’, RBG, elian, Сделано Пчелой, ART-VISAGE, ANSTEIN, GELTEK,…
Тот самый случай, когда аромат — это отдельный вид искусства ✨ ❤️🔥 Речь о Black Opium от KANAP.
Я искала что-то дерзкое, притягательное и по-настоящему «дорогое» по звучанию, и это оно.
Это унисекс, поэтому в нем нет лишней сладости, только глубокий, обволакивающий вайб.
Мои честные ощущения: ☕️
🔵Это невероятное сочетание кофе, ванили и специй.
Он звучит очень интенсивно и уверенно. Я поймала себя на мысли, что п…
Мой утренний ритуал наконец-то стал приятным. ✨
Раньше каждое утро начиналось с борьбы: то крем слишком жирный и макияж «плывет», то увлажнения не хватает и лицо выглядит стянутым.
В итоге искала что-то среднее.
Наткнулась на корейский крем 11I PROFESSIONAL anti-age и, честно, не ожидала, что флюид может так работать.
Что зацепило:
🟣Текстура: Он очень легкий. Впитывается буквально за секунды, не оставляя липкости.…
Для идеальной кожи нужен хороший уход✨
Я обожаю формат пенки. Это не просто очищение, это настоящий ритуал. Она создает нежнейшую, облачную текстуру, которая буквально тает на лице.
Недавно в мой уход вошла пенка для умывания от прыщей от бренда YeSiMi, и я в полном восторге! 😍
Что я заметила после использования:
✅ Безупречная чистота: Она глубоко очищает поры, удаляя загрязнения и излишки себума, но при этом ост…
👌5🥰5❤🔥4🎅1🤣1
Showing the 12 most recent of 17 posts we hold for @beautyingalife. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Бьюти в уюте” (@beautyingalife), 7,328 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/beautyingalife.
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.