Экспертиза бьюти-рынка более 15 лет! Красовская Дарья, основатель и идеолог канала.
#6909230347
https://knd.gov.ru/license?id=6737d42b6afad41667c0902f®istryType=bloggersPermission
По всем вопросам:
Катрин @Katrin_BBB
[email protected]
Created
22 February 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — a classification, not a measurement. 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
33 measurements spanning 44 days, net -4,352. 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 83,294–90,551 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 05:37
84,131
-4,501
16 Sept 2026, 17:01
88,632
-145
14 Sept 2026, 17:59
88,777
+670
13 Sept 2026, 01:39
88,107
-247
11 Sept 2026, 04:16
88,354
-1,193
8 Sept 2026, 10:01
89,547
+1,048
5 Sept 2026, 01:20
88,499
-1,139
3 Sept 2026, 05:58
89,638
+980
1 Sept 2026, 21:25
88,658
-188
31 Aug 2026, 22:16
88,846
-305
30 Aug 2026, 20:25
89,151
+97
29 Aug 2026, 17:46
89,054
+3,510
28 Aug 2026, 16:48
85,544
-2,888
27 Aug 2026, 15:12
88,432
-947
26 Aug 2026, 13:23
89,379
+1,096
25 Aug 2026, 16:55
88,283
-652
24 Aug 2026, 17:26
88,935
+1,363
22 Aug 2026, 23:48
87,572
-1,719
21 Aug 2026, 15:18
89,291
-101
20 Aug 2026, 14:42
89,392
first reading
Engagement
250 posts held, back to 2 August 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 98 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.8%
avg views ÷ 84,131 subscribers
Avg views / post
15,000
144 posts measured
Reaction rate
0.939%
reactions ÷ views · ER floor
Posts in window
145
of 250 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 22 September 2026
Posts held
250 (2 August 2026 – 22 September 2026)
Views total
2,155,150
Reactions total
20,231
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Sept 2026, 23:17 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
≈11,500
Videos
≈562
Links
≈2,370
Lifetime counters from Telegram’s own channel header, read 22 September 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
10m 20s
Average length
24s
Measured directly from 26 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
34,421 reactions across 242 posts, in 7 distinct kinds. The most used accounts for 34.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
11,856
34.4%
❤
11,387
33.1%
🔥
11,140
32.4%
🦄
18
0.052%
❤🔥
13
0.038%
💋
5
0.015%
🙈
2
0.006%
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 249 of the 250 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 35,670 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 250 most recent posts we hold, published 2 August 2026 to 22 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
2
across the posts below
Posts paid on
2
of 249 we hold a reading for · 0.8%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bigbeautyboss. 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 250 most recent posts we hold for this entry, published 2 August 2026 to 22 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.
#bbb_soul
Завтра наступит не просто очередная среда, а день осеннего равноденствия. Это одна из 4 самых мощных дат года! 🌟 Осеннее равноденствие – время идеального баланса света и тьмы, когда сама Вселенная говорит нам: «Пора подвести итоги и освободить место для нового».
ТОП 3 практик на Осеннее Равноденствие
Очищение пространства 🧹
Разберите шкафы, выбросьте старые и ненужные вещи, посуду с трещинами, непарные н…
#bbb_product
«Решила протестировать неаэрозольный сухой шампунь K18 Hair Airwash, чтобы понять, насколько он оправдывает свою премиальную цену. Средство позиционируется как «умный шампунь»: в формуле используются особые прозрачные микросферы, которые впитывают себум без стандартного белого налета на корнях.
На практике это выглядит, конечно, необычно. При нанесении ощущение, что распыляешь воду на волосы. Потом нуж…
#bbb_wellness
➡️ Продолжение материала про цифровойдетокс
Как начать цифровой детокс?
Сначала отнеситесь к цифровому детоксу как к приятному эксперименту для восстановления сил.Некоторые методы более актуальны в сезон отпусков, но часть из них можно попробовать и в будни. Главное — осознать проблему, поставить перед собой чёткую цель и определить правила.
Например, Сергей Князев предлагает сперва ответить, сколько …
#bbb_wellness
Цифровой детокс
Современный человек проводит в виртуальном мире большую часть своего дня. Он всегда на связи, но незаметно теряет контакт с самим собой и окружающим миром. Информационный шум и бесконечный скроллинг ленты приводят к хронической усталости, тревожности, нарушению сна и крадут самое главное — реальную жизнь. Узнали у экспертов, как цифровой детокс стал не просто модным трендом, а необходи…
#bbb_news
Salt&Stone представили свою новинку – Ambrette & Pear🍐. Впервые аромат представлен в формате парфюмерной воды (Eau de Parfum), а также в виде уже ставшего культовым дезодоранта бренда.
Пирамида аромата сочетает в себе фруктовую свежесть, элегантность белых цветов и глубину современных парфюмерных молекул, создавая многослойную и запоминающуюся композицию.
✔️Верхние ноты: сочная груша, хрустящее яблоко и …
Всем привет!
Сегодня хотим поговорить о цифровом детоксе, зачем он нужен и как его правильно проводить? Ждите в #bbb_wellness🔜
#bbb_astro
Сегодня тот самый день, когда Вселенная официально требует от нас выдохнуть, отложить импульсивные покупки и заняться ментальным детоксом. Луна требует дисциплины, честности с собой и фокуса на долгосрочных целях, а не на сиюминутных желаниях. Поэтому лучшим решением на сегодня …
#bbb_products
«Я была наслышана о легендарном геле Holika Holika с алоэ вера и с удовольствием взяла на тест парочку средств из той же линейки. В ванне флаконы в виде сочного листа алоэ, действительно, смотрятся очень стильно. И, к счастью, их яркий дизайн оказался не единственным плюсом.
Гель для душа с 92% экстрактом алоэ даёт не сильно выраженную пенку, но за счёт состава подходит для чувствительной кожи. Кожа пос…
#bbb_celeb
Vogue показал обложку своего октябрьского номера - на ней невероятной красоты 36-летняя Дакота Джонсон, которая кажется не меняется уже десять лет! Раскрываем ее секреты красоты.
😴 Сон длиной в 14 часов
Да-да, вы не ослышались! Дакота считает сон своим главным бьюти-секретом и может спать до 14 часов в сутки. Пока мы выживаем на пяти часах и нескольких стаканов кофе, актриса доказывает: красота - это пре…
#bbb_news
Maison Margiela представил один из самых интригующих релизов в истории линейки Replica - новый аромат Letter Never Sent, вдохновленный атмосферой Токио 1995 года. В основу концепции легла трогательная идея письма, которое было написано, но так и не отправлено. Новинка стала по-настоящему знаковой, ведь это первый в истории Replica эксклюзивный аромат, посвященный одному городу, а также первая парфюмерная во…
Всем привет!
Сегодня ждите новую героиню #bbb_celeb — очаровательную Дакоту Джонсон! Любим ее образы «я просто так проснулась». 🔜 заглянем в её бьюти-рутину и узнаем, как она сохраняет сияние без лишних усилий!
#bbb_astro
Луна переходит в стабильного Тельца, помогая мягко войти в новую рабочую неделю. После огненных выходных заземление — именно то, что нужно. Телец любит комфорт и понятные, измеримые результаты. Се…
#bbb_products
Осенью мои губы всегда начинают сильно сохнуть и шелушиться, поэтому взяла на тест два бальзама EXO в оригинальной форме «яйца», и уже за неделю использования заметила реальное улучшение. «Персиковый»Exo Egg я наношу по утрам: он пахнет сладким персиком, текстура очень мягкая, дает легкий блеск без липкости, а масла манго, кокоса и SPF7 отлично защищают от прохладного ветра. Exo Egg «Яблочный штрудель» …
❤44👍28🔥28
Showing the 12 most recent of 250 posts we hold for @bigbeautyboss. 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.
Posts edited after publishing
@bigbeautyboss edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
24 August 2026
Most recent edit
24 August 2026
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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 18 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Рецепты и тренировки от Тани ❤️ @sport_tanya · 124,409 Telegram ranks this channel #48 of 62 here — alongside 61 others — read 14 August 2026
Аутсайдер UA @outsiderukraine · 43,007 Telegram ranks this channel #72 of 80 here — alongside 79 others — read 28 August 2026
Швидко та точно🇺🇦 @ukr_shvydko · 311,405 Telegram ranks this channel #76 of 76 here — alongside 75 others — read 10 August 2026
EQUITY KING VIVEK JOSHI @EquityKingVivekJoshi · 111,013 Telegram ranks this channel #77 of 84 here — alongside 83 others — read 11 September 2026
This channel appears in 4 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.
“Big Beauty Boss” (@bigbeautyboss), 84,131 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/bigbeautyboss.
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.
