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 97% 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
62 measurements spanning 95 days, net +290. 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 19,447–20,220 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
8 Nov 2026, 23:59
20,090
-2
7 Nov 2026, 14:50
20,092
-2
6 Nov 2026, 16:36
20,094
+7
5 Nov 2026, 14:20
20,087
-4
4 Nov 2026, 12:40
20,091
+3
3 Nov 2026, 13:19
20,088
-16
2 Nov 2026, 11:56
20,104
-5
1 Nov 2026, 09:49
20,109
-16
31 Oct 2026, 12:09
20,125
-6
30 Oct 2026, 13:29
20,131
+4
29 Oct 2026, 10:15
20,127
+35
28 Oct 2026, 09:09
20,092
+73
27 Oct 2026, 08:30
20,019
+172
26 Oct 2026, 11:28
19,847
-21
25 Oct 2026, 12:27
19,868
-15
24 Oct 2026, 11:55
19,883
-32
23 Oct 2026, 08:45
19,915
-48
22 Oct 2026, 09:51
19,963
-107
21 Oct 2026, 02:27
20,070
-43
20 Oct 2026, 03:28
20,113
first reading
Engagement
32 posts held, back to 23 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 68 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.32%
avg views ÷ 20,090 subscribers
Avg views / post
1,270
11 posts measured
Reaction rate
6.31%
reactions ÷ views · ER floor
Posts in window
12
of 32 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 7 November 2026
Posts held
32 (23 July 2026 – 7 November 2026)
Views total
13,959
Reactions total
881
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 15:22 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 07s
Average length
1m 07s
Measured directly from 1 video 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
1,487 reactions across 31 posts, in 8 distinct kinds. The most used accounts for 67.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
998
67.1%
🔥
216
14.5%
⚡
99
6.66%
👍
64
4.30%
💯
53
3.56%
💅
36
2.42%
🤓
12
0.807%
🤯
9
0.605%
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 31 of the 32 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 1,487 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 23 July 2026 to 7 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: 2 of 12 posts held from the last 30 days (16.7%) 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).
Как средства NAOS живут свою лучшую жизнь в ваших косметичках, поездках и буднях ✨
Не могли не поделиться этими фото и уже хотим увидеть новые! Делитесь кадрами своих фаворитов BIODERMA, Institut Esthederm или Etat Pur — возможно, они попадут в следующую подборку.
Красота будущего: какой она будет
Раньше индустрия обещала победить время. А сейчас всё чаще говорит о здоровье кожи: не «исправить», а поддержать ее. Вместо универсальных решений — персональный подход. Вместо советов от подруги — рекомендации искусственного интеллекта.
В новом выпуске подкаста мы говорим с Анной Дычевой-Смирновой — автором исследования InterCHARM Trend Radar и экспертом в области маркетинга парфюм…
💌 Когда пора задумываться о сохранении молодости31%
The shares total 160%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Мы стоолько хотим вам рассказать! А что хотите узнать вы?
«Бьюти завтрак» — это диалог в подкасте и полилог здесь, в нашем сообществе. И сейчас нам хочется спросить: о чем еще поболтаем, что вам интересно прочитать?
Предлагаем такие темы — голосуйте или делитесь своими вариантами в комментариях. Мы все читаем 🤍
Начинается время страшилок. Но часто «жуткие» истории случаются не в фильмах, а в нашей рутине.
Собрали бинго из кошмаров в уходе. Отмечайте, что случалось с вами — сохраняйте картинку и присылайте скрин в комментарии. Посмотрим, у кого коллекция «ужасов» больше 👻
Жить долго и/или счастливо? Обсуждаем долголетие
Мы расшифровываем анализы с ИИ, считаем шаги и часы сна, следим за пульсом и уровнем стресса. А помогает ли такая осведомленность жить дольше — и главное, лучше?
В новом выпуске подкаста «Бьюти завтрак» говорим со Станиславом Скакуном — ИТ-предпринимателем и исследователем персонализированного подхода к здоровью. Он уже много лет проводит эксперименты над собственным…
5 полезных привычек, которые перезаряжают
В выпуске с Юлией Бикеевой мы говорили о том, как находить силы, когда в жизни много ролей и мало времени. Она поделилась практиками, которые помогают вернуться в себя, а мы заботливо собрали эти полезные привычки.
Делитесь в комментариях вашими способами замедлиться и возвращайтесь к этому выпуску подкаста, если пропустили 🤍
Пока все вокруг не превратилось в новогоднюю иллюминацию, давайте прочувствуем эту осень на 100%. За комфорт кожи в любую погоду отвечают средства Etat Pur, так что можно свободно думать про комфорт вокруг 🍁
Что еще хочется успеть до конца сезона? В карточках поделились идеями, а в комментариях ждем ваши — давайте вдохновлять друг друга 🤍
Есть средства, с которых начинается знакомство с брендом. А есть те, к которым возвращаются снова и снова — в NAOS часто это одно и то же.
«Формула Эстетики» и «Бьюти завтрак» собрали для вас именно такие. Легенды трех брендов NAOS — бестселлеры Institut Esthederm, BIODERMA и Etat Pur.
Разыгрываем два набора из трех продуктов — по одному от каждого бренда. Чтобы участвовать:
1. Подпишитесь на каналы «Бьюти завтрак…
Гаджеты знают о нас больше, чем мы сами?
Только просыпаетесь, а приложения уже оповещают, что вы не восстановились, и советуют подышать. И вот утро уже начинается не с кофе, а с тревоги за состояние.
Технологии все глубже проникают в заботу о здоровье, но как понять, какие показатели действительно полезны, а какие только нагнетают?
В новом выпуске подкаста «Бьюти завтрак» говорим с Александром Новожиловым — руково…
Где нас слушать, пока Яндекс не слышит
Уже вторую неделю мы не можем выкладывать новые выпуски «Бьюти завтрака» на Яндекс из-за технических перебоев площадки. Но подкаст все так же живет и выходит по расписанию!
🎧 Все выпуски можно найти здесь — переходите и выбирайте удобную платформу для прослушивания.
Как только Яндекс снова заработает, обязательно вернемся и туда. Спасибо, что вы с нами 🤍
❤26👍10⚡3
Showing the 12 most recent of 32 posts we hold for @beautybreakfast. 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
@beautybreakfast 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
5 November 2026
Most recent edit
5 November 2026
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
💌 Когда пора задумываться о сохранении молодости31%
The shares total 160%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 32 most recent posts we hold, published 23 July 2026 to 7 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 4 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.
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Бьюти завтрак (BIODERMA, Institut Esthederm и Etat Pur)” (@beautybreakfast), 20,090 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/beautybreakfast.
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.