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 91% 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
42 measurements spanning 72 days, net +7,832. 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 9,717–23,878 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 42
Measured (UTC)
Subscribers
Change
18 Oct 2026, 00:56
20,077
-25
16 Oct 2026, 22:05
20,102
-12
16 Oct 2026, 00:56
20,114
-69
15 Oct 2026, 01:47
20,183
-249
13 Oct 2026, 17:29
20,432
-79
10 Oct 2026, 02:40
20,511
-1,733
6 Oct 2026, 00:17
22,244
+2,725
30 Sept 2026, 14:16
19,519
+7,669
18 Sept 2026, 04:40
11,850
-3
15 Sept 2026, 23:38
11,853
+84
14 Sept 2026, 10:15
11,769
+46
12 Sept 2026, 19:56
11,723
+148
10 Sept 2026, 18:56
11,575
-15
7 Sept 2026, 19:58
11,590
+143
4 Sept 2026, 19:18
11,447
+57
3 Sept 2026, 07:47
11,390
+39
2 Sept 2026, 03:24
11,351
-24
1 Sept 2026, 04:26
11,375
-88
31 Aug 2026, 07:35
11,463
-16
30 Aug 2026, 04:34
11,479
first reading
Engagement
34 posts held, back to 5 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.06%
avg views ÷ 20,077 subscribers
Avg views / post
413
12 posts measured
Reaction rate
11.1%
reactions ÷ views · ER floor
Posts in window
12
of 34 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 8 October 2026
Posts held
34 (5 August 2026 – 8 October 2026)
Views total
4,953
Reactions total
550
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Oct 2026, 11:12 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
6m 12s
Average length
3m 06s
Measured directly from 2 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
1,824 reactions across 34 posts, in 10 distinct kinds. The most used accounts for 50.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
927
50.8%
🥰
291
16.0%
👍
224
12.3%
🔥
161
8.83%
🎉
71
3.89%
👏
63
3.45%
🤩
27
1.48%
😁
26
1.43%
🤔
23
1.26%
🤯
11
0.603%
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 34 of the 34 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 1,824 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 5 August 2026 to 8 October 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.
Хороший макияж начинается с правильно подготовленной кожи!
Не знаете, какой крем использовать в качестве базы под макияж? Всегда выбирайте по потребностям!
Мы рекомендуем:
— Гиалуроновый крем — как универсальный вариант на каждый день. Увлажняет кожу и помогает подготовить её к нанесению макияжа WB | OZON
— Аквафлюид — если хочется максимально лёгкой текстуры в сочетании с SPF. Быстро распределяется и комфортно ощу…
🎟️ Рассказываем, как и обещали, про бесплатные билеты на InterCHARM!
14-17 октября встречаемся на главной бьюти-выставке осени — и хотим увидеться с вами
лично🤍
На стенде 13С2 LIBREDERM вас будут ждать: анализатор кожи, консультации дерматолога, тестирование средств и беспроигрышное колесо с подарками.
А попасть на выставку можно бесплатно — по промокоду EXP1263!
До встречи на InterCHARM ✨
Разбираем, за что все любят нашу энзимную маску с коллагеном🤍
Спойлер: после использования кожа действительно выглядит более свежей, ровной и подтянутой.
И за этот результат в первую очередь отвечает её состав.
▫️Коллаген-эластиновый комплекс помогает удерживать в коже влагу, поэтому после маски она выглядит более напитанной и ухоженной.
▫️Комплекс из 10 пептидов работает уже с упругостью кожи: помогает поддерживат…
Вот то самое беспроигрышное колесо LIBREDERM, от которого в восторге даже роботы✨
А совсем скоро покрутить его сможете и вы — встречаемся на InterCHARM 14-17 октября.
LIBREDERM на ТехноНаучном форуме БРИКС💫
5-6 октября мы стали частью международной площадки, где говорят о будущем, науке, технологиях и образовании.
LIBREDERM представила Екатерина Пасхина, директор по НИОКР. Она рассказала о том, что стоит за современной косметикой, и поговорила с гостями форума об исследованиях, технологиях, доказанной эффективности и пути от научной идеи до готового продукта.
Отдельной темой фор…
Пигментные пятна — это не просто вопрос ровного тона кожи.
Постакне, веснушки, пигментация на руках — всё это связано с избыточной выработкой меланина. Запустить этот процесс могут солнце, воспаления, гормональные изменения и накопленное с возрастом фотоповреждение.
В статье про линейку Dot White мы подробно разобрали:
— почему появляются разные виды пигментных пятен;
— какие активные компоненты используют для их к…
Вчера в рамках ТехноНаучного форума состоялся круглый стол: «Российские женщины-ученые: катализаторы прогресса стран БРИКС».
Поговорили о роли женщин в науке, технологиях и практическом применении научных разработок.
Встреча была организована совместно с премией «Колба», модератором выступила Евгения Еньшина.
Екатерина Пасхина, поделилась своим мнением:
«Женщины-учёные в странах БРИКС сегодня могут стать не тольк…
Любим находить наши баночки в красивых ванных, на прикроватных столиках, рядом с украшениями, кофе и теми самыми маленькими вещами, из которых складывается настроение дня.
Сохраняем в «хочу так же» — и оставляем немного вдохновения вам.
А какой кадр вы сохранили бы себе? 👀
Заговорили о мочевине — разберёмся с ней подробнее.
Почему она так хорошо работает именно с сухой и огрубевшей кожей? Какую концентрацию выбирать для тела, рук и стоп? И почему даже после педикюра сухость и мозоли могут быстро возвращаться?
Обсудили эти и другие вопросы с Алексеем Бессмертным — и, конечно, поговорили о средствах, которые помогают решить проблему на практике.
Нанесли крем после душа, а к вечеру голени снова сухие, локти шершавые, кожа стянутая и местами шелушится?
В такой ситуации дело уже не в том, что коже просто «не хватает крема». При выраженной сухости ей важно не только добавить увлажнения, но и помочь удерживать в ней влагу и восстановить её защитный барьер.
Для этого мы рекомендуем UraMax для тела — 10% мочевины.
WB | OZON | LIBREDERM.RU
Мочевина хорошо работае…
Есть вещи, которым стоит научить ребёнка ещё до того, как рука потянется выдавить первый прыщ.
Прыщ — не катастрофа. И точно не повод рассматривать себя полчаса в зеркале перед школой.
Если дома есть подросток, сохраните ему простое правило:
увидел прыщ → не трогай → не выдавливай → нанеси средство точечно
Почему не выдавливать? Так легко сильнее травмировать кожу, усилить воспаление и получить пятно, которое буде…
❤19🥰13🤯10
Showing the 12 most recent of 34 posts we hold for @librederm. 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.
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
С какими трудностями вы чаще всего сталкиваетесь в уходе за проблемной кожей?
Быстро возвращается жирный блеск29%
Появляются болезненные воспаления - акне39%
Беспокоят чёрные точки и поры51%
После прыщей остаются красные или тёмные пятна - постакне29%
Средства от акне пересушивают кожу22%
Не понимаю, какую систему ухода выбрать33%
The shares total 203%, 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.
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is 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 34 most recent posts we hold, published 5 August 2026 to 8 October 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 24 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 1 October 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.
MIXIT.RU @mixit_mood · 534,853 Telegram ranks this channel #11 of 22 here — alongside 21 others — read 12 August 2026
Food.ru | Рецепты и советы @foodrumedia · 149,157 Telegram ranks this channel #12 of 28 here — alongside 27 others — read 12 August 2026
Планета Здоровья @planetazdorovo · 26,825 Telegram ranks this channel #19 of 25 here — alongside 24 others — read 11 September 2026
FitStars💪 домашние тренировки @FitStarsClub · 104,567 Telegram ranks this channel #19 of 27 here — alongside 26 others — read 16 August 2026
Caudalie Россия @caudalieru · 19,060 Telegram ranks this channel #21 of 25 here — alongside 24 others — read 5 October 2026
Кантата | Чай, кофе, десерты @cantata_ru · 22,380 Telegram ranks this channel #25 of 30 here — alongside 29 others — read 20 September 2026
This channel appears in 6 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 18 October 2026 — this
entry's latest reading, not the date you are reading this.
“Только то, что нужно твоей коже” (@librederm), 20,077 subscribers as measured 18 October 2026. Telegram Register, tgregister.com/channel/librederm.
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.