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 89% 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
35 measurements spanning 43 days, net -511. 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 10,603–12,394 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
18 Sept 2026, 22:18
11,453
+395
16 Sept 2026, 15:01
11,058
+190
14 Sept 2026, 19:38
10,868
-146
13 Sept 2026, 06:18
11,014
-381
11 Sept 2026, 06:18
11,395
-210
8 Sept 2026, 13:17
11,605
-582
5 Sept 2026, 09:01
12,187
+1,175
3 Sept 2026, 14:14
11,012
-194
2 Sept 2026, 07:42
11,206
-100
1 Sept 2026, 05:44
11,306
-76
31 Aug 2026, 02:34
11,382
-204
29 Aug 2026, 23:25
11,586
-110
29 Aug 2026, 02:35
11,696
-305
28 Aug 2026, 05:24
12,001
-80
27 Aug 2026, 04:09
12,081
+254
26 Aug 2026, 03:33
11,827
+376
25 Aug 2026, 01:45
11,451
+641
23 Aug 2026, 15:36
10,810
-511
22 Aug 2026, 03:27
11,321
-168
20 Aug 2026, 18:58
11,489
first reading
Engagement
108 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 44 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.42%
avg views ÷ 11,453 subscribers
Avg views / post
277
29 posts measured
Reaction rate
23.3%
reactions ÷ views · ER floor
Posts in window
31
of 108 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 2 September 2026
Posts held
108 (5 August 2026 – 2 September 2026)
Views total
8,036
Reactions total
1,870
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 01:46 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
11m 19s
Average length
27s
Measured directly from 25 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
6,921 reactions across 102 posts, in 19 distinct kinds. The most used accounts for 41.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,886
41.7%
❤🔥
1,351
19.5%
🔥
1,258
18.2%
👍
488
7.05%
🥰
306
4.42%
💘
197
2.85%
🤩
175
2.53%
🎉
83
1.20%
✍
77
1.11%
💅
30
0.433%
😢
26
0.376%
🤷♀
13
0.188%
💋
8
0.116%
⚡
7
0.101%
🤔
6
0.087%
🤗
6
0.087%
👏
2
0.029%
😭
1
0.014%
🥱
1
0.014%
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 102 of the 108 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 6,921 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 108 most recent posts we hold, published 5 August 2026 to 2 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.
И пятый бренд из десяти, с которым я познакомилась поближе на фестивале Dari Crew - это VT Cosmetics
Самое популярное у них - это Reedle Shot - в прошлом году я и познакомилась с этой сывороткой (взяла 100 и самую простую)
Но у них также популярна линейка Cica с моей любимой центеллой азиатской 🌱
А в этом году завирусился их веганский PDRN.
Что я попробовала сейчас:
🔵гидрогелевую маску с PDRN
превосходно увлажняет …
На коже ни грамма тона, нет консилера, и я очень рада своей коже!
Да, это хороший уход, но и мои эксперименты с курсом мезотерапии тоже дают свои плоды.
На днях 4я процедура курса и врач скажет, хватит или еще одну будем делать.
Но уже сейчас я все чаще и чаще выхожу из дома ненакрашенной. Могу лишь немного корректором в тонкий слой пройтись.
И мне нравится моя кожа. Качество и оттенок. Собираю комплименты 🥰
А пос…
На фестивале Dari Crew наконец-то встретила бренд, который идеально подходит моей сухой и чувствительной коже - Real Barrier 💙
Бренд создан специально для защиты и восстановления барьера кожи. Особенно, если вы сухокожик как я, если вы на ретиноидах, если начали вводить кислоты в уход.
Я открыла баночку с плотным питательным кремом Extreme
для меня это идеальная текстура (впереди холода)
Маска Extreme
такая плотнен…
Бренд, с которым я познакомилась благодаря фестивалю Dari Crew - это Abib.
На корнере нужно было собрать пирамидку из цветных стаканчиков на время. За это дали подарочки.
Название бренда происходит от слова «месяц» и символизирует обновление.
Преверженцы минимализма в уходе. Создатели особенного лекала масок.
И, я впервые попробовала гидрогелевую маску только сейчас - от них)
Пенка для умывания для проблемной кожи…
Продолжаю рассказывать о
K-Beauty фестивале Dari Crew и сегодня поведаю о своем знакомстве с брендом Axis-Y
Я только видела обзоры на него и на полочках в магазине, но ничего не пробовала)
Главная миссия бренда - защищать кожу от вредного воздействия окружающей среды (Climate Inspired Skincare Solutions)
Чистые составы, в одной баночке 1 актив и 6 растительных экстрактов.
На стенде актив был такой: кидаешь фишечку…
Мне на хвосте принесли, а я сразу заказала.
Делаем ставки: приедет 8 сентября?
⚠️ Отменила заказ! Потому что производство Китай, ехать будет из Китая… ждем оригинал…уже давно мы с вами ждем, когда его начнут у нас продавать 😢
upd: мы в комментариях сильно подозреваем подделку 😂
Моей коже понравился уход от российского бренда космецевтики PreventEra 💙
Здесь все продумано и просто для пользователя.
но составы так сложны и длинны, что не буду писать «многобукв»
Скажу лишь одно: нанес и забыл о коже. Я бы так охарактеризовала.
☀️ крем работает над пигментацией, защищает барьер кожи, увлажняет и возвращает упругость.
🌙 крем содержит самый модный ретиноид HPR
которому не нужны шаги (как обычном…
Первый бренд, с которым я познакомилась на K-Beauty фестивале Dari Crew - это TirTir.
Всем известны их красные кушоны-яички)
У меня дважды был такой.
🤫На фестивале мне нашептали, что осенью привезут новые кушоны с супер влажным и естественным покрытием. Это будет серебристая упаковка.
На видео можете видеть, какой подарок я выиграла и небольшой спойлер по наполнению)
Познакомилась с линейкой с матчей и молочной ли…
Showing the 12 most recent of 108 posts we hold for @tatyanabeautycare. 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 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.
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.
Визажист и бьютиголик @rassadinairina · 23,471 Telegram ranks this channel #58 of 78 here — alongside 77 others — read 19 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Вся в помаде! (Татьяна Макарова)” (@tatyanabeautycare), 11,453 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/tatyanabeautycare.
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.