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 80% 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
58 measurements spanning 93 days, net +383. 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 9,912–10,849 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
7 Nov 2026, 11:59
10,592
+22
6 Nov 2026, 09:40
10,570
+23
5 Nov 2026, 06:40
10,547
+40
4 Nov 2026, 03:59
10,507
+56
3 Nov 2026, 00:20
10,451
+88
1 Nov 2026, 22:47
10,363
-24
31 Oct 2026, 22:58
10,387
-20
30 Oct 2026, 21:30
10,407
-20
29 Oct 2026, 18:58
10,427
-61
28 Oct 2026, 21:09
10,488
-47
27 Oct 2026, 16:49
10,535
-20
26 Oct 2026, 19:41
10,555
-68
25 Oct 2026, 16:25
10,623
-118
24 Oct 2026, 17:38
10,741
+96
23 Oct 2026, 17:06
10,645
+321
22 Oct 2026, 13:56
10,324
+62
21 Oct 2026, 11:00
10,262
+14
20 Oct 2026, 10:05
10,248
+10
19 Oct 2026, 06:55
10,238
+14
18 Oct 2026, 08:08
10,224
first reading
Engagement
37 posts held, back to 26 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 46 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 10,592 subscribers
Avg views / post
1,080
11 posts measured
Reaction rate
8.11%
reactions ÷ views · ER floor
Posts in window
11
of 37 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 6 November 2026
Posts held
37 (26 July 2026 – 6 November 2026)
Views total
11,856
Reactions total
961
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 08:56 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
14s
Average length
5s
Measured directly from 3 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
2,917 reactions across 37 posts, in 22 distinct kinds. The most used accounts for 29.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
848
29.1%
🤣
578
19.8%
🔥
432
14.8%
😍
183
6.27%
😭
161
5.52%
❤🔥
151
5.18%
😁
109
3.74%
💯
108
3.70%
🤝
89
3.05%
🥰
52
1.78%
😱
45
1.54%
💅
36
1.23%
💘
34
1.17%
💋
28
0.96%
😨
16
0.549%
👍
15
0.514%
🙏
12
0.411%
😈
9
0.309%
🎉
5
0.171%
🤩
3
0.103%
2 further kinds
3
0.103%
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 37 of the 37 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 2,917 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 26 July 2026 to 6 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 11 posts held from the last 30 days (9.09%) 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).
Неплохой был спрей, из разряда тех хороших парней, про которых и сказать-то особо нечего: ну, ходил на работу, ну, разогревал обед в контейнере, ну, любил жизнь.
Однако глобальных претензий нет: по ощущениям, неплохо смягчал волосы, убирал пушистость, придавал блеск.
У меня бывали и более бесполезные спреи, а от этого был виден хоть какой-то эффект. Но, как вы понимаете, без повтора 😁
Ну понравилась мне эта сыворотка Medicube с моднейшими EGF и NAD, что скрывать!
Очень долго не могла к ней подступиться из-за возвращения прыщей, но на наружные ретиноиды она залетела, как родная, поскольку работает на смягчение и восстановление кожи.
На ночь, да под крем… 😇 Кожа от такого просто счастлива, и наутро я просыпаюсь с нежным лицом, по которому как будто даже не катали металлические зубцы, как обычно.
…
Штука в уходе, которую я так и не поняла.
Многоразовая салфетка для умывания в целом не вызывает у меня сомнений как концепт. Как концепт мне это показалось даже прикольным.
Однако когда я интегрировала такую салфетку от MaSheri в уход, я так и не смогла с ней подружиться по нескольким причинам.
🤍 Первая, самая очевидная — даже достаточно нежная салфетка (моя типа из муслина) на данный момент при умывании всё равн…
Вооружившись конфетным мейком, залетела на нашу коллаборацию с кофейней Ü, которая теперь у меня одна из самых любимых… Сами угадайте, почему 🤣
Смотреть все визуалы этой истории без поросячьего визга я не могу! 👻
Коллаба охватила Москву, Екатеринбург и Уфу, в каждом городе свои активности. В Москве за покупку спешиала — напитка «Леденцы кола-лайм» — можно сфоткаться в фотобудке или крутануть колесо фортуны с роскош…
В преддверии Хэллоуина решила откупорить давно забытые воспоминания — и использовала шиммер для ванны из старых запасов.
Раньше я часто пользовалась подобными штуками и писала на них обзоры сюда, но в какой-то момент так выгорела из-за того, что процесс релакса нужно обязательно заснять и зафиналить обзором, что перестала получать от этого удовольствие 😁 ПТСР длился долго, я до сих пор на море бомбочек так и не выло…
Неплохая молочная тканевая маска от FarmStay.
Учитывая, что сейчас мало какие маски вызывают во мне отклик из-за динозавровой шкуры вместо лица, это удивительно: простенькая недорогая маска без горы эссенции быстро убрала чувство стянутости, хорошо напитала и не вызвала воспалений, хотя я после неё даже умываться не стала (всё вошло, как в сухую землю).
Если вы обычная девочка, живущая самой обычной жизнью (в котор…
Какой замечательный охлаждающий шампунь с сосной и центеллой получился у Round Lab!
Я к таким шампуням отношусь очень скептически; всё для волос, что с намёком на мяту, не люблю и обычно спихиваю мужу — и из-за запаха, и потому что высушивается всё лично у меня в хлам. Однако этому шампуню свезло: закончились все запасы, я уезжала в отпуск, нужно было что-то взять с собой, и я рискнула.
Переживала очень, но в итоге…
❤🔥23👍8❤4💅4
Showing the 12 most recent of 37 posts we hold for @blesk_i_nisheta. 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.
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.
Прыщавая Кейта @prishyavayakeita · 23,466 Telegram ranks this channel #2 of 74 here — alongside 73 others — read 16 September 2026
Мать флаконов @smelldate · 31,585 Telegram ranks this channel #22 of 68 here — alongside 67 others — read 5 September 2026
Хайли рекоменд @hirecomend · 18,872 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 1 October 2026
1001 маска @maska1001 · 21,205 Telegram ranks this channel #29 of 81 here — alongside 80 others — read 23 September 2026
Ксения Вебер @xeniaweber · 30,544 Telegram ranks this channel #30 of 73 here — alongside 72 others — read 6 September 2026
Pravdaokosmetologah @pravdaokosmetologah · 19,963 Telegram ranks this channel #31 of 83 here — alongside 82 others — read 29 September 2026
Взгляд химика на крем @Lenaprokosmetiku · 52,163 Telegram ranks this channel #31 of 84 here — alongside 83 others — read 24 August 2026
Крис печатает... @krisistyping · 52,183 Telegram ranks this channel #34 of 87 here — alongside 86 others — read 24 August 2026
Бьюти-телеграммы @beauty_goldman · 21,671 Telegram ranks this channel #38 of 85 here — alongside 84 others — read 22 September 2026
BLACK MORION @blackmorion · 28,541 Telegram ranks this channel #41 of 85 here — alongside 84 others — read 9 September 2026
BEAUTY PLEASURE✨ @beauty_pleasure · 34,539 Telegram ranks this channel #50 of 84 here — alongside 83 others — read 4 September 2026
ANANASSKIN🧴PRO КОЖУ И УХОД @ananasskin · 36,267 Telegram ranks this channel #50 of 80 here — alongside 79 others — read 2 September 2026
Химичу и разбираю косметику @dushechkacosm · 20,823 Telegram ranks this channel #52 of 83 here — alongside 82 others — read 26 September 2026
Болтушка от прыщей @sovaznaet · 23,166 Telegram ranks this channel #57 of 83 here — alongside 82 others — read 18 September 2026
Я вас не слышу! @vasneslyshno · 49,601 Telegram ranks this channel #59 of 80 here — alongside 79 others — read 25 August 2026
ChemCream @chemcream · 19,990 Telegram ranks this channel #60 of 82 here — alongside 81 others — read 29 September 2026
Dasha Lebedeva ✨ макияж/косметика/бьюти/скидки @lebedeva_dari_live · 24,317 Telegram ranks this channel #60 of 86 here — alongside 85 others — read 16 September 2026
BEAUTY HUB @immelybeauty · 22,947 Telegram ranks this channel #68 of 81 here — alongside 80 others — read 18 September 2026
This channel appears in 18 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 7 November 2026 — this
entry's latest reading, not the date you are reading this.
“Блеск и нищета косметоса” (@blesk_i_nisheta), 10,592 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/blesk_i_nisheta.
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.