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 93% 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
50 measurements spanning 80 days, net -279. 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 22,923–23,676 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)
Subscribers
Change
26 Oct 2026, 05:57
23,310
-1
25 Oct 2026, 06:20
23,311
-5
24 Oct 2026, 04:47
23,316
-6
23 Oct 2026, 02:27
23,322
-5
22 Oct 2026, 00:17
23,327
-8
20 Oct 2026, 20:59
23,335
-1
19 Oct 2026, 20:49
23,336
-6
18 Oct 2026, 18:58
23,342
-6
17 Oct 2026, 18:17
23,348
-7
16 Oct 2026, 15:29
23,355
-12
15 Oct 2026, 17:44
23,367
+243
14 Oct 2026, 15:38
23,124
+114
13 Oct 2026, 04:31
23,010
-17
9 Oct 2026, 00:40
23,027
-68
4 Oct 2026, 17:20
23,095
-18
26 Sept 2026, 22:00
23,113
-57
19 Sept 2026, 16:01
23,170
-28
17 Sept 2026, 03:20
23,198
-25
15 Sept 2026, 02:18
23,223
-15
13 Sept 2026, 12:16
23,238
first reading
Engagement
24 posts held, back to 14 January 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 94 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
78.6%
avg views ÷ 23,310 subscribers
Avg views / post
18,300
4 posts measured
Reaction rate
1.63%
reactions ÷ views · ER floor
Posts in window
4
of 24 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 24 October 2026
Posts held
24 (14 January 2026 – 24 October 2026)
Views total
73,300
Reactions total
1,195
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 13:39 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 48s
Average length
39s
Measured directly from 18 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
10,848 reactions across 24 posts, in 28 distinct kinds. The most used accounts for 29.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,209
29.6%
👍
1,977
18.2%
🔥
1,642
15.1%
🎉
958
8.83%
😍
834
7.69%
💯
462
4.26%
🥰
337
3.11%
👏
261
2.41%
🤩
247
2.28%
🆒
224
2.06%
❤🔥
176
1.62%
💘
127
1.17%
👀
106
0.977%
🙏
81
0.747%
🤗
56
0.516%
💊
41
0.378%
🍓
19
0.175%
🕊
18
0.166%
👌
17
0.157%
🤔
15
0.138%
8 further kinds
41
0.378%
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 24 of the 24 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 10,848 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 24 most recent posts we hold, published 14 January 2026 to 24 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.
Advertising
Ad load
12.5%
3 of 24 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
21,800
over 3 measured posts
Median views · rest
20,800
over 21 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VtzqvCiEpk
1
16 February 2026
16 February 2026
2VtzqvvM6H2
1
3 October 2026
3 October 2026
5jtCeReNx12oajzeWTxVv9Y
1
23 June 2026
23 June 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 24 most recent posts we hold, published 14 January 2026 to 24 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Интимная гигиена - такая же часть ухода за собой, как крем для лица или средство для тела. Просто говорим мы о ней почему-то намного реже 🤍
Сейчас у меня Intimed с физиологичным pH 4,5-5,0. В составе - молочная кислота для поддержки естественной микрофлоры, пантенол и алоэ вера для увлажнения и комфорта кожи. Формула без мыла, SLS/SLES и парабенов.
После использования нет ощущения сухости и стянутости, а аромат оче…
Минус один пункт из утренних сборов 🤍
Брови я крашу дома гель-краской Studio Professional. В наборе уже есть всё необходимое, сам процесс занимает около 15 минут, а результат получается натуральным и аккуратным.
Формула без аммиака, с касторовым маслом для ухода за волосками. По результатам лабораторных исследований заявлено увеличение плотности волосков на 18%. А окрашивание может держаться до 4 недель на волосках…
Утром так нужно быстро скрыть тёмные круги под глазами, выровнять тон и не тратить полчаса на макияж 😅
Недавно попробовала консилер 3 в 1 LUMI от греческого бренда SEVEN7EEN. Это консилер, корректор и тон в одном средстве.
Средство хорошо маскирует покраснения, помогает скрыть круги под глазами и выравнивает тон. А если распределить по всему лицу, получается красивое покрытие с естественным сиянием ✨
Нашла его на …
У меня шатуш, поэтому между окрашиваниями особое внимание уделяю светлым прядям 🤍 Для поддержания блонда периодически делаю домашнее тонирование.
Использую Studio Jelly Toner - оттеночный блеск-бальзам в оттенке «Куршские дюны». У него гелевая текстура, которая легко распределяется по волосам. Формула без аммиака и перекиси, а за дополнительный уход отвечают комплекс Color’IQ и экстракт розы.
Результат сохраняется …
У меня есть полезная привычка - двигаться утром, вечером, между делами. Это мой способ чувствовать себя лучше.
Но даже при движении тело не всегда меняется. Тогда я вспоминаю: прогресс - это не всегда только про скорость.
Иногда важно дать себе правильную поддержку🫰
У меня есть теория, что работающий уход начинается с ощущений. Когда кожа не просто выглядит ухоженной, а чувствует себя живой и свежей 🌿 В последнее время я в этом убеждаюсь с серией iSeul Faberlic.
Началось всё с умывания. Гель-лед с лёгким холодком - не просто очищение, а настоящее пробуждение. После него кожа будто дышит, никакой стянутости, только свежесть💧
Затем на слегка влажную кожу наношу крем-лед. Невесом…
Мое комбо для сияния и ровного тона лица🫰✨
Сначала наношу бустер-сыворотку с микроиглами и витамином С Vita-Light Reedle Shot 100 VT:
https://market.yandex.ru/cc/9oP4ED?erid=5jtCeReNx12oajzeWTxVv9Y
Она запускает обновление кожи, осветляет ее и дарит коже тот самый ровный и здоровый тон!🧡
Самое крутое, что бустер ещё и усиливает эффект остальных уходовых средств!👍
Закрываю сыворотку укрепляющей эссенцией PDRN Esse…
Showing the 12 most recent of 24 posts we hold for @alinawanila. 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.
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 26 October 2026 — this
entry's latest reading, not the date you are reading this.
“Мне это надо | Алина блог” (@alinawanila), 23,310 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/alinawanila.
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.