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 76% 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
33 measurements spanning 43 days, net +72. 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 10,687–10,931 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 13:38
10,883
-4
16 Sept 2026, 23:18
10,887
-5
14 Sept 2026, 23:20
10,892
-9
13 Sept 2026, 07:19
10,901
-2
11 Sept 2026, 12:59
10,903
+5
8 Sept 2026, 17:15
10,898
+156
5 Sept 2026, 07:57
10,742
+27
3 Sept 2026, 14:01
10,715
-16
2 Sept 2026, 09:58
10,731
-5
1 Sept 2026, 09:35
10,736
-4
31 Aug 2026, 11:53
10,740
-12
30 Aug 2026, 12:34
10,752
-6
29 Aug 2026, 12:38
10,758
+1
28 Aug 2026, 11:18
10,757
-1
27 Aug 2026, 09:12
10,758
-16
26 Aug 2026, 11:02
10,774
-15
25 Aug 2026, 13:33
10,789
-1
24 Aug 2026, 12:57
10,790
-7
21 Aug 2026, 14:08
10,797
-5
20 Aug 2026, 11:25
10,802
first reading
Engagement
23 posts held, back to 6 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 38 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.8%
avg views ÷ 10,883 subscribers
Avg views / post
1,610
4 posts measured
Reaction rate
1.81%
reactions ÷ views · ER floor
Posts in window
4
of 23 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. It is computed over the 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 August 2026
Posts held
23 (6 July 2026 – 30 August 2026)
Views total
6,430
Reactions total
92
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Sept 2026, 20:25 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
10m 05s
Average length
1m 07s
Measured directly from 9 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
849 reactions across 22 posts, in 6 distinct kinds. The most used accounts for 76.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5440652820095182800
645
76.0%
custom 5460807954859044712
104
12.2%
custom 5431421651180865371
75
8.83%
custom 5355014749920709843
17
2.00%
custom 5301184327072108961
6
0.707%
custom 5364283993720103057
2
0.236%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 22 of the 23 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 849 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 6 July 2026 to 30 August 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
2
of 23 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hairismywears. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 23 most recent posts we hold for this entry, published 6 July 2026 to 30 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Каждую осень у меня стабильный набор процедур
Первая из них — убрать пигмент.
Вот уже два года я становлюсь далматинцем и мне это совершенно не нравится, ведь я обожаю загорать.
Но вернемся к стабильному набору, или как говорит мой косметолог Катюша Сергеевна – стабильный пакет.
У меня правда ничего нового не добавляется, потому что мне в целом этого достаточно:
1. Пигмент убираю на аппарате Lumeca + добавили инъ…
Я достаточно давно покупаю продукты у ребят на сайте и работаю с SenecaPeople
И ситуация, которая происходит в мире — ужасающая.
Учитывая, что я сама вхожу в предпринимательство — история со складами на меня действует, как сначала окатить кипятком, а потом окунуть в ледяную воду.
Я очень хочу поддержать ребят, а для вас это возможность купить классные продукты с огромными скидками (-70%).
Можно заказать на ozon (…
Девочки, это вещь!
Увидела в сторис у Насти Мироновой 😹
Загуглила и заказала себе. Опробовала. Отдаю вам. Никакая это, блин, не реклама.
Нога красная. Скользит потрясающе (особенно с маслом). Экономия на процедурах 156%
Ноги будут как у лани!
Отдам вам промокодом на ВБ: #1127731630
Девчат, ко мне все чаще приходят не просто на консультацию, а за подарочным сертификатом.
И вы не представляете как мне приятно и ценно ваше доверие. Вы покупаете это близким. И я решила, что пора сделать сертификаты, потому что знаю, как приятно не просто текстом написать, а прислать какую-нибудь карточку.
Поэтому если вы также рассматриваете мою консультацию в качестве подарка — ниже прикладываю карточки сертифик…
Девочки, этот запах — это нечто. Помните листы черной смородины? Вот это 100% попадание.
Какая-то невероятно невесомая вуаль с ферментированными активами, которые работают глубже - это я объясняла про волосы.
Шёлковое сухое масло для тела от SMORODINA:
В основе этого масла ферментированный комплекс масел миндаля, бурачника, льна и оливы. Ферментация делает жирные кислоты более биодоступными — кожа усваивает их глуб…
Лосьон от выпадения HairMeet
Пилинг HairMeet
Двухфазные маски HairMeet
Вообще у меня большой набор, в котором есть сразу все. Его тоже оставляю по ссылке
Еще оставлю вам мой любимый шампунь от Fabao (best of the best)
Промокод на скидку присутствует: NOVIKOVA (-10%)
Делюсь с вами отзывами последними, которые получаю от девочек.
На самом деле их скопилось очень много и я не всегда тут ими делюсь.
Я иногда это вижу, как подтверждение того, что я делаю все правильно, что я делаю на совесть. Но никогда не несу это в массы и не пытаюсь что-то доказать. Потому что сама знаю это.
Но если вдруг вам интересно, дайте знать - я буду делиться чаще 🙏🏻
Энциклопедию баночек можно купить по…
Showing the 12 most recent of 23 posts we hold for @hairismywears. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
Екатерина Гребенко @kategrebenko · 25,053 Telegram ranks this channel #9 of 63 here — alongside 62 others — read 15 September 2026
Парикмахер вещает @push_dish @DianaPushkova · 30,394 Telegram ranks this channel #27 of 70 here — alongside 69 others — read 7 September 2026
Rudovans @rudovans · 38,710 Telegram ranks this channel #51 of 62 here — alongside 61 others — read 5 September 2026
This channel appears in 3 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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Стабильно Аня Новикова” (@hairismywears), 10,883 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/hairismywears.
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.
