Other / unclassifiable — 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 25 September 2026 and assigned it the closest of 31 fixed categories, at 31% 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
5 measurements spanning 62 days, net -1. 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 167–169 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Oct 2026, 05:38
167
-1
14 Sept 2026, 18:56
168
-1
16 Aug 2026, 18:08
169
+1
8 Aug 2026, 15:31
168
no change
7 Aug 2026, 21:06
168
first reading
Engagement
7 posts held, back to 11 May 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 7 posts for this entry, the most recent from 20 May 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
47s
Average length
24s
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
44 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 40.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
18
40.9%
👍
14
31.8%
💅
5
11.4%
🔥
5
11.4%
❤🔥
2
4.55%
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 7 of the 7 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 44 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 11 May 2026 to 20 May 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.
Массаж Коруги 👱♀️
Коруги — техника массажа родом из Японии, которая воздействует на кости черепа, плечи и ключицы .
С возрастом или из-за зажимов кости смещаются — отсюда асимметрия, отеки и зажатые нервы .
С чем работает:
➕ Смещение лицевых костей и зажимы фасций
➕ Нарушение венозного оттока (застой лимфы в зоне шеи/головы)
➕ Напряжение височно-нижнечелюстного сустава (частая причина головной боли)
Массаж Коруги…
Маникюр и педикюр в 4 руки: новый уровень комфорта в нашем салоне 💅
Теперь запись на маникюр и педикюр можно совместить по времени. Два мастера работают одновременно — вы экономите до 50% времени без потери качества.
Почему это удобно:
— Обе процедуры проходят в одной комфортной зоне.
— Два специалиста синхронизируют движения, не мешая друг другу.
— Вы получаете идеальный результат быстрее.
В работе только професс…
Davines — «Вегетарианское чудо» для ваших волос 🦢
Линейка «Вегетарианское чудо» от Davines — это философия заботы о природе и о себе:
🌱 Biacidic Bond Complex — «клей» для структуры волоса на молекулярном уровне.
🌱 Растительный кератин проникает внутрь, а не просто обволакивает.
🌱 Аромат спа-сада — розмарин, шалфей, базилик и кедр. Пахнет дорогой натуральностью
Результат: волосы напиваются влагой, становятся упруг…
💝💝💝💝💝💝
Массаж с шарами Yamuna — это уникальная методика, которая сочетает в себе элементы массажа и работы с телом.
Преимущества массажа с шарами Yamuna включают:
⭕️Глубокое расслабление: Шары позволяют достичь глубоких слоев мышц, что способствует снятию напряжения и стресса.
⭕️Улучшение кровообращения: Массаж активирует кровоток, что способствует улучшению обмена веществ и восстановлению тканей.
⭕️Коррекция осан…
Друзья, знакомьтесь:
Татьяна — косметолог, к которому записываются за глубокими изменениями🌟
Татьяна решает конкретные задачи под ваш запрос:
🩷Выравнивание тона – без красноты, тусклости и пигментных пятен
🩷Увлажнение – даже для «вечно сухой» кожи
🩷Осветление – свежий, сияющий вид
🩷Омоложение и лифтинг – четкий овал, разглаживание
🩷Уход за жирной и проблемной кожей – матирует, убирает высыпания и следы от них
Особы…
Наша команда подготовила для вас инфографику, что же происходит с кожей, после 30? 🩷
А в салоне Face Class, вам проведут полную диагностики и подготовят персональный протокол для вашего лица ❤️
⚪️ЗАПИСАТЬСЯ ОНЛАЙН
⚪️НАПИСАТЬ НАМ В ТГ
Всегда на связи:
📍 Адрес: Москва, Шелепихинская набережная, 34к4зд8
ЖК Сердце Столицы
📞 +79311113615
👍2❤1💅1
Showing the 7 most recent of 7 posts we hold for @faceclassclub. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@faceclassclub named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@faceclassmsk named in 7 posts, 9 August 2026 – 9 August 2026
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 9 October 2026 — this
entry's latest reading, not the date you are reading this.
“FACE CLASS CLUB” (@faceclassclub), 167 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/faceclassclub.
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.