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 17 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
12 measurements spanning 44 days, net +81. 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 1,606–1,711 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Sept 2026, 03:16
1,699
+8
15 Sept 2026, 04:58
1,691
+3
11 Sept 2026, 18:41
1,688
+7
7 Sept 2026, 12:00
1,681
+42
2 Sept 2026, 05:43
1,639
-3
30 Aug 2026, 05:28
1,642
+9
26 Aug 2026, 21:26
1,633
+14
23 Aug 2026, 11:33
1,619
-3
19 Aug 2026, 14:57
1,622
-5
16 Aug 2026, 21:55
1,627
+2
13 Aug 2026, 15:27
1,625
+7
12 Aug 2026, 20:01
1,618
first reading
Engagement
10 posts held, back to 1 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 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 10 posts for this entry, the most recent from 12 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
41s
Average length
41s
Measured directly from 1 video 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
77 reactions across 9 posts, in 9 distinct kinds. The most used accounts for 36.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
28
36.4%
❤
21
27.3%
🥰
18
23.4%
👍
3
3.90%
😱
2
2.60%
🤩
2
2.60%
custom 5449442513616121857
1
1.30%
👏
1
1.30%
😁
1
1.30%
Custom emoji. One 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 count beside it is 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 9 of the 10 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 77 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 1 August 2026 to 12 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.
Результат спустя всего два визита к главному ведущему врачу Петрухиной Ксении Валерьевне.
Запрос пациентки — более худое лицо, чёткие контуры и гармоничная нижняя треть. Ксения Валерьевна выстроила комплексный план коррекции.
За 2 визита выполнили:
• ботулинотерапию;
• коррекцию препаратом Radiesse;
• контурную пластику филлером на основе гиалуроновой кислоты.
Результат ⤵️
Более очерченный овал, выразительная нижн…
Иногда наши специалисты удивляют нас не только профессиональными результатами 🤍
Наша Дарья Сергеевна Горбатова поставила перед собой новую цель — и взяла свою высоту: 40 км с набором высоты 2000 метров.
Мы каждый день видим её в клинике — врача, за которым стоят знания, точность и огромная ответственность. А за пределами кабинета — человека с такой же силой характера, дисциплиной и умением идти до конца.
Не могли …
Контурная пластика губ — когда результат хочется рассматривать сразу после процедуры 👄
Показываем результат сразу после процедуры ⤵️
Работа главного ведущего врача Петрухиной Ксении Валерьевны.
Главный врач клиники Заец Елена Сергеевна продолжает повышать свою квалификацию.
Елена Сергеевна прошла практическое обучение по ботулинотерапии в концепции Full Face с постановкой руки в школе косметологов University (г. Волгоград) под руководством экспертов Екатерины Васильевны Емельяновой и Ирины Сергеевны Перфиловой.
Концепция Full Face — это современный подход к ботулинотерапии, при котором врач работает не с …
Завтра — День ботулинотерапии в ЭСТЕТИК КЛИНИК 🤍
Ботулинотерапия — не про застывшее лицо и не про изменение внешности. При грамотно подобранной дозировке сохраняется естественная мимика, а лицо выглядит более свежим и отдохнувшим.
Показываем результат работы врача-косметолога, врача-дерматолога Теляубердиной Елены Рафкатовны.
А завтра воспользоваться специальными ценами можно на следующие препараты:
▫️ Диспорт — …
АКЦИИ АВГУСТА
Мы собрали все специальные предложения месяца в одной карусели, чтобы вам было проще выбрать то, что подходит именно вашему запросу.
Внутри:
✨ подарки к процедурам;
✨ специальные дни со скидками;
✨ выгодные цены на любимые процедуры;
✨ предложения для тех, кто планирует курс.
Сохраняйте, чтобы не потерять, и листайте до последнего слайда — там вас ждет бонусная программа «Марафон красоты».
Если не з…
❤6
Showing the 10 most recent of 10 posts we hold for @esjournal. 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
Named by 1 registered channel — 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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“ЭСТЕТИК КЛИНИК | Косметология | Дерматология | Екатеринбург” (@esjournal), 1,699 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/esjournal.
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.