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 18 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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
15 measurements spanning 60 days, net -1,949. 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 283–3,379 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 18:01
640
-13
26 Sept 2026, 10:17
653
-601
17 Sept 2026, 03:55
1,254
-2
12 Sept 2026, 23:16
1,256
-1
9 Sept 2026, 05:59
1,257
-105
3 Sept 2026, 13:20
1,362
-265
30 Aug 2026, 23:44
1,627
-28
28 Aug 2026, 09:34
1,655
-152
25 Aug 2026, 14:03
1,807
-356
22 Aug 2026, 03:56
2,163
-108
18 Aug 2026, 11:03
2,271
-751
15 Aug 2026, 01:55
3,022
+647
11 Aug 2026, 23:42
2,375
-210
9 Aug 2026, 03:53
2,585
-4
8 Aug 2026, 06:34
2,589
first reading
Engagement
11 posts held, back to 24 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 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 11 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2m 45s
Average length
28s
Measured directly from 6 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
2,667 reactions across 9 posts, in 10 distinct kinds. The most used accounts for 11.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
311
11.7%
❤
304
11.4%
🤩
303
11.4%
🥰
301
11.3%
👍
300
11.2%
💯
300
11.2%
❤🔥
297
11.1%
😍
278
10.4%
🎉
272
10.2%
💘
1
0.037%
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 11 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 2,667 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 24 January 2026 to 7 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
1
across the posts below
Posts paid on
1
of 9 we hold a reading for · 11%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @zhena_professora. 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 11 most recent posts we hold for this entry, published 24 January 2026 to 7 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.
Косметолог - это врач. Важно помнить об этом, планируя уход за собой 🩺
В индустрии красоты существует опасный миф: косметология - это лишь нанесение кремов и проведение поверхностных процедур. Из-за этого многие доверяют свое лицо специалистам без медицинского образования, рискуя не только эстетикой, но и здоровьем.
Давайте разберемся в терминологии:
Эстетист (косметолог-эстетист) - специалист со средним медицинск…
Почему я как врач-косметолог никогда не начинаю консультацию с вопроса «Что будем колоть❓»
Укол в конкретную точку — это лишь инструмент. Если мы просто заполним залом филлером, но оставим спазмированную мышцу или обезвоженную кожу, эффект будет недолгим, а лицо потеряет естественность.
Моя консультация всегда начинается с диагностики:
✅Тип старения и анатомия лица.
✅Качество кожи: тургор, увлажненность, пигментаци…
✅Главный тренд косметологии 2026 года это «тихая роскошь» и здоровье кожи.
❗️❗️❗️Эпоха агрессивной трансформации лица завершена: гипертрофированные «губы-банты», высокие скулы и острые углы нижней челюсти («углы Джоли») официально признаны антитрендами⚠️
✅Вместо погони за объемом акцент сместился на качество тканей:
💧Кожа: вместо плотного макияжа в моде satin skin (сатиновая кожа) с естественным сиянием, работа с …
✅Гид по кислотам для лица: без паники, покраснений и испорченного барьера💧Сохраняй,чтобы не пересушить кожу🙌
Главное не допустить конфликта активов🧴
И безопасно встроить кислоты в свою рутину🫶
Проверь составы своего ухода по списку из памятки📋
Имеются противопоказания. Перед применением необходима консультация специалиста.
Материал носит информационный характер и не заменяет очной консультации врача-косметолога
ULTRACOL: Красота, рожденная внутри. Безопасность, проверенная временем.
В мире эстетической медицины постоянно появляются новые технологии, но далеко не все они могут похвастаться безупречной репутацией и предсказуемым результатом.
ULTRACOL — это не просто очередной тренд, а революция в естественном омоложении, основанная на многолетнем опыте и высочайших стандартах безопасности✅
В основе препарата лежит полидиок…
Всем привет! 🩷
Делюсь маленькой частью кадров с новой съёмки🎬
Мягкий свет, кинематографичное настроение! 🎞️✨
Спокойная, благородная и чуть загадочная весна впереди💗
И это уже будет совсем новая история! 😉🌸
Зима - это не повод для грусти, а время для радости и заботы о себе! 🌨️🧣
Когда за окном холодно и снежно, самое время окружить себя уютом и теплом. Наденьте любимую меховую шапку, заварите горячий чай 🍵 и устройте себе день отдыха. Читайте книги 📚, смотрите любимые фильмы 🎬, общайтесь с близкими 💖 - все это поможет вам почувствовать себя счастливыми и наполненными.
Не забывайте о том, что забота о себе - это не рос…
❤32❤🔥27🔥27👍26💯25🥰24🤩22🎉19
Showing the 11 most recent of 11 posts we hold for @zhena_professora. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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 October 2026 — this
entry's latest reading, not the date you are reading this.
“Шорманова Ирина,врач-дерматолог,косметолог” (@zhena_professora), 640 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/zhena_professora.
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.
