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 22 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 33 days, net +6. 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 373–381 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Sept 2026, 19:57
380
+2
24 Aug 2026, 03:17
378
+3
16 Aug 2026, 20:14
375
+1
8 Aug 2026, 06:18
374
no change
7 Aug 2026, 19:27
374
first reading
Engagement
16 posts held, back to 24 June 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 16 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 47s
Average length
43s
Measured directly from 8 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
176 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 40.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
71
40.3%
🔥
70
39.8%
🤣
9
5.11%
💋
8
4.55%
🥰
8
4.55%
👍
5
2.84%
💯
2
1.14%
🤔
2
1.14%
🍾
1
0.568%
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 15 of the 16 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 176 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 24 June 2026 to 5 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
10
across the posts below
Posts paid on
1
of 15 we hold a reading for · 7%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doc_ikonnikova. 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 16 most recent posts we hold for this entry, published 24 June 2026 to 5 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.
Новинка! И новая услуга у меня!Капельницы здоровья и красоты с препаратом Лаеннек (Япония).
Лаеннек, это зарегистрированный лекарственный препарат на основе гидролизата плаценты человека, который уже много лет применяется в медицине. Его ценят за комплексное воздействие на организм: поддержку процессов восстановления, печени, иммунной системы и качества кожи.
В составе, более 300 биологически активных компонентов: …
💫Перед каждым курсом инъекционных процедур рекомендую:
1-2 процедуры с интервалом 5 дней.
💫Для чего: если до этого у вас стояли филлеры или другие инъекционные препараты, всегда остаются остаточные элементы от этих препаратов или накопленные токсины, в результате работы наших митохондрий, которые не полностью вывелись через кожу.
💫И в дальнейшем такой массаж активирует лимфатическую и кровеносную систему, и все дал…
Мой принцип: никогда не работаю «одним препаратом на всё». Подход, как у ювелира. Разные инструменты для разных задач. И всегда смотрю на анатомию, возраст, тип кожи и образ жизни пациента.
Потому что красивые глаза, это не про количество уколов. Это про точность, меру и любовь к деталям.
Это не я придумала. Это нейробиология. Мозг гиперболизирует неизвестность, чтобы защитить нас. Но когда вы знаете, что будет, страх уходит.
Я всегда объясняю пациенткам, что именно происходит. И они расслабляются.
Потому что знание - лучшее обезболивающее.
Fotona 4D, это не один конкретный аппарат, а скорее запатентованный протокол омоложения. Такой подход называют «омоложением изнутри», потому что один из этапов начинается в полости рта.
Гликация, это не миф и не страшилка. Это доказанный биохимический процесс, который ускоряет старение кожи наравне с УФ-излучением. И если вы хотите сохранить кожу упругой и сияющей надолго, контроль над сахаром обязателен.
🔬 Что происходит в коже?
1. Коллаген становится жёстким и ломким. После гликации он превращается в ригидный, «засахаренный» каркас, который хуже поддерживает кожу.
2. Эластин теряет способность в…
❤9🔥3💋2
Signed МММ
Showing the 12 most recent of 16 posts we hold for @doc_ikonnikova. 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 9 September 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Иконникова про молодость и здоровье.” (@doc_ikonnikova), 380 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/doc_ikonnikova.
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.
