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 21 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
7 measurements spanning 61 days, net -4. 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 467–474 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 11:14
468
-1
26 Sept 2026, 23:58
469
-3
12 Sept 2026, 07:55
472
-1
4 Sept 2026, 19:42
473
+2
22 Aug 2026, 09:44
471
-1
8 Aug 2026, 04:45
472
no change
7 Aug 2026, 16:59
472
first reading
Engagement
19 posts held, back to 23 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 19 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
4m 55s
Average length
59s
Measured directly from 5 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
67 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 50.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
34
50.7%
👍
16
23.9%
❤
7
10.4%
👏
4
5.97%
😱
2
2.99%
🎉
1
1.49%
💯
1
1.49%
😁
1
1.49%
😢
1
1.49%
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 13 of the 19 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 67 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 23 June 2026 to 6 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.
Недавно ко мне обратились родственники довольно возрастной клиентки. Ей 89 лет, она в прошлом терапевт, и продолжает следить за собой. Но недавно сломала бедренную кость. Два месяца лежала в распорке. После этого левая нога стала двигаться неестественно выворотно. Причиной был мышечный дисбаланс и спаечный процесс в повреждённых связках.
За один приём мне удалось восстановить тонус мышц вокруг травмированной зоны. По…
В каком возрасте клиента я могу помочь, а в каком - уже не стоит и пробовать?
На самом деле, все зависит не от возраста, а от причины проблем в теле. Если есть необратимые структурные повреждения на уровне тканей, то функциональная неврология бессильна.
Во всех остальных случаях - можно полностью или частично решить проблему управления работой мышц и даже органов.
Пример - ниже👇
Косолапие "отменили" за один приём!
Работала в Салехарде с мальчиком 9 лет. Основной запрос - подворот левой ноги вовнутрь при ходьбе.
Причиной был мышечный дисбаланс, отсутствовала стабилизация голеностопного сустава из-за нарушения болевого рецептора на пятке. Повреждение произошло в роддоме, при заборе крови из пятки для анализа на генетические заболевания.
Эта проблема есть у большинства детей, которые родились …
Частый запрос на приёме - разница в длине ног.
Когда покупаются брюки - одну штанину приходится подшивать!
При этом анатомически длина костей может быть одинаковая.
Просто одна бедренная кость втянута в полость таза спазмированными мышцами сильнее, чем другая.
При нормализации мышечного тонуса ноги выравниваются.🧍
Меня часто спрашивают, как я справляюсь с высокими и габаритными клиентами.
В этот приезд у меня было несколько таких человек, поэтому решила написать отдельный пост)
На фото Иван, рост 198 см. Справилась на отлично, мышечный тонус восстановили, ушёл тремор в руках и боль в плече.
Вся фишка в том, что когда у клиента есть недостаточный мышечный тонус, который в неврологии называют отсутствием миотатического рефлекс…
Однажды ко мне пришла прекрасная женщина Вера, в состоянии апатии и непонимания, куда жить, чем заниматься. Ничего не радовало, несмотря на внешнее благополучие жизни. Были также запросы по телу, но сегодня не о них.
Мы с Верой работали с эмоциональной сферой, размыкали патологические нейронные связи в части ограничений и запретов, страхов и разрешений себе радоваться жизни.
Через некоторое время проявился результат…
И отзыв после приёма. А главное, во время приёма сразу ушла боль в зоне плеча и лопатки!
👏2
Showing the 12 most recent of 19 posts we hold for @exp_mareseva. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 23 June 2026 to 6 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
“Pro здоровье со Светланой Маресевой, P-DTR Екатеринбург, Москва, Озёрск, кинезио, остеопатия” (@exp_mareseva), 468 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/exp_mareseva.
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.