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 97% 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
8 measurements spanning 67 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 344–352 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Oct 2026, 05:30
345
-1
3 Oct 2026, 17:17
346
-2
19 Sept 2026, 02:39
348
+1
31 Aug 2026, 08:53
347
-2
24 Aug 2026, 12:17
349
-1
16 Aug 2026, 01:47
350
-1
8 Aug 2026, 06:47
351
no change
7 Aug 2026, 11:55
351
first reading
Engagement
19 posts held, back to 25 April 2025 — 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 12 December 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
2h 21m
Average length
47m 17s
Measured directly from 3 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
76 reactions across 13 posts, in 7 distinct kinds. The most used accounts for 40.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
31
40.8%
❤
18
23.7%
🔥
17
22.4%
🙏
5
6.58%
👌
2
2.63%
💯
2
2.63%
🤔
1
1.32%
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 76 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 25 April 2025 to 12 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
«Живот как Зеркало Души: Висцерально-Эмоциональное Освобождение»
Этот уникальный метод , кстати мой авторский 😉гармонизирует тело и психику через глубокую работу с животом, который считается центром физического здоровья и хранилищем эмоций.
Философия:
Стрессы и подавленные эмоции вызывают физические зажимы в животе, что, в свою очередь, усугубляет психоэмоциональные проблемы. Метод направлен на разрыв этого замкнут…
Как сохранить отношения ?
В 19:00 разбор в прямом эфире
Заранее скачайте приложение Зум .
Тему выбрали большинством голосов!
Ставьте 👍 , кто точно придет . Записи не будет. Ценность эфира- в присутствии здесь и сейчас.
Увидеть и осознать,
Что и как можно изменить в отношениях
🔥 КАК ЖЕНЩИНА УБИВАЕТ В ТЕБЕ МУЖЧИНУ: ТЫ УЖЕ НА ГРАНИ?
💔 Она пришла как ангел... а осталась как палач. Ты этого не замечаешь, но она уже выгрызает тебя изнутри.
🩸 Как это происходит?
▫️ Ядовитые слова ("Ты неудачник", "Ты ни на что не способен")
▫️ Удушающий контроль (Где? С кем? Почему не онлайн?)
▫️ Публичные казни (Унижения при друзьях: "Он у меня тряпка!")
😱 Ты ещё не понял?
▪️ Ты перестал узнавать себя в зерк…
💔 Проблемы в отношениях после тридцати: почему так сложно?
После 30 лет отношения часто переходят на новый уровень — вместе с новыми вызовами. Карьера, быт, дети (или их отсутствие), разное видение будущего... И кажется, что чем старше мы становимся, тем сложнее договариваться.
Что чаще всего рушит отношения после 30?
🔹 Ожидания vs реальность – если в 20 мы многое прощали "из любви", то после 30 терпения становится…
Мечтаешь о семье, о любящем муже, о детях?
Но отношения раз за разом рушатся, оставляя тебя в холодном одиночестве? 😔
Сколько еще слез ты прольешь в подушку, прежде чем поймешь:
дело не в мужчинах, а в тебе самой.
Ты носишь в себе невидимые раны прошлого, которые отравляют настоящее и будущее. Этот груз детских травм и неуверенности не дает тебе построить настоящую близость
Ты заслуживаешь любви и счастья! 🤗
Перес…
❤4👍3💯2🔥2
Signed Дмитрий Кацейко| Терапевт счастья
Showing the 12 most recent of 19 posts we hold for @Gipnoterapialecenie. 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.
Эфир в воскресенье 19:00.
Что больше всего вас волнует?
Давайте пообщаемся.
Как забыть бывшего?36%
Как сохранить отношения?45%
Как перестать ссориться?18%
Shares as published, totalling 99%. 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 25 April 2025 to 12 December 2025. 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.
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.
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
@Gipnoterapialecenie 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.
@dmitriosteopat named in 3 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 13 October 2026 — this
entry's latest reading, not the date you are reading this.
“Эксперт по отношениям|Дмитрий Кацейко” (@Gipnoterapialecenie), 345 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/Gipnoterapialecenie.
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.
