Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 2 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 15 comparable posts for this entry, running 10 June 2026 to 5 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 5, the earliest publisher we hold is @massazh_s_nulya. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_mutual · clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
32 measurements spanning 48 days, net -187. 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 16,531–16,774 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
24 Sept 2026, 21:16
16,559
-13
18 Sept 2026, 20:41
16,572
-7
16 Sept 2026, 14:41
16,579
-4
14 Sept 2026, 20:59
16,583
-7
13 Sept 2026, 04:57
16,590
-5
11 Sept 2026, 04:38
16,595
-4
8 Sept 2026, 08:36
16,599
-13
5 Sept 2026, 05:41
16,612
-11
3 Sept 2026, 09:07
16,623
-9
1 Sept 2026, 03:54
16,632
-8
31 Aug 2026, 04:53
16,640
-2
30 Aug 2026, 03:36
16,642
-1
29 Aug 2026, 00:34
16,643
-9
27 Aug 2026, 23:43
16,652
-7
26 Aug 2026, 20:11
16,659
-4
25 Aug 2026, 23:25
16,663
-4
24 Aug 2026, 23:56
16,667
-6
23 Aug 2026, 08:58
16,673
-8
21 Aug 2026, 21:48
16,681
-7
20 Aug 2026, 17:44
16,688
first reading
Engagement
40 posts held, back to 10 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 53 pages 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 40 posts for this entry, the most recent from 28 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
16m 22s
Average length
2m 03s
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
208 reactions across 34 posts, in 5 distinct kinds. The most used accounts for 82.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
171
82.2%
👍
19
9.13%
🔥
16
7.69%
👏
1
0.481%
😇
1
0.481%
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 34 of the 40 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 208 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 10 June 2026 to 28 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.
Все — в школу! Сентябрьская распродажа с выгодой до 80% началась📚
Сентябрь будто создан для новых знаний. Дети садятся за парты, взрослые покупают ежедневники и тоже обещают себе: «Вот теперь точно начну».
Мы всё-таки школа — поэтому тоже начинаем учебный год. Только вместо химии и математики будем изучать то, что помогает лучше понимать себя и своё тело.
И сейчас для этого особенно подходящий момент.
Наша школа д…
Утром низкое, вечером высокое, на погоду скачет — и каждый раз непонятно, чего ждать от собственного тела.
На Марафоне давления будем разбираться не только с цифрами на тонометре, а с тем, почему именно ваше давление ведёт себя так и что можно делать самостоятельно.
👉 Присоединиться: https://school-chernonog.com/pressure-control
Какие практики я дам на Марафоне давления
Я не хотел создавать ещё один курс, где вам 21 день рассказывают, что такое сердце, сосуды и почему нужно меньше нервничать.
Мне важно другое: чтобы вы делали.
Поэтому на марафоне будет сразу несколько направлений работы.
✅ Мы будем заниматься дыханием и диафрагмой.
✅ Исследовать пульс и учиться лучше замечать реакции сердечно-сосудистой системы.
✅ Работать с напряжением …
Тонометр показывает цифры. А что говорит ваше тело?
Можно знать свой диагноз, регулярно измерять давление и даже помнить привычные показатели.
Но это ещё не значит, что вы понимаете, что именно происходит с вашим телом.
Я, например, могу заметить, когда давление у меня становится выше или ниже, когда меняется пульс, где появляется напряжение и в каких участках тела ухудшается кровообращение.
И у разных людей карт…
Высокое давление: ошибка, которую совершают почти все
Увидели высокую цифру на тонометре — и всё внимание сразу туда: как быстрее её снизить?
Но сама цифра ещё не объясняет, почему тело подняло давление.
На давление могут влиять состояние сосудов, дыхание, напряжение в теле, работа вегетативной нервной системы, стресс, положение отдельных структур.
Поэтому одна из главных ошибок — воспринимать давление как нечто …
Массажисты, а вы умеете работать с давлением клиента?
Когда я начал отдельно собирать материал по сердечно-сосудистой системе, то сам заметил интересную вещь:
оказывается, я очень много работаю с кровообращением и давлением своих клиентов — даже когда не называю это отдельной услугой.
Потому что человек приходит к массажисту не отдельными мышцами.
У него есть дыхание, сосуды, капилляры, напряжённые участки тела, …
Когда вы думаете о давлении, что первое приходит в голову?
❤️ Сердце31%
🩸 Сосуды72%
😕 Просто цифры на тонометре0%
🤷♀️ Вообще не задумывалась6%
The shares total 109%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Аорта и давление: какая между ними связь?
Когда мы говорим о давлении, большинство людей сразу думают о сердце. Но давление — это не только работа сердечной мышцы. Это то, насколько свободно кровь может двигаться по всей сосудистой системе.
И здесь важную роль играет аорта — главный и самый крупный сосуд нашего тела.
Именно через неё кровь выходит из сердца и дальше распределяется по организму.
Интересный момент:…
🎆 Как по волшебству: из учителя в массажисты, которому доверяют самое дорогое
Ещё недавно Ольга Подгорная работала педагогом. Ко мне она пришла не за новой профессией, а за помощью для себя.
Сначала освоила лимфатический массаж, тренировалась бесплатно на знакомых. Получила первые деньги и первых клиентов.
Но люди приходили с разными проблемами, и Ольге хотелось помогать им увереннее. Тогда она прошла курс «ДАК. Зд…
ТОЛЬКО 48 часов на просмотр ЗАПИСИ
⚡️ Запись фееричного занятия, на котором учасникам раскрылись секреты молодости и красоты, доступна!
Для всех,
— у кого не получилось присутствовать на эфире
— у кого прервалась связь
— у кого большая разница во времени
и кто просто хочет еще раз пересмотреть эфир и забрать омолаживающие практики👇
ЗАБИРАЙТЕ ЗАПИСЬ СКОРЕЕ
На занятии разобрали:
— четыре причины, из-за которых лиц…
Практика на модели началась, заходите по ссылке https://zdoroviespiny.getcourse.ru/veb_18082026_vhod
🔥3
Showing the 12 most recent of 40 posts we hold for @praktikumy_ot_stanislava. 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.
Когда вы думаете о давлении, что первое приходит в голову?
❤️ Сердце31%
🩸 Сосуды72%
😕 Просто цифры на тонометре0%
🤷♀️ Вообще не задумывалась6%
The shares total 109%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 40 most recent posts we hold, published 10 June 2026 to 28 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Станислав Черноног | Массаж Онлайн Обучение @massage_somatics · 24,884 Telegram ranks this channel #1 of 75 here — alongside 74 others — read 15 September 2026
Академия Натальи Соколовой @academy_resource · 26,381 Telegram ranks this channel #9 of 86 here — alongside 85 others — read 12 September 2026
Академики Картавенко. Лечение 100 болезней @doktora_kartavenko · 30,531 Telegram ranks this channel #11 of 78 here — alongside 77 others — read 7 September 2026
🍀 Антидоктор Алексей Маматов @mamatovcom · 33,919 Telegram ranks this channel #19 of 85 here — alongside 84 others — read 3 September 2026
Школа Фиделя Субботина @fssru · 21,734 Telegram ranks this channel #21 of 78 here — alongside 77 others — read 22 September 2026
Доктор Артем Пак @drartempark · 45,264 Telegram ranks this channel #25 of 72 here — alongside 71 others — read 27 August 2026
Марина Корпан Официальный канал @korpan · 40,750 Telegram ranks this channel #48 of 84 here — alongside 83 others — read 30 August 2026
Тимофей Кармацкий @karmatsky_timofey · 187,237 Telegram ranks this channel #59 of 94 here — alongside 93 others — read 11 August 2026
Проходим курсы, читаем книги, тренинги и спорт @books_and_trainings · 29,871 Telegram ranks this channel #80 of 90 here — alongside 89 others — read 8 September 2026
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 24 September 2026 — this
entry's latest reading, not the date you are reading this.
“Практикумы от Станислава Чернонога” (@praktikumy_ot_stanislava), 16,559 subscribers as measured 24 September 2026. Telegram Register, tgregister.com/channel/praktikumy_ot_stanislava.
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.