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Channel

Руслан Масгутов про Тело

@rusmasgutovmanual

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

15,138subscribers

-120 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002080488431
TypeChannel
Username@rusmasgutovmanual
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/rusmasgutovmanual

Topic

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 86% 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 1 other registered channel. 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)
Posted firstThenOverlapGap
@rusmasgutovmanual/1345 · this entry24 Jul 2026, 08:19 UTC@ZdoroveBezLekarstw/237824 Jul 2026, 08:19 UTC1.00under a minute
@rusmasgutovmanual/1357 · this entry30 Jul 2026, 06:40 UTC@ZdoroveBezLekarstw/238930 Jul 2026, 07:56 UTC1.0076 minutes
@rusmasgutovmanual/1359 · this entry30 Jul 2026, 06:53 UTC@ZdoroveBezLekarstw/239030 Jul 2026, 07:56 UTC1.0064 minutes
@rusmasgutovmanual/1363 · this entry2 Aug 2026, 16:37 UTC@ZdoroveBezLekarstw/23912 Aug 2026, 16:38 UTC1.00under a minute
@rusmasgutovmanual/1365 · this entry5 Aug 2026, 17:15 UTC@ZdoroveBezLekarstw/23955 Aug 2026, 18:40 UTC1.0085 minutes
@rusmasgutovmanual/1349 · this entry24 Jul 2026, 11:00 UTC@ZdoroveBezLekarstw/238224 Jul 2026, 11:01 UTC0.9472 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ZdoroveBezLekarstw7 (7/7 hand-verifiable sample passed)0.9829 minutesthis entry (70)

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 0 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 23 July 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 2, the earliest publisher we hold is @rusmasgutovmanual — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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 1 other registered channel, 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.

Growth

15,13815,26215,2007 August 2026 — 15,258 subscribers8 August 2026 — 15,260 subscribers9 August 2026 — 15,258 subscribers10 August 2026 — 15,260 subscribers11 August 2026 — 15,262 subscribers14 August 2026 — 15,253 subscribers17 August 2026 — 15,252 subscribers19 August 2026 — 15,240 subscribers20 August 2026 — 15,235 subscribers22 August 2026 — 15,219 subscribers23 August 2026 — 15,212 subscribers25 August 2026 — 15,210 subscribers26 August 2026 — 15,208 subscribers27 August 2026 — 15,207 subscribers28 August 2026 — 15,205 subscribers29 August 2026 — 15,210 subscribers30 August 2026 — 15,209 subscribers30 August 2026 — 15,207 subscribers1 September 2026 — 15,202 subscribers2 September 2026 — 15,200 subscribers3 September 2026 — 15,198 subscribers5 September 2026 — 15,190 subscribers8 September 2026 — 15,165 subscribers11 September 2026 — 15,150 subscribers13 September 2026 — 15,147 subscribers14 September 2026 — 15,148 subscribers16 September 2026 — 15,143 subscribers19 September 2026 — 15,138 subscribers7 August 202619 September 2026
28 measurements spanning 43 days, net -120. 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 15,119–15,281 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
19 Sept 2026, 03:3515,138-5
16 Sept 2026, 16:2015,143-5
14 Sept 2026, 18:4115,148+1
13 Sept 2026, 04:5615,147-3
11 Sept 2026, 09:1715,150-15
8 Sept 2026, 14:1915,165-25
5 Sept 2026, 06:0115,190-8
3 Sept 2026, 09:2715,198-2
2 Sept 2026, 02:1315,200-2
1 Sept 2026, 00:3715,202-5
30 Aug 2026, 23:3515,207-2
30 Aug 2026, 00:4315,209-1
29 Aug 2026, 03:3415,210+5
28 Aug 2026, 05:4315,205-2
27 Aug 2026, 04:2915,207-1
26 Aug 2026, 01:2215,208-2
25 Aug 2026, 02:5715,210-2
23 Aug 2026, 21:1415,212-7
22 Aug 2026, 05:4815,219-16
20 Aug 2026, 18:1615,235first reading

Engagement

54 posts held, back to 23 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 52 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.47%
avg views ÷ 15,138 subscribers
Avg views / post
526
6 posts measured
Reaction rate
0.695%
reactions ÷ views · ER floor
Posts in window
6
of 54 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 3 of 6 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 September 2026
Posts held54 (23 July 20261 September 2026)
Views total3,153
Reactions total10
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 10:55 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
3m 26s
Average length
29s

Measured directly from 7 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

46 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 58.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2758.7%
🔥1021.7%
👍715.2%
😁24.35%

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 18 of the 54 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 46 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 54 most recent posts we hold, published 23 July 2026 to 1 September 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.

Recent posts

28 Aug 2026, 17:26 UTC594 views6 reactionsread 3 September 2026

🌟 Звезда под микроскопом: Сергей Бодров Сергея Бодрова помнят почти четверть века. Хотя в Кармадонском ущелье он исчез в 30 лет. Кандидат искусствоведения, актёр без театрального образования, режиссёр, ведущий «Последнего героя». Но миллионы полюбили его за другое. 🎬 Он не старался выглядеть сильным. Говорил спокойно, слушал внимательно и никогда не ставил себя выше собеседника. В одном из интервью Бодров признал

👍51

28 Aug 2026, 17:26 UTC535 viewsread 3 September 2026

🌟 Звезда под микроскопом: Сергей Бодров 🧠 В чём была тихая сила Бодрова и как повторить её всего за одну минуту? Разбираю ниже 👇

27 Aug 2026, 07:06 UTC638 viewsread 3 September 2026

🩺 Доктор, это правда?! Биологический возраст действительно важнее цифры в паспорте? Все чаще в медицине говорят не о том, сколько лет человеку, а о том, в каком состоянии его организм. И вот это мне очень близко. Потому что два человека в 45 лет могут ощущать себя совершенно по-разному. Один тренируется, путешествует, нормально восстанавливается и полон энергии. Другой уже утром просыпается уставшим и собирает цел

27 Aug 2026, 07:05 UTC541 viewsread 3 September 2026
Photo

🩺 Два человека смотрят в паспорт и видят одну цифру - 45. Но один просыпается с энергией, легко восстанавливается и строит планы. Другой уже утром чувствует себя так, будто день закончился. Возраст одинаковый. А тело словно живёт по другому календарю. Сегодня учёные пытаются измерить скорость старения организма с помощью «часов старения». И здесь начинается самое интересное: часть того, что двигает эти часы, связа

24 Aug 2026, 07:58 UTC763 views3 reactionsread 3 September 2026

🌟 Звезда под микроскопом: Памела Андерсон В 2023 году Памела Андерсон пришла на Неделю моды в Париже почти без макияжа. Ей было 56. Вокруг фотографы, дизайнеры, идеально подготовленные лица. А она нанесла увлажняющий крем, высушила волосы без укладки и вышла к камерам. 🪞 «Я не пытаюсь быть самой красивой женщиной в комнате», - объяснила она. И вот это, на мой взгляд, интереснее очередного «секрета молодости». Па

3

24 Aug 2026, 07:58 UTC588 viewsread 3 September 2026

🌟 В 56 лет Памела Андерсон пришла на Неделю моды в Париже почти без макияжа. Вокруг были фотографы, дизайнеры и безупречно подготовленные лица. А она нанесла увлажняющий крем, высушила волосы без укладки и спокойно вышла к камерам. 🪞 «Я не пытаюсь быть самой красивой женщиной в комнате», - сказала Памела. И эта фраза может дать лицу больше, чем очередная дорогая баночка. Хотя уход здесь ни при чём. Что действител

22 Aug 2026, 15:00 UTC790 viewsread 3 September 2026
Photo

Давайте посчитаем спокойно. Один приём у хорошего мануального терапевта стоит 3-5 тысяч рублей. Спина, шея, колени просят не разово, а регулярно. За год легко набегает 150-250 тысяч. И так каждый год заново. А теперь другая математика. Вы осваиваете навык один раз, и он остаётся с вами навсегда. Помогаете не только себе, но и маме, мужу, ребёнку. В семье появляется один человек с руками, который закрывает то, за чт

22 Aug 2026, 12:09 UTC262 viewsread 24 August 2026
Photo

Для тех, кто смотрит на это как на возможную профессию. Елена прошла курс и не просто освоила техники. Она нашла работу и заметно выросла в навыках. Из «просто попробовать» получилось дело. И таких историй много: кто-то помогает близким, а кто-то превращает это в доход и свой график. Медобразование при этом не требуется. Особые условия для участников интенсива ещё действуют, до завтра. Заявка здесь 👇 https://dr-ma

22 Aug 2026, 09:47 UTC259 views1 reactionsread 24 August 2026
Photo

18 лет. Каждый месяц, как по расписанию, к ней приходила мигрень. Плюс постоянная боль в ногах. Она уже смирилась, думала, это просто её крест. А потом попробовала техники. И после первой же процедуры боль в ногах ушла, а мигрень, которая не пропускала ни месяца за 18 лет, не случилась. Я показываю такие отзывы не чтобы удивить, а чтобы вы увидели: тело часто просто ждёт, чтобы ему помогли правильно. Руками. Без но

1

Showing the 12 most recent of 54 posts we hold for @rusmasgutovmanual. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

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.

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.

Руслан Масгутов
@rusmasgutov · 144,279
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 13 August 2026
Антон Алексеев
@Ant0HAlex · 50,649
Telegram ranks this channel #10 of 76 here — alongside 75 others — read 25 August 2026
Станислав Черноног | Массаж Онлайн Обучение
@massage_somatics · 24,906
Telegram ranks this channel #16 of 75 here — alongside 74 others — read 15 September 2026
Перехитри диабет
@perehitridiabet · 45,824
Telegram ranks this channel #46 of 80 here — alongside 79 others — read 27 August 2026
ТЕЙПОЛОГИЯ | Елена Калино
@vip_tape · 30,360
Telegram ranks this channel #64 of 88 here — alongside 87 others — read 7 September 2026
Тимофей Кармацкий
@karmatsky_timofey · 187,026
Telegram ranks this channel #77 of 94 here — alongside 93 others — read 11 August 2026

This channel appears in 6 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“Руслан Масгутов про Тело” (@rusmasgutovmanual), 15,138 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/rusmasgutovmanual.

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.