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 9 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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 (5 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 18 comparable posts for this entry, running 16 July 2026 to 7 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 @masgutov_lifehack. 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.
34 measurements spanning 43 days, net -1,222. 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 144,096–145,684 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 23:39
144,279
-63
16 Sept 2026, 14:39
144,342
-20
14 Sept 2026, 17:56
144,362
-108
13 Sept 2026, 05:21
144,470
-94
11 Sept 2026, 05:59
144,564
-153
8 Sept 2026, 07:21
144,717
-45
5 Sept 2026, 00:57
144,762
-40
3 Sept 2026, 09:23
144,802
-10
2 Sept 2026, 01:04
144,812
-45
1 Sept 2026, 04:09
144,857
-47
31 Aug 2026, 03:44
144,904
-41
30 Aug 2026, 07:04
144,945
-10
29 Aug 2026, 07:47
144,955
-12
28 Aug 2026, 04:12
144,967
-21
27 Aug 2026, 07:13
144,988
-49
26 Aug 2026, 08:26
145,037
-16
25 Aug 2026, 06:34
145,053
-15
24 Aug 2026, 05:06
145,068
-46
22 Aug 2026, 14:36
145,114
-14
21 Aug 2026, 04:58
145,128
first reading
Engagement
64 posts held, back to 16 July 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 101 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.40%
avg views ÷ 144,279 subscribers
Avg views / post
6,350
33 posts measured
Reaction rate
1.24%
reactions ÷ views · ER floor
Posts in window
35
of 64 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 22 September 2026
Posts held
64 (16 July 2026 – 22 September 2026)
Views total
209,550
Reactions total
2,603
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 08:35 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
Photos
≈1,630
Videos
≈699
Links
≈1,580
Lifetime counters from Telegram’s own channel header, read 24 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
19m 06s
Average length
42s
Measured directly from 27 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
5,071 reactions across 62 posts, in 17 distinct kinds. The most used accounts for 40.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,052
40.5%
👍
1,521
30.0%
🔥
1,260
24.8%
👏
66
1.30%
❤🔥
30
0.592%
🏆
29
0.572%
👌
22
0.434%
🤝
17
0.335%
🥰
13
0.256%
✍
11
0.217%
😍
11
0.217%
😈
10
0.197%
🤯
8
0.158%
👀
7
0.138%
🙏
7
0.138%
🎉
6
0.118%
🕊
1
0.02%
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 62 of the 64 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 5,071 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 16 July 2026 to 22 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.
Telegram Stars
Stars received
16
across the posts below
Posts paid on
5
of 62 we hold a reading for · 8%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @rusmasgutov. 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 64 most recent posts we hold for this entry, published 16 July 2026 to 22 September 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.
Advertising
Ad load
12.5%
8 of 64 posts carry an ad marker
Regulatory tokens
8
posts carrying an erid · 8 distinct tokens
Median views · ads
8,160
over 8 measured posts
Median views · rest
7,810
over 54 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2Vtzqupjvwt
1
20 July 2026
20 July 2026
2VtzqvELM6B
1
15 August 2026
15 August 2026
2VtzqvK8S9y
1
14 August 2026
14 August 2026
2VtzqwFZZpX
1
31 August 2026
31 August 2026
2Vtzqwp3neo
1
10 August 2026
10 August 2026
2VtzqwvMyba
1
21 September 2026
21 September 2026
2Vtzqx6DcsL
1
19 July 2026
19 July 2026
2VtzqxPCT4Q
1
14 September 2026
14 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 64 most recent posts we hold, published 16 July 2026 to 22 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
❗️Не хочу, чтобы вы платили мошенникам за доверие ко мне ❗️
Друзья, мы столько внимания уделяем качеству, а кто-то ставит мою фамилию на чужую банку и продаёт её вам как нашу продукцию. Вот это меня по-настоящему возмущает.
Поэтому оставляю прямую ссылку на наш сайт. Заказывайте там: заказ придёт с наших складов, а не от неизвестного продавца.
🛒 Официальный магазин Руслана Масгутова
А если вы уже попались на моше…
Advertisementerid 2VtzqwvMybaForwarded from @doctormasgutovstorePhoto
У нас новинка, которую мы очень ждали. 🔥
В ассортименте нашего магазина появился новый продукт - «Псиллиум + инулин», 210 г.
Клетчатка редко вызывает столько внимания, сколько витамины или популярные нутрицевтики, хотя именно пищевые волокна остаются важной частью полноценного рациона. На практике получать их регулярно получается не у всех, потому что количество овощей, бобовых и цельнозерновых продуктов сильно мен…
Казанцы, 19 сентября встречаемся на лекции 🙌🏼
Почему два человека могут питаться похоже, есть одни и те же продукты, но организм будет реагировать на эту еду по-разному?
Почему у одного человека один рацион почти не отражается на весе, а у другого те же продукты дают совсем другой метаболический ответ? И какую роль во всём этом играет кишечная микробиота?
19 сентября я прочитаю лекцию о том, как сегодня наука смот…
ПЕРЕСТАНЬТЕ ВАРИТЬ КРУПЫ В ПАКЕТИКАХ
Меня каждый раз удивляет сама идея: взять нормальную крупу, поместить её в пластик, опустить этот пластик в кипящую воду и считать, что так стало удобнее. Гречка, рис, булгур прекрасно варятся без полимерной оболочки, а научных причин добавлять к еде ещё один контакт с нагретым пластиком у нас нет.
▌ Пищевой пластик не становится инертным только потому, что он пищевой.
В исслед…
Иногда мы так долго живём с плохим самочувствием, что перестаём замечать, сколько сил оно забирает.
Просыпаетесь уже уставшими, после еды тяжесть, где-то тянет, где-то ноет, энергии едва хватает на привычные дела, настроение скачет, ничего особенно не радует, хочется просто лечь и чтобы никто не трогал, а через время всё это начинает восприниматься как обычный фон жизни.
❝ «Меня правда устраивает так себя чувствова…
Если сегодня в 11:00 вы не успели быть с нами на вебинаре, присоединяйтесь вечером 🙌🏼
Специально для тех, кто пропустил утренний эфир, сегодня в 19:00 проведём повтор вебинара «5 шагов к здоровому пищеварению».
Будет много полезной информации, живого общения, энергии и знаний, которые можно сразу забрать в свою повседневную жизнь.
Поговорим о питании, работе ЖКТ, привычках и первых шагах, с которых можно начать вн…
Спасибо всем, кто сегодня был с нами на эфире! 🙌🏼
Спасибо за ваше внимание, за активность и особенно за вопросы. Их было много, и по ним очень хорошо видно, насколько тема пищеварения и работы ЖКТ актуальна.
Надеюсь, сегодняшний эфир помог вам чуть лучше разобраться в своём организме и понять, на что стоит обратить внимание в первую очередь.
Если после эфира появились новые вопросы - обязательно пишите их в коммен…
🏃 Скорее заходите на вебинар! Сегодня разберём, как восстановить работу ЖКТ и избавиться от дискомфорта без лекарств.
👉 Вход на вебинар
Также вы узнаете:
✅ Как наладить пищеварение, чтобы вернуть лёгкость и комфорт в теле.
✅ 5 простых шагов для восстановления ЖКТ и общего самочувствия.
✅ Почему ваш кишечник может работать не так, как нужно, и что с этим делать.
Поговорим о питании, микробиоме и привычках, которые…
Showing the 12 most recent of 64 posts we hold for @rusmasgutov. 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.
Posts edited after publishing
@rusmasgutov edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
10 August 2026
Most recent edit
10 August 2026
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.
Mentions
Named by 3 registered channels — 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Тимофей Кармацкий @karmatsky_timofey · 187,026 Telegram ranks this channel #1 of 94 here — alongside 93 others — read 11 August 2026
Доктор Шагарова @drshagarova · 106,452 Telegram ranks this channel #3 of 77 here — alongside 76 others — read 18 September 2026
Стань краше с Орловой Дашей - Даша Орлова @vasha_orlovadasha · 38,406 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 31 August 2026
Андрей Галкин - Врач-Остеопат | Нейрокоуч @rulikamed · 44,233 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 28 August 2026
Доктор Зубарева / Doctor Zubareva @doctor_zubareva · 402,924 Telegram ranks this channel #3 of 85 here — alongside 84 others — read 10 August 2026
Я себя НЕ знаю · Здоровье @Ya_Sebya_NE_Znayu · 23,526 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 18 September 2026
🌿Евгений Козлов | Здоровье| Биохакинг @altmedicina · 26,178 Telegram ranks this channel #4 of 90 here — alongside 89 others — read 13 September 2026
Оазис Здоровья @pr_dadali · 87,168 Telegram ranks this channel #4 of 83 here — alongside 82 others — read 17 August 2026
Ivan Krasavin @IvanKrasavin · 24,664 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 15 September 2026
Кардиолог Чайковская @cardiolog_chaykovskaya · 58,129 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 23 August 2026
Станислав Черноног | Массаж Онлайн Обучение @massage_somatics · 24,906 Telegram ranks this channel #8 of 75 here — alongside 74 others — read 15 September 2026
Эндокринолог ❤️ Ольга Павлова 💊 Диабет @dia_dietolog_olga_pavlova · 59,247 Telegram ranks this channel #8 of 91 here — alongside 90 others — read 22 August 2026
Юрий Андреевич Фролов @frolovchannel · 29,968 Telegram ranks this channel #9 of 84 here — alongside 83 others — read 7 September 2026
Доктор Вялов @doctorvyalov · 40,488 Telegram ranks this channel #9 of 88 here — alongside 87 others — read 30 August 2026
Бачинская @bachinskaya_oxana · 69,728 Telegram ranks this channel #9 of 84 here — alongside 83 others — read 20 August 2026
Dr.Elena @ElenaKovchenko · 21,874 Telegram ranks this channel #10 of 94 here — alongside 93 others — read 22 September 2026
Просвещенный @prosveshenniychannel · 26,552 Telegram ranks this channel #10 of 69 here — alongside 68 others — read 12 September 2026
Николай Панасюк | Нутрициология | GetFit @nikolay_panasiuk · 37,284 Telegram ranks this channel #10 of 90 here — alongside 89 others — read 1 September 2026
Панасюк Николай @getfit_nutrition · 70,835 Telegram ranks this channel #10 of 96 here — alongside 95 others — read 20 August 2026
🍀 Антидоктор Алексей Маматов @mamatovcom · 33,919 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 3 September 2026
Екатерина Прохорцева| психология роста сознания @kate_proh · 37,433 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 1 September 2026
Доктор Берг (A+) | кето диета | здоровье | похудение @drBerg · 70,179 Telegram ranks this channel #13 of 91 here — alongside 90 others — read 20 August 2026
Магеря Чистка @mageryachistka · 156,007 Telegram ranks this channel #13 of 85 here — alongside 84 others — read 12 August 2026
Доктор Виктория Орлинская @cardiodokstories · 161,425 Telegram ranks this channel #13 of 88 here — alongside 87 others — read 12 August 2026
This channel appears in 42 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Руслан Масгутов” (@rusmasgutov), 144,279 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/rusmasgutov.
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.