Telegram RegisterThe public register of Telegram

Channel

Руслан Масгутов

@rusmasgutov

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

145,382subscribers

-119 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001407822375
TypeChannel
Username@rusmasgutov
DescriptionК.м.н., ортопед, врач интегративной медицины, мануальный терапевт Мой магазин полезных добавок и нутрицевтиков с идеальным составом: ruslanmasgutov.com Любые вопросы: https://t.me/ruslanmasgutovstore https://gosuslugi.ru/snet/67a1ddb523097106f3
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/rusmasgutov

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 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)
Posted firstThenOverlapGap
@rusmasgutov/4688 · this entry17 Jul 2026, 16:10 UTC@masgutov_lifehack/68217 Jul 2026, 16:10 UTC1.00under a minute
@masgutov_lifehack/68418 Jul 2026, 17:25 UTC@rusmasgutov/4689 · this entry18 Jul 2026, 17:26 UTC1.00under a minute
@rusmasgutov/4691 · this entry19 Jul 2026, 11:24 UTC@masgutov_lifehack/68519 Jul 2026, 11:25 UTC1.00under a minute
@rusmasgutov/4692 · this entry19 Jul 2026, 19:06 UTC@masgutov_lifehack/68719 Jul 2026, 19:06 UTC1.00under a minute
@masgutov_lifehack/68016 Jul 2026, 17:38 UTC@rusmasgutov/4685 · this entry16 Jul 2026, 17:38 UTC0.97under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@masgutov_lifehack6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (42)

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.

Growth

145,382145,501145,441.57 August 2026 — 145,501 subscribers7 August 2026 — 145,484 subscribers8 August 2026 — 145,446 subscribers9 August 2026 — 145,428 subscribers10 August 2026 — 145,415 subscribers11 August 2026 — 145,393 subscribers12 August 2026 — 145,382 subscribers7 August 202612 August 2026
7 measurements spanning 5 days, net -119. 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 145,364–145,519 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 06:35145,382-11
11 Aug 2026, 08:32145,393-22
10 Aug 2026, 11:02145,415-13
9 Aug 2026, 10:32145,428-18
8 Aug 2026, 12:48145,446-38
7 Aug 2026, 09:46145,484-17
7 Aug 2026, 05:15145,501first reading

Engagement

24 posts held, back to 16 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.55%
avg views ÷ 145,382 subscribers
Avg views / post
8,060
24 posts measured
Reaction rate
0.956%
reactions ÷ views · ER floor
Posts in window
24
of 24 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
WindowRolling 30 days · latest post in window 12 August 2026
Posts held24 (16 July 202612 August 2026)
Views total193,550
Reactions total1,850
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:13 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
1,610
Videos
682
Links
1,560

Lifetime counters from Telegram’s own channel header, read 12 August 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
6m 44s
Average length
40s

Measured directly from 10 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

1,850 reactions across 24 posts, in 14 distinct kinds. The most used accounts for 38.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
70938.3%
🔥52728.5%
👍51727.9%
👏331.78%
👌140.757%
🥰110.595%
❤‍🔥70.378%
😍70.378%
👀60.324%
🤯60.324%
🤝50.27%
🏆30.162%
😈30.162%
🙏20.108%

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 24 of the 24 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 1,850reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 16 July 2026 to 12 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.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 24 we hold a reading for · 8%
Most on one post
1
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 24 most recent posts we hold for this entry, published 16 July 2026 to 12 August 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%
3 of 24 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
7,150
over 3 measured posts
Median views · rest
8,360
over 21 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqupjvwt120 July 202620 July 2026
2Vtzqwp3neo110 August 202610 August 2026
2Vtzqx6DcsL119 July 202619 July 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 24 most recent posts we hold, published 16 July 2026 to 12 August 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.

Recent posts

12 Aug 2026, 09:34 UTC≈2,550 views112 reactionsread 12 August 2026
Photo

🍄 САМЫЙ ВКУСНЫЙ АНТИДЕПРЕССАНТ РАСТЁТ В ЛЕСУ Мы с Саней нашли просто невероятную поляну лисичек. Их было столько, что в какой-то момент включился настоящий азарт: увидел одну, рядом вторая, третья, и уже невозможно остановиться 😁 Собрали отличный урожай. А сегодня утром я их пожарил и просто обалдел. Свежие лисички из леса это невероятно вкусно! Кстати, лисички интересны не только вкусом. В них содержится хитинма

61👍28🔥21❤‍🔥2

11 Aug 2026, 05:41 UTC≈4,500 views147 reactionsread 12 August 2026

Утро началось необычно. Старинный друг, бывший главный невролог Казани Сан Саныч Рогожин, пригласил меня по грибы. По пути мы решили заехать позавтракать на наш московский рынок. И я обалдел. Реально обалдел. Я помню это место с юности, ещё со времён института. Тогда здесь был полный трындец: картонки, на которых продавцы раскладывали кроссовки и трико, толкотня, грязь. Я сам себе брал обувь и спортивный костюм вот

🔥8735👍19👏6

11 Aug 2026, 05:40 UTC≈4,140 views38 reactionsread 12 August 2026
Video message

Video message, posted without a caption

🔥33👏5

10 Aug 2026, 06:39 UTC≈5,070 views37 reactionsread 12 August 2026
Advertisementerid 2Vtzqwp3neoVideo

🔥 НЕДЕЛЯ КОРДИЦЕПСА НАЧАЛАСЬ 🔥 С сегодняшнего дня -15% на весь ассортимент нашего магазина, участвующий в Неделе кордицепса. Кордицепс давно привлекает внимание благодаря связи с физической выносливостью, энергетическим обменом и иммунной системой. В нашем магазине он есть в нескольких формах - отдельно, вместе с ежовиком и в готовых наборах. Поэтому на этой неделе со скидкой можно взять: 🧡 Кордицепс в капсулах 🧡

28👍5❤‍🔥4

7 Aug 2026, 04:07 UTC≈7,270 views120 reactionsread 12 August 2026
Video message

Video message, posted without a caption

🔥74👍3112🏆2😈1

7 Aug 2026, 04:07 UTC≈7,000 views71 reactionsread 12 August 2026

А вы знаете самый лучший ноотроп? Это высоко интенсивная утренняя нагрузка. Включает мозги и тело совершенно бесплатно. Бери, да делай🙌 Вы как потренили с утра?👀

👍5214🔥5

5 Aug 2026, 17:22 UTC≈7,910 views97 reactionsread 12 August 2026
Video

Врач Руслан Масгутов назвал протеиновые коктейли "абсолютным злом" По его словам, они относятся к так называемой ультраобработанной пище, которая негативно влияет на микробиом человека. "Если перефразировать Гиппократа, мы есть то, что мы усваиваем. А усваиваем мы благодаря нашему микробиому. Протеиновые коктейли содержат искусственный белок, консерванты, стабилизаторы, эмульгаторы, сахарозаменители. Это абсолютное

43👍33🔥18🤯2😍1

4 Aug 2026, 15:40 UTC≈8,220 views56 reactionsread 12 August 2026
Forwarded from @doctormasgutovstorePhoto

🧠 Доктор, это правда, что учёные приблизились к возвращению движений при полном параличе? Правда. Но давайте без розовых очков. В Nature Medicine описали случай пациента с полной тетраплегией. Это когда обездвижены и руки, и ноги. Ему вживили двусторонний нейропротез: одна часть считывает сигналы с коры мозга, другая стимулирует спинной мозг. Результат поразительный. Человек смог частично двигать кистью и, что особ

35🔥11👍10

3 Aug 2026, 14:23 UTC≈8,130 views67 reactionsread 12 August 2026
Video

Друзья, новость: теперь мой ИИ-помощник Аика есть и в MAX. Вы просили- я услышал. Она умеет: — разбирать ваши тарелки и подсказывать, как сделать питание сбалансированным; — объяснять анализы простыми словами и подсказывать, к какому врачу идти; — помогать, когда тревожно: короткая сессия или дыхательная практика за 5 минут; — собрать персональный алгоритм дня на основе вашего анамнеза без шаблонов из интернета. Аи

🔥4214👍9👀1🤯1

1 Aug 2026, 13:39 UTC≈10,200 views40 reactions1 Starread 12 August 2026
Video

🩵 Открываем двери в клуб «Код Здоровья» Вступить в клуб можно только в течение трёх дней. После этого набор снова будет закрыт. «Код Здоровья» — это не просто библиотека материалов о здоровье. Это пространство, в котором вы шаг за шагом выстраиваете понятную систему заботы о себе: приводите в порядок питание и сон, возвращаете энергию, работаете с привычками, состоянием тела и нервной системы. Без крайностей, жёс

37👍3

28 Jul 2026, 08:26 UTC≈10,300 views68 reactionsread 12 August 2026

Часто мы думаем: «Чтобы похудеть, нужно просто меньше есть и больше двигаться» Но почему этот совет почти никогда не работает в долгосрочной перспективе? В этом выпуске я разобрал конкретные инструменты, которые помогут вам взять здоровье под контроль: ✅ Забудьте про подсчет калорий. Почему 2000 ккал из сахара и 2000 ккал из качественной еды — это два абсолютно разных тела? ✅ Лайфхак для бодрости. Что делать, если

44👍24

27 Jul 2026, 16:57 UTC≈8,740 views52 reactionsread 12 August 2026
Forwarded from @doctormasgutovstorePhoto

🧠 Искусственный интеллект против живого врача: счёт пока не в пользу машин Nature Medicine признаёт: агентные ИИ-системы круто научились подсказывать диагнозы и даже решать, кого пора в больницу. Но, и это жирное «но», в самостоятельное плавание их никто не выпускает. Слишком мало доказательств, что «рободоктор» не натворит дел. Я, как врач, смотрю на это с улыбкой. Потому что любой опытный клиницист знает: пациент

33👍17🔥2

Showing the 12 most recent of 24 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

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

Citation-graph rank

Citation-graph rank — 10,599 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

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.

Тимофей Кармацкий
@karmatsky_timofey · 186,950
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 11 August 2026
Доктор Зубарева / Doctor Zubareva
@doctor_zubareva · 407,698
Telegram ranks this channel #3 of 85 here — alongside 84 others — read 10 August 2026
Магеря Чистка
@mageryachistka · 157,876
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 12 August 2026
Доктор Виктория Орлинская
@cardiodokstories · 160,300
Telegram ranks this channel #13 of 88 here — alongside 87 others — read 12 August 2026
Алесь Улищенко | Врач-остеопат, канд. мед. наук | Автор фейспластики
@dr_ales · 471,345
Telegram ranks this channel #18 of 94 here — alongside 93 others — read 10 August 2026
MOLODAY
@molodayproduct · 152,097
Telegram ranks this channel #23 of 93 here — alongside 92 others — read 12 August 2026
Эндокринолог Магеря
@magerya · 291,039
Telegram ranks this channel #23 of 86 here — alongside 85 others — read 10 August 2026
Гастроэнтеролог Ольга Помойнецкая
@olga_pomoynetskaya · 255,287
Telegram ranks this channel #26 of 92 here — alongside 91 others — read 10 August 2026
Revitonica
@revitonica_ru · 248,530
Telegram ranks this channel #50 of 83 here — alongside 82 others — read 10 August 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Руслан Масгутов” (@rusmasgutov), 145,382 subscribers as measured 12 August 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.