Telegram RegisterThe public register of Telegram

Channel

EMCскульптор Москва!

@EMSsk4

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

1,708subscribers

+3 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001965455198
TypeChannel
Username@EMSsk4
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/EMSsk4

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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 (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@EMSsk4/290 · this entry21 May 2026, 15:50 UTC@cavitationKT_76/29921 May 2026, 15:50 UTC1.00under a minute
@cavitationKT_76/3052 Jun 2026, 13:34 UTC@EMSsk4/295 · this entry2 Jun 2026, 13:38 UTC1.004 minutes
@cavitationKT_76/3148 Jul 2026, 11:56 UTC@EMSsk4/305 · this entry8 Jul 2026, 11:57 UTC0.9872 seconds
@cavitationKT_76/31825 Jul 2026, 11:49 UTC@EMSsk4/309 · this entry25 Jul 2026, 11:50 UTC0.96under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@cavitationKT_765 (5/5 hand-verifiable sample passed)0.9972 seconds@cavitationKT_76 (32)

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 3 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 21 May 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 @EMSsk4 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, 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

1,7051,7081,706.57 August 2026 — 1,705 subscribers7 August 2026 — 1,705 subscribers8 August 2026 — 1,707 subscribers11 August 2026 — 1,708 subscribers7 August 202611 August 2026
4 measurements spanning 4 days, net +3. 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 1,705–1,708 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 01:471,708+1
8 Aug 2026, 09:381,707+2
7 Aug 2026, 16:031,705no change
7 Aug 2026, 13:441,705first reading

Engagement

20 posts held, back to 20 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.6%
avg views ÷ 1,708 subscribers
Avg views / post
404
5 posts measured
Reaction rate
3.42%
reactions ÷ views · ER floor
Posts in window
5
of 20 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 5 August 2026
Posts held20 (20 May 20265 August 2026)
Views total2,019
Reactions total69
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:03 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
22s
Average length
11s

Measured directly from 2 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

314 reactions across 20 posts, in 21 distinct kinds. The most used accounts for 34.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10934.7%
🔥6621.0%
👍4113.1%
❤‍🔥237.32%
🙏144.46%
custom 543177008040276382572.23%
👏72.23%
🍾61.91%
custom 539988862835885551851.59%
🆒51.59%
🤗51.59%
🥰51.59%
💘41.27%
😱41.27%
30.955%
🦄30.955%
custom 538676691915401604720.637%
😍20.637%
custom 529202950979141039110.318%
😇10.318%
1 further kind10.318%

Custom emoji. 4 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 20 of the 20 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 314reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 20 May 2026 to 5 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
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @EMSsk4. 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 20 most recent posts we hold for this entry, published 20 May 2026 to 5 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.

Recent posts

5 Aug 2026, 11:26 UTC152 views10 reactionsread 7 August 2026

Всем привет 👋🏻 Сегодня хочу рассказать вам про один из самых эффективных комплексов для коррекции фигуры: Криолиполиз + EMSculpt Криолиполиз помогает бороться с локальными жировыми отложениями, а EMSculpt работает над мышцами, делает их более крепкими, подтянутыми и помогает сформировать рельеф. То есть мы в этом случае одновременно работаем и над похудением и над качеством тела 💪🏻 Пишите в личные сообщения ➡️ @EM

4👍2🔥2😎1🆒1

30 Jul 2026, 15:12 UTC402 views15 reactionsread 7 August 2026
Video

🔥Ну что друзья, у меня для вас отличная новость! В студии появился новый аппарат криолиполиза Cryo S 360 ❄️ Честно говоря, я давно хотел перейти на более современное оборудование. И теперь могу предложить вам процедуру на аппарате нового поколения 🙌🏻 Что это значит для вас? ✔️ Более мощное и эффективное воздействие💪🏻 ✔️ Более современные технологии охлаждения 🧊 ✔️ Максимально комфортная процедура ✨ ✔️ И самое главн

🔥8custom 543177008040276382531🦄1custom 52920295097914103911custom 53998886283588555181

27 Jul 2026, 11:49 UTC443 views13 reactionsread 7 August 2026

🤝🏼 Всем привет, я запускаю акцию «Приведи друга»! Если вам нравится результат процедур и атмосфера в студии - поделитесь впечатлениями с друзьями. А я отблагодарю вас обоих 🎁😌 Как это работает? 👤 Ваш друг получает: 🔥 Скидку 10% на свое первое посещение. 😎 А вы получаете: 🔥 Скидку 10% на следующую процедуру после того, как ваш друг придет ко мне на прием. ⚠️ Важно: друг, которого вы приглашаете, не должен ранее п

5❤‍🔥3🤗3🦄1😇1

25 Jul 2026, 11:50 UTC465 views14 reactionsread 7 August 2026
Video

💁🏼‍♂️Парни, хочу рассказать вам сегодня об одной очень полезной процедуре, которая у меня есть — мезотерапии волос 😮 Если вы замечаете, что волосы стали тоньше, начали выпадать сильнее обычного или хотите, чтобы они в принципе выглядели гуще То не стоит ждать, пока проблема станет заметнее Мезотерапия помогает укрепить волосы, улучшить питание кожи головы, активизировать рост новых волос и сделать прическу более гу

🙏5❤‍🔥3🔥321

22 Jul 2026, 10:17 UTC557 views17 reactionsread 7 August 2026
Video message

Video message, posted without a caption

7🥰5custom 53998886283588555183🦄1🆒1

13 Jul 2026, 13:58 UTC893 views20 reactionsread 7 August 2026
Photo

Экспресс-розыгрыш! 🎁 Друзья, всем привет 👋🏻 Сегодня очень хочу порадовать вас розыгрышем с моментальным выигрышем😈 ❗️Конкурс❗️Угадай процедуру и получи подарок 🎁 Я зашифровал одну из наших процедур на фото — ты точно о ней слышал 👀 Угадай, что это за процедура, и получи подарочный сертификат номиналом в 1500₽., на любую процедуру в студии🎁, при новой записи до 31 июля! ✅ Как участвовать: — Расшифруй процедуру с п

12❤‍🔥4🔥4

10 Jul 2026, 11:43 UTC873 views14 reactionsread 7 August 2026
Photo

Хочешь растаять этим летом?😏 Я запускаю специальное предложение на курс липолитиков из 3 процедур. 💥 Всего 18 990₽ вместо 29 700₽ Это всего 6 330₽ за один сеанс вместо 9 900₽. По сути вы получаете последний сеанс в подарок 🎁 Почему именно курс? Потому что липолитики работают эффективнее именно в комплексе. Каждая последующая процедура усиливает результат предыдущей, поэтому курс из 3 сеансов дает гораздо более за

❤‍🔥54🔥4👏1

8 Jul 2026, 11:57 UTC783 views15 reactionsread 7 August 2026
Photo

🔥 Эти фотографии разделяют не 63 кг❗️ Их разделяет один момент, когда я просто за*бался жить в своем теле На фото один и тот же человек, если что Минус 63 кг за 5,5 месяцев🤯 Меня зовут Николай, я специалист студии «Культ Тела» И сейчас будет признание Когда я 2 года назад искал пути похудеть и пришел сюда, как клиент, думал примерно так: «Да это всё херня. Меньше жри, и похудеешь»🤷🏻‍♂️ Спойлер... Я ошибался. Да,

🔥7😱4👏3👍1

5 Jul 2026, 09:17 UTC782 views15 reactionsread 7 August 2026
Photo

Мужчины, ну честно... Я знаю, что для многих самый сложный шаг это не сама лазерная эпиляция, а решиться на нее! Именно поэтому проще прийти к специалисту-мужчине. Знайте, что ко мне вы можете спокойно прийти на эпиляцию любой зоны и чувствовать себя максимально комфортно 🙌🏻 Я прекрасно понимаю физиологию мужского тела, поэтому неловкостей не будет. Моя задача — сделать так, чтобы вы пришли на процедуру с комфор

👍54🆒3💘2🔥1

22 Jun 2026, 08:55 UTC≈1,110 views21 reactions1 Starread 7 August 2026
Video message

Video message, posted without a caption

9🔥6👍5😍1

16 Jun 2026, 14:57 UTC≈1,350 views18 reactionsread 7 August 2026
Photo

⚡️Парни, знаете, какая процедура чаще всего помогает начать путь к более стройной фигуре? 🔥 Кавитация 🔥 Её делают те, кого больше всего раздражают: ▪️ живот; ▪️ бока; ▪️ складки в проблемных зонах. Процедура помогает уменьшать локальные жировые отложения и отлично сочетается с другими методиками коррекции фигуры 🙌🏻 Если вы давно хотите начать путь похудения, то ставьте ➕ в комментариях или напишите мне слово «КАВ

🔥6custom 54317700804027638254❤‍🔥32💘2👍1

12 Jun 2026, 12:23 UTC≈1,210 views15 reactionsread 7 August 2026
Photo

📸 Когда решил заняться собой и не свернул на полпути 💪🏻 Ваша любимая рубрика До/После Показываю результат одного из клиентов👆🏻 Слева - старт⬅️ ➡️Справа - результат комплексной работы над фигурой🔥 Посмотрите, как изменился силуэт: ✔️ Ушли лишние объемы в области живота и боков; ✔️ Талия стала более выраженной; ✔️ Появился рельеф; ✔️ Внешний вид стал в целом более спортивный и подтянутый. Именно поэтому я всегда го

5🔥4👍3custom 53867669191540160472custom 53998886283588555181

Showing the 12 most recent of 20 posts we hold for @EMSsk4. 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.

Citation-graph rank

Citation-graph rank — 404,433 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

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 2 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.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“EMCскульптор Москва!” (@EMSsk4), 1,708 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/EMSsk4.

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.