Telegram RegisterThe public register of Telegram

Channel

RAFAEL FACEGURU

@rafael_faceguru

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

28,407subscribers

-62 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-1001401369682
TypeChannel
Username@rafael_faceguru
DescriptionОбучаю делать массаж лица себе и другим. Опыт с 2015 года. Тысячи учеников. 23-25.06 // Бесплатный интенсив + мастер-класс https://academy.facegu.ru/veb_240626?utm_source=tg
CreatedBetween 1 August 2018 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/rafael_faceguru

Topic

Education — 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 97% 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
@rafael_faceguru/2121 · this entry27 Jun 2026, 06:36 UTC@secret_faceguru/113727 Jun 2026, 06:36 UTC1.00under a minute
@rafael_faceguru/2123 · this entry28 Jun 2026, 08:29 UTC@secret_faceguru/113928 Jun 2026, 08:30 UTC1.00under a minute
@secret_faceguru/11412 Jul 2026, 19:24 UTC@rafael_faceguru/2124 · this entry2 Jul 2026, 19:25 UTC1.00under a minute
@secret_faceguru/11427 Jul 2026, 16:56 UTC@rafael_faceguru/2125 · this entry7 Jul 2026, 16:57 UTC1.0072 seconds
@secret_faceguru/11459 Jul 2026, 17:05 UTC@rafael_faceguru/2127 · this entry9 Jul 2026, 17:06 UTC1.00under a minute
@secret_faceguru/114610 Jul 2026, 18:23 UTC@rafael_faceguru/2129 · this entry10 Jul 2026, 18:24 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@secret_faceguru11 (8/8 hand-verifiable sample passed)1.00under a minute@secret_faceguru (74)

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 7 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 13 comparable posts for this entry, running 27 June 2026 to 6 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 @rafael_faceguru — 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

28,40728,46928,4387 August 2026 — 28,469 subscribers7 August 2026 — 28,469 subscribers7 August 2026 — 28,464 subscribers9 August 2026 — 28,450 subscribers9 August 2026 — 28,438 subscribers10 August 2026 — 28,432 subscribers11 August 2026 — 28,416 subscribers12 August 2026 — 28,407 subscribers7 August 202612 August 2026
8 measurements spanning 5 days, net -62. 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 28,398–28,478 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:2728,407-9
11 Aug 2026, 17:0228,416-16
10 Aug 2026, 20:3428,432-6
9 Aug 2026, 22:2128,438-12
9 Aug 2026, 01:3028,450-14
7 Aug 2026, 23:3128,464-5
7 Aug 2026, 08:0028,469no change
7 Aug 2026, 07:5828,469first reading

Engagement

20 posts held, back to 27 June 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
2.29%
avg views ÷ 28,407 subscribers
Avg views / post
650
10 posts measured
Reaction rate
0.334%
reactions ÷ views · ER floor
Posts in window
10
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. It is computed over the 9 of 10 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 11 August 2026
Posts held20 (27 June 202611 August 2026)
Views total6,502
Reactions total20
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 21:51 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
265
Videos
789
Links
806

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. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
17m 31s
Average length
1m 36s

Measured directly from 11 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

102 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 57.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5957.8%
👍2726.5%
🔥1514.7%
👏10.98%

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 19 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 102reactions 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 27 June 2026 to 11 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 @rafael_faceguru. 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 27 June 2026 to 11 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

11 Aug 2026, 08:21 UTC345 views1 reactionsread 12 August 2026

✨ Почему надо посетить конференцию «Доход Мастера» Я много говорю про сервис и детали, которые удерживают клиента. Но на конференции будет гораздо больше — по сути, вся картина того, как из хорошего мастера стать востребованным. Моя тема выступления: «Сервис, после которого клиент говорит: "Теперь я только к вам"» За два дня на конференции практики разберут главные темы для каждого мастера: 🔹Клиенты. Как за 30 мин

👍1

10 Aug 2026, 18:55 UTC399 views3 reactionsread 12 August 2026
Video

Иногда, чтобы понять, подходит ли Вам профессия массажиста, достаточно один раз попробовать поработать руками. Я записал практику, в которой показываю несколько техник массажа лица. Вы сможете повторить их на близком человеке: почувствовать ткани под руками, увидеть реакцию человека и понять, каково Вам находиться уже по другую сторону массажа, в роли мастера. Никакого опыта для этого не требуется. Я подробно показ

3

9 Aug 2026, 07:33 UTC537 views1 reactionsread 12 August 2026

✨ За 5 000 массажей лица я понял одну вещь про клиентов Через мои руки прошло больше 5 000 клиентов. И вот что я заметил: возвращаются не к тем, кто лучше всех владеет техникой. А к тем, рядом с кем клиенту спокойно, понятно и хорошо. Техника — это база, без неё никуда. Но она не удержит. Делайте ставку на то, что окружает сам массаж: как вы встретили, что объяснили, что человек почувствовал до, во время и после проц

1

8 Aug 2026, 15:34 UTC499 views1 reactionsread 12 August 2026
Video message

Video message, posted without a caption

👍1

8 Aug 2026, 15:33 UTC509 viewsread 12 August 2026
Poll

Интересно ли вам пройти мастер класс по массажу для близких?

  1. Очень интересно92%
  2. Не особо8%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

6 Aug 2026, 08:54 UTC689 views2 reactionsread 12 August 2026

✨ Сегодня у клиента огромный выбор. И даже если процедура ему понравилась, он может уйти к другому И далеко не всегда причина в цене или технике. Часто все решают детали. То, как вы выстраиваете общение. Как проводите первую встречу. Что человек чувствует до процедуры, во время и после. Именно из таких мелочей складывается доверие — то, что невозможно заменить ни скидками, ни рекламой. Об этом я расскажу на ежегодно

2

1 Aug 2026, 11:04 UTC955 views6 reactionsread 12 August 2026
Video

Проверьте себя прямо сейчас: Ваши зубы сомкнуты? Во время работы, вождения или просмотра телефона многие незаметно удерживают челюсть в напряжении часами. К вечеру жевательные мышцы перегружаются, а нижняя треть лица может выглядеть тяжелее. Овал становится менее четким, сильнее проявляются носогубные складки и опущенные уголки рта. Я подготовил тест из 10 вопросов, который поможет понять, что сейчас сильнее влияе

6

30 Jul 2026, 17:10 UTC995 views3 reactions1 Starread 12 August 2026
Video

Почему после 45 лицо может резко начать выглядеть старше? Возраст имеет значение, но он далеко не единственная причина. В новом ролике разбираю три главных механизма, которые ускоряют возрастные изменения лица, и объясняю, почему одни методы дают лишь временный эффект, а другие помогают воздействовать на причину. Если хотите понять, какие изменения преобладают именно у Вас, пройдите бесплатный тест. После него Вы пол

3

28 Jul 2026, 17:04 UTC≈1,080 views2 reactionsread 12 August 2026
Photo

Секрет привлекательности Энн Хэтэуэй вряд ли можно свести к двум скрытым косичкам. Да, такая причёска способна визуально собрать лицо. Но внешность человека зависит от состояния кожи, мышц, тканей, осанки, мимических привычек, сна и склонности к отёчности. Поэтому копировать один приём знаменитости бессмысленно, пока Вы не понимаете, что происходит именно с Вашим лицом. У одного человека овал выглядит тяжелее из-за у

2

12 Jul 2026, 06:39 UTC≈1,420 views17 reactionsread 12 August 2026
Video

Попробуйте упражнение из этого ролика. Если по телу побежали мурашки, напишите об этом в комментариях. Мне очень интересно, сколько человек почувствуют этот эффект. И если во время просмотра у Вас появилась мысль: «А смог(ла) бы я стать массажистом лица?», не игнорируйте её. Пройдите диагностику рук. Она поможет понять, насколько эта профессия может подойти именно Вам. ДИАНГОСТИКА

🔥125

10 Jul 2026, 18:24 UTC≈1,240 views15 reactionsread 12 August 2026
Video

Попробуйте упражнение из этого ролика. Если по телу побежали мурашки, напишите об этом в комментариях. Мне очень интересно, сколько человек почувствуют этот эффект. И если во время просмотра у Вас появилась мысль: «А смог(ла) бы я стать массажистом лица?», не игнорируйте её. Пройдите диагностику рук. Она поможет понять, насколько эта профессия может подойти именно Вам. ДИАНГОСТИКА

12👍2👏1

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

@rafael_faceguru 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
9 August 2026
Most recent edit
9 August 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

8 Aug 2026, 15:33 UTCAnonymous Poll12 voters

Интересно ли вам пройти мастер класс по массажу для близких?

  1. Очень интересно92%
  2. Не особо8%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 27 June 2026 to 11 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 223,312 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.

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.

Гимнастика для лица
@anyclass_faceonline · 471,249
Telegram ranks this channel #26 of 86 here — alongside 85 others — read 10 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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.

“RAFAEL FACEGURU” (@rafael_faceguru), 28,407 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/rafael_faceguru.

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.