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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

28,168subscribers

-301 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.
CreatedBetween 1 October 2018 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 17 September 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

28,16828,46928,318.57 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 subscribers13 August 2026 — 28,413 subscribers15 August 2026 — 28,438 subscribers16 August 2026 — 28,422 subscribers17 August 2026 — 28,415 subscribers18 August 2026 — 28,407 subscribers19 August 2026 — 28,402 subscribers20 August 2026 — 28,395 subscribers22 August 2026 — 28,379 subscribers23 August 2026 — 28,368 subscribers24 August 2026 — 28,349 subscribers25 August 2026 — 28,346 subscribers26 August 2026 — 28,339 subscribers27 August 2026 — 28,332 subscribers28 August 2026 — 28,322 subscribers29 August 2026 — 28,312 subscribers30 August 2026 — 28,295 subscribers31 August 2026 — 28,291 subscribers1 September 2026 — 28,288 subscribers3 September 2026 — 28,284 subscribers4 September 2026 — 28,281 subscribers6 September 2026 — 28,270 subscribers10 September 2026 — 28,244 subscribers12 September 2026 — 28,214 subscribers14 September 2026 — 28,201 subscribers15 September 2026 — 28,182 subscribers17 September 2026 — 28,168 subscribers7 August 202617 September 2026
34 measurements spanning 41 days, net -301. 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 28,123–28,514 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
17 Sept 2026, 16:3928,168-14
15 Sept 2026, 16:3628,182-19
14 Sept 2026, 00:3728,201-13
12 Sept 2026, 10:1428,214-30
10 Sept 2026, 06:3728,244-26
6 Sept 2026, 21:3728,270-11
4 Sept 2026, 10:5828,281-3
3 Sept 2026, 00:3428,284-4
1 Sept 2026, 19:3528,288-3
31 Aug 2026, 19:5528,291-4
30 Aug 2026, 16:3728,295-17
29 Aug 2026, 18:3628,312-10
28 Aug 2026, 18:1728,322-10
27 Aug 2026, 16:4628,332-7
26 Aug 2026, 19:0428,339-7
25 Aug 2026, 21:1428,346-3
24 Aug 2026, 22:1528,349-19
23 Aug 2026, 11:2728,368-11
22 Aug 2026, 01:2828,379-16
20 Aug 2026, 21:2728,395first reading

Engagement

48 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 62 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.73%
avg views ÷ 28,168 subscribers
Avg views / post
487
26 posts measured
Reaction rate
1.52%
reactions ÷ views · ER floor
Posts in window
26
of 48 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 24 of 26 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 20 September 2026
Posts held48 (27 June 202620 September 2026)
Views total12,663
Reactions total182
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Sept 2026, 08:16 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
822
Links
835

Lifetime counters from Telegram’s own channel header, read 20 September 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
49m 19s
Average length
1m 16s

Measured directly from 39 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

344 reactions across 45 posts, in 4 distinct kinds. The most used accounts for 56.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
19456.4%
👍10530.5%
🔥3811.0%
👏72.03%

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 45 of the 48 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 344 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 48 most recent posts we hold, published 27 June 2026 to 20 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
1
across the posts below
Posts paid on
1
of 48 we hold a reading for · 2%
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 48 most recent posts we hold for this entry, published 27 June 2026 to 20 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.

Recent posts

20 Sept 2026, 05:05 UTC123 viewsread 20 September 2026
Video

Не растирайте сухую кожу Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

19 Sept 2026, 17:05 UTC244 views3 reactionsread 20 September 2026
Video

Сначала — скольжение Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

3

19 Sept 2026, 05:03 UTC325 views3 reactionsread 20 September 2026
Video

Положение рук решает Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

3

18 Sept 2026, 17:04 UTC354 views1 reactionsread 20 September 2026
Video

Жевательная мышца: аккуратно Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

1

18 Sept 2026, 05:03 UTC402 views2 reactionsread 20 September 2026
Video

Пауза после экрана Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

2

17 Sept 2026, 19:03 UTC412 views3 reactionsread 20 September 2026
Video

Попробуйте сейчас вспомнить морщину на лице близкого человека. Получается? Скорее всего, нет. А вот если человек постоянно хмурится, сжимает челюсти, выглядит уставшим или ходит с опущенными уголками губ — это Вы вспомните гораздо легче. И в этом для меня вся разница. Я вообще не считаю, что молодое лицо — это лицо без единой морщинки. Морщина может быть просто следом живой мимики. Гораздо сильнее на восприятие

🔥3

17 Sept 2026, 17:03 UTC369 views1 reactionsread 20 September 2026
Video

Губы: небольшое сопротивление Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

1

17 Sept 2026, 05:00 UTC418 views2 reactionsread 20 September 2026
Video

Красота — не только морщины Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

2

16 Sept 2026, 17:02 UTC419 views1 reactionsread 20 September 2026
Video

Не одна отдельная складка Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

1

16 Sept 2026, 13:37 UTC742 views8 reactionsread 20 September 2026
Video

Что мешает вам работать над своим лицом регулярно? Может быть лень? Или отсутствие понимания, что именно нужно делать, чтобы это приносило результат? Причин может быть много. Я каждый день думаю лишь о том, как сделать так, чтобы вы занимались и были счастливы. Мне очень важен отклик от вас, я вложил в разработку приложения много сил, времени, и средств. Сейчас самая важная стадия: понять, нужно ли вам это. Я хочу

6👍2

16 Sept 2026, 05:00 UTC416 views10 reactionsread 20 September 2026
Video

Шея и движение плеча Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

👍10

15 Sept 2026, 17:01 UTC457 views12 reactionsread 20 September 2026
Video

Часто хмурите лоб? Занимайтесь самомассажем лица со мной по шагам в приложении FACEGURU. Попробуйте бесплатный урок: https://club.facegu.ru/

👍12

Showing the 12 most recent of 48 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.

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 Poll19 voters

Интересно ли вам пройти мастер класс по массажу для близких?

  1. Очень интересно89%
  2. Не особо11%

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 48 most recent posts we hold, published 27 June 2026 to 20 September 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.

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.

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.

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@ershowa_kate · 790
#50
cardiologist_malania
@cardiologist_malania · 1,025
#51
CLOVERMED ЭСТЕТИЧЕСКАЯ МЕДИЦИНА
@clovermed_aesthetic · 1,546
#52
Котокафе МЯУ Екб
@cafe_meow · 1,384
#53
Пермский врач. Юлия Каракулова
@karakulova59 · 835
#54
Здоровье с Романом Романенко
@roman_vremenynet · 8,019
#55
Нутрициолог Туктагулова Светлана
@nutriziolog46 · 1,464
#56
Александр Бобылев Народ
@AleksandrBobylev · 16,743
#57
Нейрографика. Линии жизни.
@Artneurographica · 1,190
#58
Институт междисциплинарной медицины
@dpo_imm · 1,574
#59
Вязание с esthetic_knit | мк
@esthetic_housee · 1,467
#60
Татьяна Фатюхина NSD
@ft577 · 780
#61
Госпитальное дело_делимся опытом
@gospital_rodnye_lybimye · 956
#62
Надежда Якимец - ваш КАРДИОЛОГ
@nadegda_sun · 3,632
#63
Женский психолог Дина Перу
@dina_peru_smm · 1,798
#64
БАД-EXPO
@baa_expo · 3,847
#65
Худеем с Сергеем Обложко
@hudeemsoblozhko · 51,477
#66
Вязание с Knitting_trends🕊️
@collectionmk · 2,724
#67
🎗️ТАМЕРИТ®️«Друзья макрофагов»
@tamerit_macrophage · 3,609
#68
Академия IBLS
@iblsacademy · 1,390
#69
Психолог Анастасия Моторина
@anastasiya_motorina · 1,212
#70
МАКРАМЕ с Рузанной
@ruzanna_arts · 2,451
#71
Школа Креатива
@Risuemru · 3,486
#72
Елена Сосновцева
@sosnovtseva_mps · 2,160
#73
Петровакс Здоровье
@petrovax_pharm · 3,708
#74
ВРАЧИ ИНСТА
@vrachi_insta · 4,845
#75
Междисциплинарная неврология
@interneuro · 3,019
#76
MyDrEnglish
@MyDoctorEnglish · 1,631 (as read 9 September 2026)
#77
Рисуем дома
@risuem_doma · 5,145
#78
Об ИСЦЕЛЕНИИ, ЗДОРОВЬЕ и ДЕНЬГАХ
@eduardgulyaev · 10,318
#79
Мастер Ли Минь | Цигун · Тайцзи · Китайские методы оздоровления
@HeDao_LiMin · 4,295
#80
Doctor.Gastro
@doctorgastro · 6,149
#81
Nummagity • Таролог • Нумеролог • Регрессолог
@nummagity · 490
#82
БОСФОРОВНА КЛУБ
@bosforovna · 58,771
#83
Марыся
@Marisyarus · 1,177
#84
Ольга Pro Туризм
@olgaprotourism · 975
#85
Batin soup
@batinsoupchannel · 7,210
#86
Udine Gallas Group Annunci Lavoro Badante Udine
@badanteudinegallasgroup · 370
#87

Read from Telegram’s recommendation API, most recently 9 September 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.

Антон Алексеев
@Ant0HAlex · 50,649
Telegram ranks this channel #13 of 76 here — alongside 75 others — read 25 August 2026
Гимнастика для лица
@anyclass_faceonline · 469,092
Telegram ranks this channel #26 of 86 here — alongside 85 others — read 10 August 2026
УМНЫЙ ФИТНЕС
@anyclass_smartfit · 24,142
Telegram ranks this channel #29 of 80 here — alongside 79 others — read 16 September 2026
Академия Натальи Соколовой
@academy_resource · 26,455
Telegram ranks this channel #40 of 86 here — alongside 85 others — read 12 September 2026
Худеем с Сергеем Обложко
@hudeemsoblozhko · 51,477
Telegram ranks this channel #68 of 94 here — alongside 93 others — read 25 August 2026

This channel appears in 5 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“RAFAEL FACEGURU” (@rafael_faceguru), 28,168 subscribers as measured 17 September 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.