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Channel

Академия фейспластики и остеопатии

@academy_dr_ales

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

20,957subscribers

-79 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-1001811087274
TypeChannel
Username@academy_dr_ales
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 October 2026
Measurements held49
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/academy_dr_ales

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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 the other topics.

Growth

20,95721,55121,2547 August 2026 — 21,036 subscribers7 August 2026 — 21,036 subscribers8 August 2026 — 21,026 subscribers9 August 2026 — 21,011 subscribers10 August 2026 — 20,997 subscribers11 August 2026 — 21,338 subscribers12 August 2026 — 21,478 subscribers13 August 2026 — 21,510 subscribers14 August 2026 — 21,530 subscribers16 August 2026 — 21,547 subscribers17 August 2026 — 21,546 subscribers18 August 2026 — 21,538 subscribers19 August 2026 — 21,539 subscribers20 August 2026 — 21,526 subscribers21 August 2026 — 21,533 subscribers23 August 2026 — 21,551 subscribers24 August 2026 — 21,547 subscribers25 August 2026 — 21,535 subscribers27 August 2026 — 21,537 subscribers27 August 2026 — 21,526 subscribers28 August 2026 — 21,525 subscribers30 August 2026 — 21,529 subscribers31 August 2026 — 21,513 subscribers1 September 2026 — 21,505 subscribers2 September 2026 — 21,500 subscribers4 September 2026 — 21,488 subscribers6 September 2026 — 21,450 subscribers10 September 2026 — 21,377 subscribers12 September 2026 — 21,354 subscribers14 September 2026 — 21,332 subscribers15 September 2026 — 21,328 subscribers18 September 2026 — 21,303 subscribers29 September 2026 — 21,236 subscribers5 October 2026 — 21,169 subscribers9 October 2026 — 21,127 subscribers13 October 2026 — 21,092 subscribers15 October 2026 — 21,074 subscribers16 October 2026 — 21,063 subscribers17 October 2026 — 21,053 subscribers18 October 2026 — 21,051 subscribers19 October 2026 — 21,039 subscribers20 October 2026 — 21,022 subscribers21 October 2026 — 21,018 subscribers22 October 2026 — 21,008 subscribers23 October 2026 — 21,004 subscribers25 October 2026 — 20,987 subscribers25 October 2026 — 20,975 subscribers26 October 2026 — 20,973 subscribers27 October 2026 — 20,957 subscribers7 August 202627 October 2026
49 measurements spanning 82 days, net -79. 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 20,868–21,640 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
27 Oct 2026, 23:1820,957-16
26 Oct 2026, 23:4720,973-2
25 Oct 2026, 23:4620,975-12
25 Oct 2026, 00:0620,987-17
23 Oct 2026, 22:4521,004-4
22 Oct 2026, 21:0621,008-10
21 Oct 2026, 16:3921,018-4
20 Oct 2026, 14:1921,022-17
19 Oct 2026, 13:4621,039-12
18 Oct 2026, 10:0821,051-2
17 Oct 2026, 07:3421,053-10
16 Oct 2026, 04:0021,063-11
15 Oct 2026, 01:2721,074-18
13 Oct 2026, 17:3021,092-35
9 Oct 2026, 20:1921,127-42
5 Oct 2026, 14:1721,169-67
29 Sept 2026, 22:5621,236-67
18 Sept 2026, 00:3821,303-25
15 Sept 2026, 21:0121,328-4
14 Sept 2026, 03:5621,332first reading

Engagement

56 posts held, back to 24 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 64 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.86%
avg views ÷ 20,957 subscribers
Avg views / post
599
10 posts measured
Reaction rate
1.42%
reactions ÷ views · ER floor
Posts in window
10
of 56 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 9 October 2026
Posts held56 (24 July 2026 – 9 October 2026)
Views total5,994
Reactions total85
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Oct 2026, 19:41 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
1h 17m
Average length
2m 30s

Measured directly from 31 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

578 reactions across 53 posts, in 8 distinct kinds. The most used accounts for 46.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤26946.5%
🔥14625.3%
👍9716.8%
🎉193.29%
😍172.94%
💯122.08%
🙏122.08%
👏61.04%

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 53 of the 56 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 578 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 24 July 2026 to 9 October 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
4
across the posts below
Posts paid on
3
of 55 we hold a reading for · 5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @academy_dr_ales. 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 56 most recent posts we hold for this entry, published 24 July 2026 to 9 October 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
1.79%
1 of 56 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
626
over 1 measured post
Median views · rest
1,010
over 54 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. 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
2VtzqvQcGyJ124 September 202624 September 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 56 most recent posts we hold, published 24 July 2026 to 9 October 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

9 Oct 2026, 15:58 UTC206 views3 reactionsread 9 October 2026

«Я вроде ещё не старая. Почему же выгляжу такой уставшей?» – думает каждая вторая женщина после 35. Каждое утро начинается примерно одинаково. Она подходит к зеркалу и замечает отёки под глазами. Лицо кажется каким-то тяжёлым, овал уже не таким чётким, как раньше. Шея напряжена, плечи будто каменные. «Опять не выспалась? Или это уже возраст? Неужели теперь я всегда буду так выглядеть?» Ей чуть больше 40. У неё раб…

❤2💯1

8 Oct 2026, 15:44 UTC455 views9 reactionsread 9 October 2026
Video

🔥Мы знаем, как будешь стареть именно ты! Проходи бесплатный тест по ссылке: https://avemacademy.pro/test?utm_source=telegram&utm_medium=post_0810&utm_campaign=academy&utm_term=081026&utm_content=test прямо сейчас, чтобы определить свой ти старения и получить рекомендации по уходу 🤗

❤5🔥4

7 Oct 2026, 16:50 UTC563 views9 reactionsread 9 October 2026
Photo

⚡️Пробуете разные методы омоложения, а возраст все равно берет свое: овал становится менее чётким, отёки заметнее, кожа выглядит уставшей. С чего начать? Когда уже пробовали кремы, массаж и упражнения, хочется понять: что подходит именно вам и на что стоит обратить внимание в первую очередь. Возрастные изменения нельзя объяснить одной причиной. В карточках разбираем свежее исследование, в котором учёные обнаружили …

🔥5👏3😍1

6 Oct 2026, 14:26 UTC587 views10 reactionsread 9 October 2026
Video

🎓 Прошёл финальный эфир первого потока обновлённого курса «Алесь-метод». И по вопросам участников особенно хорошо видно, зачем нужен именно комплексный подход к здоровью. Не только лицо и тело, но и то, что происходит внутри организма: возрастные изменения, гормональный фон, самочувствие, питание, профилактика и регулярный контроль здоровья. Поэтому для нового потока (старт 19 октября) добавили ещё две встречи с п…

🔥8🎉1😍1

5 Oct 2026, 16:36 UTC667 views15 reactionsread 9 October 2026
Video

💐 С Днём учителя и Международным днём врача! Сегодня поздравляем людей двух профессий, в которых особенно важны знания, ответственность и желание помогать другим. В Академии среди учеников часто встречаются те, кто когда-то мечтал стать врачом или учителем, но по разным причинам не смог выбрать этот путь. Кто-то пошёл работать сразу после школы; Кому-то пришлось поставить семью и другие обстоятельства на первое ме…

❤8🎉5😍2

2 Oct 2026, 15:00 UTC896 views6 reactionsread 9 October 2026
Video

⚠️19 октября последний шанс поступить на курс по телесной терапии и выучится с нуля Одно из направлений наших курсов — телесно-ориентированная терапия. Это альтернатива обучению остеопатии и мануальной терапии. Если для практики в этих направлениях нужно быть врачом, то телесную терапию можно практиковать даже без мед.образования, потому что это оздоровительная деятельность☝🏻 ВЫБЕРИТЕ НАПРАВЛЕНИЕ⬇️ (каждое стартуе…

👍5❤1

1 Oct 2026, 07:04 UTC843 views4 reactionsread 9 October 2026

⚡️ВЫ РЕШАЕТЕ КАКИМ БУДЕТ НАШ НОВЫЙ ВЕБИНАР Сейчас мы работаем над программой большого практикума с приглашёнными экспертами. Предлагаем вам определить тему эфира. Что сейчас волнует вас больше всего? — Отёки и синяки под глазами, которые никак не хотят уходить? — Овал лица изменился, появились брыли и птоз? — Постоянное напряжение в шее и плечах? — Усталость, плохой сон, нехватка энергии? — Или есть другой вопрос…

👍3❤1

30 Sept 2026, 16:47 UTC768 views11 reactionsread 9 October 2026

Я участвовала в таком марафоне весной! Это просто лучшая идея академии! Я в полном восторге!!!

❤6😍3💯2

30 Sept 2026, 15:00 UTC863 views14 reactionsread 9 October 2026
Photo

🚀А ЧТО ЕСЛИ НАЧАТЬ СЕГОДНЯ? Помните наш весенний марафон «Шаг к преображению»? Мы получили много слов благодарности и поняли главное: когда человек не просто смотрит отдельные техники, а проходит последовательный путь вместе с преподавателями и другими участниками, меняется само отношение к работе с телом. Поэтому 1 раз в 2 месяца мы запускаем закрытый марафон «Путь к преображению» — в который можно зайти уже сейч…

🔥7❤3😍2🙏2

27 Sept 2026, 15:03 UTC448 views8 reactionsread 28 September 2026
Voice message

🎧 Как остаться молодой без инъекций и скальпеля? 🎙 Подкаст: «Как остановить старение лица, если косметология перестала мне помогать?» Виктория Романова, преподаватель Академии фейспластики и остеопатии, раскрывает шокирующую правду: Вы тратите тысячи на уколы и кремы, но лицо все равно «плывет»? Возможно, вы боретесь со следствием, игнорируя истинную причину. Виктория Романова, специалист по естественному омоложен…

🔥6❤1👍1

25 Sept 2026, 15:58 UTC603 views3 reactionsread 28 September 2026
Photo

⁉️ Тренер фейспластики 🆚 специалист фейспластики. Что выбрать? В чем отличие? Вы часто задаете эти вопросы в директ – давайте разберемся ⤵️ 🌿 Что делает тренер? ⠀ Обучает другого человека упражнениям САМОкоррекции. Он показывает технику выполнения упражнений на себе, объясняет механику процесса, дает рекомендации, контролирует процесс. ⠀ Тренер — наставник, который подает клиентам пример. Именно поэтому у тренеров …

❤2👍1

Showing the 12 most recent of 56 posts we hold for @academy_dr_ales. 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

@academy_dr_ales edited 4 posts 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
11 August 2026
Most recent edit
12 August 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

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.

Алесь Улищенко | Врач-остеопат, канд. мед. наук | Автор фейспластики
@dr_ales · 459,319
Telegram ranks this channel #1 of 94 here — alongside 93 others — read 10 August 2026
Андрей Галкин - Врач-Остеопат | Нейрокоуч
@rulikamed · 43,457
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 28 August 2026
Код молодости| Софи Шайн
@facefitnessonline · 109,533
Telegram ranks this channel #11 of 93 here — alongside 92 others — read 15 August 2026
Мария Коновалова - Всё о женском здоровье
@dockonovalovamarija · 63,144
Telegram ranks this channel #12 of 90 here — alongside 89 others — read 21 August 2026
Наталья Наконечная | Молодость лица и тела
@face_gimnastics_nakonechnaya · 90,713
Telegram ranks this channel #16 of 92 here — alongside 91 others — read 16 August 2026
Доктор Артем Пак
@drartempark · 45,236
Telegram ranks this channel #17 of 72 here — alongside 71 others — read 27 August 2026
Revitonica
@revitonica_ru · 262,439
Telegram ranks this channel #18 of 83 here — alongside 82 others — read 10 August 2026
Гимнастика для лица
@anyclass_faceonline · 468,805
Telegram ranks this channel #21 of 86 here — alongside 85 others — read 10 August 2026

This channel appears in 8 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 27 October 2026 — this entry's latest reading, not the date you are reading this.

“Академия фейспластики и остеопатии” (@academy_dr_ales), 20,957 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/academy_dr_ales.

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.