Telegram RegisterThe public register of Telegram
Telegram profile photo for Пластический хирург | Ксения Авдошенко

Channel

Пластический хирург | Ксения Авдошенко

@Doctor_Avdoshenko

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

5,879subscribers

-58 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001925048719
TypeChannel
Username@Doctor_Avdoshenko
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 live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/Doctor_Avdoshenko

Growth

5,8795,9375,9087 August 2026 — 5,937 subscribers7 August 2026 — 5,937 subscribers8 August 2026 — 5,936 subscribers11 August 2026 — 5,914 subscribers14 August 2026 — 5,906 subscribers17 August 2026 — 5,879 subscribers7 August 202617 August 2026
6 measurements spanning 10 days, net -58. 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 5,870–5,946 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 19:255,879-27
14 Aug 2026, 12:045,906-8
11 Aug 2026, 08:545,914-22
8 Aug 2026, 09:425,936-1
7 Aug 2026, 15:315,937no change
7 Aug 2026, 15:275,937first reading

Engagement

8 posts held, back to 8 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 8 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
16.7%
avg views ÷ 5,879 subscribers
Avg views / post
982
6 posts measured
Reaction rate
3.33%
reactions ÷ views · ER floor
Posts in window
6
of 8 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 10 August 2026
Posts held8 (8 June 202610 August 2026)
Views total5,891
Reactions total196
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:43 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
2m 27s
Average length
25s

Measured directly from 6 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 8 posts, in 8 distinct kinds. The most used accounts for 55.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
17455.4%
🔥7323.2%
👏268.28%
👍165.10%
🥰113.50%
😍82.55%
👌41.27%
🙏20.637%

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 8 of the 8 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 8 most recent posts we hold, published 8 June 2026 to 10 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.

Recent posts

10 Aug 2026, 17:25 UTC459 views62 reactionsread 12 August 2026
Photo

Хочу поделиться одним из моих недавних результатов ⤴️ Для этой пациентки мы подобрали комплексную омолаживающую операцию, которая позволила вернуть лицу свежесть, восстановить утраченные контуры и при этом полностью сохранить индивидуальность. Что было выполнено: ➡️ Верхняя жиросберегающая блефаропластика — убрала нависание век, открыла взгляд, сохранив естественную форму глаз. ➡️ Расширенная нижняя блефаропласти

🔥42👍9😍83

9 Aug 2026, 08:33 UTC≈1,030 views18 reactionsread 12 August 2026
Video

Недавно выступила приглашённым гостем в подкасте врача-косметолога Юрия Мезенцева Обсудили: 〰️ современные критерии омоложения; 〰️ как сегодня сочетаются косметология и пластическая хирургия; 〰️ влияние полимолочной кислоты, Radiesse, нитевого лифтинга и мезонитей; 〰️ в каком возрасте сегодня пациенты обращаются за омолаживающими операциями; 〰️ что важно знать, если вы регулярно посещаете косметолога, но задумы

10🔥6🙏2

6 Aug 2026, 16:02 UTC772 views29 reactionsread 12 August 2026
Photo

📍 На днях выступала с докладом о современном подходе к омоложению лица. Это подход, который я использую в своей практике уже более 10 лет Его суть: добиться долгосрочного и выраженного результата, сохранив при этом естественность, когда окружающие замечают, что вы стали выглядеть моложе и свежее, но не видят явных следов хирургического вмешательства. Спасибо всем, кто пришёл, за интересные вопросы и тёплую встречу

16🥰7👏6

29 Jul 2026, 09:36 UTC≈1,170 views30 reactionsread 12 August 2026
Photo

Помимо съёмок, перевязок, операций и остальной работы, которая обычно остается за кадром, на прошлой неделе успела провести ещё и индивидуальное обучение для пластических хирургов на кадаверном материале. Всегда рада возможности делиться своим опытом! ❤️ Уверена, что развитие нашей профессии начинается именно с обмена знаниями, открытого диалога и постоянного совершенствования! 🎓

22👌4🔥4

24 Jul 2026, 12:19 UTC≈1,350 views29 reactionsread 12 August 2026
Photo

Приглашаю вас на закрытую встречу ❤️ 4 августа я выступлю в закрытом клубе ClubFirst Ladies с лекцией: «От радикальной подтяжки к интеллектуальному омоложению: новая философия хирургии лица. Тихая роскошь современной пластической хирургии». Это тема, которая мне особенно близка. Я убеждена, что сегодня пластическая хирургия — это уже не про изменение внешности. Она про сохранение индивидуальности, естественной кр

27👏2

23 Jul 2026, 15:15 UTC≈1,110 views28 reactionsread 12 August 2026
Video

Последние недели выдались очень насыщенными: много рабочих встреч, новых проектов и интересных событий… На днях, например, были съёмки для одного телеканала, который, уверена, вы все хорошо знаете. Пока не могу раскрывать всех деталей, но уже совсем скоро покажу, как всё прошло, и что мы снимали!

17👍7🥰4

21 Jun 2026, 12:39 UTC≈2,050 views61 reactionsread 12 August 2026
Photo

Сегодня День медицинского работника ❤️ И мне хочется поздравить всех коллег, которые однажды выбрали этот путь и остались ему верны, несмотря ни на что. Я сама хорошо знаю, каким непростым бывает путь в медицине: за каждым врачом стоят годы учёбы, бессонные ночи, огромная ответственность, сложные решения, постоянное обучение и тысячи часов практики… Но при этом медицина остаётся одной из самых гуманных и эмпатичны

51👏10

8 Jun 2026, 16:49 UTC≈2,080 views57 reactionsread 12 August 2026
Video

Video, posted without a caption

28🔥21👏8

Showing the 8 most recent of 8 posts we hold for @Doctor_Avdoshenko. 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.

Mentions

Names

Channels on the register whose handles appear in this channel's posts.

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.

Пластический хирург Николаева Сандара Афанасьевна
@drNikolaevaSandara · 89,786
Telegram ranks this channel #29 of 79 here — alongside 78 others — read 17 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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“Пластический хирург | Ксения Авдошенко” (@Doctor_Avdoshenko), 5,879 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/Doctor_Avdoshenko.

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.