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❤9

Channel
@drmelnikov
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cross-platform identity · Cite this entry
25,653subscribers
-47 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001373397493 |
|---|---|
| Type | Channel |
| Username | @drmelnikov |
| Description | 🔞 Меня зовут Доктор Мельников, я пластический и реконструктивный хирург. А это мой канал о неестественной красоте 🤷🏻♂️ У меня только один канал, все остальные - фейк @drmelnikov |
| Created | Between 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 31 |
| Confirmed unchanged | 2 times, most recently 25 September 2026 |
| On Telegram | t.me/drmelnikov |
Health & wellness — 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 98% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 19:39 | 25,653 | -25 |
| 16 Sept 2026, 13:18 | 25,678 | -6 |
| 14 Sept 2026, 18:41 | 25,684 | -9 |
| 11 Sept 2026, 05:18 | 25,693 | -6 |
| 8 Sept 2026, 10:39 | 25,699 | +6 |
| 3 Sept 2026, 12:00 | 25,693 | -9 |
| 1 Sept 2026, 03:04 | 25,702 | -4 |
| 30 Aug 2026, 22:57 | 25,706 | -6 |
| 29 Aug 2026, 20:46 | 25,712 | -3 |
| 28 Aug 2026, 21:45 | 25,715 | -3 |
| 27 Aug 2026, 19:14 | 25,718 | -24 |
| 26 Aug 2026, 17:03 | 25,742 | +1 |
| 25 Aug 2026, 20:11 | 25,741 | +2 |
| 24 Aug 2026, 23:04 | 25,739 | +6 |
| 23 Aug 2026, 07:43 | 25,733 | +9 |
| 21 Aug 2026, 17:55 | 25,724 | -1 |
| 20 Aug 2026, 18:36 | 25,725 | +11 |
| 19 Aug 2026, 20:03 | 25,714 | +2 |
| 18 Aug 2026, 20:26 | 25,712 | +4 |
| 17 Aug 2026, 23:32 | 25,708 | first reading |
20 posts held, back to 11 March 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 71 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 2 October 2026 |
|---|---|
| Posts held | 20 (11 March 2026 – 2 October 2026) |
| Views total | 12,790 |
| Reactions total | 289 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Oct 2026, 16:54 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.
Lifetime counters from Telegram’s own channel header, read 2 October 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.
Measured directly from 5 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.
4,767 reactions across 20 posts, in 6 distinct kinds. The most used accounts for 56.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,689 | 56.4% | |
| 🔥 | 1,280 | 26.9% | |
| 👏 | 470 | 9.86% | |
| 😱 | 254 | 5.33% | |
| 😭 | 50 | 1.05% | |
| 🗿 | 24 | 0.503% |
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 4,767 reactions 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 11 March 2026 to 2 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.
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Розовый забег! 🦩💖 Девушки, 3 октября приглашаем вас пробежать в одной из самых красивых локаций Москвы! 3 км — именно для тебя, если ты никогда не бегала, давно хотела начать или пока считаешь себя новичком 🏃🏻♀️ Университетская площадь 🏃🏻♀️ Бежим 3 км 🏃🏻♀️ Старт в 14:00 *Событие проходит в рамках забега «Моя столица» Забег является благотворительным: часть собранных средств будет направлена на борьбу с раком …
❤15🔥3
Хочется, чтобы первой публикацией в октябре стал именно реконструктивный результат. Здесь несколько неудачных попыток восстановления груди, включая инъекционные методики. Мы зашли, вычистили все и симметризировали грудь.
❤105👏59🔥33
Эпидемия красоты — новая Редколлегия БЕЗФИЛЬТРОВ. За последние годы пластическая хирургия и косметология стали повсеместными, появилась та самая таблетка (укол) для похудения, а люди захотели в жизни выглядеть так, как с фильтрами в соцсетях. Кристина Агилера, Линдси Лохан и другие звезды делают те самые «невидимые» манипуляции и становятся визуально моложе на 20-30 лет. Почему пластика становится нормой уже в 20–25 …
❤49🔥14😭2
Там, где есть сильные страхи, всегда найдутся те, кто захочет на них сыграть. Страх силиконовых имплантов — не исключение. Так безопасны ли на самом деле импланты? Разбирались с одним из лучших специалистов по аутоиммунным реакциям — Дарьей Кусевич. https://youtu.be/bqu7bKEtdS0
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Video, posted without a caption
🔥97❤65👏19
Если вам не нужна подтяжка, это не значит, что у вас простой исходник! Вот лишь несколько ньюансов, с которыми можно столкнуться при «простом» исходнике: У вас может быть • асимметрия по объему железы, • костная асимметрия, • разный уровень субмаммарных складок, • разный угол ребер, • разное положение ареол, • большая ширина грудной клетки • особенности развития молочной железы После операции эти моменты могут визу…
❤188🔥136👏23🗿2
Полную версию интервью можно посмотреть здесь. Это видео — в первую очередь моя попытка разобраться в том, что в голове у человека, принявшего решение так модифицировать свое тело https://youtu.be/Bpkv2wRoAfs
😱77❤36🔥25🗿6
Когда мы решили записать подкаст с Валентиной, тренд уже существовал. Но, кажется, будто сейчас его стало невозможно игнорировать. Никогда: ни в 90-ые, ни в 20-ые, не было такого количества критически истощенных девушек. Мода — модой, но когда она начинает угрожать жизни, нужно что-то делать. Хотя бы разобраться в причинах и говорить об этом!
❤84😱64🔥18🗿12
С какой частотой вообще нужно постить сюда, чтобы и вам не надоедать, и интересно было, и не замусоривать ленту? Два раза в неделю? Три?
❤254🔥34👏27
Но к пациентке вернулась радость и чувство юмора. Она приехала на перевязку, мы посмотрели вместе ее фото до, она посмеялась и рассказала, что подруги раньше называли ее грудь «глаза хамелеона».
❤217🔥72👏21🗿1
Ну. И наше раннее «после». Ребята, это реально очень непросто было исправить. Иногда мне натурально хочется плакать, когда я вижу фронт работ.
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Showing the 12 most recent of 20 posts we hold for @drmelnikov. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
Read from Telegram’s recommendation API, most recently 13 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.
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.
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | Dmitry Melnikov |
|---|---|
| Description | plastic surgeon |
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Доктор Мельников” (@drmelnikov), 25,653 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/drmelnikov.
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.