Экзема 👆 Вoспалительное заболевание кожи аллергической природы, характеризующееся кожными высыпаниями в виде папул с серозным содержимым, отёком и зудом поражённых участков кожи.
👍5

Channel
@drbotox1
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry
767subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001790845682 |
|---|---|
| Type | Channel |
| Username | @drbotox1 |
| Description | Красота, косметология, медицина. И немного юмора.😉 Связь:@noencontrado2022 Запись на процедуры: @noencontrado2022 |
| Created | Between 1 December 2021 and 2 June 2022— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/drbotox1 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Aug 2026, 05:46 | 767 | no change |
| 7 Aug 2026, 05:33 | 767 | first reading |
20 posts held, back to 2 June 2022 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 4 July 2022. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 7 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.
146 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 63.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 93 | 63.7% | |
| 😁 | 19 | 13.0% | |
| 😱 | 11 | 7.53% | |
| 🤯 | 5 | 3.42% | |
| 🥰 | 5 | 3.42% | |
| 🤮 | 4 | 2.74% | |
| ❤ | 2 | 1.37% | |
| 👎 | 2 | 1.37% | |
| 👏 | 2 | 1.37% | |
| 🤔 | 2 | 1.37% | |
| 🔥 | 1 | 0.685% |
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 146reactions 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 2 June 2022 to 4 July 2022, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Экзема 👆 Вoспалительное заболевание кожи аллергической природы, характеризующееся кожными высыпаниями в виде папул с серозным содержимым, отёком и зудом поражённых участков кожи.
👍5
Почему синяк приобретает разные цвета? Все эти измения происходят из-за крови. Красный оттенок придаёт свежая кровь, которая находится под кожей. Позже образуется синий оттенок из-за наличия в крови оксигемоглобина. Но оксигемоглобин теряет кислород и превращается в гемоглобин. А при его трансформации в другие элементы образуется зелёный (вердохромоген) и желтый цвет (билирубин)☝🏻
👍11
Photo, posted without a caption
👍11
Почему губы темнее других частей тела? Губы действительно обладают более тёмным и красноватым цветом по сравнению, с окружающей их кожей. И всё дело в том, что губы отличаются по своему строению. В толще этих кожно-мышечных образований находится гораздо больше сосудов — отсюда и розовый цвет. Кроме того, покрывающий их слой кожи очень тонок, почти полупрозрачен. И сами губы по своей сути — это переходная зона межд…
👍7
Увеличение губ 1мл. #докторботокс
👍7
Почему болит голова, когда долго спишь? Вроде бы должно быть наоборот? Однако всё не так просто в нашем организме. Дело в том, что долгий сон подразумевает длительное «передавливание» сосудов, в том числе и тех, которые идут к мозгу. Этому неприятному эффекту долгого сна также способствует тот факт, что в горизонтальном положении отток венозной крови от головы затрудняется. В итоге в мозге задерживается кровь, н…
👍6
По такому же принципу действуют косметологические лифтинговые нити для подтяжки лица. #докторботокс
👍17
Не беспокоит, не болит, не чешется - в этом её коварство. МЕЛАНОМА - королева онкологии. 👸🏿Самая злокачественная опухоль, которая растёт из клеток кожи (меланоцитов). Те самые клетки, которые придают нашей коже красивый коричневатый оттенок и защищают нас от ультрафиолета. Но иногда их рост выходит из-под контроля.☝🏻 #докторботокс
👍3😱3
Пирсинг вылез. 😀
🤮4😱2👍1
Псориаз представляет собой неизлечимое воспалительное заболевание, сопровождающееся образованием чаще всего эритематозных папул и бляшек с четкими границами и серебристыми чешуйками на поверхности. В развитии заболевания играет роль ряд факторов, в т.ч. генетических. Часто встречаются провоцирующие факторы: травма, инфекционные заболевания и прием определенных лекарственных препаратов. Симптомы обычно минимально вы…
👍4👎1👏1🥰1
Когда хотела попу, как у Ким, но что-то пошло не так. А именно - поставлен не тот филлер, не в тот слой. #докторботокс
😁12😱2👍1👎1
Любите кофе? ☕️
Shares as published. No per-option vote count is published by Telegram, so none is shown.
😁2
Showing the 12 most recent of 20 posts we hold for @drbotox1. 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.
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.
Любите кофе? ☕️
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 2 June 2022 to 4 July 2022. 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 — 1,286,764 of 1,478,351entries 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.
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.
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 7 August 2026 — this entry's latest reading, not the date you are reading this.
“ДОКТОР БОТОКС💉” (@drbotox1), 767 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/drbotox1.
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.