к.м.н, ученый, врач
Сингапур, практика по всему миру
Прошла Суррогатное материнство и стала матерью двоих с разницей в месяц!
#DNMWE
Сотрудничество
https://wa.me/79319808249
Или +79319808249 вотс ап
https://gosuslugi.ru/snet/67dd4f74be8c0d1c03446
Created
22 January 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 72% 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.
Growth
36 measurements spanning 51 days, net -1,896. 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 157,156–159,620 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
26 Sept 2026, 19:58
157,440
-139
19 Sept 2026, 15:59
157,579
-136
17 Sept 2026, 00:40
157,715
-119
15 Sept 2026, 01:18
157,834
-110
13 Sept 2026, 13:57
157,944
-32
11 Sept 2026, 20:15
157,976
-174
9 Sept 2026, 11:16
158,150
-230
6 Sept 2026, 03:21
158,380
-91
4 Sept 2026, 01:16
158,471
+80
2 Sept 2026, 19:06
158,391
+34
1 Sept 2026, 15:36
158,357
-84
31 Aug 2026, 15:53
158,441
-101
30 Aug 2026, 15:17
158,542
-62
29 Aug 2026, 12:48
158,604
+22
28 Aug 2026, 15:47
158,582
+20
27 Aug 2026, 13:13
158,562
-45
26 Aug 2026, 14:34
158,607
-63
25 Aug 2026, 12:55
158,670
-41
24 Aug 2026, 13:03
158,711
-102
22 Aug 2026, 22:56
158,813
first reading
Engagement
47 posts held, back to 25 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 107 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.4%
avg views ÷ 157,440 subscribers
Avg views / post
22,600
19 posts measured
Reaction rate
1.36%
reactions ÷ views · ER floor
Posts in window
19
of 47 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
Window
Rolling 30 days · latest post in window 26 September 2026
Posts held
47 (25 July 2026 – 26 September 2026)
Views total
429,530
Reactions total
5,844
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 21:09 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
≈1,770
Videos
≈936
Links
≈454
Lifetime counters from Telegram’s own channel header, read 26 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
2m 54s
Average length
22s
Measured directly from 8 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
12,602 reactions across 47 posts, in 20 distinct kinds. The most used accounts for 55.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
7,029
55.8%
😢
1,837
14.6%
👍
1,269
10.1%
🔥
776
6.16%
🙈
438
3.48%
🕊
372
2.95%
🤔
184
1.46%
💯
150
1.19%
😁
110
0.873%
🎉
103
0.817%
💊
87
0.69%
🤩
78
0.619%
👌
42
0.333%
👏
30
0.238%
🤷
30
0.238%
🤷♀
24
0.19%
🤣
18
0.143%
🥰
11
0.087%
🌭
10
0.079%
custom 5456431885695589593
4
0.032%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 47 of the 47 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 12,602 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 25 July 2026 to 26 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
6
across the posts below
Posts paid on
3
of 47 we hold a reading for · 6%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @doctor_sadovskaya. 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 47 most recent posts we hold for this entry, published 25 July 2026 to 26 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.
Что посмотреть как скрасить воскресенье и всю последующую неделю? Сразу скажу, что подборка взята из моего закрытого клуба СВОИ. Там я публикую то, что понравилось мне и мы с девочками дискуссируем после)
В этом раз решила и здесь опубликовать, может вам тоже зайдет.
⠀
1. Шепот за окном (фильм с Робертом Де Ниро)
Папа с сыном переезжают в город детства. Но спокойной жизни у них там не будет — в городе начинают пропа…
Почему Панама? 🇵🇦 Напомню, что мы не возвращаемся в Россию из-за работы мужа. Его компания так устроена, что физически он должен быть где-то в Азии или рядом с США.
⠀
В Сингапуре мы прожили уже 4 года — хватит с меня. Итак, почему Панама?
⠀
✔️Легко получить ПМЖ. А мне хочется жить как человек, со всеми документами. Мы купили квартиру за 300 тыс. долларов, сдаём её за 2 тыс. долларов. За это нам дали постоянный вид н…
Стресс готовит места для рака заранее, и это не кликбейт. «Хронический стресс усиливает метастазирование посредством нейтрофил-опосредованных изменений микроокружения» — именно так звучит большая научная работа 2024 года, опубликованная в журнале Cancer Cell.
⠀
В 2024 году учёные не просто изучили корреляцию «стресс → больше метастазов», а по звеньям разобрали причинную цепочку и несколько раз её экспериментально пре…
Давайте сегодня поговорим про то, что такое «НЕ дорого». И что такое «НЕ дорого» лично для меня.
⠀
Недавно рассуждали с друзьями. Для кого-то абсолютно нормально ездить в отпуск несколько раз в год вместо ипотеки — жизнь одна. Для кого-то — покупать ту самую сумку из свежей коллекции по цене двухнедельного отпуска, зато радоваться в зеркало каждый день. Для третьих новая монетка в коллекцию вообще выше любых мирских …
Плакать даже после хорошего секса — норма. Это посткоитальная дисфория — postcoital dysphoria (PCD), состояние когда после добровольного и даже приятного секса внезапно накрывает грустью, слезами, раздражением, тревогой, ощущением пустоты или желанием отстраниться от партнёра.
⠀
Было у вас такого? А у вашего партнера?
⠀
Здесь работает смесь нескольких механизмов:
резкая смена возбуждения на расслабление, колебания не…
Почему один магний — не то же самое, что другой?
Дело не только в дозировке, но и в том, в какой форме магний попадает в организм.
⠀
Одна из интересных форм — магния оротат, раннее я писала, кому показан прием (ссылка на пост). Это органическая соль магния и оротовой кислоты. Ее особенность в том, что оротат способствует доставке магния непосредственно в клетку и его естественному усвоению.
А что происходит, когда м…
Волосы: что реально работает?
⠀
Аминексил. Ищите его в составах средств против выпадения волос. Он не «заставляет расти новый волос» напрямую, как какой-то лекарственный стимулятор, но он помогает дольше удерживать волос в фолликуле (уменьшает преждевременное выпадение волос).
⠀
Если углубиться ещё и покопать механизм действия, то здесь увидим, как аминексил делает окружение корня более «мягким» и благоприятным для н…
«Вы вдвоем детей не хотите?»
«Я не могу иметь детей».
⠀
Ролик натолкнул меня на второй пост про ошибки ЭКО, более философский. Старый тут. И да, я не знаю историю этой актрисы/певицы, но я знаю десятки других случаев, где было: а) потеряно время; б) пройден откровенно ложный путь. Результат — бездетность, поэтому сохраняйте и отправляйте подруге.
⠀
✔️Попытки забеременеть чем-то похожи на измену супруга. В 20 лет ты у…
Восстанавливаюсь после 30-часового перелёта, после неудачного заселения по Airbnb, после двух часов на машине — на Тихом океане и с лимфодренажными водорослевыми патчами.
⠀
Я уже много раз говорила про Sun Queen мои фавориты по соотношению цена / качество. Взяла в этот переезд водорослевые патчи, они работают как мощный лимфодренаж и снимают застои жидкости. лицо сразу более собранное, лёгкое, свежее.
⠀
Плюс мне очен…
КОК — комбинированные оральные контрацептивы (те самые «гормоны от беременности») vs ВЕНОЗНЫЕ ТРОМБОЗЫ.
⠀
Все, что нужно знать про риски без воды (репост дочери, подруге) ✈️
⠀
✔️КОК изменились. Раньше КОК — это высокие дозы эстрогена, а значит, и риск тромбоза гораздо больше. Не сравнивайте 100–150 мкг в 1960-х с 20–30 мкг в 2026 году.
⠀
При этом не забывайте и про маркетинг: понятие «новое поколение КОК» придумано б…
❤150👍43🤷3👏1
Signed Daria Sadovskaya
Showing the 12 most recent of 47 posts we hold for @doctor_sadovskaya. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@doctor_sadovskaya 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
12 September 2026
Most recent edit
12 September 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 6 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.
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.
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.
Read from Telegram’s recommendation API, most recently 12 August 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.
ДОКТОР АБАКУМОВ @drabakumof · 146,408 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 12 August 2026
Dr.Anshina @DrAnshina · 398,031 Telegram ranks this channel #3 of 71 here — alongside 70 others — read 12 August 2026
Ольга Орлова @olgaorlova · 174,540 Telegram ranks this channel #3 of 78 here — alongside 77 others — read 12 August 2026
Гинеколог Дмитрий Лубнин @dmitrylubnin · 92,155 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 17 August 2026
Доктор Афинская @liza_afinskaia · 71,053 Telegram ranks this channel #6 of 89 here — alongside 88 others — read 20 August 2026
Доктор Смирнова @smirnova_doctor · 89,543 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 17 August 2026
Каплина О.Ю., гинеколог, гемостазиолог & dr.gemogyn @dr_gemogyn · 21,672 Telegram ranks this channel #7 of 98 here — alongside 97 others — read 23 September 2026
Дубровская 👊🏿 @dubrovskaya_angelina · 81,967 Telegram ranks this channel #7 of 81 here — alongside 80 others — read 18 August 2026
Для женщин про здоровье @volkovaforwomen · 278,052 Telegram ranks this channel #8 of 73 here — alongside 72 others — read 10 August 2026
MAMA_SINKA @mama_sinka · 40,842 Telegram ranks this channel #9 of 96 here — alongside 95 others — read 29 August 2026
Доктор Неешпапа 🫁 /doctor_neeshpapa/ @doctor_neeshpapa · 32,035 Telegram ranks this channel #14 of 96 here — alongside 95 others — read 5 September 2026
УРОЛОГИЯ И МЕДИЦИНА - доктор Гадзиян. @urolog_mark · 27,428 Telegram ranks this channel #17 of 90 here — alongside 89 others — read 10 September 2026
Нефролог I Данила Пыриков @pyrikov · 67,374 Telegram ranks this channel #30 of 98 here — alongside 97 others — read 20 August 2026
Регина Доктор | Здоровье @regina_doctor · 107,912 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 14 August 2026
Регина Доктор | Женщина и бизнес @reginadoctor · 21,906 Telegram ranks this channel #35 of 87 here — alongside 86 others — read 22 September 2026
Гастроэнтеролог Ольга Помойнецкая @olga_pomoynetskaya · 251,971 Telegram ranks this channel #35 of 92 here — alongside 91 others — read 10 August 2026
Кристина Бошчех @bo_kris · 61,538 Telegram ranks this channel #36 of 79 here — alongside 78 others — read 24 August 2026
mariiarichard @mariiarichard · 22,287 Telegram ranks this channel #43 of 72 here — alongside 71 others — read 21 September 2026
Необычные путешествия @mikearoundtheworld · 154,601 Telegram ranks this channel #43 of 76 here — alongside 75 others — read 14 August 2026
ARINA SHUMAKOVA @arina_travels · 88,802 Telegram ranks this channel #44 of 76 here — alongside 75 others — read 17 August 2026
Гордон Екатерина @Gordonekaterina · 66,979 Telegram ranks this channel #49 of 87 here — alongside 86 others — read 1 September 2026
Зинануёбтвоюмать @zinanuebtvoumatt · 30,661 Telegram ranks this channel #53 of 65 here — alongside 64 others — read 6 September 2026
НАПРАВЛЕНИЯ @dmitry_lukyanchuk · 125,160 Telegram ranks this channel #55 of 82 here — alongside 81 others — read 14 August 2026
doctor_annamama @doctor_annamama · 82,960 Telegram ranks this channel #56 of 90 here — alongside 89 others — read 18 August 2026
This channel appears in 26 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Садовская” (@doctor_sadovskaya), 157,440 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/doctor_sadovskaya.
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.