Друзья, приветствую вас! Меня зовут Ксения Машкина, я практикующий врач со стажем 21 год. В своем блоге рассказываю о здоровой, экологичной жизни.
💬 Служба заботы — @dr_message
Created
Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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 50 days, net -1,010. 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 74,840–76,153 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, 05:41
74,991
-175
19 Sept 2026, 09:55
75,166
-69
16 Sept 2026, 23:17
75,235
-29
15 Sept 2026, 03:21
75,264
-38
13 Sept 2026, 15:42
75,302
-40
11 Sept 2026, 22:37
75,342
-64
9 Sept 2026, 14:17
75,406
-47
6 Sept 2026, 07:19
75,453
-12
4 Sept 2026, 01:38
75,465
-26
2 Sept 2026, 19:19
75,491
-37
1 Sept 2026, 20:27
75,528
-18
31 Aug 2026, 17:57
75,546
-23
30 Aug 2026, 21:13
75,569
-24
29 Aug 2026, 18:04
75,593
-19
28 Aug 2026, 17:28
75,612
-23
27 Aug 2026, 20:17
75,635
-9
26 Aug 2026, 21:14
75,644
-16
25 Aug 2026, 22:03
75,660
-14
24 Aug 2026, 20:48
75,674
-36
23 Aug 2026, 09:35
75,710
first reading
Engagement
32 posts held, back to 1 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 112 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.2%
avg views ÷ 74,991 subscribers
Avg views / post
7,620
17 posts measured
Reaction rate
2.37%
reactions ÷ views · ER floor
Posts in window
17
of 32 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 30 September 2026
Posts held
32 (1 July 2026 – 30 September 2026)
Views total
129,599
Reactions total
3,073
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Sept 2026, 13:52 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
934
Videos
714
Links
293
Lifetime counters from Telegram’s own channel header, read 30 September 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.
Reaction mix
5,415 reactions across 32 posts, in 7 distinct kinds. The most used accounts for 55.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,982
55.1%
👍
1,645
30.4%
🔥
569
10.5%
👏
89
1.64%
💯
85
1.57%
🙏
42
0.776%
😱
3
0.055%
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 32 of the 32 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 5,415 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 1 July 2026 to 30 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
3
across the posts below
Posts paid on
3
of 32 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dr_mashkina. 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 32 most recent posts we hold for this entry, published 1 July 2026 to 30 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.
Моему сыну недавно исполнился год 🎂
Вроде только недавно этот комочек счастья домой принесли из роддома, а уже год прошел! Время летит 😱
Весь этот год я смотрела на детское здоровье уже не только как врач, но и как мама. Когда растет твой собственный ребенок, по-новому осознаешь, сколько всего закладывается именно сейчас. Многое, что легко предупредить в детстве, через 10–20 лет придется долго исправлять.
Я с голо…
Протеиновые батончики полезнее обычных сладостей? 🍫
Зависит от состава. Но сама надпись «протеиновый» еще не делает батончик полезным. В некоторых и сахара немало, а кроме белка — длинный список сиропов, подсластителей, ароматизаторов и других ингредиентов. По сути, это всё та же ультрапереработанная еда, просто с приставкой «протеиновый» на обертке.
И если такие продукты становятся регулярной частью рациона, польз…
Профилактика паразитов травами — стоит ли? 🪱
Лучшая профилактика паразитов — это не травы, а нормально работающий ЖКТ. Хорошая кислотность желудочного сока, отток желчи, ферментативная активность поджелудочной — вот это и есть защита. Ну и не забываем мыть руки, с кошками не целуемся 😁💋
Если хотите добавить что-то для профилактики — достаточно ежедневно включать в рацион любые горечи из еды.
А насчет комплексов тр…
Стоит ли объяснять, почему это плохая идея?
Альфа Нормикс — это антибиотик. Да, он почти не всасывается в кровь и работает в кишечнике, поэтому его часто воспринимают как что-то безобидное. Но любой антибиотик так или иначе действует на вашу микрофлору — причем как на «плохие» бактерии, так и на «хорошие».
Дозу и длительность курса должен подбирать врач, оценивая полную картину: анамнез, анализы, противопоказания п…
Газы и вздутие — где норма, а где уже СИБР? 💨
В норме газы отходят в основном с утра, после ночного перерыва. Ночью живот успокаивается, моторика слабая — газы образуются, но никуда не двигаются. А утром кишечник просыпается.
Легко газы отходят или тяжело — это вообще не показатель. И у здорового человека, и при патологии они могут выходить свободно. А вот если газам есть препятствие и они совсем не выходят — это у…
В комментариях под постами регулярно кто-то со мной спорит
Или пишет: «почему вы не сказали про то-то», «вы забыли добавить вот это». А кто-то и вовсе обозвал меня нейросетью 😅
Что хочу сказать по этому поводу... Всё, что я пишу в постах и даю на курсах, в клубе, — это мои знания и опыт за 21 год практики. Не только то, что я вынесла из института. Но и то, что я видела на живых пациентах: какие были последствия, ка…
Сколько белка нужно есть каждый день? И правда ли, что его излишек вреден? 🍗
По суточной норме белка ориентироваться стоит на стандартные рекомендации — от 0,8 до 1,2 грамма на килограмм веса. Можно начать с малого и последить за собой пару месяцев: как ведут себя кожа, волосы, ногти, не просаживаются ли гормоны. И параллельно контролировать анализы.
Есть еще сложный анализ на индивидуальную норму белка по моче, но…
Начальная стадия остеопороза — на что обратить внимание?
Если вам или вашим близким начали ставить остеопороз на ранней стадии, одним кальцием здесь не обойтись.
Обязательно нужен магний — без него адекватного метаболизма кальция просто не будет. Плюс к нему витамины D3 и K2: они помогают кальцию усвоиться и попасть именно в кости.
Еще я бы проверила фосфор. Если низкий — восполнять из продуктов, пищей он набирает…
С чем и когда принимать омега-3? 🐟
Есть ли у омеги кофакторы, с чем ее пить для лучшего усвоения и когда — утром, днем или вечером?
Про кофакторы. Отдельных кофакторов, как у витамина D, у омеги-3 нет. Но лучше принимать ее с антиоксидантами. Обычно их закладывает в формулу сам производитель — это небольшое количество витамина Е.
И тут может возникнуть вопрос: «в моей омеге есть витамин Е — значит, одновременно с …
Что такое электролиты и когда их пить?
Электролиты — это те самые показатели, которые мы смотрим в крови: калий, натрий, хлор и пр. В продаже они есть в разных формах: жидкой, порошковой, гелевой. В основном их берут в спортпите.
Но вообще-то мы все их получаем и так. Они есть в нашей еде и воде — конечно, если вода не «мертвая». То есть не дистиллированная и не суперотфильтрованная.
Я, например, давно перешла с в…
Полезно ли спать днем? Или так можно сбить себе гормоны? 😴
Я бы сказала, что поспать часок-другой днем — полезно. Особенно, если организм сам просит.
Не зря же в некоторых странах есть сиеста, когда после обеда поспать прямо рекомендуют. Никаких неблагоприятных изменений для организма дневной сон не вызывает.
У меня самой был такой период, когда я училась. Приезжала домой после пар часа в два и ложилась спать — на…
Какой анализ наиболее информативен при определении кислотности?
Самый достоверный анализ — суточная внутрижелудочная pH-метрия. Специальный тонкий зонд измеряет кислотность желудка в течение суток. Позволяет увидеть, насколько активно желудок вырабатывает соляную кислоту и как меняется pH после еды.
Но не каждый на это согласится )) Поэтому можно прибегнуть к способам, которые позволяют косвенно оценить кислотность…
👍90❤47🔥12
Showing the 12 most recent of 32 posts we hold for @dr_mashkina. 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.
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.
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 19 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.
Dr.Elena @ElenaKovchenko · 21,861 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 22 September 2026
⚕️ Дмитрий Семирядов️️ / Превентивный врач, нутрициолог / dsemiryadov @dsemiryadov_official · 76,614 Telegram ranks this channel #5 of 85 here — alongside 84 others — read 19 August 2026
Doctor Razumnaya @doctor_razumnaya · 48,982 Telegram ranks this channel #7 of 90 here — alongside 89 others — read 26 August 2026
Доктор Лисенкова @doclisenkova · 20,042 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 29 September 2026
PRO гормоны и БАДы | Диляра Лебедева эндокринолог @lebedeva_dilyara · 135,059 Telegram ranks this channel #9 of 90 here — alongside 89 others — read 13 August 2026
Для женщин про здоровье @volkovaforwomen · 278,052 Telegram ranks this channel #9 of 73 here — alongside 72 others — read 10 August 2026
Kronindoc @kronin_doc · 21,862 Telegram ranks this channel #11 of 75 here — alongside 74 others — read 22 September 2026
ᴍᴀᴢᴀᴇᴠᴅᴏᴄ @mazaevdoc · 36,577 Telegram ranks this channel #11 of 81 here — alongside 80 others — read 1 September 2026
Оазис Здоровья @pr_dadali · 86,883 Telegram ranks this channel #11 of 83 here — alongside 82 others — read 17 August 2026
Санаторий Волковой. Осенняя смена @evolkova_for_women · 83,187 Telegram ranks this channel #12 of 75 here — alongside 74 others — read 18 August 2026
Nice&Easy / Нутрициолог Дарья Савельева @perekusovnet · 39,506 Telegram ranks this channel #13 of 93 here — alongside 92 others — read 30 August 2026
UNA.TUNA @unatuna22 · 42,590 Telegram ranks this channel #13 of 80 here — alongside 79 others — read 29 August 2026
PRO питание и БАДы | Диляра Лебедева гастроэнтеролог @stomach_lebedeva · 63,479 Telegram ranks this channel #13 of 92 here — alongside 91 others — read 21 August 2026
Доктор Зубарева / Doctor Zubareva @doctor_zubareva · 402,924 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 10 August 2026
baseevaal @alisabaseevadoc · 25 Telegram ranks this channel #15 of 90 here — alongside 89 others — read 22 August 2026
ДОКТОР АБАКУМОВ @drabakumof · 146,408 Telegram ranks this channel #15 of 87 here — alongside 86 others — read 12 August 2026
Гастроэнтеролог Ольга Помойнецкая @olga_pomoynetskaya · 251,971 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 10 August 2026
Кулинарная медицина. Рецепты здоровья Кати Янг @katya_young · 33,254 Telegram ranks this channel #16 of 90 here — alongside 89 others — read 4 September 2026
Я себя НЕ знаю · Здоровье @Ya_Sebya_NE_Znayu · 23,507 Telegram ranks this channel #17 of 94 here — alongside 93 others — read 18 September 2026
Ирина Баранова🇷🇺 Врач anti-age @baranovaia · 31,343 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 6 September 2026
Доктор Виктория Орлинская @cardiodokstories · 161,534 Telegram ranks this channel #17 of 88 here — alongside 87 others — read 12 August 2026
Валентина Жукова @nutriciologzhu · 38,406 Telegram ranks this channel #18 of 81 here — alongside 80 others — read 31 August 2026
Заметки невролога Овсянникова КС @zametki_nevrologa · 71,665 Telegram ranks this channel #18 of 85 here — alongside 84 others — read 20 August 2026
Доктор Павлов @doc_gastro_life · 77,322 Telegram ranks this channel #18 of 94 here — alongside 93 others — read 19 August 2026
This channel appears in 72 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.
“Ксения Машкина” (@dr_mashkina), 74,991 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/dr_mashkina.
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.