Когда муж вносит комментарии в дневник самоконтроля 😬
😁74

Channel
@doctorgalimullinakb
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
17,232subscribers
-502 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001783402146 |
|---|---|
| Type | Channel |
| Username | @doctorgalimullinakb |
| Description | Здесь все о подготовке к родам и интересных клинических случаях просто, понятно и доказательно 🩺👩🏼⚕️ Сотрудничество: @galimullinakb РКН https://knd.gov.ru/license?id=6759a2542d90d3244c92d939®istryType=bloggersPermission |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/doctorgalimullinakb |
Education — 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 36% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 20:28 | 17,232 | -8 |
| 7 Nov 2026, 10:31 | 17,240 | -8 |
| 6 Nov 2026, 08:06 | 17,248 | -10 |
| 5 Nov 2026, 05:27 | 17,258 | -9 |
| 4 Nov 2026, 02:40 | 17,267 | -6 |
| 3 Nov 2026, 03:35 | 17,273 | -5 |
| 2 Nov 2026, 04:37 | 17,278 | -8 |
| 1 Nov 2026, 05:50 | 17,286 | -6 |
| 31 Oct 2026, 06:01 | 17,292 | -10 |
| 30 Oct 2026, 08:28 | 17,302 | -6 |
| 29 Oct 2026, 06:29 | 17,308 | -12 |
| 28 Oct 2026, 06:37 | 17,320 | -9 |
| 27 Oct 2026, 04:57 | 17,329 | -18 |
| 26 Oct 2026, 04:01 | 17,347 | -29 |
| 25 Oct 2026, 05:36 | 17,376 | -6 |
| 24 Oct 2026, 07:06 | 17,382 | -4 |
| 23 Oct 2026, 03:47 | 17,386 | -5 |
| 22 Oct 2026, 05:58 | 17,391 | -5 |
| 20 Oct 2026, 21:45 | 17,396 | -9 |
| 19 Oct 2026, 17:07 | 17,405 | first reading |
25 posts held, back to 20 April 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 67 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 4 November 2026 |
|---|---|
| Posts held | 25 (20 April 2026 – 4 November 2026) |
| Views total | 12,730 |
| Reactions total | 442 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 16:36 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 9 November 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 2 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.
1,980 reactions across 25 posts, in 18 distinct kinds. The most used accounts for 57.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,139 | 57.5% | |
| ❤🔥 | 173 | 8.74% | |
| 😁 | 144 | 7.27% | |
| 🔥 | 135 | 6.82% | |
| 🤣 | 124 | 6.26% | |
| 🥰 | 71 | 3.59% | |
| 💔 | 52 | 2.63% | |
| 😱 | 34 | 1.72% | |
| 💘 | 27 | 1.36% | |
| 👍 | 25 | 1.26% | |
| 🤯 | 22 | 1.11% | |
| 😍 | 12 | 0.606% | |
| 💋 | 11 | 0.556% | |
| 👏 | 4 | 0.202% | |
| 🤝 | 3 | 0.152% | |
| 💊 | 2 | 0.101% | |
| 💯 | 1 | 0.051% | |
| 🤔 | 1 | 0.051% |
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 25 of the 25 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 1,980 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 20 April 2026 to 4 November 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’s own ‘edited’ marker: 2 of 7 posts held from the last 30 days (28.6%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Когда муж вносит комментарии в дневник самоконтроля 😬
😁74
Photo, posted without a caption
😁57❤17
День закончился, а я даже телефон в руки толком не брала: плановая операция, потом огромный приём. Морально непростой: разные пациентки, сложные клинические ситуации, несколько случаев пришлось доложить руководству, чтобы вместе определиться с тактикой. Потом навестить своих пациенток, заполнить документацию и наконец-то домой. И знаете, что самое прекрасное? Впервые за четыре года материнства я сегодня приду домой …
❤58👍3
И еще, пока вспомнила - фоточки из обменной карты забирайте 🙏🏼 Мы обменку оставляем в истории родов и потом вам не отдаем, поэтому забрали и сразу в памятный фотоальбом
❤28🔥1
Video message, posted without a caption
❤27👍4
Пришла к 9:00, выпила кофе и пошла на обход послеродового отделения. План на утро: выписать 7 пациенток. Выписала. Дальше - приём, заключение контракта на роды и приёмное отделение, которое, как обычно, не спит. Осмотры, консультации, новые пациентки. В общем, кофе был вкусный. Жаль, что один. А время только 2 часа дня 😬 Вечером ожидаем 7 плановых пациенток на завтра ☺️
🔥32❤17🥰5
17 тысяч человек здесь, а я пропала на пару месяцев. Ну что, давайте возвращаться к жизни 😅❤️ Если коротко: я не пропала, я просто немного не вывезла. Последние месяцы были очень насыщенными. Много родов, работа, пациенты, ответственность, ночные смены… А потом вторая смена - дома, где ты уже не врач, а мама, которая тоже нужна своему ребёнку. И если честно, большую часть всего этого я тяну практически одна. В как…
❤🔥72❤42🥰5
Заговор от разрывов 🪄
🤣124🔥13❤6😁5
Это нужно всем врачам! В прошлом году я выросла с 1 пациента до 30 пациентов в месяц на заключение контрактов, а доход вырос х10 Рассказываю основные ключи к росту: 1. Врач без блога в 2026 будем отставать от всех своих коллег по востребованности как у пациентов, так и у работодателей 2. Вести блог без стратегии пустая трата времени и сил 3. Вашим пациентам не нужен скучный медицинский контент. Энциклопедию не …
❤15❤🔥4💊2💘1
Коллеги, срочный сбор. Хочу поговорить с вами о деньгах. Да, знаю. Для врачей это до сих пор почти неудобная тема. Мы привыкли говорить о пациентах, доказательной медицине, сложных случаях, помощи людям. Но давайте честно. Никто из нас не учился 8–10 лет для того, чтобы считать каждую покупку в магазине, бояться поднять стоимость приёма или надеяться только на очередную прибавку к зарплате. И вот что я поняла за …
🔥50❤16❤🔥2💘1
Год назад в моей профессиональной жизни произошла ситуация, которая далась мне очень непросто. Мне запретили участвовать в Дне открытых дверей. Позже — запретили брать контракты. И сразу отвечу на вопрос, который может возникнуть. Нет, это не было связано с моей работой как врача. Не было врачебных ошибок, жалоб или каких-либо профессиональных нарушений. Это была внутренняя рабочая ситуация. Но легче от этого тог…
❤🔥79❤27👍7💔6💘1💯1🔥1
Что делать, если отошли воды? Один из самых частых вопросов от беременных: «У меня отошли воды. Что дальше?» Первое, что важно сделать дома: 📎 Оценить цвет околоплодных вод. В норме они прозрачные или светлые. Если воды зеленые, коричневые или с большим количеством крови — необходимо как можно скорее ехать в роддом. 📎 Обратить внимание на шевеления малыша. Они должны сохраняться. Если шевеления стали значительно …
❤36
Showing the 12 most recent of 25 posts we hold for @doctorgalimullinakb. 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.
@doctorgalimullinakb edited 2 posts 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.
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.
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 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.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“Доктор Галимуллина 👩🏼⚕️” (@doctorgalimullinakb), 17,232 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/doctorgalimullinakb.
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.