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Channel

Жанна Валова ПРО педиатрию

@doctor_valova

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,501subscribers

-25 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001458941469
TypeChannel
Username@doctor_valova
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/doctor_valova

Growth

9,5019,5269,513.57 August 2026 — 9,526 subscribers7 August 2026 — 9,526 subscribers9 August 2026 — 9,518 subscribers13 August 2026 — 9,513 subscribers16 August 2026 — 9,501 subscribers7 August 202616 August 2026
5 measurements spanning 9 days, net -25. 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 9,497–9,530 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 15:529,501-12
13 Aug 2026, 02:139,513-5
9 Aug 2026, 22:219,518-8
7 Aug 2026, 05:159,526no change
7 Aug 2026, 05:039,526first reading

Engagement

9 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
15.2%
avg views ÷ 9,501 subscribers
Avg views / post
1,450
4 posts measured
Reaction rate
2.70%
reactions ÷ views · ER floor
Posts in window
4
of 9 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
WindowRolling 30 days · latest post in window 14 August 2026
Posts held9 (19 June 202614 August 2026)
Views total5,781
Reactions total156
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 20:57 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

Video runtime
44s
Average length
44s

Measured directly from 1 video 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

383 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 76.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29376.5%
👍389.92%
💯266.79%
🔥143.66%
💋61.57%
🎉30.783%
🙏20.522%
😁10.261%

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 9 of the 9 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 383reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 19 June 2026 to 14 August 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.

Recent posts

14 Aug 2026, 07:34 UTC701 views45 reactionsread 15 August 2026

Вчера вечером у меня очень сильно заболело горло. Прям почти условно в один момент. Сидела раскрашивали, ничего не болело. А потом вдруг поняла, что мне больно глотать, больно приоткрывать рот, больно зевать и тому подобное. И теперь давайте проведём маленькое расследование как это любит делать родительский мозг? Что я делала вчера? Ела макароны с гуляшом. На ужин ела картошку с рыбой. Много не гуляла, но при этом

💯2619

Signed Жанна Валова

31 Jul 2026, 12:02 UTC≈1,400 views43 reactionsread 15 August 2026
Video

История про Машу. На прошлой неделе мы отправили Алису в спортивный лагерь. Об этом еще обязательно напишу, когда она вернется, и расскажу, как всё прошло. А я, как обычно, уехала в командировку в Москву, и Маша очень загрустила. И вот тут я поймала себя на мысли, что перед отправкой Алисы в лагерь я очень переживала именно за неё. Совершенно забыв о том, что Маша за свои шесть лет практически ни одного дня не была

41🔥2

Signed Жанна Валова

18 Jul 2026, 11:07 UTC≈1,880 views38 reactionsread 15 August 2026
Photo

А руководство по новорожденным это отдельное произведение искусства просто 💚

27👍10😁1

Signed Жанна Валова

18 Jul 2026, 11:04 UTC≈1,800 views30 reactionsread 15 August 2026
Photo

Когда встречаются акушер-гинеколог и педиатр, которые по-настоящему живут своей профессией, постоянно работают с пациентами и уже накопили достаточно опыта, чтобы помогать не только семьям, но и своим коллегам, рождаются очень интересные проекты. Именно так вместе с Артемом Сергеевичем Литвиненко мы создали приложение, которым сами хотели бы пользоваться каждый день, когда начинали работать. Оно будет полезно бере

21🔥8👍1

Signed Жанна Валова

6 Jul 2026, 09:15 UTC≈2,030 views77 reactionsread 15 August 2026
Photo

Мечты, мечты…

55👍14💋6🙏2

Signed Жанна Валова

29 Jun 2026, 09:10 UTC≈2,530 views60 reactionsread 15 August 2026
Photo

Ну не могу я проходить мимо таких комментариев, потому что именно из-за ошибочного восприятия и растут корни, в том числе, страха вакцинации. Давайте немножечко теории. АКДС и Пентаксим — в чем отличие? АКДС — это коклюш, дифтерия, столбняк. Три компонента. Пентаксим — пять компонентов. То есть, если мы делаем АКДС, нам нужно дополнительно привить ребенка от полиомиелита и гемофильной инфекции. АКДС содержит цельн

47👍13

Signed Жанна Валова

21 Jun 2026, 08:19 UTC≈2,370 views73 reactionsread 15 August 2026
Photo

Быть врачом - это диагноз, на самом деле. Болезнь, которая повреждает семейные отношения, личное время, влияет на сон, аппетит, состояние кожи м нервную систему. Но это та самая болезнь, при которой ты чувствуешь себя максимально счастливым, потому что нашёл своё место. Где-то ты чувствуешь себя детективом, где-то психологом, где-то большой опорой, а где-то растерянным человеком, который снова идёт читать, учиться,

66🔥4🎉3

Signed Жанна Валова

19 Jun 2026, 05:53 UTC≈1,790 views13 reactionsread 15 August 2026
Forwarded from @mediamedics

⚡️«Медицинская Россия» обозревает самые важные посты в профильных каналах: ▶️ Нефролог Данила Пыриков — худеть самостоятельно и на препаратах одинаково полезно для здоровья? Читайте в разборе от специалиста ▶️ Педиатр Станислав Андриянов — как понять, что обычная простуда у ребёнка перестаёт быть обычной? Оказывается, ключевой сигнал – в дыхании, и родители часто его пропускают. Что должно насторожить и когда медли

13

Signed Жанна Валова

19 Jun 2026, 05:53 UTC≈1,410 views4 reactionsread 12 August 2026

И снова подборка полезностей от специалистов

4

Signed Жанна Валова

Showing the 9 most recent of 9 posts we hold for @doctor_valova. 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.

Citation-graph rank

Citation-graph rank — 1,156,877 of 1,481,243entries 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.

Forward network

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.

Mentions

Named by 3 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.

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Жанна Валова ПРО педиатрию” (@doctor_valova), 9,501 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/doctor_valova.

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.