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 53% 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
33 measurements spanning 43 days, net +9. 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 23,888–24,038 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:41
23,914
-30
16 Sept 2026, 01:36
23,944
-14
14 Sept 2026, 08:58
23,958
-22
12 Sept 2026, 17:16
23,980
-16
10 Sept 2026, 19:16
23,996
-15
7 Sept 2026, 16:39
24,011
-7
4 Sept 2026, 16:20
24,018
-3
3 Sept 2026, 00:16
24,021
+4
1 Sept 2026, 22:48
24,017
+2
31 Aug 2026, 21:34
24,015
+7
30 Aug 2026, 22:04
24,008
+28
29 Aug 2026, 18:48
23,980
-7
28 Aug 2026, 19:54
23,987
+14
27 Aug 2026, 19:53
23,973
-8
26 Aug 2026, 21:13
23,981
-2
25 Aug 2026, 21:05
23,983
+4
24 Aug 2026, 21:44
23,979
+9
21 Aug 2026, 18:56
23,970
-4
20 Aug 2026, 12:46
23,974
+6
19 Aug 2026, 10:04
23,968
first reading
Engagement
29 posts held, back to 16 May 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 59 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.03%
avg views ÷ 23,914 subscribers
Avg views / post
1,440
4 posts measured
Reaction rate
0.537%
reactions ÷ views · ER floor
Posts in window
4
of 29 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 1 September 2026
Posts held
29 (16 May 2026 – 1 September 2026)
Views total
5,770
Reactions total
31
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 11:50 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
3m 22s
Average length
1m 41s
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.
Reaction mix
965 reactions across 26 posts, in 12 distinct kinds. The most used accounts for 61.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
594
61.6%
🔥
171
17.7%
😭
80
8.29%
👍
61
6.32%
😱
19
1.97%
👏
11
1.14%
😢
10
1.04%
🤔
9
0.933%
💯
7
0.725%
🙏
1
0.104%
🤯
1
0.104%
🤷♀
1
0.104%
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 27 of the 29 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 965 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 16 May 2026 to 1 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.
⭐️ 5 ошибок, которые вы можете пропускать на приемах и считать это нормой (хотя это может навредить пациентам)
их мы и разберем на практикуме "5 критических ошибок педиатра: что важно не упустить" уже завтра! 🤌🏻
Он будет полезен не только начинающим, но и врачам с опытом! Вместе с Елизаветой Нагорской на примере реальных клинических кейсов 🤩
▶️ разберем самые частые и опасные ошибки педиатров, которые не просто ме…
Разбираемся детально, как лечим бронхиолит у деток?
То, что описано выше не работает рутинно 🔠
При типичном бронхиолите международные рекомендации не советуют рутинно использовать:
🔠сальбутамол;
🔠ингаляционные и системные глюкокортикостероиды;
🔠антибиотики без признаков бактериальной инфекции;
🔠гипертонический раствор;
🔠физиотерапию грудной клетки.
Причина обструкции при бронхиолите ↪️ преимущественно отек стенки…
ПОТРЕНИРУЕМСЯ? РЕШАЕМ КЛИН СЛУЧАЙ ВМЕСТЕ: разминаем наши мозговые извилины перед практикумом! 🧠
Пациент просто типичный, такие будут приходить к вам на приемы буквально каждый день, вроде все просто с первого раза, но ошибок в таких случаях совершается много
У вас на приеме ребенок 5 месяцев.
3 день болезни, из симптомов:
◾️насморк;
◾️кашель;
◾️свистящее дыхание;
◾️умеренное учащение дыхания;
◾️сатурация 97%;
◾️р…
ОТКРЫТА РЕГИСТРАЦИЯ НА ПОСЛЕДНИЙ В ИСТОРИИ МЕДИКУМ ПРАКТИКУМ 🔥
Это действительно последний эфир, больше их не будет вообще, как бы это грустно не звучало, поэтому такое точно нельяз пропускать.
Мы уже дали огня на эфире листа ожидания Курса молодого педиатра, Лиза Нагорская провела практикум, который готовила почти месяц 😱
Честно, мы всей командой даже урезали презентацию 😆 потому что мы бы тогда сидели на практику…
БЦЖ: как должно выглядеть место после вакцинации и как это оценивать педиатру?
После БЦЖ место вакцинации может выглядеть совсем не так, как ожидают родители (да и часто не так, как ожидают врачи): покраснение, корочка, небольшое количество отделяемого, и сразу возникает тревога: это нормальная реакция или уже повод обратиться к врачу или нам предпринять какие-то меры? 😱
СПОКОЙНО! 🙌🏻 Мы с вами не из пугливых, потом…
ЧЕК-ЛИСТ: КАК НЕ СОЙТИ С УМА В ЭПИД СЕЗОН 🎃🍂
Педиатры, готовьте сани летом, а себя к эпид сезону тем более! 😏
🔠если вы думаете, что успеете разобраться "как-то по ходу дела", нет! в эпид сезон ужасная нагрузка и там не до развития и изучения какой-то доп инфы, домой бы дойти, а в выходные отоспаться,
▶️нужно подготовиться заранее, чтобы у вас в голове были алгоритмы и четкое понимание, что делать и как в конкретн…
ПОЧЕМУ МЫ НЕ СОВЕТУЕМ СЕЙЧАС ПЕДИАТРАМ УЧИТЬСЯ ТОЛЬКО ПО КНИГАМ 🤩
Периодически в нашем чате всплывают вопросы: порекомендуйте книги по педиатрии (и нам очень приятно, что наши ученики отвечают "КМП 100%" 🤩), и да, это можно сделать, но есть в этом опасная ловушка ❌ Мы привыкли к базе и классике, так скажем, скачал - открыл - прочитал - внедрил.
Но в наше время, то что «написано в книге» ≠ «актуально на сегодняшний…
🤔 ВИРУС ИЛИ БАКТЕРИЯ: ШПАРГАЛКА ПО ИНТЕРПРЕТАЦИИ АНАЛИЗА КРОВИ
⭐️ ВАЖНО! Это только признаки, на деле мы никогда не смотрим только на анализы, очень важно оценивать состояние ребенка, симптомы и другие факторы. Этому мы учим на Курсе молодого педиатра: после него вы комплексно будете знать, что и как делать в каждом конкретном случае.
Признаки вирусной инфекции в ОАК
➡️лейкоциты - в норме или снижены,
➡️лимфоциты …
ИМПЕТИГО: СЫПЬ, КОТОРАЯ ТОЧНО ВСТРЕТИТСЯ У ВАС НА ПРИЕМЕ, ЗАБИРАЙТЕ АЛГОРИТМ
Коллеги, а ответы-то разошлись! И в этом вся загвоздка - сложность диф диагностики, давайте разбираться ⤵️
Импетиго - это поверхностная бактериальная инфекция кожи, которая чаще всего вызывается:
• Staphylococcus aureus
• Streptococcus pyogenes
Заболевание высоко контагиозно и легко распространяется в детских коллективах и внутри семьи.
…
РАЗБИРАЕМ МИНИ КЛИН КЕЙС ПО ФОТО: ЧТО ЗА СЫПЬ?
➡️пишите в комментариях, что за сыпь? какой диагноз поставим?
➡️как будете вести таких пациентов?
Все максимально просто и быстро :)
Ждем ваши ответы, а позже поделимся с вами алгоритмом работы с такими пациентами! С вас ответы и реакции - все по стандарту 🤌🏻🤩
💔 МедикУм закрывается 💔
Нам до сих пор не верится, что приходится это говорить, но это правда. Не кликбейт 🥺
МедикУм для нас никогда не был просто образовательным проектом.
Мы мечтали создать место, которого многим из нас самим когда-то не хватало:
🟢где можно задавать любые вопросы без страха выглядеть глупо🥹
🟢где ошибки — это не повод для осуждения, а возможность научиться 🙏
🟢где эксперты не говорят с высоты ка…
Инфекция мочевыводящих путей у детей: практический алгоритм для педиатра
Инфекция мочевыводящих путей у детей - диагноз, который легко как пропустить, так и гипердиагностировать. Главная ошибка амбулаторной практики - начинать антибиотик «на всякий случай» без корректного забора мочи и без подтверждения пиурии/бактериурии.
Современный подход можно свести к трем вопросам:
1️⃣Есть ли клинические основания подозреват…
❤42🔥12👍4🤔2
Showing the 12 most recent of 29 posts we hold for @pomoshnik_pediatra. 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.
Polls
The 4 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published, totalling 99%. 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 29 most recent posts we hold, published 16 May 2026 to 1 September 2026. 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@pomoshnik_pediatra named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@medicum named in 2 posts, 2 September 2026 – 4 September 2026
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.
СПбГПМУ Педиатрический университет @gpmu_org · 12,223#94
Read from Telegram’s recommendation API, most recently 17 September 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.
Заметки детского врача @DrButriy · 137,978 Telegram ranks this channel #2 of 95 here — alongside 94 others — read 13 August 2026
ninavaccina @ninavaccina · 89,921 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 17 August 2026
Занудная педиатрия — Роман Шиян @drshnr · 37,179 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 1 September 2026
Клинфарм замес | Евгений Никитин @tgnikitin · 44,506 Telegram ranks this channel #14 of 87 here — alongside 86 others — read 28 August 2026
Доктор Молодой @doctor_dmolodoy · 61,917 Telegram ranks this channel #15 of 94 here — alongside 93 others — read 22 August 2026
Docma.ru - ДОКАЗАТЕЛЬНАЯ МЕДИЦИНА @Docma_ru · 41,842 Telegram ranks this channel #20 of 98 here — alongside 97 others — read 29 August 2026
Ordinatura.org | Ординатура орг @ordinatura_org · 24,329 Telegram ranks this channel #22 of 90 here — alongside 89 others — read 16 September 2026
Reclin - live @reclinlive · 30,488 Telegram ranks this channel #22 of 88 here — alongside 87 others — read 7 September 2026
Юлия Сидорова |Детский эндокринолог| @sidorovasay · 26,787 Telegram ranks this channel #32 of 93 here — alongside 92 others — read 11 September 2026
DocDeti & DocMed @docdeti_docmed · 63,281 Telegram ranks this channel #33 of 94 here — alongside 93 others — read 21 August 2026
Педиатр из роддома Ева Азарова @anyclass_supermama · 53,090 Telegram ranks this channel #36 of 79 here — alongside 78 others — read 24 August 2026
Рediatric family | Громовы @pediatricfamily · 38,361 Telegram ranks this channel #38 of 82 here — alongside 81 others — read 31 August 2026
Медицинская Литература @clinirec · 34,336 Telegram ranks this channel #41 of 84 here — alongside 83 others — read 4 September 2026
Шура, выручай! @shura_help · 34,434 Telegram ranks this channel #41 of 95 here — alongside 94 others — read 3 September 2026
Аллергология для чайников с Ольгой Жоголевой @allergo_doc · 39,388 Telegram ranks this channel #44 of 96 here — alongside 95 others — read 31 August 2026
SYNAPSE I СИНАПС @synapse_channel_1 · 40,119 Telegram ranks this channel #45 of 88 here — alongside 87 others — read 4 September 2026
Юрист для врача Ангелина Романовская @mfcexpert_news · 29,548 Telegram ranks this channel #59 of 96 here — alongside 95 others — read 8 September 2026
This channel appears in 17 seed channels' Telegram-generated recommendation lists in total. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Помощник педиатра | МедикУм” (@pomoshnik_pediatra), 23,914 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/pomoshnik_pediatra.
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.