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 10 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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.
Previous handles
@detskoe_zdorove was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.
@detskoe_zdorove held 7 August 2026 – 7 August 2026
Growth
26 measurements spanning 31 days, net -31. 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 24,806–24,961 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
7 Sept 2026, 22:17
24,868
+2
4 Sept 2026, 23:01
24,866
-7
3 Sept 2026, 07:58
24,873
-14
1 Sept 2026, 23:55
24,887
-13
1 Sept 2026, 03:27
24,900
-15
31 Aug 2026, 00:23
24,915
-4
30 Aug 2026, 02:48
24,919
-4
29 Aug 2026, 00:53
24,923
-11
28 Aug 2026, 04:13
24,934
-1
27 Aug 2026, 06:12
24,935
-1
25 Aug 2026, 02:15
24,936
-7
23 Aug 2026, 18:06
24,943
+17
22 Aug 2026, 04:57
24,926
+15
20 Aug 2026, 19:44
24,911
+20
19 Aug 2026, 18:37
24,891
+67
18 Aug 2026, 21:02
24,824
-6
17 Aug 2026, 19:43
24,830
-16
16 Aug 2026, 16:56
24,846
-12
15 Aug 2026, 00:45
24,858
-8
13 Aug 2026, 13:36
24,866
first reading
Engagement
48 posts held, back to 4 August 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 56 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.95%
avg views ÷ 24,868 subscribers
Avg views / post
484
32 posts measured
Reaction rate
2.25%
reactions ÷ views · ER floor
Posts in window
33
of 48 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. It is computed over the 24 of 32 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
48 (4 August 2026 – 2 September 2026)
Views total
15,485
Reactions total
291
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:37 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
11m 05s
Average length
1m 00s
Measured directly from 11 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
603 reactions across 37 posts, in 6 distinct kinds. The most used accounts for 70.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
427
70.8%
🔥
100
16.6%
👏
52
8.62%
👍
16
2.65%
🎉
6
0.995%
🙏
2
0.332%
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 38 of the 48 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 603 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 4 August 2026 to 2 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.
Продолжу и более наглядно покажу, что делаю сейчас для здоровья детей, как готовила их к школе...досталось и сестре
📌также, я решила не зацикливаться только на медицинском образовании и обучаюсь по чуть-чуть другим нетрадиционным методикам оздоровления (Академия Огулова, остеопатия, КСТ, пиявки, банки, пчелы, банные процедуры), 12 сентября еду на еще одно очное обучение остеопатии именно по прикусу и черепу
Паралле…
Начался мой новый учебный год в медицинском
👉🏻в 2024 году я решила пойти дальше, брать новые цели и вершины (хочу очень сильно влиять на специалистов в области питания и здоровья детей😀💁♀️), поступила в медицинский университет 📚
Учусь на врача-педиатра, год готовилась, прошла вступительные испытания, сдавала три экзамена: русский, химию и биологию.
Отношения у нас сложные и абьюзивные😂🙈, так как человек я абсолют…
3 вещи, которые я сделала для здоровья своих детей ДО 1 сентября
Перед школой я в первую очередь позаботилась о базе.
1. Вернула нормальный режим сна.
Не 31 августа 😅 А заранее начала сдвигать время сна и подъёма, чтобы первые школьные недели не стали дополнительным стрессом.
2. Разобралась со здоровьем.
Сдали анализы, восполнили все дефициты, более того, я буду давать витамины детям весь учебный год: магний, ви…
Сегодня моя вторая дочь пошла в школу.
Казалось бы, я уже должна спокойно относиться к 1 сентября. Я мама троих детей — школьная линейка для нашей семьи уже не что-то неизвестное.
Но сегодня я поймала себя на мысли, что со вторым ребёнком я отправляю в школу уже совсем не так, как раньше.
👉🏻Мне гораздо меньше хочется идеальных прописей, пятёрок и десяти кружков после уроков.
И гораздо больше хочется, чтобы она выс…
Если "гены работают неправильно", то это приводит к нарушению усвоения витаминов гр В.
Признаки на фото говорят о том, что мутация скорее всего есть.
Что важно? Витамины группы B участвуют в работе нервной системы, кроветворении, энергетическом обмене и росте ребёнка. Поэтому проявления зависят от того, какого именно витамина не хватает.
Чаще дефицит может проявляться как:
🧠 утомляемость, раздражительность, сниже…
🧬 «Укус аиста», венка на переносице, гемангиома и дефициты: есть ли связь?
🔴 «Укус аиста» — не просто локальная кожная проблема или эстетический дефект.
Он не имеет отношения к трудным родам, потугам и схваткам — это не гематома, возникшая из-за давления во время родов, а сосудистая особенность, которая формируется ещё в процессе внутриутробного развития малыша. 🤰🏻
🩸 «Укус аиста», или невус Унны, связан с особеннос…
Посмотрите на свои волосы, кожу, ногти и язык: что тело может рассказать о дефицитах
👉🏻Выпадают волосы — купила новый шампунь.
👉🏻Ломаются ногти — записалась на укрепление.
👉🏻Сухая кожа — нужен крем подороже.
Нет сил с самого утра — кофе. Вечером хочется только лечь и чтобы никто не трогал — «ну а кому сейчас легко?»
И вот так можно месяцами пытаться исправлять внешние проявления, не задавая себе главного вопроса:
…
Тело действительно может давать подсказки, но важно говорить именно «могут быть связаны с дефицитом», а не ставить дефицит по одному симптому.
Например:
Железо — бледность, утомляемость, слабость, головные боли, снижение концентрации, одышка при нагрузке, ломкость ногтей, иногда извращённый аппетит (желание есть лёд, мел и т. п.).
Витамин D — мышечная слабость, боли в костях; выраженный длительный дефицит у детей …
ТЕЛО МОЖЕТ ПОКАЗЫВАТЬ ДЕФИЦИТЫ. ВАЖНО ТОЛЬКО УМЕТЬ ЗАМЕЧАТЬ ЕГО СИГНАЛЫ
Я всегда говорю: наш организм умеет подавать сигналы задолго до того, как мы начинаем серьёзно обращать на них внимание.
🚩И очень часто мама рассказывает мне:
👉🏻«Он просто быстро устаёт» 👉🏻«У неё всегда были такие ногти» 👉🏻«Просто кожа сухая» 👉🏻«Наверное, период такой — ничего не ест» 👉🏻«Он постоянно бледный, но у нас вся семья такая».
А когд…
🚩Все, ребята, доброй ночи, наш тест по тому, как распознать дефициты БЕЗ анализов подошел к концу
Пожалуйста, пройдите его с начала до конца🙏
А завтра мы разберемся, как восполнять дефициты правильно🎁
👉🏻За отказом от мяса, "малоежкой" избирательным в еде ребенком чаще всего скрывается... дефицит ЖЕЛЕЗА и витаминов гр В
❤5👍2
Showing the 12 most recent of 48 posts we hold for @detskoe_zdorove. 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 6 most recent of 9 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.
The shares total 102%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 138%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 130%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 111%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 111%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
The shares total 114%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 48 most recent posts we hold, published 4 August 2026 to 2 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.
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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“Алиса Басеева | Здоровье женщин и детей” (@detskoe_zdorove), 24,868 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/detskoe_zdorove.
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.