Parenting & family — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
15 measurements spanning 43 days, net -285. 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 6,909–8,096 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
19 Sept 2026, 07:19
7,046
-49
14 Sept 2026, 15:37
7,095
-295
11 Sept 2026, 00:56
7,390
-231
5 Sept 2026, 20:39
7,621
-30
2 Sept 2026, 03:46
7,651
+194
29 Aug 2026, 23:12
7,457
-22
26 Aug 2026, 19:48
7,479
-270
24 Aug 2026, 03:23
7,749
-54
20 Aug 2026, 18:45
7,803
-41
17 Aug 2026, 20:24
7,844
-51
14 Aug 2026, 23:06
7,895
-64
11 Aug 2026, 12:43
7,959
+645
8 Aug 2026, 04:58
7,314
-17
7 Aug 2026, 15:16
7,331
no change
7 Aug 2026, 15:03
7,331
first reading
Engagement
30 posts held, back to 2 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 17 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.46%
avg views ÷ 7,046 subscribers
Avg views / post
666
6 posts measured
Reaction rate
6.18%
reactions ÷ views · ER floor
Posts in window
6
of 30 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 28 August 2026
Posts held
30 (2 August 2026 – 28 August 2026)
Views total
3,998
Reactions total
247
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 22:30 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
13s
Average length
7s
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
1,434 reactions across 30 posts, in 14 distinct kinds. The most used accounts for 42.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
604
42.1%
🤣
276
19.2%
🔥
179
12.5%
😍
77
5.37%
🎉
65
4.53%
👍
64
4.46%
💔
58
4.04%
✍
31
2.16%
🤝
24
1.67%
🙏
16
1.12%
😱
11
0.767%
🍾
10
0.697%
💯
10
0.697%
🐳
9
0.628%
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 30 of the 30 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 1,434 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 2 August 2026 to 28 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.
Бог услышал мои молитвы.
✔️Тася проснулась в 8:30.
Это, как минимум, на 1,5 часа позже обычного.
✔️ Ваня проснулся (хз во сколько) и сам играл в комнате.
✔️потом эти двое воссоединились и дали мне СПОКОЙНО приготовить завтрак, без мультиков и смс.
Какова теперь будет моя расплата, уже переживаю.
Любимый завтрак августа
➖ это как мак-завтрак, только
ВЫСОКОБЕЛКОВЫЙ!
⏺️английская булочка
Я беру в озоне, так и называется
⏺️яичница
Топлю кусочек сливочного масла + ложка кипятка — и туда яйца (так не будет корочки)
⏺️Чеддер
Когда яичница готова - кладу сверху и накрываю крышкой, буквально на минуту
⏺️ветчина
Беру индилайт (норм кбжу, но я не профи)
❤️Вкусно!
Все едят, все сыты.
Я всё еще в процессе привыкания, что у нас в квартире 2 санузла. Да и не только я.
По привычке по утрам ждем друг друга, чтоб зубы почистить 🫠
Но зато я научилась покупать всё туалетно-помывочное в двойном экземпляре.
Гель для душа MUR MUR беру не первый раз. Пенится отлично, кожу не стягивает, цена моё почтение.
Если любите ванильно-кокосовые отдушки — рекомендую познакомиться❤️
Картина «это и их дом тоже» или мои тщетные попытки занять Тасю в моменты, когда я готовлю.
😕, Ване зашло.
Тася просто всё разбросала на пол.
+ одна зона для уборки 🗿
Спасибо, дура.
🔗🔗 озон
Кажется, я вас еще не познакомила со своей новой гиперфиксацией.
СКУПАЮ
НАСТОЛЬНЫЕ
ЛАМПЫ
Муж уже говорит тормознуть. Полок не хватает, да и не пользуемся мы ими в таком количестве.
Скукотааааа!
Но вот этот, последний.. с помпоном сверху - моя любовь!
🔗🔗 на озон
Несу вам 2 хорошенькие рекомендации:
❤️сериал «друзья и соседи»
С первой серии захватывает: легкий, эмоциональный, крутой!
❤️ресторан WU SHU
Одно из немногих мест, в которые я буду возвращаться снова и снова. Вкусно!
Я: живу в 3 минутах от огромного леса.
Тоже я: еду 15 км на велосипеде до «ну совсем другого» леса.
- ты чё, Даш, с ума сошла, - спросите вы.
- я мать двоих детей, я так чувствую 😂 , - отвечу я
На самом деле меня просто в метро с великом не пустили.
это вообще с какооооой стаааати!?
Я планировала смотреть новую набережную в Парке Горького и потом возмущаться, что народу дохера.
😕, звезды сошлись, чтоб снова приеха…
Последний раз слайм был в нашей жизни примерно пол года назад, тогда мы выкинули стул кухонный и сам слайм втёртый в него.
И вот, снова он..
✔️ я не слышу ребенка уже час
❌ моя тревожность зашкаливает, я заглядываю на кухню каждые 0,3 секунды.
Помолимся вместе за нашу квартиру? 🙏
Боюсь в страховке нет пункта «ребенок угандошил занавески — выплата 300 тыщ»
Нестандартная книга для Ваниной библиотеки, но люблю её за короткость и смешнючесть. На мой взгляд подойдет с 2 лет.
Про хитрожопого зайца, которого не съели.
🔗🔗➡️ озон
*цена какая-то неадекватная, я брала за 300₽ в совместных закупках.
«Тоже мне, день рождения называется. Никакого тебе торта на обед. Вареники сраные.»
🤣72❤21🔥7
Showing the 12 most recent of 30 posts we hold for @mamashkadashka. 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.
Posts edited after publishing
@mamashkadashka edited 1 post 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.
First edit seen
12 August 2026
Most recent edit
12 August 2026
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.
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.
Playmamka @playmamka · 52,105 Telegram ranks this channel #77 of 87 here — alongside 86 others — read 24 August 2026
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Даша — на роже каша” (@mamashkadashka), 7,046 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/mamashkadashka.
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.