Parenting & family — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 93% 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
35 measurements spanning 51 days, net +8,281. 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 304,066–314,831 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
26 Sept 2026, 22:00
313,589
+935
19 Sept 2026, 16:22
312,654
+450
17 Sept 2026, 04:36
312,204
+184
15 Sept 2026, 07:57
312,020
+154
13 Sept 2026, 13:16
311,866
+597
11 Sept 2026, 17:42
311,269
+175
9 Sept 2026, 01:42
311,094
+781
5 Sept 2026, 20:58
310,313
+315
3 Sept 2026, 16:40
309,998
+124
2 Sept 2026, 09:03
309,874
+110
1 Sept 2026, 07:06
309,764
+106
31 Aug 2026, 04:38
309,658
+152
30 Aug 2026, 01:38
309,506
+68
29 Aug 2026, 00:03
309,438
+79
28 Aug 2026, 01:14
309,359
+87
27 Aug 2026, 04:07
309,272
+94
26 Aug 2026, 04:11
309,178
+119
25 Aug 2026, 04:12
309,059
+144
23 Aug 2026, 23:08
308,915
+518
22 Aug 2026, 03:56
308,397
first reading
Engagement
136 posts held, back to 5 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 109 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.98%
avg views ÷ 313,589 subscribers
Avg views / post
31,300
74 posts measured
Reaction rate
3.70%
reactions ÷ views · ER floor
Posts in window
74
of 136 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 26 September 2026
Posts held
136 (5 August 2026 – 26 September 2026)
Views total
2,316,100
Reactions total
85,645
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 21:09 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
19m 43s
Average length
37s
Measured directly from 32 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
148,601 reactions across 136 posts, in 32 distinct kinds. The most used accounts for 46.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
68,540
46.1%
👍
20,757
14.0%
🤣
20,367
13.7%
🔥
14,980
10.1%
😁
10,721
7.21%
💯
6,163
4.15%
👏
2,631
1.77%
✍
652
0.439%
😱
629
0.423%
❤🔥
472
0.318%
👀
429
0.289%
🤝
425
0.286%
🙏
408
0.275%
🤔
257
0.173%
😐
130
0.087%
🤓
128
0.086%
😘
121
0.081%
👌
116
0.078%
🥰
116
0.078%
👎
103
0.069%
12 further kinds
456
0.307%
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 136 of the 136 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 148,601 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 136 most recent posts we hold, published 5 August 2026 to 26 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.
Telegram Stars
Stars received
33
across the posts below
Posts paid on
23
of 136 we hold a reading for · 17%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aidaprodom. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 136 most recent posts we hold for this entry, published 5 August 2026 to 26 September 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
как и чем мыть духовой шкаф - в видео нюансы и ответы на частые вопросы
рядом скриншот части оглавления из моей книги, как видите, эта информация есть и в книге
покупайте, читайте, внедряйте, дарите эти знания дальше 🩷
⏺️книга на Озон 👉 ссылка
⏺️книга на WB 👉 ссылка
⏺️книга в магазине издателя 👉 ссылка
⏺️книга на Литрес 👉 ссылка
1️⃣0️⃣ способов:
подытожу, чем отмывать решетки на плите (не те, которые в духовке)
ваши способы вы написали под этой публикацией, большое вам спасибо 🌺🌺🌺
вообще, как хорошо, когда решеток нет) меньше хлопот)
поэтому хорошо, когда плита индукция, потому что такая плита так греет, что на ней не бывает нагара и, главное, на кастрюлях и сковородках нагара совсем не появляется, если в доме плита индукция
1️⃣самое п…
1-2 фото это пример того, как важно применять средство по инструкции производителя: вот мне интересно, сколько человек этот гель покупают и перед тем, как добавить его в стирку, взбалтывают бутылку, как написано?
3-4 фото это гель для стирки спортивной одежды и обуви: вот мне интересно, сколько человек его покупают и используют для стирки уборочного инвентаря из микрофибры, как рекомендовано производителем?)))
5 ф…
у меня не так много украшений, но зато такие, которые не как у всех, да 😊
украшения это же твой стиль, твоя харизма, украшения отдают тебе свою энергию и тепло
знакомлю вас сегодня с брендом украшений ручной работы Томаа
возможно, вы даже про него слышали - несколько лет назад компания Томаа совместно с Третьяковской галереей выпустила лимитированную коллекцию браслетов-конструкторов "Русский авангард"
браслеты Т…
какая мыльница - смотрите тут https://t.me/aidaprodom/8192
чем заменить мыльницу - смотрите тут https://t.me/aidaprodom/8963
алгоритмы отстирывания любых пятен на одежде - вот тут @AidaProdom_bot и через самостоятельный поиск
вы вчера спрашивали в чате про липкость на ручках зонтов, автомобилей - советы вот тут https://t.me/aidaprodom/5302
___
говорю же - осваивайте самостоятельный поиск по каналу и чату - И ОТК…
Быть может я немного не в тему сейчас , но я хочу просто поблагодарить Аиду за мощную информационную помощь в плане стирки / уборки и т п .. сейчас все лето живем на даче и условия , мягко говоря, спартанские. Стиральной машины нет и я мелкие вещи стираю вручную. Так вот муж « уделал « рабочие строительные брюки на нет ,,. И трава и эпоксидная смола и клей пва - стол делаем .. и земля , естественно.. и тут я решилас…
кстати, мои видеоматериалы, в которых я показываю инвентарь и проф средства для уборки на кухне, рассказываю нюансы генеральной уборки любой кухни с потолка до пола собраны в один плей-лист на YouTube - смотрите и внедряйте
https://www.youtube.com/playlist?list=PLEiz8TxmJwwg
❤550👍149👌19✍11👏4🙏3❤🔥1
Signed Аида
Showing the 12 most recent of 136 posts we hold for @aidaprodom. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@aidaprodom 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.
First edit seen
22 August 2026
Most recent edit
30 August 2026
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 2 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.
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.
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.
Константин Дараган 🔶 Комментарий астролога️ @daragan_konstantin · 209,163#77
Read from Telegram’s recommendation API, most recently 10 August 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.
Порядок Тайм. Алина Ныркова @poryadoktime · 25,872 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 13 September 2026
Готовь, как Глыва @ya_glyva · 20,654 Telegram ranks this channel #6 of 81 here — alongside 80 others — read 26 September 2026
Канал «Дом быта» @dmbt_media · 44,767 Telegram ranks this channel #12 of 77 here — alongside 76 others — read 28 August 2026
Шелуша Фуд | @shelusha_food | Маша Шелушенко @shelusha_food · 325,247 Telegram ranks this channel #13 of 82 here — alongside 81 others — read 10 August 2026
Журнал «Петрович.Знает» @znaet_petrovich · 50,432 Telegram ranks this channel #17 of 68 here — alongside 67 others — read 25 August 2026
the_ksusha @the_ksusha_foodblog · 150,974 Telegram ranks this channel #17 of 76 here — alongside 75 others — read 12 August 2026
FitКатики @FitKatiki · 54,496 Telegram ranks this channel #18 of 64 here — alongside 63 others — read 23 August 2026
prosto_o_vkusno2 @prosto_o_vkusno · 37,114 Telegram ranks this channel #22 of 78 here — alongside 77 others — read 1 September 2026
ЛЕТНЕЕ УТРО | Letneeutro @Letneeutro_channel · 48,525 Telegram ranks this channel #22 of 68 here — alongside 67 others — read 26 August 2026
Клуб zhenya_prorab @zhenya_prorab · 52,194 Telegram ranks this channel #25 of 75 here — alongside 74 others — read 24 August 2026
ЛЕНИВЫЙ КУЛИНАР @leniviy_kulinar @kulinar_leniviy · 124,250 Telegram ranks this channel #27 of 82 here — alongside 81 others — read 13 August 2026
Елена Ландэ @elenalande_chef · 71,408 Telegram ranks this channel #30 of 83 here — alongside 82 others — read 20 August 2026
Заготовки с Шелушей @zagotovki_welldone · 31,480 Telegram ranks this channel #34 of 86 here — alongside 85 others — read 6 September 2026
Оля Макарова | личное и публичное | @olla_makarovaa · 20,661 Telegram ranks this channel #39 of 84 here — alongside 83 others — read 26 September 2026
Неудобный психолог @mamaterapia · 61,413 Telegram ranks this channel #42 of 82 here — alongside 81 others — read 22 August 2026
Olechkin_durdom @olechkindurdom · 52,001 Telegram ranks this channel #44 of 76 here — alongside 75 others — read 24 August 2026
Дневник доктора Белолипецкой @dr_belolipetskaia · 44,734 Telegram ranks this channel #45 of 90 here — alongside 89 others — read 27 August 2026
Кухня наизнанку @min2ru · 536,549 Telegram ranks this channel #46 of 83 here — alongside 82 others — read 11 August 2026
Resto_ray | Рецепты от шефа @resto_ray · 96,612 Telegram ranks this channel #49 of 81 here — alongside 80 others — read 16 August 2026
Доктор Гребешкова @doctor_grebeshkova · 34,366 Telegram ranks this channel #51 of 83 here — alongside 82 others — read 3 September 2026
Дарья Черненко | Меню недели 🍏 | Кулинарная школа @Dasha_Chernenko · 92,239 Telegram ranks this channel #51 of 90 here — alongside 89 others — read 17 August 2026
Коте Оганезов @koteoganezov · 133,592 Telegram ranks this channel #51 of 87 here — alongside 86 others — read 13 August 2026
Наталья pro_knigi_kino @pro_knigi_kino · 36,545 Telegram ranks this channel #53 of 79 here — alongside 78 others — read 1 September 2026
Ksenia_finance @ksenia_finance · 76,055 Telegram ranks this channel #55 of 83 here — alongside 82 others — read 19 August 2026
This channel appears in 40 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“Лёгкий быт с Аидой Prodom” (@aidaprodom), 313,589 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/aidaprodom.
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.