меня зовут Маша, я шопологик и кмс по скидкам🤭 на моем канале безумное количество книжных рекомендаций, обзоров классных игрушек, стильных находок и много другого. присоединяйся ❤️
для связи: @k_maria_vl
№ 047148
Created
Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 34% 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 the other topics.
Growth
55 measurements spanning 93 days, net -476. 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 44,172–44,790 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)
Subscribers
Change
8 Nov 2026, 07:19
44,243
-5
6 Nov 2026, 23:56
44,248
-5
5 Nov 2026, 21:58
44,253
-2
4 Nov 2026, 18:59
44,255
-191
3 Nov 2026, 16:24
44,446
-2
2 Nov 2026, 19:19
44,448
-57
1 Nov 2026, 16:51
44,505
-2
31 Oct 2026, 20:09
44,507
-1
29 Oct 2026, 18:41
44,508
-2
27 Oct 2026, 22:57
44,510
-4
26 Oct 2026, 19:31
44,514
-4
25 Oct 2026, 20:30
44,518
-1
24 Oct 2026, 18:11
44,519
-1
23 Oct 2026, 19:39
44,520
-6
22 Oct 2026, 20:40
44,526
-1
21 Oct 2026, 18:58
44,527
-3
20 Oct 2026, 15:18
44,530
+2
19 Oct 2026, 16:01
44,528
-1
18 Oct 2026, 12:57
44,529
-6
17 Oct 2026, 11:36
44,535
first reading
Engagement
92 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 185 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.9%
avg views ÷ 44,243 subscribers
Avg views / post
6,160
26 posts measured
Reaction rate
3.47%
reactions ÷ views · ER floor
Posts in window
26
of 92 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 8 November 2026
Posts held
92 (5 August 2026 – 8 November 2026)
Views total
160,063
Reactions total
5,552
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 17:28 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
Photos
≈8,710
Videos
≈502
Links
≈1,110
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
52s
Average length
9s
Measured directly from 6 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
17,606 reactions across 92 posts, in 8 distinct kinds. The most used accounts for 26.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,586
26.0%
🔥
4,503
25.6%
👍
4,388
24.9%
🤩
1,186
6.74%
😍
1,154
6.55%
🥰
910
5.17%
❤🔥
876
4.98%
💔
3
0.017%
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 92 of the 92 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 17,606 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 92 most recent posts we hold, published 5 August 2026 to 8 November 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.
Advertising
Ad load
3.26%
3 of 92 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
5,010
over 3 measured posts
Median views · rest
5,880
over 89 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjdvXDbh
1
23 August 2026
23 August 2026
2Vtzqx9rGZ2
1
21 September 2026
21 September 2026
2W5zFGPoyF7
1
25 September 2026
25 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 92 most recent posts we hold, published 5 August 2026 to 8 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 26 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
ох, девочки, правду говорят: в гостях хорошо, а дома лучше! 👨
вы не представляете, как офигенно нас всегда встречают родные и насколько круто мы проводим вместе время, но вот это ощущение «дома» такое теплое! 💕
кстати, вот такие наклейки от Махаон — наши любимые! очень много различных тем — Саша обожает все, что связано с девочками, принцессами, феями и т.п. они есть еще в мини-формате. с 3 лет можно смело брать, н…
сегодня с этой хитрой красоткой и четвероногим другом возвращаемся домой! ✈️
а на следующей неделе у нас важная миссия — кажется, Саша начинает ходить в детский сад. пишу, и сама не верю🙂
буду стараться рассказывать, как это проходит у нас, а еще поведаю историю о том, как я жестко переобулась 😆
#лайф
очень необычная книга от издательства @clevermedia — «Затерянный остров»
в поисках вдохновения иллюстратор Никола отправляется в морское путешествие, попадает в шторм и причаливает к ближайшему острову. на берегу она находит дневник с заметками загадочного учëного-исследователя Алоизия Репы. читая записи, датированные XIX веком, она понимает, что оказалась на необитаемом острове, полном следов древних цивилизаций ма…
2 новые книги про Петсона и Финдуса, которыми давно хотела пополнить нашу библиотеку
«Переполох в огороде» — считается самой весенней книгой в серии. Петсон занимается посадками, а Финдус не любит картошку и морковь, поэтому решает посадить то, что ему по вкусу, — тефтельку. но вырасти урожаю постоянно кто-то мешает…
«Где Петсон?» — картонка, которая подойдет для самых маленьких. Финдус потерял Петсона и никак не м…
развивающие бюджетные новинки от издательства @clevermedia:
⏺️букварь — составлен по методике чтения по складам в совокупности с современными разработками. помимо прочего, ребенок найдет здесь комиксы, игры и лабиринты, что поможет освоить чтение в легкой и интересной форме
⏺️многоразовая тетрадь: лабиринты, ходилки и бродилки — очень классное пособие для детей с 3 лет. это 34 ярких лабиринта, а также задания «найд…
Саша у нас большая любительница пофоткаться — часто сама просит, поэтому упрашивать ее обычно не приходится, еще и позы так мило и смешно меняет. чисто девочка 💅
#лайф
«Куда пропала музыка?» от издательства Книгусь — настоящий музыкальный детектив для детей с ~4-5 до 10 лет 🎶
детектив Находкин, никогда не интересовавшийся музыкой, расследует ее загадочное исчезновение. во время поисков он знакомится с устройством симфонического оркестра и видами музыкальных инструментов, да и вообще влюбляется в музыку, которая раньше казалась ему чем-то бесполезным
#книги
двух сладких пирожочков вам в ленты 🧸
топ кличек от Саши:
✔️ух ты мой зараза
✔️бедолага 🤣
честно, как бы сильно не любила поездки, весь этот движ, походы в гости, встречи и насыщенные дни, всегда безумно скучаю по дому
#лайф
«Загадочные острова. Миры посреди океана» от издательства @clevermedia — очень красивая книга о самых удивительных островах и их тайнах 🌊
вы, кстати, знали, что на Земле около 500 тысяч островов?
здесь про образование островов, об островных гигантах и карликах, исчезночении островов с карт и много-много другого! очень красивая и познавательная книга!
#книги
«ДНК: код жизни» от издательства Пешком в историю — познавательная энциклопедия для школьников (и взрослых), в которой простым языком рассказано всё про гены, ДНК и генную инженерию 📎
почему мы такие, какие есть? почему дети похожи на своих родителей? насколько наша личность определяется нашими генами? — если вы или ваши дети задавались этими вопросами, то книга 💯 будет актуальна
не могу не отметить большое количес…
«Сны Петушкова» от издательства АСТ — еще одна новая книга Андрея Усачева в нашей библиотеке
это сборник веселых и шутливых стихотворений о мечтателе и изобретателе, а также большом любителе поспать, Иване Петушкове, с которым постоянно происходят чудеса — и во сне, и наяву ❤️
〽️ книга, на мой взгляд, актуальна для детей с ~4 лет 👍
#книги
очень красивая новая книга от издательства @clevermedia — «Сказки Шарля Перро» 📖
это сборник из 8 самых популярных сказок автора (в адаптации классической обработки Тургенева) и, несмотря на то, что большинство из них у нас уже были в другом исполнении, здесь есть парочку не «заезженных», но при этом известных сюжетов. к тому же, я уже писала, что мы любим читать одни и те же истории в разном пересказе и с новыми и…
🔥68❤57👍51❤🔥17🤩16
Showing the 12 most recent of 92 posts we hold for @sovershenno_dekretn0. 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Совершенно декретно🤫” (@sovershenno_dekretn0), 44,243 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/sovershenno_dekretn0.
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.