Ecommerce storefront — 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 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.
Growth
32 measurements spanning 42 days, net -654. 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 58,335–59,280 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 16:19
58,517
-3
16 Sept 2026, 06:40
58,520
+76
12 Sept 2026, 21:03
58,444
-50
11 Sept 2026, 00:20
58,494
-67
8 Sept 2026, 00:41
58,561
-7
4 Sept 2026, 21:56
58,568
-19
3 Sept 2026, 09:16
58,587
-2
2 Sept 2026, 01:42
58,589
+28
1 Sept 2026, 02:14
58,561
-42
31 Aug 2026, 00:28
58,603
-31
30 Aug 2026, 03:43
58,634
-32
29 Aug 2026, 01:17
58,666
-32
28 Aug 2026, 04:33
58,698
+9
27 Aug 2026, 04:04
58,689
-43
26 Aug 2026, 04:46
58,732
-25
25 Aug 2026, 01:15
58,757
-29
23 Aug 2026, 15:54
58,786
-43
22 Aug 2026, 02:05
58,829
-2
20 Aug 2026, 21:56
58,831
-77
20 Aug 2026, 00:32
58,908
first reading
Engagement
160 posts held, back to 28 July 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 104 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.5%
avg views ÷ 58,517 subscribers
Avg views / post
8,510
82 posts measured
Reaction rate
3.94%
reactions ÷ views · ER floor
Posts in window
83
of 160 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
160 (28 July 2026 – 26 September 2026)
Views total
698,030
Reactions total
27,491
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Sept 2026, 16:05 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
≈6,150
Videos
≈1,350
Links
≈630
Lifetime counters from Telegram’s own channel header, read 26 September 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
34m 33s
Average length
53s
Measured directly from 39 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
52,398 reactions across 159 posts, in 7 distinct kinds. The most used accounts for 41.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5364201435858744869
21,843
41.7%
custom 5373310043586310463
11,295
21.6%
custom 5276337181055533947
7,210
13.8%
custom 5465280918484704641
4,744
9.05%
custom 5461005184052246279
3,762
7.18%
custom 5427373850662809094
3,160
6.03%
custom 5406683434124859552
384
0.733%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 159 of the 160 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 52,398 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 160 most recent posts we hold, published 28 July 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.
Кто хорошо летом отдыхал на солнце, тот осенью убирает пигментные пятнышки после того самого солнца😁
Из последних удачных новинок я протестила выравнивающую сыворотку Openface с витамином С и миндальной кислотой All Bright.
И знаете что? Я прям отдельно хочу отметить текстуру сыворотки: она гелевая, пластичная, но не жирная и не липкая, не выдает прочих неприятных сюрпризов. Так что последующие слои косметики лягут…
Второй день разбираю вещи и косметику. Разобрала все баночки в ванной, расставила мыло на финальный этап тестирования
А еще у меня появилось второе лицо - зона декольте. Последние несколько месяцев (больше полугода) кожа ведет себя очень плохо.
Постоянные непроходящие высыпания, даже Decode не помогает.
В Китае все еще больше обострилось по непонятной причине, похожей на аллергию.
На что была реакция - неясно. Никак…
Не поленилась, притащила мыло Tamburins. Идеальный флакон для кухни, конечно.
Тестировала у них прямо в раковине))
Еще купила одно для ванны.
Из парфюмов, купила 2 аромата в маленьких флакончиках для коллекции. На полноразмеоы не решилась
PS: а еще я забрала флакон жидкого мыла Diptyque из отеля🧟♀️
Меня терроризирует звонками СОВКОМБАНК уже несколько дней
Звонят с разных номеров, блок не помогает
Когда беру трубку, они молчат и затем сбрасывают
При этом все номера определяются, как номера СОВКОМБАНК.
Что им надо - непонятно и не особо интересно. Счетов в их банке у меня нет🤡
Никто случаем не знает, что у них там происходит?
Ну а теперь платье🥀
Я бы очень хотела поблагодарить Иру, которая откликнулась в самый нужный момент, когда я уже совсем отчаялась и сделала то, что я даже не могла представить.
Ни одно платье в моей жизни не сидело так, как это.
Спасибо, Ира.
Сейчас за столом рассказывала девочкам про свой метод БЕЗОПАСНОЙ мокрой укладки с гелем для блонда и ломких волос
Смачиваем волосы, наносим маску для волос от корня до кончиков тончайшим слоем. И уже сверху можно наносить гель.
Бинго! Вы великолепны!
Ну и вот эту именно ЧЕРНУЮ маску рекомендую взять на заметку для истонченных, ломких, поврежденных волос. Я ее попробовала только в этом пресс туре, но пользуюсь при к…
По наводке Арины Вискеры я второй раз захожу в Mason Prince! Очень крутой магаз
Влюбилась в эти сапожки, но купила только подарки мужу, потому что ни места в чемодане уже нет, ни 45 тыщ отдавать 😹
Но блин… крутые!
Вашеньку разорвал 5-этажный Юникло с возможностью напечатать принты на майках за 5 минут😹
Напечатала на подарки, довольная
PS: извините за дряблые ножки, но что имеем)))
Showing the 12 most recent of 160 posts we hold for @mashanedovolnaya. 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
@mashanedovolnaya 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
14 August 2026
Most recent edit
14 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
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“НЕДОВОЛЬНАЯ” (@mashanedovolnaya), 58,517 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/mashanedovolnaya.
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.
