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 11 September 2026 and assigned it the closest of 31 fixed categories, at 86% 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
24 measurements spanning 42 days, net +3,225. 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 7,351–13,263 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
18 Sept 2026, 20:57
12,383
-53
16 Sept 2026, 12:37
12,436
-78
14 Sept 2026, 16:18
12,514
-67
13 Sept 2026, 01:38
12,581
+1,019
11 Sept 2026, 01:19
11,562
-869
8 Sept 2026, 05:35
12,431
+4,398
3 Sept 2026, 01:55
8,033
-2,306
1 Sept 2026, 23:15
10,339
-33
1 Sept 2026, 01:05
10,372
+4
31 Aug 2026, 03:17
10,368
-13
30 Aug 2026, 00:28
10,381
-17
29 Aug 2026, 03:57
10,398
-16
28 Aug 2026, 05:44
10,414
-30
27 Aug 2026, 07:37
10,444
-4
26 Aug 2026, 10:47
10,448
+406
25 Aug 2026, 11:02
10,042
+1
24 Aug 2026, 07:37
10,041
-33
22 Aug 2026, 12:05
10,074
-48
21 Aug 2026, 04:13
10,122
+1,543
17 Aug 2026, 20:47
8,579
first reading
Engagement
14 posts held, back to 29 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 36 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.1%
avg views ÷ 12,383 subscribers
Avg views / post
1,250
2 posts measured
Reaction rate
7.78%
reactions ÷ views · ER floor
Posts in window
2
of 14 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
14 (29 July 2026 – 28 August 2026)
Views total
2,506
Reactions total
195
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
29 Aug 2026, 14:56 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
3m 23s
Average length
41s
Measured directly from 5 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
1,220 reactions across 12 posts, in 12 distinct kinds. The most used accounts for 29.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
355
29.1%
🔥
269
22.0%
😍
227
18.6%
👍
208
17.0%
🍓
88
7.21%
✍
28
2.30%
🎉
15
1.23%
⚡
8
0.656%
💯
8
0.656%
💘
5
0.41%
😁
5
0.41%
💔
4
0.328%
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 12 of the 14 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 1,220 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 29 July 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.
💗💗💗💗💗💗💗— это просто невероятная находка от RBG! Давно хотела попробовать их средства, и реальность превзошла все ожидания.
Начну с бальзама для губ в белом футляре — он работает мгновенно: отлично питает, убирает все шелушения и оставляет губы такими мягкими 💗
💗 И ещё один восторг — дуэт для глаз из линейки «Чёрная Москва». Тушь дает просто шикарный объем и разделение, а еще она термостойкая — для меня это сейчас р…
🍂 А вы уже выбрали свои любимые ароматы на осень? 🍂
Решила начать осеннюю перезагрузку с обновления парфюма. У меня с Faberlic уже давно особенная любовь к ароматам — всегда нахожу что-то под настроение.
В этот раз выбрала очень нежный, легкий и совсем не приторный вариант. Он идеально ложится на прохладную погоду, создавая вокруг какой-то особенный уют. Для меня это сейчас буквально аромат осеннего настроения: спо…
Мамины будни без боли в спине — это реально! 🛌
С таким пеленальным столиком это спасение для спины и рук.
В нем продумано все :
🙂есть удобные корзины для подгузников, салфеток и кремов, плюс отдельная полка для вещей. 👶Не нужно бегать по комнате, пока малыш ждет.
🙂столик на колесиках — легко перекатить из спальни в ванную.
🙂мягкие накладки, высокие бортики и ремни фиксации — за кроху можно не волноваться.
Главны…
Пополнила книжную полку Кириллу! Заказывала у издательства Проф-Пресс, и мы в полном восторге от выбора. Делюсь нашими находками:
📚Первая книга малыша. Внутри собрано всё самое важное для развития: алфавит, цифры, цвета и фигуры. Очень удобно, что все базовые темы в одном месте.
🌙 Маленькие сказки — теперь это наш главный ритуал перед сном. Идеальный формат, чтобы спокойно почитать и настроиться на отдых.
🦖 Удивит…
Дома, где живут хвостатые, чистота — это вопрос не только эстетики, но и безопасности. 🐾
Поэтому я с удовольствием тестирую средства BioMio. Они отлично справляются с любыми загрязнениями, при этом безопасны для питомцев: никакого резкого запаха и химии, которая могла бы раздражать чувствительные лапки или носики. Уборка стала спокойнее, а дома дышится легко.
А еще мы с моей йоркширской «коллегой» протестировали вк…
Это волшебство какое-то не иначе 😍
МОЛОДИЛЬНОЕ ЯБЛОЧКО №2/2026
Бренды в составе:
Kore'OK – Primaderma – SELFIELAB – COLLAGENE 3D Medical – APIVITA – URIAGE – Selflove Medical – Yllozure – Триумф красоты – 4FRESH – Я ль на свете всех милее – Sarkazm – Himalaya – Supreme Pharmatech
Обожаю баловать себя ❤️
Девочки, спасайте — я наконец-то нашла идеальную помощницу на кухне! ✨
Раньше подготовка овощей для заготовок или простого салата занимала кучу времени (и вечно эти ссадины на пальцах от обычной терки, брр...). Но теперь у меня появилась — мультифункциональная терка-овощерезка от Faberlic. Это просто восторг! 😍
Почему я от нее в таком восторге:
• Три в одном: В комплекте три вида насадок — мелкая терка, крупная и …
Девочки, не могу не поделиться своей находкой — я просто влюбилась в новый аромат! 😍Увидела его у подружки, затестила... и всё, пропала. Это K8 от S Parfum.
🎁Он как настоящий алмаз — раскрывается постепенно, переливаясь разными гранями. На старте такая сочная свежесть бергамота с терпкой ноткой черной смородины — сразу чувствуется что-то особенное. Потом аромат начинает «играть»: появляется нежная сладость малины и …
«Мам, я справлюсь!» — это, пожалуй, одна из лучших находок для нас в последнее время. 😍
Знаете, это как конструктор, только вкусный! Сегодня мы с Кириллом решили сделать шоколадные грибочки. В наборе есть всё необходимое, и это не просто развлечение, а целая тренировка:
✅ Усидчивость и терпение. Да-да, самое сложное — ждать целых 10 минут, пока грибочки застынут! Учимся контролировать нетерпение.
✅ Мелкая моторика.…
🤎🤎🤎🤎🤎🤎🤎 у племянника был день рождения, и я решила одним из подарков подарить ему то, что всегда актуально, — хорошие книги. 📚
Мой выбор пал на издательство Проф-Пресс: у них отличный выбор для детей.
🤎🟤🤎🤎🤎🤎🤎🤎🤎 просто обожает котиков, 🐈⬛поэтому взяла для него сразу две тематические книги:
1️⃣«Большая энциклопедия для детей Кошки». Это просто восторг! Очень яркие иллюстрации, качественная печать, а внутри - просто …
Showing the 12 most recent of 14 posts we hold for @dedova_marina. 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
@dedova_marina edited 3 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
10 August 2026
Most recent edit
25 August 2026
Mentions
Named by 4 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.
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.
“Декрет со скорпионом🦂” (@dedova_marina), 12,383 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/dedova_marina.
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.