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 10 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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
33 measurements spanning 42 days, net -356. 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 15,549–16,011 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 08:00
15,602
-31
15 Sept 2026, 23:36
15,633
-10
14 Sept 2026, 09:41
15,643
-12
12 Sept 2026, 15:39
15,655
-5
10 Sept 2026, 15:01
15,660
-28
7 Sept 2026, 12:00
15,688
-19
4 Sept 2026, 17:20
15,707
-20
3 Sept 2026, 06:18
15,727
-12
2 Sept 2026, 01:42
15,739
-16
1 Sept 2026, 03:07
15,755
-13
31 Aug 2026, 01:44
15,768
+3
30 Aug 2026, 01:57
15,765
-11
29 Aug 2026, 05:05
15,776
-8
28 Aug 2026, 06:17
15,784
-11
27 Aug 2026, 07:54
15,795
+10
26 Aug 2026, 10:46
15,785
+31
25 Aug 2026, 10:33
15,754
-8
24 Aug 2026, 09:56
15,762
-11
22 Aug 2026, 18:59
15,773
-6
21 Aug 2026, 11:54
15,779
first reading
Engagement
25 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 52 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.52%
avg views ÷ 15,602 subscribers
Avg views / post
1,170
7 posts measured
Reaction rate
0.743%
reactions ÷ views · ER floor
Posts in window
7
of 25 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 1 September 2026
Posts held
25 (28 July 2026 – 1 September 2026)
Views total
8,215
Reactions total
61
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:18 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
9m 10s
Average length
28s
Measured directly from 20 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
319 reactions across 25 posts, in 12 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
❤
147
46.1%
🔥
119
37.3%
👍
13
4.08%
🥰
13
4.08%
💯
7
2.19%
👏
6
1.88%
😍
5
1.57%
💔
3
0.94%
🤩
3
0.94%
👀
1
0.313%
💅
1
0.313%
💋
1
0.313%
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 25 of the 25 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 319 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 28 July 2026 to 1 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.
Собрала дофаминовый образ для Вани, а он почему-то не оценил 🤣
Кстати заметила, что сейчас в размере плюс в тц стало намного проще одеваться, у многих брендов сейчас есть plus size линейки (Befree, GJ, New Yorker, Zola и т.д)
Штаны для обертывания оказалась очень удобная вещь, кто тоже намучался с пленкой, очень советую 👌
Их много разных на ВБ и Озон
Себе заказала эти 👇
ВБ #32728336
Как вычислить ханжей 👌
Выставила в инсте сегодня эту сторис, дебаты теперь в директе у меня бурные. Зато можно вычислить и заблокировать неадекватных. Я вот не ханжа и считаю, что человек должен проявляться так как он хочет, в том числе и внешне. И особенно это важно в подростковом возрасте, пробовать новое и искать себя 🔥
Мне кажется у меня леопардовая зависимость 🐆🐆🐆
Один из любимых принтов 😍
📎
Брюки лео до 68 размера
Футболка черная утягивающая
Пиджак черный
Толстовка с вишнями от костюма
Бомбер коричневый
Кофта розовая 4Forms
Подборка новинок от одного из самых стильных брендов с plus size линейкой Oksana Utova brand 😍
У меня в гардеробе есть много вещей от Оксаны Утовой, и я всегда слежу за новыми поступлениями, потому что вещи бренда как произведение искусства, их хочется рассматривать и восхищаться
Один минус- надо успевать купить, все очень быстро разбирают, но это и не удивительно 😉
Ссылки Wildberries
🍭Пальто сапфировое
🍭 Косуха о…
Такое вот до/после 💫
Три недели тестирую ту самую сыворотку C-energy от GELTEK, и мне кажется, результат уже очевиден 😍
Могу смело сказать, что с заявленными задачами сыворотка справляется на ура.
Что отметила для себя 👇
•останавливает образование пигментации и осветляет поверхностную пигментацию
•усиливает естественное сияние кожи
•повышает упругость и тонус кожи
Сыворотка C-energy содержит в составе две формы ст…
Стильные новинки на осень от бренда iskrenne, размерная сетка до 66 размера, а некоторые модели до 74 размера 💫
Бренд теперь представлен на Lamoda, в связи с последними событиями, это очень удобно, быстрая доставка 🚚 📦
Ссылки и артикулы на вещи 👇
🍒 Пиджак в полоску MP002XW1MCTC
🍒 Брюки в полоску MP002XW1MEMC
🍒 Бомбер коричневый MP002XW1MSNS
🍒 Брюки бананы MP002XW1MZX9
🍒 Рубашка красная MP002XW1MZSR
🍒 Джинсы MP002XW…
Сегодня читмил) давно хотела шарлотку. Оставлю самый простой рецепт, по которому пирог всегда получается легко и вкусно 🥮
Только вот я отвлеклась на домашние дела и поздно выключила духовку, еще немного и пришлось бы мне печь шарлотку сначала 🫣
Сейчас конечно сложный период, на плюсовой размер и так выбор был всегда ограничен 🫠
А сейчас пока закажешь вещи, пока они приедут , отснимешь и смонтируешь, размеры закончились 🤷♀️
Поэтому если каких-то позиций нет в наличии, просто добавляйте в лист ожидания. Я переодически отслеживаю и размеры появляются. Но их потом опять быстро разбирают
Все костюмы с WB 👇
🍒Молочно-красный #727129303
(Идет до 52 размера, но так…
Хотела сделать в одном видео большую подборку спортивных костюмов на осень, но боюсь, что пока все дойдет, размеров вообще не останется 🙈
Поэтому буду снимать в несколько частей
Артикулы ВБ 👇
Леопардовый костюм #294583217
Лонг в цветочек #327487696
❤9🔥3🥰2👀1
Signed Маргарита Данина
Showing the 12 most recent of 25 posts we hold for @margaritaDanina. 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.
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.
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.
ГИБКИЙ ЗОЖ|Настя @redbarlady13 · 41,951 Telegram ranks this channel #33 of 52 here — alongside 51 others — read 29 August 2026
Я ТОЛЬКО ПОСМОТРЕТЬ @kristella_kapralova · 29,198 Telegram ranks this channel #47 of 68 here — alongside 67 others — read 9 September 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Danina_M” (@margaritaDanina), 15,602 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/margaritaDanina.
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.