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 22 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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
5 measurements spanning 29 days, net -5. 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 358–366 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
5 Sept 2026, 17:20
359
-2
27 Aug 2026, 19:42
361
-4
14 Aug 2026, 22:57
365
+1
8 Aug 2026, 06:32
364
no change
7 Aug 2026, 16:00
364
first reading
Engagement
5 posts held, back to 10 January 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 5 posts for this entry, the most recent from 6 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
53s
Average length
53s
Measured directly from 1 video 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
155 reactions across 5 posts, in 8 distinct kinds. The most used accounts for 34.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5426885358262437808
53
34.2%
❤
32
20.6%
custom 5411448738994480535
25
16.1%
🔥
19
12.3%
custom 5449702934663148565
16
10.3%
😭
6
3.87%
custom 5427286478143108990
3
1.94%
custom 5204042161225481556
1
0.645%
Custom emoji. 5 of the rows above are 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 5 of the 5 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 155 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 10 January 2026 to 6 February 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.
Не знаю зачем вам эти странные..и не сказать, что дешевые вещи 🤩
Но полюбуйтесь на них вместе со мной 😍
Такое мне попадается исключительно на Яндекс Маркете
И его премиум версии ULTIMA, где если честно, я еще ни разу сама пока ничего не заказывала 🥺 #ажаль
Пока только ставлю ♥️и добавляю в избранное.
Заказывали ли вы что-то из раздела Ultima ?
Там даже можно урвать оригинальные знаменитые tabi от Maison Mar…
Делюсь лайфхаком для самых экономных, либо тех, кто вечно не находит нужный размер / или вещь.
Самые большие скидки обычно в конце распродаж, но найти «комплект» практически невозможно.
Что сделала я:
1️⃣Увидела супер качественный жакет в lime ( прям плотный такой , аккуратный - будто из какого-то российского премиум бренда, где такие тыс по 35 минимум )
2️⃣ Он еще и идеально сидящий по фигуре и с тааакой …
“Барби 35+ которая еще не накопила на Chanel” - так бы назвала я новую коллекцию: Олеси Иванченко & Zarina 💖
Не могла оставить вас без небольшого обзора, забежав с дочкой в ТЦ.
💖 смотрите видео ⬆️
- платье розовое в горох ( понравилось больше всего)
Думаю 🤷♀ брать не брать ?
- жакет и юбка аля Шанель
- пушистик розовый
- брюки кюлоты
- блузка в горох ( не поняла ее)
- юбка с подкладом в горох ( черная еще т…
Бабка Ванга Настя предсказывала вам еще в ноябре на Архивах, что нас скорее всего будет ждать в магазинах:
- оранжевый 🧡
- белье виднеющиеся из-под..🤩
- широкие ремни 🤩
- и стиль 70-ых / ( и вскоре 80-ых )
Ну что ж, коллекция Lime полностью оправдала мои слова.
На что советую обратить внимание: бомбические слингбеки с золотым носиком.
Модницы быстро смекнули, что это YSL, который мы можем себе позволить и вот : …
Ох уж эти блоггеры.. как начнут какую-то вещь все разом носить, и красивые лучки с ней собирать - так нам всем сразу надо…🥺
Так было с меховым болеро, которое сейчас, кстати, на классной скидке!
я поэтому тоже примерила…но удержалась от покупки 🥳 #похвалите меня
Да, роскошно, но чую - надену пару раз, под курткой носить неудобно..
А вот шуба за 6999 руб. - это считаю прям #берибеги присмотритесь, девочки!
…
Showing the 5 most recent of 5 posts we hold for @nuradivoga. 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
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ну ради Вога!” (@nuradivoga), 359 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/nuradivoga.
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.
