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 20 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
10 measurements spanning 65 days, net -63. 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 782–863 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Oct 2026, 12:37
791
-5
1 Oct 2026, 20:40
796
-10
16 Sept 2026, 18:01
806
-6
8 Sept 2026, 08:37
812
-16
31 Aug 2026, 00:55
828
-7
23 Aug 2026, 06:47
835
-10
15 Aug 2026, 06:47
845
-8
8 Aug 2026, 01:18
853
no change
7 Aug 2026, 18:06
853
-1
7 Aug 2026, 16:42
854
first reading
Engagement
6 posts held, back to 26 March 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 6 posts for this entry, the most recent from 28 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
11s
Average length
11s
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
47 reactions across 6 posts, in 8 distinct kinds. The most used accounts for 38.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
18
38.3%
custom 5372821018609999308
8
17.0%
😍
7
14.9%
👍
4
8.51%
custom 5406612309466440235
3
6.38%
🔥
3
6.38%
😁
2
4.26%
🥰
2
4.26%
Custom emoji. 2 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 6 of the 6 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 47 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 26 March 2026 to 28 April 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.
Все началось с нашей любимой игры сейчас с Алисой - в доктора или стоматолога 🦷
Наш врач постоянно тщательно осматривает зубы у игрушек
И тут мы поняли, что у нас самих запасы зубной пасты закончились. Взяли сразу, чтобы хватило надолго новую линейку от Faberlic :
- интенсивное отбеливание
- восстановление эмали
- здоровье десен
- комплексный уход
- бережное отбеливание
- ежедневное отбеливание
+ ополаскиватель для …
Рассказываю вам свою главную новость 🔝
За последние два месяца я нашла то, чем могу заниматься с удовольствием, то чем горю и то, что доставляет радость не только мне, но и моим прекрасным клиенткам 🩶
Я отучилась и активно работаю лэшмейкером ✨
Никогда не думала, что уйду в бьюти сферу, но кроме плюсов и большого интересного пути впереди, не вижу ничего
🤍 Буду рада, если поддержите подпиской на мой аккаунт, сами з…
🌿 Мне так интересно всегда было, что за стиральный порошок у тех, у кого невероятный аромат от постельного белья..
И тут я наконец-то нашла в чем секрет! Оказывается существует прям парфюм для стирки. Знали про такое?
💚 Одна столовая ложка и крепкие сны с весенним ароматом вам обеспечены. Кстати, на пробу были разные гранулы, но мой топ это определенно Smart laundry от Faberlic. Очень легкий и свежий запах. Постирал…
Как классно отдохнуть в плохую погоду? ☔️
Уехать из города на буднях в подмосковный отель🌲
🔸Хоть обещали дождь и снег все три дня, когда мы пошли в зоопарк ( выбрали этот отель именно из-за него ), вышло даже солнышко🌤️
🔸Ели уху из казана на свежем воздухе
🔸Катались на велосипеде
🔸Танцевали на детских дискотеках
🔸Много и вкусно кушали
🔸Плавали в бассейне и сидели в саунах
Но не обошлось без минусов:
▫️Отдых с ребе…
Давно не делилась с вами новыми покупками, но тут не могу не рассказать
Для тех, кто любит сладко-фруктовое 🧁
и хочет пахнуть как зефирка
Духи beautycafe Delice от Faberlic
🩷Верхние ноты:
мандарин, шелковица,
флердоранж
🩷Ноты сердца: ежевика, гардения, крем-брюле
🩷Шлейф: сандал, стручки ванили, бисквит, маршмеллоу
Флакон отдельное эстетическое удовольствие, бархатных у меня еще не было 🤩
Ну наконеееец-то мы вышли на улицу 😊
В такую погоду сидеть дома просто пытка
Мы уже достали игрушки, в которые больше года не играли, перемыли окна и еще много чего
➡️Уши почти прошли, осталось вылечить носик ⬅️
В сад не пойдем, пока не буду уверена, что мы на 100% здоровы
Болеть это ужасно, всем здоровья🩷
custom 53728210186099993085❤2🥰2😍1
Showing the 6 most recent of 6 posts we hold for @Nuu_Marusya. 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@Nuu_Marusya named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@maryglow_lashes named in 1 post, 8 August 2026 – 8 August 2026
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 11 October 2026 — this
entry's latest reading, not the date you are reading this.
“Ну, Маруся” (@Nuu_Marusya), 791 subscribers as measured 11 October 2026. Telegram Register, tgregister.com/channel/Nuu_Marusya.
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.