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 20 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
10 measurements spanning 60 days, net -25. 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 805–838 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
6 Oct 2026, 21:01
809
-6
26 Sept 2026, 17:19
815
-11
14 Sept 2026, 13:38
826
-1
6 Sept 2026, 08:01
827
-1
30 Aug 2026, 01:04
828
-2
23 Aug 2026, 09:28
830
-1
15 Aug 2026, 07:13
831
-2
8 Aug 2026, 04:58
833
-1
8 Aug 2026, 01:21
834
no change
7 Aug 2026, 16:39
834
first reading
Engagement
13 posts held, back to 25 February 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 13 posts for this entry, the most recent from 6 April 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 07s
Average length
13s
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
19 reactions across 11 posts, in 5 distinct kinds. The most used accounts for 42.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8
42.1%
👍
5
26.3%
🔥
4
21.1%
🍓
1
5.26%
😁
1
5.26%
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 11 of the 13 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 19 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 25 February 2026 to 6 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.
Как звезды делали моду: Мерлин и джинсы 🤯
До 1950-х джинсы были сугубо рабочей и мужской одеждой.
Все изменила одна женщина - Мерлин Монро. Она смело надела джинсы в фильмах «Река, с которой нет возврата» и «Неприкаянные», показав миру, что грубая ткань может быть невероятно женственной и сексуальной. 😏
Это был «инфлюенс-маркетинг» до появления самого слова!
Как думаете, а какая современная знаменитость лучше всего…
Первые джинсы были... коричневыми? 🤎
Знакомый всем синий цвет - не первоначальный!
Самые первые джинсы Ливай Страусса (основатель Levi's), сшитые в 1853 году для золотоискателей, были сделаны из коричневой парусины для палаток.
Они были невероятно прочными, больше напоминали комбинезон, но уже имели фирменную двойную строчку.
Синий деним появился чуть позже и покорил мир 💙
Какой цвет джинсов преобладает в вашем га…
Genes, Jane или Jeans? 🤔
💭 Самая популярная версия ведет нас в итальянскую Геную («Genes»). Ткань, которую именно оттуда привез Ливай Страусс, маркировалась штампом «Genes».
💭 По другой версии, всё началось с ткани «jean» из Генуи, в которой ходили местные моряки еще в XVI веке.
💭 Интересно отметить, что в Америке долгое время джинсы назывались просто «overalls» (комбинезоны).
А как называли джинсы в Вашей семье …
Всем привет! Давайте на чистоту 😉
Мы тут готовим для Вас множество полезных шпаргалок по выбору джинсов, уходу и стилю. Но иногда хочется отвлечься и просто узнать что-то интересное 😼
Например:
🔸 Что общего у джинсов и конской упряжи?
🔸 Почему первые джинсы были коричневыми?
🔸 Как Мерлин Монро изменила историю джинсов?
Интересно ли вам было бы иногда читать такие исторические факты и легенды о джинсах? Голосуйте! …
Как Вы носите наши джинсы в реальной жизни? ❤️
Рубрика продолжается, и мы очень ждем Ваши фото с джинсами от New Neuron в комментариях 🥺
Продолжим? 🔥#NewNeuronCrew
Джинсы-багги в образе с ассиметричным пиджаком 🖤
🔗 заказать тут
❤1
Showing the 12 most recent of 13 posts we hold for @NNBRANDS. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 13 most recent posts we hold, published 25 February 2026 to 6 April 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 6 October 2026 — this
entry's latest reading, not the date you are reading this.
“NEW NEURON BRANDS” (@NNBRANDS), 809 subscribers as measured 6 October 2026. Telegram Register, tgregister.com/channel/NNBRANDS.
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.