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 94% 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
7 measurements spanning 38 days, net -33. 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 807–850 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 17:00
812
-5
7 Sept 2026, 10:17
817
-6
28 Aug 2026, 18:33
823
-6
22 Aug 2026, 16:44
829
-7
14 Aug 2026, 16:34
836
-9
8 Aug 2026, 01:20
845
no change
7 Aug 2026, 17:19
845
first reading
Engagement
8 posts held, back to 26 June 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 8 posts for this entry, the most recent from 22 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 28s
Average length
44s
Measured directly from 2 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
208 reactions across 8 posts, in 14 distinct kinds. The most used accounts for 44.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
93
44.7%
❤🔥
43
20.7%
⚡
15
7.21%
🥰
13
6.25%
🤣
11
5.29%
✍
8
3.85%
👀
5
2.40%
👌
4
1.92%
💩
4
1.92%
🙊
4
1.92%
custom 5337080053119336309
3
1.44%
🤗
3
1.44%
custom 5192824823339849885
1
0.481%
🙏
1
0.481%
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 8 of the 8 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 208 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 26 June 2026 to 22 July 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.
Telegram Stars
Stars received
10
across the posts below
Posts paid on
8
of 8 we hold a reading for · 100%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @vospitannaya_pyl. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 8 most recent posts we hold for this entry, published 26 June 2026 to 22 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Байредо, конечно, хорошо, но это уже «не модно».
Понятное дело, всё новое — это переделанное и порой даже улучшенное старое. Так и с этим Per Se. Это такой нишевый Blanche для модных.
Испания со своим брендом 27 87 сделала лучший технически собранный аромат чистоты. Стойкость, диффузия и баланс чистого воздуха.
Я его уже описывал тут. 📌
Да, Toy 2 Moschino лёгкий и такой же милый, но стойкость у него, увы, мала. Он…
Дальше случился Couleur Primaire Les EAUX Primordiales…
Так как Malle с Acne Studios открыли портал, я начал искать всё, что пахнет похоже. И нашёл: это уже запах моих постиранных футболок, так они пахнут прямо из стиралки.
Если бы про запах можно было сказать «хрустит», это он.
Признаюсь, люди на него странно реагируют. Не считывают это за парфюм и то, что кто-то (я) будет поливаться ароматом «Миф Морозная свежес…
Ароматы чистоты из моей коллекции. Часть 1
В Covid меня эта тема как-то обошла стороной. И пока многие угорали по Byredo Blanche, я вообще не понял, в чем его прелесть.
Мне всегда нравилось, как моя футболка пахнет стиральным порошком или кондиционером. Признаюсь, не всегда это было уместно, но мой Ariel Pro было не выполоскать.
И вот только пару лет назад я поймал дзен. «Запахи чистоты» — моя прелесть.
Причем мн…
Запах, который появляется не сразу после душа, а спустя несколько часов? Похоже, это уже не фантастика.
Givaudan представила Scentaurus Aquamelon — первую технологию для ухода за волосами, где аромат высвобождается постепенно. Всё благодаря молекуле-прекурсору: пока волосы сохнут, кислород воздуха запускает химическую реакцию, и ароматические вещества начинают раскрываться порциями.
Аромат раскрывается нотами з…
Вот такой рилс попался мне недавно, и я подумал: а почему бы не задать этот вопрос вам?
Сколько у вас флаконов духов? Или флаконов с духами? Или просто духов? Говорите как хотите, это всё-таки разговорный язык, а не экзамен по стилистике.
Хотелось бы иметь — это уже совсем другой разговор. Кстати, однажды я даже сел и посчитал, сколько флаконов мне на самом деле нужно для полного парфюмерного счастья. Ссылку на тот…
Вчерашний день, в общем, для меня прошёл очень интересно. Знаете, в двух словах: Beach и Ambre. Вот именно так я вчера шлейфил по улице.
А теперь поподробнее.
Увидев наконец-то приехавшую новинку от Essential Parfums — Ambre Latte, я, так сказать, неспешно зарулил её попробовать.
И что я могу сказать? Да, это такое гурманское направление. Действительно пахнет каким-то миндальным молочком, возможно, карамелью. Но в…
Hormone Paris — нейробиология в парфюмерии
GABA, дофамин, окситоцин, тестостерон и даже кофеин. Нет, гормонов во флаконе нет. Есть попытка перевести эмоции на язык запахов: спокойствие, концентрацию, уверенность или прилив энергии.
«This is Not»… названия парфюмов начинаются со слов «это не» гормон. После некоторых разбирательств в духе «не сушить собаку в микроволновке». Теперь мы понимает что это не мед зелье
…
Когда колонка… не колонка.
BYREDO представил Olfactive Stéréophonique — объект, который выглядит как аудиосистема, но вместо музыки воспроизводит аромат.
Коллаборация с OJAS — студией Девона Тёрнбулла, известного своими культовыми аудиосистемами ручной работы. Идея проста и одновременно безумна: музыка должна звучать не только в ушах, но и в воздухе вокруг вас.
Внутри нет привычного диффузора с водой или спиртом. …
🔥9❤🔥8⚡7custom 53370800531193363092
Showing the 8 most recent of 8 posts we hold for @vospitannaya_pyl. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Воспитанная пыль” (@vospitannaya_pyl), 812 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/vospitannaya_pyl.
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.
