Art & design — 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 27 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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 49 days, net -9. 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 97–108 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Oct 2026, 05:39
98
-2
17 Sept 2026, 09:01
100
-1
9 Sept 2026, 22:36
101
-3
30 Aug 2026, 21:07
104
-1
23 Aug 2026, 23:16
105
-2
16 Aug 2026, 06:04
107
no change
14 Aug 2026, 20:16
107
first reading
Engagement
4 posts held, back to 20 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 4 posts for this entry, the most recent from 7 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
23s
Average length
12s
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
45 reactions across 4 posts, in 8 distinct kinds. The most used accounts for 31.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
14
31.1%
💘
7
15.6%
custom 5188507492149118367
6
13.3%
custom 5474655135579787326
6
13.3%
🤩
4
8.89%
🍾
3
6.67%
💋
3
6.67%
❤🔥
2
4.44%
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 4 of the 4 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 45 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 20 June 2026 to 7 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.
Художник Жоэль Блан больше 20 лет пишет акварели прямо во время матчей Ролан Гаррос, фиксируя в режиме реального времени стремительные движения теннисистов. Команда Chanel пригласила Жоэля поработать на кутюрном шоу: художник признается, что поймать и зафиксировать детали платьев за несколько секунд на подиуме не так уж просто.
#straightfacecases
В своей жизни я готова смотреть бесконечно лишь на три вещи:
1. Всё, что делается Симоном-Портом Жакмюсом
2. Всё, что делается Матье Блази
3. И, конечно же, всё, что делается Джонатаном Андерсоном
Но сегодня я поговорю только о Jacquemus, а точнее о последней коллекции. Как всегда — прекрасные образы, место проведения показа, гости, модели и всё шоу. Мне понравился буквально каждый образ, поэтому я даже не могу соб…
Не считаю, что достаточно хорошо разбираюсь и понимаю мужскую моду, чтобы писать о ней, но не могу пройти мимо дебюта Сары Бёртон в мужском направлении Givenchy. Двубортные жакеты в сочетании с широкими брюками выглядят настолько лаконично в исполнении Сары, что хочется запомнить это навсегда.
Довольно-таки сильный акцент был поставлен на ткани, вышивку и яркость. Не включила в подборку, но половина коллекции была с…
А вот и первые фотографии свадебной фотосессии Дуа Липы и Каллума Тёрнера! Просто невероятное платье, созданное Chanel, хотя я предполагала, что выбор падёт на Versace, но итог превзошёл ожидания.
Это первый свадебный образ Chanel Haute Couture, созданный Матье Блази для подруги модного дома. Очень понравились украшения из кристаллов, невероятно длинный шлейф с перьями и эти прекрасные лодочки.
🔥5💋3💘2
Showing the 4 most recent of 4 posts we hold for @whitecamelk. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 3 October 2026 — this
entry's latest reading, not the date you are reading this.
“whitecamel” (@whitecamelk), 98 subscribers as measured 3 October 2026. Telegram Register, tgregister.com/channel/whitecamelk.
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.