Art & design — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 6 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 9 comparable posts for this entry, running 30 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @fashionnvectordesign. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
4 measurements spanning 6 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 2,353–2,364 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:14
2,354
-3
9 Aug 2026, 14:12
2,357
-6
6 Aug 2026, 21:00
2,363
no change
6 Aug 2026, 20:49
2,363
first reading
Engagement
9 posts held, back to 30 July 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
2.11%
avg views ÷ 2,354 subscribers
Avg views / post
49.7
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 9 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 7 August 2026
Posts held
9 (30 July 2026 – 7 August 2026)
Views total
447
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:38 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
1m 42s
Average length
17s
Measured directly from 6 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.
Как менялись стандарты красоты за последние 400 лет?
Сегодня мы привыкли думать, что существует один «идеальный» тип фигуры. Но если посмотреть на историю моды, становится очевидно: идеал постоянно менялся.
🎨 Во времена Рубенса ценились мягкие округлые формы.
👑 В эпоху рококо главным украшением стала тонкая талия, которую создавал корсет.
✨ В XIX веке силуэт превратился в знаменитые «песочные часы».
🖤 В 1920-х ж…
Если вы ведёте творческий блог и делаете весь контент вручную - вот три инструмента, которые изменят это ⬇️
Не абстрактный список «топ нейросетей интернета». Конкретно три - под задачи дизайнера и творческого эксперта.
✦ ChatGPT - концепции, тексты, картинки
Универсальный помощник, который закрывает сразу несколько задач. Пишет тексты для постов, подписи к фото, описания коллекций, тех паки по фотографии. Генерируе…
Август в FVD CLUB - про видео с ИИ✨
Не теория о том, что видео важно. А конкретные инструменты, конкретные задачи, конкретный результат - который вы забираете с собой.
⬇️ Вот что будет:
3 августа - 7 нейросетей для создания видео. Разбираем, что существует, что реально работает, с чего начать.
5 августа - PDF с особенностями написания промптов для видео. Почему промпт для видео — это не то же самое, что промпт дл…
Хороший технический эскиз - это не конечная точка. Это начало⬇️
Большинство дизайнеров останавливаются здесь. Сделали эскиз, показали клиенту, отдали в производство. А дальше - тишина.
Но грамотно построенный эскиз в Adobe Illustrator - это ещё и готовое сырьё для контента. Нужно только знать, что с ним делать дальше.
▪️ Вот как выглядит цепочка:
✦ Шаг 1. Точный эскиз в Adobe Illustrator
Плоская раскладка спереди…
Как сделать рисунок по фото при помощи ИИ⬇️
Промпт для ChatGPT
"Transform the uploaded fashion photo into a professional black-and-white fashion sketch.
Preserve the original silhouette, proportions and garment details.
Loose expressive graphite pencil lines, visible construction lines, elegant fashion illustration, minimal shading, white paper background.
Haute couture sketchbook style, designer concept sketch,…
Если вы думаете, что видео - это только для блогеров и больших брендов, у меня для вас новость ⬇️
Видео сегодня - это самый быстрый способ захватить внимание. В ленте, в Reels, в Telegram. Алгоритмы везде продвигают движение. И если дизайнер или творческий эксперт не использует видео - он просто невидим для большой части аудитории.
❕ Но есть момент, который останавливает большинство.
Видео кажется сложным. Нужна к…
Многие думают, что дизайнер одежды - это тот, кто рисует красивые картинки.
На самом деле рисунок - только начало пути.
Вот как выглядит полный маршрут от идеи до готовой вещи ⬇️
✦ Концепция
До первого эскиза - исследование. Тренды, настроение, аудитория, цветовая палитра. Мудборд, который становится компасом для всей коллекции. Без концепции вещи получаются, но коллекции - нет.
✦ Художественный эскиз
Первый визуа…
Дизайнер работает не с абстрактным «человеком»
Он работает с конкретной фигурой - со своими пропорциями, особенностями и задачами.
▪️ Вот пять типов, которые нужно держать в голове - и понимать, как с каждым работать.
✦ Прямоугольник
Плечи, талия и бёдра примерно одной ширины. Силуэт ровный, без выраженных изгибов. Задача дизайнера - создать визуальный объём и форму там, где её нет. Работают структурированные вещи…
Хотите стать дизайнером одежды в 2026 году? Вот честный маршрут ⬇️
Не «поступите в институт и через 5 лет всё само сложится». А конкретные шаги, которые работают прямо сейчас.
За 13 лет в профессии и 900+ учеников я вижу одну и ту же картину: те, кто строят навыки системно - входят в индустрию. Те, кто учатся «всему понемногу» - буксуют годами.
✅ Вот что реально нужно в 2026-м:
✦ Шаг 1. Художественная и конструкт…
Showing the 9 most recent of 9 posts we hold for @FashionVectorDesign. 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.
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“fashion_vector_design” (@FashionVectorDesign), 2,354 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/FashionVectorDesign.
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.