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Channel

Как не наряжаться?

@howtostopdressingup

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

3,542subscribers

-115 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002415737376
TypeChannel
Username@howtostopdressingup
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/howtostopdressingup

Topic

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 14 September 2026 and assigned it the closest of 31 fixed categories, at 45% 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

3,5423,6573,599.56 August 2026 — 3,657 subscribers6 August 2026 — 3,657 subscribers7 August 2026 — 3,656 subscribers10 August 2026 — 3,648 subscribers14 August 2026 — 3,634 subscribers17 August 2026 — 3,621 subscribers20 August 2026 — 3,612 subscribers24 August 2026 — 3,604 subscribers27 August 2026 — 3,597 subscribers30 August 2026 — 3,588 subscribers2 September 2026 — 3,580 subscribers7 September 2026 — 3,562 subscribers12 September 2026 — 3,548 subscribers15 September 2026 — 3,542 subscribers6 August 202615 September 2026
14 measurements spanning 40 days, net -115. 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 3,525–3,674 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 09:583,542-6
12 Sept 2026, 02:583,548-14
7 Sept 2026, 09:153,562-18
2 Sept 2026, 06:463,580-8
30 Aug 2026, 10:433,588-9
27 Aug 2026, 01:343,597-7
24 Aug 2026, 04:373,604-8
20 Aug 2026, 18:263,612-9
17 Aug 2026, 21:483,621-13
14 Aug 2026, 17:283,634-14
10 Aug 2026, 23:053,648-8
7 Aug 2026, 12:523,656-1
6 Aug 2026, 18:153,657no change
6 Aug 2026, 18:043,657first reading

Engagement

7 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pages 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 7 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

138 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 48.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6748.6%
😍4230.4%
💔2921.0%

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 7 of the 7 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 138 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 19 June 2026 to 4 August 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.

Recent posts

4 Aug 2026, 13:22 UTC130 views12 reactionsread 7 August 2026

Хотите повторить образы с последних показов Versace или Gucci, но не хотите платить за это более 2000€? Тогда вам точно нужно прочитать этот пост

5😍4💔3

3 Aug 2026, 15:08 UTC167 views13 reactionsread 7 August 2026
Photo

↑ на самом деле знаю, с чем его носить. Оочень хорошо будет смотреться с converse под питона или высокими кедами от stüssy Единственное, совсем не хочется ждать их 3 месяца из Китая, а в России пока не нашла 🙏

7😍6

3 Aug 2026, 13:36 UTC199 views16 reactionsread 7 August 2026
Photo

Бежевая мама в деле 💅🏼 Купила тренч на осень из love republic, по скидке за 10к. Ткань огонь, плащёвка, не хлюпенькая Теперь осталось понять, с какой обувью его носить…

7😍6💔3

2 Aug 2026, 17:01 UTC237 views18 reactionsread 7 August 2026
Photo

Кажется, это первая футболка, которая появится в моем гардеробе Asya Semyonova 6 990₽

7💔6😍5

31 Jul 2026, 16:30 UTC295 views20 reactionsread 7 August 2026
Photo

Пятничная насмотренность

11😍5💔4

20 Jun 2026, 13:41 UTC587 views28 reactionsread 7 August 2026
Photo

Ну я не могу 💔 Soleil объединили сразу несколько трендиков: полоска + пайетки и смотрите, какая хорошая юбка получилась! Цена вопроса — 22.000

14😍8💔6

19 Jun 2026, 19:38 UTC528 views31 reactionsread 7 August 2026
Photo

Пятничная насмотренность

16😍8💔7

Showing the 7 most recent of 7 posts we hold for @howtostopdressingup. 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.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Как не наряжаться?” (@howtostopdressingup), 3,542 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/howtostopdressingup.

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.