24 measurements spanning 26 days, net +518. 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 41,411–42,363 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
1 Sept 2026, 04:17
42,193
-60
31 Aug 2026, 01:55
42,253
+43
30 Aug 2026, 02:26
42,210
+90
29 Aug 2026, 00:38
42,120
+103
27 Aug 2026, 22:23
42,017
+21
27 Aug 2026, 00:35
41,996
+13
25 Aug 2026, 22:35
41,983
+119
25 Aug 2026, 01:03
41,864
+343
23 Aug 2026, 13:45
41,521
-8
21 Aug 2026, 21:05
41,529
-11
20 Aug 2026, 19:06
41,540
-9
19 Aug 2026, 19:58
41,549
-16
18 Aug 2026, 16:55
41,565
-6
17 Aug 2026, 14:17
41,571
-8
16 Aug 2026, 06:26
41,579
-5
14 Aug 2026, 20:37
41,584
+14
13 Aug 2026, 12:38
41,570
-17
12 Aug 2026, 12:38
41,587
-23
11 Aug 2026, 11:56
41,610
-14
10 Aug 2026, 13:12
41,624
first reading
Engagement
70 posts held, back to 4 August 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 57 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.16%
avg views ÷ 42,193 subscribers
Avg views / post
2,180
69 posts measured
Reaction rate
2.22%
reactions ÷ views · ER floor
Posts in window
70
of 70 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 1 September 2026
Posts held
70 (4 August 2026 – 1 September 2026)
Views total
150,196
Reactions total
3,335
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Sept 2026, 18:49 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
Photos
≈27,900
Videos
≈1,030
Links
≈4,650
Lifetime counters from Telegram’s own channel header, read 1 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
5m 13s
Average length
31s
Measured directly from 10 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
3,335 reactions across 69 posts, in 11 distinct kinds. The most used accounts for 52.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,740
52.2%
🔥
591
17.7%
😁
265
7.95%
👍
255
7.65%
😍
162
4.86%
💯
127
3.81%
✍
55
1.65%
😢
49
1.47%
😱
42
1.26%
💔
35
1.05%
👎
14
0.42%
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 69 of the 70 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 3,335 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 70 most recent posts we hold, published 4 August 2026 to 1 September 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
3
across the posts below
Posts paid on
2
of 69 we hold a reading for · 3%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @dressedto. 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 70 most recent posts we hold for this entry, published 4 August 2026 to 1 September 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.
И ещё одна добрая история
Этим летом 10-летняя девочка Тая отдыхала в деревне у бабушки. Её необычную внешность заметила девушка-фотограф и выложила с ней съемку у себя на странице. 15,5 млн просмотров, тысячи восторженных комментариев о том, что это будущее «лицо Prada» и даже предложения агентств. А ещё, девочку заметил LIMÉ. Они пригласили её с мамой в Москву на съемку, и уже сегодня я встретила её лицо в каталог…
Как всегда, безумно добрая лента соцсетей сегодня!
Такой важный день для многих деток и их родителей. И какие прекрасные образы для торжественных линеек. Очень тёплые эмоции от каждой фотографии. Всех с началом осени и нового учебного года! ❤️
#события 31 августа - 6 сентября
🔤осква:
📍Кинозал ГУМа
👉🏼 31 августа - лекция «Образ карнавального и маскарадного костюма в кино»
📍L’appartment 83
👉🏼 3 сентября - лекция «Римское величие и авангард. Ювелирный дом BVLGARI»
📍Музей русского импрессионизма
👉🏼 3 сентября - лекция «Реформа платья. Как женщины освободились от корсета»
📍Бауманская
👉🏼 4 сентября - лекция «Парфюмерные ‘уроды’: самые странные ароматы в мир…
Кстати, вот и подтверждение. Любимый вельветовый костюм от Daisyknit ношу уже 5 сезонов, а из костюмной ткани - три. И оба актуальны будут еще долго! Поэтому, обязательно присмотритесь к бренду 🤍
Вообще, надо сказать, захотелось вам показать новую коллекцию Daisyknit как раз из-за этого серого жакета из шерсти с деталью на манер кейпа. Показался мне максимально носибельным и лаконичным. Как видите, классно смотрится и в застегнутом, и в расстегнутом виде. Сочетала его с джинсами-баллонами в осеннем терракотовом оттенке. По посадке оказались вау!
А по качеству и актуальности я вообще готова петь оды бренду. В…
Tagwalk снова регистрирует рост интереса к кейпам на пальто. Хотя казалось бы, куда? Тренд с нами уже больше 3 холодных сезонов точно. И как будто, уже можно отнести его к вариативности базы
На холодное лето и начало осени как раз обнаружила элегантные варианты у Daisyknit: в сером и шоколадном. Раздайте лайков, если сделать большую подборку!
Цвет настроения: оранжевый 🧡
Еду с красивущего мероприятия от Золотого Яблока и бренда по уходу за волосами mise en sense. Не была с ним знакома, но узнав о составах и попробовав ароматы, заинтересовалась сильно. Буду честно тестить месяц и вернусь к вам с отзывом, ждите!
Но если хотите попробовать сами, можете брать в ЗЯ, цена вполне демократичная, отзывов много, а еще, там сейчас какая-то акция с промо в 50% на м…
Какая же нежность от belle you 💔
На себе показывать не рискну, уж извините, но вот лукбук прикрепляю, потому что это ну очень красиво! Кружево Шантильи, комфортная посадка и +100 баллов женственности к самоощущению. Мне захотелось деликатно-персикового оттенка, но есть ещё в шоколаде. Если хотели порадовать себя, это знак!
Знаю, что эти кросы из «Убить Билла» были популярны ещё года 2 назад, но мне на столько всё равно, и настолько они мне нравятся, что заказать решила именно сейчас, когда весь хайп прошёл. Осенью планирую в них гулять по жёлтой листве 🤪 Брала на Маркете
Это пост-намёк иногда забивать на «модные рамки» и носить вещь, если вы от неё кайфуете)
Вот вам свежая статистика от Tagwalk по 2 самым популярным цветам предстоящей осени (ищут их сейчас чаще всего): неожиданно, это чернослив и ржавчина. Что характерно для холодного сезона, это насыщенные, глубокие оттенки, достаточно уютные и относительно необычные. Это не значит, что мы будем моднее, купив их, но присмотреться, думаю, точно стоит. По этому случаю, ловите подборку:
🔺Ржавчина: костюм Voishe, блуза IDO…
Долго рассматривала этот дизайн сандалий Loewe, пока наконец не дошло… гениальная работа с лого!
🔥69❤24😍11
Showing the 12 most recent of 70 posts we hold for @dressedto. 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.
Citation-graph rank
Citation-graph rank — 18,154 of 1,629,419 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Mentions
Named by 8 registered channels — 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.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
кабачковая икра по акции @sale_caviar · 192,869#71
Read from Telegram’s recommendation API, most recently 29 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Чувства Wearующих @wearfeelings · 70,043 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 20 August 2026
Дьявол носит H&M @devilwearshandm · 72,969 Telegram ranks this channel #16 of 81 here — alongside 80 others — read 19 August 2026
Outfits @outfits · 213,606 Telegram ranks this channel #16 of 81 here — alongside 80 others — read 11 August 2026
Стильный стилист стилизует @leushinastylist · 46,467 Telegram ranks this channel #18 of 73 here — alongside 72 others — read 27 August 2026
ШМОТ @zashmot · 107,800 Telegram ranks this channel #18 of 85 here — alongside 84 others — read 15 August 2026
Русская мода @russianmoda · 196,929 Telegram ranks this channel #24 of 82 here — alongside 81 others — read 11 August 2026
Ко-Ко-Ко (фэшн / стиль / мода) @kokokokakmodno · 41,252 Telegram ranks this channel #27 of 51 here — alongside 50 others — read 29 August 2026
Купи, молись, люби @buy_pray_love · 46,214 Telegram ranks this channel #30 of 72 here — alongside 71 others — read 27 August 2026
FASHION PAPER @fashionpaper · 48,894 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 26 August 2026
ZARINA @zarina_brand · 78,234 Telegram ranks this channel #30 of 50 here — alongside 49 others — read 25 August 2026
Dresses @dresses · 50,730 Telegram ranks this channel #31 of 64 here — alongside 63 others — read 25 August 2026
Drunk_fashion @drunkfashion · 40,082 Telegram ranks this channel #34 of 89 here — alongside 88 others — read 30 August 2026
Style @style · 164,184 Telegram ranks this channel #34 of 88 here — alongside 87 others — read 12 August 2026
WYSH МОДА @wyshmoda · 36,712 Telegram ranks this channel #35 of 60 here — alongside 59 others — read 1 September 2026
ШопагоLee @ShopahoLee · 44,879 Telegram ranks this channel #35 of 79 here — alongside 78 others — read 27 August 2026
the girl who @girl_who · 79,975 Telegram ranks this channel #37 of 66 here — alongside 65 others — read 18 August 2026
Marianna Eliseeva @mariannaeliseeva · 95,449 Telegram ranks this channel #38 of 73 here — alongside 72 others — read 16 August 2026
Fresh Fashion @fashion · 137,479 Telegram ranks this channel #41 of 89 here — alongside 88 others — read 13 August 2026
МиссТелеграм | @Ms_krasota · 63,762 Telegram ranks this channel #43 of 92 here — alongside 91 others — read 21 August 2026
Вишлист @myhotelki · 48,669 Telegram ranks this channel #44 of 86 here — alongside 85 others — read 26 August 2026
MUR @fashion_mur · 209,488 Telegram ranks this channel #48 of 92 here — alongside 91 others — read 11 August 2026
LIMÉ @limestorecom · 93,257 Telegram ranks this channel #50 of 70 here — alongside 69 others — read 16 August 2026
Модные хроники Злой Киски @zlayakiska · 72,740 Telegram ranks this channel #52 of 88 here — alongside 87 others — read 20 August 2026
Раздетый стилист Лена Червова @elennne_style · 101,693 Telegram ranks this channel #56 of 69 here — alongside 68 others — read 15 August 2026
This channel appears in 28 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 1 September 2026 — this
entry's latest reading, not the date you are reading this.
“Д Р Е С С - К О Д (ex. Dressed to Kill)” (@dressedto), 42,193 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/dressedto.
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.