Channel
@moda_look
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
43,766subscribers
-95 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001402685220 |
|---|---|
| Type | Channel |
| Username | @moda_look |
| Description | По рекламе: https://t.me/Toetoeto Написать мне: @StylistOnlinet Ркн: https://gosuslugi.ru/snet/67af762152824a420a1bb4ff Мода проходит, стиль остаётся. © |
| Created | Between 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/moda_look |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 02:58 | 43,766 | -13 |
| 14 Aug 2026, 16:25 | 43,779 | -17 |
| 13 Aug 2026, 08:04 | 43,796 | -12 |
| 12 Aug 2026, 08:12 | 43,808 | -12 |
| 11 Aug 2026, 09:52 | 43,820 | -10 |
| 10 Aug 2026, 07:46 | 43,830 | -10 |
| 9 Aug 2026, 10:01 | 43,840 | -9 |
| 8 Aug 2026, 06:50 | 43,849 | -8 |
| 7 Aug 2026, 07:32 | 43,857 | -4 |
| 6 Aug 2026, 20:30 | 43,861 | no change |
| 6 Aug 2026, 20:22 | 43,861 | first reading |
14 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 23 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 15 August 2026 |
|---|---|
| Posts held | 14 (4 August 2026 – 15 August 2026) |
| Views total | 37,170 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 03:03 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.
Lifetime counters from Telegram’s own channel header, read 16 August 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.
Резиновые сапоги – незаменимая обувь для осенних образов. В дождливую погоду они легко вписываются даже в самые привычные сочетания: с джинсами, платьями, юбками и объемными куртками. Практично, удобно и совсем не скучно. Собрала подборку образов для вдохновения:
Идеальным приобретением к приближающейся осени станет комплект с бомбером и юбкой миди от SELFMADE. И можно не думать над образом, достаточно добавить базовую футболку, рубашку или топ и лаконичную обувь.
Многослойный образ для осеннего сезона с легким тренчем и полосатыми брюками в пижамном стиле. Безумно нравится сочетание сливочного оттенка с серым и белым. Тренч Лонгслив (серый) Лонгслив (белый) Брюки Вьетнамки Сумка
Длинный клатч – аксессуар, который эффектно дополняет образы. Хорошо смотрится в руках с расслабленным костюмом, джинсами или платьем: вытянутая форма добавляет графичности и выглядит чуть необычнее привычных компактных моделей.
Юбка с цветочным принтом из коллаборации STUDIO 29 x Lamoda. Сочетание оттенков идеально подойдет для предстоящего осеннего сезона. Можно создавать фактурные образы с трикотажем, замшевыми аксессуарами и высокими сапогами.
Рубрика «Хочу как у блогера» На Марии Червоткиной блейзер доломан с меховой отделкой бренда LIMÉ. Инфлюенсер сочетает с кожаными шортами, лаконичными мюлями и небольшой сумкой.
Джортсы классно будут смотреться предстоящей осенью в сочетании с объемным трикотажем, жакетами, кожаными куртками и высокими сапогами. Так любимые летние шорты легко впишутся в более теплые и многослойные образы для прохладного сезона.
Невероятно красивый атласный бомбер цвета Тиффани в новой коллекции SELFMADE. Идеальный вариант, чтобы добавить цвета даже в самый базовый образ. Особенно красиво будет смотреться с денимом, белым или шоколадным оттенком.
Кажется, эпоха однотонных лонгсливов постепенно уступает место двухцветным моделям. Контрастные рукава добавляют динамики и отлично выступают в качестве акцента в образе. Можно сочетать практически с любым низом: от джинсов и расслабленных бермудов до юбок и капри.
Добавить акцента образам можно с помощью аксессуаров, например, цепочки. Классная, в винтажном стиле и с камнями была обнаружена в LIMÉ. Добавляем к фактурным брюкам, джинсами, юбкам разной длины.
Потихоньку готовимся к осеннему сезону. За вдохновение взяла образ Александры Буримовой с вещами ее собственного бренда NEXTDORE. Плащ Лонгслив Брюки Кеды Очки
Помните, я уже рассказывала про свою подушку Omnia? За это время успела окончательно ее затестить, и недавно поймала себя на мысли, что многие вообще не знают, почему она выглядит именно так и что дает. Все дело в так называемых «морщинах сна». Если постоянно спать на боку или животе на обычной подушке, то лицо каждую ночь буквально сминается. Из-за этого появляются вертикальные заломы, которые со временем могут ста…
Showing the 12 most recent of 14 posts we hold for @moda_look. 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 — 271,713 of 1,481,217entries 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.
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.
Named by 2 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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“Black Dress | Fashion blog” (@moda_look), 43,766 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/moda_look.
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.