Posted without readable text
❤🔥5🔥5😍2❤1

Channel
@wolford_rus
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
14,096subscribers
+862 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001771434966 |
|---|---|
| Type | Channel |
| Username | @wolford_rus |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/wolford_rus |
Ecommerce storefront — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 04:56 | 14,096 | +21 |
| 16 Sept 2026, 01:19 | 14,075 | +77 |
| 14 Sept 2026, 06:18 | 13,998 | -152 |
| 12 Sept 2026, 13:20 | 14,150 | -24 |
| 10 Sept 2026, 11:02 | 14,174 | -191 |
| 7 Sept 2026, 05:21 | 14,365 | -356 |
| 4 Sept 2026, 10:39 | 14,721 | -105 |
| 3 Sept 2026, 00:45 | 14,826 | -188 |
| 1 Sept 2026, 22:26 | 15,014 | -90 |
| 1 Sept 2026, 01:48 | 15,104 | -247 |
| 30 Aug 2026, 23:44 | 15,351 | -480 |
| 29 Aug 2026, 20:53 | 15,831 | -207 |
| 28 Aug 2026, 22:14 | 16,038 | -618 |
| 27 Aug 2026, 18:56 | 16,656 | -886 |
| 26 Aug 2026, 20:36 | 17,542 | -567 |
| 25 Aug 2026, 23:42 | 18,109 | +690 |
| 25 Aug 2026, 03:14 | 17,419 | +2,159 |
| 23 Aug 2026, 17:52 | 15,260 | +717 |
| 22 Aug 2026, 02:26 | 14,543 | +1,049 |
| 20 Aug 2026, 20:15 | 13,494 | first reading |
34 posts held, back to 24 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 50 pages of 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 3 September 2026 |
|---|---|
| Posts held | 34 (24 July 2026 – 3 September 2026) |
| Views total | 3,495 |
| Reactions total | 200 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 11:13 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.
Measured directly from 4 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.
4,823 reactions across 31 posts, in 17 distinct kinds. The most used accounts for 49.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2,380 | 49.3% | |
| 🔥 | 905 | 18.8% | |
| 😍 | 503 | 10.4% | |
| 👍 | 228 | 4.73% | |
| 💯 | 184 | 3.82% | |
| ❤🔥 | 179 | 3.71% | |
| ⚡ | 159 | 3.30% | |
| 🎉 | 101 | 2.09% | |
| 👏 | 50 | 1.04% | |
| 🤩 | 49 | 1.02% | |
| 🦄 | 20 | 0.415% | |
| 💘 | 19 | 0.394% | |
| 🕊 | 18 | 0.373% | |
| 🥰 | 14 | 0.29% | |
| 🐳 | 9 | 0.187% | |
| 🏆 | 3 | 0.062% | |
| 🍾 | 2 | 0.041% |
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 32 of the 34 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 4,855 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 34 most recent posts we hold, published 24 July 2026 to 3 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.
Posted without readable text
❤🔥5🔥5😍2❤1
Posted without readable text
❤13😍6🔥5
Сентябрь с календарями Wolford🤩 Осень постепенно вступает в свои права, а вместе с ней приходит время новых планов, встреч и красивых образов. Сохраняйте календари и встречайте новый сезон с Wolford! 🤍Wolford в МАХ | 🤍Wolford в VK
❤10🔥7😍6
Завораживающая Галь Гадот для The Rake🤩 Нуарная съёмка + элегантный образ + бесшовные матовые колготки Фаталь Симлес 15 с широким эластичным поясом = сочетание, которое идеально передает атмосферу фотосессии! 🖤Wolford в МАХ | 🖤Wolford в VK
🔥12❤8😍7🎉2
Всё, что мы любим в Wolford🤍 Новинки сезона, знаковые модели бренда и проверенная временем база уже ждут вас в бутиках Wolford! От выразительных моделей до универсальных на каждый день — выбирайте те, что подчеркнут ваш стиль и станут особенной деталью гардероба🧩 Фото: Москва, бутик Wolford ТЦ «АВИАПАРК» 🤍Wolford в МАХ | 🤍Wolford в VK
❤25👍8😍8👏3
Posted without readable text
🔥15❤10🥰5😍5⚡3
Супермодель Карен Мюлдер в Vogue Germany📚 Сохраняем идеи для офисных образов, в основе которых бесшовная футболка Аврора с короткими рукавами и воротником-стойкой🤩 Изделие можно носить самостоятельно или использовать в многослойных сочетаниях, адаптируя образ под разные случаи! 🤍Wolford в МАХ | 🤍Wolford в VK
❤19😍7🔥3
Важная составляющая делового гардероба🤩 Строгий дресс-код требует внимания к каждой детали. Правильно подобранные чулочно-носочные изделия помогают завершить образ, подчеркнуть силуэт и сохранить комфорт в течение дня! В нашей подборке модели, которые точно пригодятся для офиса и деловых встреч: Колготки • Тамми Контрол Топ 20 поддержка по всей длине ноги и корректирующая верхняя часть для зоны живота и талии. • М…
❤20🔥11😍8👏1
Начинаем новую рабочую неделю вместе с роскошной Маришкой Харгитей на обложке Variety❤️ Звезда сериала «Закон и порядок» дополнила образ классическими колготками Индивидуал 20 с красивым «пудровым» эффектом! 🤍Wolford в МАХ | 🤍Wolford в VK
❤🔥34🔥28😍25🤩14❤9
Когда всё идёт не по плану: фильм «Великая ирония»📽 Что, если одна случайная встреча способна перевернуть привычную жизнь? Опытный режиссёр театра и молодая женщина оказываются втянуты в неожиданную историю, где отношения, тайны и случайности постепенно меняют привычный ход событий. Лёгкая ироничная комедия Вуди Аллена о любви, совпадениях и непредсказуемости судьбы вдохновила нашу подборку: 🖱Стринг-боди Колорадо …
❤54👍37💯26🔥13🕊2
Одно изделие и столько возможностей для образа🤩 Культовый топ Фаталь легко вписывается в самые разные сочетания, позволяя экспериментировать с пропорциями, слоями и стилизацией. Бархатистая фактура, лаконичный дизайн и бесшовный облегающий крой делают его универсальной основой, которая открывает множество возможностей для создания образов!🤩 🤍Wolford в МАХ | 🤍Wolford в VK
❤59🔥28⚡20😍12👍6💘6🤩5🍾2
Американская актриса и комедиантка Лесли Манн для Numero Netherlands! Нежный образ Лесли приобрел выразительный акцент благодаря плотным бархатистым колготкам Пьюр 50 глубокого синего оттенка💙 🖤Wolford в МАХ | 🖤Wolford в VK
❤49🔥22❤🔥19😍17👍5🤩3
Showing the 12 most recent of 34 posts we hold for @wolford_rus. 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.
@wolford_rus edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Named by 4 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.
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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Wolford” (@wolford_rus), 14,096 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/wolford_rus.
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.