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Telegram profile photo for Högl Russia

Channel

Högl Russia

@hoglrussia

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,979subscribers

-48 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001774910583
TypeChannel
Username@hoglrussia
DescriptionАвстрийский бренд обуви и аксессуаров премиум-класса. Остались вопросы? Мы всегда на связи в комментариях и в @hogl_russia Канал включён в перечень Роскомнадзора: https://clck.ru/3GMbV8
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live16 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/hoglrussia

Growth

9,97910,02710,0037 August 2026 — 10,027 subscribers7 August 2026 — 10,027 subscribers8 August 2026 — 10,023 subscribers9 August 2026 — 10,015 subscribers11 August 2026 — 10,005 subscribers12 August 2026 — 9,995 subscribers16 August 2026 — 9,979 subscribers7 August 202616 August 2026
7 measurements spanning 9 days, net -48. 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 9,972–10,034 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 06:449,979-16
12 Aug 2026, 17:539,995-10
11 Aug 2026, 17:2210,005-10
9 Aug 2026, 23:3510,015-8
8 Aug 2026, 22:0710,023-4
7 Aug 2026, 14:4510,027no change
7 Aug 2026, 14:3310,027first reading

Engagement

24 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 19 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
14.2%
avg views ÷ 9,979 subscribers
Avg views / post
1,420
24 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
24
of 24 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
WindowRolling 30 days · latest post in window 18 August 2026
Posts held24 (1 August 202618 August 2026)
Views total34,053
Reactions total551
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Aug 2026, 14:57 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
1,790
Videos
263
Links
919

Lifetime counters from Telegram’s own channel header, read 18 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.

Video runtime
45s
Average length
11s

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.

Reaction mix

551 reactions across 24 posts, in 9 distinct kinds. The most used accounts for 52.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
29052.6%
🔥13224.0%
👏417.44%
👍285.08%
🤩285.08%
❤‍🔥183.27%
🥰71.27%
🎉61.09%
💘10.181%

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 24 of the 24 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 551reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 1 August 2026 to 18 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

18 Aug 2026, 13:20 UTC305 views7 reactionsread 18 August 2026
Photo

Осенний гардероб начинается с обуви 🍂 На нашем канале в Дзен — новая статья о главных тенденциях сезона. 4 главных тренда в обуви осени 2026: что стоит добавить в гардероб Разбираем, почему кеды окончательно вошли в городской гардероб, как лоферы и балетки обрели новый характер, и какие оттенки — вишневый и шоколадный — будут определять осеннюю палитру. Читайте полную статью по ссылке → здесь

6🔥1

17 Aug 2026, 08:31 UTC868 views27 reactionsread 18 August 2026
Photo

🍁 👞 В осенней коллекции — палитра мягких, приглушённых оттенков, созданная для спокойных и элегантных образов. Например, балетки LOREEN на небольшом блочном каблуке в оттенках пыльной розы и пряного шоколада. Завершает образ матовая золотистая цепочка — деликатный акцент, который добавляет модели особого шика. • балетки LOREEN

16🔥9👍2

15 Aug 2026, 08:26 UTC≈1,150 views24 reactionsread 18 August 2026
Video message

Video message, posted without a caption

❤‍🔥18👏3🤩3

15 Aug 2026, 07:50 UTC≈1,170 views28 reactionsread 18 August 2026

🎀 ⚽️ В новой коллекции классический силуэт балеток JENNA получает спортивное настроение: декоративная шнуровка, аппликация из кожи с тиснением под змею и глянцевый фактурный текстиль, характерный для дизайна кроссовок. А за комфорт отвечает стелька Memory Foam с эффектом памяти — она подстраивается под стопу и мягко поддерживает её во время ходьбы. Советуем взять их в гардероб на каждый день: сочетать с брюками, дж

🔥147👏7

14 Aug 2026, 09:53 UTC≈1,210 views31 reactionsread 18 August 2026
Photo

👩‍💻Красивое завершение рабочего дня? Определённо — прогулка, любимые лоферы и ещё пара лишних километров. Пока погода позволяет, гуляем долго ✨ Для такого вечера выбираем лоферы ELODIE на небольшом блочном каблуке. Внутри — система Softline: инновационная конструкция с мягкой амортизацией, которая поддерживает стопу и делает каждый шаг комфортнее. 👞А мягкая велюровая кожа деликатно облегает стопу, словно подстраив

15🔥11👏5

13 Aug 2026, 06:55 UTC≈1,310 views29 reactionsread 18 August 2026
Photo

☀️🍂Последний месяц лета и первые тёплые дни осени — идеальное время для кед из велюровой кожи. Обратите внимание на коллекцию кед SAM в оттенке пыльной розы: деликатный цвет, благородная фактура и эстетика винтажной классики, которая никогда не выходит из моды. Такая пара легко становится частью самых разных образов, а стелька с технологией «Memory Foam». Она адаптируется к форме стопы, мягко распределяет нагрузку

18🎉6👏5

12 Aug 2026, 11:03 UTC≈1,320 views27 reactionsread 18 August 2026
Video message

Video message, posted without a caption

11👏9🤩5🔥2

11 Aug 2026, 08:14 UTC≈1,620 views39 reactionsread 18 August 2026
Photo

👠Сколько часов можно комфортно провести на каблуках? По данным ортопедов, комфорт зависит не только от высоты каблука, но и от его формы, устойчивости, правильной колодки и амортизации. Именно поэтому модели Högl позволяют чувствовать себя уверенно в течение всего дня. 🗂 Мы сделали небольшой гид по высоте каблука и ориентировочному времени комфортной носки, чтобы вам было проще ориентироваться в ассортименте Högl

20👍10🤩7👏2

10 Aug 2026, 07:01 UTC≈1,500 views26 reactionsread 18 August 2026
Video

➕Плюс один повод заглянуть к нам на распродажу выделенного ассортимента с дополнительной скидкой 10% — покупка красивой сумки. Объемные модели для насыщенных будней, лаконичные сумки на каждый день, элегантные варианты для театра и особых случаев или удобные рюкзаки — применяйте скидку 10% по промокоду TYRA и забирайте эффектный аксессуар в свой гардероб. ⭕ сумка DOREEN ⭕ сумка NATALIE ⭕ рюкзак SALLY

16👍5🔥5

8 Aug 2026, 07:35 UTC≈1,900 views38 reactionsread 18 August 2026
Video

📸Это видео — для тех, кто уже готовится к новому сезону. ✨В осенней коллекции Högl мы делаем ставку на благородную палитру оттенков: пудровый розовый, оливковый, каштановый, сливовый, ореховый и шоколад. ✨Цвета, которые легко сочетаются друг с другом и становятся основой элегантного гардероба. На модели — кеды из винтажной замши, шелковый платок с авторским принтом, вдохновленным Веной, и сумка из бархатистой велю

31🤩4🥰2👏1

6 Aug 2026, 14:33 UTC≈1,840 views33 reactionsread 18 August 2026
Video message

Video message, posted without a caption

16🔥8👍7🤩2

6 Aug 2026, 14:33 UTC≈1,750 views14 reactionsread 18 August 2026

♥️Делимся видео с моделями из коллекции, которая сейчас доступна по специальной цене. 📍Откройте всю подборку по ссылке или загляните в Фирменные магазины Högl, чтобы выбрать свою идеальную пару по особенно приятной цене.

9👍3🥰2

Showing the 12 most recent of 24 posts we hold for @hoglrussia. 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 — 550,391 of 1,549,704entries 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.

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Högl Russia” (@hoglrussia), 9,979 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/hoglrussia.

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.