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Channel

Бери от жизни стиль

@margonastile

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

23,220subscribers

-773 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002134731102
TypeChannel
Username@margonastile
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 October 2026
Measurements held49
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/margonastile

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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

23,22023,99323,606.57 August 2026 — 23,993 subscribers7 August 2026 — 23,993 subscribers8 August 2026 — 23,988 subscribers9 August 2026 — 23,982 subscribers10 August 2026 — 23,973 subscribers11 August 2026 — 23,967 subscribers12 August 2026 — 23,959 subscribers13 August 2026 — 23,946 subscribers15 August 2026 — 23,941 subscribers16 August 2026 — 23,931 subscribers17 August 2026 — 23,910 subscribers18 August 2026 — 23,899 subscribers20 August 2026 — 23,887 subscribers22 August 2026 — 23,876 subscribers23 August 2026 — 23,839 subscribers25 August 2026 — 23,797 subscribers26 August 2026 — 23,770 subscribers27 August 2026 — 23,759 subscribers28 August 2026 — 23,753 subscribers28 August 2026 — 23,742 subscribers29 August 2026 — 23,735 subscribers30 August 2026 — 23,731 subscribers31 August 2026 — 23,726 subscribers1 September 2026 — 23,718 subscribers2 September 2026 — 23,701 subscribers4 September 2026 — 23,691 subscribers6 September 2026 — 23,671 subscribers9 September 2026 — 23,638 subscribers12 September 2026 — 23,623 subscribers13 September 2026 — 23,611 subscribers15 September 2026 — 23,598 subscribers17 September 2026 — 23,582 subscribers19 September 2026 — 23,556 subscribers26 September 2026 — 23,503 subscribers4 October 2026 — 23,432 subscribers9 October 2026 — 23,389 subscribers13 October 2026 — 23,352 subscribers14 October 2026 — 23,335 subscribers15 October 2026 — 23,324 subscribers16 October 2026 — 23,312 subscribers17 October 2026 — 23,298 subscribers18 October 2026 — 23,288 subscribers19 October 2026 — 23,278 subscribers20 October 2026 — 23,268 subscribers21 October 2026 — 23,254 subscribers22 October 2026 — 23,249 subscribers23 October 2026 — 23,243 subscribers24 October 2026 — 23,232 subscribers25 October 2026 — 23,220 subscribers7 August 202625 October 2026
49 measurements spanning 79 days, net -773. 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 23,104–24,109 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 49
Measured (UTC)SubscribersChange
25 Oct 2026, 23:3023,220-12
24 Oct 2026, 20:0823,232-11
23 Oct 2026, 20:5123,243-6
22 Oct 2026, 21:5623,249-5
21 Oct 2026, 17:4723,254-14
20 Oct 2026, 14:4423,268-10
19 Oct 2026, 16:4623,278-10
18 Oct 2026, 20:1023,288-10
17 Oct 2026, 22:2823,298-14
16 Oct 2026, 21:4523,312-12
15 Oct 2026, 19:0523,324-11
14 Oct 2026, 17:4623,335-17
13 Oct 2026, 09:0423,352-37
9 Oct 2026, 06:5723,389-43
4 Oct 2026, 17:3623,432-71
26 Sept 2026, 22:2023,503-53
19 Sept 2026, 16:5723,556-26
17 Sept 2026, 08:1823,582-16
15 Sept 2026, 10:4023,598-13
13 Sept 2026, 19:1823,611first reading

Engagement

46 posts held, back to 2 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 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.61%
avg views ÷ 23,220 subscribers
Avg views / post
1,300
16 posts measured
Reaction rate
1.85%
reactions ÷ views · ER floor
Posts in window
16
of 46 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 23 October 2026
Posts held46 (2 August 2026 – 23 October 2026)
Views total20,851
Reactions total385
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 00:35 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

Video runtime
4m 24s
Average length
20s

Measured directly from 13 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

1,182 reactions across 46 posts, in 9 distinct kinds. The most used accounts for 49.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤58949.8%
😁24420.6%
😍1038.71%
🥰907.61%
🔥887.45%
👍494.15%
🤩110.931%
💯70.592%
😱10.085%

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 46 of the 46 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 1,182 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 46 most recent posts we hold, published 2 August 2026 to 23 October 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

23 Oct 2026, 16:07 UTC505 views12 reactionsread 24 October 2026
Photo

Коричневая подборка с Lamoda 🪹🐦‍⬛🪾 ⬜️ Ботинки Футболка Джинсы Сумка Капор Пальто Серьги Жакет #полезныессылки

❤9😍3

21 Oct 2026, 14:16 UTC≈1,020 views18 reactionsread 24 October 2026
Photo

В сегодняшнем комплекте соединяется природная глубина коричневых оттенков с сочным зелёным — оттенком мха, согретого солнечными лучами. Пушистый свитер становится главным акцентом образа, а пальто в мелкую клетку и свободные джинсы поддерживают его сложной палитрой землистых тонов. Люблю такие сочетания за их особенную живописность и сочетаемость с природой. Будьте осторожны: зеленый у лица подойдет не каждому цвето…

❤14🥰4

18 Oct 2026, 09:06 UTC≈1,540 views18 reactionsread 24 October 2026
Photo

Утро выходного дня 🤌

❤17🥰1

17 Oct 2026, 09:55 UTC≈1,570 views47 reactionsread 24 October 2026
Video

Вашему внимаю любимая рубрика #тиктокминутка

😁18😍17❤8🔥4

16 Oct 2026, 09:36 UTC≈1,250 views25 reactionsread 21 October 2026
Photo

Серо-синяя капсула на осень 🫐 ⬜️ Свитер синий Свитер серый Лоферы Рубашка Сумка Джинсы Рубашка Куртка #полезныессылки

❤17🤩4🥰4

13 Oct 2026, 07:10 UTC740 views23 reactionsread 14 October 2026
Photo

Больше, чем разглядывать одежду, я люблю только разглядывать дома. В интернете мне попалась прогулка по нью-йоркской квартире Джулианы Мур, и хотя внутри было на что полюбоваться, моё сердце досталось окнам и террасам, вернее, городу, который с них открывается. Ещё меня очаровали две детали. Статуэтка Оскара скромно стоит на полке среди книг. Не в отдельном сияющем царстве заслуг, а в хорошей литературной компании, …

❤21😍2

12 Oct 2026, 15:23 UTC946 views16 reactionsread 14 October 2026
Photo

Секреты теплого образа Как одеваться в несколько слоёв, согреваться в холода и сохранять лёгкость образа? И что действительно помогает сохранять тепло? 1. Начинайте с тонкого слоя у тела Чем ближе к телу слой, который помогает сохранять тепло, тем комфортнее вам будет в холодную погоду. Если надеть шерстяной свитер на голое тело, прохладный воздух может проникать через свободные участки у горловины, рукавов и нижне…

❤14🥰1😍1

9 Oct 2026, 12:03 UTC≈1,500 views24 reactionsread 14 October 2026
Photo

Любимые примерочные хроники. Забежала в Gloria Jeans и немного задержалась в примерочной. Нашлось столько красивого на осень: от уютного трикотажа до денима и верхней одежды 🫦 Домой ушла с новенькой дублёнкой и баррелами в необычном серо-бежевом оттенке. Очень небанально смотрятся. На сайте у бренда, кстати, есть ещё больше находок, в том числе модели, доступные только онлайн.

❤17😍5🥰2

8 Oct 2026, 08:09 UTC≈1,390 views18 reactionsread 13 October 2026
Photo

В соцсетях обсуждают новую AI-генерацию от House of Z, посвящённую Брэду Питту. В серии сюрреалистичных изображений актёр оказывается в миниатюрных интерьерах среди лестниц, скульптурной одежды и пространств, которые словно не соответствуют его масштабу. Это независимый fashion-арт проект, созданный с помощью AI-инструментов. Он не связан с Брэдом Питтом и не является официальной коллаборацией с актёром, но картинк…

❤13🔥4🥰1

7 Oct 2026, 18:18 UTC≈1,310 views19 reactionsread 12 October 2026
Photo

Сегодня собрала простой осенний сет на каждый день — женственный, удобный и одновременно спортивный 👟 ⬜️ Куртка Юбка Кеды Сумка Лонгслив #готовыйобраз

❤12😍5🔥2

6 Oct 2026, 08:04 UTC≈1,490 views22 reactionsread 12 October 2026
Photo

А вот и подборка женственных вариантов юбок на осень 🤍 ⬜️ Экокожа белая Коричневая Черная Бежевая мини Коричневая Принт цветы Экокожа черная Серая #полезныессылки

❤18😍3🥰1

4 Oct 2026, 11:14 UTC≈1,470 views10 reactionsread 9 October 2026
Video

5 материалов об одежде и моде, которые попались мне на прошлых неделях: • Подкаст Пино Арно и Домино. Обложки сентябрьского глянца В гостях у любимого подкаста кредитивный директор The Blueprint Игорь Андреев, оценивает свежие осенние обложки Vogue, Harper’s Bazaar, Elle и иже с ними. • Видео Без фильтров. Правила женского делового гардероба В новом ролике БЕЗФИЛЬТРОВ разбираются, почему женский деловой гардероб …

❤5😍3🥰2

Showing the 12 most recent of 46 posts we hold for @margonastile. 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 3 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.

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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“Бери от жизни стиль” (@margonastile), 23,220 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/margonastile.

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.