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 18 September 2026 and assigned it the closest of 31 fixed categories, at 78% 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
6 measurements spanning 15 days, net +21. 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 1,095–1,163 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 19:59
1,124
-10
14 Sept 2026, 03:38
1,134
-11
10 Sept 2026, 12:55
1,145
-10
4 Sept 2026, 23:41
1,155
+52
3 Sept 2026, 10:15
1,103
no change
3 Sept 2026, 10:00
1,103
first reading
Engagement
14 posts held, back to 16 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.1%
avg views ÷ 1,124 subscribers
Avg views / post
114
1 post measured
Reaction rate
7.02%
reactions ÷ views · ER floor
Posts in window
1
of 14 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 28 August 2026
Posts held
14 (16 November 2025 – 28 August 2026)
Views total
114
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:15 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
11s
Average length
11s
Measured directly from 1 video 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
530 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 54.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
290
54.7%
👍
98
18.5%
🤩
47
8.87%
👏
28
5.28%
🎉
27
5.09%
🍓
24
4.53%
🥰
16
3.02%
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 14 of the 14 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 530 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 16 November 2025 to 28 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.
Malinia London - это не просто уход за кожей. Это стиль жизни, в котором каждая деталь имеет значение.
Специально разработанная формула крема MALINIA London позволяет использовать его для ежедневного ухода за кожей тела и рук.
✨ Позвольте себе почувствовать себя героиней красной дорожки каждый день с #malinialondon.
Проверьте насколько правильно вы сушите волосы.
Главные правила сушки феном для блеска волос:
🌷 Используйте узкую насадку, чтобы поток
воздуха был плотным и четко направленным;
🌷 При сушке волос важно держать насадку под углом и по направлению вниз. От корней к концам. Именно это движение позволяет пригладить чешуйки и сделать волосы блестящими;
🌷Всегда завершайте укладку холодным воздухом.
#malinialondon.
Настроение Весна ✨
👉В заботе о теле самое приятное — это уход, особенно если это Malinia London. ❤️
Обожаем эти средства за приятные текстуры, стильный дизайн и, конечно же, эффект!
#malinialondon
👉Волосы пачкаются быстрее, если часто их мыть.
На скорость загрязнения волос может влиять множество факторов, среди которых генетика, климат и образ жизни, а не частота мытья.
🌷Например, если человек каждый день активно занимается спортом или у него от природы жирная кожа головы, волосы будут пачкаться быстрее. Редкое мытье этого никак не изменит.
Специалисты рекомендуют мыть голову по мере загрязнения: для кого-то…
Каждая девушка — как прекрасный цветок, достойный самого нежного ухода! 🌷
💎 Роскошный уход для вашей кожи от #malinialondon
Продукты бренда MALINIA London имеют более 95% натуральных ингредиентов в своём составе, не содержат парабенов, сульфатов, глютена, не тестируются на животных, подходят для вегетарианцев и веганов.
MALINIA London сегодня — это средства, разработанных для ежедневного применения с заботой о кра…
Зимой волосы подвергаются особенным испытаниям: холод, сухой воздух помещений, шапки негативно влияют на состояние волос.
Чтобы сохранить здоровье и красоту волос в зимний период, важно соблюдать ряд полезных привычек ухода:
1.Мойте волосы теплой водой, избегайте горячей воды, так как она сушит кожу головы и ломает структуру волос.
2. Используйте шампунь и кондиционер, подходящие вашему типу волос. Не наносите шамп…
Расчёсывайте волосы правильно:
Начинайте расчёсывать волосы с кончиков, постепенно поднимаясь вверх. Это уменьшает ломкость и помогает предотвратить появление секущихся концов.
MALINIA London — время быть яркой!
Впереди – долгожданная новогодняя ночь, к которой так много внимания, хлопот и планов. Взять для себя несколько минут – истинный подарок для внешнего вида и внутреннего равновесия. Принять теплую ванну, уделить внимание телу и окунуться в шёлк маски для волос MALINIA London. Потому что невозможно представить надеть праздничный наряд на неухоженную кожу. Увлажненная , нежная и бархатистая кожа с блестящими локонами– ч…
Готовитесь к празднику? Тогда не забудьте о стильной прическе! В 2026 году в тренде остаются элегантные и креативные образы:
🎀 Гладкие высокие пучки и хвосты — классика с современным акцентом
🎀 Объемные локоны и мягкие волны — для романтичного настроения
🎀 Элементы 3D-укладок и объемных плетений — добавьте изюминку.
🎀 Аксессуары: жемчуг, блестки и яркие заколки — завершите образ ярко и стильно
Не бойтесь эксперимен…
🎁 Напоминание: уже пора! Выбирать подарки к Новому году. А пока давайте узнаем, что вас ждет в 2026?
Первое слово, которое вы увидите, то что вас ждет в новом году 🎅.
#malinialondon
❤25👍15🤩9
Showing the 12 most recent of 14 posts we hold for @malinialondon. 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 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“MALINIA LONDON” (@malinialondon), 1,124 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/malinialondon.
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.