4 measurements spanning 7 days, net -67. 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 8,600–8,687 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 22:49
8,610
-21
10 Aug 2026, 22:34
8,631
-40
7 Aug 2026, 14:23
8,671
-6
6 Aug 2026, 19:48
8,677
first reading
Engagement
7 posts held, back to 27 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 14 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
28.1%
avg views ÷ 8,610 subscribers
Avg views / post
2,420
7 posts measured
Reaction rate
2.20%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 12 August 2026
Posts held
7 (27 July 2026 – 12 August 2026)
Views total
16,910
Reactions total
372
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 16:08 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
16s
Average length
8s
Measured directly from 2 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
372 reactions across 7 posts, in 8 distinct kinds. The most used accounts for 50.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
187
50.3%
🔥
79
21.2%
🗿
30
8.06%
😍
28
7.53%
😁
25
6.72%
🍾
21
5.65%
🆒
1
0.269%
😱
1
0.269%
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 7 of the 7 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 372reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 27 July 2026 to 12 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.
Бренд, который понял силу мелочей🤏🏻
Смотрите, какие эстетские пакетики чая придумал японский бренд товаров для дома mieya mieya.
Тот случай, когда креативный взгляд на один маленький повседневный продукт делает твой бренд популярным на весь мир (видео вирусится во всех соцсетях)😊
#нучтозакейс
Тренд Вотчина – канал о редких кейсах и трендах
Мир сошел с ума – виной всему протеин
Один из главных трендов в food и beauty – протеин.
Его уже добавляют куда угодно – от снеков до средств для красоты. Разве что в воздух не распыляют.
И вот, например, бренд поп-корна Хлои Кардашьян Khloud буквально сегодня выпустили протеиновые чипсы, которые обещают пользу для волос и кожи.
А рассказать об этом помогла коллаборация с брендом Shark – 50 селебрити получили экск…
Duolingo зашел слишком далеко (и глубоко)😱
Сервис по изучению языков сделал в Китае коллаборацию с сетью магазинов Miniso.
На полках куча мерча и канцелярии для учебы с треклятой зеленой совой. Но больше всего людей зацепили салфетки и туалетная бумага со словарем и популярными английскими словами.
Делаешь важные дела и заодно учишь язык😱.
Интернет разделился на два лагеря: одни в восторге, другие считают безумие…
Вчера ругали Рианну, сегодня хвалим Селену🙄
Бьюти-бренд Селены Гомес Rare Beauty подхватили тренд на «живые» рассылки и маленькие шоу.
Вместо очередной красивой коробки они отправили клиентам и инфлюенсерам… брендированный кабриолет с галантным курьером.
Он вручал винтажный телефон с персональным сообщением от Селены Гомес. А внутри телефона уже ждал продукт, ради которого это все затевалось – новый летний парфюм …
Мне кажется, или Рианна облажалась🤔?
Недавно мы с вами обсуждали, что Dior открыли в Японии камерную чайную для гостей магазина. И восхищались, как деликатно и тонко бренд работает с локальной культурой.
А вот как будто не самый удачный кейс:
бьюти-бренд Рианны Fenty Beauty открыли поп-ап в Китае в городе Ченду. И тоже через тему чаепития.
Только ощущение совсем иное – будто бренд такой: «мы слыхали, у вас тут ден…
PR-рассылки умерли? Да здравствуют мини-шоу🚑
В честь запуска нового скульптора для лица (обещан эффект «как после инъекций и пластических процедур») бьюти-бренд Tarte сделали не просто красивую PR-рассылку.
Они отправили на улицы Glambulence – глэммобиль, где блогерам, селебрити и прохожим прямо на месте оказывали скорую бьюти-помощь – делали контуринг лица новым продуктом.
А перед запуском продукта еще и выпустил…
Что бывает, когда бренд влюблен в свой продукт
Пока одни бренды для открытия магазинов зовут художников, строят футуристичные интерьеры и гонятся за трендами, корейский Laneige пошли немного другим путем.
Они просто посмотрели на свои бестселлеры… и превратили их в интерьер. Цвета, формы и детали магазина буквально повторяют культовые баночки бренда.
Скачала для вас фото продуктов и интерьеров рядом для наглядност…
❤30🔥10🍾5😍4🆒1
Showing the 7 most recent of 7 posts we hold for @trendwatchina. 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 — 729,488 of 1,345,403entries 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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Тренд Вотчина” (@trendwatchina), 8,610 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/trendwatchina.
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.