8 measurements spanning 7 days, net -123. 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 17,644–18,596 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 21:48
18,041
-130
13 Aug 2026, 12:09
18,171
-92
12 Aug 2026, 10:58
18,263
-223
11 Aug 2026, 12:56
18,486
+732
10 Aug 2026, 09:48
17,754
-320
9 Aug 2026, 09:12
18,074
-41
8 Aug 2026, 11:51
18,115
-49
7 Aug 2026, 15:15
18,164
first reading
Engagement
11 posts held, back to 23 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 21 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
29.2%
avg views ÷ 18,041 subscribers
Avg views / post
5,270
11 posts measured
Reaction rate
5.01%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 13 August 2026
Posts held
11 (23 July 2026 – 13 August 2026)
Views total
57,980
Reactions total
2,907
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
16 Aug 2026, 08:57 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
≈1,350
Videos
≈147
Links
≈143
Lifetime counters from Telegram’s own channel header, read 16 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
2m 47s
Average length
2m 47s
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
2,907 reactions across 11 posts, in 6 distinct kinds. The most used accounts for 24.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
709
24.4%
💘
704
24.2%
❤🔥
644
22.2%
🔥
604
20.8%
🦄
200
6.88%
😍
46
1.58%
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 11 of the 11 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 2,907reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 23 July 2026 to 13 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.
Спешу к вам с рекомендацией
Faberlic прыгнули выше головы и создали идеальный парфюм для белья💔🤌🏼
с этими гранулами у меня в шкафу пахнет как в цветочном саду и этот аромат стоит неделями.
Супер экономичное средство , одной баночки хватает минимум на полтора месяца , и это я вообще не экономлю 😱
Кстати лайфхак, если насыпать горстку гранул в небольшой мешочек и положить к вещам - аромат будет еще насыщеннее и доль
{Attention}
У Elian вышла потрясающая летняя коллекция Summer Garden
Я не смогла пройти мимо и ухватила себе пептидный бальзам в 12 оттенке noon.
Это идеальный холодный нюд на каждый день , а такое мы любим 🤌
Он хорошо лежит на губах, не убегает и при этом классно увлажняет 💄
Звание за лучшую креативную рассылку этого лета уходит SPLAT✨
— в коробочке спрятаны пасты из новой линейки Special, а так же халат, очки и чашка Петри, с которыми можно почувствовать себя настоящим профессором в лаборатории 🧪🤌🏼
моим фаворитом стала паста для интенсивного кислородного отбеливания, а еще она розовая 🥹
Совсем забыла показать вам мою новую красоту 💫
Увидела эти кеды от Nexude и влюбилась. Давно мечтала о таких, а эти двойные шнурки вообще покорили сердечко 🤌
Они уже пережили со мной перелет и хочу сказать, что это было максимально комфортно.
Ну и я была бы не я, если бы не прихватила еще одни на осенний период 🤭
Я миллион раз говорила, что фанат корейской косметики и ухода и тут Faberlic, буквально с ноги врываются с новой линейкой, которая была создана с корейским производством - iSeul
У меня тут:
💚крем - лед
💚Гель-лед для умывания
💚Коллагеновая маска-плёнка
💚плюшевые румяна
у меня сразу случилась любовь с кремом, так как летом у меня часто «горят» щеки, а этот крем оказался спасением. Кожа за считаные минуты чуть охлажд…
Девочки, бегу к вам с находкой🤩
Akavia Peptide - сыворотка для естественного увеличения объема губ стала для меня каким то магическим открытием
Уже после первых применений заметила, что губы стали более объемными и ухоженными. Текстура приятная, лёгкая, быстро впитывается. Процесс нанесения - настоящее удовольствие.
основные активные компоненты:
✨Пептиды - стимулируют производство коллагена, делают кожу упругой и …
Давненько не было видео постов, поэтому исправляемся ❤️
перед отпуском заказала коробочку сюрприз от BoboScoop и это было лучшим решением
Василиса как и я обожает киндер сюрприз, а тут получается не одна игрушка, а больше 15 разных предметов и ты на знаешь какое наполнение попадется, ну класс же
Признавайтесь, кто захотел такую же🤭
Недавно исполнилась наша с Василисой маленькая мечта ✨
Мы провели весь день в парке аттракционов Сказка
Мы буквально приехали утром, а домой приехали почти к 12 ночи. У нас была волшебная компания, боевой настрой и прекрасная погода, в общем все, чтобы шикарно провести время. Так оно и вышло!
Мы сходили на все аттракционы, посетили Дино -сафари и Дино парк. Василиса, кстати, осталась в восторге от динозавров и мас…
❤73❤🔥70💘64🔥59🦄5😍5
Showing the 11 most recent of 11 posts we hold for @zavtravtrende. 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 — 187,898 of 1,481,217entries 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Завтра в тренде💅🏽” (@zavtravtrende), 18,041 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/zavtravtrende.
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.
