11 measurements spanning 27 days, net -2,716. 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 4,260–7,790 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
3 Sept 2026, 18:18
4,667
-782
31 Aug 2026, 00:48
5,449
-729
27 Aug 2026, 22:45
6,178
-353
25 Aug 2026, 03:08
6,531
-407
21 Aug 2026, 11:05
6,938
-95
18 Aug 2026, 00:08
7,033
-128
14 Aug 2026, 14:37
7,161
-119
10 Aug 2026, 23:11
7,280
-101
7 Aug 2026, 22:11
7,381
-2
7 Aug 2026, 19:31
7,383
no change
7 Aug 2026, 19:28
7,383
first reading
Engagement
10 posts held, back to 21 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 11 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.06%
avg views ÷ 4,667 subscribers
Avg views / post
96.0
3 posts measured
Reaction rate
7.29%
reactions ÷ views · ER floor
Posts in window
3
of 10 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 19 August 2026
Posts held
10 (21 July 2026 – 19 August 2026)
Views total
288
Reactions total
21
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Aug 2026, 02:39 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
25s
Average length
25s
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
256 reactions across 10 posts, in 13 distinct kinds. The most used accounts for 32.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
82
32.0%
🔥
64
25.0%
🥰
38
14.8%
🕊
22
8.59%
😍
19
7.42%
custom 5327950150943922946
8
3.13%
🤩
8
3.13%
🐳
5
1.95%
😘
4
1.56%
💘
3
1.17%
🆒
1
0.391%
🍓
1
0.391%
💊
1
0.391%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 10 of the 10 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 256 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 21 July 2026 to 19 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.
девочки, нет ничего лучше чувства, когда вечером ложишься в свежевыстиранное постельное бельё
я тут открыла для себя корейскую линейку soo-yun от фаберлик и хочу поподробнее рассказать про каждый продукт, потому что они реально стоят внимания:
кондиционер «иланг-иланг и роза» — это вообще моя главная любовь. бельё после него становится нереально мягким и совсем не электризуется. а сам аромат... очень тонкий, дорогой…
собрала идеальный комбо-сет для здоровья барьера и спокойствия кожи ✨
знакомьтесь с бережным уходом от бренда The U, который я беру уже не в первый раз — он базовый, направленный на бережное очищение, увлажнение и восстановление:
Tochilka Cleansing Balm — гидрофильный бальзам. мягко растворяет даже стойкий макияж и spf, не забивая поры.
Barrier Bubble Foam — воздушная пенка-мусс. деликатно очищает, сохраняя гидроли…
база для посудомойки, которую беру далеко не первый раз 🤍
для меня бренд biomio — это уже проверенная классика и любовь, к которой всегда возвращаюсь:
эко-таблетки (100 шт):
с эфирным маслом эвкалипта и энзимами. полностью растворяются (оболочку снимать не надо!), отмывают даже присохшую еду и не оставляют резкого запаха на посуде.
специальная эко-соль:
крупнокристаллическая, защищает машинку от накипи, смягчает в…
наконец-то в ванной появилась паста, которую не нужно вечно выдавливать и скручивать🦷
открыла для себя зубную пасту youniq от GRASS в гигантском флаконе с дозатором!!
❤️ она обещает осветление на 1-2 тона, и это действительно так!! зубы становятся заметно светлее, но без повышения чувствительности.
❤️в составе диоксид кремния (для полировки эмали), поливинилпирролидон (для удаления налета) и фтор для защиты от кари…
собрала себе полный комплект от любимого biomed, поэтому больше никаких скучных мятных тюбиков — только фруктовые вкусы и супер крутые составы!!🦷
⛳️две зубные щетки:
в сочных фиолетовых и оранжевых оттенках. у них очень классная густая щетина, которая деликатно очищает, полирует эмаль и не травмирует десны.
⛳️две пасты для молекулярного отбеливания:
с клубникой (обещает отбеливание до 4 тонов за месяц) и гуавой (до…
обожаю бренд 11i professional всей душой, и сегодня наконец-то записала вам мини-туториал, как я делаю укладку на их пенку curly hair styling mousse 🤍
📍на видео видно весь процесс: пенка ложится легким облачком, очень круто очерчивает локоны и оставляет их супермягкими, рассыпчатыми и с красивым завитком!!
ну и раз уж хвастаюсь своими любимчиками, то в кадре еще два моих любимых продукта, которые я регулярно повтор…
нашла безумно нежную детскую линейку umooo от фаберлик, и купание теперь проходит только в компании этих забавных зверят💗
разбираемся, кто тут у нас:
🐰 нежный детский гель (0+) с зайкой — бережно очищает и чувствительную кожу, и первые волосики, абсолютно не сушит и не стягивает.
🧸 средство для купания «травяной сбор» (0+) с мишкой — идеальная штука на вечер. в составе мягкие экстракты трав, которые отлично успока…
лучшая бьюти-инвестиция в уход моего мужчины — тоник 3 в 1 от MAN WAY🌿
📎если ваш парень до сих пор считает, что умывания обычной водой вполне достаточно, этот флакон точно изменит его мнение.
мой пользуется им каждый день после душа и бритья, и разница правда заметна.
❤так что вот, вам три причины, почему он ему зашел:
🤍моментально убирает стянутость после жесткой воды.
🤍приятно освежает и тонизирует кожу без ощуще…
в такую жару этот флакон шампунь-кондиционер-гель от MAN WAY — это лучшее, что можно придумать🔽
у него нереальный ментоловый аромат с нотками чайного дерева, который дает мощный охлаждающий эффект!!
1️⃣это органика: никаких sles, sls, парабенов и пегов. кожа после него не пищит от сухости, а волосы (если мыть им голову) остаются мягкими.
2️⃣чайное дерево + пантенол: идеальное комбо, чтобы успокоить раздражения и дат…
🔥18🥰14😍14🤩8🐳4🕊1🆒1
Showing the 10 most recent of 10 posts we hold for @glowbyelya04. 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.
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
Named by 2 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.
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 3 September 2026 — this
entry's latest reading, not the date you are reading this.
“GLOW BY ELYA” (@glowbyelya04), 4,667 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/glowbyelya04.
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.