16 measurements spanning 18 days, net +362. 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 37,532–38,002 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
30 Aug 2026, 04:35
37,948
+13
28 Aug 2026, 06:05
37,935
+18
27 Aug 2026, 06:52
37,917
+67
26 Aug 2026, 07:53
37,850
+19
25 Aug 2026, 04:54
37,831
-1
24 Aug 2026, 01:47
37,832
-2
22 Aug 2026, 12:13
37,834
-21
21 Aug 2026, 00:27
37,855
+44
20 Aug 2026, 00:47
37,811
+8
18 Aug 2026, 23:15
37,803
-52
17 Aug 2026, 21:16
37,855
-26
16 Aug 2026, 20:58
37,881
+35
15 Aug 2026, 12:28
37,846
+113
14 Aug 2026, 00:54
37,733
+122
12 Aug 2026, 16:05
37,611
+25
11 Aug 2026, 19:46
37,586
first reading
Engagement
257 posts held, back to 11 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 41 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
15.1%
avg views ÷ 37,948 subscribers
Avg views / post
5,730
257 posts measured
Reaction rate
0.479%
reactions ÷ views · ER floor
Posts in window
257
of 257 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. It is computed over the 254 of 257 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 30 August 2026
Posts held
257 (11 August 2026 – 30 August 2026)
Views total
1,471,441
Reactions total
7,037
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
30 Aug 2026, 19:11 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
≈3,580
Videos
≈534
Links
≈4,140
Lifetime counters from Telegram’s own channel header, read 30 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
8m 28s
Average length
16s
Measured directly from 32 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
7,037 reactions across 254 posts, in 54 distinct kinds. The most used accounts for 5.20% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
366
5.20%
💯
279
3.96%
🎄
218
3.10%
🤗
216
3.07%
🤣
215
3.06%
👏
211
3.00%
😍
205
2.91%
😘
199
2.83%
🏆
191
2.71%
🍌
178
2.53%
🌭
176
2.50%
😎
176
2.50%
🙏
176
2.50%
👍
174
2.47%
🎉
173
2.46%
🤝
172
2.44%
🔥
168
2.39%
😁
167
2.37%
🤩
166
2.36%
🎃
165
2.34%
34 further kinds
3,046
43.3%
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 254 of the 257 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 7,037reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 257 most recent posts we hold, published 11 August 2026 to 30 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.
Advertising
Ad load
1.56%
4 of 257 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
1,660
over 4 measured posts
Median views · rest
5,620
over 253 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 257 most recent posts we hold, published 11 August 2026 to 30 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Keeping an eye on the latest looks from the Venice Film Festival red carpet 🤍👀
Caitriona Balfe in Armani Privé, Shu Qi in Armani Privé, Nicole Kidman dazzling in Schiaparelli haute couture — and capping off the evening’s standout moments, Ursula Corbero bringing the heat.
What do you think of this year’s fashion so far?
❤️ — absolutely loving it!
💔 — feels a bit underwhelming…
Trend
Ah, interesting! Perfect is reporting that Bella Hadid will release her book *Between Us* in celebration of her 30th birthday.
Her visual memoir, set to be published by Rizzoli, will trace her journey from early adolescence to the top of the fashion world. The story unfolds through photographs taken by her childhood best friend, Yasmine Dabbous, alongside never-before-seen images by Bella herself, handwritten notes,…
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Mayi Rayleigh, stylist for Megan Fox and Elsa Hosk, and former stylist for Hailey Bieber, shared that she’s been “sober and clean” for 19 years.
As it turns out, Mayi struggled with substance dependence during her teenage years. At just 17, she made the decision to let go of everything harming her life and mental well-being. She’s held that commitment for 19 years now—and it’s powerful that she chose to share this j…
It seems mules—long forgotten—are making a comeback, replacing ballet flats. Take, for example, this new pair by Simona Vanth.
That said, the Balletcore vibe is still very much alive. #Balletcore
Trend
Today we’re diving deep into the work of artist Meave van Klaaren.
Her paintings typically center on women in a variety of everyday situations. Meave works with watercolor and soft pastels, placing special emphasis on tone and style—rich burgundy, olive, and plum hues feature prominently in her pieces. It’s a palette we can definitely get behind.
“All the stories you see come from daily life. When something intrigu…
We’re not done unpacking the Met Gala: turns out, The Mark hotel (the go-to stay for A-listers prepping for the ball) just launched a wild collaboration—with KFC and caviar brand Caviar Kaspia.
On the ground floor, guests could grab a branded food truck pop-up offering chicken strips topped with black caviar, all washed down with fries 🍟—perfect fuel before hitting the red carpet.
Now we know why Rihanna and Rocko …
Showing the 12 most recent of 257 posts we hold for @frontluxe. 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 — 86,634 of 1,627,068entries 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 5 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@frontluxe named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@bitchseida named in 1 post, 30 August 2026 – 30 August 2026
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 30 August 2026 — this
entry's latest reading, not the date you are reading this.
“Trend” (@frontluxe), 37,948 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/frontluxe.
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.