25 measurements spanning 28 days, net -108. 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 11,540–11,681 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Sept 2026, 07:21
11,557
-2
3 Sept 2026, 09:28
11,559
-4
2 Sept 2026, 01:37
11,563
+7
1 Sept 2026, 05:08
11,556
-8
31 Aug 2026, 03:27
11,564
-7
30 Aug 2026, 06:24
11,571
-5
29 Aug 2026, 08:53
11,576
-3
28 Aug 2026, 05:25
11,579
-2
27 Aug 2026, 04:28
11,581
+3
26 Aug 2026, 01:14
11,578
-10
25 Aug 2026, 01:23
11,588
-1
23 Aug 2026, 11:43
11,589
+6
20 Aug 2026, 18:47
11,583
-2
19 Aug 2026, 15:12
11,585
-2
18 Aug 2026, 12:03
11,587
-8
17 Aug 2026, 09:28
11,595
-13
15 Aug 2026, 16:23
11,608
-16
14 Aug 2026, 00:53
11,624
-7
12 Aug 2026, 17:46
11,631
-4
11 Aug 2026, 20:42
11,635
first reading
Engagement
66 posts held, back to 5 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 42 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.96%
avg views ÷ 11,557 subscribers
Avg views / post
689
52 posts measured
Reaction rate
3.68%
reactions ÷ views · ER floor
Posts in window
52
of 66 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 2 September 2026
Posts held
66 (5 August 2026 – 2 September 2026)
Views total
35,827
Reactions total
1,319
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 23:42 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
1m 05s
Average length
22s
Measured directly from 3 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
1,619 reactions across 66 posts, in 9 distinct kinds. The most used accounts for 96.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,555
96.0%
🥰
25
1.54%
😭
12
0.741%
❤🔥
7
0.432%
😢
7
0.432%
😍
5
0.309%
🎉
3
0.185%
😱
3
0.185%
👍
2
0.124%
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 66 of the 66 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 1,619 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 66 most recent posts we hold, published 5 August 2026 to 2 September 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.
#WINTER Bubble Update
-[02/09/2026]-
[IDN]
+ pic
Oh, aku belum nonton Odyssey.
Tadi aku baru ingat pas lagi sikat gigi…
…. Bukan, aku sebenarnya mau nonton di bioskop 😭
[ENG
+ pic
Oh, I haven’t seen Odyssey
I remembered while brushing my teeth
.... No, I wanted to see it at the movie theater.
https://t.me/aespabubble4
‼️ Do Not Repost ‼️
- jc
#KARINA Bubble Update
-[02/09/2026]-
[IDN]
+ pic
Aku akan kembali-🫶🏻🧚♀️
Sudah lama banget sejak terakhir kali aku naik pesawat untuk penerbangan yang lama.
Aku agak gugup.
[ENG
+ pic
I’ll be back-🫶🏻🧚♀️
It’s been a long time since I flew for a long time.
I’m a little nervous
https://t.me/aespabubble4
‼️ Do Not Repost ‼️
- jc
#WINTER Bubble Update
-[01/09/2026]-
[IDN]
+ vid
Lihat tuh, kamu masih bernapas. 😂
Boneka anak anjing yang kelihatan lembut di sana itu adalah anjing favorit Ponyo.
Mereka itu anggota keluarga?? Sylvanian atau apa sih? Pokoknya itu…
Tapi kalau dibawa satu-satu dan dikoleksi… aku cuma gigit-gigit aja. 😂
+ pic
Kayaknya kamu punya banyak banget yang mau diceritain, ya?
[ENG]
+ vid
Look at you breathing.
The pup…
#WINTER Bubble Update
-[01/09/2026]-
[IDN]
+ 2 pic
Aku tidak bisa dipisahkan dari Ponyo....
Putriku....
Putri sae-chim-ku ㅜㅜㅜㅜ
+ pic
[ENG]
+ 2 pic
I can’t be separated from Ponyo....
My princess...
My sae-chim princess ㅜㅜㅜㅜ
+ pic
https://t.me/aespabubble4
‼️ Do Not Repost ‼️
- jc
#KARINA Bubble Update
-[01/09/2026]-
[IDN]
Saya membayangkan Anda sudah di sini sejak pagi menunggu saya 😢
Terima kasih, Nike. Yang ini super nyaman dan lucu, kan?
Bukan iklan, saya serius.
Hehe, saya tidak bisa hanya dipukul sendirian.
Saya juga perlu dipukul.
Saya ingin menyapa Anda lebih lama 😢
Terima kasih selalu datang untuk melihat saya..🫶🏻🫶🏻
[ENG]
I imagine you've been here since morning waiting for me…
#KARINA Bubble Update
-[31/08/2026]-
[IDN]
+ pic
Tapi sungguh?
Hal ini
Pasti sangat lezat
[ENG]
+ pic
But really?
This thing
Must have been incredibly delicious
https://t.me/aespabubble4
‼️ Do Not Repost ‼️
- jc
#KARINA Bubble Update
-[31/08/2026]-
[IDN]
+ pic
Aku digigit nyamuk di wajahku lagi.
Tiga gigitan di leherku, satu di wajahku, total empat gigitan.
Apakah karena leherku panjang?
Mereka menggigit dalam garis lurus, sialan.
Hoo... aku akan menghancurkan mereka.
[ENG]
+ pic
I got bitten by a mosquito on my face again.
Three bites on my neck, one on my face, four bites in total.
Is it because my neck is long?
…
#NINGNING Bubble Update
-[27/08/2026]-
[IDN]
+ pic
Tujuh kami bukan lagi anak laki-laki ㅠㅠㅠㅠ Maafkan aku, Ibu.
Dia kembali dari operasi. Dia sangat diam dan tidak mengucapkan sepatah kata pun.
Dia sangat lucu ㅠㅠㅠ
Sakitnya semakin terasa karena dia begitu diam.
Tapi aku mendengar bahwa melakukan operasi dengan cepat baik untuk anjing...
Dia terlihat seperti sedang berpikir banyak. Apa yang dipikirkan Tujuh? Apa…
#KARINA Bubble Update
-[27/08/2026]-
[IDN]
Saya pergi ke kebun binatang
+ vid
Ini membuat saya gila
Sangat menggemaskan
+ 2 pic
[ENG]
I went to the zoo
+ vid
This is driving me crazy
It's incredibly cute
+ 2 pic
https://t.me/aespabubble4
‼️ Do Not Repost ‼️
- jc
#KARINA Bubble Update
-[27/08/2026]-
[IDN]
+ pic
Keluar untuk membaca buku
Tadi saya sangat mengantuk
tapi setelah mandi dan keluar, saya merasa sedikit lebih segar~?
[ENG]
+ pic
Came out to read a book
I was super sleepy earlier
but after showering and coming out, I’m feeling a bit more awake~?
https://t.me/aespabubble4
‼️ Do Not Repost ‼️
- jc
#GISELLE Bubble Update
-[26/08/2026]-
[IDN]
+ pic
Jangan lihat lemparan pembuka saya, nikmati saja permainannya.
[ENG]
+ pic
Don't watch my opening pitch, just enjoy the game.
https://t.me/aespabubble4
‼️ Do Not Repost ‼️
- jc
❤32😍5
Showing the 12 most recent of 66 posts we hold for @aespabubble4. 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 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
AESPA UPDATE #KISSNTELL @aespaupdate4 · 37,599 Telegram ranks this channel #2 of 52 here — alongside 51 others — read 31 August 2026
SQUAD EDUCATION SPM/STPM (2026/2027) @upuonline2026 · 57,520 Telegram ranks this channel #40 of 48 here — alongside 47 others — read 23 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 September 2026 — this
entry's latest reading, not the date you are reading this.
“AESPA BUBBLE” (@aespabubble4), 11,557 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/aespabubble4.
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.