Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
24 measurements spanning 31 days, net +17,441. 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 56,131–91,393 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
17 Sept 2026, 23:21
82,559
-508
15 Sept 2026, 17:20
83,067
-409
14 Sept 2026, 04:39
83,476
-591
12 Sept 2026, 15:41
84,067
-875
10 Sept 2026, 12:56
84,942
-2,382
7 Sept 2026, 05:56
87,324
+27,124
4 Sept 2026, 10:18
60,200
-1,279
2 Sept 2026, 19:26
61,479
-810
1 Sept 2026, 20:29
62,289
-796
31 Aug 2026, 21:06
63,085
-252
30 Aug 2026, 19:27
63,337
-269
29 Aug 2026, 19:28
63,606
-304
28 Aug 2026, 17:24
63,910
-156
27 Aug 2026, 20:02
64,066
-20
26 Aug 2026, 18:26
64,086
-110
25 Aug 2026, 15:46
64,196
-117
24 Aug 2026, 18:43
64,313
-147
23 Aug 2026, 02:34
64,460
-152
21 Aug 2026, 12:08
64,612
-71
20 Aug 2026, 12:38
64,683
first reading
Engagement
1,069 posts held, back to 17 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.10%
avg views ÷ 82,559 subscribers
Avg views / post
5,040
876 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
876
of 1,069 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 792 of 876 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 21 September 2026
Posts held
1,069 (17 August 2026 – 21 September 2026)
Views total
4,412,668
Reactions total
40,254
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
21 Sept 2026, 13:18 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
≈40,300
Videos
≈13,100
Links
≈27,600
Lifetime counters from Telegram’s own channel header, read 21 September 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
2h 22m
Average length
26s
Measured directly from 331 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
46,043 reactions across 904 posts, in 10 distinct kinds. The most used accounts for 20.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
9,292
20.2%
👍
9,233
20.1%
🎉
9,157
19.9%
🔥
9,148
19.9%
😁
9,125
19.8%
👏
76
0.165%
👎
6
0.013%
🥰
3
0.007%
💩
2
0.004%
⚡
1
0.002%
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 906 of the 1,000 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 46,043 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 19 August 2026 to 21 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.
Showing the 12 most recent of 1,069 posts we hold for @jpzxzsxw. 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
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.
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.
头条大事件 @alqxzs · 49,097 Telegram ranks this channel #2 of 24 here — alongside 23 others — read 28 August 2026
吃瓜 搞笑 美女🎉 @chigu0777 · 56,892 Telegram ranks this channel #6 of 22 here — alongside 21 others — read 29 August 2026
泰国大事件|全球大事件曝光 悬赏 @xinwen0888 · 104,929 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 17 August 2026
东南亚大事件 澳门六合彩 香港六合彩 @jpzvo · 100,259 Telegram ranks this channel #9 of 17 here — alongside 16 others — read 17 September 2026
今日头条 @huarentt · 42,039 Telegram ranks this channel #12 of 19 here — alongside 18 others — read 2 September 2026
This channel appears in 5 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“柬埔寨小助手|新闻｜爆料｜大事件” (@jpzxzsxw), 82,559 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/jpzxzsxw.
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.
