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 11 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 the other topics.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 11 of the 11 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 548 comparable posts for this entry, running 7 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
63 measurements spanning 96 days, net +403. 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 9,297–16,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
11 Nov 2026, 19:09
13,346
-187
9 Nov 2026, 18:57
13,533
-84
8 Nov 2026, 09:59
13,617
-68
7 Nov 2026, 04:45
13,685
-68
6 Nov 2026, 01:05
13,753
-18
5 Nov 2026, 01:15
13,771
-50
3 Nov 2026, 22:29
13,821
-8
2 Nov 2026, 20:47
13,829
-26
1 Nov 2026, 18:20
13,855
-208
31 Oct 2026, 16:07
14,063
-88
30 Oct 2026, 16:41
14,151
-94
29 Oct 2026, 18:48
14,245
-107
28 Oct 2026, 18:10
14,352
-76
27 Oct 2026, 20:38
14,428
-77
26 Oct 2026, 19:56
14,505
-83
25 Oct 2026, 22:15
14,588
-76
25 Oct 2026, 00:35
14,664
-83
24 Oct 2026, 02:29
14,747
-194
22 Oct 2026, 23:40
14,941
-130
21 Oct 2026, 21:49
15,071
first reading
Engagement
562 posts held, back to 7 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.25%
avg views ÷ 13,346 subscribers
Avg views / post
834
205 posts measured
Reaction rate
0.141%
reactions ÷ views · ER floor
Posts in window
205
of 562 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 10 of 205 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 11 November 2026
Posts held
562 (7 August 2026 – 11 November 2026)
Views total
170,968
Reactions total
9
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:53 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
1h 40m
Average length
26s
Measured directly from 236 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
18 reactions across 18 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
9
50.0%
👍
8
44.4%
🥰
1
5.56%
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 21 of the 562 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 18 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 562 most recent posts we hold, published 7 August 2026 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 205 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
#马来西亚资讯:马六甲突袭网络诈骗呼叫中心,11名泰国籍人员被捕
11月11日,据马来西亚媒体报道,马六甲警方于11月9日晚上10时10分左右,在马六甲州 Taman Kota Shahbandar 展开突击行动,捣毁一处涉嫌从事网络诈骗活动的呼叫中心,现场逮捕11名泰国籍人员。被捕人员包括4名男子和7名女子,年龄介于18岁至36岁之间。
警方初步调查发现,该诈骗团伙自2026年10月初开始运作,涉嫌冒充执法机构工作人员,主要以泰国民众为诈骗目标,通过电话实施诈骗。
行动期间,警方查获11台笔记本电脑、11部手机以及1台网络路由器,估计总值约2万令吉。
警方表示,初步调查显示,被捕人员参与期间尚未领取工资。此前有关该团伙提供每月2500至6000令吉薪资及佣金的说法,属于警方调查中涉及的薪酬信息。
目前,11名嫌疑人已被延扣4天,以协助警方调查。案件援引马来西亚《刑事法典》第420条(诈骗)及第120B条(刑事串谋)展…
Showing the 12 most recent of 562 posts we hold for @jpz39. 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.
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.
柬埔寨大事件|新闻曝光|安危头条 @JPZDSJ · 216,973 Telegram ranks this channel #3 of 49 here — alongside 48 others — read 17 August 2026
迪拜大事件|迪拜新闻|Dubai生活资讯攻略 @dubai0 · 88,235 Telegram ranks this channel #4 of 25 here — alongside 24 others — read 19 August 2026
西港日记/柬埔寨新闻资讯 @xigang8I8 · 140,541 Telegram ranks this channel #5 of 38 here — alongside 37 others — read 24 August 2026
西港日记|柬埔寨事件(东南亚)【9y.com冠名】 @XGRIJI · 53,257 Telegram ranks this channel #6 of 49 here — alongside 48 others — read 21 August 2026
东南亚大事件|柬埔寨新闻|头号玩家生活资讯 @dny12378 · 64,646 Telegram ranks this channel #8 of 68 here — alongside 67 others — read 18 August 2026
东南亚吃瓜日记 @dynnn · 128,198 Telegram ranks this channel #12 of 29 here — alongside 28 others — read 13 August 2026
东南亚 @dubai1w · 148,630 Telegram ranks this channel #12 of 45 here — alongside 44 others — read 12 August 2026
西港日记|柬埔寨大事件 @jianpuzhaidashijian · 44,012 Telegram ranks this channel #13 of 44 here — alongside 43 others — read 27 August 2026
🌏泰国新闻曝光-攻略头条🔥 @taiguopindao · 85,241 Telegram ranks this channel #13 of 27 here — alongside 26 others — read 12 August 2026
东南亚大新闻 @HYY3333 · 101,669 Telegram ranks this channel #14 of 41 here — alongside 40 others — read 16 August 2026
西港日记|柬埔寨大事件|东南亚大事件 @xigangz · 94,049 Telegram ranks this channel #14 of 65 here — alongside 64 others — read 15 August 2026
🌏迪拜新闻曝光-安危头条🇦🇪迪拜通🔥 @dibaiTT · 153,378 Telegram ranks this channel #16 of 41 here — alongside 40 others — read 12 August 2026
西港日记|柬埔寨大事件 @xgrj0 · 148,875 Telegram ranks this channel #16 of 21 here — alongside 20 others — read 12 August 2026
东南亚大事件|海外事件|吃瓜曝光|今日头条 @miandianDS · 41,602 Telegram ranks this channel #17 of 50 here — alongside 49 others — read 27 August 2026
🇦🇪迪拜大事件I九尾曝光I全球新闻IDuBai生活资讯攻略🇦🇪 @Dubai1817 · 117,523 Telegram ranks this channel #17 of 27 here — alongside 26 others — read 18 August 2026
迪拜/东南亚/大事件曝光生活资讯攻略 @tingyu0002 · 218,968 Telegram ranks this channel #17 of 27 here — alongside 26 others — read 11 August 2026
头条大事件 @alqxzs · 45,078 Telegram ranks this channel #18 of 24 here — alongside 23 others — read 28 August 2026
东南亚大事件 吃瓜新闻 马来西亚 @chiguak · 107,869 Telegram ranks this channel #20 of 46 here — alongside 45 others — read 23 August 2026
柬埔寨新闻大事件 @jpz9118 · 70,179 Telegram ranks this channel #20 of 79 here — alongside 78 others — read 14 August 2026
生活素材包装【阿Q资讯】 @AQzx_7 · 67,400 Telegram ranks this channel #23 of 42 here — alongside 41 others — read 23 August 2026
柬埔寨新闻|华人资讯曝光|cambodia news @jianpuzhaihuarenzixun · 72,375 Telegram ranks this channel #23 of 72 here — alongside 71 others — read 15 August 2026
内涵段子 🔥搞笑视频 天🌐下 @neihanduanzi1 · 208,895 Telegram ranks this channel #24 of 44 here — alongside 43 others — read 11 August 2026
柬埔寨大事件|西港新闻 @JPZshibao888 · 70,943 Telegram ranks this channel #28 of 44 here — alongside 43 others — read 18 August 2026
东南亚大事件 @svip @bx666 · 462,405 Telegram ranks this channel #29 of 40 here — alongside 39 others — read 10 August 2026
This channel appears in 35 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“柬埔寨大事件|柬埔寨新闻|The Cambodia生活资讯” (@jpz39), 13,346 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/jpz39.
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.