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Channel

柬埔寨大事件|新闻曝光|安危头条

@JPZDSJ

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

223,827subscribers

+46,055 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001709859499
TypeChannel
Username@JPZDSJ
Description#柬埔寨大事件 #柬埔寨 #金边 #西港 @JPZDSJ 其他柬埔寨大事件均为盗版!防止被诈骗或敲诈勒索! 商务合作联系:t.me/Flau0228 管理 t.me/yysd8886 发布管理:t.me/baoguangjpz 柬埔寨大事件 @JPZDSJ 东南亚大事件 t.me/JPZDSJ886 灰产:t.me/HCBGDSJ 西港二手供需 @xigangdsj 金边二手供需 @JBRSSC 柬埔寨飞行员 @dongnanya_DJ 修车导航:https://t.me/JB
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/JPZDSJ

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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 11 other registered channels. This entry also sits inside a group of 11 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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)
Posted firstThenOverlapGap
@JPZDSJ/79927 · this entry8 Aug 2026, 10:21 UTC@JPZDSJ886/617408 Aug 2026, 10:21 UTC1.00under a minute
@JPZDSJ/81014 · this entry13 Aug 2026, 17:11 UTC@JPZDSJ886/6282413 Aug 2026, 17:11 UTC1.00under a minute
@JPZDSJ/85620 · this entry18 Sept 2026, 01:41 UTC@JPZDSJ886/6727618 Sept 2026, 01:41 UTC1.00under a minute
@JPZDSJ/86320 · this entry22 Sept 2026, 19:17 UTC@JPZDSJ886/6795422 Sept 2026, 19:17 UTC1.00under a minute
@JPZDSJ/86738 · this entry25 Sept 2026, 16:57 UTC@JPZDSJ886/6835825 Sept 2026, 16:57 UTC1.00under a minute
@JPZDSJ/86850 · this entry26 Sept 2026, 19:44 UTC@JPZDSJ886/6846726 Sept 2026, 19:44 UTC1.00under a minute
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
ChannelMatching postsText overlapTypical gapPublished first
@JPZDSJ886947 (8/8 hand-verifiable sample passed)1.00under a minute@JPZDSJ886 (718–229)
@HCBGDSJ943 (8/8 hand-verifiable sample passed)1.00under a minute@HCBGDSJ (702–241)
@JPZXWDSJBL649 (8/8 hand-verifiable sample passed)1.00under a minute@JPZXWDSJBL (396–253)
@TGXWDSJBL619 (8/8 hand-verifiable sample passed)1.00under a minute@TGXWDSJBL (379–240)
@dajian995406 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (208–198)
@dongnanya_DJ324 (8/8 hand-verifiable sample passed)0.995 minutes@dongnanya_DJ (289–35)
@DNY_DSJ1231 (8/8 hand-verifiable sample passed)1.00under a minute@DNY_DSJ1 (181–50)
@YNXWDSJBL203 (8/8 hand-verifiable sample passed)1.00under a minute@YNXWDSJBL (112–91)
@DNY_DSJ2136 (8/8 hand-verifiable sample passed)1.00under a minute@DNY_DSJ2 (111–25)
@DNY_DSJ3131 (8/8 hand-verifiable sample passed)1.00under a minute@DNY_DSJ3 (103–28)
@JBRSSC8 (5/8 hand-verifiable sample passed)0.8926 hoursthis entry (5–3)

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. 3,184 of the 3,184 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 2,384 comparable posts for this entry, running 7 August 2026 to 11 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).

Of the group of 11 channels, the one whose matching posts we hold earliest is @dongnanya_DJ. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 12 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.

Channels linked by matching posts

This channel is in a group of 11 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

172,137227,004199,570.5223,8277 August 202611 November 2026
63 measurements spanning 96 days, net +46,055. 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 163,907–235,234 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 21:45223,827+6,854
10 Nov 2026, 01:00216,973+6,584
8 Nov 2026, 13:46210,389+453
7 Nov 2026, 05:27209,936-153
6 Nov 2026, 06:46210,089-1,755
5 Nov 2026, 05:17211,844-235
4 Nov 2026, 03:47212,079-785
3 Nov 2026, 02:09212,864+2,792
2 Nov 2026, 05:10210,072+2,358
1 Nov 2026, 02:38207,714-1,473
31 Oct 2026, 01:11209,187-3,547
30 Oct 2026, 01:08212,734-2,497
29 Oct 2026, 00:07215,231-4,341
27 Oct 2026, 22:50219,572+557
26 Oct 2026, 19:57219,015-2,895
25 Oct 2026, 22:50221,910-2,714
24 Oct 2026, 20:06224,624-2,380
23 Oct 2026, 23:07227,004+5,504
23 Oct 2026, 02:41221,500-1,610
22 Oct 2026, 03:58223,110first reading

Engagement

2,403 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.894%
avg views ÷ 223,827 subscribers
Avg views / post
2,000
737 posts measured
Reaction rate
0.038%
reactions ÷ views · ER floor
Posts in window
742
of 2,403 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 33 of 737 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held2,403 (7 August 2026 – 11 November 2026)
Views total1,474,506
Reactions total24
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 02:18 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
≈67,100
Videos
≈15,200
Links
≈28,400

Lifetime counters from Telegram’s own channel header, read 12 November 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 36m
Average length
28s

Measured directly from 336 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

33 reactions across 33 posts, in 3 distinct kinds. The most used accounts for 51.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1751.5%
👏1442.4%
👍26.06%

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 43 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 33 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 2 October 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: 1 of 742 posts held from the last 30 days (0.135%) 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).

11 Nov 2026, 21:15 UTC≈3,000 views0 reactionsread 12 November 2026
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印尼警方在菲律宾秘密抓捕数十名网络诈骗嫌疑人,涉案人员正被押送回国 11月10日,印尼国家警察总长苏尤迪·阿里奥·塞托(Suyudi Ario Seto)透露,印尼警方近日在菲律宾展开秘密执法行动,成功抓获数十名涉嫌参与网络诈骗活动的人员,目前相关嫌疑人正被安排押送返回印尼。 据介绍,此次行动主要针对在菲律宾境内活动、以印尼国内民众为诈骗目标的跨境网络诈骗人员。 苏尤迪表示,警方已经成功控制一批涉案人员,并正在办理押送回国相关事宜,以便进一步调查案件。 目前,警方尚未公布具体抓捕人数、嫌疑人身份及诈骗团伙的详细情况。印尼警方表示,后续将由相关部门公布更多行动细节。 广告赞助商,均已上押担保 ✍️投稿文案找:阿峰:@yysd8886 ✍️️️东南亚资讯 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。 🌈🌈 频道广告赞助商 🌈🌈 🏆🏆🏆🏆🏆🏆【No钱包上押3000万/国际顶级品牌U投首…

11 Nov 2026, 21:15 UTC≈2,980 viewsread 12 November 2026
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11 Nov 2026, 21:14 UTC≈3,000 viewsread 12 November 2026
Video

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11 Nov 2026, 20:32 UTC≈2,980 viewsread 12 November 2026
Video

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11 Nov 2026, 20:32 UTC≈2,980 viewsread 12 November 2026
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11 Nov 2026, 20:04 UTC≈2,990 viewsread 12 November 2026
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#马来西亚资讯:吉打移民局突袭建筑工地,30名外籍人员被捕,涉及孟加拉、缅甸及印尼籍 11月10日上午,马来西亚吉打州移民局展开名为 Ops Sapu 的执法行动,突袭位于双溪大年 Bandar Amanjaya 的一处建筑工地,对现场49名外籍及本地人员进行身份检查。 行动中,执法人员共扣留30名涉嫌违反移民法令的外籍人员,其中包括17名孟加拉国籍、12名缅甸籍及1名印尼籍人员。据悉,被扣留人员包括27名男性及3名女性,年龄介于20岁至50岁之间。 行动结束后,30名被捕人员被送往 Belantik 移民拘留中心,以接受进一步调查及处理。有关部门将继续调查涉案人员是否涉及违反马来西亚移民法令。 此次行动再次体现马来西亚移民执法部门持续加强对外籍劳工及非法居留人员的检查力度。 广告赞助商,均已上押担保 ✍️投稿文案找:阿峰:@yysd8886 ✍️️️东南亚资讯 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印…

11 Nov 2026, 20:04 UTC≈2,980 viewsread 12 November 2026
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#马来西亚资讯:#槟州 两年捣毁60个网络诈骗呼叫中心,#曹观友 促加强房屋租赁监管 槟州首席部长曹观友指出,根据警方统计,2025年至2026年期间,槟州警方共捣毁60个网络诈骗呼叫中心据点,并展开60场突击取缔行动,其中2025年14场,2026年46场。 曹观友是在槟州第15届第4季第2次州立法议会上,书面答复武拉必区州议员王丽丽的提问时,公布上述数据。 从地区分布来看,槟岛东北县录得39场行动,其中2025年10场、2026年29场;西南县共8场,全部发生于2026年;威省威北县共4场,2025年及2026年各2场;威中县则有9场,其中2025年2场、2026年7场。威南县目前没有相关抓捕记录。 针对诈骗集团利用住宅作为呼叫中心的问题,曹观友建议,地方政府、警方、物业管理公司及房东加强合作,建立情报共享机制,并设立可疑活动举报渠道。 他指出,相关单位应特别留意频繁更换租客、房屋实际用途与登记资料不符等异常情况,…

11 Nov 2026, 20:03 UTC≈3,000 viewsread 12 November 2026
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11 Nov 2026, 19:06 UTC51 viewsread 12 November 2026
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#群友反馈:🇰🇭西港南海后门海之港酒店被围了,据说是有人打野,来了20多个宪兵把酒店封了。 广告赞助商,均已上押担保 ✍️投稿文案找:阿峰:@yysd8886 ✍️️️东南亚资讯 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。 🌈🌈 频道广告赞助商 🌈🌈 🏆🏆🏆🏆🏆🏆【No钱包上押3000万/国际顶级品牌U投首选,USDT充提,真人/电子/体育/棋牌/捕鱼/彩票】👈 🩷🩷🩷🩷🩷🩷🩷🩷🩷🩷 8G.COM 新人注册送38U 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍|真人返水1%|电子/棋牌/捕鱼返水1.5%|十三水/德州 无抽佣|百家乐真人视讯台红30万U 😀😀😀😀😀9G.COM 全球布局 实力保障 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀😀😀😀😀😀😀😀😀😀😀 实时返水5.0%秒到账,每日神秘彩金8888U 😎😎😎😎😎 储备金3亿U 放心大胆创 上押担保500万U 入款…

11 Nov 2026, 19:06 UTC≈3,000 viewsread 12 November 2026
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币安被盗牵出朝鲜! 11月8日,韩联社消息:针对币安被盗案,美国国务院发言人正式回应。核心观点很明确:各国政府必须协同行动,共同应对朝鲜的网络威胁。 美方呼吁所有联合国成员国严格执行现有对朝制裁,切断朝鲜为武器项目“搞钱”的渠道。发言人强调,协调一致的单边制裁是阻断武器扩散资金流的有力工具。 不过,关于是否已与韩国分享调查结果,或就追加制裁进行双边磋商,美方并未透露细节。此前,FBI已将此次黑客攻击归咎于朝鲜。 广告赞助商,均已上押担保 ✍️投稿文案找:阿峰:@yysd8886 ✍️东南亚资讯 欢迎各大媒体、自媒体转发。为了方便大家转发,我们不加水印、对爆料内容不加原创。 🌈🌈 频道广告赞助商 🌈🌈 🏆🏆🏆🏆🏆🏆【No钱包上押3000万/国际顶级品牌U投首选,USDT充提,真人/电子/体育/棋牌/捕鱼/彩票】👈 🩷🩷🩷🩷🩷🩷🩷🩷🩷🩷 8G.COM 新人注册送38U 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩🤩🤩 香港六合彩特码49倍…

11 Nov 2026, 19:00 UTC≈2,980 viewsread 12 November 2026
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11 Nov 2026, 18:59 UTC≈3,000 viewsread 12 November 2026
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Showing the 12 most recent of 2,403 posts we hold for @JPZDSJ. 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

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 18 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

东南亚大事件 @svip
@bx666 · 462,405
#1
迪拜大事件|迪拜新闻|Dubai生活资讯攻略
@dubai0 · 88,235
#2
柬埔寨大事件|柬埔寨新闻|The Cambodia生活资讯
@jpz39 · 13,346
#3
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,007
#4
东南亚新闻头条曝光🅥
@dny718 · 11,716
#5
柬埔寨華人信息
@jpz_888 · 12,142
#6
柬埔寨新闻|柬埔寨大事件|东南亚大事件
@jianpuzhaiuuuu · 15,152
#7
东南亚大事件曝光-聚焦时事
@jianpuzhaio · 12,320
#8
东南亚狗推(吃瓜)
@MB_149 · 129,692
#9
安危头条/新闻头条
@dnyawtt · 47,602
#10
中东环球观察
@zdhqxw · 676
#11
海外大事件-USD1
@usd1 · 253,332 (as read 17 August 2026)
#12
海外大事件(猎奇-吃瓜)
@aa144 · 34,590
#13
金边华人|柬埔寨大事件|东南亚大事件
@jinbianyy · 26,518
#14
🌏迪拜新闻曝光-安危头条🇦🇪迪拜通🔥
@dibaiTT · 153,378
#15
西港日记 柬埔寨通
@xigang6 · 4,152
#16
缅北悬赏通缉令(吃瓜)❖盈丰娱乐冠名🅥
@DNYTJL3 · 84,052
#17
西港TV|西港大事件|华人日报|安危事件|头条新闻|灰产新闻|灰产日报
@xigang361 · 128
#18
东南亚新闻大事件
@XJ_6666 · 32,858
#19
东南亚安危曝光|西港日记
@ZYWX6 · 86,209
#20
西港日记|柬埔寨事件(东南亚)【9y.com冠名】
@XGRIJI · 53,257
#21
迪拜新闻|迪拜大事件|东南亚大事件
@dibaif · 12,087
#22
东南亚曝光吧(吃瓜)
@SB919 · 120,228
#23
东南亚黑暗事件
@aq7777 · 49,824
#24
菲律宾华人事件
@svip40 · 129,420
#25
东南亚大事件
@kanxia · 437,528
#26
柬埔寨新闻|华人资讯曝光|cambodia news
@jianpuzhaihuarenzixun · 72,108
#27
柬埔寨新闻《柬埔寨曝光》
@sii76 · 200,896
#28
东南亚头条吃瓜
@svipzz · 56,553
#29
孟玺-东南亚悬赏通缉令
@mianbeitongjiling · 28,456
#30
柬埔寨新闻大事件
@jpz9118 · 69,838
#31
内涵搞笑🫥
@chiguahs · 107,687
#32
西港日记|柬埔寨大事件|东南亚大事件
@xigangz · 94,049
#33
柬埔寨柬单网
@jdw168 · 6,588
#34
soso东南亚-百科🌍
@ab100 · 125,246
#35
东南亚大事件|海外事件|吃瓜曝光|今日头条
@miandianDS · 41,602
#36
斯里兰卡大事件
@SriLanka_news1 · 27,234
#37
菲律宾大事件|菲律宾新闻|The Philippines生活资讯
@flb00 · 16,169
#38
柬生活:便民生活导航🇰🇭
@jpzdh0 · 50,085
#39
东南亚大事件/曝光@dj17
@dj17baoguang · 29,718
#40
柬埔寨大事件 @blj77
@blj77 · 164,249
#41
博度-新闻大事件
@bodu3605 · 444
#42
海外素材库
@sucai1 · 58,856
#43
西港租房168🏡(低价房源多)频道
@xigangzufang168 · 1,507
#44
木牌头条(二群)
@mupai77 · 4,069
#45
金边租房
@jinbianfangchan · 1,095
#46
西港租房🍀(一手最全房源)
@xigangzufangzi · 9,569
#47
利他地产💁🏻‍♂️金边租房🏡
@Jinbian654321 · 741
#48
求职招聘频道
@DBZPH · 48,361
#49

Read from Telegram’s recommendation API, most recently 17 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

东南亚黑暗事件
@aq7777 · 49,824
Telegram ranks this channel #16 of 64 here — alongside 63 others — read 23 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 #18 of 25 here — alongside 24 others — read 19 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 #25 of 49 here — alongside 48 others — read 21 August 2026
西港日记|柬埔寨大事件
@jianpuzhaidashijian · 44,007
Telegram ranks this channel #29 of 44 here — alongside 43 others — read 27 August 2026
泰国大事件|全球大事件曝光 悬赏
@xinwen0888 · 78,539
Telegram ranks this channel #31 of 70 here — alongside 69 others — read 17 August 2026
华人便民大事件-柬搜新闻កម្ពុជា។🇰🇭
@bgyq555 · 51,634
Telegram ranks this channel #40 of 43 here — alongside 42 others — read 23 August 2026
安危头条/新闻头条
@dnyawtt · 47,602
Telegram ranks this channel #52 of 65 here — alongside 64 others — read 23 August 2026

This channel appears in 7 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨大事件|新闻曝光|安危头条” (@JPZDSJ), 223,827 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/JPZDSJ.

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.