马来西亚男子在新加坡充当诈骗跑腿洗钱 获刑23个月鞭打一下 38岁马来西亚籍男子刘伟颜因欠债接下“高薪”招募,于2026年初赴新加坡充当诈骗集团跑腿。他在短短11天内替诈骗集团收取近30万新元的现金及金条。 期间被告虽怀疑工作合法性并试图退出,但遭诈骗集团索要1万令吉“脱身费”威胁。最终他不仅未赚得薪水,反而被警方逮捕。新加坡法院判处其坐牢23个月、鞭打一下并罚款250新元。

Channel
柬埔寨金边|西港情报局
@JPZJBFBI
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
38,466subscribers
-7,984 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002155669776 |
|---|---|
| Type | Channel |
| Username | @JPZJBFBI |
| Description | #亚太 #缅甸 #柬埔寨 #菲律宾 #泰国 #东南亚 #迪拜 #西港 #金边 #木牌 #吃瓜 #曝光 #新闻 #通缉 #寻人 #家属寻人 #大事件 #头条 本频道专注柬埔寨及周边东南亚国家头条新闻,例行光明之事,做正义之举,协助海外华人求助以及故事分享,理性分辨,欢迎各大热心网友在线投稿! 🇰🇭投稿曝光/商务广告: @XLJ05 |
| Created | Between 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 October 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 30 October 2026 |
| On Telegram | t.me/JPZJBFBI |
Topic
National news — 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 87% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Oct 2026, 02:48 | 38,466 | -329 |
| 29 Oct 2026, 04:37 | 38,795 | -177 |
| 27 Oct 2026, 23:59 | 38,972 | -198 |
| 26 Oct 2026, 22:16 | 39,170 | -130 |
| 25 Oct 2026, 21:54 | 39,300 | -194 |
| 24 Oct 2026, 18:20 | 39,494 | -156 |
| 23 Oct 2026, 20:27 | 39,650 | -225 |
| 22 Oct 2026, 17:36 | 39,875 | -206 |
| 21 Oct 2026, 10:05 | 40,081 | -162 |
| 20 Oct 2026, 05:47 | 40,243 | -123 |
| 19 Oct 2026, 08:16 | 40,366 | -56 |
| 18 Oct 2026, 10:26 | 40,422 | -77 |
| 17 Oct 2026, 07:35 | 40,499 | -25 |
| 16 Oct 2026, 10:51 | 40,524 | -107 |
| 15 Oct 2026, 13:37 | 40,631 | -81 |
| 14 Oct 2026, 14:37 | 40,712 | -106 |
| 13 Oct 2026, 01:37 | 40,818 | -311 |
| 8 Oct 2026, 13:55 | 41,129 | -418 |
| 4 Oct 2026, 03:59 | 41,547 | -735 |
| 25 Sept 2026, 07:58 | 42,282 | first reading |
Engagement
1,767 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 163 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.78%
- avg views ÷ 38,466 subscribers
- Avg views / post
- 3,380
- 633 posts measured
- Reaction rate
- 0.026%
- reactions ÷ views · ER floor
- Posts in window
- 633
- of 1,767 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 4 of 633 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 October 2026 |
|---|---|
| Posts held | 1,767 (7 August 2026 – 30 October 2026) |
| Views total | 2,136,811 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Oct 2026, 21:32 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
- ≈22,100
- Videos
- ≈3,480
- Links
- ≈1,600
Lifetime counters from Telegram’s own channel header, read 30 October 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 54m
- Average length
- 52s
Measured directly from 200 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
3 reactions across 3 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 5 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 3 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 11 September 2026 to 30 October 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
🇲🇾马来西亚沙巴斗湖警方突查8处酒店及旅馆,6人被捕 10月30日,据马来西亚媒体报道,沙巴州斗湖警方联合沙巴伊斯兰宗教事务局(JHEAINS),于10月29日在当地展开联合执法行动,突击检查8处廉价酒店及旅馆,共有6人被查获。 此次行动主要针对酒店及旅馆内涉嫌发生的不道德活动。执法人员对相关场所进行检查,并对涉事人员展开调查。行动结束后,6名涉事人员被移交沙巴伊斯兰宗教事务局,后续将依据沙巴州伊斯兰刑事罪行法令展开调查。 警方表示,未来将继续加强联合执法力度,严厉打击各类违法活动。 PS:大马杀疯了,到处都不放过
#马来西亚资讯:移民局一个月捣毁5个外籍诈骗集团,多地豪宅、民宿及度假村遭突击检查 马来西亚移民局于10月份展开多轮执法行动,先后捣毁5个涉嫌从事网络诈骗活动的外国人犯罪集团,行动涉及彭亨州、马六甲州、吉隆坡及雪兰莪州。 根据马来西亚《Sinar Harian》10月30日报道,相关行动分别于10月5日、22日、27日及28日至29日展开,执法地点包括彭亨州Sungai Lembing一处度假村、马六甲Klebang Kechil一处民宿,以及吉隆坡和雪兰莪多处豪华公寓及别墅。 调查发现,诈骗集团通常选择安保严格的豪华住宅、度假村及民宿作为运营据点,并频繁更换地点,以躲避执法部门追查。部分集团还安排专人负责采购和运送食物,尽量减少成员外出,降低被发现的风险。 移民局指出,目前正在进一步调查这5个诈骗集团之间是否存在关联,并将继续追查相关犯罪活动及涉案人员。
#网友反馈:金边市钻石岛街上有很多警车开过去,不知道有什么行动,在那边的注意了。
#网友求助|恳请大家帮忙寻找现在实在没有办法,只能借助广大朋友的力量,希望大家帮忙留意。 中通老板、纷享生活老板陶守冲(外号7哥)于26号前往香港后失联,疑似被绑架。请知情人士或曾与其同行者看到此消息后,协助其与家人联系,其家人非常担心他的安危。 如果有哪位朋友见过他本人,或者在香港等地有朋友、认识相关人员,哪怕只是一点点消息,对家人来说都非常重要。请告诉他让他用手机回下信息。
#菲律宾政坛 弹劾案风向有变?萨拉辩方满意度47%,高于控方 菲律宾社会气象站(SWS)最新民调显示,民众对副总统萨拉·杜特尔特弹劾审判中辩方的表现评价更高。调查显示,47%的受访者满意萨拉律师团队的表现,24%表示不满意,净满意度为+23;相比之下,控方满意度仅30%,不满意度达35%,净满意度为-5。 不过,这项调查于9月21日至27日进行,早于10月13日参议院弹劾法庭批准撤回三项指控的决定。目前案件仅剩涉及萨拉所谓“无法解释的财富”的第二项指控,辩方预计于11月9日审判恢复后开始提交证据。民调反映的是受访者对双方庭审表现的评价,并不代表法院最终裁决。
🎬币安被盗·史上最大黑客盗币 完整视频讲解,2分钟看完被盗全过程
#群友投稿:回国三个月了,在柬埔寨经历了很多。东南亚的路,注定不是一帆风顺。 从懵懂无知到饱经世故,或许成长是伴随着痛苦、压力、绝望、排挤和冷眼的。我依然觉得,这是一件好事情,能够打磨自己的心气,磨练自己的抗压能力。 这两年最可惜的是,自己没有带着钱回来。或许是自己时运不济,或许是自己还不够努力。从一个职场小白,学会了怎么去讨好领导,维护同事之间的关系。从西港到七星海,再到金边,一路走到现在。 也后悔当初自己跟自己较劲。如果当时把较劲的注意力放到客户上、事业上,或许我现在的结果会是另一种吧。 感觉柬埔寨的经历就像一场梦。回国之后,开始后悔自己回来的选择。我和曾经国内玩伴的生活开始脱轨,不管是兴趣还是认知,都有了不同。在国内也很无聊,没事就看看飞机。 随后,看到头条事件里面的曝光接二连三地出,我就知道,东南亚这条路已经开始模糊了。 唉,十分感谢这段经历对我的千锤百炼。很感谢之前的公司,我就不提集团了。相遇皆是缘分。 最…
币安预计 45 小时内恢复提款,已冻结约 30 亿美元资产 币安发布调查更新称,初步调查显示此次安全事件可能涉及一台被入侵的笔记本电脑,后续调查则发现了更多入侵点。币安表示,这是一次复杂攻击,目前正与执法部门协调处理,并继续收集事实,后续将直接分享更多信息。币安将使用 SAFU 基金和公司资金承担全部损失,并称用户资金安全。 币安仍预计在 45 小时内恢复提款服务,充值不受影响。此前暂停提款后,资金外流已停止。币安正与合作伙伴冻结受影响资产,目前已冻结约 30 亿美元,并将通过官方渠道提供进一步更新。
柬埔寨警方召开网络犯罪打击工作会议,总结前10个月成果并部署下一步行动 #柬埔寨资讯 10月30日上午,柬埔寨国家警察总署网络犯罪打击局在国家警察总署会议厅召开2026年前10个月工作总结会议。 会议由国家警察总署副总监、警察中将谢波(Chea Pov)主持,警察少将索尼迪亚(Sok Nitya)、该局多名副局长及相关官员出席。 会议主要回顾和评估今年前10个月打击网络犯罪工作的进展与成果,同时讨论下一阶段的工作方向。^^ 警方表示,接下来将进一步加强打击和预防网络犯罪的工作,提高执法效率。
🇸🇬🇹🇭新加坡和泰国合作 捣毁跨国卖淫集团 近日,新加坡警方与泰国警方展开跨国联合执法行动,成功捣毁一个招募外国女子到新加坡卖淫的跨国犯罪集团。四名年龄介于33岁到46岁的新加坡和泰国籍男女在泰国落网。 警方在调查过程中掌握了集团的运作手法及重要线索,并同泰国当局交换调查资料,先后将四名涉案嫌犯逮捕归案。 这次行动成功瓦解集团的运作,集团在新加坡的卖淫活动已停止,相关Telegram群组也已关闭。
黑色星期五😣 以下为当前币安被盗情况一览 ▶️ 被盗时间:10.30 凌晨 04:10 出现首笔热钱包可疑转出 ▶️ 被盗金额:链上转出资金 58.7 亿美元,其中30亿美元已被 Tether 和 Circle 冻结 ▶️ 链上转移:被转移资产中 USDT 金额达 17.7 亿美元,其次为BTC 14.4 亿,ETH 近10亿;黑客将热钱包中的ENA / PEPE / UNI / LINK 等大量山寨币抛售为 ETH,使得币价短时暴跌
Showing the 12 most recent of 1,767 posts we hold for @JPZJBFBI. 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.
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 October 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨金边|西港情报局” (@JPZJBFBI), 38,466 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/JPZJBFBI.
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.