#柬埔寨新闻:金边查获6名印巴籍网络诈骗嫌疑人 10月27日,金边波森芷区统一指挥部对新世界城一处出租屋开展行政检查,查获6名涉嫌从事网络诈骗的人员,其中包括3名印度籍人员和3名巴基斯坦籍人员。 行动中,执法人员查获5本护照(其中4人签证过期、1人无护照)、2台笔记本电脑、17部手机及2辆摩托车等物品。 目前,涉案物品已移交金边市警察局科技犯罪打击局,6名涉案人员已移交移民局依法处理,涉案窝点暂时被封停。

Channel
柬埔寨木牌|波贝情报局
@JPZXGFBI
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
41,320subscribers
-8,551 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 | -1002160292003 |
|---|---|
| Type | Channel |
| Username | @JPZXGFBI |
| 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 欢迎关注柬埔寨新闻频道 关注本频道,将有更多东南亚及柬埔寨最新闻头条,欢迎广大网友积极投稿一手新闻信息! 🇰🇭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 | 29 October 2026 |
| Measurements held | 53 |
| Confirmed unchanged | 1 time, most recently 29 October 2026 |
| On Telegram | t.me/JPZXGFBI |
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 |
|---|---|---|
| 29 Oct 2026, 23:49 | 41,320 | -146 |
| 28 Oct 2026, 23:20 | 41,466 | -208 |
| 27 Oct 2026, 22:46 | 41,674 | -229 |
| 26 Oct 2026, 22:36 | 41,903 | -137 |
| 25 Oct 2026, 20:10 | 42,040 | -113 |
| 24 Oct 2026, 23:05 | 42,153 | -218 |
| 23 Oct 2026, 20:35 | 42,371 | -263 |
| 22 Oct 2026, 17:58 | 42,634 | -254 |
| 21 Oct 2026, 13:44 | 42,888 | -158 |
| 20 Oct 2026, 12:09 | 43,046 | -112 |
| 19 Oct 2026, 12:17 | 43,158 | -120 |
| 18 Oct 2026, 10:31 | 43,278 | -46 |
| 17 Oct 2026, 09:27 | 43,324 | -55 |
| 16 Oct 2026, 11:27 | 43,379 | -102 |
| 15 Oct 2026, 12:28 | 43,481 | -58 |
| 14 Oct 2026, 13:18 | 43,539 | -149 |
| 13 Oct 2026, 00:18 | 43,688 | -331 |
| 8 Oct 2026, 11:40 | 44,019 | -487 |
| 3 Oct 2026, 22:14 | 44,506 | -767 |
| 25 Sept 2026, 02:16 | 45,273 | first reading |
Engagement
1,409 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 168 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 7.53%
- avg views ÷ 41,320 subscribers
- Avg views / post
- 3,110
- 465 posts measured
- Reaction rate
- 0.048%
- reactions ÷ views · ER floor
- Posts in window
- 465
- of 1,409 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 37 of 465 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 | 1,409 (7 August 2026 – 30 October 2026) |
| Views total | 1,446,717 |
| Reactions total | 35 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Oct 2026, 15:40 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
- ≈13,600
- Videos
- ≈2,220
- Links
- ≈238
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 31m
- Average length
- 42s
Measured directly from 215 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
188 reactions across 180 posts, in 9 distinct kinds. The most used accounts for 16.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ⚡ | 31 | 16.5% | |
| 🎉 | 24 | 12.8% | |
| ❤ | 21 | 11.2% | |
| 😁 | 21 | 11.2% | |
| 👍 | 20 | 10.6% | |
| 🥰 | 20 | 10.6% | |
| 👏 | 17 | 9.04% | |
| 🔥 | 17 | 9.04% | |
| 🤩 | 17 | 9.04% |
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 183 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 188 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 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
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#柬埔寨曝光:宝龙4期九号院主管被指涉嫌侵占钱财、强迫实名注册账号 之前宝龙4期九号院的一名主管,名叫“五谷丰登”,又叫南丰,姓蔡,福建漳浦人。 公司里的人全是买卖进来的,内部情况特别黑暗。我亲眼目睹的,就有2个人被打死。 刚被绑架到公司时,南丰就把我身上几千美元现金全部拿走,也不允许谈赔付。 其他组长佑东等人,我就不一一说了,都是南丰指使的。后来公司账号不能用了,南丰又要求我扫脸实名注册公司拉粉的账号,导致我现在什么都注册不了。 一言难尽,反正就是没有人性。在九号院里,简直就是人间地狱。 希望你看到后主动联系我。如果明天下午之前没有联系,我就直接曝光你的真实姓名和家庭住址。我也知道祸不及家人,但别逼我。
#柬埔寨新闻:金边突查疑似非法代孕活动,5名外籍女子被查 近日,柬埔寨金边市警方在森速区开展执法行动,突查一处涉嫌非法招募、人员剥削及代孕安排的公寓,现场查获5名外籍女子,其中包括1名中国籍女子和4名越南籍女子。 据金边市警方通报,此次行动由金边市警察局相关部门联合森速区行政指挥部开展,并在金边市法院副检察官协调下,对森速公寓C栋的两间房间进行检查。 警方初步调查指出,被查获的中国籍女子涉嫌负责安排及照顾与怀孕有关的事宜。执法人员同时在现场发现并扣押部分相关证据。 目前,柬埔寨有关部门已启动调查,正进一步核实涉案人员的具体角色,以及案件是否涉及非法代孕、人口贩运或其他违法犯罪行为。 案件仍在调查中,5名女子的具体涉案情况及相关法律责任尚待官方进一步确认。
#柬埔寨新闻:本地人卖黄金账户突遭冻结,称涉及暹粒网络诈骗案 一位柬埔寨本地人今天在脸书发帖称,自己好端端坐着卖黄金,银行却突然将账户冻结,并告知该账户涉及暹粒的一起网络诈骗案。 当事人表示:“我只是做开店生意的,根本分不清谁是诈骗犯、谁不是,只要有顾客来买我就卖。现在的顾客来买东西全都是转账,只有不到10%的人付现金。” 当事人还询问是否有人遇到过类似情况,并表示自己在波贝生活本就“挣一天吃一天”,如今又遇上这种事情。银行方面还要求其前往暹粒省初级法院配合处理。
#柬埔寨新闻:柴桢省巴域市突查赌场及住宅,疑涉科技型诈骗窝点 10月30日上午,柬埔寨柴桢省巴域市(Bavet City)当地执法部门联合中国国际警务人员,对当地多处赌场建筑及住宅场所展开检查。据悉,上述地点此前曾被犯罪团伙利用,作为实施科技型诈骗活动的藏身及活动场所。 行动期间,中方调查人员持续对相关诈骗窝点进行监控,并围绕涉嫌犯罪活动展开调查。
#柬埔寨曝光 今天先把她的朋友曝光出来 这些人专门骗男人的钱,还叫我老婆一起玩毒品,导致她不好好照顾我女儿。 后续我会公布更多信息,包括护照。这些人只是其中之一。我老婆小名叫精美,各位男士远离她们。精美和我有一个一岁的女儿,这样的人不照顾孩子,不值得各位去爱。马上她又要去各国骗男人的钱了。 可怜了我女儿,有这么一个妈妈,不照顾好孩子,却和这些人一起吸毒。 后续会发布她吸毒的照片。她上过柬埔寨新闻,今天发出来,就是提醒大家远离。
#柬埔寨新闻 柬埔寨与新加坡警方联手破获电邮诈骗案,成功追回1280万美元 10月29日,柬埔寨国家警察总署发布通报称,柬埔寨警方与新加坡警方合作,成功拦截一起商业电子邮件诈骗案涉及的1280万美元,并已将全部款项退还受害者。 据了解,10月26日,新加坡警方接到报案,当地一家石油公司遭遇诈骗,被诱骗向柬埔寨境内一个可疑银行账户转账1280万美元。 初步调查发现,诈骗分子利用伪造电子邮件,冒充正常业务往来中的相关人员或账户信息,诱骗该公司转账。这类诈骗被称为商业电子邮件诈骗(BEC)。 接到报案后,新加坡警方立即联系柬埔寨国家警察总署,请求协助调查。 柬埔寨警方随后通过24小时反诈骗热线工作组,与柬埔寨国家银行及相关机构展开紧急合作,成功拦截这笔资金,并将1280万美元全额退还给受害公司。 柬埔寨国家警察总署表示,此次行动体现了两国警方在打击跨国网络诈骗方面的合作成果,并对新加坡警方、柬埔寨国家银行及相关机构的配合表…
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#柬埔寨新闻:太子集团资产清算推进,中国受害者未来或可申报债权 据财新报道,随着柬埔寨太子集团实际控制人陈志落网,多地司法辖区已展开资产处置行动。 英属维京群岛(BVI)法院已针对陈志实际控制的30家BVI实体委任联合临时清算人(JPLs),以调查并保全相关资产。 清算人透露,目前在多个司法管辖区,均有代表陈志或太子集团的利益方对清算人的任命及相关行动提出控制权挑战。 清算人表示,目前尚未建立债权申报与分配流程。若后续进入正式清算程序且资金充足,将依照BVI破产法建立索赔机制。 鉴于BVI破产程序具有集体性特征,债权申报不受国籍与司法管辖区限制。未来,中国等地的电诈、网赌受害者也有望提交债权申报。
#柬埔寨新闻:西港、波贝被列为东南亚四大犯罪中心 欧盟—东盟商业理事会委托国际战略研究所(IISS)撰写的报告,将柬埔寨西港、波贝与老挝金三角、缅甸妙瓦底部分地区并列为东南亚四大犯罪中心,涉及电信诈骗、人口贩运、洗钱等跨国犯罪活动。 对此,柬埔寨发展理事会一名高级官员驳斥了这份报告,声称截至2026年4月,柬埔寨经济特区内不存在网络诈骗活动。
#柬埔寨新闻:孟加拉男子逃离诈骗园区,揭露“网络奴工”惨痛经历 近日,孟加拉男子托法伊尔揭露了自己被诱骗至柬埔寨诈骗园区的惨痛遭遇。他支付了77万塔卡中介费,原以为前往柬埔寨从事数据输入工作,却被以约2000美元的价格卖给一名中国人经营的诈骗园区。 受困的一个多月里,托法伊尔因未能完成业绩,常遭电击和断粮折磨。最终,他趁夜间停电,翻越11英尺高的围墙逃脱,并在孟加拉驻泰国大使馆的协助下,于今年6月返回孟加拉国。 柬埔寨官方数据显示,去年9月至今年9月期间,柬埔寨已遣返超过3000名孟加拉人,其中不少人为人口贩卖受害者。 非政府组织指出,中介常以高薪文职工作为诱饵招募求职者,实际上却将他们强行扣押,并逼迫其从事网络诈骗活动,形成新型“网络奴化”现象。目前,仍有上千名受害孟加拉公民滞留柬埔寨,等待救援。
Showing the 12 most recent of 1,409 posts we hold for @JPZXGFBI. 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 29 October 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨木牌|波贝情报局” (@JPZXGFBI), 41,320 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/JPZXGFBI.
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.