柬埔寨遣返122名涉嫌非法居留及网络诈骗的中国公民 9月2日,根据柬埔寨内政部领导的指示,移民总局近日在德乔国际机场开展执法行动,通过专机将122名中国公民遣返回国,其中包括3名女性。 据移民总局消息人士透露,这些人员涉嫌在柬埔寨非法居留、无证工作及参与网络诈骗活动。

Channel
柬埔寨东南亚曝光大事件
@jpzgl8
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,532subscribers
+6,874 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002220142529 |
|---|---|
| Type | Channel |
| Username | @jpzgl8 |
| 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 | 3 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 3 September 2026 |
| On Telegram | t.me/jpzgl8 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Sept 2026, 20:41 | 17,532 | -202 |
| 2 Sept 2026, 11:57 | 17,734 | -106 |
| 1 Sept 2026, 11:55 | 17,840 | -142 |
| 31 Aug 2026, 10:24 | 17,982 | -264 |
| 30 Aug 2026, 08:57 | 18,246 | -139 |
| 29 Aug 2026, 06:45 | 18,385 | -100 |
| 28 Aug 2026, 09:36 | 18,485 | -7 |
| 27 Aug 2026, 07:42 | 18,492 | -46 |
| 26 Aug 2026, 09:43 | 18,538 | -85 |
| 25 Aug 2026, 07:33 | 18,623 | -166 |
| 24 Aug 2026, 07:25 | 18,789 | -78 |
| 22 Aug 2026, 15:57 | 18,867 | -220 |
| 21 Aug 2026, 06:33 | 19,087 | -30 |
| 20 Aug 2026, 03:16 | 19,117 | -49 |
| 19 Aug 2026, 02:46 | 19,166 | -416 |
| 17 Aug 2026, 23:41 | 19,582 | -285 |
| 16 Aug 2026, 20:54 | 19,867 | +10,130 |
| 13 Aug 2026, 08:35 | 9,737 | -311 |
| 12 Aug 2026, 08:23 | 10,048 | -28 |
| 11 Aug 2026, 10:58 | 10,076 | first reading |
Engagement
437 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 54 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.175%
- avg views ÷ 17,532 subscribers
- Avg views / post
- 30.7
- 437 posts measured
- Reaction rate
- 2.07%
- reactions ÷ views · ER floor
- Posts in window
- 437
- of 437 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 437 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 437 (7 August 2026 – 3 September 2026) |
| Views total | 13,396 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 09:04 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 18m
- Average length
- 40s
Measured directly from 117 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 4 of the 437 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 437 most recent posts we hold, published 7 August 2026 to 3 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.
Recent posts
#国内新闻 6人借旅游出境!辗转柬埔寨西港金贝、老挝金三角多园区、缅甸妙瓦底老泰昌园区从事电诈获刑 贵州黔南政法机关9月1日对外通报: 近日,由平塘县人民检察院提起公诉的一起诈骗罪、偷越国(边)境罪一审宣判,六名被告人全部被判处刑罚。 经查,被告人刘某某受陆某(未到案)邀约,以个人旅游为借口办理护照出境。刘某某出境后,又邀约王某某、敖某某出境;王某某接受邀约后,继续邀约秦某某出境;刘某某还通过韦某城(未到案),由韦某城邀约韦某彤、杨某某出境。 上述六名被告人均以个人旅游为借口办理护照,自2023年4月起先后出境,期间辗转柬埔寨西港金贝园区诈骗公司、老挝金三角特区天海诈骗公司等多个诈骗窝点从事电信网络诈骗活动。 六名被告人陆续进入老挝金三角特区天海诈骗公司后,一起在天海诈骗公司所在的“老缅新村”诈骗园区、“金帝诈骗园区”实施诈骗至2024年2月,之后六名被告人一同前往缅甸妙瓦底“老泰昌”诈骗园区,以虚拟币投资理财的方式实施…
#马来西亚新闻:古晋捣毁网恋诈骗窝点 8人落网专骗海外受害者 9月1日晚约11时,马来西亚砂拉越州古晋宋路一处公寓遭警方突袭,一个长期从事网络网恋诈骗的窝点被捣毁,8名嫌疑人被捕。 被捕的8人年龄介于21至26岁,包括2名马来西亚男子、1名马来西亚女子和5名外国男子。警方同时查获多台笔记本电脑、手机及其他电子设备。这批人员长期在公寓内从事网恋诈骗,主要寻找马来西亚境外受害者下手。 9月2日,8人被带往古晋推事法院,法院批准延扣4天。案件涉及诈骗及刑事共谋,警方继续调查这个诈骗团伙的具体运作情况。
🇱🇦乌多姆赛省捣毁3处涉赌诈窝点,抓获52名嫌疑人(含25名中国籍) 老挝媒体9月2日报道:8月25日至27日,乌多姆赛省公安厅联合属地县公安力量,对孟昏县、巴本县的3处窝点同步开展收网行动,抓获52名涉嫌网赌电诈的涉案人员。 涉案人员来自6个国家:中国籍25人、越南籍17人、老挝籍7人,马来西亚、缅甸、土耳其籍各1人。 现场查获台式电脑27台、笔记本电脑1台、手机21部以及3套星链(Starlink)卫星网络设备。 警方调查显示,该团伙此前在博胶省金三角经济特区活动,8月初分批转移至乌多姆赛省。部分人员从会晒乘船沿湄公河南下抵达巴本县,再转车前往洪县藏匿。 团伙在洪县纳洪村租下16间房屋,月租金约1亿基普(约合4450美元)。该团伙共有5名头目,负责人员调度、交通、住宿及生活安排,分别为中国籍陈贵、李义、李杰、钟建勇与土耳其籍陈高勇。(姓名均为音译) 窝点8月17日启用,仅8天,8月25日便被警方突击查处。 目前…
#网友提醒:西港南海例行检查、周围的兄弟注意了。
柬埔寨称扫诈见效 小团伙涌现 9月2日,柬埔寨当局称已拆除国内多处大规模诈骗园区,但小规模、分散的诈骗团伙在城市地区出现,显示行业在调整作案方式。 本周,金边一处疑似网络诈骗窝点遭突袭,逮捕18名孟加拉国人;西港周二在3栋公寓突击行动中逮捕10名中国人并缴获120余台电子设备,其中4人被怀疑参与网络诈骗;国公省七星海周末的行动中拘留34名嫌疑人并缴获数百台电子设备。 反诈骗委员会称,过去一年已清查600多个与诈骗相关地点,拘留近3万名来自39个国籍的嫌疑人;自2025年7月以来已冻结超过3亿美元诈骗资金并立案调查440多起。 反诈骗委员会负责人蔡西那烈表示,诈骗集团正转向客栈、公寓、车辆和咖啡馆等更小、更分散的作案地点。 哈佛大学访问学者、东南亚跨国犯罪专家雅各布·西姆斯指出,关闭实体园区并不等同于彻底瓦解支持产业的网络,现有证据更倾向于“扰乱与适应”而非全面摧毁。
金边公寓内一女子身亡 今天凌晨,位于金边堆谷区一公寓发生死亡事件,一名女子被人发现死在该公寓的一个房间内。 该女子死因蹊跷,事发后警方已经介入调查。不过,也有媒体报道称,女子是死于心脏病突发。
#老挝快讯:金三角特区“孟赛物业在昨天晚上23点多的时候被治安局突击包围了,抓了一伙打野的团队。 截至目前,具体行动暂未公开表态,治安局的车正在拉查获办公设备!
#缅甸新闻:缅军施压DKBA要求移交三佛塔等地 军政府正施压DKBA,要求允许进驻三佛塔、沃勒、弗鲁、敏勒班等控制区设点。7月以来双方已多次会谈 目前该地区战事激烈,三佛塔和沃勒战略高地已被KNLA联军围困近三年。军方已派约500兵力进攻,联军以游击战术反击 DKBA正就和平进程、地区安全等议题开会商讨。若DKBA拒绝,军方或采取空袭,但目前未见进一步行动
#网友投稿:这段时间,缅甸“小勐拉”又抓了300-400人,都是悄悄抓捕,我朋友在勐拉失踪了四天,我托人去警察局问才知道抓起来了,前两天人已经送回中国了。 这些被抓的都是从老挝和柬埔寨回流缅甸的,抓捕都是针对性的抓,抓完以后直接国门移交。
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#网友爆料:缅甸妙瓦底【瓦雷村度假村园区、 玉米地园区、 168园区】。园区里面大概有2000至5000人左右,大部分人员是被强压、贩卖以及诱骗过来的,还有很多管理都是国内红通人员。 园区里面全都是黑公司、黑管理,每天强迫工作16至18小时,强行剥夺员工的睡眠时间,每天没有业绩和数据就被拉到办公室几个管理轮流折磨、殴打,赔付拉满。拿不出钱的直接送兵站小黑屋,有的拿出赔付的送出园区门口,转手卖到其他园区。 这里大部分做国盘的和美国精聊,危害国人,对待员工非常的残忍,不是被折磨的伤痕累累就是被关起来,很多同胞不是手残的就是腿瘸的,公司和物业狼狈为奸,表面营造良好的工作环境,背地殴打员工、抠扣工资、倒卖人口、扣押员工。 希望中国有关部门、美国FBI以及其他相关有关部门能够关注此园区。
Showing the 12 most recent of 437 posts we hold for @jpzgl8. 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 3 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 3 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨东南亚曝光大事件” (@jpzgl8), 17,532 subscribers as measured 3 September 2026. Telegram Register, tgregister.com/channel/jpzgl8.
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.