#印尼资讯:警方捣毁跨国人口贩运网络,23名外国人疑遭强迫从事网络诈骗 11月5日报道, 印尼莫佐克托县(Mojokerto)警方破获一起涉嫌跨国人口贩运案件,成功解救23名外国公民,其中包括菲律宾籍及台湾籍人员。警方初步调查发现,这些人员疑似遭犯罪团伙诱骗、控制,并被迫从事网络诈骗活动。 据警方调查,案件始于2026年9月29日凌晨。一名菲律宾籍女子从东爪哇省特拉瓦斯(Trawas)地区的Grand Whiz酒店房间逃出,随后向酒店工作人员求助,并请求联系菲律宾驻印尼大使馆。酒店方面接获求助后向警方报案,警方由此展开调查。 调查显示,该女子此前通过Facebook看到海外招聘信息,对方承诺安排其前往柬埔寨担任呼叫中心工作人员,月薪约1000美元。经过Telegram线上面试后,她于7月经菲律宾、新加坡转机抵达印尼。 然而,抵达印尼后,她并未按照原定计划前往柬埔寨,而是被带往东爪哇省特雷特斯(Tretes)地区的一处别墅…

Channel
金边日记|西港|暹粒|吴哥|木牌
@jinbian818
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
44,079subscribers
-17,638 since we began measuring on 25 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002004828583 |
|---|---|
| Type | Channel |
| Username | @jinbian818 |
| Description | #东南亚 #柬埔寨 #西港 #新闻 #曝光 #金边 金边日记/柬埔寨新闻频道专注于东南亚华人最新新闻资讯,生活故事分享,关注我们每天都有好心情。 爆料投稿联系:@jpz8i8 |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 25 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 44 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/jinbian818 |
Topic
International 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 37% 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 |
|---|---|---|
| 6 Nov 2026, 07:47 | 44,079 | -385 |
| 5 Nov 2026, 06:39 | 44,464 | -223 |
| 4 Nov 2026, 05:11 | 44,687 | -428 |
| 3 Nov 2026, 02:49 | 45,115 | -103 |
| 2 Nov 2026, 00:46 | 45,218 | -464 |
| 31 Oct 2026, 22:44 | 45,682 | -627 |
| 30 Oct 2026, 21:09 | 46,309 | -703 |
| 29 Oct 2026, 20:19 | 47,012 | -390 |
| 28 Oct 2026, 21:49 | 47,402 | -669 |
| 27 Oct 2026, 23:15 | 48,071 | -410 |
| 27 Oct 2026, 00:21 | 48,481 | -801 |
| 26 Oct 2026, 00:40 | 49,282 | +9,441 |
| 24 Oct 2026, 21:27 | 39,841 | -602 |
| 23 Oct 2026, 18:26 | 40,443 | -515 |
| 22 Oct 2026, 17:10 | 40,958 | -650 |
| 21 Oct 2026, 11:46 | 41,608 | -389 |
| 20 Oct 2026, 07:27 | 41,997 | -427 |
| 19 Oct 2026, 10:30 | 42,424 | -436 |
| 18 Oct 2026, 07:09 | 42,860 | +3,039 |
| 17 Oct 2026, 03:37 | 39,821 | first reading |
Engagement
1,306 posts held, back to 24 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 144 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.416%
- avg views ÷ 44,079 subscribers
- Avg views / post
- 183
- 444 posts measured
- Reaction rate
- 13.6%
- reactions ÷ views · ER floor
- Posts in window
- 446
- of 1,306 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 444 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 1,306 (24 August 2026 – 6 November 2026) |
| Views total | 81,385 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 16:09 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
- ≈31,500
- Videos
- ≈5,770
- Links
- ≈16,800
Lifetime counters from Telegram’s own channel header, read 6 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
- 5h 35m
- Average length
- 1m 14s
Measured directly from 273 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
80 reactions across 73 posts, in 5 distinct kinds. The most used accounts for 31.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 25 | 31.3% | |
| 👏 | 24 | 30.0% | |
| 🔥 | 16 | 20.0% | |
| 🤩 | 14 | 17.5% | |
| ❤ | 1 | 1.25% |
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 75 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 80 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 10 September 2026 to 6 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 446 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).
#越南资讯:警方捣毁跨省色情直播网络,4人被起诉,涉案资金流水超4.189万亿越南盾 11月5日,越南老街省公安机关通报,警方成功捣毁一个跨省色情直播犯罪网络,4名涉案人员被依法提起刑事诉讼。 经调查,该团伙自2025年以来在老街省及越南多个省市组织色情直播活动,通过境外色情网站建立直播账号,并利用Telegram、Zalo、Facebook等社交平台招募女性参与色情表演。 据悉,该团伙通过虚拟Token收费,观众可通过银行转账或购买手机充值卡获取Token,用于观看色情直播,并向主播提出指定表演要求。相关资金经过多个银行账户及电子钱包转移,随后兑换成USDT,再向参与直播的女性支付报酬。 警方查明,与该团伙相关的银行账户累计资金流水超过4.189万亿越南盾。截至目前,警方已追回16.5亿越南盾。 目前,Lý Lở Mẩy(23岁)、Lò Tả Mẩy(28岁)、Phạm Văn Trọng(37岁)以及Nguyễn …
⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️ ⚡️ ⚡️ ⚡️ ⚡️ 新会员首存赠送100%彩金(支持ABA和加密货币)例如:存款1000送1000!立即充值,彩金翻倍,赢在起跑线!速来参与! 斩获新人首存彩金,助您火力全开,胜率倍增!马上行动,让幸运一触即发! ⚡️支持 微信 支付宝 银行卡 充值 ⚡️支持 ABA USDT充值 ⚡️支持 波币 NO钱包 购宝 多种钱包充值 24小时存款存取款秒到账 铂莱娱乐城官方频道: @bolai 铂莱娱乐城官方客服: @bolai2 铂莱娱乐城官方网址:bolai6.com ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ 线上娱乐就认准 - 铂莱娱乐城 👍👍👍👍👍👍👍👍👍
#泰国资讯:近日泰国警方及时破门营救遭电诈女大学生,受害者此前已被骗近40万泰铢 泰国国家警察总署打击科技犯罪中心(PCT)发现异常转账后,协调警方展开营救,警方破门时,女大学生仍与诈骗分子保持视频通话,甚至被要求脱衣展示。 诈骗分子冒充AIS电信公司及警方人员,谎称受害者卷入4个网赌网站案件和50万泰铢洗钱案,威胁恐吓并诱导其配合调查。 骗子教唆受害者谎称韩国留学保证金,向父亲索要50万泰铢,受害者先后转账149,700泰铢,并提取25万泰铢现金交给指定人员。 家长收到银行大额取现通知后,因联系不上女儿而报警,丁登警署警方赶到宿舍,通过破门营救及沟通劝说,使受害者认清骗局,并陪同其前往警署报案。 目前,警方正追查收取25万泰铢现金的嫌疑人,监控显示该男子身材高大,身穿蓝色长袖Polo衫及西装长裤,得手后乘坐Bolt网约车离开。 ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.m…
美国再制裁太子集团:陈波妻子何雨静、庞伟志及23家柬埔寨企业上榜 美国11月5日宣布新一轮针对柬埔寨太子集团的制裁,新增4名个人及41家企业。其中23家企业注册于柬埔寨,涉及航空、保险、建筑、酒店、物流、科技等多个行业。 此次制裁名单中,两名加入柬埔寨籍的人士值得关注:一人是此前遭美国制裁的太子集团高管陈波的妻子何雨静(He Yujing),另一人此前被英国制裁,与小易支付(CoolCash)等企业有关联的庞伟志(Pang Visal)。 美国财政部指出,太子集团相关人员在此前遭到制裁后,仍通过转移资产、控制关联企业等方式,试图规避制裁并维持商业及金融活动。 美国财政部披露,自2025年10月美国首次对太子集团实施制裁以来,陈波已将其位于日本东京的一处豪宅转移至妻子何雨静(He Yujing)名下。 据了解,何雨静就是此前在网上炫富引发舆论关注的网红“静仙女”。此前舆论曾怀疑其是陈志妻子,但据《凤凰周刊》等报道,她其实…
#泰国资讯:再抓获一名涉迪拜三人命案中国籍嫌犯,偷渡湄公河落网,身上查获5公斤依托咪酯 11月4日,泰国移民警方通报,一名29岁中国籍男子万传新(Wan Chuanxin),因涉嫌参与2026年6月发生在阿联酋迪拜的三人绑架杀害案,遭阿联酋当局通缉,已于10月6日在泰国廊开府被捕。 据警方通报,抓捕行动发生在廊开府蓬披赛县。当时,万传新乘坐长尾船从老挝一侧横渡湄公河,试图绕过正规口岸进入泰国。廊开移民局联合苏拉沙蒙里特特遣部队第2107游骑兵连展开行动,最终将其截获。 执法人员在检查其随身行李时,发现一袋约5公斤的白色粉末。经警方鉴定,该物质为依托咪酯(Etomidate),属于泰国法律规定的第二类精神药物。 目前,万传新在泰国面临两项指控,分别是未经许可入境泰国,以及未经授权持有第二类精神药物。 涉嫌参与迪拜三人绑架杀害案 泰国警方进一步调查发现,万传新已被阿联酋当局列入通缉名单,涉嫌伙同他人参与2026年6月发生在…
#菲律宾资讯:启动遣返行动,逾百名中国公民拟被送返厦门 11月6日,菲律宾消息: 菲律宾方面据称启动新一轮中国籍人员遣返行动,超过100名中国公民被押送至马尼拉尼诺·阿基诺国际机场,安排搭乘中国南方航空CZ5308航班返回中国厦门。 据相关消息,这批人员主要涉及菲律宾近期两次针对涉嫌非法网络博彩及网络诈骗窝点的执法行动。 其中,10月2日,菲律宾移民局联合国家调查局及军方,在三宝颜锡布格省(Zamboanga Sibugay)展开联合突袭,共逮捕244名外国人,其中大部分为中国籍人员。现场查获约3000部手机、78台电脑显示器、笔记本电脑及大量SIM卡。 10月12日,菲律宾移民局联合军方再次展开行动,突袭奎松市库包区(Cubao)一处涉嫌非法博彩及网络诈骗活动的场所,共逮捕76名外国人,其中包括74名中国籍人员及2名缅甸籍人员。 菲律宾移民局此前表示,相关被捕人员将依法接受调查及遣返程序,获得遣返令的人员还将被列入移…
⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️全球直登 ⚡️BBIN 联合迪威娱乐城 联手打造优质娱乐平台! 新会员首存赠送100%彩金(仅限ABA和加密货币) ⚡️支持 微信 支付宝 银行卡 充值 ⚡️支持 USDT ABA 充值 ⚡️支持 波币 NO钱包 购宝 多种钱包 充值 ⚡️24小时存取不打烊 ⚡️充值提现实时到账 🧂⚽️🏀🏈⚾️🥎🎾🏐 ⚡️官方频道: @diwei4 ⚡️官方客服: @diwei2 ⚡️官方网址: diwei.app ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️
#马来西亚资讯:马六甲移民局展开联合执法,31名外籍人员被捕 11月6日消息,马来西亚马六甲州移民局于11月5日展开联合执法行动,突击检查马六甲市 Taman Melaka Raya 和 Taman Kota Laksamana 两处地点,重点清查餐饮场所及建筑工地外籍员工住宿区。 此次行动分别以 Ops Kutip 和 Ops Selera 名义展开,执法人员共检查84名外籍人员,最终逮捕31人。行动期间,部分外籍人员试图逃跑,还有人躲藏在建筑物较高楼层内。执法人员随后利用无人机协助搜寻,最终将相关人员找出并控制。 行动结束后,31名被捕人员全部被押送至 Machap Umboo 移民拘留中心,接受进一步调查及处理。 马六甲移民局将继续加强执法力度,严查非法居留及非法务工等移民违法行为,并提醒雇主遵守外籍员工聘用及准证相关规定。 ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.m…
#网友反馈:金边市警察局集合了,准备前往各个地方进行打击行动,在金边的注意了。 ———————————————— 📣欢迎加入东南亚华人交流群 🔗 https://t.me/dnyhr0 📣西港日记/柬埔寨新闻资讯 🔗:https://t.me/xigang8I8 ✅广告招商投稿澄清爆料: @jpz8i8
太子集团又一骨干落网! 昨天,新加坡警方在樟宜机场逮捕了涉嫌跨国诈骗犯罪的“太子集团”44岁新加坡籍女高管陈秀玲(Chen Xiuling,又名Karen Chen)。 陈秀玲曾担任新加坡多家注册公司的董事,据信这些公司由太子集团创始人兼主席陈志实际控制。 警方指出,陈秀玲涉嫌于2022年9月教唆下属伪造协议并向裕廊集团(JTC)提交虚假文件以获取物业租赁权。2025年10月,陈秀玲在新加坡警方对其采取行动前潜逃至柬埔寨,后被发布逮捕令。 据悉,陈秀玲将被指控教唆伪造账目及企图欺诈两项罪名。若罪名成立,各项罪名最高可判处10年监禁及罚款。 自2026年6月以来,新加坡警方已针对太子集团追加扣押及禁售14处房产、多个银行与证券账户,价值约1亿新元。目前,新加坡当局在该案件中冻结和扣押的总资产规模已累计超过7亿新元(约合5.46亿美元)。相关调查仍在进行中。 ———————————————— 📣欢迎加入东南亚华人交流群 …
#巴基斯坦资讯:卡拉奇捣毁大型诈骗呼叫中心,273人被捕,查获339台笔记本电脑 11月5日,巴基斯坦卡拉奇消息:当地国家网络犯罪调查局(NCCIA)于11月4日突袭一家名为 Voxtron Solutions 的大型呼叫中心,现场共逮捕273人,其中包括女性及未成年人。执法人员在行动中查获 339台笔记本电脑、152部手机及4台台式电脑。 据调查,该呼叫中心涉嫌冒充外国银行及金融机构工作人员,以降低贷款利率、减免债务、核实欠款等理由联系境外客户,诱骗受害者提供银行卡资料及个人敏感信息,随后通过商户账户进行未经授权的金融交易,并将资金转移。 案件方面,9名主要嫌疑人已被法院批准羁押两天,以配合进一步调查。部分女性及未成年涉案人员获准缴纳保释金后保释。 NCCIA官员还透露,卡拉奇目前可能存在约300至350家类似的可疑呼叫中心,相关部门将继续调查其运营情况及背后的诈骗网络。 目前,案件仍在进一步调查中,执法部门正对查获…
Showing the 12 most recent of 1,306 posts we hold for @jinbian818. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
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.
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.
@jianpuzhaidashijian · 44,108#1
@bx666 · 462,295#2
@jpz_888 · 12,230#3
@mupai77 · 4,117#4
@jinbianzufang888 · 1,374#5
@baogua · 614#6
@jinbian8 · 43,924#7
@xigang8I8 · 145,796#8
@DNYTJL3 · 86,023#9
@xigang6 · 4,226#10
@SB919 · 122,936#11
@jianpuzhaio · 12,323#12
@bobeifangzichuzu8 · 712#13
@wanshan26 · 529#14
@jnzs001 · 885#15
@ylstockmarket · 2,374#16
@NanHaiLG789 · 532#17
@sucai1 · 58,918#18
@BLGL888888 · 29#19
@tumblrace_bot_notification · 12,993#20
@TGCTTX · 3,599#21
@FUTEBOLWIN_COM · 2,663#22
Read from Telegram’s recommendation API, most recently 25 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.
@jinbian8 · 43,924
Telegram ranks this channel #28 of 41 here — alongside 40 others — read 25 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“金边日记|西港|暹粒|吴哥|木牌” (@jinbian818), 44,079 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/jinbian818.
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.