老挝向中方移交98名涉网络犯罪中国籍人员,查获100台手机和电脑 9月14日,老挝公安部门在万象瓦岱国际机场,将98名中国籍涉案人员移交中国警方,其中包括6名女性。 据老挝方面通报,这批人员此前在当地打击网络犯罪和网络赌博团伙的行动中被查获,执法人员同时缴获50部手机、50台台式电脑及其他涉案物品。 老挝有关部门表示,上述人员的相关行为涉嫌违反老挝法律,因此依法予以控制,并在完成相关程序后移交中国警方。 目前,这98名涉案人员已由中方接收,后续将被带回中国进一步调查,并依法处理相关案件。 _ ✅投稿澄清爆料: @k3988 🤖投稿双向机器人: @bg55bot

Channel
东南亚大事件 @U1ABC
@u1abc
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
12subscribers
+2 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004331448649 |
|---|---|
| Type | Channel |
| Username | @u1abc |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #马来西亚 #越南 🔥 全网热点吃瓜集中地 📣 网友投稿|实时曝光 |国际新闻 ⚡️ 热门新闻|突发事件|海外热点 🧭 资源导航 @dh767 🍌福利AV @yuli88 🚀 极搜联盟 @qisuso 📡 新闻交流群 @U1U66 ⚽️体育每日推荐 @kqzb8 🏃♀️体育交流群 @sportscn 本频道谢绝任何政治敏感新闻,新闻仅供参考,无刻意引导~~ ✅投稿澄清爆料: @k3988 🤖投稿双向机器人: @bg55bot |
| Created | Between 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 September 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 3 |
| On Telegram | t.me/u1abc |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Sept 2026, 05:23 | 12 | no change |
| 31 Aug 2026, 21:34 | 12 | +2 |
| 9 Aug 2026, 09:47 | 10 | first reading |
Engagement
9 posts held, back to 13 September 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 13.0%
- avg views ÷ 12 subscribers
- Avg views / post
- 1.6
- 9 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 9
- of 9 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.
| Window | Rolling 30 days · latest post in window 14 September 2026 |
|---|---|
| Posts held | 9 (13 September 2026 – 14 September 2026) |
| Views total | 14 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Sept 2026, 05:23 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
- ≈1,780
- Videos
- ≈397
- Links
- ≈3
Lifetime counters from Telegram’s own channel header, read 14 September 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
- 57s
- Average length
- 29s
Measured directly from 2 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.
Recent posts
Anthropic最新报告曝光惊人AI杀猪盘案例,案例编号GTG-15001。 一家国内App工作室,两周搭建出4700个AI女友账号,同时“崩”25000个海外老头。匹配池里面75%全部是AI,剩下25%是真人兼职。 分工模式十分狡猾:AI负责日常陪聊谈恋爱;真人兼职只负责AI容易露馅的环节,接视频通话,用来证明账号是真人。就连真人回复消息,也会依靠AI生成多条备选文案,真人挑选之后发送。 团伙一共运营20多款交友App,对外宣传是真人交友,后台全是这套AI流水线。依靠Claude模型,累计生成约236万条聊天消息。用户想要继续聊天,就需要充值买币,本质就是套上AI外壳的杀猪盘。 为了躲避平台审核,团队还专门开发UI控制器,只在苹果、谷歌商店审核的时候才激活,平时休眠。20多个App使用不同类名,规避平台相似性检测。 报告还提到一个值得关注的点:AI厂商可以查看用户和AI的全部对话,自主判断是否违规,自行开展调查、封…
#老外投稿:致印度政府、印度媒体、人权组织及所有相关部门: 我在此紧急呼吁各方关注并协助解决缅甸境内正在发生的严重人道主义危机。 据报道,目前有400多人被迫滞留于此,无法自由离开,且并非出于本人意愿。我们正遭受威胁和虐待,人身自由受到限制,生活环境也极其恶劣。我们迫切需要外界的援助与保护。 这并不是一则尘封已久的旧闻,受困人员至今仍在等待实质性的救援与行动,等待有人听见并回应他们的呼声。我们恳请印度政府、印度媒体及相关机构尽快展开调查,并采取一切可能的外交和人道主义措施,帮助可能被困在此的印度公民及其他受害者。 我们不涉及任何政治诉求,只希望能够获得人身安全、恢复自由,并有机会平安回到家园。 具体地点如下: 47R7 4P, Kanohta, Myanmar (Burma) 坐标: 17°08'26.0"N 98°15'51.4"E 17°08'26.0"N 98°15'51.4"E _ ✅投稿澄清爆料: @k39…
#柬友投稿:我想针对政府宣布临时暂停赌场内所有网络赌博业务这一决定,发表一些个人见解。 首先,我全力支持政府打击网络诈骗(Scam)团伙,并持续将这些诈骗团伙从柬埔寨彻底清除的举措。网络诈骗是一个全球性的严重隐患,不仅让无数民众受害,更损害了柬埔寨在国际上的声誉,甚至给泰国侵略者制造了挑起侵略战争的借口。 但是,我们应当将网络诈骗团伙(Scam)与网络赌博产业明确区分开来,因为这是两码事。 很多诈骗团伙(Scam)都涉及人口贩卖、非法拘禁、酷刑逼迫工作以及侵犯人权等行为。大多数员工都是被骗或被贩卖过来的,没有出入自由。这些团伙不仅让柬埔寨名誉扫地,而且对当地民众的收入毫无帮助——因为诈骗团伙的园区内自设了餐厅、超市、水疗按摩、理发店及陪侍人员等。 他们把员工拘禁在里面工作,发了工资又必须在园区内消费。简单来说,就是逼你工作、诈骗得来的钱归他们,发给你的工资又花在他们的园区里,资金全在他们内部自我循环。至于那些能够自由出入园…
#网友投稿:西港海豚附近正在大检查,有宪兵和移民局的人。物业房东通知租客收拾好物品,随时准备警察入户检查~~ _ ✅投稿澄清爆料: @k3988 🤖投稿双向机器人: @bg55bot
金边警方破获冒充警察网络诈骗案 逮捕2名柬籍嫌疑人 近日,金边警方成功破获一起盗用他人身份实施电信诈骗的案件,在检察官协调下依法逮捕2名柬籍男嫌疑人。 调查显示,二人通过手机号注册Telegram账号,非法使用金边堆谷、仙市、水净华、铁桥头、贡武、菩森芷6个区警局局长及1名警察局长官的姓名与照片伪造身份,向受害者实施诈骗。目前两名嫌疑人已被移送金边市初级法院依法审理。 金边一共14个区,你们就山寨了6个区的警察局长,盘子起的不小啊~~ _ ✅投稿澄清爆料: @k3988 🤖投稿双向机器人: @bg55bot
网友投稿:915新政,内地出入境,果然变难了。 尤其中外两本护照,从上海浦东机场出境是越来越难了。 一朋友,在浦东机场给我打电话,她是有中国和瑞典两本护照。 她的中国护照按道理来说是应该要注销掉的,因为她是后来申请到的瑞典国籍,她用中国护照买了一张从上海浦东到斯德哥尔摩的机票。 航空公司问,你中国护照上没有瑞典签证,你怎么去呢?她就拿出了她的瑞典的身份证,说你看我有瑞典身份证,我是可以进入瑞典的。 但是航空公司这次变了,说现在不行,你不能凭瑞典身份证,就证明你有去往瑞典的签证。 她反驳说以前都是这样的,以前从浦东出发或者从香港出发,都是用中国护照去买了去瑞典的机票。验瑞典签证的时候,就把瑞典的身份证拿出来给航空公司或者边检看就可以了。 但是这次浦东机场的航司人员坚持说,不能凭瑞典身份证给你办登机牌,你必须要有瑞典的签证才可以。 无奈她就拿出了瑞典护照,差点惹了祸。 航空公司说,那你两本护照的话,要不要你跟边检说…
Telegram涉诈信息呈网络化传播 澜沧江—湄公河综合执法安全合作中心对2025年6月至2026年5月期间Telegram上148个频道的61万余条涉诈信息进行分析,并发布区域电信网络诈骗风险研判。 分析显示,涉诈信息传播具有较强恢复力。即使遭遇清剿,超半数账号与链接仍能通过备用入口和频道迁移快速复苏,公开空间与私域空间跨平台连接,逐渐形成弹性传播网络。 与此同时,招聘、接码、养号、IP代理以及加密货币洗钱等要素高度集聚,呈现出从前端获客、技术支持到资金变现的完整黑灰产闭环。 报告还指出,部分低频提及地点涉及拘禁、强迫劳动等严重暴力风险,因此需要结合地点提及频率与实际危害程度进行综合研判。 报告建议,各国执法机关加强电子数据固定和动态追踪跨平台迁移,并发挥澜湄中心作用,进一步深化区域情报共享与联合打击。 _ ✅投稿澄清爆料: @k3988 🤖投稿双向机器人: @bg55bot
#网友投稿:西港嘟嘟车司机拾金不昧,遗失iPhone后失而复得! 打嘟嘟车,下车时掉了部14PM在车上。平时屁股兜里揣着一台14PM和17PM,14PM没套壳,特别滑,又不怎么使用,什么时候从兜里滑到车上都没发现。 过了一两个小时才感觉兜里少了点什么,一摸才发现手机丢了。本来还以为会像两年前那次一样,坐嘟嘟车掉了手机就找不回来了。可能平时打车基本都不要找零,在这一天有了回报吧,比如这次打车到目的地车费是7600,下车后司机主动找零给我,我没要,当给他的小费了,虽然不多,但是几乎每次打车一般会多给一点或者不要找零,当然,如果某些司机刻意不给找零,我反而会让他找零给我… 当时想着这次是通过PassApp叫的车,就联系客服看看能不能联系到司机。客服处理得很快,后来才知道,我下车后司机就发现了手机,不但主动联系平台留下联系方式,还在我下车的地方等了很久,也因此耽搁了不少单子。见我一直没回来找才离开,等联系上以后,又专门把手机给我送…
Showing the 9 most recent of 9 posts we hold for @u1abc. 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 10 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.
@Aliza66660 · 81 post皇冠代理|皇冠官网|皇冠开户|皇冠体育|皇冠足球
@huangguanai · 41 post科普|涨知识|有趣|动物|天文|地理
@kepuzhangzhishi · 1011 post诗与词 花与月
@moonlightandpoem · 441 post欧博私网 亚星私网 欧博假网 亚星假网
@ouboguanfang6 · 1471 post欧博私网 亚星私网 欧博假网 亚星假网
@ouboguanfang7 · 1651 post丝黛拉AI
@stellaAIart · 161 post欧博百家乐 亚星百家乐 利博百家乐 线上百家乐
@yaxing11j · 41 post欧博百家乐 亚星百家乐 利博百家乐 百家乐代理
@yaxing22v · 41 post魚乾
@yuqian777 · 71 post
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 14 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件 @U1ABC” (@u1abc), 12 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/u1abc.
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.