#最新消息:昨天柬埔寨波贝又抓了147人 执法人员发现133名外国人(51名女性),分属三个国籍,包括82名越南籍(26名女性)、18名中国籍(2名女性)和33名泰国籍(16名女性)。此外,还有14名柬埔寨籍(7名女性)。 查获大量涉嫌技术诈骗的物品:207部手机、3台笔记本电脑、31个CPU、97台显示器、313台一体机电脑和8张工作证。 关注导航频道➡ @dh555 投稿 @YT858

Channel
东南亚曝光头条☄️
@yz56666
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
14,507subscribers
-242 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 | -1003892189728 |
|---|---|
| Type | Channel |
| Username | @yz56666 |
| Description | 东南亚曝光头条实时更新|热点追踪|深度解读|关注我们,不错过任何一个重要消息。 广告-投稿: @YT858 亚太交流群 : @YT789 |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/yz56666 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 20:35 | 14,507 | -31 |
| 13 Aug 2026, 09:45 | 14,538 | -35 |
| 12 Aug 2026, 09:43 | 14,573 | -12 |
| 11 Aug 2026, 13:04 | 14,585 | -20 |
| 10 Aug 2026, 09:33 | 14,605 | -46 |
| 9 Aug 2026, 12:33 | 14,651 | -31 |
| 8 Aug 2026, 13:14 | 14,682 | -37 |
| 7 Aug 2026, 16:16 | 14,719 | -30 |
| 7 Aug 2026, 05:02 | 14,749 | first reading |
Engagement
23 posts held, back to 19 July 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 20 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.77%
- avg views ÷ 14,507 subscribers
- Avg views / post
- 257
- 22 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 23
- of 23 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 15 August 2026 |
|---|---|
| Posts held | 23 (19 July 2026 – 15 August 2026) |
| Views total | 5,663 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 10:01 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
- 652
- Videos
- 178
- Links
- 149
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
- Video runtime
- 6m 04s
- Average length
- 52s
Measured directly from 7 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
#网友反馈:老挝万象三江盛大门口这条街有很多当地的警察,现场各种拦车,连电瓶车都拦下来检查,大家注意安全,没有证件的,不要出来了。 关注导航频道➡ @dh555 投稿 @YT858
#网友反馈:老挝金三角特外大检查 从特内出来这条街的路上有好多警察,一路下来都有老挝警察在挨家挨户的检查,专门查中国人的护照 有很多皮卡都是拉狗推的警车,现在特外大部分的狗推都跑山里躲着去了,还没跑路的兄弟赶紧跑,现在应该还来得及 关注导航频道➡ @dh555 投稿 @YT858
#群友爆料:上面图片就是柬埔寨灿总团队的老板, 有人叫他李总,有人叫他文总;第二,缅甸护照就是康总,以前在大其力的时候叫杜总,杜万群;另外一个就是李总的表弟,叫阿森。 我也不一一去把你们的真实姓名、家庭地址发出来。我今天发在这里,希望你能看到。我的人现在还在四川宜宾看守所,叫你们拿5万U去保,你们也都不愿意出。还有盘口做了两年了,出了一亿五千万左右,给我八个点,通道费扣50%,汇率7.4。 你们一个个老板就是这样吃掉跟你们做事的人。我把你们当成老板,你们都是把我们这些人当傻逼。你们跑不掉的,我知道你们敢做这一行的也不怕,那我就看看你们挣的这么多钱有没有命花。 只是还没开始,一旦我开始弄你们的时候,一个月之内把你们三个缉拿归案。给你们三天时间,不给我处理好,把我应该分到的钱还给我,我就全面曝光你,到你家里找你的父母、兄弟姐妹,到时候会很热闹。 关注导航频道➡ @dh555 投稿 @YT858
#网友投稿:金三角特外菜市场附近,刚刚已经有公司收到消息开始搬家撤离了,一整车的人全部溜走了。 关注导航频道➡ @dh555 投稿 @YT858
#网友反馈:老挝金三角特外的平安村附近,今天早上8点就开始挨家挨户的敲门检查 没有接到任何有检查的消息,目前只检查护照信息,有护照的暂时不用慌,没有护照的就要小心点了!!! 关注导航频道➡ @dh555 投稿 @YT858
#泰国资讯:突发重大数据泄露!内政部高清公民原图外泄,总理高官人脸资料全部流入黑市 泰国频道权威晨间栏目重磅曝光一起国家级重大隐私泄露事件,泰国全境公民海量高清身份数据遭非法外流,在黑市公开流通,风险程度空前严重,引发泰国全社会恐慌。 据网络安全专业人士证实,本次外泄数据源头直指泰国内政部官方身份登记系统。与以往模糊压缩、翻拍扫描的泄露文件不同,此次流出的全部是官方存档原始高清原图,画质清晰度甚至远超民众日常手持身份证、实体证件上的印刷照片,细节完整、可直接用于各类人脸识别核验。 本次数据泄露覆盖面极其惊人,并非只涉及普通百姓。泰国现任总理、多名内阁部长、各级政府官员的官方存档人脸照片全部曝光外泄,全民无差别中招,泄露规模属于泰国近年最严重的一次公民信息安全事故。 安全机构紧急警示,这批超高清人脸原图外流,将带来两大致命风险,极易滋生大规模跨境诈骗与黑灰产犯罪: 第一,极易被用于AI换脸、3D活体伪造诈骗。 高清原始人…
#马来西亚资讯:柔佛新山Smart Pandan市场移民局突击清查行动 8月3日晚间,柔佛新山Smart Pandan市场开展移民局专项清查行动。执法人员进入市场内及周边区域开展证件核查,现场查出大量证件不齐的人员并带走处理。现场安排移民局大型转运货车,工作人员维持秩序,将相关人员集中送上车辆转运。 关注导航频道➡ @dh555 投稿 @YT858
老挝金三角“特外”8月3日展开地毯式联合大检查! 别再抱有侥幸心理!特区外围已经不是“法外之地”! 行动时间: 2026年8月3日(全天/特定时段) 行动范围: 老挝博胶省金三角经济特区外围核心卡口、周边村镇、延绵交通要道及湄公河沿岸巡逻区(简称“特外”区域)。 发起单位: 老挝公安部特种行动小组、博胶省公安厅、特区治安管理部门,协同(中老泰缅)多边联合执法驻地力量。 行动目的: 严厉打击整治跨国电信网络诈骗回流、严查偷越国(边)境、非法居留(三非人员)、无牌无证车辆及枪支弹药违禁品,肃清特区外围治安死角,巩固地区整体安全稳定。 这一次,执法部门动了真格,多管齐下,全方位围剿外围灰色地带! 斩断黑产!本次大检查四大“重灾区”曝光: 三非人员地毯式清查 特外周边的公寓、民房、临街商铺成为重点排查对象。护照过期、非法入境、没有合法劳工证(工作签)的滞留人员无处遁形!执法部门严厉打击涉诈窝点向外围转移的企图。 关注👉 …
#网友投稿:昨天缅甸木姐专座1号路,顶风作案偷着开工被举报后,警察上门检查,不知道有没有抓人。 关注导航频道➡ @dh555 投稿 @YT858
缅甸佤邦警察再次把诈骗人员移交给中国警方 佤邦(缅甸第二特区)司法委与云南警方长期建立跨境警务协作,只移交中国籍人员;缅甸籍、其他外籍人员由佤邦当地自行处置。 人员构成:大部分为大型园区清零后,大量电诈人员从果敢、妙瓦底流窜进入佤邦,租用民居搭建微型窝点,一部分是偷渡过来无证件务工人员 缅甸佤邦持续开展人员移交工作!按照中缅边境警务合作协议,抓获的中国籍涉诈人员、被困务工人员,统一在勐啊、芒卡口岸移交云南警方。 关注导航频道➡ @dh555 投稿 @YT858
#群友投稿:走过东南亚风风雨雨,终究还是算了吧 那一年,第一次踏上东南亚的土地。背着行囊,怀揣梦想,以为自己终于找到了人生的“黄金路”。那时候的自己,年轻、骄傲,总觉得自己比别人聪明几分,总觉得别人做不到的事情,自己一定可以做到。 曾经发誓:“不腰缠万贯,不衣锦还乡。”认为这里遍地机会,自己那么聪明,就一定能出人头地。 刚开始的时候,一切似乎都很顺利。有收入,有业绩,有掌声。每个月账户里的数字不断增加,心里也越来越膨胀。觉得钱原来这么容易赚,觉得人生的剧本已经写好了。 可是人性最大的弱点,就是永远不满足。赚了一千,想一万;有了一万,想十万;拥有眼前,还幻想更大的风光。 慢慢地,开始厌倦平淡,开始寻找所谓的“捷径”。直到有一天,碰上了赌博。第一次下注,用小钱赢了一笔,那一刻仿佛看见了财富密码。心里想着:“原来赚钱可以这么快。”可后来才明白——赌场赢的是你的贪念,输的是你的人生。 从第一次尝到甜头开始,就一步步陷进去。 …
Showing the 12 most recent of 23 posts we hold for @yz56666. 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.
Citation-graph rank
Citation-graph rank — 289,785 of 1,480,688entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 2 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 14 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚曝光头条☄️” (@yz56666), 14,507 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/yz56666.
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.