#缅甸新闻:诈骗园区升级:全面引入 AI 技术,犯罪效率呈指数级暴增 近日,据量子位(QbitAI)及安全机构 C4ADS 披露,缅甸妙瓦底等地的“杀猪盘”与电信诈骗园区正全面借助 ChatGPT、Gemini 等 AI 工具实施跨国诈骗。 📌 核心要点总结 AI 扮演“效率倍增器”:目前诈骗分子主要利用 AI 进行多语言翻译、文本润色、话术生成及批量群聊,大幅提升作案效率。 AI 比人类更易骗取信任:研究显示,在 7 天的实验中,46% 的受害者下载了 AI 推荐的软件(人类推荐仅占 18%),AI 组的信任评分(3.78分)也高于人类组(3.31分),且 95% 的人无法辨别对方是 AI。 走向“工业化、全自动化”:不法分子通过数十个假账号同时操作,单人即可锁定上百目标。未来随着 AI 代理(AI Agents) 的普及,犯罪团伙对人工的依赖将减少,但受害者规模可能面临成倍激增的风险。 行业警示:网络犯罪、加密货币…

Channel
柬埔寨大事件(东南亚曝光)
@dnywww
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
41,948subscribers
-3,324 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 | -1001676457937 |
|---|---|
| Type | Channel |
| Username | @dnywww |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 27 August 2026 |
| Measurements held | 18 |
| Confirmed unchanged | 1 time, most recently 27 August 2026 |
| On Telegram | t.me/dnywww |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 27 Aug 2026, 04:14 | 41,948 | -28 |
| 26 Aug 2026, 06:46 | 41,976 | -117 |
| 25 Aug 2026, 04:08 | 42,093 | -210 |
| 24 Aug 2026, 00:35 | 42,303 | -272 |
| 22 Aug 2026, 06:17 | 42,575 | -336 |
| 20 Aug 2026, 21:23 | 42,911 | -57 |
| 19 Aug 2026, 21:03 | 42,968 | -63 |
| 18 Aug 2026, 20:46 | 43,031 | -112 |
| 17 Aug 2026, 19:18 | 43,143 | -281 |
| 16 Aug 2026, 20:02 | 43,424 | -446 |
| 15 Aug 2026, 08:03 | 43,870 | -167 |
| 14 Aug 2026, 01:04 | 44,037 | -316 |
| 12 Aug 2026, 16:34 | 44,353 | -123 |
| 11 Aug 2026, 14:18 | 44,476 | -84 |
| 10 Aug 2026, 14:46 | 44,560 | -265 |
| 9 Aug 2026, 12:51 | 44,825 | -229 |
| 8 Aug 2026, 12:42 | 45,054 | -218 |
| 7 Aug 2026, 14:30 | 45,272 | first reading |
Engagement
240 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 45 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.12%
- avg views ÷ 41,948 subscribers
- Avg views / post
- 3,830
- 239 posts measured
- Reaction rate
- 4.35%
- reactions ÷ views · ER floor
- Posts in window
- 240
- of 240 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 1 of 239 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 August 2026 |
|---|---|
| Posts held | 240 (7 August 2026 – 26 August 2026) |
| Views total | 914,264 |
| Reactions total | 1 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Aug 2026, 04:02 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
- 35m 46s
- Average length
- 34s
Measured directly from 63 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 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 1 of the 240 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 240 most recent posts we hold, published 7 August 2026 to 26 August 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
菩萨省5号公路半夜查电诈人员?还可以协商解决? 一名柬埔寨网友发帖称,车牌号为“金边 2CC-1919”的车主到底是什么人?竟在半夜开车拦停路过民众的车辆,盘问车上的中国人是不是搞网络诈骗的,还称如果是搞网诈的“可以私下协商解决”。 随后他竟还声称“新法律不允许外国人沿路通行”,这难道符合规定吗? 该事件发生在菩萨省5号国道沿线。网友请上级部门协助调查核实,此人究竟是执法人人员还是假警察? 🔔欢迎订阅柬埔寨大事件 ☎️ 投稿/商务:@yunxxn
#缅甸新闻:大其力“红尼乌”(ရောင်နီဦး)园区打着休闲公园幌子死灰复燃,重新经营“诈骗园区”,由中国人“三哥”带头,约有400人 8月26日,据实地调查了解,在掸邦东部大其力市的“红尼乌”(ရောင်နီဦး)园区内,各方打着“休闲公园项目”的招牌作掩护,在各个角落重新开设并运营电信诈骗(网赌电诈)业务,同时还向曼德勒市走私贩运DU品。 当检查组进入园区时,也只是敷衍了事地例行检查,根本不会对真正从事电诈的建筑物进行检查便径直离开。 🔔欢迎订阅柬埔寨大事件 ☎️ 投稿/商务:@yunxxn
#网友反馈:西港OB5永隆酒店隔壁那条路、两边路都封死了、到处有宪兵站岗巡逻 、大约有30个宪兵左右 🔔欢迎订阅柬埔寨大事件 ☎️ 投稿/商务:@yunxxn
#马来西亚新闻:移民局突袭巴生圣淘沙餐厅,多名外籍人员被带走🚓 马来西亚移民局在巴生圣淘沙(Sentosa, Klang)的 Kim Chay 餐厅(Restoran Kim Chay)展开突击检查。 8月26日下午执法人员已带走部分外籍人员接受检查。 提醒在马的外籍人士,外出务必随身携带有效护照及合法居留、工作证件,切勿抱有侥幸心理,以免因证件问题引发不必要的麻烦。 目前行动详情及被带走人员的具体情况,仍有待进一步确认。 🔔欢迎订阅柬埔寨大事件 ☎️ 投稿/商务:@yunxxn
#网友爆料:第2期来了,关于实名举报柒喜团队和他的幕后几个老板。 公司人员架构:三个幕后老板,江苏商会会长(大三、小三等等)。柒喜是台前的老板,三个总监分别为:一个精聊总监(小凯);一个互转币总监(老嫖);一个台湾空降总监(啊文)。 你们的护照信息、真实名字我就不写了。还有柒喜老婆,住在金边的一个公寓里,也是实名登记入住。柒喜使用的 ABA 账户也是实名开卡。 柒喜团队每年的诈骗金额不低于1000万美元。团队最开始在金边的幸运园区,后来被冲,搬到了拜林新园区。中间又搬到了西港的航空楼,后面又回到了拜林。 在拜林期间,有一次被抓了100多人。后来他选择性地把有用的人花钱捞了出来(因为整理护照资料的人就是我,他给我的名单)。没有出来的人,被遣送回国。 当时他答应被遣送的人,每个月可以领取生活费。但据我了解,生活费只发了两个月,只是为了暂时安抚家人的情绪而已。 如今,该团队已经搬到东帝汶继续诈骗。希望柬埔寨大使馆或者东帝汶…
#泰国新闻 清迈身份诈骗案:包括前官员在内的20名涉案人员被捕 警方已逮捕20名涉嫌参与清迈府柴普拉坎县(Chai Prakan)非法获取外国劳工政府身份证件案的嫌疑人。 官方调查发现,在2018年至2022年期间颁发的5,044张“0开头”身份证件存在异常。这类身份证件主要发放给无国籍人士、流离失所者以及其他无户籍记录人员,用以提供官方身份证明。持证者可用其申请工作许可证并享受部分公共服务,但该证件并不赋予泰国国籍,也不自动授权就业资格。 据称,嫌疑人利用虚假地址、出具虚假证明材料,并提交不完整的指纹以逃避身份核查。调查人员发现,有23名外籍人士(22名缅甸籍和1名中国籍)虽然持有外国护照,但仍涉嫌违规获取了此类身份证件。 被捕的20名嫌疑人包括:1名前政府官员、10名涉嫌为申请人出具虚假担保的人员,以及9名外籍人士。当局目前正在调查该犯罪网络是否通过伪造户籍登记,使非法外劳在形式上变得合法化——警方将这种做法称为“洗…
#网友提醒:在巴基斯坦的兄弟,这段时间晚上开车千万注意了! 巴基斯坦警察查疯了,F区各个主干路都是查中国人的。一上来就询问你做什么工作、居住在哪里、护照、签证、驾驶证。之前可以不用理会他们,过个一二十分钟就可以走了,但现在根本不行,他们会刨根问底。 从昨天开始,现在F6、F7、F8,以及这边最熟悉的中华园超市下面,大街小巷全是FIA和警察的巡逻车,包括信号车也非常多。 善意提醒,别墅扫荡这个事情,我相信大部分在这边的兄弟都知道,明天就要开始了。对于还不知道消息的兄弟,以及还在巴基斯坦的兄弟们,一定要尽量远离办公别墅,注意安全。有命赚钱,也要有命花。 其次,大家搬东西的时候,尽量把电脑设备遮严实一点。巴基斯坦本地人很喜欢举报,有点风吹草动被本地人知道了,他们马上就会去举报,祝愿各位兄弟,平平安安。 🔔欢迎订阅柬埔寨大事件 ☎️ 投稿/商务:@yunxxn
#东南亚故事会:《7年狗推流浪记》 2019年听说柬埔寨有个赚钱的路子种菠菜一个月可以赚2-3万人民币,我这一想比在村里种玉米赚得多,我就来了 从此走上了一条无法回头的路 几年的时光喜欢的人也没能留住。睡不着的时候,一个人望着天上飞过飞机。最想念的是家里的小房子,身边的老朋友。 那些错过的人那些没来得及说出口的话,还有那些曾经以为一辈子都不会离开的人如今联系方式都没有一个 28岁,骑着踏板摩托车溜达在西港的大街小巷。还记得20岁刚出来的那年,那是一个冬天。下定决定出去闯闯,那个时候的哈尔滨市冬天,穿着棉服棉鞋 坐上了上海落地西哈努克的飞机。别人落地的时候都是半截袖大拖鞋。而我们一行人中小伙伴都是冬天的穿搭。总想去大城市闯闯 走出自己的一片天, 可后来才明白,自己的认知不够 信息差别太大,即使有很多资源也不能变现赚钱,很早带我们出来的那个人带了十几个人。他拉代理线百分之%35代理分成,我们还啊傻傻的叫人来。来了以后半年…
#老挝新闻😃:金三角特区持续清剿电诈窝点,267处诈骗场所被关闭 老挝博胶省正持续加强对金三角经济特区内网络诈骗活动的打击。金三角经济特区安全指挥部负责人Anousin Sackpaseuth上校表示,在老挝党中央及公安部部署下,当地已连续开展多轮专项行动。 据官方阶段性数据,截至目前共实施9次清查行动,累计关闭267处涉嫌从事诈骗活动的呼叫中心,并抓获来自16个国家的涉案人员。 其中,中国籍和越南籍人员已陆续被遣返回国,其他外籍人员则由老挝方面与相关国家使馆协调后安排遣返,对于在相关场所工作的老挝籍人员,当局主要采取书面警告和教育措施,随后安排其返回原籍。 去年8月起,老挝方面曾抽调约250名来自地方执法及网络安全部门的人员组成专项工作组,对特区内4个重点区域展开集中排查。 🔔欢迎订阅柬埔寨大事件 ☎️ 投稿/商务:@yunxxn
#网友吐槽:金边三号安置点,不知道是那个公司的狗推,半夜看片打飞机,直接原地开始,能不能去厕所打。 🔔欢迎订阅柬埔寨大事件 ☎️ 投稿/商务:@yunxxn
#泰国新闻:警方破获诈骗团伙:以为是“华人诈骗集团”,没想到泰国人学成归来成为盘总 8月25日——长期以来,泰国社会对网络诈骗的关注,往往集中在所谓的“华人诈骗集团”。然而,泰国警方近日侦破的一起案件,却揭开了另一面:部分泰国人曾参与境外诈骗活动,在掌握成熟的诈骗手法后,不仅继续从事诈骗,还逐渐成为团伙中的重要成员。 这起案件最初并不是从网络诈骗开始,而是警方调查一起DU品案件时,意外发现了背后的诈骗资金网络。 警方调查过程中发现,一对男女频繁携带大量现金,在曼谷多个地点之间往返,并不断通过ATM机进行现金交易。同时,两人几乎一直查看手机聊天信息,行动方式疑似受到幕后人员远程指挥。 警方进一步追查后发现,两人涉嫌充当诈骗团伙的“资金车手”,负责按照上游人员的指令提取诈骗所得,再通过不同账户进行转移。 更令人意外的是,其中一名嫌疑人此前曾前往柬埔寨西哈努克省工作,并在那里参与网络诈骗。 嫌疑人向警方供述,自己过去曾参与…
Showing the 12 most recent of 240 posts we hold for @dnywww. 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
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 27 August 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨大事件(东南亚曝光)” (@dnywww), 41,948 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/dnywww.
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.