🌻东莞公安捣毁洗钱通道犯罪团伙 斩断非法资金链条!东莞公安重拳出击,成功打掉一个涉嫌搭建非法“洗钱”通道的犯罪团伙。不法分子暗中建立非法资金流转渠道,为违法犯罪活动提供资金转移通道,严重扰乱金融秩序,也对社会安全造成影响。 面对这一非法犯罪网络,警方迅速展开精准打击,一举捣毁相关犯罪团伙,并依法开展案件侦办及后续追查工作,全力斩断非法资金链条,严厉打击此类违法犯罪行为。 需要提醒的是,任何为非法活动提供资金通道,或者协助转移、洗白赃款的行为,都可能触犯法律,并将依法受到严厉惩处。 提醒大家:务必远离非法资金往来,不参与、不协助转账跑分,共同守护自身财产安全与法律安全。 ——————————————— ⚡️ 投稿爆料

Channel
新视界新闻| 东南亚大事件
@NVNGnews
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
26,029subscribers
-1,749 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002634468686 |
|---|---|
| Type | Channel |
| Username | @NVNGnews |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 7 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 7 September 2026 |
| On Telegram | t.me/NVNGnews |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 7 Sept 2026, 12:55 | 26,029 | -511 |
| 4 Sept 2026, 17:37 | 26,540 | -96 |
| 3 Sept 2026, 06:14 | 26,636 | +38 |
| 1 Sept 2026, 23:17 | 26,598 | -155 |
| 1 Sept 2026, 00:35 | 26,753 | +18 |
| 31 Aug 2026, 01:13 | 26,735 | +6 |
| 29 Aug 2026, 23:44 | 26,729 | -67 |
| 29 Aug 2026, 01:18 | 26,796 | -186 |
| 27 Aug 2026, 23:03 | 26,982 | +45 |
| 26 Aug 2026, 23:23 | 26,937 | -87 |
| 25 Aug 2026, 20:04 | 27,024 | -43 |
| 24 Aug 2026, 17:16 | 27,067 | -479 |
| 22 Aug 2026, 23:13 | 27,546 | -232 |
| 22 Aug 2026, 08:31 | 27,778 | first reading |
Engagement
262 posts held, back to 22 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 25 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 5.39%
- avg views ÷ 26,029 subscribers
- Avg views / post
- 1,400
- 262 posts measured
- Reaction rate
- 0.131%
- reactions ÷ views · ER floor
- Posts in window
- 262
- of 262 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 14 of 262 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 | 262 (22 August 2026 – 3 September 2026) |
| Views total | 367,902 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 10:31 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 19m
- Average length
- 1m 07s
Measured directly from 71 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
14 reactions across 14 posts, in 5 distinct kinds. The most used accounts for 35.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 5 | 35.7% | |
| ❤ | 4 | 28.6% | |
| ⚡ | 3 | 21.4% | |
| 👍 | 1 | 7.14% | |
| 🤩 | 1 | 7.14% |
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 14 of the 262 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 262 most recent posts we hold, published 22 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
🌻全域打击网诈成果:冻结逾3亿美元、控制86个园区,近3万嫌疑人落网 在2025年7月至2026年8月31日期间开展的全省/全国性打击网络诈骗行动中,柬埔寨当局累计冻结超过3亿美元的涉诈银行账户资金,并将涉及29个国家和地区、共3927名被告的446起案件移交法院审理。 据打击网络诈骗委员会(CCOS)秘书处透露,执法部门期间共排查832处涉嫌诈骗地点,突袭663个相关窝点,并控制86个大型诈骗园区,目前相关园区正按照法律程序进行没收。 当局表示,目前柬埔寨境内已经没有大规模运营的诈骗园区,但部分诈骗活动正在向规模更小、更加隐蔽的地点转移,包括出租房、客栈、公寓、民宅、车辆以及咖啡馆等场所。 此次全国性打击行动期间,共有来自39个国家和地区的近3万名犯罪嫌疑人被逮捕。同时,来自38个国家和地区的2.2万多名外籍人员获救,并陆续接受遣返程序。 此外,当局还针对27家涉嫌涉及网络诈骗活动的赌场采取法律行动,其中18家赌场的经…
纯干货海外华人必看被盗U风险规避🫧你的USDT为什么会被盗?以下这些情况都可能导致资产损失: 🔑 助记词 / 私钥泄露 🎣 钓鱼网站 / 假钱包 📝 恶意授权 / Approve ✍️ 恶意签名 / Permit 🦠 木马 / 病毒 / 剪贴板劫持 📱手机 / 电脑被控 📲 交易所账号被盗 📞 SIM卡 / 短信劫持 📋 地址投毒 / 地址替换 💻 假交易 / 假TXID 🏦 假投资 / 假平台诈骗 🌉 跨链桥 / DeFi漏洞 🧩 恶意DApp / 假空投 ☁️ 云端备份 / 助记词截图泄露 🫧总结: ⚠️ 安全提醒: ❌ 不泄露助记词 ❌ 不随便授权 ❌ 不点陌生链接 ❌ 不相信所谓“客服” ✅ 转账前仔细核对地址 ✅ 大额资金做好分散与安全备份 🔐 保护好私钥,才是真正的资产安全 ——————————————— ⚡️
海外分析师已经被挂网逃,想回国,还能不能自首? 法律明确规定,即使犯罪后逃跑、被通缉或者被列为网逃人员,在此期间主动投案并如实供述自己的主要犯罪事实,仍有可能依法认定为自首。自首属于法定从宽情节,在取保候审、缓刑以及最终量刑等方面都可能产生重要影响。 网逃自首的真实量刑好处: ① 依法可能获得从轻或者减轻处罚,具体幅度需要结合案件情况及相关法律规定确定。 ② 对于犯罪情节较轻的案件,依法可能减轻甚至免除处罚。 ③ 对取保候审、缓刑以及从轻处理等方面具有一定积极作用,但最终仍由办案机关和法院根据案件事实依法认定。 一、网逃自首的两个硬性条件,缺一不可 (一)主动投案 不是在车站、卡口或者查房过程中被警方直接抓获,而是本人主动、自愿向有关机关投案。 (二)如实供述主要犯罪事实 需要如实交代案件的核心经过、个人参与情况以及主要犯罪事实。 对于案件的法律定性,当事人依法可以进行辩解,这并不当然影响自首的认定。 但需要注意…
🌻湖南76岁老人分饰3角诈骗同龄老人7万余元,法院:系累犯,判刑3年半 9月2日,湖南常德临澧县法院发布一起诈骗案件。被告人高某某为骗取钱财,以给他人介绍对象为由,虚构身份并一人分饰三角,在近两年时间里,以各种理由骗取同为七旬老人的被害人李某某人民币共计7万余元。 2023年下半年,高某某与李某某结识。在闲聊过程中,高某某得知李某某有一名年逾四十、至今尚未婚配的儿子李某,随后便产生了诈骗钱财的念头。高某某谎称自己是退休干部,并虚构自己有一名在某省公安厅工作的侄女“高萍”,声称其离异且没有孩子、个人条件优越,并以此为由假意撮合李某与“高萍”交往。 李某某对此信以为真,对这门“亲事”十分满意。为了让骗局更加真实,高某某又虚构出一名在省公安厅担任“部长”的“高加伟”,称其为“高萍”的叔叔。随后,高某某利用不同电话号码轮番出演不同角色:有时用自己的正常语气扮演媒人,与李某某进行沟通;有时则刻意压低声音,模仿“高加伟”的语调,以“省公…
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🌻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)境罪案件一审宣判,6名被告人最终全部被判处刑罚。 经查,被告人刘某某受陆某(未到案)邀约,以个人旅游为由办理护照并出境。出境后,刘某某又继续邀约王某某、敖某某出境;王某某接受邀约后,再邀约秦某某出境。同时,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6名被告人均以个人旅游为借口办理护照,并从2023年4月起先后出境。出境期间,6人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,参与从事电信网络诈骗活动。 6名被告人陆续进入老挝金三角特区天海诈骗公司后,一同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,一直持续至2024年2月。随后,6人又共同前往缅甸妙瓦底“老泰昌”诈骗园区…
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🌻柬埔寨称扫诈见效 小团伙涌现 9月2日,柬埔寨当局表示,随着国内多处大规模诈骗园区被陆续清查和拆除,诈骗活动的作案模式也开始出现变化。近期,城市地区出现了一些规模较小、更加分散的诈骗团伙,显示相关诈骗行业正在调整作案方式。 本周,金边一处疑似网络诈骗窝点遭警方突袭,现场逮捕18名孟加拉国人;西港周二展开行动,对3栋公寓进行突击检查,逮捕10名中国人,并缴获120余台电子设备,其中4人被怀疑涉及网络诈骗;国公省七星海周末的执法行动中,则拘留34名嫌疑人,同时起获数百台电子设备。 柬埔寨反诈骗委员会表示,过去一年以来,当局已经清查600多个与诈骗有关的地点,并拘留近3万名来自39个国籍的嫌疑人。自2025年7月起,当局已冻结超过3亿美元的疑似诈骗资金,并立案调查440多起相关案件。 反诈骗委员会负责人蔡西那烈表示,随着大型诈骗园区受到持续打击,诈骗集团正在转向客栈、公寓、车辆以及咖啡馆等规模更小、分布更加分散的地点开展活动。…
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🌻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击检查,一个长期从事网络网恋诈骗活动的窝点被警方成功捣毁,现场共有8名嫌疑人落网。 落网的8人年龄介于21至26岁,其中包括2名马来西亚男子、1名马来西亚女子以及5名外国男子。警方行动期间也起获多台笔记本电脑、手机及其他电子设备。 警方调查发现,这批人员长期藏身公寓内从事网恋诈骗活动,主要物色马来西亚境外受害者作为目标,通过网络展开诈骗。 9月2日,8名嫌疑人被带往古晋推事法院,法庭批准警方延扣4天,以协助进一步调查。案件目前涉及诈骗及刑事共谋,警方将继续追查该诈骗团伙的实际运作方式及相关犯罪活动。 ——————————————— ⚡️ 投稿爆料
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🌻曼谷警方解救两名大学生,揭露电诈冒充运营商和警察新套路 曼谷警方近日成功解救两名遭电信诈骗的大学生,两人分别来自玛希敦大学和曼谷皇家理工大学,合计被骗约135万泰铢。警方调查发现,两起案件手法高度相似,诈骗团伙先冒充AIS客服,再冒充警方,以受害者身份证被盗用、涉嫌违法犯罪为由实施恐吓。 诈骗分子随后通过视频通话,利用警察制服、类似警局的背景等手段增强可信度,要求受害者转账或提取现金。第一名19岁女大学生被骗约85万泰铢,其中5万泰铢通过银行转账,80万泰铢被要求提取现金,并送至指定地点。第二名大学生被骗转账499,999泰铢,警方接报后迅速冻结涉案账户并拦截资金,同时在一家酒店附近将受害者成功解救。 警方发现,诈骗团伙甚至教唆受害者欺骗父母,以“获得出国留学奖学金,需要支付签证等费用”为借口筹钱。两起案件中,最后负责接收现金的人员均具有相似特征:身穿白色上衣、黑色长裤、背着双肩包的中国籍男子,负责将现金转交给诈骗团伙。目…
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🌻122名涉网络诈骗及其他犯罪的中国公民被驱逐出柬埔寨 2026年9月2日,根据柬埔寨副首相兼内政部部长苏速卡以及内政部各级领导的高级指示,移民总局局长苏维斯纳中将责成调查和执法局,在德崇国际机场警察通道,通过专机将总计122名中国公民驱逐出柬埔寨,其中包括3名女性。 此次驱逐行动,是在执法人员调查过程中发现上述人员涉嫌非法滞留、非法劳工、无护照,以及在柬埔寨王国境内从事网络诈骗(ONLINE SCAMS)等违法犯罪活动后实施的。 此次对非法外国人的驱逐行动,是柬埔寨有关部门严格落实首相洪玛奈命令及相关法律措施的一项行动。此前,洪玛奈首相曾明确表示,柬埔寨绝不允许犯罪分子或违法人员利用柬埔寨领土作为实施诈骗活动,或从事危害地区及全球安全犯罪行为的场所。 洪玛奈首相同时要求有关当局持续开展扫荡和打击行动,对涉及违法犯罪的人员依法处理,并实施无例外驱逐,以维护柬埔寨国家荣誉与安全。 基于这一精神,在副首相兼内政部部长苏速卡的…
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🌻假冒菲律宾身份的中国籍女子被捕,涉至少5家菲律宾企业 #菲律宾新闻 据菲律宾企业记录显示,上月在尼诺伊·阿基诺国际机场被捕的中国籍女子侯雅玲(Yaling Hou),涉嫌使用伪造文件冒充菲律宾人,并与至少5家菲律宾公司存在股权或管理关系。 8月7日,侯雅玲从中国抵达菲律宾时被移民局逮捕。调查人员从她身上发现中国身份证、外国雇员许可证(AEP)、外籍登记身份证(ACR ID)等中国身份文件,同时还发现以“Ling Go Basel”为名的延迟登记出生证明、邮政ID及员工卡,这些文件均显示她是菲律宾人。 根据其工作许可,侯雅玲获准在NEPC电力建设公司担任中文现场主管。该公司总部位于菲律宾,35%的股权由中国东北电力第一工程有限公司持有,后者隶属于中国能源建设集团(CEEC)。NEPC曾参与菲律宾多个大型电力项目。 企业资料显示,侯雅玲曾以“Ling Go Basel”的名义,在至少5家公司担任高管、发起人或股东。其中,她在…
Showing the 12 most recent of 262 posts we hold for @NVNGnews. 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 1 registered channel — 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@NVNGnews named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 24 August 2026 – 24 August 2026 · confirmed gone 7 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 7 September 2026 — this entry's latest reading, not the date you are reading this.
“新视界新闻| 东南亚大事件” (@NVNGnews), 26,029 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/NVNGnews.
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.