#网友曝光 KVB/外汇黄金MT4/MT5盘,平台每个月充值赚上亿元,该发的工资你们不发,提成卡着。 想不到吧,黄总、朱总,公司2024年到今天的所有会员联系方式、家庭住址、充值记录,我都拿到了! 明天前不联系把工资和提成给我,公司所有会员数据(MT4外汇黄金交易盘会员:25,569人,MT5海外模式交易会员:72,305人)全部免费公布给同行。 我拿不到我的工资,公司也一起死!我也是刚取保出来! 现在公司分散了,柬埔寨,和缅甸都有。 ✈️免费爆料 @yingtao_7
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Channel
@dny_xinwenzixun
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
97,630subscribers
+10,335 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001913291660 |
|---|---|
| Type | Channel |
| Username | @dny_xinwenzixun |
| Description | 东南亚大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 💕投稿➕商务合作💖 : @yingtao_7 #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 62 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/dny_xinwenzixun |
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 67% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 15:10 | 97,630 | -700 |
| 7 Nov 2026, 06:38 | 98,330 | -689 |
| 6 Nov 2026, 08:49 | 99,019 | -525 |
| 5 Nov 2026, 08:17 | 99,544 | -410 |
| 4 Nov 2026, 05:19 | 99,954 | -419 |
| 3 Nov 2026, 07:45 | 100,373 | -233 |
| 2 Nov 2026, 07:48 | 100,606 | -37 |
| 1 Nov 2026, 07:01 | 100,643 | +4,047 |
| 31 Oct 2026, 08:09 | 96,596 | +2,244 |
| 30 Oct 2026, 05:27 | 94,352 | +1,350 |
| 29 Oct 2026, 01:49 | 93,002 | +3,400 |
| 28 Oct 2026, 01:27 | 89,602 | +2,939 |
| 26 Oct 2026, 22:45 | 86,663 | +1,094 |
| 26 Oct 2026, 02:08 | 85,569 | -580 |
| 25 Oct 2026, 04:06 | 86,149 | -652 |
| 24 Oct 2026, 00:27 | 86,801 | -943 |
| 22 Oct 2026, 20:47 | 87,744 | -848 |
| 21 Oct 2026, 18:29 | 88,592 | -428 |
| 20 Oct 2026, 10:50 | 89,020 | -731 |
| 19 Oct 2026, 11:34 | 89,751 | first reading |
1,575 posts held, back to 6 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 195 pages of Telegram’s post history, 20 posts per page.
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 225 of 405 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 1,575 (6 August 2026 – 8 November 2026) |
| Views total | 538,204 |
| Reactions total | 6,095 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Nov 2026, 06:36 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.
Lifetime counters from Telegram’s own channel header, read 9 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.
Measured directly from 261 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.
22,682 reactions across 815 posts, in 9 distinct kinds. The most used accounts for 20.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 4,587 | 20.2% | |
| ❤ | 4,551 | 20.1% | |
| 🔥 | 4,530 | 20.0% | |
| 👍 | 4,491 | 19.8% | |
| 😁 | 4,483 | 19.8% | |
| 👏 | 12 | 0.053% | |
| 🤩 | 10 | 0.044% | |
| 🥰 | 10 | 0.044% | |
| ⚡ | 8 | 0.035% |
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 815 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 22,682 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 9 September 2026 to 8 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.
Telegram’s own ‘edited’ marker: 7 of 405 posts held from the last 30 days (1.73%) 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).
#网友曝光 KVB/外汇黄金MT4/MT5盘,平台每个月充值赚上亿元,该发的工资你们不发,提成卡着。 想不到吧,黄总、朱总,公司2024年到今天的所有会员联系方式、家庭住址、充值记录,我都拿到了! 明天前不联系把工资和提成给我,公司所有会员数据(MT4外汇黄金交易盘会员:25,569人,MT5海外模式交易会员:72,305人)全部免费公布给同行。 我拿不到我的工资,公司也一起死!我也是刚取保出来! 现在公司分散了,柬埔寨,和缅甸都有。 ✈️免费爆料 @yingtao_7
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#马来西亚资讯:移民局公布最新数据!3万2052人涉及移民违法,累计罚款9178万令吉 11月7日,马来西亚移民局公布2026年前10个月移民执法罚款数据。从1月1日至10月31日,当局针对各类移民违法行为累计征收罚款9178万令吉,涉及32,052人。 马来西亚内政部长赛夫丁纳苏申(Saifuddin Nasution Ismail)表示,在累计罚款金额中,2459名雇主涉及5004万令吉罚款,另有29,593名非法移民涉及4174万令吉罚款。 数据显示,雇主所涉及的罚款金额已经超过总罚款的一半,反映出马来西亚当局在打击非法移民问题上,也将执法重点延伸至违规聘用外籍劳工的雇主。 部长指出,雇主有责任确保所聘用的外籍员工持有合法旅行证件及工作准证。对于违反移民法律、非法聘用外籍劳工的雇主,当局将依法采取行动。 他强调,解决非法移民问题不能仅依靠罚款,还需要持续加强执法、检查及监管工作,并呼吁民众积极举报涉嫌违反…
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#群友投稿:组团骗赔付,资金盘团队骗子! 11月6号,朋友介绍一个团队在缅甸妙瓦底镇上,说是迫切想要赚钱,被骗到妙瓦底。结果开工一个月,就被缅甸军方给扫了,老板又把他们捞出来。 出来后,说自己老板没有实力,想要离开重新找公司,有950万泰铢的赔付。我想着大哥那里需要这个团队,就联系大哥了。大哥也看好他们,就安排车去接,又是调人员,又是调车。 结果去到对方发的一个指定位置,他们却不出来,需要先把赔付给他们老板,他们才能出来。 结果他们倒打一耙,说我们是中介,只是拿茶水费,在把他们卖掉。呵呵。 其他话不需要讲太多,懂的都懂。我们这个行业,一直在缩小,希望广大同行不要被所谓的资金盘团队给骗了。我把他们18个人的视频发出来,避免同行踩坑。 他们可以全部人打视频,都会配合,说想来贵公司。 草尼玛,老子能出一千多万泰铢接你们,看得上一点茶水费吗? ✈️免费爆料 @yingtao_7
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#驻马大使姚文:创造更多共赢机遇 中马关系达历史新高度 (吉隆坡8日讯)中国驻马来西亚新任大使姚文出席马中友好协会欢迎晚宴并发言。他表示,中方将依托高质量发展与高水平开放,为马来西亚等亚太国家创造更多合作共赢机遇;在两国领导人战略引领下,当前中马关系已达到历史新高。他指出,马中关系根基在民间、动力来自人民友好,肯定马中友好协会长期在促进两国人文往来上的贡献。 马中友好协会会长拿督马吉德欢迎姚文履新,称马中关系日趋成熟,双方可持续挖掘合作空间。他提出,经贸合作固然重要,人文交流、民众相互理解同样不可或缺;要传承先辈建立的友好情谊,面向青年群体,通过学生交流、实习、奖学金、技术培训、联合科研、创业赛事、文化活动、青年领导力对话等方式,持续巩固双边友好纽带。 ✈️免费爆料 @yingtao_7
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#越南新闻 谅山省边境查获非法入境人员,警方追查偷渡接应线索 11月6日,越南谅山省传出一起非法入境案件。当地边防人员在中越边境新清地区开展检查,发现有人员通过非正规通道进入越南。 相关信息提到,3名女子从中国一侧越境后,由一名越南男子驾车接应,准备前往当地客运站,途中遭执法人员拦查。 由于3名女子无法出示合法出入境证件,边防部门对相关人员展开调查,并继续核查是否存在组织、接送他人非法越境的行为。 ✈️免费爆料 @yingtao_7
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柬埔寨遣返163名中国籍人员,涉及网络诈骗及非法务工等违法行为 柬埔寨移民总局近日通报,当局已将163名中国籍人员驱逐出境,其中包括5名女性。 据悉,这批人员涉及非法居留、非法务工、非法越境及网络诈骗等问题。此次行动由柬埔寨移民总局联合中国驻柬埔寨大使馆执行,163人随后通过德崇国际机场搭乘专机离境。 柬埔寨当局表示,未来将继续加强执法力度,严厉打击网络诈骗及跨境犯罪活动,并协助遭诈骗团伙诱骗、控制的受害者脱困及安全返国。 ✈️免费爆料 @yingtao_7
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#新加坡资讯:警方全岛展开扫黄行动!突击61处场所,195人被捕,冻结逾60万新元银行资金 新加坡警方11月8日发布通报称,刑事侦查局专案小组在七个警署的支援下,于9月14日至10月30日期间展开大规模联合执法行动,对全岛61处涉嫌涉及卖淫及相关违法活动的场所进行突击检查。 此次行动涉及按摩院、公共娱乐场所、美容院、酒店及住宅单位,共有195人被捕,其中包括187名女子和8名男子,年龄介于18岁至63岁。 警方在行动中查获多部手机、电脑及涉及卖淫活动的相关物品,并起获超过15万新元现金。此外,当局还冻结了存有超过60万新元资金的银行账户。 警方透露,被捕人员中包括一名41岁新加坡籍男子,他涉嫌利用远程通讯服务协助安排卖淫活动,已于10月23日被控上法庭。目前,其余被捕人员仍在接受调查。 根据新加坡《妇女宪章》相关规定,利用与新加坡有关联的远程通讯服务,安排女性在当地提供有偿性服务,一旦罪成,最高可被判处5年监禁…
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#马来西亚资讯:多地发布雷暴及强降雨预警,12州及多个联邦直辖区受影响! 11月8日,马来西亚气象局(MetMalaysia)发布最新短时天气警告,提醒全国多个地区即将出现雷暴、强降雨及强风天气,受影响范围涉及多个州属及联邦直辖区,部分地区的恶劣天气预计持续至当天傍晚6时。 根据气象局公布的信息,受影响地区包括雪兰莪、槟城、森美兰、马六甲、吉打、霹雳、吉兰丹、彭亨、柔佛,以及沙巴和砂拉越部分地区,同时涉及吉隆坡、布城及纳闽等联邦直辖区。 气象部门提醒,雷暴天气可能伴随短时强降雨及阵风,部分地区还可能出现道路积水、交通受阻等情况。 气象局呼吁当地民众密切关注最新天气预报,雷雨期间尽量减少户外活动,驾车出行注意路面湿滑及积水,提前做好防范措施。 PS:恶劣天气,行动减少了🤣 ✈️免费爆料 @yingtao_7
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#柬埔寨诈骗集团调查 36人身份确认 新加坡警察部队已确认36名涉案人员,包括29名新加坡人和7名马来西亚人,据信与以柬埔寨金边为据点的有组织犯罪集团有关。 该集团涉嫌与至少528起诈骗案有关,损失约5300万新元。其运作的柬埔寨诈骗园区已于2025年9月9日在新加坡与柬埔寨警方联合行动中被捣毁。 36人中,数人已在公布照片中被标记为被捕。最近一名被捕者是27岁新加坡人林永恩,他于2026年11月6日从越南被驱逐出境,抵达新加坡时被捕,预计将被提控。 警方正与国际执法机构合作追查其余嫌疑人。知情者可联系新加坡警察部队。 ✈️免费爆料 @yingtao_7
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金边今天早上又发现一具浮尸,目前身份信息尚未确认,还没有相关执法人员前来将其尸体捞起 背影看起来就很像中国人,有看背影能认出来的朋友吗? ✈️免费爆料 @yingtao_7
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#缅甸资讯:妙瓦底网络诈骗园区救出1名印度籍受害者,另有21名乌干达公民获救等待遣返 11月8日,缅甸克伦邦妙瓦底一处网络诈骗园区内,一名遭人口贩卖和强迫劳动的印度籍男子 Anmol Senchewry 成功获救,但因遭受殴打导致手臂骨折、头部受伤及多处伤势,目前正在印度新德里医院接受治疗。 据悉,该男子此前通过网络应聘呼叫中心工作,8月22日前往泰国后,被中介人员带至缅甸并转交诈骗团伙,期间每天被迫工作17至18小时,护照和SIM卡遭扣押,团伙还向其索要60万印度卢比赎金。 在家属向印度议员及外交部门求助后,印度驻缅甸使馆与缅甸相关部门展开协调,最终成功营救该男子,并经泰国转送回印度,于10月29日抵达新德里。 与此同时,乌干达政府宣布,已成功营救21名在缅甸网络诈骗园区遭人口贩卖和强迫劳动的乌干达公民,目前正与缅甸方面进行最后阶段的协调,计划于下周安排他们从仰光启程回国。 乌干达政府表示,受害者大多是被高薪工…
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Showing the 12 most recent of 1,575 posts we hold for @dny_xinwenzixun. 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.
We recorded 6 posts on @dny_xinwenzixun as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚曝光|柬埔寨西港|缅甸新闻” (@dny_xinwenzixun), 97,630 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/dny_xinwenzixun.
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.