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全网曝光|东南亚大事件

@dnysj

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

201,297subscribers

+66,749 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001786996398
TypeChannel
Username@dnysj
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 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。 其他的东南亚大事件频道都是模仿的,一直被模仿从未被超越。 投稿、合作: @feihang
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/dnysj

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 54% 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 why it has no browse page of its own yet.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dnysj/89796 · this entry7 Aug 2026, 14:45 UTC@hyxw2/625637 Aug 2026, 14:45 UTC1.00under a minute
@dnysj/89801 · this entry7 Aug 2026, 15:07 UTC@hyxw2/625687 Aug 2026, 15:07 UTC1.00under a minute
@dnysj/89802 · this entry7 Aug 2026, 15:15 UTC@hyxw2/625697 Aug 2026, 15:15 UTC1.00under a minute
@dnysj/89804 · this entry7 Aug 2026, 15:23 UTC@hyxw2/625717 Aug 2026, 15:23 UTC1.00under a minute
@dnysj/89807 · this entry7 Aug 2026, 15:48 UTC@hyxw2/625747 Aug 2026, 15:48 UTC1.00under a minute
@dnysj/89811 · this entry7 Aug 2026, 16:45 UTC@hyxw2/625787 Aug 2026, 16:45 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@hyxw217 (6/8 hand-verifiable sample passed)1.00under a minutethis entry (170)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @dnysj — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

132,645212,162172,403.57 August 2026 — 134,548 subscribers7 August 2026 — 134,530 subscribers8 August 2026 — 134,303 subscribers9 August 2026 — 133,925 subscribers10 August 2026 — 133,626 subscribers11 August 2026 — 133,402 subscribers12 August 2026 — 133,173 subscribers14 August 2026 — 132,645 subscribers15 August 2026 — 178,766 subscribers16 August 2026 — 212,162 subscribers17 August 2026 — 211,750 subscribers18 August 2026 — 211,203 subscribers19 August 2026 — 210,161 subscribers20 August 2026 — 209,642 subscribers22 August 2026 — 209,168 subscribers23 August 2026 — 208,685 subscribers25 August 2026 — 208,343 subscribers26 August 2026 — 208,018 subscribers27 August 2026 — 207,856 subscribers28 August 2026 — 207,721 subscribers29 August 2026 — 207,507 subscribers30 August 2026 — 207,300 subscribers31 August 2026 — 207,039 subscribers1 September 2026 — 206,772 subscribers2 September 2026 — 206,495 subscribers3 September 2026 — 206,135 subscribers5 September 2026 — 201,297 subscribers201,2977 August 20265 September 2026
27 measurements spanning 29 days, net +66,749. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 120,717–224,090 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
5 Sept 2026, 20:59201,297-4,838
3 Sept 2026, 17:57206,135-360
2 Sept 2026, 08:24206,495-277
1 Sept 2026, 08:17206,772-267
31 Aug 2026, 10:38207,039-261
30 Aug 2026, 12:15207,300-207
29 Aug 2026, 08:53207,507-214
28 Aug 2026, 07:16207,721-135
27 Aug 2026, 04:55207,856-162
26 Aug 2026, 02:33208,018-325
25 Aug 2026, 01:52208,343-342
23 Aug 2026, 17:16208,685-483
22 Aug 2026, 06:07209,168-474
20 Aug 2026, 18:46209,642-519
19 Aug 2026, 22:18210,161-1,042
18 Aug 2026, 19:02211,203-547
17 Aug 2026, 20:08211,750-412
16 Aug 2026, 18:27212,162+33,396
15 Aug 2026, 08:36178,766+46,121
14 Aug 2026, 01:18132,645first reading

Engagement

841 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 64 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.70%
avg views ÷ 201,297 subscribers
Avg views / post
5,430
824 posts measured
Reaction rate
0.027%
reactions ÷ views · ER floor
Posts in window
824
of 841 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 84 of 824 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 September 2026
Posts held841 (7 August 20266 September 2026)
Views total4,471,675
Reactions total85
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Sept 2026, 14:46 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
67,500
Videos
10,700
Links
33,100

Lifetime counters from Telegram’s own channel header, read 6 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
2h 39m
Average length
50s

Measured directly from 191 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

85 reactions across 83 posts, in 37 distinct kinds. The most used accounts for 12.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🎉1112.9%
💯78.24%
👀55.88%
👍55.88%
🔥55.88%
❤‍🔥44.71%
🙈44.71%
33.53%
🆒33.53%
🌚33.53%
🌭22.35%
🎃22.35%
👏22.35%
👾22.35%
🖕22.35%
😡22.35%
🥴22.35%
🫡22.35%
11.18%
11.18%
17 further kinds1720.0%

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 84 of the 841 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 85 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 841 most recent posts we hold, published 7 August 2026 to 6 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

6 Sept 2026, 14:45 UTC122 viewsread 6 September 2026
Video

#国内新闻手机蓝牙别一直开,陌生配对可能让通话、定位和账号信息一起暴露 9月6日,手机蓝牙长期保持开启带来的安全风险再次受到关注。蓝牙并不只是连接耳机、手表和汽车的工具,一旦设备存在漏洞,又碰上恶意攻击,手机里的通话、位置和个人信息都可能暴露。 一些存在蓝牙漏洞的手机或耳机,攻击者可能在几秒内完成“静默配对”,整个过程不需要用户点击同意。连接建立后,设备麦克风可能被利用,周围对话存在被监听的风险。 蓝牙开启后还会不断向外发送信号。不法分子可以利用这些信号判断手机是否出现在附近,再结合设备信息追踪用户活动轨迹。 公共场所的陌生蓝牙配对请求同样危险。有人会借会议信号、协议认证、免费无线网络等名义诱导用户连接陌生设备,再发送照片、文件或带有恶意程序的内容。 一旦打开带有木马的文件,浏览器保存的账号密码、手机里的个人资料和其他敏感文件,都可能被窃取。 日常防范并不复杂。手机和蓝牙设备要及时更新系统和固件,公共场所不要随意接受

6 Sept 2026, 14:38 UTC≈1,970 views1 reactionsread 6 September 2026
Photo

美国全球暂停移民签证面谈!旅游留学工签不受影响 美国国务院官宣,全球所有驻外使领馆临时暂停移民签证(绿卡类)面签业务,已预约的申请人陆续收到邮件,面谈直接取消、等待另行通知,官方暂未公布恢复时间环球网。 核心要点 暂停对象:移民签证(亲属移民、EB 职业移民、绿卡抽签 DV 等,目标拿美国永久居留权) 不受影响:B1/B2 旅游商务签、F1 学生签、H1B 工作签等非移民类签证,照常受理。 美方给出理由:开展全球领事官员专项培训,强化 “公共负担” 筛查,重点甄别未来有可能依赖美国社会福利的申请人中国青年网。 政策背景补充: 1 月美国曾宣布对 75 国实施移民签证限制,8 月下旬被联邦法院裁定该国籍禁令违法予以撤销环球网。本次属于全球性业务暂停,不以国籍划分,是系统培训导致的业务停摆,并非国别禁令。 行业风险提示: 已经递交移民申请的人,排期会进一步拉长; 网传 “美国全面关闭所有签证” 属于误读,短期出境旅游、留学、工作签证

🖕1

6 Sept 2026, 14:29 UTC≈2,480 views1 reactionsread 6 September 2026
Photo

#群友爆料:此人说,她的老公和英国学校校长是十几年朋友,所以介绍我儿子去英国读书。 她代为学校帮收学费,但是说要一次性交费 USD 210200,所以本人转到她的 ABA 账户。 一直问她要缴纳学费的收据清单,她一直找借口不给。后面本人发邮件向英国学校官方核实确认:Li XUe,中文名字李雪,仅向学校缴纳 6 个月学费,剩余学费(USD 180000)被她私自留存。 本人多次联系她都不回复,也拒绝见面,刻意逃避,不想归还剩余学费。我已经去派出所报警立案了,警察去她家已经不在家了。此人还到处去吹牛逼,认识什么北京、柬埔寨、马来西亚大官员等,骗吃骗喝。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

🙈1

6 Sept 2026, 14:18 UTC≈2,570 views1 reactionsread 6 September 2026
Video

#孟加拉新闻 跨国黑产未绝迹 孟加拉国突袭破获中国籍诈骗窝点 查获近两千部苹果手机 孟加拉国警方出动力量突袭了科克斯巴扎尔市的一家豪华酒店,成功逮捕6名涉案的中国大陆及台湾地区犯罪嫌疑人。 此前警方发现该团伙涉嫌在此设立据点,从事网络赌博及跨国网络诈骗活动。 现场缴获的物资十分惊人,共查获多达1,938部iPhone手机以及近40台笔记本电脑。目前,这6名嫌疑人已被送进监狱并依法提起公诉。 虽然现场仅抓获6人,但查获的手机却多达近两千部。实际上,这是一个由中国大陆和台湾地区人员共同构成的庞大犯罪网络,涉案人员多达200至300人。 在警方实施突袭时,绝大多数人员察觉风声,迅速向海滩方向逃跑逃匿,现场只留下了大量用于批量注册虚假账号和诱骗受害者的手机设备。 目前,当地警方正动员力量对其余在逃人员展开全力追捕。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feih

😇1

6 Sept 2026, 14:14 UTC≈2,540 views1 reactionsread 6 September 2026
Video

#东南亚故事会:我漂在东南亚,后来成了一个狗推 我来东南亚的时候,根本没想过自己最后会变成一个“狗推”。那时候,我只是想赚点钱。朋友跟我说,这边工资高,包吃住,工作也不累。他说:“过来试试,干几个月就回去了。”于是我拖着一个行李箱,坐上了飞往东南亚的飞机。 刚来的那几天,我甚至觉得自己终于熬出头了。住的地方有人安排,吃饭有人管,每天还有人带着我熟悉环境。可我慢慢发现,这里根本不像他们说的那么简单。 我的工作,就是每天坐在电脑前,不停地加人、聊天、维护关系。每天面对的都是陌生头像。有的人问我是谁,有的人问我为什么一直找他,还有的人聊着聊着就消失了。我开始觉得不对劲,可是那个时候,我已经没有那么容易离开了。人在陌生的国家,身上没多少钱,也不知道该找谁。我只能告诉自己:“再干一段时间。”“赚够钱就走。”这是我当时最常说的一句话,也是后来骗了自己最久的一句话。 每天晚上下班,我都会一个人坐在窗边。窗外是东南亚的霓虹灯,街上的摩托

🆒1

6 Sept 2026, 14:09 UTC≈2,540 views1 reactionsread 6 September 2026
Video

#中国男子利用签证续签搞敲诈勒索被抓 菲律宾国家调查局(NBI)昨天通报,国调局探员日前在帕赛市设伏,当场逮捕一名中国籍男子。 该嫌疑人假称在移民局拥有“人脉”,骗取多名外籍人士护照后,以每本15万比索索要“赎金”,否则拒不归还。 警方在诱捕行动中追回22本中、越等国受害者护照。国调局局长马蒂巴格表示,将以抢劫敲诈、诈骗、严重胁迫及妨碍司法等多项罪名向法院提控该嫌犯,并提醒外籍人士切勿轻信此类“关系”中介。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

1

6 Sept 2026, 13:58 UTC≈2,450 views1 reactionsread 6 September 2026
Photo

#越南街六天快捷酒店一中国男子疑似与人发生矛盾浑身是血捂着伤口 本地热心民众已经帮他拨打120,目前人已经被拉去医院救治,具体原因不明~ 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

🤪1

6 Sept 2026, 13:52 UTC≈2,450 views1 reactionsread 6 September 2026
Photo

#网友投稿:国内被抓、国外散伙停工。 2025年1月,两个兄弟从上海来到泰国曼谷找我,我们随后在曼谷投资开了一家商超做幌子,背后主要做虚拟币换汇和资金转移。前期客户全部来自国内,不管是贪污公款还是诈骗资金,我们都收进来,再换成虚拟币或美元转到国外。 今年6月至8月,我们设在上海、江苏、广东的3个虚拟币换汇据点陆续被上海警方端掉,20多名核心成员和股东被抓,另有40多名打工人员被抓。直到现在国内仍在继续抓人,曼谷总据点也于8月5日发完工资、遣散员工后停工。 这几年我们从国内换汇并转到国外的资金流水已经超过220亿元人民币。今年2月开始,陆续有与我们存在资金往来的币安、欧易、火币等账户遭到封禁,提交资料也无法解封。我们判断这些平台一直在配合国内警方取证调查。 我们买来的不少国内实名账户,在扫脸验证后,实名人被警方带走调查,这些账户平均持有3万美元以上虚拟币资产。我自己一直没有用本人证件实名交易所,但9月这几天,使用国内朋友实

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6 Sept 2026, 13:46 UTC≈2,420 views1 reactionsread 6 September 2026
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#英国博主赴曼谷做阴茎增大手术不幸身亡 英国媒体9月5日报道: 据伦敦死因裁判法庭披露,现年43岁的英籍尼日利亚裔网红及商人伊戈·尤比里博在泰国曼谷一家诊所接受阴茎增大注射手术后不幸身亡。 尤比里博于今年3月在曼谷注射了玻尿酸及利多卡因,随后在按摩时出现胸痛并两度昏迷,送医抢救100多分钟后不治身亡。法医及尸检报告确认,其死因是由注射物进入血液引发的致命性肺栓塞。尤比里博在社交平台上拥有18.5万粉丝,以分享奢华生活闻名。涉及诊所尚未公开发表回应。 泰国擅长直接割掉小弟弟,而增大术,可能经验不足~~ 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

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6 Sept 2026, 13:39 UTC≈2,390 views1 reactionsread 6 September 2026
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#国内资讯:“国家反诈AI”正式上线 可疑电话短信直接丢进去 AI帮你判断是不是诈骗 9月6日,“国家反诈AI”App正式上线。该应用由公安部刑侦局指导、上海市公安局自主研发,主要用于帮助用户快速判断可疑电话、短信和其他涉诈场景。 用户遇到拿不准的情况,可以直接把相关内容输入App,系统会分析诈骗风险、识别常见套路,并给出对应的防范建议,还会结合真实案例,用文字、语音和视频拆解诈骗手法。 “国家反诈AI”主要有三项功能。 第一项是AI智能问答。用户直接提问,系统会判断风险、识别诈骗类型,并给出处理建议,同时推送相关案例。 第二项是反诈资讯,集中更新高发诈骗预警、新型诈骗套路和典型案例,方便用户快速了解近期常见骗局。 第三项是反诈辞典,内置反诈宣传手册和防骗指南,可以通过分类、关键词搜索和语音朗读查询相关内容。 这款应用由上海警方此前推出的“803反诈”智能体升级而来。2025年12月30日,“803反诈”智能体上线

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6 Sept 2026, 13:35 UTC≈2,330 views1 reactionsread 6 September 2026
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#越南同塔省破获“假娘家”婚骗案:5人骗取中国男子2.8亿越南盾获刑 据越南媒体报道:9月4日,越南同塔省法院对一起以婚姻为名实施诈骗的案件作出一审判决。涉案5人通过安排“假新娘”“假岳母”和“假亲属”,骗取一名中国男子共计2.8亿越南盾(约合人民币8万元)。 主犯阮氏芳草,43岁,被判处9年6个月监禁;其丈夫阮黄英武被判处8年监禁;另外3名同伙分别被判处7年监禁。 据调查,2025年4月,阮氏芳草得知一名38岁的中国男子希望在越南寻找对象结婚后,利用自己会中文的优势,化名充当婚姻介绍人,并策划实施诈骗。 她找来19岁的阮玉草冒充“新娘”,让44岁的阮氏黄莺冒充“新娘母亲”,同时安排其他同伙扮演女方亲属。为营造真实场景,团伙还花费50万越南盾租下一处民宅,并临时布置成女方“娘家”。 2025年4月7日,中国男子与“新娘”在胡志明市见面,并同意结婚。4月10日,他被带到所谓的“女方娘家”与家人见面,并当场交出7000万越

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6 Sept 2026, 13:19 UTC≈2,270 views1 reactionsread 6 September 2026
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#男子4次性侵亲生女儿被捕 9月3日,卜迭棉芷省诗梳风市一名11岁女童遭亲生父亲性侵。接到报案后,警方于9月5日抓获36岁的嫌疑人。 警方称,男子接受讯问时承认曾4次性侵未满11岁的女儿。9月6日下午,嫌疑人被移送卜迭棉芷省初级法院处理。 PS:畜生不如啊 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

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Showing the 12 most recent of 841 posts we hold for @dnysj. 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

柬埔寨大事件|曝光|新闻|西港|金边|吃瓜
@v3903 · 31,445
#1
安危事件
@anwei2 · 35,771
#2
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 144,526
#3
东南亚新闻大事件曝光
@XJ_6666 · 16,570
#4
新闻资讯
@BG_BG8 · 24,103
#5
东南亚大事件曝料
@baoliaodashijian · 13,883
#6
缅甸🧠小灵通
@miaomiaowu13 · 237
#7
东南亚新闻|斑马曝光|news
@Banma_xinwen · 94,459
#8
世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 441,635
#9
缅甸中文网频道消息⚡
@Gung8888 · 341 (as read 13 August 2026)
#10
🍉吃瓜中心&搞笑日常
@cggx33 · 57,638
#11
菲律宾 早贴新闻 @ZaoTiePH
@ZaoTiePH · 3,441
#12
每日缅甸曝光新闻
@Huitainangzhubian168 · 2,772
#13
东南亚爆料/吃瓜/悬赏
@dnyblcg · 1,543
#14
迪拜新闻|海豹资讯曝光|dubai news
@dibai_01 · 112,427
#15
东南亚大事件-聚焦时事 @TX100
@tx100 · 164,207
#16
东南亚 亚太妙瓦底大事件投稿爆料娱乐
@shijie9996 · 4,822
#17
东南亚新闻头条曝光🅥
@dny718 · 13,807
#18
菲律宾今日新闻|海豹资讯曝光|philippine news
@baoguang_123 · 114,915
#19
木姐新闻|缅甸新闻 |东南亚新闻 吃瓜群
@miandainchiguaqun · 22,936
#20
东南亚今日头条.
@mbhl1 · 2,517
#21
菲律宾新闻大事件
@flb608 · 108,226
#22
缅甸新闻大事件
@MB104 · 87,060
#23
东南亚华人情报站
@svip40 · 112,699
#24
🇰🇭柬埔寨新闻【转转娱乐赞助】
@jianpuzhaiFBI · 8,137
#25
东南亚曝光/大事件
@dny099 · 66,564
#26
黑产曝光@kanbtv东南亚曝光
@kanbtv · 19,397
#27
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 71,056
#28
缅甸《 亚太吃瓜铺 🍉 》亚太新闻 | 曝光
@wbzd999 · 67,958
#29
曝光|新闻|大事件
@TGBG8888 · 63,799
#30
全网曝光中心
@baoguang006 · 8,322
#31
东南亚大事件(热点新闻)
@dnyshijian · 9,833
#32
东南亚|亚太|每日吃瓜新闻 🍉
@yataipd · 5,543
#33
东南亚曝光社
@Aa090100 · 853
#34
华人大事件-吃瓜新闻
@baoguang821 · 58,723
#35
中文安危曝光🌸海外华人日记
@tghuarenba · 46,637
#36
赌狗社市场交流大会
@baoguang008 · 3,429
#37
全球灰产新闻大事件曝光吃瓜
@junzhang02 · 65,093
#38
柬埔寨新闻头条
@hyxw3 · 75,081
#39
东南亚头条资讯
@dongnanyatoutiaozixun1 · 976
#40
缅甸新闻|华人资讯曝光|myanmar news
@miandianhuarenzixun · 76,178
#41
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,181
#42
越南新闻大事件
@VN704 · 61,753
#43
头条事件
@mv111 · 53,875
#44
华人/每日吃瓜/新闻🍉
@haiyangjituan3344 · 26,408
#45
柬埔寨西港大事件
@BG423 · 33,673
#46
博彩黑平台曝光🔍
@uuuuuf · 257,689
#47
大象曝光|新闻
@dxdb001 · 9,940
#48
东南亚新闻大事件
@bvl222 · 56,081
#49
全球华人大事件曝光
@qqhrdsjbg · 206,773
#50
东南亚大事件|全球华人大事件(万事帮)
@miandianDS · 46,410
#51
泰国新闻大事件
@th769 · 52,403
#52
东南亚曝光(吃瓜)
@dongnanya108 · 166,094
#53
博民网官方曝光频道
@bominwang18 · 4,719
#54
缅甸今日头条 | 缅甸新闻 - 爆料 - 生活频道
@Ru_Yi88 · 155,271
#55
海外大事件(猎奇-吃瓜)
@aa144 · 35,278
#56
博彩黑台曝光
@baoguang_bc · 40,451
#57
迪拜新闻大事件
@uae918 · 92,432
#58
မောင်ချိန်ခွင်
@MaungCheangKwan2000 · 13,553
#59

Read from Telegram’s recommendation API, most recently 13 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

迪拜新闻|海豹资讯曝光|dubai news
@dibai_01 · 112,427
Telegram ranks this channel #6 of 50 here — alongside 49 others — read 15 August 2026
菲律宾今日新闻|海豹资讯曝光|philippine news
@baoguang_123 · 114,915
Telegram ranks this channel #10 of 73 here — alongside 72 others — read 14 August 2026
🍉吃瓜中心&搞笑日常
@cggx33 · 57,638
Telegram ranks this channel #12 of 72 here — alongside 71 others — read 21 August 2026
越南新闻大事件
@VN704 · 61,753
Telegram ranks this channel #17 of 65 here — alongside 64 others — read 27 August 2026
缅甸新闻大事件
@MB104 · 87,060
Telegram ranks this channel #23 of 75 here — alongside 74 others — read 16 August 2026
世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 441,635
Telegram ranks this channel #34 of 68 here — alongside 67 others — read 10 August 2026
曝光|新闻|大事件
@TGBG8888 · 63,799
Telegram ranks this channel #52 of 82 here — alongside 81 others — read 21 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“全网曝光|东南亚大事件” (@dnysj), 201,297 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/dnysj.

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.