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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

191,225subscribers

+56,677 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 live23 October 2026
Measurements held45
Confirmed unchanged1 time, most recently 23 October 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 (17–0)

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 subscribers9 September 2026 — 205,768 subscribers11 September 2026 — 205,014 subscribers13 September 2026 — 204,519 subscribers15 September 2026 — 202,921 subscribers17 September 2026 — 202,577 subscribers27 September 2026 — 201,277 subscribers4 October 2026 — 193,354 subscribers9 October 2026 — 200,509 subscribers13 October 2026 — 198,527 subscribers14 October 2026 — 197,969 subscribers15 October 2026 — 195,117 subscribers16 October 2026 — 193,933 subscribers17 October 2026 — 193,668 subscribers18 October 2026 — 193,416 subscribers19 October 2026 — 192,235 subscribers21 October 2026 — 191,710 subscribers22 October 2026 — 191,421 subscribers23 October 2026 — 191,225 subscribers191,2257 August 202623 October 2026
45 measurements spanning 77 days, net +56,677. 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 45
Measured (UTC)SubscribersChange
23 Oct 2026, 06:56191,225-196
22 Oct 2026, 05:40191,421-289
21 Oct 2026, 00:21191,710-525
19 Oct 2026, 22:56192,235-1,181
18 Oct 2026, 20:45193,416-252
17 Oct 2026, 20:06193,668-265
16 Oct 2026, 18:27193,933-1,184
15 Oct 2026, 18:19195,117-2,852
14 Oct 2026, 21:06197,969-558
13 Oct 2026, 11:19198,527-1,982
9 Oct 2026, 08:16200,509+7,155
4 Oct 2026, 20:02193,354-7,923
27 Sept 2026, 05:39201,277-1,300
17 Sept 2026, 12:57202,577-344
15 Sept 2026, 09:39202,921-1,598
13 Sept 2026, 17:38204,519-495
11 Sept 2026, 20:38205,014-754
9 Sept 2026, 06:59205,768+4,471
5 Sept 2026, 20:59201,297-4,838
3 Sept 2026, 17:57206,135first reading

Engagement

2,138 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 158 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.28%
avg views ÷ 191,225 subscribers
Avg views / post
4,370
867 posts measured
Reaction rate
0.03%
reactions ÷ views · ER floor
Posts in window
867
of 2,138 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 468 of 867 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 23 October 2026
Posts held2,138 (7 August 2026 – 23 October 2026)
Views total3,788,140
Reactions total597
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 00:27 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
≈71,500
Videos
≈12,000
Links
≈35,300

Lifetime counters from Telegram’s own channel header, read 24 October 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
5h 51m
Average length
1m 16s

Measured directly from 278 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

716 reactions across 541 posts, in 73 distinct kinds. The most used accounts for 4.33% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍314.33%
😁202.79%
😘202.79%
🥰202.79%
⚡192.65%
🕊172.37%
😢162.23%
🤓162.23%
🤮162.23%
🤩152.09%
🎉141.96%
👨‍💻131.82%
💩131.82%
😍131.82%
😱131.82%
❤121.68%
🖕121.68%
🙊121.68%
🤝121.68%
🤪121.68%
53 further kinds40055.9%

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 544 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 716 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 19 September 2026 to 23 October 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

23 Oct 2026, 15:58 UTC≈5,680 viewsread 24 October 2026
Video

#网友投稿:风是抓不住的,花也终究会凋谢。 东南亚这里的夜很长,欲望很多,真心却很贵。你以为一起熬过的夜、一起吃过的苦,就能换来一份真诚,可到最后才发现,有些人只陪你共富贵,却不愿陪你渡难关;有些承诺说得比金子还真,转身却比谁都干脆。 人总要学会和不属于自己的东西说再见 。我大概永远也学不会,赤裸裸地表达自己的需求和情感。 就像在异国他乡,明明也会累,也会怕,也渴望有人关心,却总习惯把所有情绪藏起来。嘴上说着没事,心里却盼着有人能看穿我的逞强;明明也想被偏爱,却总假装自己什么都不缺。 好比伸手去触碰一朵玫瑰。 玫瑰那么美,我却总在伸手之前犹豫:它真的属于我吗?还是我一旦伸手,就连远远欣赏它的资格都要失去? 所以我总是假装不需要,假装不在乎,假装一个人也能走完所有的路。 可心里还是会期待,有一天,有人能读懂我的沉默,看穿我的口是心非,不必我开口索取,就愿意把那朵玫瑰小心翼翼地送到我手里。 后来才懂,在东南亚这个充满诱…

23 Oct 2026, 15:56 UTC≈5,680 views1 reactionsread 24 October 2026
Photo

#国内资讯:山东男子讲述被绑5天经历,嫌疑人持枪逼其诱骗亲友赴约 10月21日,河北省保定市满城区人民检察院工作人员向红星新闻确认,山东男子王先生在菲律宾遭抢劫一案已进入审查起诉阶段,正在办理。 王先生讲述,他因陪孩子读书赴菲律宾生活,在碧瑶市一家酒店认识陈某。对方声称能低价购买抵押车,他为此支付150万菲律宾比索,后来因款项被挪用多次追讨。 2022年7月17日,陈某以还钱为由约他前往菲律宾克拉克。王先生称,次日凌晨,陈某等4人持枪闯入房间,将他捆绑、封嘴,随后通过汽车后备箱转移到另一处别墅,扣走证件并限制他与外界联系。 按照他的说法,被控制期间,银行卡和支付账户内的钱被转走,对方还借用网贷、套现信用卡,造成约70万元人民币损失。 在10月20日接受新京报记者采访时,王先生还讲述,陈某曾持枪要求他以吃饭为由,把身边的亲友约出来,企图继续绑架。他试图劝阻,表示自己已经被拿走很多钱,但在威胁下仍被迫拨打电话。 为避免亲…

🔥1

23 Oct 2026, 15:51 UTC≈5,620 viewsread 24 October 2026
Photo

#网友提问 我知道你们有些人可能会评判我,呜呜。我上个月(九月初)吃了堕胎药(米索前列醇)。 当时我还没做好准备,而且这是我的第一个孩子。堕胎很成功,我的月经在9月27日就来了。但是月经结束后,我和老公又发生了无保护性行为,而且不止一次。虽然我试图阻止他进入,但他还是坚持要这么做。月经结束后第一次无保护性行为后,我吃了紧急避孕药,之后我们又发生了无保护性行为。我不能在一周内多次服用紧急避孕药,所以就没再追究。但是这次,如果他愿意再次赐予我们孩子,我已经准备好要一个了,因为我吸取了过去的教训。 直到今天,我已经做了好几次验孕,结果都是阴性。堕胎后是不是更难再次怀孕呢?谢谢大家的解答。 ✍️ 欢迎各大媒体转发 。 ❤️ 为了方便大家转发,我们不加水印,内容不加原创. ✅ 商务/投稿请联系:@feihang

23 Oct 2026, 15:45 UTC≈5,540 viewsread 24 October 2026
Video

#执法视频:10月22日晚,菲律宾国调局(NBI)突袭了苏比克(Subic)的一处诈骗窝点,现场拘留约200名越南籍人员,并查获大量电脑、手机和文件。目前,国调局正在追捕这个窝点的幕后Boss。 #菲律宾新闻:10月23日,国调局局长马蒂巴格(Melvin Matibag)接受采访时说,这名在逃的经营者是外国人,同时具有中国和越南背景,用的是菲律宾人的名字。他说,正因如此,国调局已联系移民局协调,追查此人下落。 ✍️ 欢迎各大媒体转发 。 ❤️ 为了方便大家转发,我们不加水印,内容不加原创. ✅ 商务/投稿请联系:@feihang

23 Oct 2026, 15:39 UTC≈5,540 viewsread 24 October 2026
Photo

泰国宪法法院10月22日裁定:佘智江引渡案不违宪,引渡程序重启 泰国宪法法院10月22日作出裁决,认定将跨境网赌电诈头目佘智江引渡至中国不违反泰国宪法,搁置许久的引渡程序正式重启。 佘智江是国际刑警红色通报人员,当年在泰缅边境水沟谷打造亚太新城,以园区为载体运营网络赌博、电信诈骗平台,涉案赌客约33万人,非法获利1.5亿元。他2022年在泰国被捕,羁押三年多,此前因对方提起宪法诉讼,引渡流程暂停。 裁决生效后,泰国司法部门将按流程推进引渡移交,这名曾经主导泰缅边境大型赌诈园区的核心头目,有望被押回中国接受审判。 ✍️ 欢迎各大媒体转发 。 ❤️ 为了方便大家转发,我们不加水印,内容不加原创. ✅ 商务/投稿请联系:@feihang

23 Oct 2026, 15:36 UTC≈5,410 viewsread 24 October 2026
Video

#缅甸新闻:掸族女子疑遭控制,被塞进汽车后备箱!疑涉跨境人口贩运 近日,泰国流传的一段视频引发关注。视频显示,一名年轻女子被塞进一辆现代轿车的后备箱,现场情况令人担忧。 据称,该女子为缅甸籍掸族女子。目前,女子被关押的具体原因、事发时间及相关人员身份,尚未得到证实,具体情况仍有待进一步调查。 另有消息称,该女子疑似遭诈骗团伙控制,甚至可能被转卖至边境地区的中国籍电信诈骗团伙。 ✍️ 欢迎各大媒体转发 。 ❤️ 为了方便大家转发,我们不加水印,内容不加原创. ✅ 商务/投稿请联系:@feihang

23 Oct 2026, 15:33 UTC≈5,410 viewsread 24 October 2026
Photo

#网友爆料:被52公群杀鱼31万U OKgame担保旗下52娱乐公群杀猪盘,且担保方徇私舞弊。 本次游戏中的群规、后台设置赔率以及实际派彩完全一致,不存在结算失误,这属于正常履约行为。 通告称本次问题系“担保方技术部门确认的系统倍率异常”。既然属于平台自身的技术失误,相关损失与风险理应由平台或运营方承担,而不应转嫁给正常下注的玩家。 在处理逻辑上存在明显双标:如果玩家使用该笔资金盈利就被定义为“违规获利”并予以扣除,那么若玩家下注亏损,平台是否会退还亏损本金? 请担保方基于客观事实与行业规则重新核实并履约,给出一个合理的处理方案。 规则、赔率与赔付完全一致,不存在所谓的“系统异常” 公群主主张前提不成立: 如果实际赔付的赔率与公群主事先设定的规则不符,那确实可以说是系统显示或计算异常。 现状是完全相符: 实际上,群规、后台设置的赔率以及最终的赔付结果,三者是完全一致的。公群主是按照自己设定的规则和赔率进行的结算,…

23 Oct 2026, 15:28 UTC≈5,320 viewsread 24 October 2026
Video

#泰缅边境落弹 缅甸女子轻伤 10月23日,泰国拉查马努特遣部队与第346边防警察在达府湄索县玛万区第9村怀玛哈旺寺前及第2村戈伊码头一带的莫伊河沿岸部署巡逻和警戒兵力,对岸为缅甸妙瓦底省新尼帕村和帕萨克基地。 此前一夜,来自邻国的4枚60毫米迫击炮弹落入泰方一侧,初步造成3户民宅和2间出租房受影响,一名缅甸女子手臂轻伤。 ✍️ 欢迎各大媒体转发 。 ❤️ 为了方便大家转发,我们不加水印,内容不加原创. ✅ 商务/投稿请联系:@feihang

23 Oct 2026, 15:24 UTC≈5,290 viewsread 24 October 2026
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#菲律宾新闻:苏比克突袭涉嫌跨国诈骗窝点!约200名越南籍人员被控制,电脑、手机等设备遭查扣 据菲律宾当地媒体10月23日报道,菲律宾国家调查局(NBI)于10月22日在苏比克地区突袭一处涉嫌从事跨国网络诈骗活动的场所,现场约有200名越南籍人员被控制,执法人员同时查获电脑、手机及相关文件。 报道称,此次行动由NBI邦板牙地区办公室执行。执法人员此前经过约一个月的监视和情报调查,并依据奥隆阿波市地区审判法院第73分庭签发的搜查令,对涉事场所展开搜查。 初步调查显示,该场所疑似以企业化方式运作,实行轮班工作制度,并通过银行账户及电子钱包进行资金存取。相关诈骗活动据称涉及菲律宾、阿联酋和孟加拉国等地的受害者。 目前,执法部门正对现场人员逐一核查身份及具体情况,并调查其中是否存在人口贩运受害者,以及是否有人涉嫌参与诈骗活动。有关部门还将追查涉案资金流向,并准备针对相关组织者及资金提供者提出刑事指控。 ✍️ 欢迎各大媒体转发 。…

23 Oct 2026, 15:22 UTC≈5,290 viewsread 24 October 2026
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金边7个联合检查组突查23处工作场所,检查165名外籍劳工 金边外国劳工监察部门派出7个联合检查组,前往当地多家公司、工厂及企业开展外国劳工用工检查,共检查23处场所。 检查涉及正在工作的外籍劳工共165人,其中女性62人,来自15个不同国家。 ✍️ 欢迎各大媒体转发 。 ❤️ 为了方便大家转发,我们不加水印,内容不加原创. ✅ 商务/投稿请联系:@feihang

23 Oct 2026, 15:19 UTC≈5,290 viewsread 24 October 2026
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44天接单2800次,狂赚4亿韩元!韩国一卖淫团伙被抓了 韩国警方10月20日通报,首尔江南区一个卖淫团伙被查处。该团伙在44天内安排了2800多次交易,非法获利至少5.74亿韩元(约合43.4万美元)。 首尔江南警察署以涉嫌参与卖淫为由,将8人移送检方,包括3名经营者、1名管理人员、2名女性和2名男性。这8人均未被拘留。其中3名经营者涉嫌以营利为目的安排卖淫,最高可判处7年监禁或7000万韩元罚款。 据警方调查,该团伙将位于论岘洞和驿三洞的33间单间公寓作为作案场所,并通过网络和Telegram频道,打着“瑞典按摩”等旗号发布广告招揽客户。 为了筛选客户,经营者要求对方使用本人实名登记的手机号进行身份验证。随后,他们通过一个在同类商家间共享的数据库,核对客户信息,识别出被认为可疑的人员。 警方表示,此次行动共查处了两个团伙。较大的一个团伙在44天内安排了2800多次交易,非法获利至少5.74亿韩元。另一个团伙的交易数…

23 Oct 2026, 15:16 UTC≈5,290 viewsread 24 October 2026
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#马来西亚新闻:砂拉越古晋突袭疑似网赌诈骗窝点,8名外籍男子被捕 10月23日,马来西亚砂拉越州古晋警方展开突击行动,捣毁一处涉嫌利用虚假网络博彩游戏实施诈骗的呼叫中心,现场逮捕8名外籍男子,年龄介于19岁至38岁。 据当地媒体 DayakDaily 报道,古晋警方于当天凌晨2时47分左右,派员突袭位于 Jalan Datuk Tawi Sli 路的一处住宅。警方怀疑,该住宅被用作网络博彩诈骗呼叫中心,涉案团伙通过虚构的博彩游戏,针对周边国家的受害者实施诈骗。 行动中,警方查获电脑设备、手机及其他相关电子器材。初步调查显示,8名被捕男子涉嫌全职参与该团伙的相关运作。 警方表示,此案目前依据马来西亚《刑事法典》第420条(诈骗及不诚实诱使他人交付财物)和第120B条(刑事共谋)展开调查。 10月23日,8名嫌疑人已被带上古晋推事法庭,法庭批准警方申请,将他们延扣3天,以协助进一步调查。 案件仍在调查中,涉案人员的具体国…

Showing the 12 most recent of 2,138 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 · 44,123
#1
安危事件
@anwei2 · 35,441
#2
亚太新闻 | 缅甸新闻 | 东南亚新闻 | 爆料 | 吃瓜
@ygxw3 · 144,536
#3
东南亚新闻大事件曝光
@XJ_6666 · 41,859
#4
新闻资讯
@BG_BG8 · 38,282
#5
东南亚大事件曝料
@baoliaodashijian · 10,864
#6
缅甸🧠小灵通
@miaomiaowu13 · 234
#7
东南亚新闻|斑马曝光|news
@Banma_xinwen · 88,515
#8
🅥世界TG华人曝光吧吃瓜社🇨🇳
@BG576 · 288,213
#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 · 87,337
#11
菲律宾 早贴新闻 @ZaoTiePH
@ZaoTiePH · 3,321
#12
每日缅甸曝光新闻
@Huitainangzhubian168 · 2,654
#13
东南亚爆料/吃瓜/悬赏
@dnyblcg · 1,513
#14
迪拜新闻|海豹资讯曝光|dubai news
@dibai_01 · 173,109
#15
东南亚大事件-聚焦时事 @TX100
@tx100 · 150,722
#16
东南亚 亚太妙瓦底大事件投稿爆料娱乐
@shijie9996 · 4,034
#17
东南亚新闻头条曝光🅥
@dny718 · 11,819
#18
菲律宾今日新闻|海豹资讯曝光|philippine news
@baoguang_123 · 181,274
#19
木姐新闻|缅甸新闻 |东南亚新闻 吃瓜群
@miandainchiguaqun · 27,022
#20
东南亚今日头条.
@mbhl1 · 2,540
#21
菲律宾新闻大事件
@flb608 · 82,641
#22
缅甸新闻大事件
@MB104 · 66,273
#23
菲律宾华人事件
@svip40 · 127,340
#24
🇰🇭柬埔寨新闻【转转娱乐赞助】
@jianpuzhaiFBI · 7,044
#25
东南亚曝光/大事件
@dny099 · 141,079
#26
黑产曝光@kanbtv东南亚曝光
@kanbtv · 20,652
#27
博彩曝光【菲行者】菲律宾新闻/黑台曝光/东南亚大事件❤️❤️
@feixingzhe0 · 47,833
#28
缅甸《 亚太吃瓜铺 🍉 》亚太新闻 | 曝光
@wbzd999 · 49,852
#29
曝光|新闻|大事件
@TGBG8888 · 80,939
#30
全网曝光中心
@baoguang006 · 7,607
#31
东南亚大事件(热点新闻)
@dnyshijian · 8,995
#32
东南亚|亚太|每日吃瓜新闻 🍉
@yataipd · 5,392
#33
东南亚曝光社
@Aa090100 · 856
#34
华人大事件-吃瓜新闻
@baoguang821 · 48,554
#35
中文安危曝光🌸海外华人日记
@tghuarenba · 27,121
#36
赌狗社市场交流大会
@baoguang008 · 3,085
#37
同心出海骗子曝光频道
@junzhang02 · 32,908
#38
柬埔寨新闻头条
@hyxw3 · 63,260
#39
东南亚头条资讯
@dongnanyatoutiaozixun1 · 911
#40
缅甸新闻|华人资讯曝光|myanmar news
@miandianhuarenzixun · 72,527
#41
狗仔爆料_吃瓜爆光新闻大事件
@gouzaibaoliao · 2,067
#42
越南新闻大事件
@VN704 · 63,626
#43
头条事件
@mv111 · 50,426
#44
华人/每日吃瓜/新闻🍉
@haiyangjituan3344 · 26,515
#45
柬埔寨西港大事件
@BG423 · 30,251
#46
博彩黑平台曝光🔍
@uuuuuf · 208,772
#47
大象曝光|新闻
@dxdb001 · 5,215
#48
东南亚新闻大事件
@bvl222 · 43,904
#49
全球华人大事件曝光
@qqhrdsjbg · 168,711
#50
东南亚大事件|海外事件|吃瓜曝光|今日头条
@miandianDS · 43,438
#51
泰国新闻大事件
@th769 · 49,252
#52
东南亚曝光(吃瓜)
@dongnanya108 · 122,472
#53
博民网官方曝光频道
@bominwang18 · 4,576
#54
缅甸今日头条 | 缅甸新闻 - 爆料 - 生活频道
@Ru_Yi88 · 208,394
#55
海外大事件(猎奇-吃瓜)
@aa144 · 34,912
#56
博彩黑台曝光
@baoguang_bc · 37,402
#57
迪拜新闻大事件
@uae918 · 92,169
#58
မောင်ချိန်ခွင်
@MaungCheangKwan2000 · 13,216
#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 · 173,109
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 · 181,274
Telegram ranks this channel #10 of 73 here — alongside 72 others — read 14 August 2026
🍉吃瓜中心&搞笑日常
@cggx33 · 87,337
Telegram ranks this channel #12 of 72 here — alongside 71 others — read 21 August 2026
越南新闻大事件
@VN704 · 63,626
Telegram ranks this channel #17 of 65 here — alongside 64 others — read 27 August 2026
缅甸新闻大事件
@MB104 · 66,273
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 · 288,213
Telegram ranks this channel #34 of 68 here — alongside 67 others — read 10 August 2026
曝光|新闻|大事件
@TGBG8888 · 80,939
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 23 October 2026 — this entry's latest reading, not the date you are reading this.

“全网曝光|东南亚大事件” (@dnysj), 191,225 subscribers as measured 23 October 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.