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Channel

🌏斯里兰卡🇱🇰新闻曝光-攻略头条🔥

@sililanka007

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

81,974subscribers

+22,603 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-1003249961960
TypeChannel
Username@sililanka007
Description投稿联系 @didizhou 新闻头条 @sililanka007 会所修车 @sililankaxiuche 求职招聘 @jianpuzhai_03 吃瓜中心 @chiguazhongxin3
CreatedBetween 1 October 2025 and 31 January 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 October 2026
Measurements held53
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.me/sililanka007

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 76% 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.

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 2 other registered channels. 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
@jianpuzhai_01/339457 Aug 2026, 14:54 UTC@sililanka007/20979 · this entry7 Aug 2026, 14:54 UTC1.00under a minute
@jianpuzhai_01/339467 Aug 2026, 14:54 UTC@sililanka007/20980 · this entry7 Aug 2026, 14:55 UTC1.00under a minute
@jianpuzhai_01/339487 Aug 2026, 14:55 UTC@sililanka007/20981 · this entry7 Aug 2026, 14:55 UTC1.00under a minute
@jianpuzhai_01/339527 Aug 2026, 14:56 UTC@sililanka007/20985 · this entry7 Aug 2026, 14:56 UTC1.00under a minute
@jianpuzhai_01/339567 Aug 2026, 14:57 UTC@sililanka007/20989 · this entry7 Aug 2026, 14:57 UTC1.00under a minute
@jianpuzhai_01/339577 Aug 2026, 15:55 UTC@sililanka007/20990 · this entry7 Aug 2026, 15:55 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@jianpuzhai_019 (8/8 hand-verifiable sample passed)1.00under a minute@jianpuzhai_01 (9–0)
@dongnanyadashijian99 (8/8 hand-verifiable sample passed)1.00under a minute@dongnanyadashijian9 (9–0)

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. 18 of the 18 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 11 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 3, the earliest publisher we hold is @dongnanyadashijian9. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 8 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 2 other registered channels, 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

43,28386,78965,0367 August 2026 — 59,371 subscribers8 August 2026 — 58,676 subscribers9 August 2026 — 58,121 subscribers10 August 2026 — 57,747 subscribers11 August 2026 — 57,059 subscribers12 August 2026 — 56,751 subscribers13 August 2026 — 55,984 subscribers14 August 2026 — 55,454 subscribers16 August 2026 — 54,525 subscribers17 August 2026 — 53,666 subscribers18 August 2026 — 53,007 subscribers19 August 2026 — 52,712 subscribers20 August 2026 — 52,403 subscribers21 August 2026 — 52,108 subscribers23 August 2026 — 51,675 subscribers24 August 2026 — 51,243 subscribers26 August 2026 — 50,853 subscribers26 August 2026 — 50,677 subscribers27 August 2026 — 50,108 subscribers28 August 2026 — 49,653 subscribers29 August 2026 — 49,016 subscribers30 August 2026 — 48,614 subscribers31 August 2026 — 47,851 subscribers1 September 2026 — 47,113 subscribers2 September 2026 — 46,420 subscribers4 September 2026 — 45,604 subscribers6 September 2026 — 43,420 subscribers10 September 2026 — 43,283 subscribers12 September 2026 — 73,034 subscribers14 September 2026 — 86,289 subscribers15 September 2026 — 84,685 subscribers17 September 2026 — 83,345 subscribers28 September 2026 — 78,282 subscribers5 October 2026 — 77,127 subscribers9 October 2026 — 76,323 subscribers13 October 2026 — 75,068 subscribers14 October 2026 — 73,937 subscribers15 October 2026 — 73,123 subscribers16 October 2026 — 72,398 subscribers17 October 2026 — 71,296 subscribers18 October 2026 — 70,830 subscribers19 October 2026 — 69,840 subscribers21 October 2026 — 67,823 subscribers22 October 2026 — 66,693 subscribers23 October 2026 — 65,801 subscribers24 October 2026 — 64,981 subscribers25 October 2026 — 74,255 subscribers26 October 2026 — 86,789 subscribers27 October 2026 — 86,099 subscribers28 October 2026 — 85,175 subscribers29 October 2026 — 83,994 subscribers30 October 2026 — 83,051 subscribers31 October 2026 — 81,974 subscribers81,9747 August 202631 October 2026
53 measurements spanning 85 days, net +22,603. 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 36,757–93,315 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)SubscribersChange
31 Oct 2026, 11:4581,974-1,077
30 Oct 2026, 12:4683,051-943
29 Oct 2026, 15:4083,994-1,181
28 Oct 2026, 11:5785,175-924
27 Oct 2026, 13:4886,099-690
26 Oct 2026, 11:1986,789+12,534
25 Oct 2026, 07:4774,255+9,274
24 Oct 2026, 05:3964,981-820
23 Oct 2026, 08:5065,801-892
22 Oct 2026, 07:2866,693-1,130
21 Oct 2026, 02:2967,823-2,017
19 Oct 2026, 23:5669,840-990
18 Oct 2026, 20:4670,830-466
17 Oct 2026, 19:3671,296-1,102
16 Oct 2026, 20:2772,398-725
15 Oct 2026, 20:5673,123-814
14 Oct 2026, 21:2873,937-1,131
13 Oct 2026, 11:3975,068-1,255
9 Oct 2026, 13:2076,323-804
5 Oct 2026, 03:1877,127first reading

Engagement

1,866 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 172 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.426%
avg views ÷ 81,974 subscribers
Avg views / post
349
587 posts measured
Reaction rate
0.323%
reactions ÷ views · ER floor
Posts in window
603
of 1,866 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 2 of 587 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 31 October 2026
Posts held1,866 (7 August 2026 – 31 October 2026)
Views total205,125
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken31 Oct 2026, 22:10 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
≈17,800
Videos
≈5,370
Links
≈6,160

Lifetime counters from Telegram’s own channel header, read 31 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
6h 14m
Average length
1m 10s

Measured directly from 322 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

2 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 3 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 2 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 12 September 2026 to 31 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

31 Oct 2026, 20:43 UTC272 viewsread 31 October 2026
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开源版「豆包手机助手」来了:能在后台操作微信,不耽误你刷手机 AI 快讯,独立开发者王赞开源了一款名叫 Mika 的安卓 AI 助手,能直接操控手机上的微信、小红书等 App,帮用户整理聊天记录、发送消息。 作者演示了让 Mika 在后台翻阅微信群聊、总结聊天记录,还能给微信文件传输助手发消息。整个过程中,用户可以继续在主屏幕使用其他 App,不必把屏幕让给 AI。 PS:不久就会被诈骗集团滥用😂

31 Oct 2026, 20:42 UTC272 viewsread 31 October 2026
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山东日照警方辗转17省37市集中收网,抓获一批东南亚回流嫌疑人 近日,日照市公安局东港分局成功完成“1·21”特大跨境电信网络诈骗专案全国集中收网行动。 据悉,该案是今年日照市首个经公安部批准、开展全国集群集中收网的电信诈骗案件。侦办过程中,警方依托大数据研判手段,层层穿透跨境犯罪伪装,全面厘清涉案犯罪网络,精准锁定目标人员。 为彻底捣毁犯罪链条,专案组跨区域连续作战,足迹覆盖全国17省37市,成功抓获一批曾藏匿于境外诈骗窝点、现已回流国内的涉案人员,有力震慑了跨境电信网络诈骗违法犯罪。

31 Oct 2026, 15:16 UTC322 viewsread 31 October 2026
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2026 年加密行业损失达 92 亿美元创纪录 据 The Defiant 报道,区块链安全审计机构 CertiK 的实时数据看板显示,2026 年加密行业累计损失达到创纪录的 92 亿美元。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

31 Oct 2026, 15:15 UTC322 viewsread 31 October 2026
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币安:被盗资产补足比例升至 90%,提现仍计划周日恢复 币安发布安全事件更新称,公司此前已预留超过 63.4 亿美元公司资金覆盖被盗损失,当时覆盖比例约为 80%,目前已升至 90%。BTC、ETH、USDT、BNB、SOL、USDC、XRP、USD1、RLUSD 与 ZEC 已实现 100% 覆盖,其余相关代币将继续通过市场与场外渠道购入,直至全部代币覆盖比例达到 100%。币安表示,被盗资金的财务影响由平台承担,而非用户承担。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

31 Oct 2026, 15:15 UTC327 viewsread 31 October 2026
Video

福州警方捣毁废弃鞋厂诈骗窝点,查获1.2万余部手机 10月29日,公安部新闻传媒发布案件信息:福建福州长乐警方查处一处藏匿在废弃鞋厂内的诈骗窝点,当场抓获5名涉案嫌疑人。 警方扣押涉案手机12000余部、电脑20余台及境外手机卡5000余张。5名嫌疑人已被依法采取刑事强制措施,案件仍在进一步办理中。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

31 Oct 2026, 15:15 UTC327 viewsread 31 October 2026
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被指属于太子旗下,木牌OP园区人去楼空,中国公安部人员进场 10月30日上午,中国公安部工作组前往柴桢省巴域市(木牌),实地检查此前被查封的OP园区电诈窝点。 从现场照片来看,园区内多栋建筑已经空置,地面散落着大量文件、包装袋和生活垃圾,部分房间的天花板和装修设施遭到破坏,地上还有不少碎玻璃。工作人员在柬埔寨执法人员陪同下进入园区,查看建筑内部情况,并对散落在地上的文件进行检查和拍照。 OP小镇此前被指属于太子集团旗下园区。今年1月柬埔寨开展新一轮打击电诈行动期间,曾报道,巴域OP小镇、恒合、皇冠等园区陆续传出宪兵进入检查的消息,大批人员乘坐巴士撤离,一度造成当地交通拥堵。到1月12日清晨,OP小镇园区已经搬空,人员全部撤离。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻

31 Oct 2026, 14:27 UTC334 viewsread 31 October 2026
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#泰国资讯:清迈移民局突袭住宅,抓获中国籍诈骗通缉犯!涉案超320万元人民币,另有1名中国男子因逾期居留被捕 10月31日,泰国移民局第五分局联合清迈移民局及清迈旅游警察,在清迈府山甘烹县(San Kamphaeng)突袭检查一处住宅,当场发现5名中国籍男子,并抓获一名涉嫌在中国实施网络投资诈骗、被中国警方通缉的中国籍男子。 据泰国警方通报,此次行动由移民局第五分局侦查人员维查·卡维查警少校带队。此前,警方接获举报,称当地一处住宅内有多名中国籍人员聚集,活动情况可疑,遂展开调查并实施突击检查。 行动中,警方发现43岁的中国籍男子陈力(CHEN LI)。经核查,其在泰国已逾期滞留37天。进一步调查发现,陈力涉嫌在中国实施网络投资诈骗,涉案金额超过320万元人民币,约合1600万泰铢。 中国山东省青岛市市南区公安分局已于2026年5月1日对其签发逮捕令。目前,陈力已被泰国警方以逾期居留罪名逮捕,后续将按照相关程序办理遣返事宜…

31 Oct 2026, 14:26 UTC343 viewsread 31 October 2026
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#巴基斯坦资讯:尚格拉警方突袭非法呼叫中心,2人被捕,查获30台笔记本电脑 10月30日,巴基斯坦国家网络犯罪调查局(NCCIA)联合当地警方,在开伯尔-普什图省尚格拉县(Shangla District)Bisham镇展开突击行动,成功捣毁一处涉嫌非法运营的呼叫中心,现场逮捕2名嫌疑人。 据当地媒体《Dawn》报道,此次行动是在警方接获有关当地设立非法呼叫中心及存在可疑活动的情报后展开的。 联合执法人员突袭相关场所后,现场查获约30台笔记本电脑、耳机、3部安卓手机、3台闭路电视监控设备,以及其他电子器材。 被捕的两名嫌疑人随后被移交相关部门接受审讯,并依法展开后续调查。 目前,NCCIA已针对案件正式立案,执法部门正在进一步调查该呼叫中心的实际运营情况,以及是否涉及网络诈骗或其他网络犯罪活动。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 …

31 Oct 2026, 14:24 UTC342 viewsread 31 October 2026
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#群友投稿:搞诈骗的日子越来越不好过了。 今天,老挝三江这边一下子带走了满满两大巴车的人,查获的电脑、手机等作案工具,装了两车才拉完。这次行动力度非常大。 凌晨五点就动手了,很难得看到老挝警方这么早行动。上百名警察配同持枪的军人,直接把整个三江区域围了起来,各个路口全部封堵,基本没人能跑掉,想翻墙都难,各个点位都安排了人把守。 楼下碰到三江开元酒店的老板娘,她没戴口罩,让人从家里送东西过来配合登记核查。警方排查了三江一带多家酒店,房卡能打开的房间全部逐一清查。查到没有护照、违规同居的人员,一律带走处理。老板娘说,她店里有几个客人刚好外出办理签证、护照不在身上,即便只是外出办手续,警察也直接把人带走了,属实倒霉。 这批人大概率要先被羁押一两天,挨个审讯核查背景,确认有没有涉案。就算最后查出来没事,想要出来也得交罚款,不交罚款就没法离开。 最近在老挝的朋友都要多留心,不要随便带老挝妹子回住处过夜。万一碰上这种突击清查,警察…

31 Oct 2026, 14:23 UTC350 viewsread 31 October 2026
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#群友曝光:这是我朋友家一个亲戚 被这个畜生王木辉 卖去缅甸妙瓦底 说好的背货 一趟十万 没想到他连自己老家的人都要骗 现在敲诈家里赔付 50 万人民币 不然要让我朋友一辈子在园区里面敲键盘 目前只知道在将军山 669 主管 王木辉 福建泉州安溪官桥镇人 听说是草坂村的 已经开户了 朋友亲戚家里已经报警了 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

31 Oct 2026, 14:21 UTC348 viewsread 31 October 2026
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#国内资讯:山东日照警方辗转17省37市集中收网,抓获一批东南亚回流嫌疑人 近日,日照市公安局东港分局成功完成“1·21”特大跨境电信网络诈骗专案全国集中收网行动。 据悉,该案是今年日照市首个经公安部批准、开展全国集群集中收网的电信诈骗案件。侦办过程中,警方依托大数据研判手段,层层穿透跨境犯罪伪装,全面厘清涉案犯罪网络,精准锁定目标人员。 为彻底捣毁犯罪链条,专案组跨区域连续作战,足迹覆盖全国17省37市,成功抓获一批曾藏匿于境外诈骗窝点、现已回流国内的涉案人员,有力震慑了跨境电信网络诈骗违法犯罪。 👻😇🥰😘🔥🔥🔥🔥🔥💩✍️🍡🎈 ✅👩‍💻我要投稿 😘迪迪周: ——————————————————— 😳东南亚招聘 📑东南亚大事件 ✴️柬埔寨二手 🍉吃瓜中心 💻搭建开发

31 Oct 2026, 08:57 UTC302 viewsread 31 October 2026
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#马来西亚资讯:吉隆坡警方突袭豪华酒店顶层私人地下赌场,16人被捕,其中15名中国籍 10月31日凌晨1时50分,马来西亚吉隆坡警方展开代号为“Op Tembok”的突击行动,突袭位于安邦路(Jalan Ampang)一家豪华酒店顶层公寓内的私人地下赌场,共逮捕16名外籍人员,其中15人为中国籍。 据警方初步调查,该场所采取邀请制经营模式,主要通过熟人介绍招揽顾客,现场主要接待中国籍人士,并被改造成一处私人赌博场所。 被捕人员包括: 15名中国籍人员,其中14男、1女; 1名尼泊尔籍男子; 年龄介于26岁至50岁。 警方现场查获物品包括: 1张扑克桌及7把椅子; 2套骰子及扑克牌; 214枚赌博筹码,估值约5180令吉; 1000令吉现金; 门禁卡等相关物品。 警方表示,16名涉案人员已被扣留,以协助进一步调查。案件将依据马来西亚相关赌博及移民法律展开调查。 此次行动再次反映出马来西亚警方持续加强对非法赌博场所的执法…

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