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Channel

迪拜今日头条

@gaocaoss

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

36,057subscribers

-41,041 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-1002168945541
TypeChannel
Username@gaocaoss
Description迪拜今日头条,聚焦迪拜全境热点资讯、时政民生、商圈动态、豪门见闻、文旅干货、跨境商机与海外新鲜事。实时速报一手头条,深度解读迪拜城市发展、政策利好、房产投资、奢享生活、国际活动,打造专业、权威、全面的迪拜本土综合资讯平台,带你读懂迪拜,看遍中东繁华。 📮投稿爆料合作联系 @XLJ05
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/gaocaoss

Topic

Other / unclassifiable — 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 84% 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
@gaocaoss/19308 · this entry7 Aug 2026, 13:19 UTC@buliangzhu/143197 Aug 2026, 13:29 UTC1.0011 minutes
@gaocaoss/19309 · this entry7 Aug 2026, 13:29 UTC@buliangzhu/143207 Aug 2026, 13:29 UTC1.00under a minute
@gaocaoss/19314 · this entry7 Aug 2026, 14:09 UTC@buliangzhu/143217 Aug 2026, 14:10 UTC1.002 minutes
@gaocaoss/19321 · this entry7 Aug 2026, 14:19 UTC@buliangzhu/143227 Aug 2026, 14:31 UTC1.0013 minutes
@gaocaoss/19322 · this entry7 Aug 2026, 14:29 UTC@buliangzhu/143237 Aug 2026, 14:31 UTC1.002 minutes
@gaocaoss/19323 · this entry7 Aug 2026, 14:29 UTC@buliangzhu/143247 Aug 2026, 14:31 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@buliangzhu9 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (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. 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 16 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 @gaocaoss — 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

36,05777,09856,577.57 August 2026 — 77,098 subscribers8 August 2026 — 77,035 subscribers9 August 2026 — 75,552 subscribers10 August 2026 — 75,427 subscribers11 August 2026 — 75,162 subscribers12 August 2026 — 75,019 subscribers13 August 2026 — 74,917 subscribers14 August 2026 — 47,337 subscribers15 August 2026 — 47,251 subscribers17 August 2026 — 46,605 subscribers18 August 2026 — 46,088 subscribers19 August 2026 — 45,293 subscribers20 August 2026 — 45,100 subscribers21 August 2026 — 45,064 subscribers22 August 2026 — 42,807 subscribers24 August 2026 — 41,922 subscribers25 August 2026 — 41,268 subscribers26 August 2026 — 41,213 subscribers27 August 2026 — 40,690 subscribers28 August 2026 — 40,424 subscribers29 August 2026 — 40,390 subscribers30 August 2026 — 40,366 subscribers31 August 2026 — 40,344 subscribers1 September 2026 — 40,318 subscribers2 September 2026 — 40,295 subscribers3 September 2026 — 40,208 subscribers6 September 2026 — 40,162 subscribers9 September 2026 — 40,024 subscribers11 September 2026 — 39,761 subscribers13 September 2026 — 36,598 subscribers15 September 2026 — 36,554 subscribers17 September 2026 — 36,502 subscribers25 September 2026 — 36,057 subscribers7 August 202625 September 2026
33 measurements spanning 49 days, net -41,041. 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 29,901–83,254 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
25 Sept 2026, 11:2036,057-445
17 Sept 2026, 05:5536,502-52
15 Sept 2026, 07:2136,554-44
13 Sept 2026, 14:3936,598-3,163
11 Sept 2026, 18:5639,761-263
9 Sept 2026, 08:1840,024-138
6 Sept 2026, 00:5740,162-46
3 Sept 2026, 22:1640,208-87
2 Sept 2026, 13:3440,295-23
1 Sept 2026, 15:4840,318-26
31 Aug 2026, 16:1640,344-22
30 Aug 2026, 18:1240,366-24
29 Aug 2026, 18:4540,390-34
28 Aug 2026, 15:3640,424-266
27 Aug 2026, 13:1840,690-523
26 Aug 2026, 12:2541,213-55
25 Aug 2026, 15:0941,268-654
24 Aug 2026, 13:5441,922-885
22 Aug 2026, 18:4842,807-2,257
21 Aug 2026, 11:3645,064first reading

Engagement

400 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 93 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.60%
avg views ÷ 36,057 subscribers
Avg views / post
2,020
40 posts measured
Reaction rate
0.03%
reactions ÷ views · ER floor
Posts in window
40
of 400 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 12 of 40 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 27 September 2026
Posts held400 (7 August 2026 – 27 September 2026)
Views total80,706
Reactions total12
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 16:02 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
≈17,000
Videos
≈3,130
Links
≈5,090

Lifetime counters from Telegram’s own channel header, read 27 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
1h 08m
Average length
44s

Measured directly from 92 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

17 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 35.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍635.3%
🔥423.5%
❤211.8%
🤩211.8%
🥰211.8%
💯15.88%

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 17 of the 400 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 17 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 400 most recent posts we hold, published 7 August 2026 to 27 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

27 Sept 2026, 15:45 UTC211 viewsread 27 September 2026
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#菲律宾营商环境 #华商提醒 一知名国际公司遭菲政府关闭!这样的环境,谁还敢来❓❓❓ 一家在澳大利亚经营多年的教育、培训及招聘集团近日遭菲律宾政府整顿,旗下5家公司及关联企业被下令关闭。 菲律宾劳工与海外就业部门9月25日通报,AUSPHIN PTY LTD、AUSPHIN GROUP及关联企业涉嫌在没有取得必要授权的情况下,在菲律宾开展海外招聘及安置业务,因此被发出5份关闭令。 调查显示,这些企业涉嫌招募菲律宾人前往澳大利亚工作,涉及厨师、酒店及旅游等行业,并向求职者收取培训、材料及签证等费用,按照官方通报所列项目,部分申请人累计支付超过40万比索。 菲律宾当局表示,相关负责人可能面临非法招聘指控,企业还可能被取消营业许可及公司注册。 值得注意的是,AUSPHIN集团自2012年起运营,业务涉及职业教育、培训、招聘及签证移民服务,并在多个国家开展业务。此次菲律宾方面调查的重点,并非其海外培训资质,而是其在菲律宾开展海外…

27 Sept 2026, 15:10 UTC627 viewsread 27 September 2026
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#国内资讯:微信严查头像昵称:今年已处置9万多个账号,严重违规直接封号 9月24日,“微信珊瑚安全”公布账号资料专项治理情况。今年以来,微信已处置相关违规账号92079个,其中2463个账号被关闭。 这次重点整治冒充官方、伪装身份和违规引流等问题。有人用“服务中心”等名称冒充官方机构,有人把账号包装成新闻媒体,还有人在没有认证的情况下使用财经、医疗、司法、教育等专业身份。 微信已对相关账号采取清空资料、禁言、封号等措施。近期部分冒充“村干部”直播带货的账号,已被永久封禁。头像、昵称和简介如果存在冒充官方、身份伪装,或夹带色情、赌博等违规引流内容,严重的可直接封号。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

27 Sept 2026, 14:56 UTC1 views1 reactionsread 27 September 2026
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#巴基斯坦资讯:卡拉奇NCCIA突袭两处涉嫌诈骗呼叫中心,73人被带走调查 9月27日,巴基斯坦国家网络犯罪调查局(NCCIA)卡拉奇分局对位于卡拉奇Tariq Road、PECHS Block 6的两处涉嫌从事诈骗活动的呼叫中心展开突袭行动。 据当地媒体报道,两处呼叫中心均隐藏在住宅别墅内运营,现场共有73名人员被带走调查。涉案人员包括客服代理、客服主管、运营负责人以及IT工作人员等。 执法人员在现场查获一套正在运行的CRM系统,其中存有客户信息及呼叫中心运营数据,同时扣押其他电子设备和数字证据。相关设备及数据已被送交进行进一步的取证和技术分析。 初步调查显示,涉案呼叫中心涉嫌以Zain Communications名义运营,并被指通过虚假金融服务等方式,将美国公民作为目标。据报道,相关人员涉嫌以新信用卡、低利率金融服务等名义实施诈骗。 目前案件已立案调查,相关FIR编号为92/2026及93/2026。其中一名涉案运…

👍1

27 Sept 2026, 14:40 UTC≈3,920 views1 reactionsread 27 September 2026
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#网友投稿:老挝特内的壹号公馆二期现在检查,现场已经通知跑出来了很多人了 目前只有治安局,没听到有老挝警察过来,还在办公的赶紧跑吧 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

👍1

27 Sept 2026, 14:30 UTC≈3,670 views1 reactionsread 27 September 2026
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#国内新闻 山东枣庄警方侦破一起侵犯公民个人信息案,抓获涉案人员28名,查获公民个人信息4000余万条 近日,山东省枣庄市公安局网安部门在“净网—2026”专项行动中,成功侦破一起侵犯公民个人信息案,打掉犯罪团伙2个,抓获涉案人员28名,查获被非法获取、倒卖的公民个人信息4000余万条,初步查明涉案金额600余万元。 2026年5月,枣庄市滕州公安网安部门在工作中发现,网民马某某长期通过非法渠道大量购买公民个人信息,并将相关信息批量用于贷款业务电话推销,严重侵害群众合法权益。 经进一步侦查,警方发现,马某某组织多人非法获取、整理、倒卖公民个人信息,逐步形成了“获取—整理—分销—变现”的黑色产业链。该犯罪团伙涉案人员众多、涉及信息数量巨大,社会危害性较强。 在查清案件事实、固定相关证据后,枣庄警方组织警力分赴多地开展抓捕行动,成功将28名涉案人员全部抓获,依法捣毁相关犯罪团伙。目前,案件正在进一步办理中。 警方提醒,公民…

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27 Sept 2026, 14:10 UTC≈3,330 viewsread 27 September 2026
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冒充大陆公安诈骗逾50人 “天金诈骗集团”20人遭起诉 台湾彰化地方检察署9月27日公布“天金诈骗集团”案件进展。该集团涉嫌冒充中国大陆公安人员,以涉及洗钱等理由诈骗民众,受害者超过50人。检方已分6波起诉20人,并对集团核心成员林姓女子求刑25年。 检方指出,该集团由廖姓男子、林姓女子为核心,设立“天成机房”及“金云曜机房”,专门从事假冒大陆公安的电信诈骗。为躲避警方查缉,集团多次更换机房地点,先后转移至台中梧栖、乌日及北屯等地,并与其他诈骗集团合作,招募车手及收簿人员转移、洗白赃款。 其中,一名在新加坡留学的学生接到诈骗电话后,被骗称银行账户涉及洗钱,随后遭要求前往越南“配合调查”。诈骗人员进一步控制其手机,并制作学生遭捆绑的视频,再以视频向身处中国大陆的台商父亲勒索财物。 该名家长最终在中国大陆交出4公斤黄金,价值超过1600万元新台币。诈骗集团随后派遣车手前往大陆取走黄金,并通过相关管道将赃款洗白。 彰化地检署…

27 Sept 2026, 13:52 UTC≈4,230 viewsread 27 September 2026
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#巴基斯坦资讯:“拉合尔非法呼叫中心被查,21人被捕, NCCIA Lahore与Faisalabad在拉合尔DHA Phase 6突袭一处涉嫌非法呼叫中心。 抓获21名嫌疑人,查扣29部手机和10台电脑。初查显示,该团伙涉嫌利用虚假社交账号、SIM卡及VPN开展线上任务/投资诈骗。目前嫌疑人国籍、涉案金额及受害者情况尚未披露,案件仍在调查中。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

27 Sept 2026, 13:40 UTC2 viewsread 27 September 2026
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#群友爆料:缅甸三佛塔园区黑幕曝光最新消息,坐标:北纬 15.47331,东经 98.28373。 园区内几十家公司,十几栋楼,每栋楼3层。涉事888公司,老板都是中国人。园区主管“大炮”,二老板“三喜”,里面不少打手和管理层还吸DU。 这个园区之前就被曝光过很多次,但暴行一点没变。被骗过来的人全部被非法关押、殴打、电击、小黑屋、水牢、关兵站、塞进狗笼,往笼子里放毒蛇都是家常便饭。 男的一送进去先挨打,先来个下马威。还会给受害者看酷刑、伤人致死的视频,用来吓唬人。 园区门口有持枪大兵二十四小时轮流看守,根本无法逃脱。当地武装和园区利益牵扯甚广,不敢让人逃跑。 长得好看的女生,会被送到园区会所被逼卖淫;普通样貌的女生,和男生一样,被逼做电信诈骗敲键盘。只要稍微敢反抗,就会遭受各种暴力虐待。 很多被困的人被折磨到身体垮掉、精神失常。 这里的残忍程度不亚于当年的KK园区。恳请国际反诈联盟、国际刑警,还有中缅泰相关官方关注,出…

27 Sept 2026, 13:29 UTC≈3,120 viewsread 27 September 2026
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巴基斯坦NCCIA在伊斯兰堡查处非法呼叫中心,9人被捕【含5名中国人】 据巴基斯坦联合通讯社(APP)报道,9月27日,巴基斯坦国家网络犯罪调查局(NCCIA)伊斯兰堡分部对一处涉嫌从事网络诈骗活动的非法呼叫中心展开突击行动。 此次行动依据第156/2026号第一信息报告(FIR)展开,案件涉及涉嫌利用电子手段实施欺诈活动。 行动中,执法人员共逮捕9名嫌疑人,其中包括5名外国籍人员和4名巴基斯坦籍人员。同时,执法人员还查扣多部电子设备及其他疑似与非法呼叫中心活动有关的证据。 NCCIA表示,目前已对查扣的设备及相关材料展开进一步调查,以确认涉案人员的具体分工、诈骗手法及案件涉及规模,并查明是否有其他人员或相关犯罪网络牵涉其中。 目前,案件仍在进一步调查之中。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKb…

27 Sept 2026, 13:09 UTC≈4,770 viewsread 27 September 2026
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#群友回复:哥,认真看完你说的这些,心里挺不是滋味的。 回复前文: 过去很多事,我一直都记着。当年你愿意拉我一把,给我做事的机会,这份恩情我从来没忘,也一直心怀感激。 只是很多事情,并不是你单方面描述的那样,中间有不少沟通上的误会,还有账目、业务交接上的分歧。一两句话很难把全部事实讲清楚。关于公司股权变更、业务交接这些,并不是我私下擅自去操作。 咱们认识这么久,一路合作过来,我也不想走到互相争执的地步。不属于我的东西,我不会去争。毕竟我为公司这些年也付出了很多,并不是空手套白狼得来。 大家都是成年人,有经济上的分歧,可以好好协商,并不是我欠你什么。你的恩情,我永远记在心里。有什么困难,我也会尽量帮助你,但我也只能在自己能力范围之内,毕竟现在公司不是我一个人在管理。 我还是很珍惜咱们之前的情分,不想把事情闹得很难看。希望我们都冷静一点,好好沟通,妥善把这件事解决掉。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 …

27 Sept 2026, 12:40 UTC≈3,570 views1 reactionsread 27 September 2026
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#马来西亚新闻 森林城市335人诈骗窝点刚被端,住宅内又发现大批疑似诈骗设备 9月27日,新加坡亚洲新闻台发布对马来西亚柔佛州森林城市的最新调查。7月警方刚在当地端掉大型诈骗窝点、抓获335人,近期又有出租公寓被发现藏有大批疑似用于诈骗活动的设备。 当地一名房东发现,出租公寓每月电费突然超过1000令吉,觉得情况不正常,随后让房产中介上门查看。中介进入房屋后发现大量技术设备,怀疑租客在屋内从事诈骗活动,随后将租客赶走,并向警方报告。 记者近期走访森林城市时,还发现当地仍有网络赌博店营业。赌客可通过Touch ’n Go电子钱包购买游戏额度,再使用店内平板电脑下注,最低约20令吉即可参与。 森林城市7月曾遭警方大规模扫荡。7月15日,柔佛警方突查27套公寓和5栋别墅,捣毁两个网络诈骗团伙,共抓获335人,其中309人为中国籍。 警方当时查获313台电脑、1557部手机、17台笔记本电脑等大量设备,涉案窝点主要从事虚假虚拟货…

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27 Sept 2026, 12:29 UTC≈9,660 viewsread 27 September 2026
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#网友投稿:斯里兰卡4月2号尼甘布153人案 我是11团队的一员,和大家一样,我们已经在这里等了整整半年。半年时间,我们一直在等开庭、等调查、等最后的结果。一路走到今天,大家都不容易。 我们很多人没有钱请专业律师,也没有足够的经济能力去解决这些问题。我们不是管理人员没有他们那么多钱走关系。可是案件到了现在这个阶段,我们不能只是继续沉默地等待。 如果最后的结果对我们不利,那我们这些普通人又该怎么办? 所以,我觉得现在我们真的应该团结起来。 一个人的力量很小,但我们这么多人如果能够团结起来,把大家的情况、诉求和实际困难整理清楚,通过合法、合理的方式向法院以及相关部门反映,至少我们不会再是一个人面对。 10月20日马上就到了,我们已经等了半年,真的耗不起了。 所以,希望4月2号案件的兄弟们都能站出来,联系起来,团结起来。无论最后面对什么结果,我们一起面对、一起想办法、一起依法争取自己的权益。 我们没有钱,但我们不能没有…

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