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Channel

🅥亚太新闻曝光

@syxw7

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

54,813subscribers

+2,186 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-1002267280794
TypeChannel
Username@syxw7
Description东南亚大事件 - 【视野新闻】 “视野新闻” 是一扇洞察热点新闻窗口,致力于为在外华人带来丰富、多元且具有深度的新闻资讯。 “视野新闻” 不仅是新闻的传递者,更是思考的引领者。 都将以广阔的视野、精彩的内容和优质的服务,成为你获取信息、开拓视野的最佳伙伴。 视野发布员 - 胖胖 : @syxw01
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/syxw7

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 66% 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
@syxw7/52427 · this entry7 Aug 2026, 07:25 UTC@syxw1/483437 Aug 2026, 08:35 UTC1.0071 minutes
@syxw7/52430 · this entry7 Aug 2026, 08:20 UTC@syxw1/483457 Aug 2026, 09:01 UTC1.0041 minutes
@syxw1/483467 Aug 2026, 09:19 UTC@syxw7/52432 · this entry7 Aug 2026, 10:07 UTC1.0049 minutes
@syxw1/483487 Aug 2026, 09:39 UTC@syxw7/52441 · this entry7 Aug 2026, 11:25 UTC1.001.8 hours
@syxw1/483517 Aug 2026, 10:36 UTC@syxw7/52514 · this entry7 Aug 2026, 20:25 UTC1.009.8 hours
@syxw1/483907 Aug 2026, 15:19 UTC@syxw7/52507 · this entry7 Aug 2026, 17:39 UTC1.002.3 hours
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@syxw18 (8/8 hand-verifiable sample passed)1.0071 minutes@syxw1 (6–2)
@syxw55 (5/5 hand-verifiable sample passed)0.9967 minutes@syxw5 (4–1)

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. 10 of the 10 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 28 comparable posts for this entry, running 7 August 2026 to 8 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 @syxw7 — which is this entry. 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

39,40160,63950,0207 August 2026 — 52,627 subscribers7 August 2026 — 52,625 subscribers8 August 2026 — 52,206 subscribers9 August 2026 — 51,870 subscribers10 August 2026 — 51,690 subscribers11 August 2026 — 51,420 subscribers12 August 2026 — 51,224 subscribers14 August 2026 — 51,033 subscribers15 August 2026 — 50,806 subscribers16 August 2026 — 50,487 subscribers18 August 2026 — 50,103 subscribers19 August 2026 — 49,940 subscribers20 August 2026 — 49,857 subscribers21 August 2026 — 49,790 subscribers22 August 2026 — 49,657 subscribers24 August 2026 — 49,477 subscribers25 August 2026 — 49,330 subscribers26 August 2026 — 56,140 subscribers27 August 2026 — 51,750 subscribers27 August 2026 — 60,639 subscribers28 August 2026 — 57,885 subscribers30 August 2026 — 55,403 subscribers31 August 2026 — 54,698 subscribers1 September 2026 — 54,031 subscribers2 September 2026 — 53,604 subscribers3 September 2026 — 53,098 subscribers4 September 2026 — 52,563 subscribers8 September 2026 — 51,136 subscribers11 September 2026 — 53,882 subscribers13 September 2026 — 52,798 subscribers14 September 2026 — 52,065 subscribers16 September 2026 — 53,642 subscribers18 September 2026 — 51,589 subscribers25 September 2026 — 46,970 subscribers3 October 2026 — 44,572 subscribers8 October 2026 — 42,812 subscribers12 October 2026 — 41,197 subscribers14 October 2026 — 40,617 subscribers15 October 2026 — 40,086 subscribers16 October 2026 — 39,805 subscribers17 October 2026 — 39,401 subscribers18 October 2026 — 44,216 subscribers19 October 2026 — 43,909 subscribers20 October 2026 — 43,547 subscribers21 October 2026 — 56,447 subscribers22 October 2026 — 55,954 subscribers23 October 2026 — 55,578 subscribers24 October 2026 — 55,189 subscribers25 October 2026 — 54,850 subscribers26 October 2026 — 54,354 subscribers27 October 2026 — 58,316 subscribers28 October 2026 — 57,689 subscribers29 October 2026 — 57,380 subscribers30 October 2026 — 56,457 subscribers31 October 2026 — 56,091 subscribers2 November 2026 — 55,788 subscribers3 November 2026 — 55,313 subscribers3 November 2026 — 54,955 subscribers4 November 2026 — 54,813 subscribers54,8137 August 20264 November 2026
59 measurements spanning 89 days, net +2,186. 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 36,215–63,825 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
4 Nov 2026, 23:5154,813-142
3 Nov 2026, 23:3054,955-358
3 Nov 2026, 01:2955,313-475
2 Nov 2026, 01:2955,788-303
31 Oct 2026, 22:3656,091-366
30 Oct 2026, 21:0556,457-923
29 Oct 2026, 19:5957,380-309
28 Oct 2026, 22:4757,689-627
27 Oct 2026, 19:3758,316+3,962
26 Oct 2026, 20:4554,354-496
25 Oct 2026, 19:4554,850-339
24 Oct 2026, 20:0955,189-389
23 Oct 2026, 20:5455,578-376
22 Oct 2026, 22:0955,954-493
21 Oct 2026, 17:0056,447+12,900
20 Oct 2026, 15:4643,547-362
19 Oct 2026, 16:3643,909-307
18 Oct 2026, 15:1144,216+4,815
17 Oct 2026, 11:5539,401-404
16 Oct 2026, 09:1539,805first reading

Engagement

1,995 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 181 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.22%
avg views ÷ 54,813 subscribers
Avg views / post
667
681 posts measured
Reaction rate
0.182%
reactions ÷ views · ER floor
Posts in window
681
of 1,995 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 6 of 681 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 4 November 2026
Posts held1,995 (7 August 2026 – 4 November 2026)
Views total454,312
Reactions total6
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 00:17 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
≈44,100
Videos
≈8,510
Links
≈20,300

Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
2h 49m
Average length
34s

Measured directly from 299 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

15 reactions across 15 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍15100.0%

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 15 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 15 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 21 September 2026 to 4 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 681 posts held from the last 30 days (0.147%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

4 Nov 2026, 14:03 UTC7 viewsread 5 November 2026
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#越南资讯:岘港突袭豪华别墅,13名外国人涉嫌跨国网络诈骗被查,涉及2名中国籍人员 11月4日,越南岘港市警方通报,10月28日,警方在岘港市电盘东坊(Điện Bàn Đông)Regal Victoria豪华别墅区展开突击行动,捣毁一个涉嫌针对印尼民众实施网络诈骗的团伙,共发现并查获13名外国人,其中包括2名中国籍人员和11名印尼籍人员。 据警方初步调查,该团伙由中国籍男子Xiong Zhouhua负责组织和指挥,印尼籍男子Aditya Aldi Pratama负责日常管理及任务分配,其他成员则负责寻找目标、联系受害者并诱导转账。 调查显示,该团伙通过WhatsApp、Telegram等社交平台冒充女性,与印尼民众建立感情关系,取得信任后,再诱导受害者进入虚假购物平台,以完成购物任务、赚取佣金为诱饵,骗取受害者不断充值转账。诈骗初期,团伙会返还少量本金及佣金,待受害者投入大额资金后,便以各种理由限制提现,最终侵吞资金。…

4 Nov 2026, 14:03 UTC7 viewsread 5 November 2026
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#越南资讯:岘港突袭豪华别墅,13名外国人涉嫌跨国网络诈骗被查,涉及2名中国籍人员 11月4日,越南岘港市警方通报,10月28日,警方在岘港市电盘东坊(Điện Bàn Đông)Regal Victoria豪华别墅区展开突击行动,捣毁一个涉嫌针对印尼民众实施网络诈骗的团伙,共发现并查获13名外国人,其中包括2名中国籍人员和11名印尼籍人员。 据警方初步调查,该团伙由中国籍男子Xiong Zhouhua负责组织和指挥,印尼籍男子Aditya Aldi Pratama负责日常管理及任务分配,其他成员则负责寻找目标、联系受害者并诱导转账。 调查显示,该团伙通过WhatsApp、Telegram等社交平台冒充女性,与印尼民众建立感情关系,取得信任后,再诱导受害者进入虚假购物平台,以完成购物任务、赚取佣金为诱饵,骗取受害者不断充值转账。诈骗初期,团伙会返还少量本金及佣金,待受害者投入大额资金后,便以各种理由限制提现,最终侵吞资金。…

4 Nov 2026, 13:35 UTC6 viewsread 5 November 2026
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#小菲分享 #我和中国丈夫的爱情故事 大家好,我是一名在中国生活的菲律宾女生,丈夫和公婆都对我非常好,给了我应有的疼爱和尊重 ❤️ 我们的相识 我和丈夫第一次认识是在2021年,通过 Facebook 上的交友平台认识的。 一开始只是简单地打了声招呼,后来慢慢聊了很多话题。 2021年7月,我们开始在 Facebook 上认识彼此。2021年9月,我们第一次见面。我们当时住在同一个城市,也就是马尼拉的帕赛市(Pasay)。 我丈夫当时没有任何不良企图,他邀请我去海底捞(Haidilao)吃晚餐。吃完饭后,我们又去海边闲逛,一边喝星巴克(Starbucks)。 时间来到2021年12月,他正式向我表白。交往了几个星期后,我答应了他。 他是一个非常有绅士风度的男人,我从来没有在他身上感受到任何不好的地方。 2022年4月,我们第一次发生了亲密关系。之后,他邀请我和他一起同居,还告诉我,他已经在 Shore 附近找到了…

4 Nov 2026, 13:34 UTC≈1,090 viewsread 5 November 2026
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#菲律宾资讯:甲美地省警方围剿武装抢劫团伙,枪战击毙5人,2名嫌犯在逃 11月3日下午,菲律宾甲美地省描科沃市(Bacoor)发生一起警匪枪战事件。警方根据情报,对一个涉嫌策划入室抢劫的武装犯罪团伙展开围剿,双方在追车过程中多次交火,最终造成5名嫌疑人死亡,另有2人逃脱。 据警方通报,11月3日下午约1时,警方接获情报,称一伙武装人员计划闯入甲美地省Town and Country住宅区,对一名黄金交易商及当地富商实施抢劫。 警方随后部署情报人员、特警及巡逻警力展开监控。调查发现,嫌疑人分别乘坐摩托车及丰田Vios轿车活动,其中一人涉嫌穿着保安制服,试图伪装成小区保安进入住宅区踩点,但其服装与小区正规保安制服不符,引起警卫怀疑。 警方尝试拦截检查时,嫌疑人突然开枪,击中一辆警车,随后驾车逃窜,双方展开高速追逐,最终在Molino高架桥一带发生激烈枪战。 追捕过程中,嫌疑车辆失控翻覆,车内两名嫌疑人死亡。随后,部分嫌疑人持…

4 Nov 2026, 13:27 UTC3 viewsread 5 November 2026
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#群友投稿:不管你是过来打工、投资开公司,还是想来老挝找伴侣成家 下面这些坑,一旦踩进去,轻则亏几万,重则坐牢,都是我亲眼接触的真实案例,按时间线跟大家说清楚。 第一,办邀请函别贪便宜。为省一两百拿到假邀请函,入境直接被遣返;还有的邀请函没有劳工审批,入境之后拿到的是系统查不到的假工作证,遇上检查直接出大事。 第二,入境的时候,核对签证类型和邀请函批文,确认盖好入境章!当场检查,有问题马上找出入境,别等到后面出境、被查才发现。 第三,国内车带到老挝想上当地车牌,小心假牌照、假完税证,交警系统一查就露馅,罚款上万甚至直接扣车。 第四,代办老挝结婚证是高危大坑!很多证公章签名全是伪造的,一旦查到,人先被拘留,还可能被控伪造公文、涉人口贩卖,起步量刑5年。 第五,工作证、暂住证假证特别多。中介层层转包,纸质证看着没问题,系统没有记录,被查到照样带走问话,语言不通百口莫辩,证件真假不能只听中介说。 第六,网上号称能办假中国护…

4 Nov 2026, 13:11 UTC≈1,150 viewsread 5 November 2026
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#群亿酒店澄清:尊敬的各位客人及社会各界朋友: 针对近日网络上有关群亿酒店“卷款跑路”“不退还客人房租”等相关言论及曝光信息,我酒店对此高度重视,现郑重作出以下澄清: 首先,网络上所传播的我酒店卷款跑路、恶意拖欠客人租金等说法,与实际情况不符,相关言论存在不实及误导之处。 其次,对于客人提出的退租及退款需求,我酒店一直在积极沟通和妥善处理。截至今日,我酒店已陆续安排办理退款,绝大部分客人的租金已通过群亿酒店名义退还到账,剩余个别退款也正在积极跟进处理。 群亿酒店始终重视每一位客人的合法权益。对于给客人带来的不便,我们深表歉意,也感谢大家的理解与耐心。 我们理解客人对退款进度的关注,但希望大家在了解完整事实之前,不要轻信和传播未经核实的信息,以免造成不必要的误解。 对于尚未收到退款的客人,请通过酒店官方渠道与我们联系,我们将积极核实并尽快处理,确保每一位客人的退款问题都得到妥善解决。 群亿酒店郑重声明:我们没有逃避责任…

4 Nov 2026, 13:05 UTC2 viewsread 5 November 2026
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#网友分享 戏里戏外皆魔幻:看懂菲律宾“一地鸡毛、唯有嘴硬”的底层脑回路】 Buhay Teleserye: Pag-unawa sa Kaisipang ”Gulo na ang Buhay, Pero Matigas Pa Rin ang Mukha” Kapag nag-scroll ka sa Facebook, madalas kang magugulat sa kakaibang takbo ng utak ng ilang Pilipinong netizen: Sa isang sandali, todo-bardagulan at akala mo hindi na magbaba-bati, pero sa susunod na segundo, biglang magpapakita ng matinding lambingan at tila walang nangyari. Nakakahilo a…

4 Nov 2026, 13:00 UTC≈1,180 viewsread 5 November 2026
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😀😀😀😀😀😀😀😀😀😀😀😀😀 😀【7T.COM】全球公认最稳! 😀😀😀😀😀😀😀😀😀😀 😀380亿U出款见证,持续为用户提供稳定可靠体验 😀😀😀😀😀😀😀😀😀😀 😀行业领先出款效率,58秒见证极速服务体验。 😀😀😀😀😀😀😀😀😀😀😀😀 😀持续稳定增长,都是各位老板的信任见证。 😀😀😀😀😀😀😀😀😀😀😀 实力积累,赢得行业各老板的认可。 😀😀😀😀😀😀😀😀😀😀 每月千万美金投入,致力打造行业品牌标杆。 😀😀😀😀:【7T.COM】 😀😀😀😀:【官方飞投】 😀😀😀😀:【@uuu7t】 😀😀😀😀😀😀😀😀😀😀😀

4 Nov 2026, 12:49 UTC≈1,210 viewsread 5 November 2026
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#马来西亚资讯:雪兰莪士毛月突袭6处住宅,117人被捕,109名外国人涉嫌卷入网络诈骗 11月3日,马来西亚移民局联合马来西亚通讯及多媒体委员会(MCMC),在雪兰莪州士毛月展开联合执法行动,对6处涉嫌被用作网络诈骗据点的住宅进行突击检查,最终逮捕117人,其中包括109名外国人及8名马来西亚籍人士。 马来西亚移民局总监扎卡里亚·沙班指出,此次行动是在接获公众投诉后,由执法人员经过约两周情报收集与调查而展开。行动于当天上午11时50分正式进行,共出动77名移民局执法人员及10名通讯及多媒体委员会工作人员。 被捕人员包括98名外籍男子、11名外籍女子,以及7名马来西亚籍男子和1名马来西亚籍女子。外籍人员分别来自中国、日本、韩国、柬埔寨及越南。 初步调查发现,这6处住宅涉嫌被用作网络诈骗集团的运作据点,主要涉及虚假投资、虚假招聘及电子商务诈骗等活动。执法人员突袭时,部分人员据称正在通过社交媒体平台与受害者进行联系。 行动期间…

4 Nov 2026, 12:49 UTC≈1,090 viewsread 5 November 2026
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#马来西亚资讯:雪兰莪士毛月突袭6处住宅,117人被捕,109名外国人涉嫌卷入网络诈骗 11月3日,马来西亚移民局联合马来西亚通讯及多媒体委员会(MCMC),在雪兰莪州士毛月展开联合执法行动,对6处涉嫌被用作网络诈骗据点的住宅进行突击检查,最终逮捕117人,其中包括109名外国人及8名马来西亚籍人士。 马来西亚移民局总监扎卡里亚·沙班指出,此次行动是在接获公众投诉后,由执法人员经过约两周情报收集与调查而展开。行动于当天上午11时50分正式进行,共出动77名移民局执法人员及10名通讯及多媒体委员会工作人员。 被捕人员包括98名外籍男子、11名外籍女子,以及7名马来西亚籍男子和1名马来西亚籍女子。外籍人员分别来自中国、日本、韩国、柬埔寨及越南。 初步调查发现,这6处住宅涉嫌被用作网络诈骗集团的运作据点,主要涉及虚假投资、虚假招聘及电子商务诈骗等活动。执法人员突袭时,部分人员据称正在通过社交媒体平台与受害者进行联系。 行动期间…

4 Nov 2026, 12:38 UTC1 viewsread 5 November 2026
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#网友投稿:在柬埔寨说生意不好的,多做做本地人的生意,本地有钱土豪也很多,中国人不赚中国人,要赚外国人的钱,才算真本事! 你赚不到外国人的钱,就说明你根本不适合出国!既然出国了,就要勇敢赚外国人的钱

4 Nov 2026, 12:31 UTC1 viewsread 5 November 2026
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#群友分享:这些年走过了许多国家,同样也端过盘子擦过桌,见过太多的勾心斗角尔虞我诈,现在能平安健康的也感到欣慰,刚刚出来的时候总是立志要出人头地衣锦还乡,但拼了那么多年结果也还不是一无所有,至少也被累着了,停下来时不敢回头去看我逝去的青春,现在回到农村过着与世无争安静的生活反而觉得十分满足。 幸福不属于穷人同样也不属于富人,而是属于知足的人、此时我就是知足的那个人、祝各位还在打拼的同胞马到成功万事如意。

Showing the 12 most recent of 1,995 posts we hold for @syxw7. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 48 registered channels — 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. The 21 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“🅥亚太新闻曝光” (@syxw7), 54,813 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/syxw7.

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.