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Channel

华人大事件

@huarendashijian

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

11,443subscribers

-525 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002242458800
TypeChannel
Username@huarendashijian
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #华人大事件 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。 其他的华人大事件频道都是模仿的,一直被模仿从未被超越。 投稿爆料: @DV044
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 live8 November 2026
Measurements held47
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/huarendashijian

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 67% 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 4 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
@xigangriji818/332117 Aug 2026, 13:28 UTC@huarendashijian/67400 · this entry7 Aug 2026, 13:29 UTC1.00under a minute
@xigangriji818/332147 Aug 2026, 13:47 UTC@huarendashijian/67403 · this entry7 Aug 2026, 13:47 UTC1.00under a minute
@xigangriji818/332167 Aug 2026, 14:20 UTC@huarendashijian/67405 · this entry7 Aug 2026, 14:20 UTC1.00under a minute
@xigangriji818/332177 Aug 2026, 14:46 UTC@huarendashijian/67406 · this entry7 Aug 2026, 14:46 UTC1.00under a minute
@xigangriji818/332237 Aug 2026, 16:18 UTC@huarendashijian/67412 · this entry7 Aug 2026, 16:18 UTC1.00under a minute
@xigangriji818/332257 Aug 2026, 16:40 UTC@huarendashijian/67414 · this entry7 Aug 2026, 16:40 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@xigangriji8187 (7/7 hand-verifiable sample passed)1.00under a minute@xigangriji818 (7–0)
@ac6657 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (5–2)
@xigangriji7 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (5–2)
@WGSB0017 (7/7 hand-verifiable sample passed)1.00under a minutethis entry (7–0)

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. 11 of the 11 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 7 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 5, the earliest publisher we hold is @xigangriji818. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · 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 4 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

5,73519,26412,499.57 August 2026 — 11,968 subscribers8 August 2026 — 11,835 subscribers9 August 2026 — 11,632 subscribers10 August 2026 — 11,428 subscribers10 August 2026 — 19,264 subscribers11 August 2026 — 18,914 subscribers12 August 2026 — 18,776 subscribers14 August 2026 — 18,557 subscribers16 August 2026 — 18,228 subscribers17 August 2026 — 17,989 subscribers18 August 2026 — 17,832 subscribers19 August 2026 — 17,741 subscribers20 August 2026 — 17,621 subscribers21 August 2026 — 17,554 subscribers23 August 2026 — 17,453 subscribers24 August 2026 — 17,325 subscribers25 August 2026 — 17,201 subscribers26 August 2026 — 17,097 subscribers27 August 2026 — 17,056 subscribers28 August 2026 — 16,914 subscribers29 August 2026 — 16,711 subscribers30 August 2026 — 16,524 subscribers31 August 2026 — 16,450 subscribers1 September 2026 — 16,311 subscribers2 September 2026 — 16,169 subscribers4 September 2026 — 16,078 subscribers6 September 2026 — 15,913 subscribers9 September 2026 — 15,675 subscribers12 September 2026 — 15,306 subscribers13 September 2026 — 14,768 subscribers15 September 2026 — 13,765 subscribers17 September 2026 — 13,292 subscribers26 September 2026 — 10,586 subscribers4 October 2026 — 8,966 subscribers10 October 2026 — 8,139 subscribers14 October 2026 — 7,670 subscribers17 October 2026 — 7,125 subscribers20 October 2026 — 6,984 subscribers22 October 2026 — 6,588 subscribers26 October 2026 — 5,893 subscribers29 October 2026 — 5,735 subscribers31 October 2026 — 8,292 subscribers4 November 2026 — 11,471 subscribers5 November 2026 — 11,467 subscribers6 November 2026 — 11,451 subscribers7 November 2026 — 11,449 subscribers8 November 2026 — 11,443 subscribers11,4437 August 20268 November 2026
47 measurements spanning 93 days, net -525. 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 3,706–21,293 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 47
Measured (UTC)SubscribersChange
8 Nov 2026, 11:5511,443-6
7 Nov 2026, 06:2811,449-2
6 Nov 2026, 08:5611,451-16
5 Nov 2026, 08:0711,467-4
4 Nov 2026, 05:0611,471+3,179
31 Oct 2026, 23:058,292+2,557
29 Oct 2026, 09:395,735-158
26 Oct 2026, 04:575,893-695
22 Oct 2026, 23:466,588-396
20 Oct 2026, 02:306,984-141
17 Oct 2026, 07:067,125-545
14 Oct 2026, 07:117,670-469
10 Oct 2026, 12:418,139-827
4 Oct 2026, 17:418,966-1,620
26 Sept 2026, 19:1710,586-2,706
17 Sept 2026, 09:3813,292-473
15 Sept 2026, 11:1613,765-1,003
13 Sept 2026, 20:0114,768-538
12 Sept 2026, 01:5815,306-369
9 Sept 2026, 16:4115,675first reading

Engagement

729 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.62%
avg views ÷ 11,443 subscribers
Avg views / post
185
167 posts measured
Reaction rate
7.69%
reactions ÷ views · ER floor
Posts in window
167
of 729 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 1 of 167 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 8 November 2026
Posts held729 (7 August 2026 – 8 November 2026)
Views total30,941
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Nov 2026, 23:19 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
≈63,100
Videos
≈10,100
Links
≈12,100

Lifetime counters from Telegram’s own channel header, read 8 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 37m
Average length
41s

Measured directly from 232 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

4 reactions across 4 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4100.0%

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 7 of the 729 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 729 most recent posts we hold, published 7 August 2026 to 8 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: 0 of 167 posts held from the last 30 days (0%) 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).

8 Nov 2026, 17:11 UTC219 viewsread 8 November 2026
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币安黑客事件再添变数:黑客又积累了约2300枚比特币 币安遭遇高达63亿美元的巨额黑客攻击后(攻击者从交易所钱包中盗走了18,270.2枚BTC),链上分析公司Elliptic披露,攻击者的比特币持仓正在明显增加。据Elliptic称,黑客已将价值1.75亿美元的被盗山寨币兑换成约2,300枚比特币,进一步扩大了他们的比特币储备。 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 16:57 UTC282 viewsread 8 November 2026
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放心的再续租1年打野 #网友投稿 因为我们公司在胡志明市有打野的公寓据点10多处,所以最近很是密切频繁的关注关于胡志明市各方动态安危消息的爆料和新闻。 我们公司这10多处打野公寓据点算是已经深耕在了胡志明市第2郡,最早租的几处公寓有快1的时间需要考虑续租的事了。在这1年的时间内除了物业有登记过我们打野员工的护照入住信息之外,就再也没有遇到过胡志明市的其他政府部门来查很安全很稳✌🏻。 当时在第2郡租公寓的时候公司听取了胡志明本地员工的建议,所以我们公司租到的公寓背后物业管理方在胡志明属实力强大,有一定的能力保护租客的公寓房子不会随便让警察上门来查。 公寓里面住的外国人很多,除了有少量的中国和欧美白人租客之外其他更多的是韩国马来西亚日本新加坡人。我们住在公寓里面打野的员工素质高,不会聚众开趴大吵大闹影响其他租客,更没有在公寓里面从事其他违法犯罪的事情除了打野😬,员工都沉浸在自己的工作岗位上埋头赚钱。 11月6号我们公司的本…

8 Nov 2026, 16:36 UTC263 viewsread 8 November 2026
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#群友投稿:近期搬去菲律宾的盘口要注意了,菲律宾将近年底了,NBI开始出来捞钱了,近期趴赛和Makati很多公寓大楼都会被盘查~~ 前天晚上趴赛那边就有一个团队被NBI深夜给抓走了。 NBI抓人基本上都是直接去你房间的,因为现在很多团队都是公寓打野,很多都是那种10来个人,7/8个人这种团队要当心了,NBI最喜欢拿这种团队开刀~~ 还要注意被大楼里面的一些保姆举报~~因为很多团队出门都是成群结队的,那些保姆也不傻,都知道你们是做什么的,基本上一举报一个准!! 其次就是很多团队晚上在公寓里面喝酒,喝完酒那尿性:动不动就说菲律宾是他说了算,晚上2/3点宿舍炒的像在开演唱会一样~~这种一但被举报想跑都跑不了。 建议兄弟们出门别成群结队~~平时多和楼下保安通通气~~要是真深夜来抓人起码保安还能提前通知你跑路!! 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 16:05 UTC263 viewsread 8 November 2026
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#新加坡资讯:警方全岛展开扫黄行动!突击61处场所,195人被捕,冻结逾60万新元银行资金 新加坡警方11月8日发布通报称,刑事侦查局专案小组在七个警署的支援下,于9月14日至10月30日期间展开大规模联合执法行动,对全岛61处涉嫌涉及卖淫及相关违法活动的场所进行突击检查。 此次行动涉及按摩院、公共娱乐场所、美容院、酒店及住宅单位,共有195人被捕,其中包括187名女子和8名男子,年龄介于18岁至63岁。 警方在行动中查获多部手机、电脑及涉及卖淫活动的相关物品,并起获超过15万新元现金。此外,当局还冻结了存有超过60万新元资金的银行账户。 警方透露,被捕人员中包括一名41岁新加坡籍男子,他涉嫌利用远程通讯服务协助安排卖淫活动,已于10月23日被控上法庭。目前,其余被捕人员仍在接受调查。 根据新加坡《妇女宪章》相关规定,利用与新加坡有关联的远程通讯服务,安排女性在当地提供有偿性服务,一旦罪成,最高可被判处5年监禁、罚款1…

8 Nov 2026, 15:42 UTC199 viewsread 8 November 2026
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#马来西亚资讯:移民局公布最新数据!3万2052人涉及移民违法,累计罚款9178万令吉 11月7日,马来西亚移民局公布2026年前10个月移民执法罚款数据。从1月1日至10月31日,当局针对各类移民违法行为累计征收罚款9178万令吉,涉及32,052人。 马来西亚内政部长赛夫丁纳苏申(Saifuddin Nasution Ismail)表示,在累计罚款金额中,2459名雇主涉及5004万令吉罚款,另有29,593名非法移民涉及4174万令吉罚款。 数据显示,雇主所涉及的罚款金额已经超过总罚款的一半,反映出马来西亚当局在打击非法移民问题上,也将执法重点延伸至违规聘用外籍劳工的雇主。 部长指出,雇主有责任确保所聘用的外籍员工持有合法旅行证件及工作准证。对于违反移民法律、非法聘用外籍劳工的雇主,当局将依法采取行动。 他强调,解决非法移民问题不能仅依靠罚款,还需要持续加强执法、检查及监管工作,并呼吁民众积极举报涉嫌违反移民法律…

8 Nov 2026, 15:20 UTC270 viewsread 8 November 2026
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#网友投稿 十一月一号终于是和同事们安全的离开了金边这座醉死梦生的大都市,暂时性的先撤去东南方向的外乡民房里面蛰伏起来远程办公一段时间。 从今年下半年陆续开始,我们有好多个来自不同国家的同事对一直留在金边办公的感觉不是很良好,就是那种心慌心悸很快会大难临头被金边警察抓走遣返回国的感觉。 如果是个别人这样觉得可能是发神经或吸毒烧坏了脑子,但同时很多人有这样的感觉就不对劲了。现在的金边在多个镇区提高悬赏金鼓励所有民众举报电诈,还不撤怕是保姆或其他本地人在某一天举报我们拿着上千美金的悬赏金回家可以过个肥年。 其实在一号那天我们坐的面包车快离开金边的时候有遇到交警拦停检查,当场只有两个交警上前就对着我们的两辆面包车各种拍摄。司机和交警沟通以为只要罚款二十美金,但交警看车子上有这么多外国人觉得不够不放行也不查我们的证件,偷偷比了个二的手势要两千美金。 讨价还价了一下最终给了一千五百美金,中间我们一直有留意交警是否会呼叫支援抓人,…

8 Nov 2026, 15:07 UTC215 viewsread 8 November 2026
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8 Nov 2026, 14:49 UTC272 viewsread 8 November 2026
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#群友投稿:中国人在柬埔寨受尽了委屈。你们太不是人了!指的是宪兵、警察、戒毒局等等一系列当官的人。 希望你们有一天去了别的国家,也会受到同样的待遇。以后在中国遇见你们柬埔寨的人,我一定会在你脸上吐口水。 你们借着打击电诈,坑害中国人。老外你们为啥不敢欺负?我们咋的?我也在柬埔寨生活了二年,看到中国同胞因为没钱,在西港警察局被打死。每天都在报道,真的感觉到羞耻。 中国人虽然干了一些违法事情,但我们是有人权的!你们国家根本没把我们当人看。我真的希望,以后你们来我们国家参观,也没有机会,因为你们没钱坐飞机。就在你们这个地方好好待着吧。 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 14:20 UTC297 viewsread 8 November 2026
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#马来西亚资讯:吉隆坡警方突袭无牌娱乐场所,195名未达规定年龄人士被扣留! 马来西亚吉隆坡警方于11月8日凌晨展开突击执法行动,突查一家涉嫌无牌经营的娱乐场所,现场共有195名未达规定年龄的人士被发现并扣留,场所经理也被警方调查。 行动中,警方共发现195名未达规定年龄的人士,其中包括93名本地男性、61名本地女性、16名外籍男性及25名外籍女性。 此外,警方还检查了16名娱乐场所工作人员及219名其他顾客。 警方表示,涉事娱乐场所涉嫌在没有合法营业执照的情况下经营,并允许未达规定年龄的人士进入。目前,场所经理已被调查,案件将依据相关娱乐法令处理。 行动期间,警方还对49人进行初步尿液检测,其中1名成年男性被发现对安非他命及冰毒成分呈阳性反应。 警方表示,将继续加强对娱乐场所的执法检查,严厉打击违规经营及涉及未成年人的违法行为。 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 13:51 UTC245 viewsread 8 November 2026
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防诈骗热线997全天候运作 启用以来成功拦截逾1亿令吉诈骗款 若遭遇网络金融诈骗,切勿犹豫或拖延。警方提醒民众,一旦发现受骗,应立即拨打国家诈骗应对中心(NSRC)997热线求助。该热线目前全天候运作,协助受害者争取拦截诈骗款项。 根据大马皇家警察近日在脸书公布的数据,NSRC自2022年启用以来,截至2026年10月共接获52万3997通来电,成功拦截总值1亿零93万令吉的诈骗资金,并协助受害者追回及退还共1466万令吉。 警方指出,及时通报有助于拦截可疑交易、减少财务损失。受害者应在发现受骗后第一时间拨打997,越早采取行动,成功拦截交易及挽回损失的机会越大,切勿因慌张或担心而延误求助。 即使诈骗事件发生已超过24小时,民众仍应联系银行通报,切勿因延误而放弃求助。不过,警方提醒,及时通报并不代表一定能够追回款项。 完成通报后,受害者也应尽快前往邻近警局报案,以便警方展开正式调查。报案时可准备转账收据、相关银行账户资…

8 Nov 2026, 13:28 UTC227 viewsread 8 November 2026
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#网友投稿:柬埔寨警方已和中国公安实现数据共享,范围涵盖柬埔寨出入境记录、在柬中国人居住登记、各类实名登记信息等。 请在柬同胞们遵守当地法律法规,请勿从事任何违法犯罪活动! 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

8 Nov 2026, 13:17 UTC273 viewsread 8 November 2026
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FATF黑名单对缅甸的影响 被列入FATF黑名单对缅甸经济和民众造成多重负面影响: · 银行业受阻:外国银行严格审查,汇款延误,部分国际银行切断与缅业务。 · 贸易投资受挫:跨境收付款困难,贸易成本上升,新外资几乎无法进入。 · 侨汇困难:海外缅甸人正规汇款受阻,面临限制或账户冻结。 · 非法渠道滋生:民众转向地下钱庄,加剧缅币贬值和通货膨胀。 📣 东南亚新闻实时播报 👉 投稿商务: @DV044

Showing the 12 most recent of 729 posts we hold for @huarendashijian. 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.

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

“华人大事件” (@huarendashijian), 11,443 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/huarendashijian.

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.