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Channel

🅥 海外安危新闻

@JJZX03

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

70,658subscribers

-37,931 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001178661038
TypeChannel
Username@JJZX03
Description东南亚【聚焦新闻】 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、商业服务、资源对接...让您看尽东南亚大小事。 ◈投稿小编: @agivip ◈安危新闻: @JJZX03 ◈发财内部群 : @JJZX06 ◈曝光频道: @JJZX02
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 September 2026
Measurements held28
Confirmed unchanged1 time, most recently 5 September 2026
On Telegramt.me/JJZX03

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 80% 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 3 other registered channels. They sit inside a group of 5 channels that share the same post bodies with each other. 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
@JJZX03/34935 · this entry6 Aug 2026, 14:15 UTC@JJZX04/300856 Aug 2026, 14:16 UTC1.0072 seconds
@JJZX03/34942 · this entry6 Aug 2026, 16:20 UTC@JJZX04/300936 Aug 2026, 16:21 UTC1.0072 seconds
@JJZX03/34945 · this entry6 Aug 2026, 16:20 UTC@JJZX04/300946 Aug 2026, 16:21 UTC1.00under a minute
@JJZX03/34950 · this entry6 Aug 2026, 16:20 UTC@JJZX04/301006 Aug 2026, 16:21 UTC1.0072 seconds
@JJZX04/301917 Aug 2026, 12:21 UTC@JJZX03/35056 · this entry7 Aug 2026, 12:21 UTC1.00under a minute
@JJZX03/35088 · this entry7 Aug 2026, 14:37 UTC@JJZX04/302107 Aug 2026, 14:38 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@JJZX0423 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (212)
@JJZX019 (8/8 hand-verifiable sample passed)0.9974 minutes@JJZX01 (81)
@JJZX026 (6/6 hand-verifiable sample passed)1.002 minutes@JJZX02 (42)

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. 14 of the 14 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 40 comparable posts for this entry, running 6 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 @JJZX05. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, 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 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

70,658108,58989,623.56 August 2026 — 108,589 subscribers6 August 2026 — 108,589 subscribers7 August 2026 — 108,507 subscribers8 August 2026 — 108,276 subscribers9 August 2026 — 108,078 subscribers10 August 2026 — 107,846 subscribers11 August 2026 — 107,662 subscribers12 August 2026 — 107,573 subscribers14 August 2026 — 107,216 subscribers15 August 2026 — 104,955 subscribers16 August 2026 — 102,953 subscribers17 August 2026 — 100,944 subscribers18 August 2026 — 98,165 subscribers19 August 2026 — 98,013 subscribers20 August 2026 — 87,092 subscribers22 August 2026 — 83,660 subscribers24 August 2026 — 80,046 subscribers25 August 2026 — 77,574 subscribers26 August 2026 — 75,874 subscribers27 August 2026 — 75,197 subscribers28 August 2026 — 75,035 subscribers29 August 2026 — 74,699 subscribers30 August 2026 — 74,425 subscribers31 August 2026 — 74,095 subscribers1 September 2026 — 73,481 subscribers2 September 2026 — 72,855 subscribers3 September 2026 — 72,133 subscribers5 September 2026 — 70,658 subscribers6 August 20265 September 2026
28 measurements spanning 30 days, net -37,931. 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 64,968–114,279 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)SubscribersChange
5 Sept 2026, 15:0270,658-1,475
3 Sept 2026, 13:1972,133-722
2 Sept 2026, 09:3572,855-626
1 Sept 2026, 08:4873,481-614
31 Aug 2026, 07:5474,095-330
30 Aug 2026, 05:0474,425-274
29 Aug 2026, 08:2774,699-336
28 Aug 2026, 07:0775,035-162
27 Aug 2026, 07:5775,197-677
26 Aug 2026, 06:5875,874-1,700
25 Aug 2026, 05:1377,574-2,472
24 Aug 2026, 01:0580,046-3,614
22 Aug 2026, 12:2883,660-3,432
20 Aug 2026, 23:4387,092-10,921
19 Aug 2026, 22:5498,013-152
18 Aug 2026, 20:2698,165-2,779
17 Aug 2026, 19:24100,944-2,009
16 Aug 2026, 18:29102,953-2,002
15 Aug 2026, 06:49104,955-2,261
14 Aug 2026, 01:04107,216first reading

Engagement

732 posts held, back to 6 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 67 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.99%
avg views ÷ 70,658 subscribers
Avg views / post
1,400
682 posts measured
Reaction rate
0.042%
reactions ÷ views · ER floor
Posts in window
682
of 732 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 682 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 7 September 2026
Posts held732 (6 August 20267 September 2026)
Views total956,562
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 06:53 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
26,300
Videos
5,540
Links
18,100

Lifetime counters from Telegram’s own channel header, read 7 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
2h 07m
Average length
39s

Measured directly from 196 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 732 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 732 most recent posts we hold, published 6 August 2026 to 7 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

7 Sept 2026, 04:06 UTC≈3,310 viewsread 7 September 2026
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#柬埔寨就是要逼死大多数赌场 关于柬埔寨这次禁止赌场运营线上博彩,根本目的依然还是:逼更多赌场关闭、吊销。 前期,对于那些纵容、包庇电诈的赌场,当局已经揪出来一批给关停吊销了。现在,必须给赌场继续上发条,把赌场逼得更紧、逼上绝路。最后效果就是:一部分赌场被逼直接倒闭,一部分赌场继续搞网赌,然后被查处、吊销关闭。 柬埔寨的赌场太多了。官方要压缩规模。具体到西港,未来能有5家就算不错了。 #广告赞助商 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费‼️‼️‼️24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀实时返水5.0%秒到账,每日神秘彩金8888U 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩亿级域名|78.COM 🙂‍↕️😜😘🔤🔤😀🤩🔤🤩🤩🤩🌐:官

7 Sept 2026, 04:06 UTC≈3,540 viewsread 7 September 2026
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第一至第五名系我领取奖励 🥇周累计发言量第 1 名:380,000 Kbz 🥈周累计发言量第 2 名:230,000 Kbz 🥉周累计发言量第 3 名:160,000 Kbz 🏅周累计发言量第 4 名:120,000 Kbz 🏅周累计发言量第 5 名:100,000 Kbz 欢迎大家踊跃参加发言,刷屏一律视为放弃,无法领取奖励。 #广告赞助商 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费‼️‼️‼️24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀实时返水5.0%秒到账,每日神秘彩金8888U 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩亿级域名|78.COM 🙂‍↕️😜😘🔤🔤😀🤩🔤🤩🤩🤩🌐:官方U投网址: 000.com 😊🇭🇹⚡️⚡️⚡️⚡️⚡️

7 Sept 2026, 04:05 UTC478 viewsread 7 September 2026
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#群友投稿:这个地方叫新泰昌园区,在交克村,是缅东最黑的园区。我在2023年三月份去的老挝金三角,在特区待了半年,后面老板安排我去看人,相当于软禁…… 如果“张磊”看到希望能联系我,我想知道你到底知不知道大鑫是什么人,还把我介绍给他,我这两年受了太多的苦,差点死在里面,而且我叫了那么多人去缅甸,还有认识我的人。 我现在回国了,他们的家长天天去我家闹,他们也是花赔付出去的,我操你妈,不给我一个说法,我让你跑路了一百多,你就这样把我搞到东南亚最黑的地方,你个杂种有没有良心,还有提醒在“万象”的兄弟们,小心碰到这两个逼养的,在东南亚千万不要相信别人,这就是我的代价。 #广告赞助商 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费‼️‼️‼️24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【

7 Sept 2026, 04:05 UTC≈3,420 viewsread 7 September 2026
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🇲🇲缅甸小勐拉一女子从KTV高处坠亡,当地正调查死因及涉DU情况 9月5日晚10时许,缅甸掸邦东部小勐拉市中心一处娱乐场所发生坠亡事件。一名女子从Dongying Sports City Night Club / KTV高层坠下,最终死亡。 据《湄公河》援引当地消息人士称,死者生前疑曾大量使用DU品,并与一名中国籍男子发生争执,随后从高处坠落。 不过,这一说法目前仍属于现场消息,尚未得到官方最终确认。当地有关部门目前正在调查女子具体死因,并对其遗体进行检查。同时,执法人员也在进一步核查死者是否涉及DU品交易等情况。 #广告赞助商 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费‼️‼️‼️24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀😀😀😀😀😀😀😀😀😀😀

7 Sept 2026, 02:40 UTC≈2,930 viewsread 7 September 2026
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🔥 订阅【聚焦新闻】😊🇭🇹⚡️⚡️⚡️⚡️⚡️⚡️😐🦑 东南亚最知名【聚焦新闻】 每日最新生活资讯、狗推日记、行业新闻、吃瓜曝光、币圈资讯、突发事件、商业服务、资源对接...让您看尽东南亚大小事。 📣【聚焦新闻】向全网征集优质新闻一手原创内容,优质内容投稿通过奖励10~50U稿费! ✏️投稿格式如下: ⭐️文案+图片 内容逻辑清晰,内容通俗易懂! 别搞太复杂,我不想看,网友们也不想看,有趣劲爆原创的一手内容,编辑好发小编审核通过后奖励😀立即发放! 😍◈投稿小编: @agivip

6 Sept 2026, 14:32 UTC≈3,420 viewsread 7 September 2026
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两名中国人带16公斤金条准备经新加坡转香港,在机场被抓 9月5日,印度尼西亚北苏拉威西警方公布一起黄金走私案。两名中国公民携带16根金条准备从万鸦老出境,经新加坡转往香港,结果在萨姆·拉图兰吉国际机场被抓。 案件发生在9月4日。警方提前接到线索并在机场布控,两人的两只行李箱经过X光检查时被发现藏有黄金。16根金条总重约16公斤。 两名中国人代号XQI和XQU。调查发现,这批黄金没有合法手续,并被怀疑来自非法采矿。两人交代,他们受一名代号“H”的人员指使,负责将黄金带出印度尼西亚。 警方同时扣押护照、身份证件、万鸦老至新加坡及新加坡至香港的登机牌、5部手机、两只行李箱和500万印尼盾现金。两人目前已 #广告赞助商 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费‼️‼️‼️24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀

6 Sept 2026, 14:32 UTC≈3,560 viewsread 7 September 2026
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#网友投稿:Helloworld偷客户 我们公司大概使用 Helloworld 三年了。第一年使用的时候还好,没什么问题,公司每个月也都有大单。但是自从第二年、第三年开始,公司就陆续出现各种问题:成交客户莫名其妙消失,准备开的客户也突然拉黑 WhatsApp 号码。 一开始,我们也以为是我们账户或者客户那边的问题,也考虑过是不是我们聊天的时候出现了一些破绽。但是自从半年前开始,有一个首冲十万、并且感情非常好的客户,突然封锁掉我们的账户,而 Helloworld 也一直登录不了 WhatsApp。更奇怪的是,我们几百个 WhatsApp 账户,就只有那一个出现了问题。 于是,公司人员带着各种疑问寻找客户的联系方式。最后,历经千辛万苦,总算找到了客户使用的邮箱。我们告知客户情况后,客户也把事情的经过告诉了我们。 客户表示,在我们跟他说晚安之后,在我不经常上线的时间点,我给客户写了一封信息,告诉客户:“由于我的号码经常收到陌生

6 Sept 2026, 14:00 UTC≈2,460 viewsread 7 September 2026
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6 Sept 2026, 12:17 UTC≈2,010 viewsread 7 September 2026
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#台湾新闻 AI变声 + 恶毒虐待!台警破获史上最变态“爱情剥皮”黑产:业绩差罚“互舔肛门精液漱口”,5年狂敛9亿虐骗2万人! 台北讯 — 电影都不敢这么演!台北地检署日前侦结起诉一起轰动全台的“AI变声剥皮爱情诈骗案”。警方一举擒获以主谋黄建豪、许湘綺夫妻为首的57名诈骗集团恶徒。该团伙在短短不到5年时间里,疯狂收割逾2万名单身受害人,卷走高达9亿新台币(约合2.2亿港币)的血汗钱。更令人发指的是,该集团内部实施血腥极权的“变态魔鬼管理”,对业绩不达标的成员进行电击、强迫互舔下体甚至以精液漱口的极度虐待! 魔鬼主谋落网:主谋黄建豪被检方重磅求刑25年以上监禁,其妻许湘綺同样被求刑18年重刑。 AI科技沦为屠刀:黑产工程师专门研发“实时AI变声软件”(实时学习并复制女公关声纹),瞬间克隆性感女声,让无数无辜单身男惨沦“韭菜”。 地狱级惩罚机制:每月绩效考核犹如酷刑现场,业绩差者不仅会被电蚊拍狂电耳朵、舌头,还要被迫互舔性

6 Sept 2026, 12:16 UTC≈3,460 viewsread 7 September 2026
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#网友曝光 这个人之前在东风园区鸿升公司担任引流手、聊天手组长、总监,名字叫贪狼 在东风园区打击的时候跑出来到了阿波罗,在阿波罗名字叫超神。 然后搬到亚太跑路了,担任组长,名字换成沐川 再不处理,曝光家庭户口地址。 #广告赞助商 ⚡️兑换TXR 能量兑换 立省百分之80转账手续费‼️‼️‼️24小时自动U兑换TRX,1U起兑,🥱🥱 聚划算】官方大群:@TRXooooo1 【聚划算】自动兑换机器人:@jhstrxbot 😀😀😀😀😀😀【7T.COM】全球公认最稳!😀😀😀😀:【7T.COM】 😀😀😀😀😀😀😀😀😀😀😀😀😀实时返水5.0%秒到账,每日神秘彩金8888U 🤩🤩🤩🤩 🤩🤩🤩🤩🤩🤩亿级域名|78.COM 🙂‍↕️😜😘🔤🔤😀🤩🔤🤩🤩🤩🌐:官方U投网址: 000.com 😊🇭🇹⚡️⚡️⚡️⚡️⚡️⚡️😐🦑 😍◈投稿小编: @agivip 😍海外安危新闻: @JJZX03 😍发财内部交流群:@JJZX06

6 Sept 2026, 12:16 UTC≈3,380 viewsread 7 September 2026
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🇻🇳越南同塔省破获“假娘家”婚骗案:5人骗取中国男子2.8亿越南盾获刑 据越南媒体报道:9月4日,越南同塔省法院对一起以婚姻为名实施诈骗的案件作出一审判决。涉案5人通过安排“假新娘”“假岳母”和“假亲属”,骗取一名中国男子共计2.8亿越南盾(约合人民币8万元)。 主犯阮氏芳草,43岁,被判处9年6个月监禁;其丈夫阮黄英武被判处8年监禁;另外3名同伙分别被判处7年监禁。 据调查,2025年4月,阮氏芳草得知一名38岁的中国男子希望在越南寻找对象结婚后,利用自己会中文的优势,化名充当婚姻介绍人,并策划实施诈骗。 她找来19岁的阮玉草冒充“新娘”,让44岁的阮氏黄莺冒充“新娘母亲”,同时安排其他同伙扮演女方亲属。为营造真实场景,团伙还花费50万越南盾租下一处民宅,并临时布置成女方“娘家”。 2025年4月7日,中国男子与“新娘”在胡志明市见面,并同意结婚。4月10日,他被带到所谓的“女方娘家”与家人见面,并当场交出7000万

6 Sept 2026, 12:05 UTC≈3,240 viewsread 7 September 2026
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Showing the 12 most recent of 732 posts we hold for @JJZX03. 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 18 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.

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 5 September 2026 — this entry's latest reading, not the date you are reading this.

“🅥 海外安危新闻” (@JJZX03), 70,658 subscribers as measured 5 September 2026. Telegram Register, tgregister.com/channel/JJZX03.

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.