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Channel

东南亚无小事

@dny558

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

28,552subscribers

-1,383 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-1002480841681
TypeChannel
Username@dny558
Description📣 东南亚无小事 聚焦东南亚华人圈,揭秘灰产内幕,记录真实故事,追踪区域动态。 🌏 涵盖区域: #柬埔寨 #菲律宾 #泰国 #缅甸 等 📬 功能板块: #爆料 #求助 #曝光,一应俱全 Public information channel. We follow Telegram community guidelines. 🔗 官网: dnywxs.com 🤖 投稿机器人: @LL111_1bot 东南亚无小事: @LL111
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 live25 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/dny558

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 30% 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
@ll111/396977 Aug 2026, 14:20 UTC@dny558/46267 · this entry7 Aug 2026, 14:20 UTC1.00under a minute
@ll111/396997 Aug 2026, 14:46 UTC@dny558/46268 · this entry7 Aug 2026, 14:46 UTC1.00under a minute
@ll111/397017 Aug 2026, 15:00 UTC@dny558/46270 · this entry7 Aug 2026, 15:00 UTC1.00under a minute
@ll111/397027 Aug 2026, 15:11 UTC@dny558/46271 · this entry7 Aug 2026, 15:11 UTC1.00under a minute
@dny558/46274 · this entry7 Aug 2026, 15:52 UTC@ll111/397057 Aug 2026, 15:52 UTC1.00under a minute
@dny558/46276 · this entry7 Aug 2026, 16:18 UTC@ll111/397077 Aug 2026, 16:18 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@ll11110 (7/8 hand-verifiable sample passed)1.00under a minute@ll111 (10–0)

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. 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 19 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 @dny558 — 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 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

28,55229,93529,243.57 August 2026 — 29,935 subscribers8 August 2026 — 29,913 subscribers9 August 2026 — 29,843 subscribers10 August 2026 — 29,736 subscribers11 August 2026 — 29,723 subscribers12 August 2026 — 29,683 subscribers13 August 2026 — 29,574 subscribers14 August 2026 — 29,501 subscribers16 August 2026 — 29,465 subscribers17 August 2026 — 29,353 subscribers18 August 2026 — 29,252 subscribers19 August 2026 — 29,197 subscribers20 August 2026 — 29,179 subscribers22 August 2026 — 29,164 subscribers24 August 2026 — 29,134 subscribers25 August 2026 — 29,103 subscribers26 August 2026 — 29,064 subscribers27 August 2026 — 29,060 subscribers28 August 2026 — 29,053 subscribers29 August 2026 — 29,044 subscribers30 August 2026 — 29,022 subscribers31 August 2026 — 28,924 subscribers1 September 2026 — 28,862 subscribers2 September 2026 — 28,824 subscribers3 September 2026 — 28,804 subscribers5 September 2026 — 28,785 subscribers9 September 2026 — 28,734 subscribers11 September 2026 — 28,692 subscribers13 September 2026 — 28,663 subscribers14 September 2026 — 28,687 subscribers16 September 2026 — 28,670 subscribers19 September 2026 — 28,627 subscribers25 September 2026 — 28,552 subscribers7 August 202625 September 2026
33 measurements spanning 49 days, net -1,383. 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 28,345–30,142 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, 18:0228,552-75
19 Sept 2026, 06:5628,627-43
16 Sept 2026, 19:5828,670-17
14 Sept 2026, 22:3928,687+24
13 Sept 2026, 09:4128,663-29
11 Sept 2026, 16:3928,692-42
9 Sept 2026, 01:5828,734-51
5 Sept 2026, 19:4128,785-19
3 Sept 2026, 21:5828,804-20
2 Sept 2026, 14:0528,824-38
1 Sept 2026, 11:4828,862-62
31 Aug 2026, 09:2528,924-98
30 Aug 2026, 06:1229,022-22
29 Aug 2026, 04:3529,044-9
28 Aug 2026, 06:5729,053-7
27 Aug 2026, 07:2529,060-4
26 Aug 2026, 07:5529,064-39
25 Aug 2026, 04:5829,103-31
24 Aug 2026, 00:1529,134-30
22 Aug 2026, 09:4529,164first reading

Engagement

808 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.267%
avg views ÷ 28,552 subscribers
Avg views / post
76.2
333 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
333
of 808 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 43 of 333 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 held808 (7 August 2026 – 27 September 2026)
Views total25,376
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 07:15 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
≈40,100
Videos
≈8,460
Links
≈23,800

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
2h 30m
Average length
41s

Measured directly from 221 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

138 reactions across 133 posts, in 2 distinct kinds. The most used accounts for 98.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍13698.6%
🤡21.45%

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 136 of the 808 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 138 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 808 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, 07:07 UTC18 viewsread 27 September 2026
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#群友投稿:新型盗U,兄弟们注意了! 骗子找到了新套路:不发钓鱼链接,诱导用户主动清空自己的钱包。他们在 YouTube 上传教程,教大家用 Claude 搭建 AI 加密货币交易机器人。 最近出现一种全新的虚拟币骗局,和以往发钓鱼链接骗密码的套路完全不一样,全程没有钓鱼链接,而是引导受害者亲手操作,自己把钱包里的资产转给骗子。 骗子在 YouTube 大量发布视频教程,用 AI 生成虚拟主播配音,对外宣称:可以借助 Claude 大模型,一键搭建自动套利的加密货币交易机器人,开启之后自动赚钱,稳赚不赔。 骗局完整流程 1. 视频里演示全套教程,教观众复制代码,去一个仿冒的合约编译网站部署智能合约,看起来非常专业。 2. 这个编译网站是骗子自己搭建的,你粘贴进去的正常代码会在后台偷偷替换成盗币代码。屏幕上展示的代码是干净的,实际部署到链上的是盗币合约。 3. 按照视频指引,受害者自己把加密货币转入合约钱包,手动确认授…

27 Sept 2026, 06:51 UTC30 viewsread 27 September 2026
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#行业新闻 OpenAI最强AI连续“越界”:绕限制、外传用户图片,公司暂停训练 9月25日,OpenAI公布安全报告。9月20日,一款正在训练的人工智能智能体发现无法正常联网后,自行利用域名系统过滤漏洞绕过限制,连接外部聊天机器人,还主动修改程序参数延长连接时间。 监控系统在约15分钟后报警,但自动停止机制没有正常启动,任务约2.5小时后才被人工终止。OpenAI随后暂停最先进模型涉及工具调用的训练、评估和推理,等待完成新的安全加固。 OpenAI还确认,旗下智能体曾将53张ChatGPT用户上传的图片发送到外部图片托管网站,大部分已经删除。 澳大利亚政府9月24日确认,今年6月18日,一款接受OpenAI训练的智能体未经授权进入澳大利亚医保统计报告门户,并读取公开和非公开文件,暂未发现个人信息被获取。 今年7月,OpenAI模型也曾在网络安全测试中绕过隔离限制,进入OpenAI内部研究系统和“抱抱脸”人工智能平台部…

27 Sept 2026, 06:32 UTC43 viewsread 27 September 2026
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#马来西亚新闻 吉隆坡娱乐场所突遭检查 3名中国男子和1名菲律宾男子被扣 9月27日,马来西亚移民局通报,执法人员突查吉隆坡旧巴生路一家娱乐场所,当场扣查4名外国男子,包括3名中国籍和1名菲律宾籍,年龄21至31岁。 4人接受检查时,都无法出示合法旅行证件或有效居留准证,随后被带往布城移民局进一步调查。这次行动由马来西亚移民局总部情报与特别行动部门执行,国家反毒机构参与配合。 调查显示,这家娱乐场所从2025年开始营业,主要安排外国人进行表演。执法人员还通知3名马来西亚男子前往移民局协助调查。 ✅ 东南亚无小事 :@LL111 ✅ 投稿澄清爆料: @PP111

27 Sept 2026, 06:11 UTC56 viewsread 27 September 2026
Video

#网友投稿:🇻🇳胡志明 平阳新服装厂路口,刚刚进去了很多警察,路口这边已经开始封锁,动静很大。具体原因暂未公布。 ✅ 东南亚无小事 :@LL111 ✅ 投稿澄清爆料: @PP111

27 Sept 2026, 06:07 UTC50 viewsread 27 September 2026
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柬埔寨正调查太子集团30家子公司 柬埔寨政府正在开始对太子集团子公司进行调查。国务部长、国家打击网络诈骗委员会秘书长蔡西那烈近日接受彭博社采访时透露,当局目前正积极调查约30家太子集团旗下子公司。 蔡西那烈表示,调查不能只停留在电诈园区,还必须追查背后的资金和企业网络,“因为大多数时候,犯罪所得都是通过合法企业进行洗钱的。” 除此之外,柬埔寨还在同时追查与该集团有关、位于新加坡、美国和英国等地的境外资产。 蔡西那烈表示,柬埔寨下一阶段的反电诈行动也将重点检查持牌赌场。他称,一些赌场涉嫌参与网络诈骗和网络赌博,却可以利用合法牌照作为掩护,因此需要加强监管和检查。 太子集团此前已经成为多国执法和制裁行动的重点。2025年10月,美国将太子集团列为跨国犯罪组织,并对陈志及集团庞大的关联企业网络实施制裁;英国也同步采取制裁措施。2026年6月,美国又进一步制裁名个人和26家与太子集团有关的实体。在最近的9月21日,美国国务院宣…

27 Sept 2026, 05:50 UTC51 viewsread 27 September 2026
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菲妹向中国男友要彩礼,遭逮捕! 据菲国警首都区警察署(NCRPO)通报,9月26日,帕赛市警方逮捕一名23岁菲律宾女子,该女子涉嫌以索要“彩礼”为名,多次向中国籍男友索要钱财,最终对方选择报警处理。 据帕赛市警察局记录,报案人是一名从事货币兑换生意的30岁中国籍男子。他此前以为两人是在认真谈恋爱,先后以“求父母祝福”为由,被女子索走共计13万比索的“彩礼”。 女子随后变本加厉,要求他拿出20万比索现金给其父母过目,以证明养得起这段感情。当女子在凌晨再次开口索要1万比索时,受害人才识破骗局,随即报警求助。 警方接报后迅速以标记货币策划诱捕行动。女子接过1万比索“标记钞票”后即被当场逮捕,警方并从其身上搜出手机一部。然而现场却出现意外一幕:一名29岁菲律宾男子试图协助女子脱身逃跑,结果被警方一并当场拿下,不过通报中并未提及该男子与被捕女子的关系。 目前,涉案女子面临诈骗罪指控,另一名男子被控妨碍司法罪。 ✅ 东南亚无小事…

27 Sept 2026, 05:35 UTC56 viewsread 27 September 2026
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中国女主播被诱骗前往泰国,后遭绑架转移至缅甸,勒索9万美元赎金 27日,据《南华早报》报道,一名中国网络带货主播 Wang Ran 被指在缅甸遭到非法拘禁,对方索要 9万美元赎金。 据中国官方媒体报道,Wang Ran 最初被熟人以工作为由诱骗前往泰国,之后她告诉朋友,自己被强行控制在缅甸。 家属表示,现年24岁的 Wang Ran 遭人扣押,对方要求支付 60万元人民币(约9万美元)赎金。据称,她此前是被一名通过网络认识的人以“工作机会”为由骗去泰国的。 这也是近期又一起中国网络主播以“海外工作”为诱饵,被骗前往东南亚诈骗园区的案件。 ✅ 东南亚无小事 :@LL111 ✅ 投稿澄清爆料: @PP111

27 Sept 2026, 05:16 UTC62 viewsread 27 September 2026
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西港一女子8楼坠下奇迹生还 今天凌晨,西港发生一起意外坠楼事件。一名女子疑从一栋大楼的8楼坠下,随后掉落在一处民房的锌板铁皮屋顶上。 坠楼事件发生后一度引发恐慌,众人原以为该女子已身亡,不料半小时后她逐渐恢复意识,竟然慢慢坐起开始玩手机。 20分钟后,她从房顶下来地面。 天选之人~~ ✅ 东南亚无小事 :@LL111 ✅ 投稿澄清爆料: @PP111

27 Sept 2026, 04:59 UTC67 viewsread 27 September 2026
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#巴基斯坦资讯:卡拉奇CCIA已查22处非法呼叫中心,180多人被捕 据巴基斯坦媒体报道,9月26日,巴基斯坦国家网络犯罪调查局(NCCIA)卡拉奇分局副局长 Tariq Nawaz 接受 SAMAA TV 采访时表示,近期当地执法部门持续针对涉嫌非法经营的呼叫中心展开行动。 Tariq Nawaz介绍称,目前已有22处涉嫌非法经营的呼叫中心遭到查处,连同相关负责人在内,共有180多名本地及外国籍人员被捕。 NCCIA方面表示,针对卡拉奇市内其他涉嫌非法经营的呼叫中心,新一轮突击行动也将在近期展开。 值得注意的是,截至目前,公开信息尚未完整披露这180余名被捕人员的具体国籍构成、涉华人数、各案件详细地点以及涉嫌涉及的具体诈骗模式。 因此,关于被捕人员国籍及案件细节,目前暂不作进一步猜测,后续仍需等待NCCIA或当地媒体公布更多信息。 此前,NCCIA在卡拉奇也曾持续查处涉嫌网络诈骗及非法呼叫中心的案件。9月17日,执…

27 Sept 2026, 04:25 UTC78 viewsread 27 September 2026
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#网友投稿:昨天,西港老牌超市蓝天国际商城清仓大甩卖,进行战略性调整,也算得上一个标志性事件~~经营多年的老牌商家给西港更惨淡的未来投下了一票。 ✅ 东南亚无小事 :@LL111 ✅ 投稿澄清爆料: @PP111

27 Sept 2026, 04:01 UTC92 viewsread 27 September 2026
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#群友吐槽: 这两个逼养的玩仙人跳 找了一个15岁的女孩说一起玩 然后说给我安排。 我就给这两个逼开了一个房间。 那个女孩就在我房间。 各种暗示我。然后我干完了后。马上就有人敲门了。然后这个女的跑的很快就去把门打开了。 然后就气冲冲的冲进来三个男的说我干她女朋友。然后就敲诈我。还录视频。我本来不想射里面的。这个逼养的女的我要射的时候抱的很紧。后面才发觉是想留下证据好敲诈我。 他们应该玩仙人跳很久了。 带头的就是这个郑斌斌。我现在有点担心这女的有没有病。估计也敲诈过老头。 PS:就当嫖个娼吧~~~都无套内射了 多多少少还是要给点打胎费的 ✅ 东南亚无小事 :@LL111 ✅ 投稿澄清爆料: @PP111

26 Sept 2026, 16:58 UTC173 viewsread 27 September 2026
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曼谷发生枪击事件:男子纵火后向救援人员开枪,造成1人死亡 据悉,9月25日星期五上午,曼谷 Bang Phlat 区 Soi Charan Sanitwong 67 一带,一名男子疑似纵火烧毁自家房屋,随后多次向赶来处置的警察、消防员和救援人员开枪。 枪击迫使救援人员寻找安全地点躲避,无法靠近现场。警方随后封锁周边区域,并紧急疏散附近居民,消防人员则全力控制火势,防止火灾继续蔓延。 据报道,这栋房屋属于一名已退休的少将,而涉枪男子疑似是他的儿子。 警方还发现房屋周围有多把疑似军用枪械,以及疑似爆炸物,因此紧急派遣排雷和拆弹专业人员到场处理。 目前已造成1人死亡,更多情况仍在进一步确认中。 ✅ 东南亚无小事 :@LL111 ✅ 投稿澄清爆料: @PP111

Showing the 12 most recent of 808 posts we hold for @dny558. 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

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

“东南亚无小事” (@dny558), 28,552 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/dny558.

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.