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Channel

东南亚大事件 东南亚新闻 柬埔寨新闻 马达加斯加

@PP430

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

191,547subscribers

-7,464 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001797144885
TypeChannel
Username@PP430
Description#柬埔寨 #老挝 #缅甸 #泰国 #迪拜 #菲律宾 #斯里兰卡 #东南亚交流群 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。 避免我们的评论区火药味变得更重。本频道鼓励尊重友好的交流方式,进一步发表有意义的评论内容。 本频道工作人员不会主动私聊任何飞机用户! 投稿爆料: @SN777 机器人投稿: @pp430_01bot
CreatedBetween 1 January 2022 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/PP430

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 8 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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 in near-verbatim form on 3 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
@PP430/27396 · this entry15 Sept 2026, 12:30 UTC@xgsj9/512704 Oct 2026, 14:00 UTC1.0019 days
@PP430/26383 · this entry1 Sept 2026, 17:16 UTC@xgsj9/491251 Sept 2026, 17:16 UTC0.96under a minute
@PP430/25112 · this entry16 Aug 2026, 15:21 UTC@xgsj9/4794616 Aug 2026, 15:21 UTC0.95under a minute
@PP430/31293 · this entry8 Nov 2026, 12:49 UTC@xgsj9/534198 Nov 2026, 12:49 UTC0.93under a minute
@PP430/26205 · this entry30 Aug 2026, 13:27 UTC@xgsj9/4896330 Aug 2026, 13:27 UTC0.92under a minute
@PP430/25852 · this entry26 Aug 2026, 08:09 UTC@xgsj9/4865426 Aug 2026, 08:10 UTC0.90under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@xgsj911 (8/8 hand-verifiable sample passed)0.93under a minutethis entry (11–0)
@PP41811 (8/8 hand-verifiable sample passed)0.90under a minutethis entry (9–2)
@xigang3156 (6/6 hand-verifiable sample passed)0.93under a minutethis entry (6–0)

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. 2 of the 2 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 2,108 comparable posts for this entry, running 7 August 2026 to 10 November 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).

Recorded under the key clone_source, last confirmed 11 November 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.

Growth

182,149199,011190,580191,5477 August 202610 November 2026
64 measurements spanning 95 days, net -7,464. 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 179,620–201,540 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 12:56191,547+2,010
8 Nov 2026, 22:09189,537+897
7 Nov 2026, 12:38188,640+929
6 Nov 2026, 09:29187,711+975
5 Nov 2026, 10:59186,736+1,008
4 Nov 2026, 12:28185,728+972
3 Nov 2026, 11:01184,756-38
2 Nov 2026, 08:40184,794-57
1 Nov 2026, 10:48184,851-334
31 Oct 2026, 13:35185,185-131
30 Oct 2026, 10:48185,316+404
29 Oct 2026, 09:16184,912-123
28 Oct 2026, 07:45185,035+210
27 Oct 2026, 08:09184,825-59
26 Oct 2026, 11:40184,884+186
25 Oct 2026, 10:28184,698-434
24 Oct 2026, 13:16185,132+1,198
23 Oct 2026, 13:19183,934-120
22 Oct 2026, 15:16184,054+187
21 Oct 2026, 11:15183,867first reading

Engagement

2,453 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 196 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.01%
avg views ÷ 191,547 subscribers
Avg views / post
3,850
742 posts measured
Reaction rate
0.021%
reactions ÷ views · ER floor
Posts in window
742
of 2,453 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 236 of 742 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 11 November 2026
Posts held2,453 (7 August 2026 – 11 November 2026)
Views total2,857,582
Reactions total196
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 14:44 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
≈24,200
Videos
≈5,990
Links
≈2,880

Lifetime counters from Telegram’s own channel header, read 11 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
4h 45m
Average length
1m 22s

Measured directly from 209 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

301 reactions across 232 posts, in 7 distinct kinds. The most used accounts for 82.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤24882.4%
👍154.98%
😍144.65%
🔥134.32%
🎉92.99%
🍾10.332%
🖕10.332%

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 349 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 301 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 3 October 2026 to 11 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: 9 of 742 posts held from the last 30 days (1.21%) 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).

11 Nov 2026, 14:30 UTC≈4,010 views1 reactionsread 11 November 2026
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11 Nov 2026, 14:16 UTC≈4,150 views0 reactionsread 11 November 2026
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#网友投稿:此路不通!现在想从缅甸走小路回中国,真没那么容易了。 上个星期三,我们老大硬塞了一个人情单,要把一个从缅甸腊戌出发的人,通过边境小路送回中国。老大也是个明事理、懂时局的人,只交代我们尽力而为,能把人安全送过去最好。 经过三天在边境徘徊、观察和等待,到了星期六,我们自认为准备得差不多了,便安排两名缅甸边境原住民带人正式出发。 没想到,出发不到五个小时,整队人就失联了。起初我们并不意外,但超过十二个小时仍联系不上,基本判断这次走小路回中国失败了,很可能已经被抓。 说说现在中缅边境走小路的情况。以我七年的带队经验来看,从中国走小路进入缅甸,成功率不到25%;从缅甸走小路回中国,成功率更是不足15%。这些只是我个人的经验判断。 嘿嘿,情况就是这么个情况。不是夸,也不是吹,中国边防武警的人员素质和装备水平确实很强。我认为,他们能不能抓到偷渡人员,很多时候不是能力问题,而是想不想抓的问题。 干了七年这一行,我越来越觉…

11 Nov 2026, 14:00 UTC≈4,210 views1 reactionsread 11 November 2026
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🤩🤩🤩🤩🤩🤩 东南亚大事件上押❤️❤️❤️⚡️❤️ 【51U集团|代理双享模式重磅来袭】 诚邀各位精英加入、强强联合共赢未来! 😀净盈利分红 + 流水返佣 1️⃣ 流水返佣最高 1%|1人起 2️⃣ 净盈利分红最高 55%|3人起 ⚡️ 新人专属福利 🤩 注册免充值即送 51U【可提现】:@TG51U 👍 🤩 新人首存50U送18U 最高赠送18888U 🤩 PG电子返水全网最高起步 🤩🤩🤩🤩🤩 🤩 会员秒提款,代理秒结账 🤩🤩🤩🤩🤩:@DL51U 🤩🤩🤩🤩🤩:@KF51U 🤩🤩🤩🤩🤩:@GF51U 🤩🤩🤩🤩🤩: 51U.COM

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11 Nov 2026, 13:57 UTC≈4,200 views1 reactionsread 11 November 2026
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#老外投稿:几年前,我和朋友去普吉岛度假。我之前去过泰国,自认为对那里的夜生活有所了解。 我还特意叮嘱朋友,不要在酒吧里爱上哪个女孩,因为我知道,这样很容易就会失去理智。 旅行开始几天后,我的朋友就迷上了酒吧里的一个女孩。她还有一个比较害羞的泰国朋友,我姑且叫她 Mint 吧。Mint 一开始并不是我喜欢的类型,但和她相处了几个晚上后,我开始对她产生好感。 很快,我们几乎每天都形影不离。我们一起去海滩、外出吃饭,在我的酒店看电影,她几乎每天晚上都陪着我。她告诉我,她讨厌在酒吧工作,想好好学习,以后找份更好的工作。 旅行结束时,我已经爱上了她。她告诉我她爱我,我也回应了她。两个月后,我又回到了普吉岛。接下来的一年里,我去了好几次,因为我想见她。 奇怪的是,她从来没向我要过每月的生活费。我觉得这是个好兆头,因为我总是把她和那些向我要钱的女孩的故事做比较。 然后,一天晚上,她打电话告诉我,她怀孕了。 距离我上次见到她已经…

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11 Nov 2026, 13:35 UTC≈4,300 views1 reactionsread 11 November 2026
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#泰国资讯:芭提雅抓获一名中国籍通缉犯!涉嫌开设赌场,持国际刑警蓝色通报 11月10日,据泰国媒体报道,泰国移民警察接获中国方面提供的线索后,经过约12小时追踪调查,在春武里府芭提雅成功抓获一名37岁中国籍男子。该男子因涉嫌开设赌场,已被中国警方通缉,并被国际刑警组织发布蓝色通报。 此次抓捕行动由中国驻泰国大使馆提供线索,泰国移民局高层统一指挥,特别调查组负责实施。泰方接获信息后迅速展开调查,经过约12小时追踪,最终锁定该男子在芭提雅的藏匿地点,并于11月10日凌晨将其成功抓获。 行动中,警方现场核验其护照及身份信息,确认与中国方面提供的通缉资料一致。随后,泰国移民部门依据相关法律撤销其居留许可,并将其认定为不符合在泰居留条件的人员。 目前,该男子已被移送至泰国移民拘留中心,泰方正与中方协调后续遣返及相关法律程序,准备将其送回中国接受进一步调查和处理。 ➡️东南亚大事件:@PP430 ➡️投稿澄清爆料:@SN777

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11 Nov 2026, 13:30 UTC≈4,310 viewsread 11 November 2026
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☺️😗😒😒实力看得见,承诺摆台面 😕😟😕🙁 🇻🇪 上亿级 稀缺域名 品牌有实力,信誉100%。 🇻🇪 30种活动持续加码 新人、返水、救援、红包等福利,还有超级大奖1982年拉菲 🇻🇪 新人充值三连送 最高送5️⃣8️⃣8️⃣8️⃣🔤 🤩👿😈👽😯😴🤧🇼🇫 🇨🇦 UU彩票 · PC28 · 超高赔 🐊 UU捕鱼 ·鳄鱼大亨 ·熔岩秘境 ① 官方原厂游戏 ② 1:1还原真实机台 有实力,才有底气;敢投入,更敢承诺。 😀😃😄😆🥰 82.com 🤣🥹😤🙁😢 @KF82 😢☹️😏😢🥵 @DL82COM ☹️😭🙁🙁😶‍🌫️ @TG82 ⬅️

11 Nov 2026, 13:14 UTC≈4,330 views2 reactionsread 11 November 2026
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#网友投稿:在印尼的朋友注意了,近期移民局一直查证。昨天晚上移民局又过来查证件,前晚上也是。最近连着抽查三次了。 ➡️东南亚大事件:@PP430 ➡️投稿澄清爆料:@SN777

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11 Nov 2026, 12:36 UTC≈4,460 views2 reactionsread 11 November 2026
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#网友投稿:缅甸最近暴雨太多,都淹了不少地方,敲键盘都敲不了,搭建的窝棚都被淹了,太心酸了😭 ➡️东南亚大事件:@PP430 ➡️投稿澄清爆料:@SN777

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11 Nov 2026, 12:30 UTC≈4,420 views1 reactionsread 11 November 2026
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11 Nov 2026, 12:12 UTC≈4,430 views2 reactionsread 11 November 2026
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金边波森芷区现多处赌博窝点 民众呼吁当局及时取缔 进入11月以来,金边市波森芷区已出现至少3处赌博窝点,其他区域亦存在大量类似场所。民众对此深表忧虑,纷纷呼吁执法部门及时采取行动予以严厉打击和取缔。 发布该消息的柬埔寨媒体同时声明,此次报道严格遵循新闻职业操守,仅旨在客观反映社会现状,绝无煽动或针对任何个人及机构之意图。 ➡️东南亚大事件:@PP430 ➡️投稿澄清爆料:@SN777

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11 Nov 2026, 12:00 UTC≈4,400 views1 reactionsread 11 November 2026
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11 Nov 2026, 11:49 UTC≈4,410 views1 reactionsread 11 November 2026
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FATF更新反洗钱名单:柬埔寨继续豁免,越老仍处灰名单 金融行动特别工作组(FATF)于10月30日更新全球反洗钱监管名单,自2023年2月正式移出“灰名单”后,柬埔寨此次继续未被列入该加强监控名单。 在周边国家方面,老挝和越南仍处于“灰名单”中,需进一步完善反洗钱及打击恐怖主义融资体系。FATF特别敦促越南加快改革步伐,若在下次全体会议前未取得实质性改善,可能考虑采取进一步措施。 与此同时,缅甸继续与朝鲜、伊朗一同被列入最高风险类别,即“呼吁采取行动的高风险司法管辖区”。 ➡️东南亚大事件:@PP430 ➡️投稿澄清爆料:@SN777

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Showing the 12 most recent of 2,453 posts we hold for @PP430. 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 10 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件 东南亚新闻 柬埔寨新闻 马达加斯加” (@PP430), 191,547 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/PP430.

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.