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Telegram profile photo for 东南亚大事件🦋

Channel

东南亚大事件🦋

@bx600

3 usernames

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

70,709subscribers

-142,827 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-1002107126760
TypeChannel
Usernames@bx600 @bx6690 @txxzz
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 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。 本频道谢绝任何政治敏感新闻,新闻仅供参考,无刻意引导~~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。 投稿爆料合作: @tx880
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held180
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/bx600

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 55% 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 9 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.

No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.

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
@djs12312 (8/8 hand-verifiable sample passed)0.8511 minutes@djs123 (8–4)
@xw183612 (8/8 hand-verifiable sample passed)0.883.0 hours@xw1836 (8–4)
@ton68911 (8/8 hand-verifiable sample passed)0.907 minutes@ton689 (10–1)
@t777779 (8/8 hand-verifiable sample passed)0.867 minutes@t77777 (7–2)
@dashijian9 (7/8 hand-verifiable sample passed)0.8638 minutes@dashijian (5–4)
@sililanka1889 (8/8 hand-verifiable sample passed)0.8711 minutes@sililanka188 (5–4)
@dongnanya_DJ7 (7/7 hand-verifiable sample passed)1.0010 hoursthis entry (7–0)
@aoao35 (5/5 hand-verifiable sample passed)0.877 minutes@aoao3 (4–1)
@le6785 (5/5 hand-verifiable sample passed)0.895 minutes@le678 (5–0)

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. 232 of the 232 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 2,126 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 keys clone_copy · clone_mutual · 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

70,709213,536142,122.57 August 202610 November 2026
180 measurements spanning 95 days, net -142,827. 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 49,285–234,960 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 180
Measured (UTC)SubscribersChange
10 Nov 2026, 20:0770,709-52
10 Nov 2026, 11:4970,761-15
10 Nov 2026, 08:5170,776-168
9 Nov 2026, 08:0970,944-67
9 Nov 2026, 01:0671,011-242
8 Nov 2026, 19:5771,253-349
7 Nov 2026, 22:1171,602-7
7 Nov 2026, 19:4471,609-15
7 Nov 2026, 15:0771,624-430
6 Nov 2026, 16:5972,054-38
6 Nov 2026, 15:5872,092no change
6 Nov 2026, 15:5772,092-392
5 Nov 2026, 16:2172,484-139
5 Nov 2026, 12:4972,623-8
5 Nov 2026, 12:3072,631-144
4 Nov 2026, 14:5972,775-1
4 Nov 2026, 14:0172,776no change
4 Nov 2026, 13:5572,776-404
3 Nov 2026, 14:3673,180no change
3 Nov 2026, 14:3473,180first reading

Engagement

2,576 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.426%
avg views ÷ 70,709 subscribers
Avg views / post
301
689 posts measured
Reaction rate
0.66%
reactions ÷ views · ER floor
Posts in window
689
of 2,576 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 300 of 689 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 held2,576 (7 August 2026 – 11 November 2026)
Views total207,523
Reactions total389
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:44 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
≈43,500
Videos
≈11,200
Links
≈13,000

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
6h 22m
Average length
1m 13s

Measured directly from 313 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

535 reactions across 418 posts, in 12 distinct kinds. The most used accounts for 15.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8415.7%
❤7413.8%
👏6612.3%
⚡5911.0%
🤩529.72%
😁519.53%
🔥509.35%
🥰499.16%
🎉427.85%
🍌61.12%
😡10.187%
🤣10.187%

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 443 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 535 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 2 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: 3 of 689 posts held from the last 30 days (0.435%) 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, 03:22 UTC31 viewsread 11 November 2026
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#群友投稿 条子已抵达金三角特外! 金三角特外和会塞已经来了很多老挝其他省份警察了,异地用警,马上要开展联合执法! 特外暂时是待不了,停工撤离! 3天一小差,5天一大查,回国吧~ 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 14:46 UTC202 viewsread 11 November 2026
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#群友反馈:西港日月兴赌场路段,宪兵设卡查车,查毒品,违禁作,吓得楼上的推推闻风而逃。 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 14:36 UTC193 viewsread 11 November 2026
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#老挝资讯:万象捣一网络犯罪窝点,抓获1名韩国籍嫌疑人! 老媒媒体11月10日报道:上周,老挝公安部专项工作组在万象市赛色塔县亮桑村一处出租屋,抓获1名韩国籍男子。 行动现场查获手机41部、笔记本电脑5台、iPad 8台等作案工具。 目前,案件正在进一步侦办中。 电信文脉在万象止步于此… 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 14:22 UTC188 viewsread 11 November 2026
Video

#老挝资讯:警方打掉万象网络犯罪窝点,抓获13名孟加拉籍嫌疑人! 老挝媒体报道:11月7日晚,老挝公安部专项工作组突袭万象市赛色塔县洪素帕村一处出租屋,成功打掉一处网络犯罪窝点,当场抓获13名孟加拉籍嫌疑人(含1名女性)。 行动现场查获手机21部、台式电脑12台等作案工具。 目前,案件正在进一步侦办深挖中。 PS:中国推推全军覆没 最近抓的都是老外 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 13:56 UTC175 viewsread 11 November 2026
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#南洋半生 如履薄冰半世行, 偏踏南洋万里程。 少时不懂人间苦, 半生漂泊异国城。 曾怀壮志闯南洋, 如今狗推话沧桑。 白日键盘敲梦想, 夜深孤枕伴愁肠。 一身疲惫无人问, 满嘴牛皮自己扛。 昨日还谈赚千万, 今朝又在找下家。 西装穿过几回旧, 业绩吹过几多场。 朋友圈里风光无限, 银行卡里略显凄凉。 缅甸风雨柬埔寨, 泰国越南又一场。 南洋走过千重路, 回头已是半生霜。 少年不知归家路, 中年方晓故乡长。 父母盼儿门前坐, 儿在异乡数月光。 若问此生何所获, 一身故事半身伤。 南洋已过半生路, 梦里依旧是故乡。 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 13:51 UTC159 viewsread 11 November 2026
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假冒陈珊珊发WhatsApp 开口要5万令吉 有不法分子冒用马华柔佛再也州议员陈珊珊的头像与身份,用新手机号注册WhatsApp账号行骗。 骗子先以企业扶持政策作为开场白,见对方不感兴趣,随即换借口,谎称要帮忙转交给领导的礼金,领导外出视察不便携带现金,哄骗对方转账5万令吉至AmBank账户,承诺之后会还钱。 陈珊珊接获朋友通知后,已在脸书发文提醒民众。这名朋友察觉异样,没有转账,没有造成财物损失。目前暂未收到其他人被骗的消息,骗子获取联系人信息的途径还不清楚。 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 13:41 UTC≈2,260 viewsread 11 November 2026
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#群友投稿:快到年底了,还在东南亚坚持的人,还有多少? 时间过得真快,感觉年初还没过去多久,转眼又到了年底。这一年,东南亚的变化确实不小。从柬埔寨到缅甸,从菲律宾到老挝,再到马来西亚,清查、整顿、突击行动接连不断,各个地方的风声一直很紧。 以前热闹的街道,如今冷清了不少;以前熟悉的市场,也没有了往日的景象。园区清零、人员撤离、公司没了,这些事情几乎成了这一年的常态。 一年的时间,说长不长,说短也不短。还在这里的人,或许已经习惯了这种环境,但外面的变化,谁也无法忽视。 岁月如梭,寒来暑往,一转眼又是一年。现在再问一句,东南亚还适合留下来吗? 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 13:27 UTC136 viewsread 11 November 2026
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金边-海口直飞航班下月开通 海南航空宣布,将于2026年12月12日正式开通海口至柬埔寨金边的直飞往返航线,每周二、四、六执飞3班。去程HU457于当地时间13:50从海口起飞,15:00抵达金边;回程HU458于16:05从金边起飞,19:20返回海口。 此外,柬埔寨航空已于10月10日恢复金边至三亚航线,柬埔寨国家航空也计划于12月新增金边往返海口及三亚航班。届时,海南与金边之间将有三家航司提供直飞服务,进一步便利两地商旅往来。 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 12:59 UTC≈2,070 viewsread 11 November 2026
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柬埔寨西港部分大型建筑停工、拆除,昔日繁华景象逐渐褪去。 近日,西哈努克城部分大型建筑已停止施工,部分建筑陆续被拆除。至于这些建筑后续将如何规划、是否会有新的项目进驻,目前尚不清楚。 曾经热闹的西港,如今不少区域显得格外冷清,大型建筑施工相继停摆,城市也逐渐恢复了往日难得的寂静。据悉,照片拍摄于西哈努克城 Chhneo Cheu Teal 路段。 西港的变化,或许只有亲眼见证过这里曾经繁华的人,才能真正感受到。 关注大事件频道⏩ @bx600 投稿:@tx880

10 Nov 2026, 12:46 UTC164 viewsread 11 November 2026
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#小姐姐投稿:在东南亚待久了,真的不敢再轻易相信爱情了。 说实话,在东南亚待了这么久,感情上真的越来越疲惫了。见过太多嘴上说爱你、转身却把你丢下的男人,也听过太多好听的承诺。 刚认识的时候,甜言蜜语说得比谁都好听,恨不得把全世界都给你。可真到了需要他承担责任、解决问题的时候,态度就完全变了。 以前觉得两个人在一起,最重要的是感情。现在才发现,有些男人只想享受你带来的温柔,却不愿意承担一丁点责任。 尤其是在东南亚这个环境里,认识一个人好像很容易,真正遇到一个靠谱的人却很难。 有人今天对你嘘寒问暖,明天就能跟别人暧昧;有人口口声声说会照顾你,可一旦遇到现实问题,第一反应不是怎么解决,而是先算算自己会不会吃亏。 感情里最让人心寒的,不是没钱,也不是日子过得苦,而是你以为自己找到了依靠,最后才发现,对方只是在权衡利弊。 其实,女孩子在外面打拼,真的没有想象中那么容易。白天要面对工作和生活的压力,晚上一个人回到房间,有时候连…

10 Nov 2026, 12:41 UTC154 viewsread 11 November 2026
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#马来西亚资讯:中国驻马大使姚文履新第9天:感受华社热情友好,称中马关系处于历史最好时期 新任中国驻马来西亚大使姚文履新第9天,表示抵马以来深切感受到当地华社的热情与友善,并形容双方语言相通、交流亲切,犹如家人般没有隔阂。 姚文于11月9日出席由马来西亚9家华社组织联合举办的履新欢迎晚宴时表示,自己抵马后工作十分繁忙,事务量远超此前在孟加拉担任大使期间,但当地华人的热情接待让他倍感温暖。 他指出,目前中马关系正处于历史最好时期。过去一年,中国国家领导人多次访问马来西亚,两国高层互动密切,充分体现双方深厚的友好关系。 姚文表示,很荣幸出任中国驻马来西亚大使,未来将积极推动两国在经贸、文化及其他领域的交流合作,进一步深化双边关系,为两国人民创造更多合作机会。 此次欢迎晚宴由马来西亚9家华社组织联合举办,出席者包括多名华团领袖、商界代表及社会各界人士。 马来西亚一中和平统一促进会会长古润金在致辞时表示,马来西亚华社拥有完善…

10 Nov 2026, 12:40 UTC138 viewsread 11 November 2026
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#印尼资讯:警方联手通讯部,加强打击跨国电诈及网络赌博 印尼国家警察总长苏尤迪·阿里奥·塞托(Suyudi Ario Seto)与通讯及数字事务部长梅蒂娅·哈菲德(Meutya Hafid)在雅加达举行会谈,双方决定加强执法协调,重点打击网络赌博、网络诈骗、爱情诈骗以及个人数据非法买卖等违法活动。 根据官方消息,双方将结合网络犯罪预防、数字安全教育及警方执法行动,加快处理民众举报,并加强对跨国犯罪网络的监管与打击。 印尼方面表示,网络犯罪已成为影响社会安全的重要问题,未来将进一步加强部门间合作,切断犯罪团伙利用互联网实施诈骗及非法赌博活动的渠道,防止更多民众受害。 关注大事件频道⏩ @bx600 投稿:@tx880

Showing the 12 most recent of 2,576 posts we hold for @bx600. 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件🦋” (@bx600), 70,709 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/bx600.

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.