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Channel

东南亚头条·大事件

@bx6680

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

26,936subscribers

-4,560 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-1001327697162
TypeChannel
Username@bx6680
Description🌍 联盟导航 @LM667788 💎 投稿 / 商务合作 @yh184 🌏 聚焦东南亚新闻|热点事件🔥|曝光📢|吃瓜🍿|悬赏💎 每日更新: • ⚡️ 突发事件|局势动态|社会生活资讯 • 👀 华人关注|娱乐趣闻|曝光事件|悬赏信息 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。 ⚠️本频道工作人员不会主动私聊任何飞机用户⚠️
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 October 2026
Measurements held56
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.me/bx6680

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 63% 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.

Growth

24,71736,71130,7147 August 2026 — 31,496 subscribers7 August 2026 — 31,460 subscribers8 August 2026 — 30,716 subscribers9 August 2026 — 30,329 subscribers10 August 2026 — 29,906 subscribers11 August 2026 — 30,090 subscribers12 August 2026 — 30,346 subscribers13 August 2026 — 28,285 subscribers14 August 2026 — 28,072 subscribers16 August 2026 — 27,494 subscribers17 August 2026 — 27,285 subscribers18 August 2026 — 26,188 subscribers19 August 2026 — 25,911 subscribers20 August 2026 — 25,798 subscribers21 August 2026 — 26,574 subscribers22 August 2026 — 33,970 subscribers24 August 2026 — 36,711 subscribers25 August 2026 — 36,329 subscribers26 August 2026 — 36,025 subscribers27 August 2026 — 35,857 subscribers28 August 2026 — 35,683 subscribers29 August 2026 — 35,302 subscribers30 August 2026 — 34,981 subscribers31 August 2026 — 34,825 subscribers1 September 2026 — 34,721 subscribers2 September 2026 — 34,504 subscribers3 September 2026 — 33,285 subscribers5 September 2026 — 32,862 subscribers8 September 2026 — 34,217 subscribers11 September 2026 — 33,528 subscribers13 September 2026 — 32,944 subscribers15 September 2026 — 32,661 subscribers16 September 2026 — 32,449 subscribers19 September 2026 — 31,132 subscribers25 September 2026 — 27,762 subscribers4 October 2026 — 27,106 subscribers8 October 2026 — 25,800 subscribers13 October 2026 — 24,717 subscribers14 October 2026 — 29,240 subscribers15 October 2026 — 28,943 subscribers16 October 2026 — 28,653 subscribers17 October 2026 — 28,197 subscribers18 October 2026 — 28,033 subscribers19 October 2026 — 27,780 subscribers20 October 2026 — 27,529 subscribers21 October 2026 — 27,215 subscribers22 October 2026 — 26,835 subscribers23 October 2026 — 26,490 subscribers24 October 2026 — 27,574 subscribers25 October 2026 — 27,377 subscribers26 October 2026 — 27,322 subscribers27 October 2026 — 27,310 subscribers28 October 2026 — 27,231 subscribers29 October 2026 — 27,064 subscribers31 October 2026 — 26,980 subscribers31 October 2026 — 26,936 subscribers26,9367 August 202631 October 2026
56 measurements spanning 86 days, net -4,560. 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 22,918–38,510 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
31 Oct 2026, 21:5526,936-44
31 Oct 2026, 01:1926,980-84
29 Oct 2026, 22:4627,064-167
28 Oct 2026, 22:2027,231-79
27 Oct 2026, 19:0927,310-12
26 Oct 2026, 17:3927,322-55
25 Oct 2026, 17:2727,377-197
24 Oct 2026, 17:2727,574+1,084
23 Oct 2026, 20:3526,490-345
22 Oct 2026, 19:3726,835-380
21 Oct 2026, 12:2827,215-314
20 Oct 2026, 09:4927,529-251
19 Oct 2026, 12:5527,780-253
18 Oct 2026, 15:2628,033-164
17 Oct 2026, 14:0928,197-456
16 Oct 2026, 11:5628,653-290
15 Oct 2026, 14:0028,943-297
14 Oct 2026, 12:5829,240+4,523
13 Oct 2026, 01:3724,717-1,083
8 Oct 2026, 18:1925,800first reading

Engagement

1,695 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 150 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.44%
avg views ÷ 26,936 subscribers
Avg views / post
1,730
664 posts measured
Reaction rate
0.047%
reactions ÷ views · ER floor
Posts in window
664
of 1,695 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 21 of 664 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 1 November 2026
Posts held1,695 (7 August 2026 – 1 November 2026)
Views total1,151,682
Reactions total16
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Nov 2026, 03:32 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
≈27,200
Videos
≈4,430
Links
≈579

Lifetime counters from Telegram’s own channel header, read 1 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
1h 35m
Average length
35s

Measured directly from 164 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

20 reactions across 20 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1260.0%
❤840.0%

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 25 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 20 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 September 2026 to 1 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

1 Nov 2026, 03:29 UTC2 viewsread 1 November 2026
Photo

习近平最新致信洪森,强调中柬关系发展 中国国家主席、中央委员会总书记习近平近日致信柬埔寨参议院主席洪森,对洪森此前致信祝贺中华人民共和国成立77周年表示感谢,并表示愿继续与洪森保持战略沟通,推动新时代中柬全天候命运共同体建设不断取得新进展。 据柬埔寨方面公布的消息,习近平的这封信于2026年10月20日从北京发出。 习近平在信中表示,衷心感谢洪森在中华人民共和国成立77周年之际,向他致以诚挚的节日祝贺。 习近平指出,中国高度重视发展中柬关系,愿继续与洪森保持战略沟通,弘扬两国传统友谊,推动新时代中柬全天候命运共同体建设取得新的进展,促进两国现代化建设,为两国人民带来更多福祉。 习近平在信中写道: “我高度重视中柬关系发展,愿同洪森亲王继续保持战略沟通,弘扬传统友谊,推动新时代中柬全天候命运共同体建设不断取得新进展,促进两国现代化建设,更好造福两国人民。” 信件最后,习近平祝愿洪森身体健康,在崇高事业中不断取得新的成…

1 Nov 2026, 03:26 UTC6 viewsread 1 November 2026
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粉丝曝光: #宁继伟 这个人是鸭脖公司搞诈骗的技术人员,图4是他的工资收入,图8是他打野的宾馆,信息都已经发出来了,中国警方👮可以直接抓人了,他的上级领导就先不发出来,希望他的上级领导教教他做人,目前这个人应该去了在马来西亚。 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

1 Nov 2026, 03:24 UTC≈1,160 viewsread 1 November 2026
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#网友曝光:吉隆坡卖逼货,中午找我做护照,然后说困死了我让你休息去吧,老子下午忙时间没回信息,tm的在群里乱jb说老子骗你钱,我他妈想骗你钱早把你拉黑了,11:30分沟通完,1点开始消息轰炸,问问怎么还没有好我他妈又在忙没有看到他的消息3:00就直接去别人群里面曝光说我骗他钱,做护照不要时间,一下没回信息跟你妈死了一样,吸毒吸傻了吧,你妈个逼的我骗你妈个逼的我骗你去卖你妈个逼吧这吉隆坡死在那里吧,老子在国内帮你报警,让你照片和护照全东南亚飞 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

1 Nov 2026, 03:09 UTC≈1,710 viewsread 1 November 2026
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#国际新闻 法国数十万人抗议生活成本 万圣节变装上街 法国10月31日有数十万人走上街头,抗议生活成本飙涨与警察暴力。适逢万圣节,部分示威者打扮成小丑、女巫等造型参与抗议,巴黎等多个城市警方施放催泪瓦斯,并与示威者爆发冲突。这是法国连续第3个周末出现全国性抗议,过程大致和平,但当天下午稍晚多座城市情势升温。 巴黎市郊游行队伍抵达终点时,警方与部分示威者爆发冲突,数十名身穿黑衣的蒙面人士用铁锤撬起铺路石朝警方投掷,安全部队也遭投掷至少一枚燃烧装置及一枚汽油弹,警方以催泪瓦斯回应并数度持警棍冲锋驱散人群。巴黎警察局表示,游行队伍后方有数百名强硬核心分子投掷物品攻击警方,其中包括一枚汽油弹。在里昂,有人向警方投掷物品,促使员警发射催泪瓦斯;在土鲁斯,警方动用水砲驱散数千人参与的一场未经许可抗议。 当局指出,全法共有约32万人参与集会,其中巴黎占7万人;青年组织则表示,全国近50万人走上街头,单单巴黎就有20万人。参与游行的包括自…

1 Nov 2026, 02:36 UTC≈1,700 viewsread 1 November 2026
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#国际新闻 波兰总理图斯克指控反对派企图破坏民主与法治 波兰总理图斯克31日就持续进行的宪政危机发表演说,指控保守派民族主义反对党领袖意图“破坏民主与法治”。他表示,多年来波兰一直存在想要破坏民主与法治的组织和政治人物。图斯克发表谈话前一天,警方曾介入宪法法院现场,当时右翼法律正义党的支持者发起抗议,反对宪法法院院长斯维奇科夫斯基遭停职。 宪法法院官方X帐号发文将政府此举形容为“政变”。部分示威者在法院外高喊“图斯克是叛徒”,并试图冲破维安路障,警方表示有3人遭到逮捕。图斯克将昨天的动乱称为“骇人听闻”,并表示希望波兰不会再出现类似场面。 图斯克政府数周来一直试图逼退宪法法院法官,这些法官由2015年至2023年执政的前法律正义党政府任命。宪法法院经常做出有利于波兰国内立法而非欧盟法律的判决,欧盟则指控波兰最高法院与当时的民族主义执政当局关系过于密切。 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 …

1 Nov 2026, 02:06 UTC≈1,720 viewsread 1 November 2026
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#网友投稿 我朋友,做正规生意的,被误抓进去,这群狗现在还开价5千才能出,我朋友已经被打的快死了,这群狗就是要榨干中国人最后一滴血,西港的兄弟还是撤吧,这群狗又继续敲诈中国人了,大家尽快离开西港。 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

1 Nov 2026, 02:04 UTC≈1,720 viewsread 1 November 2026
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#国际新闻 美国电影制作人讲述奥列什基情况 美国电影制作人扎里娜·扎布里斯基过去三年一直在乌克兰控制的赫尔松、第聂伯罗河对岸生活并进行报道。她向法国24台的加文·李讲述了过去24小时的事件。 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

1 Nov 2026, 01:52 UTC≈1,720 viewsread 1 November 2026
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币圈新闻:2026年加密行业损失达 92 亿美元创纪录 据 The Defiant 报道,区块链安全审计机构 CertiK 的实时数据看板显示,2026 年加密行业因黑客攻击、合约漏洞、钓鱼盗币等安全事件累计损失达到创纪录的92亿美元。 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

1 Nov 2026, 01:23 UTC≈1,710 viewsread 1 November 2026
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#国际新闻 FBI指朝鲜黑客组织盗取币安约63亿美元虚拟资产 美国联邦调查局表示,朝鲜黑客组织TraderTraitor与币安约63亿美元虚拟资产盗窃案有关。该组织去年还从加密货币交易所Bybit盗走15亿美元资产。 调查发现,该组织正将盗取资产转换为以太币,并预计其接下来将利用去中心化金融平台和即时兑换服务转换这些资产。FBI要求相关机构封锁相关交易,防止黑客通过洗钱掩盖资金来源。 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

31 Oct 2026, 15:16 UTC584 viewsread 31 October 2026
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#网友曝光:真实姓名:黄超 外号:阿良 湖南人 此人真的是脸皮都不要了 ,头一回见欠钱的装犊子的。没钱的时候管吃管住。没钱借钱,趁老子不注意把老子手机都拿去抵押了去打牌。玩的是真尼玛的花,钱输完了,人跑了,现在跑到缅甸去干资金盘,一点小钱无所谓。要不要都行,丑陋的嘴脸必须让兄弟们看看,别死在缅甸 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

31 Oct 2026, 15:00 UTC≈1,010 viewsread 31 October 2026
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#国际新闻 美国俄勒冈州两架直升机相撞致三人死亡 美国俄勒冈州两架直升机在空中相撞后坠毁,造成三人死亡,附近一条公路一度关闭。事故于29日下午约2点15分发生在俄勒冈州西北部麦克明维尔市立机场附近,两架直升机相撞后坠落在机场附近一处私人农田。当地警方表示,22岁飞行教练玛迪·阿斯博事发时与一名来自英国的学员飞行员同乘一架直升机;38岁的泰勒·斯特德万特则独自驾驶另一架直升机。 三人均在事故中死亡。现场画面显示,其中一架红色直升机严重损毁,残骸散落在地;另一架绿色直升机倒扣在农田。涉事直升机型号分别为罗宾逊R-22和空中巴士AS350。 一名目击者告诉当地媒体,事发时他正在家族经营的葡萄园,听到巨响后抬头看到两架直升机在空中相撞,随即拨打紧急热线报警。美国联邦航空管理局表示,国家运输安全委员会将主导事故调查,联邦航空管理局也会参与。联邦调查人员已于昨晚抵达现场展开调查。 ✅ 东南亚头条 @bx6680 🌐 联盟导航 @L…

31 Oct 2026, 14:49 UTC≈1,010 viewsread 31 October 2026
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#泰国资讯:曼谷突袭SIMBOX诈骗窝点!2名中国籍男子被捕,涉案诈骗金额逾9.4万泰铢 10月30日,泰国第一警区警方联合廊曼警署展开突击行动,前往曼谷廊曼区一处日租公寓进行搜查,现场抓获2名中国籍男子,并在房间天花板内发现隐藏的SIMBOX设备。 警方调查发现,该设备疑似被用于网络诈骗活动。涉案团伙涉嫌冒充电信运营商工作人员,谎称受害者身份信息遭盗用办理非法电话卡,随后将电话转接给冒充警察的同伙,以涉嫌洗钱为由恐吓受害者,诱骗其转账。 据警方掌握的信息,相关诈骗案件累计造成受害者损失约94,022泰铢。 此次行动中,警方共查获2台SIMBOX设备、无线路由器、无线信号放大器、监控摄像头及其他通讯配件。 被捕的两名中国籍男子否认参与诈骗活动,并声称并不清楚房间天花板内藏有相关设备。目前,警方已依法对两人提出涉及未经许可持有、使用及设置无线电通讯设备等相关指控。 警方表示,案件仍在进一步调查中,后续将通过指纹、DNA…

Showing the 12 most recent of 1,695 posts we hold for @bx6680. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 12 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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“东南亚头条·大事件” (@bx6680), 26,936 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/bx6680.

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.