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Channel

东南亚大事件

@misscs

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

31,739subscribers

+40 since we began measuring on 17 September 2026

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

Register entry

Telegram ID-1003452235350
TypeChannel
Username@misscs
Description🌏 深耕东南亚资讯与热点动态 📰 每日分享一手消息 · 大事件速递 🤝 资源共享|社群交流|合作共赢 专注价值,不做无效信息。 📩 TG: @Xiao_laoliu 💣曝光: @xdeix
CreatedBetween 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded17 September 2026
Last confirmed live26 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/misscs

Growth

31,69931,89431,796.517 September 2026 — 31,699 subscribers17 September 2026 — 31,699 subscribers19 September 2026 — 31,894 subscribers26 September 2026 — 31,739 subscribers31,73917 September 202626 September 2026
4 measurements spanning 9 days, net +40. 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 31,670–31,923 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Sept 2026, 19:5831,739-155
19 Sept 2026, 15:1931,894+195
17 Sept 2026, 12:2231,699no change
17 Sept 2026, 11:4731,699first reading

Engagement

130 posts held, back to 16 September 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 18 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.12%
avg views ÷ 31,739 subscribers
Avg views / post
674
130 posts measured
Reaction rate
0.161%
reactions ÷ views · ER floor
Posts in window
130
of 130 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 8 of 130 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 held130 (16 September 2026 – 27 September 2026)
Views total87,563
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 08:46 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
938
Videos
126
Links
1

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. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
26m 12s
Average length
1m 15s

Measured directly from 21 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

9 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 88.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍888.9%
❤111.1%

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 8 of the 130 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 130 most recent posts we hold, published 16 September 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, 08:44 UTC47 viewsread 27 September 2026
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🇹🇭曼谷的洪水,有点大… 据曼谷市政府防灾减灾指挥部通报,当地时间9月26日,曼谷市长差察·西迪汶宣布,曼谷全市50个区全部划为洪水灾区。 近48小时持续强降雨造成曼谷大范围内涝、交通中断,部分路段积水严重。当局开放学校等场所作为临时避难所,加紧排水、分发沙袋开展救灾工作。 泰国气象部门预警,曼谷及周边区域仍有强降雨,需要防范山洪、滑坡风险。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

27 Sept 2026, 07:58 UTC658 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, 06:43 UTC719 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, 05:46 UTC676 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。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

27 Sept 2026, 05:08 UTC848 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。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

27 Sept 2026, 03:59 UTC708 viewsread 27 September 2026
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中行万事达卡疑遭大规模盗刷 用户紧急锁卡 9 月 26 日,多名用户在社交媒体爆料称,中行万事达卡疑似遭大规模境外盗刷。有用户半夜收到 Apple Pay 主卡失效通知,卡被锁并出现一笔巴西账单,实体卡从未带出门使用。信息泄露以英镑卡较多,也有美元卡。 疑似因发卡行发卡逻辑和万事网联鉴权存在问题导致盗刷事件发生。去年 9 月浦发银行万事达卡也发生过类似事件,同样涉及 Apple Pay 绑定卡与巴西等拉美货币。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

26 Sept 2026, 15:21 UTC588 viewsread 27 September 2026
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#泰国新闻 当局无力应对年年洪灾,民众只剩祈祷 曼谷因暴雨持续,多地年年反复发生内涝,但相关负责人未能采取有效防范措施,民众的不满与失望情绪不断高涨。 目前,包括拉差达披色路、明武里、Lat Krabang 及东部路段在内的超过15个地点发生内涝,车辆通行几乎瘫痪,交通仍十分困难。 “如果当局已无力防范年年遭遇的洪灾,那留给民众的就只剩祈祷了。”民众的这类批评声音,再次凸显了城市管理和排水系统的薄弱。 菩萨 : 我要是有这个能力保佑你们,我就不用被泡在水里了。😭 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

26 Sept 2026, 13:49 UTC741 viewsread 26 September 2026
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🇨🇳🇲🇲中缅联合打击电诈:佤邦向中方移交64名涉案人员 近日,依据中缅双边司法警务合作协议,佤邦司法委与中方执法部门在云南孟连勐阿口岸完成新一批涉诈涉案人员移交,共向中方移交64人(含63名中国籍电诈犯罪嫌疑人及1名涉案人员),并同步移交案卷证据与作案工具。 据悉,该批人员此前从其他境外地区流窜至佤邦企图重操旧业。佤邦警方在锁定窝点后展开突击抓捕并成功铲除数个涉诈窝点。目前,案件正由中方有关部门依法进一步侦办。 兜兜转转,曲线回国~~ ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

26 Sept 2026, 13:11 UTC732 viewsread 26 September 2026
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菲律宾赌场升级“AI智能赌桌”:中国游客,会不会成为下一批“精准收割”对象? PAGCOR正研究强制推动全国赌场及综合度假村采用AI智能赌桌,官方说法是加强监管,让监管部门可以实时掌握赌场里的每一笔投注的结果。 这些做法,正在触碰甚至改变正规赌博最核心的底层逻辑:输赢尚未揭晓之前,任何人都不应该知道结果会是什么,在破坏博彩的不可控与随机性。 当一张赌桌可以记录你下注多少、下注频率、下注习惯、提前预测输赢情况,甚至进一步结合会员系统和玩家身份、国籍信息时,这到底只是“监管”,还是赌场数字化运营的开始? 未来如果再叠加AI、人脸识别等技术,赌场理论上可以进一步建立更加完整的玩家画像:谁进来了 → 玩什么 → 下多少 → 输多少 → 玩多久 → 什么情况下继续下注。 再加上市场上一直存在争议的所谓“黑盒子”等技术传闻,一个更加刺激的结果就出现了:人脸识别负责“认人”,智能赌桌负责“记账”,AI负责“分析”,玩家数据负责“画像…

26 Sept 2026, 12:02 UTC814 viewsread 26 September 2026
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🇲🇴花旗下调澳门9月赌收预测至180亿澳门元 称高端中场赌台调查结果为近年最差之一 花旗(花旗集团)发表研究报告指,澳门9月首20日博彩毛收入约122亿澳门元,日均收入约6.1亿澳门元。期内贵宾厅投注额按月下跌约15%至18%,中场博彩收入按月减少约13%至16%。 该行指出,澳门博彩市况或较预期更为疲弱,审慎将9月博彩毛收入预测由190亿澳门元下调至180亿澳门元。按最新估算,澳门第三季博彩毛收入料按年下跌4%。花旗形容,9月澳门高端中场赌台调查结果,是近年最差之一。 报告提到,据该行观察,澳门赌场投注气氛普遍较三个月前世界杯揭幕时冷清。现阶段暂无法确定市况走弱的原因,难以判断是玩家消费意愿下降,还是调查时机因素造成。 Ps:疲软了 都没钱了… ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

26 Sept 2026, 10:46 UTC743 viewsread 26 September 2026
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北京时间明天(9月26日)中午 12 点,Bybit 恢复提现! ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

26 Sept 2026, 09:43 UTC727 viewsread 26 September 2026
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柬埔寨劳工证办理出新规 据可靠消息源反馈:自明天起,所有办劳工证者必须要去自己居住地的警察局,开一份居住证明,然后拿原件才可以安排办理劳工证。如若没有,需多加110$作为处理费用。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

Showing the 12 most recent of 130 posts we hold for @misscs. 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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“东南亚大事件” (@misscs), 31,739 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/misscs.

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.