#驻马大使姚文:创造更多共赢机遇 中马关系达历史新高度 (吉隆坡8日讯)中国驻马来西亚新任大使姚文出席马中友好协会欢迎晚宴并发言。他表示,中方将依托高质量发展与高水平开放,为马来西亚等亚太国家创造更多合作共赢机遇;在两国领导人战略引领下,当前中马关系已达到历史新高。他指出,马中关系根基在民间、动力来自人民友好,肯定马中友好协会长期在促进两国人文往来上的贡献。 马中友好协会会长拿督马吉德欢迎姚文履新,称马中关系日趋成熟,双方可持续挖掘合作空间。他提出,经贸合作固然重要,人文交流、民众相互理解同样不可或缺;要传承先辈建立的友好情谊,面向青年群体,通过学生交流、实习、奖学金、技术培训、联合科研、创业赛事、文化活动、青年领导力对话等方式,持续巩固双边友好纽带。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu

Channel
东南亚大事件
@misscs
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry
23,946subscribers
-7,753 since we began measuring on 17 September 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1003452235350 |
|---|---|
| Type | Channel |
| 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 |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 17 September 2026 |
| Last confirmed live | 8 November 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 8 November 2026 |
| On Telegram | t.me/misscs |
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 4 October 2026 and assigned it the closest of 31 fixed categories, at 66% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Nov 2026, 09:46 | 23,946 | -1,495 |
| 7 Nov 2026, 05:27 | 25,441 | -953 |
| 6 Nov 2026, 05:40 | 26,394 | -1,939 |
| 5 Nov 2026, 03:26 | 28,333 | -528 |
| 4 Nov 2026, 04:36 | 28,861 | -721 |
| 3 Nov 2026, 02:57 | 29,582 | -515 |
| 2 Nov 2026, 05:37 | 30,097 | -64 |
| 1 Nov 2026, 07:05 | 30,161 | -138 |
| 31 Oct 2026, 10:10 | 30,299 | -129 |
| 30 Oct 2026, 08:37 | 30,428 | -137 |
| 29 Oct 2026, 09:08 | 30,565 | +4 |
| 28 Oct 2026, 04:19 | 30,561 | +7 |
| 27 Oct 2026, 02:28 | 30,554 | +2 |
| 26 Oct 2026, 05:16 | 30,552 | +28 |
| 25 Oct 2026, 02:30 | 30,524 | +8 |
| 24 Oct 2026, 01:46 | 30,516 | -45 |
| 22 Oct 2026, 23:08 | 30,561 | -490 |
| 21 Oct 2026, 21:17 | 31,051 | -606 |
| 20 Oct 2026, 16:01 | 31,657 | +333 |
| 19 Oct 2026, 15:27 | 31,324 | first reading |
Engagement
603 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 122 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.91%
- avg views ÷ 23,946 subscribers
- Avg views / post
- 457
- 324 posts measured
- Reaction rate
- 0.209%
- reactions ÷ views · ER floor
- Posts in window
- 324
- of 603 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 5 of 324 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 November 2026 |
|---|---|
| Posts held | 603 (16 September 2026 – 8 November 2026) |
| Views total | 148,001 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 19:40 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
- ≈1,660
- Videos
- ≈195
- Links
- ≈7
Lifetime counters from Telegram’s own channel header, read 8 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 54m
- Average length
- 1m 29s
Measured directly from 77 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
31 reactions across 26 posts, in 3 distinct kinds. The most used accounts for 61.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 19 | 61.3% | |
| ❤ | 10 | 32.3% | |
| 🔥 | 2 | 6.45% |
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 28 of the 603 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 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 603 most recent posts we hold, published 16 September 2026 to 8 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 324 posts held from the last 30 days (0.926%) 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).
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柬埔寨遣返163名中国籍人员,涉及网络诈骗及非法务工等违法行为 柬埔寨移民总局近日通报,当局已将163名中国籍人员驱逐出境,其中包括5名女性。 据悉,这批人员涉及非法居留、非法务工、非法越境及网络诈骗等问题。此次行动由柬埔寨移民总局联合中国驻柬埔寨大使馆执行,163人随后通过德崇国际机场搭乘专机离境。 柬埔寨当局表示,未来将继续加强执法力度,严厉打击网络诈骗及跨境犯罪活动,并协助遭诈骗团伙诱骗、控制的受害者脱困及安全返国。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu
#马来西亚资讯:多地发布雷暴及强降雨预警,12州及多个联邦直辖区受影响! 11月8日,马来西亚气象局(MetMalaysia)发布最新短时天气警告,提醒全国多个地区即将出现雷暴、强降雨及强风天气,受影响范围涉及多个州属及联邦直辖区,部分地区的恶劣天气预计持续至当天傍晚6时。 根据气象局公布的信息,受影响地区包括雪兰莪、槟城、森美兰、马六甲、吉打、霹雳、吉兰丹、彭亨、柔佛,以及沙巴和砂拉越部分地区,同时涉及吉隆坡、布城及纳闽等联邦直辖区。 气象部门提醒,雷暴天气可能伴随短时强降雨及阵风,部分地区还可能出现道路积水、交通受阻等情况。 气象局呼吁当地民众密切关注最新天气预报,雷雨期间尽量减少户外活动,驾车出行注意路面湿滑及积水,提前做好防范措施。 PS:恶劣天气,行动减少了🤣 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu
斯里兰卡警方突查一家酒店,32名中国人因涉嫌网络金融诈骗接受调查! 11月6日至7日,斯里兰卡警方对位于帕纳杜拉(Panadura)纳洛鲁瓦(Nalloruwa)地区的一家酒店展开突击检查,现场发现32名中国籍人员,并查扣23台电脑及其他电子设备。 据了解,帕纳杜拉警区高级警司此前接获情报,称有一批中国籍人员涉嫌从事非法网络金融活动。警方随后展开初步调查,并取得帕纳杜拉地方法院签发的搜查令,对涉事酒店进行检查。 此次行动由当地刑事调查部门联合斯里兰卡刑事调查局(CID)、警察特别任务部队(STF)及其他相关部门共同执行。 警方目前正在调查这32名中国籍人员是否涉及网络金融诈骗,并检查查扣的电脑及电子设备是否被用于犯罪活动。 相关设备已移交帕纳杜拉南警察局,案件由刑事调查局继续调查。 斯里兰卡警方表示,近期已发现多起外国人涉嫌利用酒店、宾馆及度假村等住宿场所从事金融诈骗的案件,并提醒酒店经营者加强留意住客的可疑活动。 …
柬埔寨国家艾滋病管理局辟谣:不存在艾滋病疫情暴发 今天,柬埔寨国家艾滋病管理局发布通告,驳斥近期社交媒体上关于“柬埔寨艾滋病疫情再度暴发”的传言。通告指出,根据卫生部监测与评估系统数据,柬埔寨并未出现艾滋病暴发情况,网传消息纯属虚假信息。 数据显示,柬埔寨防艾工作成效显著,每年新增感染病例已从上世纪90年代的1.7万至2.5万例,大幅下降至2025年的960例。 目前,柬埔寨已实现“89-100-98”的阶段性防治成果,感染者可享受终身免费治疗。当局呼吁高危人群(尤其是年轻男同性恋群体)积极前往医疗机构检测,或扫码免费申领自检试剂盒。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu
#缅甸资讯:妙瓦底网络诈骗园区救出1名印度籍受害者,另有21名乌干达公民获救等待遣返 11月8日,缅甸克伦邦妙瓦底一处网络诈骗园区内,一名遭人口贩卖和强迫劳动的印度籍男子 Anmol Senchewry 成功获救,但因遭受殴打导致手臂骨折、头部受伤及多处伤势,目前正在印度新德里医院接受治疗。 据悉,该男子此前通过网络应聘呼叫中心工作,8月22日前往泰国后,被中介人员带至缅甸并转交诈骗团伙,期间每天被迫工作17至18小时,护照和SIM卡遭扣押,团伙还向其索要60万印度卢比赎金。 在家属向印度议员及外交部门求助后,印度驻缅甸使馆与缅甸相关部门展开协调,最终成功营救该男子,并经泰国转送回印度,于10月29日抵达新德里。 与此同时,乌干达政府宣布,已成功营救21名在缅甸网络诈骗园区遭人口贩卖和强迫劳动的乌干达公民,目前正与缅甸方面进行最后阶段的协调,计划于下周安排他们从仰光启程回国。 乌干达政府表示,受害者大多是被高薪工作诱骗…
#国内资讯:江苏男子直播间投资尾货被骗17万元,警方追查牵出百万元诈骗案 11月7日,江苏连云港灌南县警方侦破一起网络投资诈骗案。一名男子通过直播间虚构库存尾货投资项目,先以小额返利取得信任,再诱骗受害人追加资金。警方进一步调查发现,该案涉及全国多地7名受害人,累计被骗100余万元。 4月21日,灌南县居民鲍某在直播间看到主播高某招募小商品库存尾货投资合伙人,宣称投资少、回报快。鲍某先投入少量资金并顺利收到返利,随后不断追加投资,累计转账17万余元。 当鲍某要求返利时,高某以商家未发货、尚未结算等理由拖延,随后将其拉黑。警方接报后抓获高某,但高某拒绝交代犯罪事实。 办案民警通过银行流水及聊天记录发现,鲍某的投资款并未用于商品经营,而是被转入第三方账户,部分资金流向网络赌博。 警方随后扩大调查,在浙江、安徽、河南等地又找到6名受害人,查明高某骗取的100余万元均被用于网络赌博或变现。 目前,高某已被灌南县检察院依法批准…
#马来西亚资讯:吉隆坡移民局突袭酒店卖淫窝点,8人被捕,涉6名外国女子 11月7日报道,马来西亚吉隆坡移民局展开突击行动,捣毁一家三星级酒店内涉嫌经营卖淫活动的窝点,现场逮捕8人,包括6名外国女子及2名男子。 行动于11月7日凌晨1时05分展开,地点位于吉隆坡 Jalan Cheras 一家三星级酒店。移民局根据情报展开突击检查,发现多名外国女子涉嫌利用酒店房间向顾客提供性服务,另有房间疑似被用作等待顾客的场所。 初步调查显示,涉案人员涉嫌通过社交媒体应用程序发布色情服务广告,每名顾客需支付约200至230令吉,相关交易则由一名本地男子负责安排。 此次行动共逮捕8人,包括5名印尼籍女子、1名泰国籍女子、1名马来西亚籍男子及1名尼泊尔籍男子。 其中,一名21岁的印尼籍女子向执法人员表示,自己于今年4月持旅游准证入境马来西亚,并通过朋友介绍在当地工作。 移民局初步调查发现,部分外国人士涉嫌逾期逗留及滥用准证条件。目前,所…
#菲律宾新闻 帕赛市警方联合社区力量开展防绑架及安全防范宣讲活动 2026年11月7日上午7时25分许,菲律宾帕赛市警察局(Pasay CPS)第4分局在辖区内组织开展了一场以预防绑架为核心的法治宣传与安全防范活动。 本次活动在帕赛市第130社区D·豪尔赫街(D. Jorge Street)沿线的中央公园公寓(Central Park Condominium)展开。活动在帕赛市警局代理局长罗伯特·罗德拉斯·巴埃萨(Robert Rodelas Baesa)警监的统筹部署,以及第4分局代理局长亚历山大·A·马卡鲁奈(Alexander A. Macarunay)警尉的现场督导下,由第4分局警官埃德里斯·安克拉(Edris Ancla)与金伯利·米利塔尔(Kimberly Militar)协同社区安保人员等“力量倍增器”(Force Multipliers)共同推进。 针对近期公众关注的出行及生活安全问题,警方将重点放在了“反…
#马来西亚资讯:吉隆坡移民局突袭酒店卖淫窝点,8人被捕,涉6名外国女子 11月7日报道,马来西亚吉隆坡移民局展开突击行动,捣毁一家三星级酒店内涉嫌经营卖淫活动的窝点,现场逮捕8人,包括6名外国女子及2名男子。 行动于11月7日凌晨1时05分展开,地点位于吉隆坡 Jalan Cheras 一家三星级酒店。移民局根据情报展开突击检查,发现多名外国女子涉嫌利用酒店房间向顾客提供性服务,另有房间疑似被用作等待顾客的场所。 初步调查显示,涉案人员涉嫌通过社交媒体应用程序发布色情服务广告,每名顾客需支付约200至230令吉,相关交易则由一名本地男子负责安排。 此次行动共逮捕8人,包括5名印尼籍女子、1名泰国籍女子、1名马来西亚籍男子及1名尼泊尔籍男子。 其中,一名21岁的印尼籍女子向执法人员表示,自己于今年4月持旅游准证入境马来西亚,并通过朋友介绍在当地工作。 移民局初步调查发现,部分外国人士涉嫌逾期逗留及滥用准证条件。目前,所…
过去16个月,柬埔寨打诈主要成果 打击窝点与立案:清查972处可疑地点,向法院移交568起刑事案件。 人员逮捕与遣返:逮捕并提控5,032名嫌疑人;依法遣返来自38个国家和地区的23,760名外籍人员。 资产冻结与查扣:冻结银行账户资金超3亿美元,查扣价值数亿美元的动产及不动产。 ➡️关注大事件频道: @misscs ➡️投稿:@Xiao_laoliu
Showing the 12 most recent of 603 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.
Posts recorded as deleted after publishing
We recorded 20 posts on @misscs as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
- First seen missing
- 25 October 2026
- Most recent seen missing
- 8 November 2026
- Median time before seen missing
- 15 hours
- Seen missing in the last 30 days
- 20
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.
Names
Channels on the register whose handles appear in this channel's posts.
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 8 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件” (@misscs), 23,946 subscribers as measured 8 November 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.