币安失窃63亿U 大表哥前后对比照 一夜之间白了头… 东南亚新闻大事件频道👇 https://t.me/MLXYXWDSJ ✉️ 投稿: @KLDSJ007

Channel
东南亚新闻大事件
@MLXYXWDSJ
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry
9,725subscribers
-7,306 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003722337484 |
|---|---|
| Type | Channel |
| Username | @MLXYXWDSJ |
| Description | 东南亚新闻大事件: @MLXYXWDSJ 要点资讯,安危事件,曝光爆料,时事新闻,社会热点推送。 本频道谢绝任何政治敏感新闻,新闻仅供参考,无刻意引导~~ |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 54 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/MLXYXWDSJ |
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 10 September 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 |
|---|---|---|
| 3 Nov 2026, 14:25 | 9,725 | -196 |
| 31 Oct 2026, 12:31 | 9,921 | -191 |
| 30 Oct 2026, 10:57 | 10,112 | -170 |
| 29 Oct 2026, 13:01 | 10,282 | -199 |
| 28 Oct 2026, 12:59 | 10,481 | -170 |
| 27 Oct 2026, 13:05 | 10,651 | -131 |
| 26 Oct 2026, 11:46 | 10,782 | -234 |
| 25 Oct 2026, 09:10 | 11,016 | -101 |
| 24 Oct 2026, 10:16 | 11,117 | -211 |
| 23 Oct 2026, 08:46 | 11,328 | -144 |
| 22 Oct 2026, 06:40 | 11,472 | -237 |
| 21 Oct 2026, 01:50 | 11,709 | -245 |
| 19 Oct 2026, 22:35 | 11,954 | -77 |
| 18 Oct 2026, 21:16 | 12,031 | -208 |
| 17 Oct 2026, 18:57 | 12,239 | -100 |
| 16 Oct 2026, 20:39 | 12,339 | -120 |
| 15 Oct 2026, 20:45 | 12,459 | -72 |
| 14 Oct 2026, 23:31 | 12,531 | -213 |
| 13 Oct 2026, 13:42 | 12,744 | -5,254 |
| 9 Oct 2026, 12:22 | 17,998 | first reading |
Engagement
276 posts held, back to 6 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 61 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.2%
- avg views ÷ 9,725 subscribers
- Avg views / post
- 1,390
- 25 posts measured
- Reaction rate
- 0.066%
- reactions ÷ views · ER floor
- Posts in window
- 25
- of 276 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 15 of 25 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 5 November 2026 |
|---|---|
| Posts held | 276 (6 August 2026 – 5 November 2026) |
| Views total | 34,629 |
| Reactions total | 15 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 21:13 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
- ≈1,570
- Videos
- ≈465
- Links
- ≈1,390
Lifetime counters from Telegram’s own channel header, read 5 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
- 57m 09s
- Average length
- 39s
Measured directly from 87 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
228 reactions across 135 posts, in 7 distinct kinds. The most used accounts for 92.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 211 | 92.5% | |
| 👍 | 9 | 3.95% | |
| 🙏 | 3 | 1.32% | |
| 👏 | 2 | 0.877% | |
| 😁 | 1 | 0.439% | |
| 😢 | 1 | 0.439% | |
| 🥰 | 1 | 0.439% |
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 188 of the 276 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 228 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 276 most recent posts we hold, published 6 August 2026 to 5 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: 0 of 25 posts held from the last 30 days (0%) 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).
😄😄😄😄😄 #马来西亚资讯:内长:逾1.8万人坠金融诈骗陷阱 10年损失高达12.3亿 内政部长拿督斯里赛夫丁指出,从2016年至今年8月,全国共有1万8213人沦为金融诈骗案受害者,损失总额高达12亿3000万令吉。 他昨日以国会书面回答行动党峇吉里区国会议员林冠英的提问时说,根据警方记录,当局在同一时期也针对相关罪行共提出1754项控状。 “国家诈骗应对中心于2022年10月12日开始运作至今年8月,当局已成功向受害者归还总额1401万令吉的款项。 “今年首8个月,当局共扣押914万令吉的涉案款项,其中667万令吉已归还受害者。” 他说,政府继续加强国家诈骗应对中心的运作,包括提供24小时运作的997诈骗举报热线。 他表示,警方也加强情报调查及金融鉴证分析,包括追查资金流向、侦破钱骡账户网络、展开联合执法行动,以及针对诈骗集团展开逮捕行动。 赛夫丁指出,政府通过落实刑事法典第424A至424D条文,加强打击滥…
😄😄😄😄 木牌昨天又抓人了! 据柴桢省副省长孟英昨晚透露,昨天,柴桢省联合执法工作组继续突击搜查位于巴域的涉诈窝点,又查获了多名涉诈人员。 目前,具体行动详情暂时未正式对外发布! 东南亚新闻大事件频道👇 https://t.me/MLXYXWDSJ ✉️ 投稿: @KLDSJ007
😄😄😄😄 执法视频:菲律宾帕赛市捣毁诈骗窝点 东南亚新闻大事件频道👇 https://t.me/MLXYXWDSJ ✉️ 投稿: @KLDSJ007
😄😄😄😄😄 #马来西亚资讯:雪兰莪士毛月突袭6处住宅,117人被捕,109名外国人涉嫌卷入网络诈骗 11月3日,马来西亚移民局联合马来西亚通讯及多媒体委员会(MCMC),在雪兰莪州士毛月展开联合执法行动,对6处涉嫌被用作网络诈骗据点的住宅进行突击检查,最终逮捕117人,其中包括109名外国人及8名马来西亚籍人士。 马来西亚移民局总监扎卡里亚·沙班指出,此次行动是在接获公众投诉后,由执法人员经过约两周情报收集与调查而展开。行动于当天上午11时50分正式进行,共出动77名移民局执法人员及10名通讯及多媒体委员会工作人员。 被捕人员包括98名外籍男子、11名外籍女子,以及7名马来西亚籍男子和1名马来西亚籍女子。外籍人员分别来自中国、日本、韩国、柬埔寨及越南。 初步调查发现,这6处住宅涉嫌被用作网络诈骗集团的运作据点,主要涉及虚假投资、虚假招聘及电子商务诈骗等活动。执法人员突袭时,部分人员据称正在通过社交媒体平台与受害者进行联…
#印尼新闻 #毒品犯罪 #中加里曼丹 #冰毒 11月3日,印度尼西亚中加里曼丹省Kotawaringin Barat县警察局通报,2026年7月至10月期间共破获25起毒品贩运案件,逮捕28名嫌疑人(25男3女),缴获超过2.8公斤冰毒、599粒摇头丸及362支含依托咪酯的烟弹。 据ANTARA News报道,2起案件涉及跨省网络,覆盖西加里曼丹、Sampit、Palangka Raya和南加里曼丹,缴获2,652.16克冰毒、599粒摇头丸及362支依托咪酯烟弹。其余23起为本地网络,缴获183.7克冰毒。缴获毒品总值约38亿印尼盾,估计可防止约6,700人接触毒品。嫌疑人被依据《麻醉品法》第114条第(2)款起诉,面临死刑、无期徒刑或最高20年监禁。 东南亚新闻大事件频道👇 https://t.me/MLXYXWDSJ ✉️ 投稿: @KLDSJ007
😄😄😄😄😄 #马来西亚资讯:柔佛麻坡多地展开移民突击检查,38人被捕,包括36名外国人及2名本地人 11月4日,马来西亚柔佛州移民局通报,当局于11月2日凌晨3时起,在柔佛州麻坡县多个地点展开联合执法行动,共检查108人,逮捕38人,其中包括36名外国人及2名马来西亚籍人员。 此次行动由柔佛州移民局麻坡执法分局展开,分别实施“Ops Belanja”“Ops Sapu”“Ops Hijau”及“Ops Selera”四项特别行动。 执法人员根据公众举报及前期情报,同时突袭多个商业场所、住宅及榴莲种植园,重点调查涉嫌非法雇用或窝藏无证外国移民的场所。 被捕的36名外国人年龄介于16至54岁,人员构成为:13名印尼籍男子、10名缅甸籍男子、3名孟加拉籍男子、2名印尼籍女子、1名越南籍女子及7名缅甸籍女子。 此外,另有2名马来西亚籍人员被捕,警方怀疑两人担任相关场所管理人员。 柔佛州移民局表示,所有被捕外国人涉嫌违反《1…
❤1
😄😄😄😄 柴桢省巴域市展开联合突击行动,多名涉嫌网络犯罪人员被捕 11月3日下午,柬埔寨柴桢省当局根据皇家政府第3号法令,奉柴桢省省长彭波萨阁下之命,在省副省长门恩先生带领下,联合省级及地方执法力量,对巴域市巴域城区多处地点展开突击搜查。 此次行动由柴桢省法院检察院副检察官波芙·特维女士协调,参与人员包括省警察局副局长斯伦·胡奥特上校、巴域市副市长,以及巴域市行政联合指挥部和治安警察部队。 行动中,警方逮捕了多名涉嫌从事网络犯罪活动的人员。 目前,涉案人员的具体数量、国籍及案件详细情况尚未公布,相关部门将进一步调查处理。 东南亚新闻大事件频道👇 https://t.me/MLXYXWDSJ ✉️ 投稿: @KLDSJ007
😄😄😄😄😄 #马来西亚资讯:内长:逾1.8万人坠金融诈骗陷阱 10年损失高达12.3亿 内政部长拿督斯里赛夫丁指出,从2016年至今年8月,全国共有1万8213人沦为金融诈骗案受害者,损失总额高达12亿3000万令吉。 他昨日以国会书面回答行动党峇吉里区国会议员林冠英的提问时说,根据警方记录,当局在同一时期也针对相关罪行共提出1754项控状。 “国家诈骗应对中心于2022年10月12日开始运作至今年8月,当局已成功向受害者归还总额1401万令吉的款项。 “今年首8个月,当局共扣押914万令吉的涉案款项,其中667万令吉已归还受害者。” 他说,政府继续加强国家诈骗应对中心的运作,包括提供24小时运作的997诈骗举报热线。 他表示,警方也加强情报调查及金融鉴证分析,包括追查资金流向、侦破钱骡账户网络、展开联合执法行动,以及针对诈骗集团展开逮捕行动。 赛夫丁指出,政府通过落实刑事法典第424A至424D条文,加强打击滥…
回国半年多后被逮捕追诉 #网友投稿 我一个亲戚从马来西亚回国有半年多了,以前受他的邀请还去过马来西亚找他玩。他在那边的工作是待在家里面搞直播的,看他的样子不仅工作很轻松惬意赚钱又多当时都很羡慕他😬。 就在前不久他突然被我们市公安局的警察逮捕了,后面据我们这些亲戚了解他在马来西亚搞的是网络赌博拉客直播,他拉的赌博客都是中国内地的老百姓,这在中国是属于严重的犯罪行为。 他在马来西亚搞的这份直播拉赌客工作有1年零3个月的时间,除了他平时在外的开支还赚了30多万人民币带回来。他对他的这份工作其实有意识到这是在犯罪,但回国已经有半年多没有警察来盘查逮捕他,他就以为这个事情人不知鬼不觉的过去了。 殊不知国内的警察对从国外回来搞过违法犯罪工作的人都会倒查追诉,不要说是已经过去半年多哪怕是2至3年前的事情查出来后同样的跑不掉。 警察念我亲戚是初犯又积极的配合他们的工作退了赃款32万多人民币,在回国的这半年多时间内也没有再从事过违法犯罪…
❤1
😄😄😄😄😄 #马来西亚资讯:雪州沙白安南捣毁跨境偷渡集团,36人落网,包括25名印尼籍人士 马来西亚雪兰莪州警方近日展开代号为 Ops Pintas Som 的专项执法行动,成功捣毁一个涉嫌经营跨境人口偷渡活动的犯罪集团,共逮捕36人。 据马新社11月3日报道,警方于11月1日至2日联合无人机行动小组及水警部队,在沙白安南地区三个地点展开突击行动。 落网人员包括25名印尼籍人士,其中有2名孩童,另有12人涉嫌充当偷渡人员的转运司机。 警方初步调查发现,该集团涉嫌利用未经授权的非法通道,协助外国人非法进出马来西亚,并向每名偷渡者收取1500至1800令吉费用。人员入境后,集团还会安排车辆将他们转运至巴生谷地区,额外收费500令吉起,具体金额视运输距离而定。 警方在行动中查获: - 11辆各类车辆; - 13部手机; - 4930令吉现金。 目前,警方援引《2007年反人口贩运及反偷渡移民法令》(ATIPSOM)及《1…
😄😄😄 两省向泰国移交58名涉诈人员,涉及电信诈骗、网络赌博及呼叫中心诈骗 11月2日,老挝沙耶武里省和波乔省先后向泰国移交两批涉嫌参与跨境诈骗活动的泰国籍人员,共计58人,涉及电信诈骗、网络赌博及呼叫中心诈骗等违法活动。 第一批移交行动发生在11月2日14时,地点位于老挝沙耶武里省与泰国黎府交界处的 Nam Nguong 泰老友谊桥。老挝有关部门向泰国移交40名泰国籍人员,其中男性27人、女性13人。这批人员涉嫌非法进入老挝境内,并参与组建电信诈骗及网络赌博团伙。移交后,泰国警方将相关人员送往黎府有关部门进行身份核查及后续调查。 同一天,老挝波乔省也向泰国移交18名涉嫌参与呼叫中心诈骗、网络诈骗及非法越境活动的泰国籍人员,其中男性12人、女性6人。此次行动中,相关部门还查获10台电脑和12部手机。11月3日,泰国方面对这批人员进行筛查,其中1人因涉嫌诈骗、输入虚假电脑数据,且涉及有效逮捕令,被当地警方带走进一步调查,其…
Showing the 12 most recent of 276 posts we hold for @MLXYXWDSJ. 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 edited after publishing
@MLXYXWDSJ edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 19 August 2026
- Most recent edit
- 19 August 2026
Posts recorded as deleted after publishing
We recorded 1 post on @MLXYXWDSJ 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
- 23 August 2026
- Most recent seen missing
- 23 August 2026
- Median time before seen missing
- 16 hours
- Seen missing in the last 30 days
- 0
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.
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@MLXYXWDSJ named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 93 posts, 18 August 2026 – 4 September 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“东南亚新闻大事件” (@MLXYXWDSJ), 9,725 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/MLXYXWDSJ.
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.