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Channel

马来西亚大事件🇲🇾

@mlxy80

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

23,921subscribers

-7,275 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-1002019363648
TypeChannel
Username@mlxy80
Description🌍 联盟导航 @LM667788 💎 投稿 / 商务合作 @yh184 🌏 聚焦马来西亚新闻|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 本群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。本群鼓励尊重友好的交流方式,进一步发表有意义的评论内容。 ⚠️切记我们不会主动私聊任何用户⚠️
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 live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/mlxy80

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 98% 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 4 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.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@yh105/121599 Aug 2026, 13:05 UTC@mlxy80/4070 · this entry9 Aug 2026, 13:05 UTC1.00under a minute
@yh105/1239211 Aug 2026, 16:14 UTC@mlxy80/4397 · this entry11 Aug 2026, 16:14 UTC1.00under a minute
@mlxy80/5579 · this entry18 Aug 2026, 13:22 UTC@yh105/1329018 Aug 2026, 13:22 UTC1.00under a minute
@yh105/1355120 Aug 2026, 17:35 UTC@mlxy80/5950 · this entry20 Aug 2026, 17:35 UTC1.00under a minute
@mlxy80/5953 · this entry20 Aug 2026, 17:38 UTC@yh105/1355420 Aug 2026, 17:38 UTC1.00under a minute
@mlxy80/7034 · this entry27 Aug 2026, 17:32 UTC@yh105/1456627 Aug 2026, 17:32 UTC1.00under a minute
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
@yh10536 (8/8 hand-verifiable sample passed)0.97under a minute@yh105 (33–3)
@bx668033 (8/8 hand-verifiable sample passed)0.98under a minute@bx6680 (24–9)
@yhxw132 (8/8 hand-verifiable sample passed)0.97under a minute@yhxw1 (21–11)
@bx66b28 (8/8 hand-verifiable sample passed)0.98under a minute@bx66b (25–3)

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. 103 of the 103 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 2,174 comparable posts for this entry, running 7 August 2026 to 12 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, last confirmed 13 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

23,92141,80232,861.57 August 202611 November 2026
63 measurements spanning 97 days, net -7,275. 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 21,239–44,484 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 18:0923,921-643
10 Nov 2026, 01:0724,564-220
8 Nov 2026, 14:5424,784+57
7 Nov 2026, 09:3924,727-245
6 Nov 2026, 11:4024,972-275
5 Nov 2026, 11:0725,247-58
4 Nov 2026, 13:4025,305-89
3 Nov 2026, 16:1525,394-176
2 Nov 2026, 18:2825,570-80
1 Nov 2026, 15:2025,650-39
31 Oct 2026, 17:0625,689-82
30 Oct 2026, 13:3925,771-72
29 Oct 2026, 10:1625,843-202
28 Oct 2026, 07:5626,045-35
27 Oct 2026, 05:2826,080-33
26 Oct 2026, 08:3026,113-49
25 Oct 2026, 09:3126,162-1,641
24 Oct 2026, 05:5827,803-619
23 Oct 2026, 02:2828,422-232
21 Oct 2026, 23:2728,654first reading

Engagement

2,341 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 185 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.32%
avg views ÷ 23,921 subscribers
Avg views / post
1,510
627 posts measured
Reaction rate
0.055%
reactions ÷ views · ER floor
Posts in window
631
of 2,341 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 89 of 627 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 13 November 2026
Posts held2,341 (7 August 2026 – 13 November 2026)
Views total947,709
Reactions total75
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 09:02 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
≈19,600
Videos
≈2,050
Links
≈567

Lifetime counters from Telegram’s own channel header, read 13 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 22m
Average length
39s

Measured directly from 128 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

90 reactions across 82 posts, in 9 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5460.0%
❤2730.0%
💩22.22%
🤣22.22%
🏆11.11%
🐳11.11%
😨11.11%
🙉11.11%
🙏11.11%

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 119 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 90 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 30 September 2026 to 13 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 631 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).

13 Nov 2026, 08:55 UTC511 views0 reactionsread 13 November 2026
Video

#群友投稿 七星海:十月份七星海水疗公馆99嗨厂俱乐部找合作管理团队我们作为管理团队 去了公司之后我们按照他们要求上人、DJ、少爷、公主、扶手、会所小妹,说好的管吃住,工资五天一结算,五天的时候不结算工资一拖再拖,一直找借口各种拖,拖了半个多月都没给结算工资 差一万三千多妹子工资不给结算,合作需谨慎,在不给结算,直接曝光人。 ✅ 马来大事件 @mlxy80 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

13 Nov 2026, 08:54 UTC646 viewsread 13 November 2026
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#中国新闻 贝森特称中国AI模型卷入法国超市冰箱黑客攻击事件 美国财政部长贝森特星期四(11月12日)在美国传统基金会发表演说时称,中国人工智能大模型卷入了法国超市冰箱黑客攻击事件。据彭博社报道,贝森特表示,上月发生的网络攻击波及约700家法国超市和法国公共血库,导致冰箱系统瘫痪,杂货店和零售商被迫丢弃变质食品。法国外长巴罗星期一(11月9日)在巴黎出席七国集团外长会议时证实,上述攻击由伊朗革命卫队发动。 比利时、爱尔兰、瑞典、芬兰和爱沙尼亚等地的超市制冷系统也报告遭受网络攻击。贝森特说,伊朗人使用了中国的模型,并称中国的人工智能模型“很危险,为它们没有防护措施”。 上述网络攻击通过连接互联网的集中式冰箱控制器实施,这些控制器允许承包商远程监控温度,攻击者入侵其中一些系统并篡改设置,触发长时间除霜循环,导致冰箱和冰柜温度升高。贝森特将于下周随美国总统特朗普出访亚洲,期间特朗普计划与中国国家主席习近平会晤。 ✅ 马来大事件…

13 Nov 2026, 08:39 UTC≈1,050 viewsread 13 November 2026
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#马来西亚新闻 吉打双溪大年河中发现身份不明女尸 吉打双溪大年一间购物中心附近的河中今日发现一具身份不明女性遗体。瓜拉姆拉警区主任哈尼安表示,根据遗体腐烂程度,相信该女性死亡时间在48小时内,遗体被发现时未着衣物。 警方于下午约1时30分接获公众投报,已将案件列为猝死处理,待明日进行尸检。哈尼安表示,由于遗体状况,警方无法确认该女性的身份、年龄或种族。 他称,警方估计死者年龄为30岁或以上,但尚未确认。瓜拉姆拉警方正在该区及邻近地区进一步核查涉及特征相似的失踪女性报告。哈尼安呼吁家中有失踪成员的公众前往最近警局协助调查。 ✅ 马来大事件 @mlxy80 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

13 Nov 2026, 08:35 UTC≈1,040 viewsread 13 November 2026
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✨✨✨✨📣📣📣📣 13+ 官方矩阵 · 80+ 官方社群 100W+ 用户覆盖 多领域矩阵布局 · 覆盖多元流量场景 多样合作 · 灵活选择 单矩阵|多矩阵|全联盟 滚播广告|置顶广告|聚合广告 品牌宣传|项目推广|引流获客 资源合作|上压担保 商务合作:@yh184

13 Nov 2026, 08:26 UTC≈1,110 viewsread 13 November 2026
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#群友投稿:现在黑客是真的嚣张啊,赶紧都早点去死吧!今天晚上我们电脑就被黑客入侵了,飞机给我发消息,我直接拉黑了。 然后他就用我飞机各种给好友发消息,说要搞死我。没想到这个坏种直接给我客户发消息截图,把客户点死了。 你在公司活不下去,快被电死了,看在我这里搞不到钱,就搞点事。活不起就早点去死,出来祸害人!你这种逼人就是自己活不起了,也见不得别人好。要知道你是谁,一刀给你捅了。在东南亚,死个人就像死条狗一样,你就是那条狗! 也告知一下大家,用翻译器都要小心。现在大环境这样子,遇到这种黑客,只能认倒霉了。这人太缺德玩意了,一直在操控我这边电脑,从凌晨到上午没停过,把我客户点得死死的。 ✅ 马来大事件 @mlxy80 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

13 Nov 2026, 08:21 UTC≈1,130 viewsread 13 November 2026
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#国际新闻 FBI:北韩骇客利用视讯影像窃取逾4亿美元加密货币 美国联邦调查局(FBI)表示,北韩政府支持的骇客利用偷拍取得的人物影像,朝影像中人物的联络人下手,在过去18个月窃取超过4亿美元加密货币。FBI称此社交工程诈骗手法为“盗脸者”。受害目标被诱骗至Zoom、Microsoft Teams与Google Meet等视讯会议软体的仿冒版本进行视讯聊天,目标会收到曾互动过的真实联络人邀请,但这些联络人的社群媒体与通讯帐号已被入侵,影像也遭秘密录制。 通话开始后,受害目标会遇到伪造的技术错误,被要求点击连结修复,导致电脑与社群媒体帐号中毒,骇客再利用目标对象的联络人锁定更多人下手。FBI已辨识并查获900多个受害者的网路摄影机影片。 FBI表示,骇客已开始使用人工智慧制作加密货币与区块链产业知名及具影响力人士的深伪影片。FBI将相关活动归咎于称为“蓝宝石雨夹雪”或UNC1069的北韩骇客集团,该集团与FBI及民间业者认定…

13 Nov 2026, 08:06 UTC≈1,170 viewsread 13 November 2026
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#马来西亚新闻 退休教师涉17项性侵学生指控不认罪 一名退休教师今日在安顺地庭对17项涉及7名13至15岁女学生的身体性侵指控表示不认罪。56岁的Zaidi Abbas在法官Rafidah Che Aziz面前作出上述答辩。 他被控在案发时作为教师对上述7名受害者实施带有性目的的行为。相关罪行据称于2024年5月至2025年7月7日期间,在冷甲一所中学的特别室和食堂、附近区域一辆车内以及从安顺返程途中发生。 案件依据2017年《儿童性侵罪行法令》第14(a)条文提控,并与同一法令第16(1)条文同读;罪成可判处最高20年监禁及鞭刑,另可加判最高5年监禁及不少于两下鞭刑。副检察司Izzuddin Fakri Hamdan对所有指控提出7万令吉保释金,并附加在案件审理期间不得干扰受害者、每月到附近警局报到的条件。律师Koh Shean Wai以当事人需抚养妻子、母亲及四名在小学和中学就读的孩子、月收入约4000令吉为由,请求将…

13 Nov 2026, 07:49 UTC≈1,190 viewsread 13 November 2026
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#国际新闻 无印良品母公司承认未按规定删除客户信用卡资料并致歉 日本家居用品零售品牌无印良品系统遭入侵,多达109万条客户信用卡资料可能泄露。母公司良品计画承认没有按规定删除完整的客户信用卡号码,并为事件公开道歉。良品计画社长清水智12日在记者会上表示,公司必须对此负起重大责任,并承认资料管理存在不足。 良品计画表示,公司过去利用联名信用卡MUJI Card的号码识别客户身份并提供相关奖励,2021年7月改用其他资料识别客户后,虽制定政策删除完整信用卡号码,却没有实际删除有关数据,导致资料继续保存在系统内。良品计画表示,目前仍在调查为何有关资料没有被删除,并尚未确定是否有人蓄意保留这些数据。 无印良品系统遭未经授权访问,可能导致超过100万名会员资料外泄,其中约34万5000名会员的资料涉及信用卡号码和出生日期。良品计画上个月29日也曾通报,最多约2726万条客户记录可能受到影响。 ✅ 马来大事件 @mlxy80 🌐 联…

13 Nov 2026, 07:45 UTC≈1,200 viewsread 13 November 2026
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#网友曝光:东南亚擅长伪装的丑陋狐狸! 张林飞,中国陕西人,1996年2月25日出生,此人表面看起来柔弱不堪,实际心思缜密,到处在东南亚招摇撞骗,今年2026年8月17日入职T1体育综合盘,实际BC盘,名字:Lufei路飞,刚来的时候装着负债100多万可怜的样,博得同事的同情,认识了我,我就借钱给他生活,然后工作2个月不到,于2026年10月11日离职,离职期间因护照逾期未激活,就开始继续骗其他的诈骗盘来给他激活,然后跳票,这等一些行为真是恶心至极,在这期间我借钱给他还国内朋友的钱,现在正常催他还钱,结果换来的是耍无赖,各种理由强加我自身,到最后成我的不是了,天底下竟然有这种人,离职期间发了工资自己一分舍不得花,全是靠我去养他,结果养了一只白眼狼,这种人人品极差,希望身在东南亚的朋友遇到直接举报,会有回报!像你这种人永远都是赌狗,不要自欺欺人了,这种报应迟早会降临到你身上,不要连累生你养你的爸妈,钱还了什么事情都没有,不还我肯…

13 Nov 2026, 07:41 UTC≈1,200 viewsread 13 November 2026
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#马来西亚资讯:雪兰莪警方捣毁3个诈骗集团,61人被捕,包括45名印尼籍人员 马来西亚雪兰莪州警方于11月3日在 Seri Kembangan 展开突击行动,成功捣毁3个涉嫌从事网络诈骗活动的犯罪集团,共逮捕61名嫌疑人,其中包括15名马来西亚籍、45名印尼籍及1名中国籍人员。 警方此次行动突击了当地3处住宅,初步调查发现,其中两个犯罪集团通过发布虚假兼职广告招募受害者,以点赞、分享等简单网络任务为诱饵,诱骗受害者参与所谓的兼职工作,随后要求受害者向指定银行账户转账,实施诈骗。 另一个犯罪集团则涉嫌冒充马来西亚通讯及多媒体委员会(MCMC)官员,通过电话联系民众,利用虚假身份实施电话诈骗。 行动期间,警方共查获144件电子设备及相关物品,估计总价值约8万令吉。 警方目前援引刑事法典第420条(诈骗)及第120B条(刑事串谋)展开调查,并将进一步追查相关犯罪集团的运作情况及其他涉案人员。 ✅ 马来大事件 @mlxy80…

13 Nov 2026, 07:33 UTC≈1,220 viewsread 13 November 2026
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#马来西亚新闻 新加坡商人被控失信处置已故富豪50万股 吉隆坡地庭对商人Poh Po Lian设定40万令吉保释金,须两名担保人。这名新加坡商人被控处置一名已故富豪所属的50万股,因而面对刑事失信控状; 他否认有罪,要求审讯。控状指Poh未经已故Ta Kin Yan六名子女同意,将属于Ta Kin Yan的50万股Victoria Island Club Berhad股份转移给Jennifer Kok; 六名子女各有权分得部分股份。他被指与Ta Kin Yan长子Ta Jin Kiat于2022年7月31日在Solaris Dutamas一间顶层公寓共同犯下该罪行。控状在翻译员协助下以华语向他宣读,控方由副检察司Ifa Sirrhu Samsudin出庭,Poh由Jerald Gomez代表。法官Rosli Ahmad将案件定于12月8日过堂,并谕令Poh不得干扰潜在证人,且须每月向马来西亚反贪污委员会办公室报到。Poh向…

13 Nov 2026, 07:14 UTC≈1,240 viewsread 13 November 2026
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#网友投稿:看看负债上岸群的女生在聊什么?太吓人了! 这个负债群全都是逾期了很久的,群里170个人,150多个女的,搜索彩礼关键词,聊天记录更是炸裂。 PS:这究竟是道德的沦丧,还是人性的扭曲? ✅ 马来大事件 @mlxy80 🌐 联盟导航 @LM667788 🐖 投稿/合作/上压 @yh184

Showing the 12 most recent of 2,341 posts we hold for @mlxy80. 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 11 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“马来西亚大事件🇲🇾” (@mlxy80), 23,921 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/mlxy80.

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.