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Channel

马来西亚新闻头条

@hyxw9

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

51,847subscribers

+50,978 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002223450096
TypeChannel
Username@hyxw9
Description✅马来西亚新闻事件,疑难杂症来问我 ✅本频道只负责相关发布信息,真假自行甄别! ✅为全球华人分享马来西亚文化,一起看最美的马来西亚! 投稿、合作: @feihang
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live19 September 2026
Measurements held23
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/hyxw9

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 58% 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 why it has no browse page of its own yet.

Growth

85451,86026,3578 August 2026 — 869 subscribers8 August 2026 — 869 subscribers9 August 2026 — 854 subscribers17 August 2026 — 50,820 subscribers18 August 2026 — 50,809 subscribers19 August 2026 — 51,603 subscribers20 August 2026 — 51,602 subscribers21 August 2026 — 51,600 subscribers22 August 2026 — 51,597 subscribers24 August 2026 — 51,596 subscribers25 August 2026 — 51,590 subscribers26 August 2026 — 51,587 subscribers27 August 2026 — 51,586 subscribers29 August 2026 — 51,584 subscribers31 August 2026 — 51,585 subscribers2 September 2026 — 51,583 subscribers3 September 2026 — 51,579 subscribers5 September 2026 — 51,578 subscribers8 September 2026 — 51,860 subscribers11 September 2026 — 51,858 subscribers13 September 2026 — 51,856 subscribers16 September 2026 — 51,857 subscribers19 September 2026 — 51,847 subscribers51,8478 August 202619 September 2026
23 measurements spanning 41 days, net +50,978. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
19 Sept 2026, 06:3851,847-10
16 Sept 2026, 19:0251,857+1
13 Sept 2026, 06:5951,856-2
11 Sept 2026, 13:1651,858-2
8 Sept 2026, 18:0151,860+282
5 Sept 2026, 12:5551,578-1
3 Sept 2026, 14:1951,579-4
2 Sept 2026, 04:3351,583-2
31 Aug 2026, 00:0751,585+1
29 Aug 2026, 21:3551,584-2
27 Aug 2026, 20:2751,586-1
26 Aug 2026, 23:1651,587-3
25 Aug 2026, 20:5451,590-6
24 Aug 2026, 18:4351,596-1
22 Aug 2026, 23:4651,597-3
21 Aug 2026, 13:4751,600-2
20 Aug 2026, 15:4451,602-1
19 Aug 2026, 18:0751,603+794
18 Aug 2026, 14:5850,809-11
17 Aug 2026, 16:3950,820first reading

Engagement

926 posts held, back to 8 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 72 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.11%
avg views ÷ 51,847 subscribers
Avg views / post
576
783 posts measured
Reaction rate
0.268%
reactions ÷ views · ER floor
Posts in window
783
of 926 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 9 of 783 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 22 September 2026
Posts held926 (8 August 202622 September 2026)
Views total450,787
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 04:28 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
39,600
Videos
7,880
Links
29,300

Lifetime counters from Telegram’s own channel header, read 22 September 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
3h 05m
Average length
48s

Measured directly from 231 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 9 posts, in 6 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
333.3%
👏222.2%
🎉111.1%
🔥111.1%
😁111.1%
🤩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 10 of the 926 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 926 most recent posts we hold, published 8 August 2026 to 22 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

22 Sept 2026, 04:19 UTC456 viewsread 22 September 2026
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中缅警方重拳出击!缅北木姐电诈“畸形帝国”一夜崩塌 随着中缅警方联合执法的高压清剿,昔日缅北木姐地区由黑产堆砌的“金钱帝国”彻底宣告破产!曾经疯狂吸金、高调奢靡的“电诈经济”瞬间灰飞烟灭,直接在当地引发了一场史无前例的大批商家倒闭潮与全行业失业海啸! 昔日园区内那些“高消费、快周转”的电诈核心从业人员,在密集执法的雷霆手段下,被成批抓捕、遣返!当地瞬间失去了最庞大的绝对消费主力军! 电诈猖獗时期,当地餐饮、娱乐、零售业为了迎合黑产暴利,将房租和物价炒到了普通人无法企及的天价!如今潮水退去,本地居民的收入根本无法支撑,商家入不敷出,只能大面积关门咬牙停业! 木姐大批商家曾深度依附电诈园区,提供专属外卖、高档KTV、数码设备批发、偷渡安保物流等特种服务。如今上游犯罪链被生生切断,下游数万名依附黑产生态的本地和外来务工人员瞬间陷入断供与失业绝境! #中缅警方联合清剿电诈 #缅北木姐现状 #黑产泡沫破灭 🔔 点击订阅华人新闻头条 ↓

22 Sept 2026, 04:09 UTC652 viewsread 22 September 2026
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闲鱼崩了?!惊爆“暗号涉黄”大瓜,官方深夜紧急回应:永封! 近日,国民级二手平台闲鱼再次被推上风口浪尖!多名网友卧底爆料,平台上竟然涌现大批披着羊皮的“色情暗号交易”! 你以为别人在卖二手,其实人家在对暗号!不法分子为了躲避平台审核,开发出了全新的“黑话密码”: “二手空调”挂美女图:表面上架普通空调,私聊询问成色,对方竟直接甩过来露骨自拍照并明码标价,表面买家电,实际提供线下色情服务! “捷安特”自行车变形:利用“捷、安、特”(便捷、安全、特殊)的缩写拼凑,没有任何车辆参数,浏览量却高得吓人! 一角硬币/取卡针卖天价:这些看似不起眼的日常小物,全部变成了规避关键词审核的“颜色交易通行证”! 随着舆论彻底引爆,闲鱼官方客服火速作出正面回应:平台对涉黄违规行为严令禁止,零容忍!目前曝光的涉事账号已被全线拔除,永久封停! #闲鱼回应涉黄暗号# #闲鱼卖二手空调其实是招嫖 #闲鱼黑话大曝光 🔔 点击订阅华人新闻头条 ↓

22 Sept 2026, 03:57 UTC653 viewsread 22 September 2026
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#敏昂莱:鸡蛋和物价上涨“没什么好奇怪的” 9月21日,敏昂莱在内比都一场研讨会上称,鸡蛋及物价上涨源于供需不平衡和生产成本上升,“没什么好奇怪的”。 他表示,缅甸蛋鸡养殖数量远不能满足需求,肉、鱼、猪肉等同样供不应求。物价上涨主因是生产不足,加上燃油涨价、化肥进口成本上升、劳动力成本增加及关卡过多。 他称,要降物价必须提升生产,国家没有收入就难以从国外进口。 针对批评报道,他斥责民众和媒体“#不干活光叫嚷”,但也承认部分文章说得对,自己有空会看。 PS:敏总:你在教我做事? 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

22 Sept 2026, 03:50 UTC652 viewsread 22 September 2026
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乡长没有背景,平民子弟出身,但却要伸手上桌一拿~~ 不懂孝敬就只能拿来开刀了 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

21 Sept 2026, 15:37 UTC204 viewsread 22 September 2026
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#国内资讯 🇨🇳湖南郴州市临武公安破获虚拟货币杀猪盘,2名嫌疑人被依法刑拘! 近日,临武县公安局成功破获一起虚拟货币杀猪盘电信诈骗案,抓获犯罪嫌疑人李某、雷某,二人被依法刑事拘留。 今年6月,受害人岳女士来到临武县公安局报案,称自己被网友诱导投资虚拟货币,损失3万余元。 经警方调查,嫌疑人李某在网络上结识岳女士,以有内部渠道、可以稳赚收益为由,诱导岳女士下载投资APP,购买泰达币(USDT),再兑换由其上家操盘的新发虚拟货币。作案期间,李某伙同上家人为拉高虚拟货币价格,制造行情持续上涨的假象,不断怂恿岳女士追加资金。等受害人投入资金后,嫌疑人迅速砸盘,让虚拟货币价值归零,岳女士共计损失约3万元,李某从中非法获利数万元。赃款由其朋友雷某负责代收转移。 掌握相关证据后,临武公安迅速开展抓捕工作。8月19日,办案民警将犯罪嫌疑人李某抓获;9月17日,涉嫌代收赃款的雷某被抓获归案。 两人被依法刑事拘留,目前该案件正在进一步侦办

21 Sept 2026, 15:25 UTC177 viewsread 22 September 2026
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泰国议员质疑封锁缅甸边境通信能否真正打击电诈:犯罪集团已转用Starlink 9月21日,据报道,泰国参议员此前在国会会议上就泰缅边境打击电诈措施提出质询,要求政府说明限制手机及互联网信号后,究竟在多大程度上减少了跨境网络诈骗活动。 她要求泰国数字经济与社会部及国家广播电视和电信委员会(NBTC)拿出具体数据,评估通信封锁措施的实际成效。 她指出,如果措施无法有效切断诈骗集团运作,却影响边境居民以及医院、学校和政府机构正常使用通信服务,就需要重新评估执行方式。 同时表示,在传统通信线路受到限制后,部分跨境犯罪集团已经转向使用Starlink等卫星互联网技术, 因此单纯切断地面通信未必能够彻底阻止相关活动。她要求有关部门说明,是否具备快速发现、追踪和阻断这些新型通信方式的技术能力。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

21 Sept 2026, 15:14 UTC166 viewsread 22 September 2026
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真心喜欢这种微胖的女孩子! 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

21 Sept 2026, 15:08 UTC132 viewsread 22 September 2026
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#网友爆料:老挝金三角“特外”,洪门国际酒店里面的酒吧,买卖人口,强迫人员诈骗。 酒吧老板,假借酒吧名义,顶风作案,(把酒吧装修成暗间,入口在吧台后面,里面做诈骗工作室),自称关系通天,在东鹏公安局副局长保护下,无恶不作,压榨员工。 酒吧园区内至少有100多人,其中数十人并非自愿,其业务涉及“国盘”、“军包”、“精聊”等针对国内的大额诈骗项目,全天24小时缅甸内保,手持电棍看守,员工稍有不从,或者上班状态不好,即被保安抓至小黑屋,吊起严刑拷打。 酒吧老板是盘口股东,提供保护是东鹏公安局副局长。每个月按照每人3500元,收取保护费。 望老挝政府及中国政府早日抓捕酒吧老板,解放里面被买卖来的人员。 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

21 Sept 2026, 14:58 UTC134 viewsread 22 September 2026
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#群友投稿:金边金街某盘口的一位离职狗推,在离职后不知道什么原因跑到宿舍去把人捅死了,目前已经被宪兵抓了,具体情况暂时还不清楚,看看后面官方会不会通报! PS:欠钱不还?还是职场霸凌?😂 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

21 Sept 2026, 14:52 UTC117 viewsread 22 September 2026
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网友投稿 以前这里都是线上广告,现在全拆了,西港积极响应国家政策号召了~~ 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

21 Sept 2026, 14:47 UTC111 viewsread 22 September 2026
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闲鱼涉黄产业链曝光:最小涉事者仅 14 岁 闲鱼平台再次被曝暗藏涉黄产业链,部分涉事服务涉及未成年人,最小年龄仅 14 岁。商家以“模特上门约拍”等旗号发布商品,通过隐晦暗示引导用户至线下交易。 对此,闲鱼客服回应称平台对违规行为零容忍。数据显示,2026 年 1 月至今,闲鱼累计处置色情引流风险账号 98358 个,并主动移送线索配合公安打击色情团伙 15 个。 PS:都这么卷了吗😭 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

21 Sept 2026, 14:46 UTC108 viewsread 22 September 2026
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#币圈新闻:BTC 突破 85000 美元,同时全网24小时内共有7.82亿美金爆仓 🔔 点击订阅华人新闻头条 ↓ 🔗 t.me/+fBZd42IBnLowYjY8 ✅ 免费投稿爆料:@feihang

Showing the 12 most recent of 926 posts we hold for @hyxw9. 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.

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

“马来西亚新闻头条” (@hyxw9), 51,847 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/hyxw9.

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.