#马来西亚新闻 马六甲警方摧毁专骗日本人的电话诈骗窝点,抓获17名涉案外国人,其中包括4名中国人 10月6日,马六甲警方公布了一起跨国电话诈骗案件。10月4日下午2点半,警方突袭了阿莱甘榜武吉蓬古一处出租别墅,现场拘捕了17名外国嫌疑人。 被捕人员年龄介于23岁至55岁,分别为10名日本男子、1名日本女子、4名中国男子和2名缅甸女子。 该别墅从今年8月开始被用于电话诈骗呼叫中心,犯罪团伙成员假扮“客服人员”,专门向日本境内受害者进行诈骗。 警方在现场缴获了21部手机、1台笔记本、2台显示器、2台电脑主机及路由器等设备,还找到了28份日文诈骗话术脚本,缴获物资总价值约2.5万令吉。 警方正对涉案手机与电脑进行数据检查,持续追踪诈骗金额、受害者数量、资金流向及幕后操控人员。 自10月5日起,这17人已被延长扣押14天,至10月18日为止。调查发现,只有5人持有护照,其余人员的入境、居留及工作许可状况正在移民部门进一步核查…

Channel
东南亚大事件曝光吃瓜记
@dnybush
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
159,583subscribers
-16,089 since we began measuring on 21 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001745382594 |
|---|---|
| Type | Channel |
| Usernames | @dnybush @w88i88 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #斯里兰卡 #越南 #马来西亚 #新加坡 #老挝 #迪拜 东南亚曝光热搜吃瓜频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。欢迎大家投稿 商务合作 : @qiqy17 投稿机器人: @qiqy17bot 能量闪租 TRX兑换 全能机器人💰莱币 @laibi2bot |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 21 August 2026 |
| Last confirmed live | 4 October 2026 |
| Measurements held | 41 |
| Confirmed unchanged | 1 time, most recently 4 October 2026 |
| On Telegram | t.me/dnybush |
Topic
Gambling & betting — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 22 August 2026 and assigned it the closest of 31 fixed categories, at 71% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Oct 2026, 22:16 | 159,583 | -486 |
| 4 Oct 2026, 13:58 | 160,069 | +3,641 |
| 27 Sept 2026, 14:40 | 156,428 | -4,966 |
| 26 Sept 2026, 06:01 | 161,394 | -22,432 |
| 17 Sept 2026, 14:38 | 183,826 | -111 |
| 17 Sept 2026, 12:40 | 183,937 | -303 |
| 15 Sept 2026, 16:38 | 184,240 | +649 |
| 15 Sept 2026, 11:40 | 183,591 | +471 |
| 13 Sept 2026, 21:39 | 183,120 | -69 |
| 13 Sept 2026, 21:17 | 183,189 | +753 |
| 12 Sept 2026, 02:55 | 182,436 | no change |
| 12 Sept 2026, 00:57 | 182,436 | +7,356 |
| 9 Sept 2026, 19:57 | 175,080 | -321 |
| 9 Sept 2026, 14:57 | 175,401 | +5,319 |
| 6 Sept 2026, 09:37 | 170,082 | -203 |
| 6 Sept 2026, 06:16 | 170,285 | +385 |
| 4 Sept 2026, 05:00 | 169,900 | -112 |
| 3 Sept 2026, 23:57 | 170,012 | -1,763 |
| 2 Sept 2026, 17:35 | 171,775 | -682 |
| 2 Sept 2026, 12:45 | 172,457 | first reading |
Engagement
746 posts held, back to 21 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 95 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.64%
- avg views ÷ 159,583 subscribers
- Avg views / post
- 7,400
- 460 posts measured
- Reaction rate
- 0.452%
- reactions ÷ views · ER floor
- Posts in window
- 461
- of 746 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 444 of 460 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 October 2026 |
|---|---|
| Posts held | 746 (21 August 2026 – 7 October 2026) |
| Views total | 3,405,918 |
| Reactions total | 14,972 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Oct 2026, 12:13 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
- ≈20,300
- Videos
- ≈2,570
- Links
- ≈2,830
Lifetime counters from Telegram’s own channel header, read 7 October 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 01m
- Average length
- 43s
Measured directly from 252 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
20,265 reactions across 667 posts, in 12 distinct kinds. The most used accounts for 30.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 6,110 | 30.2% | |
| 🎉 | 2,808 | 13.9% | |
| 👍 | 2,748 | 13.6% | |
| 🔥 | 2,675 | 13.2% | |
| 🤩 | 1,331 | 6.57% | |
| 💯 | 1,027 | 5.07% | |
| 🥰 | 1,018 | 5.02% | |
| 😍 | 986 | 4.87% | |
| ❤🔥 | 923 | 4.55% | |
| 😁 | 455 | 2.25% | |
| 👏 | 178 | 0.878% | |
| ⚡ | 6 | 0.03% |
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 667 of the 746 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 20,265 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 746 most recent posts we hold, published 21 August 2026 to 7 October 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
#缅甸新闻 中缅边境安保升级,小勐拉NDAA加强三地区巡逻检查 10月6日,据缅甸《湄公河》报道,随着节庆期间跨境人员流动增加,小勐拉民族民主同盟军(NDAA)已加强其控制区及中缅边境沿线的安全戒备,并在辖区3个地区部署联合巡逻力量。 NDAA通报称,当地警察、武装人员及民兵正在城区、郊区和边境沿线开展联合巡逻,通过流动检查、轮班巡逻及重点地点驻守等方式,加强对边境通道、小路及重要区域的管控,同时重点排查可疑人员和潜在安全风险。 NDAA表示,近期中国及周边国家进入节庆时段,小勐拉当地节庆活动也将陆续举行,探亲、旅游及参加活动人员预计增加,因此提前提升安保等级,以防范人员流动增加带来的治安风险。 报道称,目前UWSA佤邦联合军及MNDAA果敢同盟军控制的部分中缅边境地区也在加强安全措施。 NDAA表示,将继续强化辖区治安和边境管控,确保节日期间地区稳定。 —————————————————— 💰莱币 @laibi2bo…
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#网友投稿 一家名为 Kingworld 的翻译器,盗取客户信息,篡改聊天记录,偷客户。 希望仅存的兄弟们注意,现在的翻译器大多都选择跑路,这个时候使用就必须要注意了,因为他们后台要改信息非常容易,不要辛辛苦苦自己搞得客户,钱被别人划走了。 —————————————————— 💰莱币 @laibi2bot|能量闪租|TRX闪兑|查询监听|全能机器人 ———————————————————— 📣订阅东南亚新闻大事件频道:@w88i88 📞投稿爆料:@qiqy17bot 🔔商务合作:@qiqy17
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#菲律宾新闻 巴西兰省军车遭伏击10名士兵受伤,军方展开追捕 菲律宾巴西兰省蒂波蒂波镇10月5日上午发生军车伏击事件,一支由军用卡车和民用车辆组成的车队遭身份不明武装人员袭击,至少 10名士兵受伤。 警方称,初步调查显示,袭击可能与武装组织头目萨达姆·西迪克有关,被指是针对近期军事行动的报复。 菲律宾陆军表示,受伤士兵已被送医,目前正在展开追捕行动,并对袭击事件进行进一步调查。 —————————————————— 💰莱币 @laibi2bot|能量闪租|TRX闪兑|查询监听|全能机器人 ———————————————————— 📣订阅东南亚新闻大事件频道:@w88i88 📞投稿爆料:@qiqy17bot 🔔商务合作:@qiqy17
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#网友吐槽 这帮发病毒的傻逼,有那功夫去搞老外,天天想着摘别人果子算什么? —————————————————— 💰莱币 @laibi2bot|能量闪租|TRX闪兑|查询监听|全能机器人 ———————————————————— 📣订阅东南亚新闻大事件频道:@w88i88 📞投稿爆料:@qiqy17bot 🔔商务合作:@qiqy17
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#泰国新闻 北碧府养老院被举报拘禁虐待老人,多部门突击检查发现带铁栏隔离房间 2026年10月6日,北碧府收到举报,一名老人报警控诉,自己被儿子送入索通猜养老院后遭到拘禁与虐待。卫生服务支持厅厅长协同当地警方、县级政府人员,前往塔孟县这家涉事养老院开展突击核查。检查组在院内发现部分房间加装铁栅栏,环境类似禁闭室。养老院负责人解释,这类房间是用来安置情绪躁动的病患,目的是保护院内其他老人,待患者状态稳定后便会解除隔离。 相关部门已完成现场勘查,将持续核实举报内容,事件更多细节有待后续披露。养老院隔离设施的合规性引发争议,主管部门将审慎核查事件真相,切实维护院内长者的人身安全与各项合法权益。 —————————————————— 💰莱币 @laibi2bot|能量闪租|TRX闪兑|查询监听|全能机器人 ———————————————————— 📣订阅东南亚新闻大事件频道:@w88i88 📞投稿爆料:@qiqy17bot 🔔商务合作…
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#泰国新闻 芭提雅豪宅遭持枪抢劫 损失近3700万泰铢 10月6日凌晨,三名疑似中国籍的持枪男子闯入泰国芭提雅附近一栋奢华住宅,持枪威胁一名外籍居民,劫走大量现金、劳力士手表,并强迫其转账加密货币。 据警方估计,仅加密货币损失即达82万美元,涉案总损失初步估计近3700万泰铢(约合107万美元)。目前,泰国警方正全力搜捕涉案嫌疑人。 —————————————————— 💰莱币 @laibi2bot|能量闪租|TRX闪兑|查询监听|全能机器人 ———————————————————— 📣订阅东南亚新闻大事件频道:@w88i88 📞投稿爆料:@qiqy17bot 🔔商务合作:@qiqy17
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#泰国新闻 曼谷豪宅藏诈骗资金链,3人落网,6名学生被骗超2亿泰铢 10月6日早上7时30分,泰国警方突查曼谷沙攀松区一栋豪宅,屋内共有中国、缅甸、俄罗斯和泰国籍人员11人,最终抓获3名涉案人员,包括一名37岁中国籍男子和两名缅甸籍女子。 这起案件由一名19岁男大学生被骗案牵出。9月23日至25日,诈骗人员先冒充电信公司人员,谎称他的电话号码涉及洗钱,随后又冒充警察,要求他转账“证明清白”。 这名学生先后5次转账212,989.90泰铢,之后又取出45万泰铢现金,送到佛统府沙拉亚一处商场停车场交给接头人员,累计被骗662,989.90泰铢。 警方顺着资金和现金流向追查,发现被骗资金经过多个账户和人员层层转手,部分资金被拿去购买黄金。现金则一路送到曼谷沙攀松区,两名缅甸籍女子负责接收和转交,最后交给被捕的中国籍男子。 继续追查后,警方发现同一诈骗网络还涉及另外6名学生,相关案件损失超过2亿泰铢。 豪宅内查获超过40项资…
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❤16👍9🤩9🥰8❤🔥4
Showing the 12 most recent of 746 posts we hold for @dnybush. 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.
@jbzhaoshang · 4,98942 posts必发国际官方频道
@bifagj · 5,35535 posts🔥西湖娱乐城-xihu.cc-【实力招商】🔥
@xihuzs · 4,88933 postsSOSO搜搜
@sososo · 567,64925 postsPG娱乐 92.cc 官方频道
@pgyx8_com · 2,25221 posts78.COM-官方频道@DF78
@tg78com · 27,00519 posts8p娱乐城
@www8pmom · 60113 postsSOSO搜搜
@sooo · 452,82312 postsSOSO搜搜
@sosoo · 484,9557 postsSOSO搜搜
@souso · 581,1276 postsSOSO搜搜🔞
@SosoCnBot · 235,7084 postsV6娱乐
@HT_V6 · 3,9253 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 4 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件曝光吃瓜记” (@dnybush), 159,583 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/dnybush.
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.