#泰国缉毒新闻 #叻丕府 叻丕府警方接报搜毒,嫌疑人躲菠萝蜜树上被抓获,搜出 41 粒冰毒 2026 年 9 月 23 日,叻丕府邦佩警察局收到线报,旺延街道 5 村一处民宅为涉毒据点。警员赶赴现场,目标男子已经提前逃走,警方随即在周边展开搜寻。巡逻时发现一名男子藏匿在菠萝蜜树上,男子下树时险些坠落,警员上前协助其安全落地。搜身查获 41 粒冰毒药丸,嫌疑人承认有吸毒史。警方将其连同毒品一并带回邦佩警局,以非法持有毒品、吸毒两项罪名提起诉讼。
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Channel
@chigua8198
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
142,400subscribers
+15,881 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002251863725 |
|---|---|
| Type | Channel |
| Username | @chigua8198 |
| Description | ⚡️ 迪拜大事件 全网首发!资讯快人一步 🚨 拒绝信息时差。第一时间推送东南亚突发事件、灰产内幕与最新政策。 【最新】 实时追踪区域动态 【最快】 突发新闻秒速直达 商务合作: @ciio13 |
| Created | Between 1 October 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/chigua8198 |
Other / unclassifiable — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 74% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 16:00 | 142,400 | +1,475 |
| 15 Sept 2026, 14:59 | 140,925 | +974 |
| 13 Sept 2026, 21:19 | 139,951 | +434 |
| 12 Sept 2026, 02:40 | 139,517 | +2,792 |
| 9 Sept 2026, 15:19 | 136,725 | -333 |
| 6 Sept 2026, 05:41 | 137,058 | -170 |
| 4 Sept 2026, 01:15 | 137,228 | -458 |
| 2 Sept 2026, 13:39 | 137,686 | +101 |
| 1 Sept 2026, 15:04 | 137,585 | +118 |
| 31 Aug 2026, 16:03 | 137,467 | +1,099 |
| 30 Aug 2026, 13:06 | 136,368 | -423 |
| 29 Aug 2026, 09:47 | 136,791 | +566 |
| 28 Aug 2026, 09:34 | 136,225 | -48 |
| 27 Aug 2026, 07:25 | 136,273 | +61 |
| 26 Aug 2026, 03:56 | 136,212 | +609 |
| 25 Aug 2026, 04:06 | 135,603 | +629 |
| 23 Aug 2026, 23:15 | 134,974 | +2,337 |
| 22 Aug 2026, 09:06 | 132,637 | -42 |
| 21 Aug 2026, 01:13 | 132,679 | +396 |
| 20 Aug 2026, 01:41 | 132,283 | first reading |
726 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 100 pages of Telegram’s post history, 20 posts per page.
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 394 of 443 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 726 (6 August 2026 – 23 September 2026) |
| Views total | 3,157,296 |
| Reactions total | 4,969 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 08:33 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.
Lifetime counters from Telegram’s own channel header, read 23 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.
Measured directly from 98 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.
8,570 reactions across 629 posts, in 13 distinct kinds. The most used accounts for 14.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1,234 | 14.4% | |
| 👍 | 1,175 | 13.7% | |
| 🎉 | 1,088 | 12.7% | |
| 🥰 | 1,042 | 12.2% | |
| ❤ | 982 | 11.5% | |
| 🤩 | 953 | 11.1% | |
| 👏 | 563 | 6.57% | |
| 💯 | 520 | 6.07% | |
| ❤🔥 | 493 | 5.75% | |
| 😍 | 456 | 5.32% | |
| ⚡ | 32 | 0.373% | |
| 😁 | 31 | 0.362% | |
| 🤯 | 1 | 0.012% |
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 629 of the 726 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 8,570 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 726 most recent posts we hold, published 6 August 2026 to 23 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.
#泰国缉毒新闻 #叻丕府 叻丕府警方接报搜毒,嫌疑人躲菠萝蜜树上被抓获,搜出 41 粒冰毒 2026 年 9 月 23 日,叻丕府邦佩警察局收到线报,旺延街道 5 村一处民宅为涉毒据点。警员赶赴现场,目标男子已经提前逃走,警方随即在周边展开搜寻。巡逻时发现一名男子藏匿在菠萝蜜树上,男子下树时险些坠落,警员上前协助其安全落地。搜身查获 41 粒冰毒药丸,嫌疑人承认有吸毒史。警方将其连同毒品一并带回邦佩警局,以非法持有毒品、吸毒两项罪名提起诉讼。
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#新加坡新闻 【轿车引擎盖暗藏1600个电子烟 32岁马国男兀兰关卡被捕】 兀兰关卡 马来西亚注册轿车 引擎盖下查获电子烟及组件 移民局据情报拦截 卫生科学局调查 2026年9月22日,新加坡兀兰关卡,移民与关卡局人员根据综合目标中心情报,指示一辆入境马来西亚注册轿车接受进一步检查,在引擎盖下发现超过1600个电子烟及相关组件,32岁马来西亚籍男驾驶当场被捕。案件已转交卫生科学局调查。
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阿联酋、沙特等五国联合发布加沙警告 2026年9月21日,埃及、卡塔尔、约旦、阿联酋、印尼、巴基斯坦、土耳其及沙特外交部长在纽约联大第81届会议期间会晤。 各方对加沙人道危机深表关切,要求以色列履行全面计划第一阶段承诺,确保人道援助及重建物资畅通无阻,修复关键基础设施,并维护停火、停止违约行为。 部长们强调,路线图是推进第二阶段(包括以军撤军、解除武装、部署国际维和部队、加沙行政委员会履职及启动重建)的实施框架,呼吁各方诚意履约。 各方重申断然拒绝驱逐巴勒斯坦人或改变被占领土人口与领土特征,谴责以色列加速定居点扩张、没收土地、拆房及暴力行径,要求立即撤销非法措施,并关切耶路撒冷圣地现状遭到破坏。
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今天迪拜的PARKIN挂了,无法缴停车费? 今天在逛REDDIT的时候,发现有网友反馈 PARKIN好像挂了!~ 想交停车费,Parkin 自己的App不行,发短信也没响应,有人不得不换地方停车。
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迪拜酋长弟弟去世,享年76岁 迪拜酋长之弟谢赫艾哈迈德·本·拉希德·阿勒马克图姆辞世。他曾任迪拜警察和公共安全副主席、A.R.M. Holding集团及Dubai Real Estate Centre主席,亦担任Al Wasl FC俱乐部主席及前迪拜第二副酋长。 他生于1950年7月12日,是已故迪拜前统治者谢赫拉希德·本·赛义德·阿勒马克图姆幼子。1975年任中央军事区司令。2007年6月,在其任期内Al Wasl FC夺得2006/07赛季阿联酋联赛冠军。2021年6月,他协助Al Jalila Foundation建设Hamdan Bin Rashid Cancer Charity Hospital。 2026年9月21日,谢赫艾哈迈德去世。迪拜统治者宫廷宣布全迪拜进入为期10天的官方哀悼期,期间降半旗致哀。
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#柬埔寨资讯:中柬警方一年多持续追查中国籍涉案人员,数万人已被遣返回国 9月22日,柬埔寨内政部公布中柬警方过去一年多的执法合作情况。双方持续追查涉及网络诈骗、绑架勒索、非法赌博、非法越境、侵犯个人信息等案件的中国籍人员,并推进抓捕和遣返。 一批16名中国籍人员涉及网络诈骗、勒索等案件,柬埔寨警方查到14人,其中4人已经离境,10人仍在柬埔寨,另外2人没有入境记录。 另一批52人涉及网络诈骗、侵犯个人信息和非法越境,警方查到39人,其中9人已经离境,13人没有入境记录,1人已取得柬埔寨国籍。行动中还解救3名被限制自由、被迫从事网络诈骗的中国公民。 中方另外要求协查45名涉及纠纷、网络诈骗和非法赌博等案件的中国籍人员。柬方查到36人,其中16人已经离境,20人仍在柬埔寨,另外9人没有入境记录。仍在柬埔寨的人员中,1人已于2025年被捕并进入遣返程序。 另外两批各5名中国籍人员分别涉及非法吸收存款、色情犯罪、性侵等案件。其…
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#客户维权 Happy Word翻译软件涉嫌存在偷客行为! 有网友爆料,几位有资质的客户在充值后第二天就失联了。后来发现,有人冒充他们的助理老师联系客户,诱导客户在另一个平台进行充值。 还有客户反映,自己没有收到他们发出的消息,而实际上他们每天都会发送信息,只是客户收不到。客户回复的消息他们也收不到,疑似被翻译软件劫持。 尽管如此,相关客服坚称此事与他们无关。为了防止被偷客,他们的电脑上禁止业务员点开任何链接或文件,唯一允许使用的就是这款翻译软件。一旦客户有资质,就被直接“抢走”。
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【香港海关上半年缉获毒品5704公斤 同比上升49%】 2026年9月22日,据《南华早报》数据,香港海关今年上半年缉获非法毒品5704公斤,同比增长49%。 其中机场查获3408公斤(占近三分之二),海上航线查获1954公斤,同比分别增长46.6%及55.6%。大麻和氯胺酮约占总量60%,缉获量分别同比增长40%及78.8%。案件数量及被捕人数亦略有上升。
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#网友投稿:缅甸掸邦北部木姐的电诈经济正在快速退潮。 随着中缅警方持续清剿电诈窝点,大批涉案人员被抓捕或遣返,原本依靠园区生存的商家和务工人员也受到直接影响。 过去,木姐聚集了不少电诈园区,大量从业人员的高消费带动了餐饮、娱乐、租房、零售等生意,也把当地租金和物价推高。 现在,电诈窝点不断被端,主要消费人群大量减少,本地普通人的收入又撑不起原来的高消费和高租金,一些商家开始关门停业。不少专门服务园区的生意也跟着受影响,包括专属外卖、高档KTV、数码设备批发、偷渡和安保配套物流等。 上游电诈链条一断,依靠这些生意吃饭的本地人和外来务工人员,也随之失去收入来源。_
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#泰国新闻 【夜丰颂拜县河道发现60毫米未爆弹】 2026年9月22日,泰国夜丰颂府拜县警方联合军方及行政部门,在拜县孟邦镇河道区域发现一枚60毫米迫击炮弹。该炮弹为当地村民前一日捕鱼时发现,目前已呈损坏状态。当局已封锁现场并限制人员进入,等待中央排爆单位EOD前来处理。警方提醒民众勿靠近、勿触碰可疑物体,发现类似物品须立即报警。
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柬埔寨副总理高乐会见加拿大大使 探讨加强打击网诈合作 昨天,柬埔寨副总理兼司法部部长高乐会见加拿大驻柬大使克里斯蒂安·德罗什。 高乐介绍了柬政府在打击网诈方面的努力与成效,强调网诈属于新型跨国犯罪,需多国及相关方联合打击,柬方对国际合作持开放态度。 加拿大大使对柬埔寨的打击成果表示高度赞赏,并明确表示加方愿提供必要支持与合作。双方还一致同意进一步深化柬加两国的司法合作。
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柬埔寨干拉省桉树林发现男尸,身中数刀作案动机不明 2026年9月21日晚,干拉省昂斯诺县51号公路25公里处的桉树林发现一具男性遗体,男子身中数刀倒在血泊之中。当晚8时20分,路人路过发现险情,立刻向杜比乡以及昂斯诺县警方报案。 警方接到报案后连夜赶往现场勘查并封锁区域。9月22日上午,干拉省警局技术科学科法医到场开展细致尸检。现阶段警方还无法确认案件是仇杀还是谋财害命,作案动机暂无官方定论。相关调查工作持续推进中,后续会对外公布更多案件细节。 【事件见解】偏僻林地突发恶性命案,作案动机成谜,社会治安隐患不容忽视,警方需全力彻查!
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Showing the 12 most recent of 726 posts we hold for @chigua8198. 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.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“迪拜大事件曝光|迪拜新闻|东南亚吃瓜” (@chigua8198), 142,400 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/chigua8198.
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.