#泰国新闻 泰国查处一电子垃圾工厂,抓获22名中、缅非法劳工 泰国春武里府多部门联合出击,突击搜查BanBueng县Nongerun镇一间电子垃圾回收厂。早前有村民向府尹投诉,工厂常有货车出入,院内堆积大量废料,还怀疑有外籍劳工在此私自熔炼金属。 执法队伍先封锁厂区外围,派人把守各个要道,还穿过池塘堵住工厂后方的出逃通道后才进场突击。不少劳工见到人员到场试图逃跑,但去路已经被封。这次行动一共查出22名非法劳工,其中4名中国籍、18名缅甸籍。 涉案人员已经移交BanBueng警局,依据2017年《外国人工作管理紧急法令》及其修订案处置,雇主也会被依法起诉。至于工厂有没有违规熔炼金属、废料处置是否违法,有待相关部门核验后再做后续处理。

Channel
东南亚新闻热点曝光社
@JPZXWB
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
233,318subscribers
+12,024 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001604279630 |
|---|---|
| Type | Channel |
| Username | @JPZXWB |
| Description | 聚焦时事 共享本地资讯 商务合作 投稿爆料: @xuemeiniang1 @SamanthaMyers4503 |
| Created | Between 1 November 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 October 2026 |
| Measurements held | 41 |
| Confirmed unchanged | 1 time, most recently 17 October 2026 |
| On Telegram | t.me/JPZXWB |
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 47% 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 |
|---|---|---|
| 17 Oct 2026, 22:40 | 233,318 | +865 |
| 16 Oct 2026, 20:18 | 232,453 | -756 |
| 15 Oct 2026, 17:14 | 233,209 | +1,225 |
| 14 Oct 2026, 16:00 | 231,984 | +368 |
| 13 Oct 2026, 06:38 | 231,616 | -791 |
| 9 Oct 2026, 02:54 | 232,407 | -922 |
| 4 Oct 2026, 12:58 | 233,329 | +2,966 |
| 26 Sept 2026, 02:21 | 230,363 | -746 |
| 17 Sept 2026, 11:39 | 231,109 | +4,937 |
| 15 Sept 2026, 08:38 | 226,172 | -1,377 |
| 13 Sept 2026, 15:20 | 227,549 | +3,489 |
| 11 Sept 2026, 19:58 | 224,060 | -2,332 |
| 9 Sept 2026, 11:59 | 226,392 | +795 |
| 6 Sept 2026, 06:36 | 225,597 | -623 |
| 3 Sept 2026, 21:14 | 226,220 | +1,648 |
| 2 Sept 2026, 10:45 | 224,572 | -347 |
| 1 Sept 2026, 11:48 | 224,919 | +324 |
| 31 Aug 2026, 14:47 | 224,595 | -917 |
| 30 Aug 2026, 16:38 | 225,512 | +110 |
| 29 Aug 2026, 19:38 | 225,402 | first reading |
Engagement
1,210 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 147 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.39%
- avg views ÷ 233,318 subscribers
- Avg views / post
- 5,580
- 539 posts measured
- Reaction rate
- 0.057%
- reactions ÷ views · ER floor
- Posts in window
- 539
- of 1,210 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 92 of 539 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 18 October 2026 |
|---|---|
| Posts held | 1,210 (7 August 2026 – 18 October 2026) |
| Views total | 3,007,036 |
| Reactions total | 191 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Oct 2026, 11:19 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
- ≈18,400
- Videos
- ≈374
- Links
- ≈27
Lifetime counters from Telegram’s own channel header, read 18 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
- 8m 05s
- Average length
- 7s
Measured directly from 70 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
568 reactions across 269 posts, in 9 distinct kinds. The most used accounts for 15.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤩 | 89 | 15.7% | |
| 🔥 | 71 | 12.5% | |
| 👏 | 70 | 12.3% | |
| 😁 | 64 | 11.3% | |
| ❤ | 60 | 10.6% | |
| 🥰 | 58 | 10.2% | |
| 👍 | 56 | 9.86% | |
| 🎉 | 52 | 9.15% | |
| ⚡ | 48 | 8.45% |
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 271 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 568 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 18 August 2026 to 18 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
#柬埔寨新闻 西港宪兵破获毒品案 4名柬印籍嫌疑人落网 西哈努克省宪兵展开突击行动,在西哈努克市2分区3村一处出租屋,打掉一起藏匿、贩卖和吸食毒品的案件。执法人员当场抓获四名嫌疑人,三男一女,包含两名印尼籍、两名柬埔寨籍人员。现场缴获近200克各类毒品、吸毒与制毒工具、七台手机、三辆摩托车以及其他涉案物品。嫌疑人连同全部证物已经整理卷宗,移交相关部门依法处置。
#柬埔寨新闻 洪森青年志愿医生协会在白马省开展义诊 洪森青年志愿医生协会在白马省达姆纳占昂县蓬德乡奔良村的洪森占嘉敦中学举办义诊,一共服务3216名当地民众,提供免费看诊治疗。 这场活动由协会执行主席苏西帕纳助理教授主持,他作为碧珍莫尼·洪玛奈夫人的代表到场。中国驻柬埔寨大使馆代表、白马省省长夫妇以及多名官员、地方代表一同出席。苏西帕纳现场转达洪玛奈首相与夫人对乡亲们的关心,还提到柬中是铁杆朋友,协会过往多次收到中国使馆提供的资金、器械和药品援助,助力义诊工作。 白马省省长感谢志愿团队和合作方,称这类公益义诊可以减轻困难民众的就医负担。YHS Cambodia公司也向当地民众捐赠豆奶、果汁、咖啡、饮用水等物资。这是该协会第二次在白马省举办大型义诊,2016年的时候,就曾在当地为四千多名民众提供医疗服务。
#柬埔寨新闻 哈萨克斯坦旅游公司拟恢复阿斯塔纳至西哈努克市航线 哈萨克斯坦Selfie Travel Asia旅游公司负责人库尔萨德·巴基尔,有意重启阿斯塔纳往返西哈努克市的旅游航线。2026年10月17日,正在哈萨克斯坦访问的柬埔寨首相洪玛奈接见了他。 这家旅游公司2016年成立,总部设在哈萨克斯坦,主营旅游接待、目的地推广,在埃及、土耳其、泰国、越南、中国等多地设有办事处,和中亚多国旅游机构长期合作。库尔萨德·巴基尔向洪玛奈介绍业务时提到,2024年之前公司已经运营过这条航线,现在希望重新开通,期待获得柬方政府的支持,稳定运营并取得收益。 洪玛奈对这项计划表示欢迎,让该公司直接对接柬埔寨旅游部洽谈细节。他建议对方设计有竞争力的旅游配套产品,柬埔寨拥有滨海、古迹、生态等多样旅游资源,政府会支持旅游企业发展,希望双方紧密配合,把航线计划落地。
#泰国新闻 泰国加速建设回收工业区应对废弃物 泰国工业部长瓦拉乌表示,经济发展不能牺牲环境,当局正加紧整治非法工业废料问题。现有部分法规沿用四五十年,原先最高罚款仅20万泰铢,低于废料合规处理成本,不少厂商宁可受罚也不愿规范处置。工业部着手修订《工厂法》及废料管理相关条例,联合多部门强化追责,追查资金流向、查封相关资产,计划把最高罚款提升至八位数,倒逼工业废料送入正规处理渠道。 同时,太阳能板、电动车电池这类清洁能源设备即将迎来报废潮,短期之内会产生大量废弃物。泰国加快打造回收工业区,集中收纳危险废料处理厂,配套统一污水处理设施与全天监控,防止电池、光伏板、电子垃圾随意混杂堆放。退役动力电池经过处理还可以二次利用作为储能设备,无法再使用的部分则按规范无害化处置。 工业部也推行AI²理念,把高新工业技术和农业结合。泰国三成劳动力集中在农业,但农业产出占GDP仅约百分之八,当局希望借助AI缩小发展差距,从土壤、灌溉、气象监测,到…
#柬埔寨新闻 柬埔寨桔井省破获一起非法木材囤积案 柬埔寨柏林野生动物保护区管护人员,在桔井省桑博县磅湛乡查获一批非法囤积木材。2026年10月17日清晨五点,执法人员开展打击自然资源犯罪巡逻,在安隆本区域找到一处私囤木材的据点。 经清点丈量,这批木材合计4.13立方米,包含珍贵木材以及二类婆罗木、硕劳木,其中方木31根共1.62立方米,木板157块共2.51立方米。查获木材已经运到奥克鲁分站暂存,后续将依据《自然保护区法》走法律流程,同时追查涉案人员。
#泰国新闻 陶公府爆发枪战致2死2伤,泰南三府接连出现暴力袭击 10月17日上午,泰国安全部队在陶公府执行管控任务时和武装人员激烈交火,一名警长殉职,两名准军事人员受伤,一名武装人员被击毙。事发后安保力量立刻封锁现场、救治伤员,同时呼吁民众远离事发地带。 近三天里,泰南陶公府、北大年府、惹拉府接连出事。16日北大年府一名地方防卫志愿人员在路上遭伏击,最终两人身亡;15日惹拉府防卫队驻地遭到炸弹袭击,五人受伤。当地安全形势持续紧张,军警已经加大巡逻戒备,追查幕后武装团体。打算前往泰南的人需要留意安全通告,避开袭击多发区域、检查站和军事点位。
#柬埔寨新闻 洪玛奈抵达哈萨克斯坦,开启正式访问 柬埔寨首相洪玛奈偕夫人碧占莫妮,以及高级代表团抵达哈萨克斯坦首都阿斯塔纳,正式开启本次访问行程。哈萨克斯坦当地时间10月17日上午,总统托卡耶夫为洪玛奈举办隆重的欢迎仪式。仪式结束后,两国元首在随行官员陪同下展开双边会谈。访问期间,洪玛奈还将会见哈萨克斯坦其他高层领导人。
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8345717102
#柬埔寨新闻 柬埔寨高官出面澄清军官编号被误传一事 近期社交平台流传消息,称萨索瓦尼中将和亨武提中将的军官编号重复,引发不少误会,也可能影响两位军官的声誉。萨索瓦尼中将特意出来澄清,他的正式军官编号是058857,记载在2017年2月24日的第221号王令以及相关晋升文件里,有官方材料佐证。网上和他名字绑定的001213并不是他的编号。 他也呼吁网友,转发这类信息之前,先确认消息和文件真假,不要传播不实内容。
#柬埔寨新闻 柬埔寨柴桢市开会敲定第六届分区理事会选举候选人名单 10月17日上午,柴桢市党委会召开常委会,审核确定本市7个分区、2027年第六届分区理事会选举的候选人排序。会议由柴桢市党部工作组组长朱穆尼主持,副组长龙森以及各分区负责人到场参会。 会上逐一核验候选人资格,敲定正式候选人以及候补候选人的名单顺序。会议要求全程依照党章和相关规定推进,保证名单准确、各方达成共识。这份名单是备战2027年选举的重要准备,保障党组织持续在七个分区开展治理建设,更好服务当地民众。
#泰国新闻 涉嫌洗钱超5亿元,中国通缉犯在泰国藏匿近4年后被捕 10月17日泰媒消息,泰国移民局在曼谷抓获一名被中方通缉的37岁中国籍男子吴某。他涉嫌加入跨国洗钱团伙,涉案资金流转总额超过5亿元人民币,还在泰国非法逾期居留3年8个月。 吴某主要帮犯罪集团做数字货币、外币兑换,经手133个银行账户,还帮同案人员安排签证方便跨境逃窜。为躲开追查,他伪造居住地址、更换车牌、给车辆改色来隐藏行踪,最终在兰甘亨一带的豪宅里被抓获。 泰国移民局依照当地移民法对他提起滞留相关指控,走完法律流程后,会把他遣送回中国,交由中方继续查办。泰国移民局也称,会持续和各国执法单位交换情报,严防泰国变成跨国嫌犯的藏匿据点。
Showing the 12 most recent of 1,210 posts we hold for @JPZXWB. 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
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 2,014,86978 posts爆分频道-永利国际
@ylbf66 · 29223 posts永利国际-赌坛
@yonglidutan · 49,47223 posts九博国际 · 公群导航
@jbgj · 18,40422 posts🏆九博国际@JBGJ🏆上下分群 总押900万美金
@jiubovip · 8,66622 posts78.COM-官方频道@DF78
@tg78com · 28,26119 posts8K国际 官方频道
@SSVIP8K · 19,83713 postsJ.VIP官方频道 担保200万美金
@jvip888 · 3,24310 postsUZ娱乐 电子捕鱼彩票世界杯真人棋牌
@UZcom_789 · 99210 postsUZ.com | 中文官方频道®️
@uzcom_cn · 3,39410 posts🌐 000 体育-官方频道
@ty000 · 2409 postsN1官方品牌频道
@pg113 · 4,2257 postsPGAPP官网频道
@PGAPP666 · 11,5137 postsV6娱乐
@HT_V6 · 3,9255 posts8T娱乐城 官方-频道
@www8tcom · 30,6495 posts一元云购 · VIP交流群
@yyygjlq · 4,3895 posts一元云购 · 官方导航
@yyygpd · 5,8525 posts2028122.COM- 2028体育官方频道
@pg115 · 15,2784 posts2028234.COM-2028体育官方频道
@pg121 · 10,1124 postsU8国际频道
@U8bai_com · 393 postsU8国际-官方频道
@u8968 · 1,0362 posts戒赌吧
@dutai · 14,3821 post关于鸟叔诈骗犯言论特此声明
@nslj444 · 111 post天富娱乐官方频道🧧
@tianfuhb · 1,9311 post
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
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@JPZXWB 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 5 posts, 25 August 2026 – 6 September 2026
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 17 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚新闻热点曝光社” (@JPZXWB), 233,318 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/JPZXWB.
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.