#新加坡资讯:新加坡警方打掉一跨国卖淫团伙 今天,新加坡警方对外宣布,经过长达两年时间的调查,新加坡警方与泰国警方合作打掉了一个跨国卖淫团伙。 据披露,该团伙长期以来招募外籍女性再将她们送来新加坡从事性交易,至少有76名性工作者被该团伙笼络从事非法性交易活动。 最终,警方逮捕了包括2名新加坡男子和1名泰国男子在内的共3名团伙主犯,并扣押三名嫌犯总值超过2000万泰铢的财产。 目前,该案正在进一步处理中。 📣 订阅 ↓东南亚狗推大队群🔥 🔗 https://t.me/Mxl09014101 😍投稿澄清爆料: @jnhmoka

Channel
社会新闻全知道
@jnhxinwen
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3subscribers
-1 since we began measuring on 13 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002732270861 |
|---|---|
| Type | Channel |
| Username | @jnhxinwen |
| Created | 16 June 2025 — measured — dated from the channel’s first post |
| First recorded | 13 August 2026 |
| Last confirmed live | 15 September 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 15 September 2026 |
| On Telegram | t.me/jnhxinwen |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Sept 2026, 08:57 | 3 | -1 |
| 14 Aug 2026, 11:36 | 4 | no change |
| 13 Aug 2026, 09:32 | 4 | first reading |
Engagement
10 posts held, back to 16 June 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 19 June 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Video runtime
- 14s
- Average length
- 14s
Measured directly from 1 video 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
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 2 of the 10 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 16 June 2025 to 19 June 2025, 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
#重磅消息 大规模数据泄露事件曝光 涉及 160 亿条登录信息 安全研究人员近日发现史上最大规模的数据泄露事件之一,共涉及高达 160 亿条登录凭证,其中包括Apple、Facebook、Google、GitHub、Telegram 以及各种政府服务。该发现被描述为对个人账户安全构成严重威胁。 此次泄露的数据包含 30 个数据集,其结构清晰且数据较新,并非旧数据的简单重复。研究人员指出,数据格式(网址、用户名、密码)表明,其来源很可能是专门窃取登录信息的恶意软件。 📣 订阅 ↓东南亚狗推大队群🔥 🔗 https://t.me/Mxl09014101 😍投稿澄清爆料: @jnhmoka
❤1
#泰国资讯/泰国暴雷?近40名在泰中国人被捕!泰国春武里府一公寓楼“出大事”! 6月16日晚上到17日凌晨,春武里府移民警察局联合芭堤雅市警察局、芭堤雅旅游警察局以及当地政府官员,对挽腊茫郡Nongprue街道Moo 9一处A字母开头的公寓内的非法赌博窝点发起突击搜查。 调查结果显示:该酒店是一栋八层建筑,不同区域存在不同违法行为。 一楼是休息室和接待区,有泰国员工负责接待预订;二楼为赌博区,警方发现20名外籍赌客,包括16名中国人、3名越南人、1名新加坡人,现场有牌桌设备及大量现金筹码、还有几部手机。 而3-7楼为房间,因违反移民法2522年法令及外籍劳工雇佣管理紧急法令2560年法令而被起诉的人员共计24人,其中,中国籍16人、新加坡籍2人、柬埔寨籍1人、缅甸籍5人。 8楼是六名中国人上网办公的区域,经查,电脑中的信息显示,他们是复制并发送链接给中国私营企业的员工,这些链接供中国私营企业点击发送和电信诈骗及赌博相关…
西港一盘口宿舍被烧 今天上午9点左右,西港海豚附近一盘口宿舍起火,当地消防出动数台消防车前往扑救,最终扑灭了火情。起火原因及损失情况暂不明确。 PS:狗窝都被烧了 📣 订阅 ↓东南亚狗推大队群🔥 🔗 https://t.me/Mxl09014101 😍投稿澄清爆料: @jnhmoka
柬埔寨国防部:决心不惜一切代价捍卫领土完整 昨天,柬埔寨国防部发表声明,严厉批评泰国军方不断升级在边境地区的挑衅行为,并严正警告称,柬埔寨绝不容许任何形式的侵犯,军队将不惜一切代价,坚定捍卫国家主权和领土完整。 柬国防部指出,在刚刚结束的柬泰联合边界委员会(JBC)会议上,柬泰两国就双方需履行的事务达成共识。但是,泰方并未履行协议,反而变本加厉侵犯柬埔寨领土和主权。泰方在靠近柬埔寨柏威夏省和奥多棉芷省边境地区加强无人机活动,挖掘战壕,增加和调动各类支援武器和兵器、修建基础设施、增加士兵人数,对两国和平安全构成严重威胁。 柬国防部声明,军队支持柬埔寨政府根据国际法以和平方式解决争端的立场,坚定地尊重邻国主权,决心把边境地区变成和平地区,但绝不允许任何国家的侵略企图,决心不惜一切代价捍卫领土完整。 📣 订阅 ↓东南亚狗推大队群🔥 🔗 https://t.me/Mxl09014101 😍投稿澄清爆料: @jnhmoka
泰国这是杀疯了?诈骗1.4万人!20年历史的外籍电诈集团在泰国覆灭! #泰国资讯:6月17日,泰国中央调查局(CIB)联手澳大利亚联邦警察(AFP)、移民局、自然资源与环境部打击犯罪司及技术犯罪打击部门,发起代号“火风暴”的突袭行动,在北榄府挽披县一处民宅成功捣毁一个电信诈骗窝点,现场逮捕13名外籍嫌犯,涉及澳大利亚、英国、加拿大、南非等多国公民。 警方查获笔记本电脑、网络设备、诈骗脚本、手机等共计58件证物。初步认定,该团伙涉嫌非法从业、逾期滞留、组织犯罪等多项罪名,目前已被依法提控。 据澳方提供的线索:该团伙伪装成“投资顾问”,专门诱骗澳大利亚民众参与虚假债券投资,声称回报率可达7-10%,周期仅1-3年。 截至目前:已有超过1.4万人上当受骗,累计损失高达4000万泰铢。 更令人震惊的是,这一团伙从业已有20年经营历史,曾在澳大利亚和印尼活跃。 此前AFP曾在印尼试图抓捕其中两名头目,但对方成功逃逸,并悄然将诈…
泰国没有响应洪森的24小时通牒 昨天上午,柬埔寨参议院主席洪森向泰国发出通牒,要求其24小时内必须全面开放边境口岸,否则,柬埔寨将对泰国的蔬菜、水果等农产品进入柬埔寨予以全面禁止。 不过,目前距离洪森的通牒已经过去24小时,但泰国方面似乎对其通牒不为所动,依然在继续关闭(有限度开放)泰柬众多边境口岸。 #因此今天起,柬埔寨各边境口岸将开始全面禁止所有来自泰国的水果蔬菜。据柬媒报道,今天上午国公省口岸已经禁止泰国的蔬菜和水果通过该口岸进入柬埔寨。 📣 订阅 ↓东南亚狗推大队群🔥 🔗 https://t.me/Mxl09014101 😍投稿澄清爆料: @jnhmoka
#来自一位单亲妈妈的寻人启事 #东风园区 #泰昌园区 照片中人真实名字是 李涛 在外外号 图图 家乐。贵州人,现17岁。 2023年 告诉我们要去浙江上班 想着孩子也长大了 离开了学校是应该让自己去磨练一下,就没有在他身边守护者他,但是没想到的是,这一决定让我们悔恨终生。 刚开始的半年期间,几乎每天都会和家里面保持联系,偶尔也会给我转点钱,后来他开始慢慢的找我拿钱,我和他爸爸已经离婚很多年了,他爸爸从来不会管他,一直都是我在负责,但是很多时候我也是有心无力,只能把空闲的钱拿给他用,一次性几百上千,他告诉我他需要10几万。 我感觉到了不对,尝试给他打电话,没人接听。后来断断续续的会给我发一个信息,我回复了之后也没人回复,直到最后彻底的失去了任何联系。 经过多方面的了解和打听了解到最开始是在一个叫做东风园区的地方—-公司追风集团改名—纵赢集团—永胜集团—后来被转移到了同样在妙瓦底的泰昌园区。 自从听他的朋友大概描述泰昌园…
Channel photo updated
Channel created
Showing the 10 most recent of 10 posts we hold for @jnhxinwen. 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 15 September 2026 — this entry's latest reading, not the date you are reading this.
“社会新闻全知道” (@jnhxinwen), 3 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/jnhxinwen.
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.