柔佛移民局首周遣返130名外国人 3名中国籍在列 马来西亚柔佛州移民局消息,2026年10月第一周,北干那那移民拘留中心遣返130名外籍人员,涉及违反刑事、毒品及移民法,均被遣返原籍。 其中印尼籍102人、印度籍10人、孟加拉籍9人、中国籍3人,其余来自新加坡、肯尼亚、摩洛哥、斯里兰卡及也门。所有人已列入黑名单,限期禁止再入境马来西亚。 在异国守规矩才是真护身符,签证再多也经不起一次违规。 #柔佛移民局 #马来西亚遣返 #北干那那拘留中心 #外国人黑名单 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot

Channel
华人|出海|交流
@hrchw
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
102,553subscribers
-2,554 since we began measuring on 5 October 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
Register entry
| Telegram ID | -1001585323135 |
|---|---|
| Type | Channel |
| Username | @hrchw |
| Description | 全天推送突发事件、灰产内幕最新资讯。 专注海外华人曝光、悬赏、求助、吃瓜。 【最新】 实时追踪区域动态 【最快】 突发新闻极速直达 📰 覆盖内容: #华人 #出海 #交流 🌏 覆盖区域: #东南亚 #柬埔寨 #泰国 #缅甸 #菲律宾 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 5 October 2026 |
| Last confirmed live | 9 October 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 9 October 2026 |
| On Telegram | t.me/hrchw |
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 5 October 2026 and assigned it the closest of 31 fixed categories, at 65% 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 |
|---|---|---|
| 9 Oct 2026, 09:56 | 102,553 | -2,554 |
| 5 Oct 2026, 21:22 | 105,107 | first reading |
Engagement
222 posts held, back to 5 October 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 14 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.087%
- avg views ÷ 102,553 subscribers
- Avg views / post
- 89.5
- 222 posts measured
- Reaction rate
- 12.9%
- reactions ÷ views · ER floor
- Posts in window
- 222
- of 222 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 198 of 222 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 October 2026 |
|---|---|
| Posts held | 222 (5 October 2026 – 12 October 2026) |
| Views total | 19,860 |
| Reactions total | 2,352 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Oct 2026, 10:21 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
- ≈22,500
- Videos
- ≈4,210
- Links
- ≈3,680
Lifetime counters from Telegram’s own channel header, read 12 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
- 1h 17m
- Average length
- 2m 46s
Measured directly from 28 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
2,352 reactions across 198 posts, in 8 distinct kinds. The most used accounts for 13.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🎉 | 321 | 13.6% | |
| 👍 | 306 | 13.0% | |
| 🔥 | 300 | 12.8% | |
| ❤ | 293 | 12.5% | |
| 🤩 | 292 | 12.4% | |
| 🥰 | 290 | 12.3% | |
| 😍 | 285 | 12.1% | |
| ❤🔥 | 265 | 11.3% |
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 198 of the 222 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 2,352 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 222 most recent posts we hold, published 5 October 2026 to 12 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
巴吞他尼府12号运河闸门开放2小时后重关 泰巴吞他尼府与那空那育府交界处12号运河闸门10月12日仅开放2小时即重关。那空那育府翁卡叻县民众要求加大放水量,不满先前协商结论,两府水资源争端再起。 下午1时30分,汕纳叻市市长与灌溉厅人员依协议关闸。协议还规定开启13号运河口2扇闸门各20厘米,关闭法玛拉差闸门及13号运河虹吸闸门,10至11号运河北侧各关10厘米以减缓水流。那空那育府村民代表将监测水位至周三,若未改善再提开闸。巴吞他尼府行政机构主席协调并下令沿线监控水位、备好抽水设备。 上下游拉锯仍将继续,放水之争何时休? #巴吞他尼府 #运河闸门 #那空那育府 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
拉合尔突查7处非法呼叫中心 281人被捕12名中国籍涉案 巴基斯坦国家网络犯罪调查局近日在拉合尔突击检查7处涉嫌违法呼叫中心,当场逮捕281人。涉及金融诈骗、网络骚扰及“蜜陷阱”骗局,外籍人员含中国籍12名、菲律宾籍5名等。 警方查封362部手机、191台电脑、74台笔记本及550张SIM卡等证据,已送交数字取证。当局将加大打击非法呼叫中心力度,案件仍在深入调查。 跨国诈骗套路深,非法“客服”莫沾边! #拉合尔 #呼叫中心 #金融诈骗 #蜜陷阱骗局 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
😍3❤2🤩2🥰2👍1
柬埔寨持续严打网诈与人口贩运 呼吁国际客观评估 柬埔寨国家打击人口贩运委员会常务副主席周布恩英表示,正持续加大打击网络诈骗和人口贩运力度,已对犯罪团伙及涉案官员采取法律行动并移交法院,同时呼吁国际社会对该国治理成效作出准确、客观的评估。 在受害者保护方面,柬埔寨持续提供救助服务并与民间组织合作,同时面向公众及执法人员加强宣传教育,提升各方对跨国犯罪的防范意识,推动建立更有效的预防应对机制。 打击跨国犯罪需要全球协作,你认为国际评估是否足够客观? #柬埔寨 #网络诈骗 #人口贩运 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
陆兆福否认交通部曾会晤亚航 求援传闻与交通部无关 交通部长陆兆福在布城澄清,交通部过去两至三周未与亚洲航空会面,也未达成任何协议。政府可能向亚航提供援助的传闻与交通部无关。 陆兆福指出,若近期有相关会谈,可能由财政部主导。同时宣布继续推行乡区航空服务计划,提供2亿900万令吉补贴,该服务将由婆罗洲航空接手营运。 传闻满天飞,官方火速划清界限,真相到底在哪? #马来西亚新闻 #亚航 #陆兆福 #交通部 #乡区航空服务计划 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
🎉3❤2🔥2🤩1🥰1😍1
东南亚敛财警示:电诈大佬覆灭,普通人如何守住钱袋子 缅北电诈园区被一窝端,曾一手遮天的大佬纷纷落网。坐拥同等财富地位,你真能稳住心态吗?有钱容易飘,高调张扬终会引火烧身。 几点实在建议:赚到预定数目及时收手,待得越久风险越高;不吹嘘不露富,收敛锋芒;圈子纷争别掺和,不做出头鸟;认清自身分量,别妄想与当地势力硬碰硬。 钱再多,平安脱身才算真赚到。沉住气、收住贪念,财富才真正属于你。你觉得赚多少才算够? #东南亚 #财富警示 #华人圈 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
👍3❤2🔥2🎉1🥰1😍1
泰国教师调动被爆索贿30万泰铢 泰国独立学者威里亚在社交平台爆料,教师调动环节再现索贿。有人提议支付30万泰铢换取东北部地区岗位,直接绕开官方TRS系统,走额外渠道操作。 威里亚称,TRS系统原本已堵住漏洞,但如今索贿手段回潮。联系人声称付款是奉高层指示,理由竟是TRS系统操作太繁琐。目前教育部门尚未对此事作出回应。 制度堵了,人心没堵,这30万到底进了谁的口袋? #泰国新闻 #教育腐败 #教师调动 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
👍5❤3❤🔥3😍3🔥2🤩2🎉1🥰1
菲律宾卡拉巴松156万最低工资工人涨薪 菲律宾卡拉巴松地区宣布自10月26日起,约156万名最低工资工人日薪最高上调45比索,每月多拿约1170比索,具体涨幅依行业和市镇分类而定。 约20.1万名家庭帮工月薪增加750比索,新最低月薪达7500比索,涵盖住家及非住家保姆、厨师、园丁等,家庭司机和临时工除外。劳工部长承诺严查执行情况。 低收入群体的生活压力能否因此缓解? #菲律宾新闻 #涨薪 #最低工资 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
❤2❤🔥2👍2🥰2🤩1😍1
缅甸大其力严查中国人 外出务必谨慎 缅甸大其力近期检查频繁,抓人情况增多。兄弟姐妹们尽量减少不必要外出,没必要的热闹别凑,待在安全地方最稳妥。 出门前留意周边情况,随身带好有效证件。遇到检查保持冷静,配合合法核查,海外安全永远是第一位。 异国他乡,平安才是最大的本钱! #缅甸 #大其力 #海外安全 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
🤩6🎉4🥰4🔥2😍2❤1❤🔥1
柬埔寨雨季10月第三周结束 官方急召全民节水 柬埔寨水源气象部最新通告,今年雨季将于10月第三周正式收尾。随着西南季风逐步向东北季风过渡,降雨量明显减少,旱季即将登场,民众日常用水和农业灌溉将受直接影响。 受西太平洋及印度洋气温波动影响,厄尔尼诺现象预计持续至明年2月,期间仅有零星雷阵雨。官方强烈呼吁大家提前储水、合理管理水源,应对长期少雨天气。 旱季缺水不是玩笑,赶紧囤水备耕! #柬埔寨 #雨季结束 #厄尔尼诺 #节水抗旱 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
🔥4🤩4❤🔥3🎉3👍3❤2🥰1
美助理国务卿访缅提五大诉求 美国助理国务卿迈克尔·万斯9月访缅,与缅甸总统敏昂莱会晤。美方就当前局势提出多项严正要求,直接影响缅政局走向及区域安全。 美方要求缅方与民族团结政府对话接触,全力清剿电诈园区,切实降低国内武装冲突,加强与民族地方武装的政治接触,并释放所有政治犯。 缅甸乱局能否迎来转机? #美国 #缅甸 #国际新闻 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
🎉4❤2👍1🔥1🥰1😍1
泰国暴雨山洪冲皮卡坠深坑 僧侣1人失踪 10月11日凌晨,泰国巴陶县暴雨引发山洪,一辆载有僧侣、尼姑及信众的皮卡失控坠入6米深坑。事发时车上8人正前往普吉寺,7人获救,1名30岁僧侣失踪。 救援队历时4小时打捞车辆,潜水员仍在搜寻,推测失踪者不会游泳恐沉底。获救者称山洪迅猛,众人攀爬树木牛栏逃生;65岁司机称水流急车辆旋转坠坑。 洪水无情,愿平安! #泰国新闻 #山洪 #救援 🔔频道订阅|实时资讯推送: @hrchw 😍爆料投稿|联系在线客服: @jieshakfbot
😍4🔥2🤩2❤🔥1🥰1
Showing the 12 most recent of 222 posts we hold for @hrchw. 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.
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 9 October 2026 — this entry's latest reading, not the date you are reading this.
“华人|出海|交流” (@hrchw), 102,553 subscribers as measured 9 October 2026. Telegram Register, tgregister.com/channel/hrchw.
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.