海外华人头条 pinned a photo

Channel
海外华人头条
@hwhrtt
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
71,218subscribers
+20,946 since we began measuring on 14 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001181311850 |
|---|---|
| Type | Channel |
| Usernames | @hwhrtt @jpzzgr |
| Description | 群 @jpzjy 投稿联系 @konglaoer 柬埔寨二手频道 @jpzessc 柬埔寨商户外卖大全 @jpzzg |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 14 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 51 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/hwhrtt |
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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 |
|---|---|---|
| 18 Sept 2026, 19:57 | 71,218 | -64 |
| 18 Sept 2026, 03:22 | 71,282 | -112 |
| 16 Sept 2026, 13:20 | 71,394 | -4 |
| 15 Sept 2026, 23:39 | 71,398 | -130 |
| 14 Sept 2026, 17:59 | 71,528 | -24 |
| 14 Sept 2026, 08:18 | 71,552 | -90 |
| 13 Sept 2026, 06:39 | 71,642 | -43 |
| 12 Sept 2026, 16:58 | 71,685 | -153 |
| 11 Sept 2026, 07:55 | 71,838 | -89 |
| 10 Sept 2026, 12:59 | 71,927 | -157 |
| 8 Sept 2026, 15:58 | 72,084 | -100 |
| 7 Sept 2026, 08:59 | 72,184 | -106 |
| 5 Sept 2026, 12:20 | 72,290 | -51 |
| 4 Sept 2026, 11:21 | 72,341 | -46 |
| 3 Sept 2026, 11:00 | 72,387 | -18 |
| 3 Sept 2026, 01:42 | 72,405 | -6 |
| 2 Sept 2026, 04:35 | 72,411 | -59 |
| 1 Sept 2026, 23:07 | 72,470 | -14 |
| 1 Sept 2026, 04:59 | 72,484 | +1,292 |
| 1 Sept 2026, 02:26 | 71,192 | first reading |
Engagement
701 posts held, back to 14 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 80 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.05%
- avg views ÷ 71,218 subscribers
- Avg views / post
- 747
- 491 posts measured
- Reaction rate
- 0.131%
- reactions ÷ views · ER floor
- Posts in window
- 530
- of 701 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 41 of 491 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 | 701 (14 August 2026 – 23 September 2026) |
| Views total | 366,674 |
| Reactions total | 32 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 01:27 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
- ≈20,600
- Videos
- ≈3,740
- Links
- ≈219
Lifetime counters from Telegram’s own channel header, read 24 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.
- Video runtime
- 1h 57m
- Average length
- 48s
Measured directly from 146 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
40 reactions across 37 posts, in 4 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 80.0% | |
| 🤡 | 4 | 10.0% | |
| 👍 | 2 | 5.00% | |
| 💩 | 2 | 5.00% |
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 49 of the 701 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 40 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 701 most recent posts we hold, published 14 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.
Recent posts
🔮 看比赛,别只凭感觉。 ⚽️ 体育|🏀 篮球|🎮 电竞 AI自动分析每一场重点赛事: 🔥 近期状态 🔥 历史交锋 🔥 阵容变化 🔥 比赛背景 🔥胜负走势 🔥 比分预测 复杂的数据交给AI,你只看结论。 半仙儿赛事分析机器人 @tiyuzhijia888bot 🔥🔥半仙儿推荐🔥🔥 🔥🔥云霄体育娱乐游戏🔥🔥 ✔️稳定流畅|专业系统持续护航 ✔️ 便捷高效|操作清晰,响应迅速 ✔️ 安全可靠|多重机制守护体验 🎰电子,🐠捕鱼,🎴棋牌,⚽️体育,👩🏻💼真人,🎮 电竞, 应有尽有 🛡官方指定飞投🛡: @yunxiaotiyubot
#中国驻斯使馆报道:中秋国庆将至!中国驻斯里兰卡使馆发布假期安全提醒 中秋、国庆假期临近,中国驻斯里兰卡使馆提醒计划赴斯里兰卡的中国公民,提前做好安全准备,遵守当地法律法规,平安出行。 赴斯前要提前了解签证及出入境规定。赴斯务工人员应在国内提前办好相应签证,切勿持旅游签入境务工,也不要通过非正规渠道办理签证。 出行期间注意交通和天气安全。斯里兰卡部分偏远地区道路条件较差,遇恶劣天气应减少外出,长途旅行建议选择正规旅行社和车辆。乘坐小火车时不要靠近车门,更不要将身体探出车外拍照。 目前斯里兰卡登革热形势较为严峻,游客应做好防蚊措施,注意环境卫生,如出现疑似症状及时前往正规医院检查。 游泳、潜水等项目应选择正规、安全场所,不要擅自前往未开发或缺乏安全保障的区域。旅游期间尽量结伴出行,避免深夜前往偏僻地点,贵重物品、现金和银行卡不要随意放置,遇到盗抢首先确保人身安全并及时报警。 购买宝石等贵重商品时,应选择正规…
海外华人头条 pinned a photo
🔤🔤🔤🔤🔤🔤🔤🔤 😍 想赢钱!上凯旋 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 😍 新人:首存500即送68$ 😍 复存:二存三存再送8888$! 😍 充值:每日首存加赠5% 周周彩金 😍 反水:实时领电子反水1.3%起 😍 回归:回归充值打码巨额福利 🩷❤️🧡💛💚🩵💙💜🖤🩶 🌶 实力保障: 品牌信誉 全网监督 🌶代理55%返佣!无套路秒结算 👠爆率在线 麻将1 麻将2 赏金大对决 👠2026首创:PA真人秒提112万U,秒到账 👠秀翻全场: BBIN赌神附体单笔提款125万U 👠运气爆棚:木牌大佬PP电子爆奖90万U 👠拍案叫绝:西港某主管BBIN狂揽115万U 1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣1️⃣ 😂 官网: KX.TOP 😍 客服:@KXOK8 😍 招商:@KX999 😍 频道:@KXGGG
#缅甸资讯:瑞格约诈骗窝点拆了又开:旧址复工、新楼不断,Telegram持续招人 9月23日,缅甸克伦邦妙瓦底北部瑞格约(水沟谷)的诈骗窝点再次活跃。旧据点重新开工,外围不断出现新建筑,Telegram上的招聘信息持续增加。 今年以来,瑞格约城区、妙瓦底第2区、第4区和周边区域陆续出现新的诈骗据点。部分团伙回到旧址重新组建团队,部分转移到新建楼房继续运营。 瑞格约外围原本建筑不多的区域已经盖起大量楼房,部分建筑延伸到山坡和山谷。诈骗窝点增加后,周边商店和配套也跟着增多。 多个诈骗团伙通过Telegram招人,主要招聘针对欧美用户开展网络诈骗的人员。部分岗位开出每月2万至3万泰铢工资,并提供加班费和其他奖励。 缅甸军方公布,瑞格约共有77栋涉及网络诈骗和非法赌博的建筑被拆除。拆除行动从5月25日持续至7月26日,期间控制2075名非法入境外国人。 瑞格约的诈骗活动没有随着拆除行动停止。部分团伙重新回到旧址,…
中美澳都在找柬埔寨协查电诈,查出了什么? 国际社会要求柬埔寨打击电诈的压力持续增加。在打击网络诈骗国际会议在金边召开之际,柬埔寨内政部9月22日集中公布了与中国、美国和澳大利亚警方合作调查跨国犯罪和网络诈骗的情况。 从柬方自己披露的数据来看,三国都曾向柬埔寨提供嫌疑人、IP地址、加密货币账户和电诈地点等线索,但调查结果差别很大。 中国方面提供的主要是人员名单。 过去一年多,中方先后要求柬埔寨协查3批共113名中国人,涉及电诈、绑架勒索、非法赌博、非法越境等案件。 美国FBI提供的线索则包括加密货币、IP地址和具体电诈地点。 柬方称,美方要求调查6名涉及加密货币账户的人员,调查后认定6人均与相关加密货币犯罪无关;另外3起IP地址调查,结果都是无法确定使用者身份。另有2起加密货币投资诈骗调查,柬方同样称相关人员没有参与。 澳大利亚过去一年也提出了5项协查请求。 其中两起涉及加密货币诈骗:一起要求调查两个电子邮箱,柬方…
❤1
#群友爆料:金边诺蒂斯酒店,今天下午好多警察带着4月份被抓的狗推和盘总来指认现场。红色衣服的是盘总。 ⌚柬埔寨交友 @jpzjy ⌚海外华人头条 @hwhrtt ⌚导航总群 @kaolaoerzhihuzheye
#柬埔寨新闻 西港再破网络诈骗案 12名印尼籍嫌疑人落网 9月23日,柬埔寨西哈努克省警方公布一起网络诈骗案件侦破结果,12名印度尼西亚籍嫌疑人被警方抓获。 警方经过调查锁定这批人员,随后展开抓捕行动,将12名涉案嫌疑人全部控制。案件涉及网络诈骗活动,警方正在进一步调查相关人员的具体分工、诈骗活动及背后关联人员。 12名嫌疑人现已交由警方依法处理,案件后续将按照柬埔寨法律程序继续调查。 ⌚柬埔寨交友 @jpzjy ⌚海外华人头条 @hwhrtt ⌚导航总群 @kaolaoerzhihuzheye
#柬埔寨资讯 2026年9月23日凌晨0时10分,柬埔寨水上边境保护部门在西哈努克省鲁塞岛(Koh Russey)附近水域开展专项打击行动,查处一起毒品及非法武器走私案件。 执法人员在行动中抓获7名中国籍涉案人员,现场查获涉案车辆、近一吨毒品以及大批长短枪支。目前涉案人员与全部查获物证已移交相关司法部门,案件进入司法审理流程。 牛逼~ ⌚柬埔寨交友 @jpzjy ⌚海外华人头条 @hwhrtt ⌚导航总群 @kaolaoerzhihuzheye
一秒“换脸”!柬警方现场演示电诈团伙AI换脸设备 9月22日,柬埔寨警方邀请国内外媒体前往金边市警察局,展示此前打击网络诈骗行动中查获的设备,并现场演示诈骗团伙使用的AI实时换脸技术。 从现场视频可以看到,电脑连接摄像头后,通过AI实时换脸(Real-time AI Face)软件,可以将镜头中的人脸实时替换成另一张面孔,并随着人物动作同步变化。警方介绍,这类技术被诈骗团伙用于网络诈骗。 现场还摆放了大批查获的涉案设备,包括2.99万部手机、数千台电脑和显示器,以及大量外国SIM卡。 警方还展示了仿冒中国公安、日本警察以及美国FBI、CIA等机构的制服、徽章和证件,其中包括假冒中国厦门警方的证件。 ⌚柬埔寨交友 @jpzjy ⌚海外华人头条 @hwhrtt ⌚导航总群 @kaolaoerzhihuzheye
李永法表态:全力支持清剿网络诈骗 柬埔寨大亨、参议员李永法公开表态,坚决支持政府清除网络诈骗的严打行动。 李永法指出,网诈属严重跨国犯罪,极大地损害了国家的国际声誉、商业环境及投资者信心。 李永法强调,对网诈犯罪实施“零容忍”,并承诺将配合政府及国际社会,防止合法商业被犯罪分子利用。 此前,李永法曾针对泰国媒体关于其涉足网诈与洗钱的报道澄清,强调自身经营合法产业,坚决否认参与任何诈骗活动。 国公王罕见站出来表明立场~~ ⌚柬埔寨交友 @jpzjy ⌚海外华人头条 @hwhrtt ⌚导航总群 @kaolaoerzhihuzheye
Showing the 12 most recent of 701 posts we hold for @hwhrtt. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
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.
Handles this channel named that no longer answer
- Dead references
- 2
- 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
- 2
- vacant every time we have ever looked
@hwhrtt named 2 handles 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 1 post, 31 August 2026 – 31 August 2026
named in 1 post, 31 August 2026 – 31 August 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“海外华人头条” (@hwhrtt), 71,218 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/hwhrtt.
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.