Channel
@jpz163
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,056subscribers
-513 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002119262460 |
|---|---|
| Type | Channel |
| Username | @jpz163 |
| Description | 金边/西港...柬埔寨及东南亚地区新闻资讯播报 爆料/合作联系：@jpz1633 |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/jpz163 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 20:51 | 9,056 | -489 |
| 8 Aug 2026, 06:06 | 9,545 | -24 |
| 7 Aug 2026, 17:01 | 9,569 | no change |
| 7 Aug 2026, 16:57 | 9,569 | first reading |
48 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 13 pagesof 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 29 of 48 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 48 (7 August 2026 – 12 August 2026) |
| Views total | 19,601 |
| Reactions total | 37 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 15:37 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 12 August 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 9 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.
37 reactions across 27 posts, in 5 distinct kinds. The most used accounts for 51.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 51.4% | |
| 🔥 | 14 | 37.8% | |
| 🙏 | 2 | 5.41% | |
| 💯 | 1 | 2.70% | |
| 🤣 | 1 | 2.70% |
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 29 of the 48 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 37reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 48 most recent posts we hold, published 7 August 2026 to 12 August 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.
高价路灯案后续：柬内政部责成严查串通官员 今天，柬埔寨内政部行政总局就磅清扬省罗利亚比埃县德浩乡太阳能路灯项目异常高价案发表声明。该项目单根灯杆及太阳能灯泡套组造价高达800万瑞尔（约合2000美元），远超市场价。 经调查，内政部发现该省共有5个乡的基金项目实施存在严重违规，已明确指示磅清扬省政府立即采取严厉行动，依法依规严肃惩处所有涉嫌勾结串通、违规操作的官员。 —— ✈️ 西港日记：@xigang818 ☎️ 投稿合作：@jpz818
朱镕基同志逝世 中国共产党中央委员会、中华人民共和国全国人民代表大会常务委员会、中华人民共和国国务院、中国人民政治协商会议全国委员会沉痛宣告：中国共产党的优秀党员，久经考验的忠诚的共产主义战士，杰出的无产阶级革命家、政治家，党和国家的卓越领导人，中国共产党第十四届、十五届中央政治局常委，国务院原总理朱镕基同志，因病医治无效，于2026年8月12日11时06分在北京逝世，享年98岁。 朱镕基同志，1928年10月生，湖南长沙人。 —— 频道：@jpzxc888 群组：@jpzxc8888 爆料/合作：@wuge1818
🙏2❤1
🌟 高龙撒冷国际旅游岛——许你一片海，重启人生广阔！ 🌊 在这里，蓝天、大海与白沙滩是生活的底色。放下喧嚣与烦恼，开启专属于您的极致海景人生！现正推出一系列珍稀独栋酒店与洋房，为全球高净值投资者打造避世私产。 💎 甄选户型，致敬不凡： 王子独栋（A/B型）：拥有超9-15米超宽迎海面，极致海景视野尽收眼底，配备私人泳池，定义轻奢海居。🏊♂️ 皇后独栋（C/D型）：约630㎡超大私属花园，50㎡私人泳池，沉浸在绿意与蔚蓝交织的自然秘境。🌿 国王独栋（E型）：顶级奢华之选！五房三厅七卫，坐拥千平私家园林，更有私人游艇码头（可停60尺游艇）及专属沙滩，尽显领袖气度。⚓️ 公主洋房（G3型）：高性价比之选。带约67㎡星空露台，静谧假日，星辰作伴。✨ ✅ 全能配套： 家具家电全齐，自带餐厅与私人泳池，真正的拎包入住级资产。 在泰国湾的蔚蓝版图上，高龙撒冷岛正等待它的主人。 置业顾问：诚盈杰森 ✈️ @aa4913 ☎️…
血债血偿！施纯芳团伙成员樊某被遣返回中国 据菲律宾世界日报消息，8月8日，中国和菲律宾两国执法部门合作遣返了涉嫌在菲绑架中国公民的犯罪嫌疑人樊某某。 据报道，樊某某赴菲多年，曾从事网络赌博，后加入臭名昭著的施某某团伙，多次参与实施绑架犯罪。 另外，中国驻菲律宾大使馆官方8月10日发布消息称，近日，中菲两国执法部门合作抓获并遣返一名涉嫌诈骗罪，掩饰、隐瞒犯罪所得罪的逃犯檀某。檀某系跨境犯罪集团核心成员，其集团长期在越南、老挝从事电信诈骗及洗钱等活动，被中国多地公安机关网上通缉，涉案金额达一千余万元人民币。 —— 🔔 柬埔寨快报：@jpz163 👉 聊天群：@jpzlt ☎️ 爆料/合作：@jpz1633
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数万电诈人员回流柬埔寨？ 据报道，最近有不少灰产人员回流柬埔寨，包括从马来西亚、缅甸等地返回柬埔寨的人员。另据官方数据，最近有10万名中国人入境柬埔寨。 有媒体援引柬埔寨移民总局局长宋斯威那公布的数据称，自免签政策以来至8月2日，已经有超过10万名中国人入境柬埔寨。其中4.45万人左右是以旅游目的免签入境，其余超过5.55万人持商务签等其他类型签证入境。 据《柬媒在线》报道，多名中资酒店餐饮、中介从业者表示最近有部分灰产从业者回流柬埔寨。其中有些是因为缅甸、老挝严打电诈返回柬埔寨，有些是因为马来西亚、泰国等地签证问题返回。 “虽然柬埔寨的打击动作很大，但一些盘口还是决定硬上。” 在严打的压力下，有部分柬埔寨灰产人员开始返回柬埔寨试图寻找出路。据了解，七星海、财通、木牌等地已经有不少盘口开工。 陈志在今年1月宣布被抓后，财通金运、金湾等园区迅速搬空，是柬埔寨电诈人员最早开始转移的地方。 但目前，柬埔寨官方在财通再次发…
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柬埔寨查获112起强迫卖淫案 救出581名受害者 柬埔寨打击人口贩运国家委员会报告显示，2026年前六个月，警方共破获人口贩运及强迫卖淫案件112起，同比增长13.13%，成功救出581名受害者（含333名女性），并将169名嫌疑人（含34名外籍人员）移交法办。 —— 🔔 柬埔寨快报：@jpz163 👉 聊天群：@jpzlt ☎️ 爆料/合作：@jpz1633
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柬埔寨知名大学校刊揭露网赌电诈头目陈志 8月11日柬埔寨高考次日，柬埔寨知名高校诺顿大学（Norton University）推出厚达百页的吸引眼球的全新校刊《The Herald》，面向即将升入大学的高校生。 该刊物除展现校友风采及国际国内大事外，重点引入了电诈治理等关键社会议题。令人关注的是，校刊专门揭露了太子集团掌门人陈志及其网赌电诈犯罪案，详述其如何从打着慈善旗号的所谓年轻企业家沦为跨国犯罪头目。 据悉，经过中柬两国警方数月联合调查，陈志已于2026年1月6日与两名同伙在柬埔寨被捕并押解回中国。校方借此呼吁青年学生认清网络犯罪危害，同时欢迎广大学子报考诺顿大学。 不知道当年文森特赞助过这所学校没有～～ —— ✈️ 西港日记：@xigang818 ☎️ 投稿合作：@jpz818
华裔加密货币投资者从30楼离奇坠亡：遗体全裸盖黑色塑料袋 华裔加密货币投资者Harry Chun Tak Yeh（叶俊德）日前被曝在巴拉圭从豪华公寓30楼坠亡。 据报道，其遗体被发现时全身赤裸，身上盖着黑色塑料袋，而其30楼公寓房门大开，屋内一片狼藉。 目前，检方尚未排除他人介入的可能。 警方同时确认，叶俊德在同一栋大楼27楼还拥有另一套公寓。警方随后在那里询问了他的伴侣、29岁的巴西籍女子Isadora。她向警方表示，自己对事发经过毫不知情。 —— 🔔 柬埔寨快报：@jpz163 👉 聊天群：@jpzlt ☎️ 爆料/合作：@jpz1633
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网红“雅典娜Liya”已被撕票？绑匪头目被曝曾多次整容 在绑架团伙主要嫌疑人刘瀚文落网之后，网红“雅典娜Liya”失踪一事再次引发舆论关注。 2023年6月，孔丽梅被“闺蜜”李一菲（又名李怡霏）骗到菲律宾马尼拉，声称进行模特拍摄，待遇优厚。但孔丽梅到达菲律宾后失踪，之后网上传出其“被卖到柬埔寨电诈园区”“沦为66号小姐”等传言。 此后三年时间，“雅典娜Liya”（孔丽梅）生死未知，成为东南亚一大悬案。 截至目前，中国警方、菲律宾官方都尚未发布有关孔丽梅失踪或死亡的正式通报。 《金边现场》查阅菲律宾本地媒体，也未找到“雅典娜Liya”（孔丽梅）遇害的相关英文报道。 但据知情人士向《金边现场》透露，相关消息来自菲律宾华文媒体《世界日报》，该报从菲律宾警方处得到消息确认“雅典娜Liya”已经遇害，并且是刘瀚文所为。 据了解，菲律宾《世界日报》创刊于1981年，是菲律宾发行量最大的华文日报。 另据报道，刘瀚文不仅使用多重…
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中国24岁女子泰国失联 疑被拐卖至缅甸电诈园区 拥有3000万粉丝的网红“陈泽”爆料，中国24岁女子祁萌与网友前往东南亚旅游后失联。 据悉，祁萌于8月2日自吉隆坡飞抵曼谷，在登上声称开往清迈的车辆后便失去联系，疑遭转卖至缅甸妙瓦底电诈园区。 消息在网络引发广泛关注，祁萌好友在网上发布寻人启事并希望联系绑匪协商赎金。 —— 🔔 柬埔寨快报：@jpz163 👉 聊天群：@jpzlt ☎️ 爆料/合作：@jpz1633
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警方截获逾一吨走私冷冻肉 卜迭棉芷省玛莱县边防部队与警察8月11日凌晨5时展开联合伏击行动，在一处小道成功拦截了从泰国走私入境的逾一吨非法冷冻肉类。 执法人员在现场缴获了100箱冷冻肉及1辆运载手推车。 目前，当地专业执法力量正全力追查这批走私货物的幕后主使。 —— 🔔 柬埔寨快报：@jpz163 👉 聊天群：@jpzlt ☎️ 爆料/合作：@jpz1633
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Showing the 12 most recent of 48 posts we hold for @jpz163. 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.
Citation-graph rank — 305,974 of 1,160,990entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 2 registered channels — 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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨快报 @jpz163｜柬埔寨资讯频道” (@jpz163), 9,056 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/jpz163.
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.