Channel
@wenanjun
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
176,663subscribers
+173,466 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001634773911 |
|---|---|
| Type | Channel |
| Username | @wenanjun |
| Description | #东南亚 #柬埔寨 #华人 欢迎加入东南亚华人大事件曝光 频道专注于东南亚最新动态资讯，让你看尽海外大小事。 ☎️商务合作： @xg2548 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 9 September 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 9 September 2026 |
| On Telegram | t.me/wenanjun |
International 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 66% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Sept 2026, 21:37 | 176,663 | -968 |
| 6 Sept 2026, 14:17 | 177,631 | +174,960 |
| 1 Sept 2026, 23:38 | 2,671 | -151 |
| 29 Aug 2026, 19:04 | 2,822 | -4 |
| 27 Aug 2026, 03:37 | 2,826 | -51 |
| 24 Aug 2026, 03:16 | 2,877 | -5 |
| 20 Aug 2026, 17:03 | 2,882 | -75 |
| 17 Aug 2026, 18:33 | 2,957 | -90 |
| 14 Aug 2026, 14:08 | 3,047 | -148 |
| 11 Aug 2026, 08:12 | 3,195 | -2 |
| 10 Aug 2026, 12:15 | 3,197 | no change |
| 10 Aug 2026, 12:01 | 3,197 | first reading |
26 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 9 pages of 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 3 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 September 2026 |
|---|---|
| Posts held | 26 (7 August 2026 – 9 September 2026) |
| Views total | 24,876 |
| Reactions total | 3 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 03:27 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.
Lifetime counters from Telegram’s own channel header, read 10 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.
Measured directly from 2 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.
3 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 2 | 66.7% | |
| 👏 | 1 | 33.3% |
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 4 of the 26 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 3 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 26 most recent posts we hold, published 7 August 2026 to 9 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.
#柬埔寨新闻 【柬埔寨税务总局出席第55届SGATAR年会 探讨AI与税务改革】 2026年9月9日，亚太地区税务管理研究小组（SGATAR）第55届年度会议进入第二天，与会代表围绕数字化转型和人工智能在税收管理中的应用展开讨论。柬埔寨税务总局参会并分享经验。 来自中国、韩国、马来西亚、蒙古和新西兰的税务机构代表分别介绍了各自在智能税务系统、电子发票、AI风险分析和税务合规管理等方面的实践。会议强调，数据基础设施、跨部门协作和人才培养是推动税务现代化的关键。柬埔寨税务总局表示将继续推动税务行政现代化，加强区域和国际经验交流，提升纳税服务质量和税收管理效率。
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百余名民众集会请愿：恳请批准家庭式手工采金 约100名柬埔寨蒙多基里省居民9月9日聚集在克瓦西玛乡终帕萨村公所，集体请愿要求地方政府批准其在自有宅基地及私有土地上开展家庭式手工采金作业，以维持生计。 民众强调，采金完全依靠人力与简易工具（如铁锹、簸箕、淘金盘等），不使用重型机械，且仅限于自家土地——这些地块持有合法地契，且残留金矿渣源自2002年某矿业公司遗留。他们日均收入仅5–6万瑞尔（约12–15美元），而当地多数人无耕地、无技能、无其他谋生渠道。基层官员已受理诉求，承诺两天内上报省级主管部门协调处理。
#柬埔寨 #网络犯罪 #国际会议 #金边 柬埔寨9月办国际反网络犯罪大会 全球多国齐聚金边 9月23日至24日，金边将迎来一场聚焦网络犯罪的国际会议——“携手打破网络犯罪链条，终结网络犯罪”。柬埔寨常任副首相翁西·维索特9月7日主持第七次筹备会，确保安保、礼宾、内容策划全部到位。区域及全球多国和国际组织将参会，共同商讨如何终结日益猖獗的网络犯罪。
旅游部与Metfone合作，推出“我的村庄，我的美食”活动，旨在推广柬埔寨旅游和当地美食。 Metfone与旅游部正式合作，推出“我的村庄，我的美食”这一全国性的数字旅游活动，旨在提升柬埔寨的乡村旅游，推广正宗的当地美食，并加强该国的数字影响力。
#越南新闻 广宁省广新乡：引清泉越山峦 润泽偏远村寨 9月初，东城村洁净水系统扩建工程进入收尾阶段。主管道正在试压，水表陆续安装到户。该工程于2026年6月启动，铺设主管道415米、配水管道近12公里，总投资逾70亿越南盾。项目完成后，将为东城村、海安村数百户居民提供更加稳定的生活用水。 当地居民李文海说，过去取水不便，水源不稳定时生活受到较大影响。如今洁净水管接入家中，用水方便了许多，也让生活更加安心。 广新乡合并后辖区扩大，居民点分散，部分村寨远离中心区域，集中供水管网延伸面临较大困难。目前，全乡共有2座集中供水工程，为1300余户家庭和学校提供服务，每座工程供水能力约30立方米/小时。 对于尚未接入集中供水管网的地区，8座自流饮水工程仍发挥重要作用，为那帕（Nà Pá）、谢龙敏—青平（Siệc Lống Mìn - Thanh Bình）、平湖（Bình Hồ）、里快（Lý Khoái）、茂森高（Mào Sám C…
#网友投稿 刚刚收到西港“蓝色海湾”物业通知，10‑11日期间，将有金边下来的宪兵联合西港当地警方开展联合执法检查，物业已上门告知住户，并先行开展内部自查。
#马来西亚资讯：蒙面持刀匪徒闯入吉隆坡豪宅 中国籍男子损失291万令吉财物 9月8日，吉隆坡安邦路Pavilion Embassy高级公寓昨日发生持械抢劫案，一名28岁中国籍男子遭数名蒙面持刀男子闯入住所，掠走现金、珠宝及名贵手表等财物，总损失估计达291万令吉。 旺沙玛珠警区主任安纳斯苏莱曼（Annas Sulaiman）发文告指出，警方于昨日下午5时31分接获受害者投报，案件相信发生在当日下午2时至3时之间。 初步调查显示，数名蒙面及戴手套的男子持刀闯入位于Pavilion Embassy的住宅单位，并抢走受害者的现金、珠宝及名贵手表。 警方也发现，嫌犯在干案过程中损坏受害者的手机，并掠走其护照。警方表示，受害者在这起事件中没有蒙受严重伤势。目前警方正积极追查涉案嫌犯的身份及下落。 案件目前援引《刑事法典》第395及397条文，即结伙持械抢劫罪展开调查。 警方呼吁知悉案件或掌握嫌犯相关线索的民众，尽快向警方提供情…
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#柬埔寨新闻 【柬埔寨地雷行动中心为美国空军及佛得角提供排雷技术培训】 2026年8月下旬至9月初，柬埔寨地雷行动中心（CMAC）与美国Golden West组织合作，为美国空军未爆弹药专家部门和佛得角政府未爆弹药技术小组提供专业培训，重点教授技术设备在未爆弹药搜索中的应用。此次培训是美国人道主义排雷项目支持非洲国家的一部分。 CMAC代表亨·拉塔纳表示，Golden West自2000年代初以来一直是CMAC在柬埔寨排雷行动的重要合作伙伴，合作已超过25年。此次培训体现了柬埔寨在排雷领域积累的专业经验正为国际社会提供支持。 ———————————
#柬埔寨新闻 【班迭棉吉省联合执法检查波贝市外籍人员 未发现网络诈骗】 2026年9月7日，班迭棉吉省联合指挥部在省长翁拉泰指挥、省法院检察官协调下，对波贝市五个乡镇的外籍人员居住场所进行行政检查，以防范网络诈骗活动。行动由副省长和波贝市长直接领导。 检查组对多处公寓和出租房进行了排查，共发现来自印尼、泰国、尼泊尔、缅甸和菲律宾等国的外籍人员，均持有有效护照、签证和工作许可证，未发现违规或网络诈骗证据。省政府表示将继续加强外国人管理，维护公共安全与法律秩序。
#柬埔寨新闻 【柬埔寨内政部警告严查乡镇资金违规 官员涉利益冲突将被追责】 2026年9月7日，柬埔寨内政部行政总局局长苏奥斯·普拉昌在乡镇和分区委员会第五届任期工作成果开幕式上表示，将对串谋挪用乡镇和公社发展资金的官员采取严厉行动。他指出，多个省份在太阳能电线杆等项目存在违规，不仅限于磅清扬省。 副首相兼内政部长萨尔·索卡敦促透明高效使用乡镇发展资金。他指出，乡镇基金从2002年的800万美元增至2026年的超3亿美元，增长41倍，每个乡镇平均获约20万美元。萨尔·索卡表示，在资金大幅增长背景下，必须确保问责和透明，防范利益冲突。
#柬埔寨新闻 【干丹省医院和学校建设项目举行奠基仪式】 2026年9月7日，代表副首相兼经济财政部长的皇家政府代表乔·本瓦特博士出席干丹省蓬赫亚勒县医院和学校建设奠基仪式。正式奠基典礼将于9月8日由副首相昂蓬莫尼洛教授主持。 蓬赫亚勒县转诊医院将新建一座四层综合治疗大楼，含97个房间，配备空调、电梯、X光等现代化医疗设施。同时，Tep Pranam高中和洪森佛法中学将各建一栋三层教学楼，均含15间教室。此次医疗和教育基础设施的同步建设，将显著提升当地公共服务水平。
Showing the 12 most recent of 26 posts we hold for @wenanjun. 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.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚华人大事件-柬埔寨曝光” (@wenanjun), 176,663 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/wenanjun.
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.