Channel
@wenanjun
On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
158,030subscribers
+154,833 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 | 11 November 2026 |
| Measurements held | 47 |
| Confirmed unchanged | 1 time, most recently 11 November 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 the other topics.
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 3 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
| Posted first | Then | Overlap | Gap |
|---|---|---|---|
| @wbai95/26086 Sept 2026, 14:43 UTC | @wenanjun/11476 · this entry6 Sept 2026, 14:44 UTC | 1.00 | 72 seconds |
| @wenanjun/11660 · this entry8 Sept 2026, 14:51 UTC | @wbai95/27888 Sept 2026, 14:53 UTC | 1.00 | 72 seconds |
| @wbai95/27988 Sept 2026, 15:03 UTC | @wenanjun/11670 · this entry8 Sept 2026, 15:04 UTC | 1.00 | 72 seconds |
| @wbai95/29769 Sept 2026, 15:34 UTC | @wenanjun/11835 · this entry9 Sept 2026, 15:35 UTC | 1.00 | 72 seconds |
| @wbai95/328611 Sept 2026, 13:19 UTC | @wenanjun/12202 · this entry11 Sept 2026, 13:20 UTC | 1.00 | under a minute |
| @wbai95/351012 Sept 2026, 17:03 UTC | @wenanjun/12428 · this entry12 Sept 2026, 17:04 UTC | 1.00 | 72 seconds |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @wbai95 | 29 (7/8 hand-verifiable sample passed) | 1.00 | 72 seconds | @wbai95 (26–3) |
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 47 of the 47 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 646 comparable posts for this entry, running 6 September 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Recorded under the key clone_copy, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with the channel listed below. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
1 more channel is in this same group but not listed individually here.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 17:48 | 158,030 | -682 |
| 9 Nov 2026, 19:08 | 158,712 | -1,203 |
| 8 Nov 2026, 10:56 | 159,915 | -791 |
| 7 Nov 2026, 07:26 | 160,706 | -671 |
| 6 Nov 2026, 08:18 | 161,377 | -241 |
| 5 Nov 2026, 08:47 | 161,618 | -184 |
| 4 Nov 2026, 08:00 | 161,802 | -1,095 |
| 3 Nov 2026, 06:50 | 162,897 | -666 |
| 2 Nov 2026, 09:27 | 163,563 | -324 |
| 1 Nov 2026, 12:37 | 163,887 | -387 |
| 31 Oct 2026, 15:14 | 164,274 | -483 |
| 30 Oct 2026, 15:15 | 164,757 | -464 |
| 29 Oct 2026, 12:56 | 165,221 | -478 |
| 28 Oct 2026, 08:59 | 165,699 | -581 |
| 27 Oct 2026, 09:01 | 166,280 | -57 |
| 26 Oct 2026, 06:10 | 166,337 | -278 |
| 25 Oct 2026, 06:27 | 166,615 | -298 |
| 24 Oct 2026, 09:57 | 166,913 | -399 |
| 23 Oct 2026, 07:28 | 167,312 | -9,818 |
| 22 Oct 2026, 07:37 | 177,130 | first reading |
717 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 137 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 41 of 332 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 November 2026 |
|---|---|
| Posts held | 717 (7 August 2026 – 12 November 2026) |
| Views total | 423,282 |
| Reactions total | 43 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Nov 2026, 17:20 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 November 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 14 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.
141 reactions across 102 posts, in 7 distinct kinds. The most used accounts for 66.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 93 | 66.0% | |
| ❤ | 16 | 11.3% | |
| 🔥 | 13 | 9.22% | |
| 👏 | 11 | 7.80% | |
| 😁 | 6 | 4.26% | |
| 👌 | 1 | 0.709% | |
| 🤩 | 1 | 0.709% |
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 104 of the 717 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 141 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 717 most recent posts we hold, published 7 August 2026 to 12 November 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.
Telegram’s own ‘edited’ marker: 0 of 332 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
国际游客关注法语国家村筹备 称赞柬埔寨整洁安全 作为第20届法语国家组织峰会配套活动的法语国家村，将于11月13日至17日向国内外游客开放。11月12日上午，多名国际游客在金边波东瓦黛寺花园受访时表示，柬埔寨安全、整洁，民众友善，法语国家村的展台布置颇具吸引力。他们认为，举办该峰会活动有助于促进文化交流、商业和旅游联系，并建议其他国际游客到柬埔寨旅游。法语国家村以“高棉微笑、法语国家微笑”为主题，设有国家馆、展览、美食展台及每日文艺演出等。柬埔寨首相洪玛奈及夫人碧占莫妮、法语国家国际组织秘书长夫人将出席13日晚的正式开幕活动。
柬埔寨10个月破获近万起毒品案 柬埔寨当局在2026年前10个月共破获毒品案件9746起，逮捕嫌疑人26338人，其中外籍人员1341人，来自30个国家，缴获毒品超过5吨。相关数据在11月12日举行的边境省份及口岸跨境毒品防控会议上公布，会议由内政部国务秘书、边境省份禁毒委员会主席莫吉托主持。被破获案件中，涉及洗钱的贩毒案1330起，小规模贩毒案4231起，吸毒案4145起，制毒案15起，种植案1起。通过邮政包裹贩运毒品案8起，目标流向澳大利亚、英国、中国和阿联酋，逮捕8人，缴获海洛因4.8公斤。柬埔寨还将继续加强信息共享与机构合作，打击幕后主使和跨境贩毒网络。
联合国人权理事会审议泰国人权纪录 11月9日，联合国人权理事会在瑞士日内瓦对泰国进行普遍定期审议，107个成员国共提出297项建议。其中11国对泰国利用冒犯君主罪（第112条）压制言论自由表示严重关切。芬兰、德国、墨西哥、挪威、瑞典、奥地利和丹麦呼吁泰国按《公民权利和政治权利国际公约》修订第112条，取消最低刑期并缩小适用范围；爱尔兰和加拿大则建议废除或彻底改革该法。成员国还批评泰国拒绝保释、起诉儿童和青年活动人士，以及利用第116条和计算机犯罪法等压制批评者。据112 Watch、人权观察和国际特赦组织报告，自2020年底以来已有超过270人被依第112条起诉，活动人士内提蓬“邦”2024年在狱中绝食抗议期间死亡。联合国代表强调，泰国作为人权理事会成员，其国内压制行为不可接受。112 Watch要求泰国在11月13日周五正式回应前，向联合国说明是否接受这297项建议。
柬埔寨戈公省16岁失踪少女浮尸池塘 柬埔寨戈公省警方通报，一名16岁少女的遗体于11月12日上午在该省斯雷安贝县一处池塘中被发现漂浮水面。死者名为皮娜琳，家住斯雷安贝县本博乡德邦村，自11月10日晚约10时起失踪。警方11月11日曾在当地一处池塘边发现鞋子和一部手机，其母亲到场确认这些物品属于女儿。目前警方尚未确认死亡原因，正等待专业部门调查，以查明是谋杀、自杀还是其他原因。
卢旺达总统抵达金边 展开对柬埔寨国事访问 卢旺达共和国总统保罗·卡加梅及夫人珍妮特·卡加梅于2026年11月12日下午抵达德乔国际机场，对柬埔寨王国进行国事访问。卡加梅总统此行还将出席第20届法语国家组织峰会。该峰会由柬埔寨担任主席国并主办，定于2026年11月14日至16日在金边举行。
柬埔寨劳工大臣强调技术数字与AI人才培养 柬埔寨劳工与职业培训大臣兴索11月11日在金边香格里拉酒店举行的2026年全国劳动经济会议高级政策讨论会上表示，培养具备技术技能、数字技术和人工智能应用能力的人才是提升劳动生产率、提高生产链效率的关键。他指出，明确产业政策方向并吸引私营部门参与，是确保技能培训对接劳动力市场实际需求的基础。该部持续扩大技术与职业培训，兼顾硬技能、软技能和创业能力，并推动培训机构与企业、工厂对接。他表示，数字技术和人工智能的发展为柬埔寨教育和人力资源开发带来新机遇，多所高校已将相关课程纳入教学，但技术技能仍须受到重视，基于工作的学习和“边学边做”项目被视为连接理论与实践的重要机制，其实施需要私营部门积极参与。 （注：原文所附体育、交通及国际新闻等推荐内容与本次报道无关，已删除。）
西哈莫尼国王出席柬埔寨独立73周年点火仪式 据柬埔寨媒体报道，11月11日下午，柬埔寨国王诺罗敦·西哈莫尼在金边独立纪念碑出席国家独立73周年纪念活动的点火仪式。报道称，该仪式对应11月9日独立日，纪念柬埔寨于1953年11月9日脱离法国殖民统治获得独立，同时适逢柬埔寨王家军队成立73周年。参议院、国会、宪法委员会及法院机构成员，政府高级官员、公务员、青年和学生等大批民众出席。报道还提及已故太王诺罗敦·西哈努克为争取国家独立所作的贡献。
柬埔寨集中销毁逾750吨假冒商品 柬埔寨副首相兼内政大臣苏速卡11月11日表示，当天在干拉省蓬亚罗县集中销毁假冒产品和相关物品，体现政府严格执法、打击假冒商品犯罪的坚定承诺，旨在保护民众健康、维护品牌所有者权益并增强投资者信心。他与副首相兼司法大臣高乐共同主持销毁仪式。此次销毁约750吨假冒商品，包括约2吨Total品牌机油、约1.5吨Nova 2T机油、约0.48吨ETHILON缝合线、约0.65吨Apple电子产品、约0.65吨Boss服装、约1.6吨Cool-Kid退热贴、约16吨Sogate和Crogate牙膏，以及约725吨假冒香烟和包装材料。据国家警察总署报告，2024至2026年间当局已两次在磅湛省和茶胶省销毁约1000余吨假冒香烟及生产材料。
缅甸军政府召见德国外交官 抗议其呼吁释放政治犯 据Irrawaddy报道，缅甸军政府于2026年11月10日召见德国驻缅高级外交官Mathias Licharz，就其此前在Facebook发布视频、呼吁“无条件释放”政变中被罢免的政治犯（包括昂山素季）一事进行问询。视频中，Licharz站在前总统温敏位于仰光的官邸外，称联合国仍视温敏为缅甸合法总统。缅甸外交部宣布已召见Licharz与副部长Ko Ko Kyaw会面，并递交抗议照会，指责其行为似在煽动对抗，警告类似行为若再发生将采取严厉措施。德国驻缅使馆尚未回应置评请求。
金边理事会赞扬当局遏制犯罪改善服务 金边理事会成员对金边当局、武装力量及各区、分区政府表示赞扬，称其在维护社会治安、遏制各类犯罪方面克服困难，使10月犯罪率下降，同时为民众提供的服务不断改善。这一表态于2026年11月11日上午在金边市政府举行的金边理事会第三届第四次任期内第30次例会上作出。理事会主席莫萨林表示，柬埔寨将于11月13日至17日主办第20届法语国家组织峰会及相关活动，金边当局承担各领域任务，他鼓励并赞扬各方共同努力提升金边和国家形象。金边行政副主任胡海代表市长坤盛表示，作为东道主，安保、代表团安全、装饰、参展国国旗悬挂、展位布置及环境卫生等准备工作均已就绪。会议还审议并通过了两项议程，包括上次会议纪要及2026年10月工作报告。
👍1
卢旺达总统将访柬埔寨并出席法语国家峰会 据柬埔寨外交部11月11日发布的新闻公告，卢旺达总统保罗·卡加梅将于2026年11月13日对柬埔寨进行国事访问。此次访问是应柬埔寨国王诺罗敦·西哈莫尼的邀请。访问期间，卡加梅将在王宫觐见西哈莫尼国王，并分别与参议院主席洪森、国会主席昆索达莉及首相洪玛奈举行单独会晤。双方预计就进一步加强双边关系和扩大合作交换意见，并签署贸易、投资、航空和旅游等领域的一些合作协议及文件。国事访问结束后，卡加梅将继续出席11月15日至16日在金边举行的第20届法语国家峰会。
柬埔寨驻日使馆驳斥Jiji Press涉沈良西报道 柬埔寨驻日本大使馆11月10日发表声明，对Jiji Press于11月9日刊发的涉及对沈良西采访的报道表示坚决反对，认为该报道以误导和错误的方式描述柬埔寨政治局势，未全面反映柬埔寨的法律和宪法背景。使馆驳斥报道中关于柬埔寨政治制度及2017年解散前救国党（CNRP）相关情况的描述，指出此类报道可能误导公众。声明称，解散决定由柬埔寨最高法院依法宣布，不应脱离法律程序和宪法背景呈现。使馆还表示，沈良西已被柬埔寨法院在多项刑事案件中定罪，其在境外宣布建立的政治结构不具备宪法或法律依据。使馆强调柬日关系良好，呼吁Jiji Press编辑部在报道柬埔寨相关问题时审慎考虑双边关系大局。
Showing the 12 most recent of 717 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.
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.
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 11 November 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), 158,030 subscribers as measured 11 November 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.