Channel
@xw_339
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
28,818subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001892257698 |
|---|---|
| Type | Channel |
| Username | @xw_339 |
| Description | 全网曝光热搜事件 ：专注于揭露事实- 曝光真相-最新动态资讯 -生活故事分享-海外华人求助！ ➖➖➖➖➖➖➖➖➖➖ 🔍 缅甸缅北曝光： @anweitt 🔍柬埔寨曝光: @xinwenbg3 🔍柬埔寨头条： @zzyy_6699 🔍东南亚华人曝光: @xw_339 🔍东南亚前线大事件： @wx_533 🔍东南亚新闻曝光: @facai16161616 🔍迪拜华人曝光: @facail16888889 🔍麻豆国产影视: @cosfeng6 💁📲商务合作： @Wt11234 |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 5 times, most recently 12 August 2026 |
| On Telegram | t.me/xw_339 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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.
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 word for word on 2 other registered channels. 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 |
|---|---|---|---|
| @xinwenbg3/100487 Aug 2026, 07:15 UTC | @xw_339/16268 · this entry7 Aug 2026, 07:15 UTC | 1.00 | under a minute |
| @xw_339/16276 · this entry7 Aug 2026, 08:43 UTC | @xinwenbg3/100567 Aug 2026, 08:43 UTC | 1.00 | under a minute |
| @xinwenbg3/100607 Aug 2026, 10:33 UTC | @xw_339/16280 · this entry7 Aug 2026, 10:34 UTC | 1.00 | under a minute |
| @xinwenbg3/100617 Aug 2026, 10:48 UTC | @xw_339/16281 · this entry7 Aug 2026, 10:48 UTC | 1.00 | under a minute |
| @xw_339/16282 · this entry7 Aug 2026, 11:12 UTC | @xinwenbg3/100627 Aug 2026, 11:12 UTC | 1.00 | under a minute |
| @xw_339/16286 · this entry7 Aug 2026, 12:12 UTC | @xinwenbg3/100667 Aug 2026, 12:12 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @xinwenbg3 | 11 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (8–3) |
| @facai16161616 | 11 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | this entry (8–3) |
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. 6 of the 6 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 14 comparable posts for this entry, running 7 August 2026 to 7 August 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.
Across the whole group of 3, the earliest publisher we hold is @xinwenbg3. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 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’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 08:15 | 28,818 | no change |
| 7 Aug 2026, 14:45 | 28,818 | first reading |
121 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 16 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.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 121 (7 August 2026 – 12 August 2026) |
| Views total | 45,894 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 21:48 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 39 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.
❗️【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。” 从今年1月太子集团陈志被抓以来，柬埔寨严打电诈，不少电诈等灰产人员转移到缅甸、老挝、马来西亚、越南等地。 但近日来这些国家打击电诈的力度也在加大。据社交媒体消息称，越南胡志明市的警察也已经开始挨家挨户敲门检查护照，老挝金三角特外地区也迎来…
❗️【克伦邦再曝69英亩新诈骗园区 关联克伦民族军首领之子】❗️ 缅甸媒体8月10日发布调查，在克伦邦帕因觉镇一带发现一处新建诈骗园区，位置在梅拉瓦迪新村约1英里外，占地超过69英亩。 调查人员将现场视频和卫星影像进行比对，园区位置、建筑布局等特征基本吻合。卫星记录显示，这片区域从2025年12月开始大规模施工，与今年1月曝光的玉龙湾园区并非同一处。 调查显示，这处园区与克伦民族军首领索奇督的儿子索奇奇有关。索奇奇现任克伦民族军第999战术指挥部副指挥官。 一名前工作人员提供的信息显示，园区使用星链卫星网络和发电机维持运作，内部开展针对美国人的网络诈骗业务，工作人员外出受到限制。 今年1月曝光的玉龙湾园区位于妙瓦底一带，早在2020年就开始建设，当时关联的是索奇督另一名儿子索图埃穆。此次新园区的地点、建设时间和关联人物均不相同。 美国财政部此前已对克伦民族军、索奇督以及他的两个儿子索图埃穆和索奇奇实施制裁。相关制裁内…
❗️【台湾省硬核抓铺诈骗犯实拍视频 带枪抓铺 敢有反抗可直接击毙 对待诈骗犯 绝不手软】❗️ ➡️ 投稿联系： 遥 路😀
❗️【雅典娜案反转 警方澄清，并没有任何警方公布雅典娜已遇害】❗️ “近日，有关百万粉丝网红“雅典娜Liya”（本名孔丽梅）确认遇害的消息在网络流传，引发广泛关注。 2026年8月11日，宁波公安对此传闻作出官方回应，澄清了案件归属及关键信息的来源，强调并未证实该网红已遇害。 ➡️ 投稿联系： 遥 路😀
❗️【今天凌晨在马来西亚雪兰莪州锡米山，抓了几百个外劳，缅甸人居多，还有少于居住在那边的中国人】❗️ 马来西亚天天抓外劳怎么抓不完一样？ ➡️ 投稿联系： 遥 路😀
❗️【柬埔寨9月举办国际打击电诈大会 FBI或将参加】❗️ 柬埔寨将于9月23日至24日在金边主办“2026年打击网络诈骗国际会议”，旨在汇聚各国政府、国际组织及执法机构等多方力量，共同打击并切断跨国网络诈骗链条。 柬埔寨新闻部发言人强调，此次大会对于展示柬国跨国合作决心以及应对全球新型犯罪具有重要意义。总理洪玛奈此前表示，预计美国联邦调查局（FBI）及多国执法机构代表将出席会议，深化信息共享与联合执法。 ➡️ 投稿联系： 遥 路😀
❗️【最新消息：热搜女孩祁萌落地曼谷后失联（目前人已安全到达国内）】❗️ ➡️ 投稿联系： 遥 路😀
❗️【群友投稿：我是一名在柬埔寨待了两年的推推】❗️ 当初也是听朋友说：来这边只要不赌、不吸DU，老老实实干，肯定能赚到钱。这两年下来，DU我确实没碰，赌场也就去过一次。那次输了1000美金，从那以后再也没进去过。 按理说，不赌不DU，怎么着也该存点钱吧？结果干了几年，到现在一看，存款一分钱没存下来😂 问题出在哪？ 他妈的，就出在我干的是股票盘。天天跟股票打交道，搞了两年以后，我甚至产生了一种错觉：我寻思自己就算不是什么华尔街之狼，好歹也算半个股票高手了吧？ 于是把这几年辛辛苦苦赚来的钱拿去投资，结果股票还没怎么玩，我又看上了比特币。买的时候觉得自己是在投资未来，亏的时候才发现，未来可能压根没打算带上我。 也是因为特码的特朗普天天几把搞事，让我亏得嗷嗷叫。现在回头一看，真挺有意思的，几年辛辛苦苦赚来的钱，兜兜转转，最后又还给特朗普了。 所以也奉劝各位一句：赚到钱以后，存钱就好好存，不存钱就好好玩，最起码能快活。像我…
💩#频道互推 🔗 📢 新闻头条事件 📢 今日曝光 📢 内涵段子 📢 求职甩人招聘 📢 亚太新闻 ------------------------------ 📢 视野全网曝光台 📢 迪拜大事件曝光 📢 东南亚大事件 📢 菲律宾大事件 📢 柬埔寨大事件 📢 华人大事件 📢 安危大事件 ------------------------------ 📢 每の吃瓜搞笑视频 📢 东南亚新闻曝光 📢 中文头条新闻曝光 📢 91网红主播鉴黄 📢 麻豆国产电影 📢 动漫里番韩国女优 📢 91吃瓜反差新闻 📢 91黑料吃瓜 ------------------------------ 📢 东南亚新闻网 📢 柬埔寨新闻大事件 📢 菲律宾大事件 📢 [每日快报]华人新闻 📢 迪拜新闻 📢 骗子曝光 📢 亚太缅甸新闻 📢 泰国新闻 ------------------------------ 📢 吃瓜搞笑猎奇新闻 📢 西港日记📔柬埔寨新闻中心 📢 素…
❗️【财通查获67名外籍人员】❗️ 昨天，在干拉省省长郭宗仁直接指挥下，干拉省统一指挥部突击搜查了位于财通的一处4层出租大楼，成功破获一起网络诈骗案。 行动中，警方共带回68名涉案人员（67名外籍人员及1名柬籍女子），并搜获笔记本电脑19台、手机18部等作案工具。 目前，其中63名外籍人员已被送往移民总局等待遣返，另4人被依法追究刑事责任。 ➡️ 投稿联系： 遥 路😀
❗️【巴基斯坦狗推被端后续】❗️ 昨天中午12点通知说今天必须把所有人都放出来，下午6点又来了一波警察还有一个大巴车，又开始查，说 7 点就能出来，到现在也没一个人出去。 大楼法人是马来西亚华人，也被控制在楼里面。目前大楼里面最少有500-1000名狗推。 目前中国大使馆已介入，这下真的神仙难救了… ➡️ 投稿联系： 遥 路😀
❗️【缅甸木姐查获疑似网络诈骗窝点：60名中国籍男子被捕，缴获大量设备】❗️ 据当地消息，8月11日上午10时35分左右，缅甸掸邦木姐地区开展执法行动，在木姐朵越沙滩路口正对面的第二条道路附近一处民宅内，发现并查处一处疑似从事网络诈骗活动的窝点。行动中，执法人员现场抓获60名涉嫌参与网络诈骗的中国籍男子，并查扣大量涉案电子设备。 据悉，现场共缴获手机85部、一体机电脑11台、StarLink设备2套、移动电源2台、笔记本电脑4台、UPS电源1台、摩托车2辆以及其他相关设备。目前，涉案人员已被有关部门控制，案件正在进一步调查处理中。警方将对涉案人员身份、设备数据以及是否涉及跨境网络诈骗活动展开核查。 ➡️ 投稿联系： 遥 路😀
Showing the 12 most recent of 121 posts we hold for @xw_339. 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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“东南亚华人曝光” (@xw_339), 28,818 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/xw_339.
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.