Channel
@xinwenbg3
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
31,502subscribers
-101 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003137013785 |
|---|---|
| Type | Channel |
| Username | @xinwenbg3 |
| 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 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/xinwenbg3 |
National news — 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 |
|---|---|---|---|
| @xinwenbg3/10048 · this entry7 Aug 2026, 07:15 UTC | @facai16161616/61097 Aug 2026, 07:15 UTC | 1.00 | under a minute |
| @xinwenbg3/10056 · this entry7 Aug 2026, 08:43 UTC | @facai16161616/61177 Aug 2026, 08:43 UTC | 1.00 | under a minute |
| @xinwenbg3/10060 · this entry7 Aug 2026, 10:33 UTC | @facai16161616/61217 Aug 2026, 10:33 UTC | 1.00 | under a minute |
| @xinwenbg3/10061 · this entry7 Aug 2026, 10:48 UTC | @facai16161616/61227 Aug 2026, 10:49 UTC | 1.00 | under a minute |
| @facai16161616/61237 Aug 2026, 11:12 UTC | @xinwenbg3/10062 · this entry7 Aug 2026, 11:12 UTC | 1.00 | under a minute |
| @xinwenbg3/10066 · this entry7 Aug 2026, 12:12 UTC | @facai16161616/61277 Aug 2026, 12:12 UTC | 1.00 | under a minute |
| Channel | Matching posts | Text overlap | Typical gap | Published first |
|---|---|---|---|---|
| @facai16161616 | 11 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @facai16161616 (6–5) |
| @xw_339 | 11 (8/8 hand-verifiable sample passed) | 1.00 | under a minute | @xw_339 (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. 14 of the 14 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 15 comparable posts for this entry, running 7 August 2026 to 8 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 — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_mutual, last confirmed 8 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 |
|---|---|---|
| 16 Aug 2026, 07:25 | 31,502 | -21 |
| 14 Aug 2026, 17:16 | 31,523 | -11 |
| 13 Aug 2026, 07:04 | 31,534 | -3 |
| 12 Aug 2026, 08:43 | 31,537 | -10 |
| 11 Aug 2026, 07:14 | 31,547 | -5 |
| 10 Aug 2026, 09:47 | 31,552 | -24 |
| 9 Aug 2026, 10:51 | 31,576 | -21 |
| 8 Aug 2026, 11:11 | 31,597 | -6 |
| 7 Aug 2026, 12:16 | 31,603 | first reading |
168 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 23 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 16 August 2026 |
|---|---|
| Posts held | 168 (7 August 2026 – 16 August 2026) |
| Views total | 64,332 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 16:24 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 16 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 56 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.
❗️【柬埔寨公布两年跨境犯罪数据：1355案2119人被抓】❗️ 8月14日，柬埔寨、越南、老挝边境省份法院第8届会议在金边举行。柬埔寨最高法院公布数据显示，2024年至2026年，柬埔寨共查办从越南、老挝方向进入的跨境犯罪案件1355起，抓获涉案人员2119人。 案件主要涉及DU品犯罪以及利用科技手段实施的网络诈骗 ，三国法院将科技诈骗、跨境dupin案件列为重点议题，并加强案件审理、信息交流和司法协作。 会议结束后，三方签署联合公报，同意进一步强化边境地区法院之间的跨境司法合作。 ➡️ 投稿联系： 遥 路😀
❗️【三佛塔电诈园区发生脱逃事件 克伦民族联盟成功营救23人】❗️ 近日，缅甸克伦邦泰缅边境三佛塔第4区一栋4层电诈大楼内，30多名遭困人员击晕保安夺钥匙后集体逃跑。手持电击棒的园区保安及克伦民主佛教军（DKBA）人员随后进行追捕，部分受害者浑身是血、伤痕累累，其中一男一女在寺庙附近被重新抓回。 逃跑人员在克伦民族联盟（KNU）检查站寻求庇护，追捕人员被迫退去。据悉，KNU最终成功营救了23名逃脱者（多为20至30岁青年，包含两名欧洲人及多名缅甸女性）。 消息人士透露，果敢电诈集团自“1027行动”后迁至该地，并与当地DKBA等武装势力勾结。涉事园区据信由DKBA第2战术指挥部高级军官掌控。美欧此前已对DKBA及多名涉电诈高层实施制裁。目前该园区已提升戒备，严禁园区人员出入。 ➡️ 投稿联系： 遥 路😀
❗️【网友求助：3个大活人求救后全都消失了】❗️ 我一个老家的朋友在泰国做人事有一年多了，无论是菠菜还是电诈公司的人他都在长期在招聘没有出过意外，他合作的中介人头公司以广东珠三角地方的为主，8月3号那天有3个人通过人头公司联系到他想出国赚钱，做电诈都没有问题反正就是国内待不下去了。 这3个人在广东待命了一个星期办完所有手续很顺利的就上飞机飞到了曼谷，我朋友本着安全不见面的原则就提前安排好了有电诈公司的人去接他们。 这3个人一到曼谷就和接他们的人一同报了平安，还说公司很满意他们安排8月12号就开始上班，同时我朋友也收到了公司那边转来的全部介绍费，一切都很正常很顺，我朋友还叮嘱这3个人安心上班先赚钱，不要经常去外面到处逛泰国比不上国内那么安全。 在12号那3个人要上班的当天早上，我朋友想再联系他们问问上班情况的时候对方发来了一条极短的语音说，救命他们在清莱/清迈?！ 因为有口音和语音极短，听着像清莱又像清迈。我朋友马上回电…
❗️【巴基斯坦被捕狗推投稿】❗️ 巴基斯坦伊斯兰堡警察扣押护照、私人手机、还收刮现金，每天停电停水一天只给一顿饭吃，简直就是CS。 ➡️ 投稿联系： 遥 路😀
❗️【柬埔寨非法赌博要凉了？柬埔寨正酝酿赌博相关新法案，整体监管力度、处罚条款迎来全面升级！】❗️ 本次法案由柬埔寨司法部牵头研讨，联合内政部、国家商业博彩管理委员会等多部门协同打磨，目标完善统一的执法惩戒标准。 新规重点针对几类乱象：无证线下私赌、跨境非法网络赌博、赌场捆绑电诈、违规招揽外籍赌客等。后续落地后，全国范围赌场常态化巡检会加码，违规主体将面临更重罚款、牌照吊销，涉案人员还会同步追究刑责。 ➡️ 投稿联系： 遥 路😀
❗️【网传妙瓦底泰昌园区遭打击后全员清空说法存疑】❗️ 近期网络流传消息称，妙瓦底泰昌园区在相关打击行动之后，园区人员已全部撤离、场地清空。 8月15日夜间获取的现场实拍画面显示，泰昌园区楼宇灯火通明，区域内照明设施正常启用，园区仍有运行迹象，与“园区清空、人员全部撤离”的网传信息并不相符。 ➡️ 投稿联系： 遥 路😀
❗️【伊斯兰堡斯被抓狗推反馈】❗️ 巴基斯坦警察雇佣本地人进入大楼。带着面具，手持铁棍要对里面的人进行殴打。强迫他们签署犯罪文件🔥 目前大楼里面的人要求律师出门，本地警察不予理会，请中国和越南大使馆关注此事件！“我们需要依法维护自己的合法权益。过去几天，我们遭受了许多不公平、不合理的对待，现在我们要求相关方面尊重并保障我们的基本权利。 我们正式要求尽快归还被扣留的手机、护照以及其他个人物品和证件，并保障我们能够正常与家人及外界取得联系。同时，我们要求获得律师的法律协助，以确保后续所有程序依法、公正、透明地进行。 我们愿意依法配合必要的调查和程序，但我们的合法权益同样必须得到充分尊重和保障。我们希望通过合法途径解决问题，并要求停止任何不公正或不合理的对待。” ➡️ 投稿联系： 遥 路😀
❗️【泰昌园区周六夜部分熄灯，仍有大范围亮灯，消息称部分人员正转移】❗️ 8月15日晚，位于缅甸一侧、泰国达府朴帕县邦卡本村对岸的泰昌园区出现部分区域熄灯、整体亮度下降的情况。现场观察显示，部分建筑已经关闭灯光，但园区中心的大型建筑群仍保持较为明显的照明，园区并未出现整体停运或完全熄灯的迹象。 泰昌园区此前被多方指认为缅甸克伦邦考克特区主要诈骗园区之一。近期，随着当地军事压力及武装冲突加剧，园区及周边安全形势持续受到关注。 据现场消息，近期已有部分人员及相关运营活动陆续向其他地点转移。不过，目前尚无法仅凭夜间灯光变化判断园区内部具体运营情况，也无法据此确认相关诈骗活动是否仍在持续。 从8月15日晚的现场情况来看，泰昌园区部分楼栋虽已熄灯或降低照明强度，但仍有相当数量的建筑保持亮灯，园区整体仍具有明显的人员及运营活动迹象。 现场位置：泰国达府朴帕县邦卡本村对岸、缅甸一侧泰昌园区。 ➡️ 投稿联系： 遥 路😀
❗️【网友投稿：为什么很多人深知犯罪会坐牢，但是他们依然走上了东南亚这条道路？】❗️ 因为他们明白一点： 犯罪只会影响三代，穷会影响世世代代。 你们赞同吗？ ➡️ 投稿联系： 遥 路😀
💩#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…
❗️【网友投稿：缅甸木姐105码莫东地区被突袭】❗️ 据说是一个中国卧底被打死，导致园区失去保护。随后，缅甸军方、同盟军领导和中国公安联合执法，600多人四处逃窜，逃跑途中还有人摔断了腿。目前已有三百多名人员被抓，另外有一部分人成功逃脱。 园区里什么都可以随便拿，大型建筑材料、拖拉机、油漆、床、发电机等全部允许拖走，目前园区已经被洗劫一空。 ➡️ 投稿联系： 遥 路😀
❗️【缅甸木姐聂科登村诈骗园区被突袭】❗️ 诈骗人员提前收到通知都跑完了，里面的物资、家具、办公用品都被村民们拖走了。 ➡️ 投稿联系： 遥 路😀
Showing the 12 most recent of 168 posts we hold for @xinwenbg3. 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 — 87,288 of 1,481,243entries 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.
Named by 50 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨新闻《柬埔寨曝光》” (@xinwenbg3), 31,502 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/xinwenbg3.
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.