Channel
@xinwenbg3
On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
41,905subscribers
+10,302 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| 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 | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 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 |
|---|---|---|
| 18 Sept 2026, 16:37 | 41,905 | -1,116 |
| 16 Sept 2026, 05:59 | 43,021 | -713 |
| 14 Sept 2026, 15:21 | 43,734 | -458 |
| 12 Sept 2026, 23:58 | 44,192 | -734 |
| 11 Sept 2026, 04:01 | 44,926 | -1,382 |
| 8 Sept 2026, 06:40 | 46,308 | -1,456 |
| 5 Sept 2026, 04:17 | 47,764 | -812 |
| 3 Sept 2026, 13:21 | 48,576 | -860 |
| 2 Sept 2026, 07:17 | 49,436 | -273 |
| 1 Sept 2026, 09:08 | 49,709 | -438 |
| 31 Aug 2026, 06:34 | 50,147 | -499 |
| 30 Aug 2026, 04:25 | 50,646 | -335 |
| 29 Aug 2026, 02:18 | 50,981 | -31 |
| 27 Aug 2026, 23:33 | 51,012 | -23 |
| 26 Aug 2026, 22:56 | 51,035 | -10 |
| 26 Aug 2026, 00:48 | 51,045 | +19,637 |
| 24 Aug 2026, 23:12 | 31,408 | -15 |
| 23 Aug 2026, 11:58 | 31,423 | -33 |
| 21 Aug 2026, 22:15 | 31,456 | -5 |
| 20 Aug 2026, 16:12 | 31,461 | first reading |
796 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 91 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.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 796 (7 August 2026 – 23 September 2026) |
| Views total | 419,446 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 22:44 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 23 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 238 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.
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❗️【群友投稿：在东南亚待久了，别人眼里的我，好像永远没什么烦心事】❗️ 每天嘻嘻哈哈，见谁都能聊两句，一副没心没肺、什么都无所谓的样子。哪怕公司被查、工资没着落、客户跑了、身边的人一个个离开，我也总是笑着说一句：“没事，习惯了。” 可只有我自己知道，所谓的开朗，不过是我在异国他乡给自己裹上的一层保护壳。 骨子里的我，其实自卑又敏感，倔强又拧巴。别人随口的一句话，一个不经意的眼神，甚至聊天时语气稍微冷了一点，我都能一个人琢磨半天。遇到事情，第一反应也总是往最坏的方向想。 这些年一个人在外面漂，委屈受多了，失望攒多了，慢慢也就学会了什么叫自己消化。 不敢跟别人说太多，不是不想说，而是觉得说出来又能怎么样？大家都在为自己的生活奔波，谁又真的有时间听你那些乱七八糟的心事。 所以很多时候，白天还在公司里跟兄弟吹牛，说自己以后要赚多少钱，要在哪里上岸，要回国买房买车。 到了晚上，一个人躺在床上，手机放在旁边，突然就安静了。 …
❗️【网友分享：电诈打野安全与否位置是首选】❗️ 我们17个人3月份跟着部门主管从西港打野的公寓里面撤出搬来白马市的，刚开始到这边的时候都是两眼一抹黑，也不晓得跟西港比白马市这边打野安全情况是否会更好些。 我们租的2套别墅房是靠近白马市的海岸线，这边的本地行人和来海边的游客都很少看似属于偏安静的郊区。我们这个别墅小区出门就是大马路，这个小区里面的房主都是在白马市本地有钱有势的货，听说里面还有本地高官的房产。 我们在2套别墅里面住了大半年打野房主从没有来过房子里面检查，全权委托给中介来对接所有事物很神秘的感觉。我们的租期是1年押2付1一次性把整年的房租都已经付清了。这大半年以来白马市也抓了很多打野做电诈的外国人，我们作为在白马市打野的团队当然也会恐慌，这些被抓的人据我们细心观察他们都是居住在白马市区里面人流量大的公寓民房和酒店，离我们的海边别墅区有一定的距离，被抓的这些外国人绝大多数是越南泰国韩国和中国人。 我们能安全的已…
❗️【网友投稿：从设计逻辑开始，老虎机就是一款最适合操控的博彩游戏】❗️ 赌场最爱稳赚不赔的老虎机可以通过程序控制结果，但有一个致命缺陷：太像机器，满足不了豪客的需求。 随着这几十年亚洲博彩市场不断扩大，尤其是中国客源快速增长，一批突然暴富、手里有钱却缺乏认知的暴发户进入赌场。对赌场来说，这恰恰是一个巨大的机会：资金越来越多，客人对机制的了解却远远跟不上，信息差巨大。 赌场需要的，正是一种看起来足够高端、能够承载巨额下注，却又保留老虎机逻辑的游戏：百家乐恰好满足了这一切。 百家乐给玩家庄和闲两个选择，让你感觉自己掌握了主动权；但实际上，你能选择的只有下注方向，不能选择发什么牌，更不能决定最终结果。 它给你选择，却不给你结果。 德州扑克、二十一点等游戏，玩家可以通过要牌、停牌、下注、弃牌等行为真正参与游戏过程；百家乐却把玩家的决策压缩成一句话：庄，还是闲？ 剩下的一切，交给发牌机制。 所以从产品结构来看，百家乐就像一台披着…
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❗️【柬泰边境发现大批电脑设备】❗️ 9月22日，泰国尖竹汶府边境巡逻人员在靠近柬埔寨拜林省的农田棚屋内，发现57箱可疑物品，包括电脑设备、零部件、行李及护照等文件，目前已全部扣押调查。 据报道，拜林省此前下令沙拉考当地赌场及网赌场所在9月30日前停止运营。泰方怀疑，这批设备可能与相关网赌场所转移有关，从柬埔寨经非正式通道运入泰国，目前警方正追查物品来源及相关人员。 ➡️ 投稿联系： 遥 路😀
❗️【中柬联合执法成效显著 大批涉案中国籍人员被遣返】❗️ 柬埔寨内政部副发言人杜苏克透露，一年多来，柬警方应中国驻柬大使馆及澜湄合作机制请求，协同调查了多批涉及网络诈骗、非法拘禁及跨国犯罪的涉案人员，并成功解救多名受害者。其间，中方安排数百架次包机，将数万名涉诈中国籍人员押解回国受审。 这些成果得益于两国执法合作协调办公室及澜湄执法合作中心的紧密配合。柬方表示将继续深化合作，严厉打击各类跨国网诈犯罪。 ➡️ 投稿联系： 遥 路😀
❗️【泰国反洗钱办一口气处理77宗案件，涉诈网赌资产超35亿泰铢】❗️ 9月22日，泰国反洗钱办公室公布最新执法结果，一次处理77宗案件，涉及2593项资产，总值超过35.32亿泰铢，案件主要涉及公众诈骗、惯常性诈骗和网络赌博。 其中39宗案件的918项资产被扣押或冻结，总值约19.02亿泰铢。28宗案件涉及1645项资产，总值约10.82亿泰铢，已移交检察机关，申请法院判归国家所有。 另外10宗诈骗案件涉及30项资产，总值约5.48亿泰铢，将申请返还或赔偿受害者。这批案件实际于9月7日经泰国反洗钱办公室交易委员会审议，相关处理结果于9月22日正式公布。 ➡️ 投稿联系： 遥 路😀
❗️【柬埔寨警方与美国FBI联合成功清剿50个网诈窝点】❗️ 昨天，柬埔寨内政部副发言人杜苏克透露，基于双方签署的合作谅解备忘录，柬埔寨国家警察总署与美国联邦调查局（FBI）联合开展了12起案件的调查工作。调查内容涵盖加密货币账户、IP地址追踪及涉案车辆排查等，相关调查结果均已向美方反馈。 在打击电诈领域，柬方根据FBI提供的线索，成功对分布于奥多棉芷、卜迭棉芷、干拉、柴桢、贡布、特本克蒙及西港等7个省份的50个网诈窝点实施了清剿行动。 此前，FBI局长在与柬埔寨总理洪玛奈会面时，对柬方打击网诈犯罪的坚定决心与透明度给予高度评价。美方表示，双方的务实合作取得了显着成效。柬方则表示，将继续本着公开透明与负责任的态度，深化国际执法合作。 ➡️ 投稿联系： 遥 路😀
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❗️【金边召开反诈国际会议】❗️ 9月23日，柬埔寨首次主办的“2026年打击网络诈骗国际会议”在金边开幕，为期两天。首日上午举行开幕式，总理洪玛奈发表主旨演讲。中国公安部副部长杨维林，以及联合国毒品和犯罪问题办公室、澜湄综合执法安全合作中心、国际刑警组织和美国联邦调查局等代表在开幕式发言。 柬埔寨副总理兼内政部长苏速卡、东盟秘书长高金欢及缅甸、东帝汶、印度尼西亚、老挝、菲律宾、新加坡、乌干达、英国、越南等国高级官员均将出席并发言。 ➡️ 投稿联系： 遥 路😀
Showing the 12 most recent of 796 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨新闻《柬埔寨曝光》” (@xinwenbg3), 41,905 subscribers as measured 18 September 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.