#网友反馈:位于柬埔寨木牌的N98 (3)号旅馆/酒店内、存在大规模网络犯罪活动、该团伙的活动范围涵盖大楼的6、7、8层。 此外716号房间内还存在吸毒行为,工作时间早上8点到中午12点,午休至1点后工作到6点,6楼614房间专门放电脑设备。 ps:抓紧时间撤吧,这会警察肯定收到举报😂 关注大事件频道🙂@kanxia 投稿:@geren
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Channel
@kanxia
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
452,783subscribers
-16,663 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 316,228–1,000,000.
| Telegram ID | -1001601253693 |
|---|---|
| Type | Channel |
| Usernames | @dnydsj @kanxia |
| Created | Between 1 November 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 October 2026 |
| Measurements held | 75 |
| Confirmed unchanged | 1 time, most recently 14 October 2026 |
| On Telegram | t.me/kanxia |
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 63% 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 |
|---|---|---|
| 14 Oct 2026, 18:58 | 452,783 | no change |
| 14 Oct 2026, 18:38 | 452,783 | -824 |
| 13 Oct 2026, 13:45 | 453,607 | -10 |
| 13 Oct 2026, 13:01 | 453,617 | -27,716 |
| 9 Oct 2026, 17:18 | 481,333 | no change |
| 9 Oct 2026, 15:57 | 481,333 | +15,649 |
| 5 Oct 2026, 13:17 | 465,684 | -181 |
| 5 Oct 2026, 05:21 | 465,865 | -3,579 |
| 29 Sept 2026, 17:37 | 469,444 | -713 |
| 28 Sept 2026, 13:59 | 470,157 | -30,065 |
| 18 Sept 2026, 01:42 | 500,222 | no change |
| 17 Sept 2026, 22:16 | 500,222 | -2,484 |
| 15 Sept 2026, 20:59 | 502,706 | no change |
| 15 Sept 2026, 20:17 | 502,706 | +35,607 |
| 14 Sept 2026, 07:19 | 467,099 | no change |
| 14 Sept 2026, 07:17 | 467,099 | -1,877 |
| 12 Sept 2026, 19:17 | 468,976 | -659 |
| 12 Sept 2026, 14:38 | 469,635 | -3,666 |
| 10 Sept 2026, 23:17 | 473,301 | -223 |
| 10 Sept 2026, 13:19 | 473,524 | first reading |
1,497 posts held, back to 7 August 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 141 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 596 of 710 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 October 2026 |
|---|---|
| Posts held | 1,497 (7 August 2026 – 14 October 2026) |
| Views total | 18,498,099 |
| Reactions total | 11,869 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Oct 2026, 10:06 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.
Measured directly from 412 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.
15,841 reactions across 843 posts, in 58 distinct kinds. The most used accounts for 23.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3,788 | 23.9% | |
| 👍 | 3,093 | 19.5% | |
| 🤯 | 776 | 4.90% | |
| 🔥 | 713 | 4.50% | |
| 😱 | 618 | 3.90% | |
| 🤔 | 606 | 3.83% | |
| 😢 | 537 | 3.39% | |
| 💩 | 477 | 3.01% | |
| 😐 | 452 | 2.85% | |
| 🍌 | 439 | 2.77% | |
| 🤬 | 337 | 2.13% | |
| 🐳 | 309 | 1.95% | |
| 😍 | 300 | 1.89% | |
| 😁 | 293 | 1.85% | |
| 🎉 | 260 | 1.64% | |
| 👏 | 238 | 1.50% | |
| 🤩 | 227 | 1.43% | |
| 🥰 | 208 | 1.31% | |
| ⚡ | 166 | 1.05% | |
| 🌭 | 158 | 0.997% | |
| 38 further kinds | 1,846 | 11.7% |
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 847 of the 1,000 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 15,841 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 28 August 2026 to 14 October 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kanxia. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 28 August 2026 to 14 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#网友反馈:位于柬埔寨木牌的N98 (3)号旅馆/酒店内、存在大规模网络犯罪活动、该团伙的活动范围涵盖大楼的6、7、8层。 此外716号房间内还存在吸毒行为,工作时间早上8点到中午12点,午休至1点后工作到6点,6楼614房间专门放电脑设备。 ps:抓紧时间撤吧,这会警察肯定收到举报😂 关注大事件频道🙂@kanxia 投稿:@geren
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柬埔寨内政部回应半岛电视台纪录片:坚决否认保护伞质疑 针对半岛电视台纪录片揭露七星海长湾诈骗园区及华裔商人邓丕兵声称“八成收益用于打点关系”一事,柬埔寨内政部副发言人杜速克回应称,这纯属邓丕兵个人夸大事实、炫耀背景的吹嘘行为,绝无政府机构或官员与其分红。 关于视频中出现的警车,杜速克强调,政府严禁公车私用或为非法活动打掩护,不排除私自改装或假冒警车的可能。 针对涉案的“长湾”园区,内政部证实警方此前已对其展开行政检查与打击封锁,目前案件正依法深挖,坚决打击利用国家资源与合法投资掩盖非法勾当的行为。 发言人不错,撇的很干净,晚上加鸡腿~~ 关注大事件频道🙂@kanxia 投稿:@geren
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#网友反馈 在干拉省建瑞县一个池塘里,捞出一具肿胀发烂的男尸,目前还不知道具体死因和身份。 关注大事件频道🙂@kanxia 投稿:@geren
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#网友反馈:今天乘坐厦门航空,托运行李后,行李箱内钱包里的钱被偷走,钱包里的证件也在,现金全部被拿走了。建议有贵重物品的千万别托运行李。 关注大事件频道🙂@kanxia 投稿:@geren
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☺️☺️☺️☺️☺️☺️ 😘😘😘😘😪😮💨😵 🌟 品牌运营 · 公平透明 🈴 上亿储备 · 实力品牌 · 放心娱乐 😀官方网址: 6G.com 📌柬埔寨专用域名: 6G.VIP 🦧🦣🐘🦛🦏🐪🐫🦒🦘 😔 持续积累口碑,平台实力看得见 ➡️ 新人注册即送🔡 36U体验金 💎 原平台VIP等级 · 无条件转移 💎 返水😀.😀😀起·无需打码 💎 代理全线抽水+负盈返佣高达50% 💎 邀请好友奖励🍌🍌🍌U 🦬🐃🐂🐄🫏🐎🐖🐏🐑 😔 大额处理更迅速,服务体验更稳定 😃 爆庄实录|3天狂揽1086万U 😃 新客首存6万U,豪提209万U 😃 500一拉,PG实力兑现133万U 😀 官网: 6G.COM 😀 彩票: 6G567.COM 😕飞投 @AA6G 💻客服 @KF6G 1️⃣代理 @daili6g 🤑 爆奖 @ceo6g 🔓 实力无需解释 · 出款快就是证明!
中博发表联合声明:双边关系提升为全面战略合作伙伴关系,深化执法合作打击电诈及各类跨国有组织犯罪 10月13日,中华人民共和国与博茨瓦纳共和国发表《中华人民共和国和博茨瓦纳共和国关于建立全面战略合作伙伴关系的联合声明》。 声明提到,双方愿深化执法安全合作,就保护在本国的对方国家公民、机构、企业和项目安全和合法权益加强协调。双方将根据各自国内法和国际义务,共同打击网络和电信诈骗、贩毒、走私、人口贩运及其他有组织的跨国犯罪活动。 关注大事件频道🙂@kanxia 投稿:@geren
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全世界产出诈骗犯最多的国家Top30 尼日利亚是祖宗,印度紧随其后 美国、中国、俄罗斯排后 柬埔寨可以排19吗? 柬埔寨只是外国诈骗犯比较多本国出产的诈骗犯可以排19? 感觉数据上不太科学~~ 关注大事件频道🙂@kanxia 投稿:@geren
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#柬埔寨新闻:柬埔寨回应半岛电视台网络诈骗报道:涉事窝点此前已被查处,主要头目于2026年5月离境 柬埔寨从未否认本国存在网络技术诈骗犯罪。柬埔寨一直承认,国内确实存在通过网络技术实施的诈骗犯罪。 针对这类犯罪,柬埔寨已经制定相关法律以及多项法律法规和规范性文件,以打击网络诈骗犯罪。 在制定打击网络诈骗犯罪的相关法律后,柬埔寨在全国范围内依法采取打击网络诈骗的措施,绝不姑息。特别是,柬埔寨还与有关合作伙伴国家开展合作,在不隐瞒、不回避的情况下共同打击网络诈骗犯罪。 目前,柬埔寨境内多个大型诈骗窝点已经被查处并关闭,多个诈骗犯罪团伙的主要头目,包括外国人和柬埔寨人,均已被逮捕并移送法院审理;其中部分外国犯罪嫌疑人则被遣返回原籍国。 当然,尽管执法部门持续加大打击力度,这类犯罪仍可能以隐蔽形式存在。犯罪分子不断改变作案方式,从过去集中在大型建筑内开展活动,转变为藏身于小型出租屋,甚至利用流动车辆等方式实施犯罪。 尽管如此…
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#泰国资讯: 曾在柬埔寨从事电诈,回泰国后继续行骗!芭堤雅3名嫌疑人被捕 据泰国警方消息,10月13日,警方突袭春武里府芭堤雅一处可疑办公室,逮捕3名涉嫌参与电信诈骗的嫌疑人,并查获5部手机、笔记本电脑、银行存折及多份相关文件。 警方初步调查发现,嫌疑人涉嫌冒充网络警察,谎称能够帮助受害者追回此前被骗的资金,随后发送二维码,诱导受害者扫码,企图以“追回被骗资金”为名实施二次诈骗。 调查过程中,3名嫌疑人初步供称,他们此前曾在柬埔寨一家呼叫中心诈骗团伙工作约一年。返回泰国后,3人相约在芭堤雅设立办公室,继续通过电话联系泰国各地民众,涉嫌从事诈骗活动。 目前,警方正在进一步调查案件,追查相关资金流向、核实受害者人数,并排查是否有其他人员或诈骗网络参与其中。 关注大事件频道🙂@kanxia 投稿:@geren
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#最新消息:西港“赢嘉赌场”里的柬埔寨员工已经撤出去了,留给执法部门进去调查。 关注大事件频道🙂@kanxia 投稿:@geren
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#网友反馈:现在,所有从东南亚回国的人, 国家态度很简单:不一刀切,好人给路走,坏人往死打。 一、国家统一规矩 1. 主动回国自首的,基本从轻处理 普通底层员工,没打过人、没当过管理、没害人,自己主动回来、老实交代、愿意退赃的,大多取保、缓刑,不会重判。情节轻的,甚至可以免于处罚。 2. 赖在国外、被抓遣返、当过骨干的,一律严打 园区老板、组长、主管、打手、操盘手,还有喊回国拒不回来、被抓押解回国的,全部从重判刑,没有情面可讲。 3. 分得很清楚:被骗的没事,参与干活的有责 纯被骗、被拐过去,全程没干活、没骗过人、没拿过一分钱的,查清楚直接没事,不追责。 只要你上过班、拿过底薪、参与过诈骗流程,就算没骗到大钱,也算涉案。 二、全国地方政府统一操作 1. 回国全部建档管控 只要是境外回流人员,户籍地派出所立刻登记,收走护照、限制出境,防止再次偷渡出去。 2. 专人盯着、定期回访 实行三包一管理,民警、村干部、镇干部盯着…
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#网友反馈:关于入境马来西亚过海关盖章的坑!各位准备入境马来西亚,或者在大马当行政的,要注意看! 海关工作人员只要一个章盖错日期,或者漏盖,你可能直接被判定非法逾期逗留或者非法入境。马来西亚移民局只认护照印章,不认系统里面的入境记录。只要印章错了,就是你的问题。 我一度怀疑他们这种是故意搞我们持中国护照的中国人。其他台湾和越南朋友都没听说过有盖错的。我们七月份入境三人,有一个盖错日期,有一个根本入境章都没盖。 离境的时候才发现,日期错的交了罚款,漏盖章的直接说他非法入境,现在正在等着开庭。 这种事情中国领馆都发过提醒,不是小事。今天说给大家几个入境注意的事项: 第一,过关的时候拿到护照,当场核对日期、月份、年份是否准确,章是否清晰完整。 第二,记住柜台号和官员信息,留个心眼,出错好找人。 第三,发现错误立刻当场更正,别嫌麻烦,别不好意思,出了关卡说不清。 总之,大家记住,人在国外,护照、签证这些最重要,一定要自己…
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Showing the 12 most recent of 1,497 posts we hold for @kanxia. 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.
@kanxia edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Named by 8 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 10 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 92 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
8 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 14 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚大事件” (@kanxia), 452,783 subscribers as measured 14 October 2026. Telegram Register, tgregister.com/channel/kanxia.
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.