盘点东北老大娘金句,唠透缅北现实,搞笑又警醒 要说讲大道理,还得看东北老大娘,嘴上说着段子,句句点破缅北的残酷现实,幽默的背后全是忠告。 👉大娘缅北经典语录: 1. 被朋友骗到缅北去,血都抽干了,那地方多危险。别总幻想自己本事大,觉得换做是你就能逃出来。牛魔王去了都得耕地,唐三藏去了都得打出舍利,孙悟空去了都得演大马戏。 2. 唐僧当年从西安出发去取经,要是改从云南出发,上午到缅北,下午直接就到西天,西游记两集就能大结局。 3. 别轻信境外高薪招工,什么月入几万轻松赚钱。天上不会掉馅饼,掉下来的大多是陷阱,贪图高回报,一不小心就踏入万丈深渊。 4. 别听别人吹那边混得多风光,能平平安安回家,才是最大的本事。异国他乡的钱不好挣,一步踏错,想回头都难。 玩笑归玩笑,现实一点不开玩笑。缅北没有暴富神话,只有重重陷阱,千万不要被花言巧语迷惑,远离境外高薪诱惑。

Channel
西港事件 | 柬埔寨新闻
@xgsj9
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
17,762subscribers
-1,483 since we began measuring on 15 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001969693044 |
|---|---|
| Type | Channel |
| Username | @xgsj9 |
| Description | #柬埔寨新闻 #西港 #东南亚突发 #华人圈 #柬埔寨突发事件 📢 西港事件 — 聚焦柬埔寨、西港及东南亚华人圈最新动态!突发新闻、商业内幕、美食爆料一网打尽。 ✅ 热点突发|真实事件|东南亚资讯 🌏 不论你身在何处,我们总比你早一步知道! 🎁 投稿有赏|独家线索赢现金奖励 📝 本频道只发布,不评论,信息请理性辨别。 投稿爆料/商务合作: @xgsj99 西港007情报处: @xgsj999 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 15 August 2026 |
| Last confirmed live | 26 August 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 26 August 2026 |
| On Telegram | t.me/xgsj9 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 15:03 | 17,762 | -74 |
| 25 Aug 2026, 15:45 | 17,836 | -109 |
| 24 Aug 2026, 17:34 | 17,945 | -180 |
| 23 Aug 2026, 04:14 | 18,125 | -150 |
| 21 Aug 2026, 16:08 | 18,275 | -259 |
| 20 Aug 2026, 13:25 | 18,534 | -72 |
| 19 Aug 2026, 16:53 | 18,606 | -81 |
| 18 Aug 2026, 16:58 | 18,687 | -112 |
| 17 Aug 2026, 13:35 | 18,799 | -305 |
| 16 Aug 2026, 03:37 | 19,104 | -141 |
| 15 Aug 2026, 07:01 | 19,245 | first reading |
Engagement
289 posts held, back to 15 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 · 30 days
- 7.04%
- avg views ÷ 17,762 subscribers
- Avg views / post
- 1,250
- 286 posts measured
- Reaction rate
- 0.069%
- reactions ÷ views · ER floor
- Posts in window
- 289
- of 289 held
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 36 of 286 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 August 2026 |
|---|---|
| Posts held | 289 (15 August 2026 – 26 August 2026) |
| Views total | 357,737 |
| Reactions total | 28 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Aug 2026, 23:17 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.
What this channel posts
- Photos
- ≈38,500
- Videos
- ≈8,270
- Links
- ≈17,200
Lifetime counters from Telegram’s own channel header, read 26 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.
- Video runtime
- 1h 11m
- Average length
- 50s
Measured directly from 85 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.
Reaction mix
28 reactions across 27 posts, in 2 distinct kinds. The most used accounts for 67.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 19 | 67.9% | |
| ❤ | 9 | 32.1% |
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 36 of the 289 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 289 most recent posts we hold, published 15 August 2026 to 26 August 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.
Recent posts
#缅甸诈骗园区升级:全面引入 AI 技术,犯罪效率呈指数级暴增 近日,据量子位(QbitAI)及安全机构 C4ADS 披露,缅甸妙瓦底等地的“杀猪盘”与电信诈骗园区正全面借助 ChatGPT、Gemini 等 AI 工具实施跨国诈骗。 📌 核心要点总结: AI 扮演“效率倍增器”:目前诈骗分子主要利用 AI 进行多语言翻译、文本润色、话术生成及批量群聊,大幅提升作案效率。 AI 比人类更易骗取信任:研究显示,在 7 天的实验中,46% 的受害者下载了 AI 推荐的软件(人类推荐仅占 18%),AI 组的信任评分(3.78分)也高于人类组(3.31分),且 95% 的人无法辨别对方是 AI。 走向“工业化、全自动化”:不法分子通过数十个假账号同时操作,单人即可锁定上百目标。未来随着 AI 代理(AI Agents) 的普及,犯罪团伙对人工的依赖将减少,但受害者规模可能面临成倍激增的风险。 行业警示:网络犯罪、加密货币与 …
#突发事件: 金边永旺1附近两帮人上百人打群架。
#老挝资讯 老挝两家企业向甘蒙省捐赠1亿基普,支援洪灾民众 8月25日,老挝甘蒙省政府举行赈灾捐赠活动,Song Meunang独资有限公司与Lao Sphere Tech有限公司联合向甘蒙省捐赠1亿基普现金,用于帮助近期受洪灾影响的当地居民。 此次捐款由企业负责人及管理团队代表交付,甘蒙省行政委员会副主席 Detsakda Manikham代表省政府接收。捐赠方表示,希望通过此次援助减轻受灾家庭当前面临的生活压力,并为后续恢复正常生产生活提供支持。 甘蒙省近期部分地区受到洪水影响,居民住房、出行及日常生活均不同程度受阻。此次企业捐款将主要用于救灾和灾后恢复相关工作。 当地方面表示,来自私营企业的援助有助于补充政府救灾资源,同时体现社会各界对受灾群众的支持。
#缅甸新闻 8月26日大其力“红尼乌”(ရောင်နီဦး)园区打着休闲公园幌子死灰复燃,重新经营“诈骗园区”(网赌电诈),由中国人“三哥”带头,约有400人 据实地调查了解,在掸邦东部大其力市的“红尼乌”(ရောင်နီဦး)园区内,各方打着“休闲公园项目”的招牌作掩护,在各个角落重新开设并运营电信诈骗(网赌电诈)业务,同时还向曼德勒市走私贩运毒品。 据悉,该“红尼乌”地块的拥有者是一名“佤”族(Wa)商人。起初,该地块由中国籍人员租赁并建造房屋,用于从事网络赌博和电诈业务,但后来由于“保护费”(通路费)不断上涨,大多数中国人员纷纷撤离。 经多方核查了解,目前该园区由当阳(Tanyang)籍华人“三哥”及其4位兄弟继续带头管理和运营。 一名消息人士透露:“其经理名叫王中(音译)。在公墓附近还开设了一家赌场。最核心的人物是‘三哥’,他是当阳人,目前住在和尚大其力。他靠电诈发家致富。 军方一直在盯着他们,而红尼乌园区甚…
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#国内资讯 为了躲避警方侦查,电诈团伙竟然玩起了“高科技反侦察”,无人机、监控设备轮番上阵,自以为能够把警方的一举一动尽收眼底。 但他们显然低估了警方的侦查能力。近日,甘肃兰州警方将计就计,上演了一出“36计中的计中计”,在与诈骗分子斗智斗勇的过程中成功将其抓获。 自以为天衣无缝,殊不知早已进入警方的“局中局”。科技可以用来反侦察,但再狡猾的诈骗分子,也逃不过警方的法网。
#新加坡新闻 上半年诈骗损失高达4.106亿新元 投资诈骗卷走近1.7亿 8月26日,新加坡警察部队公布2026年上半年诈骗与网络犯罪数据。1月1日至6月30日,新加坡共录得18,391宗诈骗及网络犯罪案件,同比下降17.9%;其中诈骗案件16,821宗,同比下降14.4%,占全部案件的91.5%。 虽然诈骗案件有所减少,但损失金额依然惊人。上半年诈骗损失约4.106亿新元,较2025年同期约5.002亿新元下降17.9%。其中,加密货币相关诈骗损失约6550万新元,占全部诈骗损失约16%。 投资诈骗仍是损失金额最高的诈骗类型。上半年共发生2,256宗,受害者合计损失约1.698亿新元;冒充政府官员诈骗造成的损失也高达约9080万新元。 电商诈骗则逆势上升,成为案件数量最多的诈骗类型。上半年共录得3,865宗,同比增加19.3%,损失约830万新元,同比增加18.9%。新加坡政府反诈平台8月24日发布的专项报告也显示,电…
#东帝汶新闻 东帝汶升级国家反诈体系,成立国家级协调中心直报总理 8月26日,东帝汶部长会议正式批准设立国家跨国威胁协调、评估和打击中心,把打击网络诈骗、数字金融诈骗和跨国犯罪提升到国家层面统筹。 这个新机构直接向总理汇报,由国家战略情报局局长负责协调,刑事科学调查警察负责人协助,多部门共同参与。 CN-CAT盯住的重点很明确,包括数字金融诈骗、网络诈骗平台、有组织网络犯罪、外国人非法入境和非法居留,以及人口贩运。 今后,各部门掌握的相关情报将通过这一机制集中共享。CN-CAT还将持续评估诈骗和跨国犯罪风险,向总理提交预警和战略报告,并协调跨部门联合行动,避免各部门各自为战。 这一机构也是东帝汶2026—2031年国家打击计划的重要组成部分。该计划已于8月5日获批,重点就是持续打击跨国数字金融诈骗、网络诈骗平台、有组织网络犯罪和人口贩运。 不过,CN-CAT主要负责情报整合和跨部门协调,本身不直接承担刑事调查。具体案…
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菩萨省5号公路半夜查电诈人员?还可以协商解决? 一名柬埔寨网友发帖称,车牌号为“金边 2CC-1919”的车主到底是什么人?竟在半夜开车拦停路过民众的车辆,盘问车上的中国人是不是搞网络诈骗的,还称如果是搞网诈的“可以私下协商解决”。 随后他竟还声称“新法律不允许外国人沿路通行”,这难道符合规定吗? 该事件发生在菩萨省5号国道沿线。网友请上级部门协助调查核实,此人究竟是执法人人员还是假警察?
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Showing the 12 most recent of 289 posts we hold for @xgsj9. 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
Citation-graph rank — 1,196,119 of 1,605,487entries 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.
Mentions
Named by 1 registered channel — 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.
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.
Cite this entry
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 26 August 2026 — this entry's latest reading, not the date you are reading this.
“西港事件 | 柬埔寨新闻” (@xgsj9), 17,762 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/xgsj9.
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.