来非洲工作的感受: 到非洲这边工作半年多了,说实话,感觉非洲这边的狗推比我们国人狗推坚强、努力多了。我们国人狗推平日里总是抱怨公司这不行、那不合理的,上班累、待遇低。非洲这帮狗推就表现得很知足,至少盘总们过去开盘,给他们带来了可以敲键盘改变人生的机会,否则在他们国家永远没有翻身的机会。 从他们平时的工作态度中看得出来,他们很珍惜公司给予的平台、福利和工作环境。我觉得这一点,我们真的应该向黑子哥学习一下,少点抱怨,多点努力。把时间花在吐槽上面,不如花精力去解决问题,在工作中修炼自己。大家觉得有道理吗?

Channel
柬埔寨泰国新闻/头条热点
@cgxwss
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
40,996subscribers
-6,555 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1003009759037 |
|---|---|
| Type | Channel |
| Username | @cgxwss |
| Description | 合作: @pdx656 #东南亚 #泰国 #缅甸 #金三角 #迪拜 #柬埔寨 |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 1 September 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 1 September 2026 |
| On Telegram | t.me/cgxwss |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Sept 2026, 03:49 | 40,996 | -631 |
| 31 Aug 2026, 00:27 | 41,627 | -471 |
| 30 Aug 2026, 02:07 | 42,098 | -323 |
| 29 Aug 2026, 05:23 | 42,421 | -536 |
| 28 Aug 2026, 04:42 | 42,957 | -519 |
| 27 Aug 2026, 03:33 | 43,476 | -185 |
| 26 Aug 2026, 03:49 | 43,661 | -178 |
| 25 Aug 2026, 01:13 | 43,839 | -114 |
| 23 Aug 2026, 16:37 | 43,953 | -112 |
| 22 Aug 2026, 00:05 | 44,065 | -108 |
| 20 Aug 2026, 16:12 | 44,173 | -133 |
| 19 Aug 2026, 18:52 | 44,306 | -156 |
| 18 Aug 2026, 16:08 | 44,462 | -360 |
| 17 Aug 2026, 14:16 | 44,822 | -403 |
| 16 Aug 2026, 09:04 | 45,225 | -441 |
| 14 Aug 2026, 19:46 | 45,666 | -110 |
| 13 Aug 2026, 11:24 | 45,776 | -396 |
| 12 Aug 2026, 09:58 | 46,172 | -354 |
| 11 Aug 2026, 06:41 | 46,526 | -302 |
| 10 Aug 2026, 09:34 | 46,828 | first reading |
Engagement
187 posts held, back to 5 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 52 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.26%
- avg views ÷ 40,996 subscribers
- Avg views / post
- 928
- 187 posts measured
- Reaction rate
- 44.7%
- reactions ÷ views · ER floor
- Posts in window
- 187
- of 187 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 8 of 187 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 31 August 2026 |
|---|---|
| Posts held | 187 (5 August 2026 – 31 August 2026) |
| Views total | 173,537 |
| Reactions total | 2,358 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Sept 2026, 06:09 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
- ≈13,700
- Videos
- ≈313
- Links
- ≈182
Lifetime counters from Telegram’s own channel header, read 1 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.
- Video runtime
- 45s
- Average length
- 23s
Measured directly from 2 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
2,358 reactions across 8 posts, in 14 distinct kinds. The most used accounts for 10.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💩 | 249 | 10.6% | |
| 🤬 | 229 | 9.71% | |
| 🤮 | 226 | 9.58% | |
| 😈 | 220 | 9.33% | |
| 👎 | 218 | 9.25% | |
| 🍌 | 208 | 8.82% | |
| 🖕 | 206 | 8.74% | |
| 😡 | 203 | 8.61% | |
| 🥱 | 202 | 8.57% | |
| 😢 | 197 | 8.35% | |
| 💔 | 194 | 8.23% | |
| 🔥 | 3 | 0.127% | |
| ❤ | 2 | 0.085% | |
| 🙏 | 1 | 0.042% |
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 8 of the 187 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 2,358 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 187 most recent posts we hold, published 5 August 2026 to 31 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
老挝公安部特设委员会突查4处网络犯罪及在线赌博窝点 2026年8月29日,老挝公安部特设委员会在万象市对4处网络犯罪和在线赌博窝点展开专项整治行动。其中,丝柯达崩区(Sikhotabong)3处,赛色塔区(Saysettha)1处。 行动共逮捕犯罪嫌疑人30人(含女性1人),涉及3个国籍:中国籍22人、越南籍7人、老挝籍1人。现场查获大量涉案物品,包括台式电脑、笔记本电脑、手机、SIM卡、猫池(Simbox)及其他作案工具。
德昂民族解放军(TNLA)控制下的南坎镇因山洪暴发,导致班派、包内和庞街区(庞河)多处内涝。洪水来势迅猛,部分民房进水,家电衣物受损。 当地居民表示,虽然雨势不大,但突发山洪造成水位快速上涨。目前洪水已退,但街道残留大量淤泥,部分路段至今日上午仍无法通行。居民正自行清理,初步估计损失达数十万缅元。 当地提醒,当前雨季需警惕山洪风险,注意安全防范。
两名中国籍网诈嫌犯行贿警员得以逃脱,柬埔寨涉案警务人员与翻译被拘留 柬埔寨国公省法院已拘留三名警员以及一名翻译,上述人员涉嫌收受好处,协助两名因网络诈骗被捕的中国嫌疑人从省警察总部脱逃。两名涉案中国男子分别为48岁许峰与35岁毕瑞,出逃之后,警方分别在西哈努克省、特本克蒙省将二人再度抓捕归案。 此前国公省统一指挥部在达拉沙凯地区开展打击网络诈骗专项清扫行动,现场抓获百余名中国籍嫌疑人。8月21日,许峰、毕瑞通过贿赂手段从羁押地点逃走。事发之后相关部门迅速启动调查,抓获涉案公职人员与翻译,四人现已面临刑事追责。警方还在持续排查,寻找其余涉案同谋,严肃整治执法环节腐败漏洞。
Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_7786309538
清莱府清莱市警察局在局长吉迪蓬·吉拉乍伦蓬上校指挥下,于8月29日晚8时许,在清莱市巴奥东猜县帕奥东猜镇菩提岩村附近展开缉毒行动。警方接获线报,有毒品将经此区域运输。当晚7时30分,线人报告发现一辆白色丰田皮卡(后厢载铁笼)驶过公共运河桥进入果园。警方立即展开监控。晚8时许,发现该车满载麻袋驶出果园,示意停车检查时,司机加速逃入茂密草丛。警方紧追不舍,皮卡最终失控翻入公共运河。 警方协助车内人员脱困后查获499万粒甲基苯丙胺片(疯药),市值约2.5亿泰铢。
这两天发现波贝位置中的排屋有大量多外籍人员陆续搬运手机、电脑及生活用品进入并入住,人员进出及物品搬运情况较为频繁,根据暗中观察,白天有专门送餐、房间一直亮,情况较为异常,存在在排屋内从事非法活动的可能 现将上述情况向有关部门反映,恳请省、市相关部门予以重视,并安排有关人员对相关区域进行核查,如发现存在违法违规行为,请依法依规进行处理,以维护当地正常的社会秩序和公共安全。
泰国警方在普吉岛塔朗区一家酒店,成功抓获48岁美国公民兰斯·贝克。该男子系美国联邦调查局通缉的儿童性犯罪嫌疑人,案发后潜逃至泰国藏匿。 据悉,贝克涉嫌虐待、强奸14岁以下未成年人,还拍摄性侵影像,同时牵涉人口贩运、协助儿童非法性交易、乱伦等多项重罪,手握美国阿拉巴马州7项逮捕令及1项联邦逮捕令,共计八项通缉指控。 8月27日,泰国警方收到美方协助追查请求,联合移民局追踪线索,查实贝克从普吉国际机场入境藏匿。落网后,贝克确认自身身份,其泰国居留许可被依法撤销,目前已被移送移民拘留中心,等待遣返回美国接受司法审判。
柬埔寨新闻:警方推出网络诈骗举报应用程序 8月28日,柬埔寨国家警察总署正式推出名为 “Kapea Scams” 的移动应用程序,允许民众在遭遇或怀疑遇到网络诈骗时直接进行举报。 该应用还提供防诈骗指南,帮助警方快速接收并处理相关信息。 经核实涉案的电话号码可能会被系统自动拦截呼叫。举报数据还将用于分析诈骗手段,并通过短信(SMS)向公众发布预警信息。
泰国芭提雅地区展开大规模的打击卖淫招嫖行动,扣押了25名涉嫌向游客招揽嫖客的人员。 话说,美军林肯号航母打击群即将靠泊,5000美国大兵即将在芭提雅登陆消费... ...值此时刻,泰国人假正经搞扫黄,给美国人上眼药,属实不合时宜! 建议美军航母打击群改为靠泊柬埔寨西港
马六甲武吉卡迪一处酒店前方的船只仿真展品发生火灾。甲州消拯局接到求救报警后,派遣7名消防员火速赶赴现场,救援人员仅耗时3分钟便抵达事发地点。 消防队伍抵达时船只仿制品已是一片火海,火势6分钟得到控制,历经45分钟的扑救明火被完全扑灭。 这场大火烧毁该仿真船只约90%的面积,万幸事故没有造成人员伤亡。目前起火的具体原因仍有待消防部门进一步勘查调查。
柬埔寨称已全面清剿网诈园区 外界评价仍持怀疑态度 路透社昨天报道,柬埔寨负责打击网诈的国务大臣蔡西那烈向外国外交官表示,柬境内大规模诈骗已被彻底控制,已无网诈园区存在。但他承认犯罪分子正转向客栈、公寓及咖啡厅等小规模分散活动。自2025年7月以来,柬警方已对793处地点展开调查,清剿624处并逮捕近3万人。 对此,大赦国际及东南亚跨国犯罪专家表示高度怀疑,认为在缺乏独立核查且政治保护网未查清前,不能将表面上的分散打击等同于彻底铲除该产业链。 专家强调:“衡量长期成效的真正标准,不在于关停了多少个园区,而在于幕后黑手是否得到了调查与起诉,以及是否成功防止了他们重操旧业。”
Showing the 12 most recent of 187 posts we hold for @cgxwss. 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.
Mentions
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 1 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨泰国新闻/头条热点” (@cgxwss), 40,996 subscribers as measured 1 September 2026. Telegram Register, tgregister.com/channel/cgxwss.
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.