#越南新闻:中国40岁逃犯凌晨潜入越南,欲经老挝逃往第三国,天亮前被抓捕。 凌晨4点左右,在奠边省一处偏远边境口岸附近,他的逃亡计划突然宣告结束。 这名40岁的中国籍逃犯因受到中国有关部门追捕,于9月29日被越南边防部队抓获。当时,他涉嫌试图非法越境前往老挝。 目前,该男子已被移交给中国有关部门。 三个国家,一场逃亡计划。最终,他在越南天亮之前落网。 🔘柬中时报:@cctimes 📢投稿爆料:@qimonv

Channel
柬中时报|柬埔寨新闻
@cctimes_channel
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
34,226subscribers
+6,659 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 | -1001946057103 |
|---|---|
| Type | Channel |
| Username | @cctimes_channel |
| Description | 《柬中时报》柬埔寨最具公信力和影响力的中文新闻媒体。The most influential Chinese media in Cambodia. 官方导航: @cctimes ✨为了符合电报用户喜好,电报版《柬中时报》将融合柬埔寨以及周边国家各类突发事件,园区爆料,吃瓜八卦,行业新闻。为广大用户带来精彩的东南亚华人生活资讯! 【投稿爆料】小猴 @xiaohou 【联盟】阳光新闻 @yangguang |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 30 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 30 September 2026 |
| On Telegram | t.me/cctimes_channel |
Topic
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 30 Sept 2026, 16:17 | 34,226 | -873 |
| 18 Sept 2026, 02:01 | 35,099 | -188 |
| 15 Sept 2026, 23:59 | 35,287 | -230 |
| 14 Sept 2026, 04:39 | 35,517 | -253 |
| 12 Sept 2026, 14:02 | 35,770 | -196 |
| 10 Sept 2026, 10:38 | 35,966 | -290 |
| 7 Sept 2026, 04:37 | 36,256 | +264 |
| 4 Sept 2026, 13:01 | 35,992 | -184 |
| 2 Sept 2026, 20:48 | 36,176 | -200 |
| 1 Sept 2026, 16:44 | 36,376 | -87 |
| 31 Aug 2026, 16:34 | 36,463 | -45 |
| 30 Aug 2026, 17:23 | 36,508 | -112 |
| 29 Aug 2026, 20:06 | 36,620 | -121 |
| 28 Aug 2026, 20:08 | 36,741 | -139 |
| 27 Aug 2026, 22:56 | 36,880 | -113 |
| 26 Aug 2026, 21:53 | 36,993 | -104 |
| 25 Aug 2026, 18:23 | 37,097 | -192 |
| 24 Aug 2026, 15:29 | 37,289 | -274 |
| 22 Aug 2026, 20:02 | 37,563 | +7,836 |
| 21 Aug 2026, 12:16 | 29,727 | first reading |
Engagement
1,187 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 97 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 4.78%
- avg views ÷ 34,226 subscribers
- Avg views / post
- 1,640
- 488 posts measured
- Reaction rate
- 0.066%
- reactions ÷ views · ER floor
- Posts in window
- 511
- of 1,187 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 69 of 488 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 1 October 2026 |
|---|---|
| Posts held | 1,187 (7 August 2026 – 1 October 2026) |
| Views total | 798,370 |
| Reactions total | 66 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 1 Oct 2026, 19:14 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
- ≈28,900
- Videos
- ≈7,090
- Links
- ≈20,200
Lifetime counters from Telegram’s own channel header, read 1 October 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
- 2h 58m
- Average length
- 49s
Measured directly from 219 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
73 reactions across 71 posts, in 11 distinct kinds. The most used accounts for 21.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 16 | 21.9% | |
| 👏 | 9 | 12.3% | |
| 🔥 | 8 | 11.0% | |
| ⚡ | 7 | 9.59% | |
| ❤ | 7 | 9.59% | |
| 🤩 | 7 | 9.59% | |
| 🎉 | 6 | 8.22% | |
| 😁 | 6 | 8.22% | |
| 🥰 | 5 | 6.85% | |
| 👌 | 1 | 1.37% | |
| 🖕 | 1 | 1.37% |
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 85 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 73 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 13 August 2026 to 1 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.
Recent posts
#西港太子寰宇公寓 今天被抓的推推,目前第一批被控制人员已经陆续被警车带离现场 🔘柬中时报:@cctimes 📢投稿爆料:@qimonv
SEATEL 宣布关闭充值渠道 母公司退出柬埔寨市场 柬埔寨电信运营商 东南亚电信SEATEL发布通知,因业务调整,于2026年9月30日起全面关闭所有充值渠道。 其泰国母公司 Symphony Communication 证实,受泰柬边境局势及运营成本上升影响,自今年6月起已全面暂停对柬所有连接服务,在柬无任何投资与设备,未来将聚焦泰国本土市场。作为仅约1万用户的本土小型运营商,SEATEL 的退出意味着其服务正式终止,官方提醒018用户关注后续余额清退或办理携号转网。 🔘柬中时报:@cctimes 📢投稿爆料:@qimonv
#缅甸新闻:17岁中国少女以恋爱为名诱骗男子赴缅甸,男子被困诈骗园区4个月、遭虐打后家人花35万赎回 受害者姐姐介绍,弟弟去年曾在一家娱乐场所认识这名少女。当时她经常穿着暴露的服装,还携带一些看起来像仿冒品的昂贵名牌包。 这名少女还声称,自己的父母是在缅甸从事投资管理工作的,并不断劝说受害者跟她一起前往缅甸工作。 受害者姐姐还表示,弟弟平时很容易陷入感情,并称他是一个“典型的恋爱脑”。 今年2月,受害者没有告知家人,便跟随这名少女前往曼谷。家人只能通过社交媒体得知他的行踪。 然而,事情很快恶化。少女将他带到泰缅边境地区后,声称自己要去接人,随后将他独自留在那里。 不久后,一名持枪男子出现,没收了受害者的手机和护照,并将他带到一个诈骗园区。在那里,他的头发被剃光。 受害者在该诈骗园区被关押了4个月,每天被迫工作16至20个小时,从事诈骗活动。如果无法完成绑匪规定的业绩,他就会遭到金属棍殴打,并被关进一间狭小、漆黑的房…
❤1
#马来西亚新闻 柔佛端掉虚假招聘诈骗团伙 15人认罪被罚5.67万 5名中国男子在列 9月30日,马来西亚柔佛州新山推事庭审理一起虚假招聘诈骗案,15名男子全部认罪,其中包括5名中国男子。 这伙人通过网络发布虚假招聘信息,以根本不存在的工作机会实施诈骗,主要瞄准美国等海外受害者。 相关犯罪活动发生在9月25日,地点位于柔佛州依斯干达公主城努沙再也East Ledang的两个住宅单位。 15名被告年龄从20多岁至40多岁,包括10名马来西亚男子和5名中国男子。 法院最终判处其中9名马来西亚男子每人罚款3500令吉,另外1名马来西亚男子和5名中国男子每人罚款4200令吉,合计罚款5.67万令吉,15人均已缴清罚款。 🔘柬中时报:@cctimes 📢投稿爆料:@qimonv
😀😀😀😀😀😀😀😀#sky娱乐 ☁️sky娱乐 · 信誉保障☁️ 🌈实力不是口说,是长期稳定运营! 🔒正版游戏 · 顶级运营 · 红包超多 💰上亿储备 · 极速出款 · 大额无忧 🔸【sky娱乐·平台优势】 🔸 电子反水无上限 🔸 线上线下同品牌100%包出款 🔸 每日官方频道发送4-6个红包 👉 sky娱乐官方频道: @tkyl 🎁 sky娱乐官方客服: @skyyl444 🧧 sky娱乐红包通知: 点击进群 🚀 快速体验入口: 🤖 sky娱乐机器人: 开始游戏 🌐 sky娱乐官方网站: sky.top 🔥【SKY娱乐 · 见证PP电子全网首个5万倍超级大奖诞生】🔥 💰 超级免游:4U爆20万u 🎯 爆出全网首个 50000倍 🏆 实际到账:20万U 📢 爆奖视频实录: 👉 t.me/tkyl/7902 💰sky娱乐上亿现金储备,只为打造顶级信誉品牌!
#东南亚商家日记:搬了两次店,有些东西比我还执着 柬埔寨没打击那会儿,我在金边开餐馆,生意最火的时候,店里天天满座。那阵子三天两头有人上门送餐具、送遮阳伞,收银台贴纸也是他们帮忙贴的,牙线摞了一抽屉。后来那边严打,人都走光了,店撑不下去,入不敷出索性关了。 再后来听以前认识的朋友说,人流量都跑去吉隆坡了。我咬咬牙,买了张机票过去,想着把炒锅重新烧热。 找店面那几天,跟几个朋友坐一桌吃饭。桌上摆着几摞餐具,我随手拿起一个筷子包装,念出声:“X6宝马会……”朋友抬头看了一眼,笑着说:“哦,这个啊,西港那边多的是,现在吉隆坡也到处都是。你说巧不巧,走到哪都能碰上。” 我的小店在蕉赖开起来。第三天,门口停下辆白色货卡,下来两个人,手上搬着个大箱子,领头的笑着说:“老板,新店啊?我们X6宝马会的,给附近商家送点心意。”我看了下送来的东西 依旧是熟悉的感觉,牙线、餐具、包装袋、打火机等等。 我坐在店里,看着那堆餐具,想起金边倒闭那…
#网友爆料:此人,名韩岳,小白脸,在东南亚干诈骗6年,爱好,赌跟毒 前年吸毒打牌输的没有钱,找我借钱,本不想借他,最后他跪地救我,后面被黏的没脾气,借了他20万美金,借了没多久没跑路,信息一个多月回一次,在行为,让我感到非常不爽,在东南亚的兄弟有看见此人提供此人信息,抓住这斯必有重谢 🔘柬中时报:@cctimes 📢投稿爆料:@qimonv
#小姐姐投稿:给前男友的一封信 林嘉旭,我想了很久,还是想认认真真跟你说一句对不起。当初和你在一起三年多,你把所有的钱都交给我,洗衣服、打扫卫生,所有琐事你都默默扛下来,毫无保留地对我好 可那个时候,身边很多人不停跟我说你不好、说你差劲,加上家人的想法,我被这些声音困住了,分不清别人口中的你,和真实的你。是我糊涂,没有站在你这边,是我逼着你分开,逼着你离开。 后来我从你兄弟口中听说,分开之后你天天喝酒,甚至伤害自己,那时候我还是固执地以为,分开是解脱。等到所有人说你的都停止了,我才慢慢醒悟。旁人说的都不算数,实实在在陪在我身边、一心一意疼我的人,一直都是你。 我才明白,原本可以陪我过完一辈子的人,被我弄丢了,我常常在想,如果当初我坚定一点,选择站在你这边,结局会不会不一样,我知道我伤你很深,我不奢求你马上原谅我,更不敢强求我们立刻回到从前。只是想让你知道,我终于看清了,是我错得离谱 🔘柬中时报:@cctimes 📢投稿…
#老挝新闻:老挝移交78名泰国人,76人涉诈骗等案件,8人因涉案被当场逮捕 10月1日上午10时,老挝博胶省会晒移民部门通过第四泰老友谊大桥,向泰国移交78名泰国人。 据悉,其中76人此前在老挝涉及呼叫中心诈骗、非法务工或非法入境等问题,另有2人涉嫌非法入境。泰国警方接收人员后,立即进行身份核查和案件筛查,暂未发现其中有人属于人口贩运受害者。 警方查询刑事数据库时发现,8人已被泰国法院签发逮捕令,包括4男4女。他们涉嫌网络诈骗、充当“马仔”账户持有人、参与跨国犯罪组织及洗钱等案件。 这8人随后被当场扣押,并移交相关辖区警方进一步追诉。其余人员完成登记后获准返回原籍。 🔘柬中时报:@cctimes 📢投稿爆料:@qimonv
😀😀😀😀😀😀😀😀😀😀 😀 😀😀😀😀😀😀 😀 😀😀😀😀 😀😀😀😀😀😀😀😀😀😀 😀九博官方频道: 👉@JBGJ 😀九博官方开奖: 👉@KJ28 😀九博上下分群: 👉@jiubovip 😀九博国际主营: ⚡️😀😀😀 ⚡️ 😀😀⚡️😀😀⚡️😀😀⚡️😀😀⚡️😀😀❤️😀😀 加拿大PC 2.0 / 2.8、网盘、满赔等多种玩法! 单注限红 😀😀W!单期最高赔付高达 😀😀W ! 玩法超乎想象,赔付打破上限,有胆你就来,下注即巅峰! ♾ PC 2.0 【实时反水1万反250】 ♾ PC 2.8 【超高赔率6.4倍】 ♾网盘pc【和值13/14正常结算】 ♾ 满赔 PC 【组合赔率高达4.73倍】 ♾ 满赔网盘pc【13/14正常赔付】 😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 🏦钱包验资: @kpay 💁♀️官方客服: @J111~@J888 💁♀️官方财务: @j444~@j666
#网友求助:王棋 男 33岁,上海音乐学院全职音乐老师。 9月24日下班后,他驾车前往浦东国际机场,将车辆停在机场停车库,随后独自乘坐春秋航空 9C8755 航班前往泰国曼谷素万那普机场。9月25日傍晚起失联,至今下落不明。 警方初步判断其疑似被骗出境,存在遭遇人口贩运的风险。家属已第一时间报警,并联系外交部12308及中国驻泰国使馆求助,相关报案及求助记录均已留存。 家中仅有年迈母亲,母子相依为命。家属万分焦急,恳请大家帮忙转发扩散,如有任何线索,请及时联系家属或警方。 🙏 只求他平安回家,早日回到母亲身边。 🔘柬中时报:@cctimes 📢投稿爆料:@qimonv
Showing the 12 most recent of 1,187 posts we hold for @cctimes_channel. 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.
@cctimes · 418989 postssky娱乐机器人 @tkyx
@sky8app_bot · 42,61249 postssky娱乐 @TKYL
@tkyl · 6,82849 postssky娱乐红包通知群 @TKYX
@tkyl2026 · 5,97949 posts九博国际 · 公群导航
@jbgj · 17,25048 posts🏆九博国际@JBGJ🏆上下分群 总押900万美金
@jiubovip · 8,71948 posts一元云购 · VIP交流群
@yyygjlq · 3,0093 posts一元云购 · 官方导航
@yyygpd · 4,0613 posts华人大事件
@dashijian · 206,1391 post缅北园区吃瓜
@yuanqubot · 16,5861 post
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.
Appears in Telegram’s recommendations for other channels
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.
@xinwen1 · 104,937
Telegram ranks this channel #10 of 70 here — alongside 69 others — read 18 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 30 September 2026 — this entry's latest reading, not the date you are reading this.
“柬中时报|柬埔寨新闻” (@cctimes_channel), 34,226 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/cctimes_channel.
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.