近期出门的兄弟都顺利吗? #网友投稿:我兄弟从上海出来被卡关了,手机被海关拿走十多分钟也不知道拿去干嘛了,后面安排走广州那边凌晨5点的机票,走的自助也有人被拦下来,七八个自助通道,两边站了十多个警察,有没有近期出来的,说说情况。 🔘柬中时报:@cctimes 📢投稿爆料:@xiaohou

Channel
柬中时报|柬埔寨新闻
@cctimes_channel
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
26,355subscribers
-1,212 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
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 | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/cctimes_channel |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 19:19 | 26,355 | -142 |
| 14 Aug 2026, 09:45 | 26,497 | -191 |
| 13 Aug 2026, 04:35 | 26,688 | -52 |
| 12 Aug 2026, 07:12 | 26,740 | -86 |
| 11 Aug 2026, 09:45 | 26,826 | -198 |
| 10 Aug 2026, 10:05 | 27,024 | -200 |
| 9 Aug 2026, 09:52 | 27,224 | -152 |
| 8 Aug 2026, 08:23 | 27,376 | -191 |
| 7 Aug 2026, 12:45 | 27,567 | no change |
| 7 Aug 2026, 12:38 | 27,567 | first reading |
Engagement
250 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 23 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 26.6%
- avg views ÷ 26,355 subscribers
- Avg views / post
- 7,020
- 240 posts measured
- Reaction rate
- 0.008%
- reactions ÷ views · ER floor
- Posts in window
- 250
- of 250 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 10 of 240 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 250 (7 August 2026 – 16 August 2026) |
| Views total | 1,684,032 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 17:21 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
- ≈26,900
- Videos
- ≈6,530
- Links
- ≈18,400
Lifetime counters from Telegram’s own channel header, read 16 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
- 51m 01s
- Average length
- 49s
Measured directly from 63 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
5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 80.0% | |
| 👍 | 1 | 20.0% |
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 10 of the 250 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 250 most recent posts we hold, published 7 August 2026 to 16 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
#网友爆料:专靠博取同情、利用信任坑骗身边人的失信人员 #占浩 特此公开曝光一名长期混迹夜场、专骗熟人、品行极差的失信人员! 此人长期出入各大KTV、娱乐包厢、夜场场所,混迹社交圈子专门盯着身边熟人下手。日常社交中,极其擅长伪装弱势、装可怜、卖惨博同情,精准拿捏身边朋友心软、重情义的心理,长期靠演技骗取他人信任。 在包厢娱乐、氛围放松、众人防备心降低的情况下,此人频繁开口借钱、找朋友垫资,利用多年积累的熟人信任肆意坑蒙拐骗。一贯作风就是只借不还、只蹭不付,常年骗吃骗喝,将身边好友当成长期免费提款机、供养人。 除此之外,该人员混迹各大夜场娱乐场所,多次搭讪、邀约女性,消费全程白嫖,事后拒不结账、不付对应费用,毫无担当与底线,行为极度恶劣。 此人深谙人心,懂得示弱卖惨博取他人善意,人前一套、背后一套,利用朋友的善良和信任肆意消耗情义、谋取私利。所有善意和帮助,最终都成为他无偿白嫖、骗财骗吃喝的工具。 在此郑重提醒所有圈内…
#香港新闻 64岁退休女商人放租遇上“假租客”,1000万港元加密货币被一锅端 香港警方8月14日披露,一名64岁退休女商人今年5月在Facebook发布物业出租信息后,收到一名自称有意租房者通过WhatsApp发来的消息。双方后来没有签成租约,但对方并没有就此消失,而是继续与女子聊天,逐渐取得她的信任。 在建立关系后,对方开始把话题转向加密货币投资,自称熟悉相关投资操作,并一步步指导女子设置加密货币钱包。 按照对方的指示,女子随后陆续用约1000万港元购买加密货币。期间,对方取得了她的加密货币钱包资料和密码。 等女子再次查看钱包时,才发现里面价值约1000万港元的加密货币已经全部被转走。她这才意识到,所谓有意租房的人从一开始就是冲着她的钱而来。 这场骗局从“租房咨询”开始,最后却变成加密货币投资陷阱。女子最终损失约1000万港元。 🔘柬中时报:@cctimes 📢投稿爆料:@xiaohou
#巴基斯坦 品第大楼在开始谈判了 要是失败了估计今晚就要集体造反了 🔘柬中时报:@cctimes 📢投稿爆料:@xiaohou
柬中时报|柬埔寨新闻 pinned a photo
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#马来西亚新闻:现在绑架不一定先把人拖上车,可能先从😄Telegram、微信陪你聊天 72岁新加坡老翁与33岁女子被骗到外州,最后竟一起困在吉打!最让人背脊发凉的,不是“绑架”两个字,而是受害者一开始根本不知道,手机另一头正在等他的,可能不是朋友、工作机会或一趟旅行,而是一场早就设计好的局。 警方近日侦破一宗跨州绑架案,一名72岁新加坡男子和一名33岁中国女子,彼此原本完全不认识,却先后被不同方式引到马来西亚其他州属,最终被关在同一个地点。两人直到8月7日,才在吉打亚罗士打获救。 其中,新加坡老翁在7月26日离家,原本准备前往槟城,之后突然失联。直到8月4日,他才向家人传出语音讯息,表示自己遭人囚禁,对方更开出高达S$100万、约RM310万的赎金要求。 警方透露,家属在救人前已经支付了部分赎金。 另一名33岁女子的经历,则更像很多人平时最容易放下戒心的“网友邀约”。她据称先是在微信认识一名外籍女子,对方邀请她到槟城见…
#网友投稿:他妈的也是够操蛋的,“金边移民局”和我关在一起的一个妹子,我一直以为她是女的,结果是个人妖,胸做了下面没做! Ps:资金链断了吗?😂 🔘柬中时报:@cctimes 📢投稿爆料:@xiaohou
#群友投稿:致敬!为东南亚外出打工的人员感到不值。 图上聊天内容为热心网友提供。受害者男主:福建泉州安溪县感德镇霞村人(汪鹏南);女主:福建省泉州市安溪县剑斗镇人士(吴碧英)。国内目前居住:福建泉州安溪县参内镇隆恩华城6号楼。 前几天跟一个比较爱装的朋友喝酒,两杯啤酒下肚,讲诉了他的偷家故事,下面把三号主人公名为“蔡总”! 故事发生于2022年底。蔡总于一场朋友邀请聚会上认识吴碧英,恰逢汪鹏南(汪总)偷渡出国至柬埔寨中国城凯博一期做国内精聊诈骗。 汪总本在国内已经六合彩、打麻将,欠了不少钱,也是无力偿还。本想自己偷渡出去,能摇身一变成为新一代“诈总”,奈何生不逢时、天生缺陷、能力很差,无法成为自己理想型的男人。 吴碧英女士经朋友介绍,一起去吃大排档喝酒的时候,偶然跟蔡总认识。一看蔡总一表人才,再怎么不济也比她现在的老公汪鹏南高出半个头。想想她那死鬼老公1米58的身高,于是假装喝了4杯啤酒下肚就晕了,让蔡总叫代驾一起送她…
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#国内新闻: 山东反诈“三年行动”收官!电诈立案数、损失数同比分别下降37.5%、43%📄 8月14日,山东省政府新闻办召开新闻发布会,通报全省打击治理电信网络诈骗、筑牢全社会反诈防线相关工作情况。省公安厅副厅长、一级巡视员戚思宇介绍,今年以来,全省电信网络诈骗立案数、群众财产损失数同比分别下降37.5%、43%,“双下降”治理成效持续巩固。 戚思宇指出,电信网络诈骗跨国有组织犯罪特征显著,属于全球性治理难题。山东各地各部门坚持以打促防、以防促治、以治固本,扎实推进打击治理电信网络诈骗“三年行动”收官各项工作。 在犯罪打击上,山东落实全国联动打击电诈犯罪新机制,今年共抓获电诈及关联犯罪嫌疑人1.96万名,同比上升26.2%,线索总打处率、刑事打处率位居全国前列。 全省开展为期三个月的黑灰产集中会战,打掉涉诈黑灰产团伙359个,抓获嫌疑人3795名。其中,潍坊公安斩断一条借助网贷、二手交易平台转移涉诈资金的黑灰产业链,跨1…
#网友提醒:在西港的同胞,现在的嘟嘟车司机也是真的多坏心思,本来多一事不如少一事,但是已经是在我身上第🀄️次发生了,我想有必要提醒一下同胞们。 事情经过:昨晚凌晨我打嘟嘟车定位到万达,然后车开过了万达,他还不停车,我提醒了不下于5遍,掉头掉头,万达万达,没想到他一直拧油门不减速,一直装傻一直说去红灯笼,红灯笼,最后过了双师转盘他还在一直加大油门,我有点生气了就把嘟嘟车后面的车门拔开,指着嘟嘟车司机,很大声的说掉头万达,他才愿意掉头,然后我叫他停车我走了。 如果态度不强硬肯定不知道被拉到哪里去。 🔘柬中时报:@cctimes 📢投稿爆料:@xiaohou
Showing the 12 most recent of 250 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“柬中时报|柬埔寨新闻” (@cctimes_channel), 26,355 subscribers as measured 15 August 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.