西港突查!7名中国人被抓,现场查获近1吨DU品和一批军火 9月23日,柬埔寨水警边防部门在西哈努克省竹岛(Koh Russey)一带展开行动,打击DU品和非法武器交易。 行动中,警方抓获7名中国籍人员,并查获车辆等作案工具、近1吨DU品以及多支长短枪械。 😍免费投稿/爆料 :@baoyou600bot

Channel
柬埔寨大事件
@i55555p
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
45,919subscribers
-2,993 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 | -1001512276271 |
|---|---|
| Type | Channel |
| Username | @i55555p |
| Description | #大事件 #柬埔寨 #东南亚 #金边 #西港 专注于柬埔寨 金边 西港 华人最新动态咨询,悬赏通缉,揭露事实,曝光真相! 📱 投稿爆料: @baoyou600bot |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/i55555p |
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 92% 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 |
|---|---|---|
| 18 Sept 2026, 15:41 | 45,919 | -357 |
| 16 Sept 2026, 07:17 | 46,276 | -341 |
| 14 Sept 2026, 13:38 | 46,617 | -305 |
| 13 Sept 2026, 00:57 | 46,922 | +1,763 |
| 11 Sept 2026, 04:41 | 45,159 | -692 |
| 8 Sept 2026, 05:01 | 45,851 | -481 |
| 4 Sept 2026, 23:56 | 46,332 | +1,553 |
| 3 Sept 2026, 10:03 | 44,779 | -228 |
| 2 Sept 2026, 01:14 | 45,007 | -154 |
| 31 Aug 2026, 22:04 | 45,161 | -82 |
| 30 Aug 2026, 18:54 | 45,243 | -267 |
| 29 Aug 2026, 15:14 | 45,510 | -180 |
| 28 Aug 2026, 16:48 | 45,690 | -299 |
| 27 Aug 2026, 13:55 | 45,989 | -117 |
| 26 Aug 2026, 16:24 | 46,106 | -206 |
| 25 Aug 2026, 12:58 | 46,312 | -198 |
| 24 Aug 2026, 14:03 | 46,510 | -695 |
| 22 Aug 2026, 19:44 | 47,205 | +1,019 |
| 21 Aug 2026, 07:43 | 46,186 | +10 |
| 20 Aug 2026, 08:26 | 46,176 | first reading |
Engagement
565 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 96 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 0.915%
- avg views ÷ 45,919 subscribers
- Avg views / post
- 420
- 343 posts measured
- Reaction rate
- 6.90%
- reactions ÷ views · ER floor
- Posts in window
- 343
- of 565 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 2 of 343 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 23 September 2026 |
|---|---|
| Posts held | 565 (7 August 2026 – 23 September 2026) |
| Views total | 144,103 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 23 Sept 2026, 19:47 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
- ≈27,700
- Videos
- ≈6,900
- Links
- ≈1,280
Lifetime counters from Telegram’s own channel header, read 23 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
- 2h 19m
- Average length
- 25s
Measured directly from 335 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
4 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 75.0% | |
| 🔥 | 1 | 25.0% |
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 5 of the 565 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 4 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 565 most recent posts we hold, published 7 August 2026 to 23 September 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
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一秒“换脸”!柬警方现场演示电诈团伙AI换脸设备 9月22日,柬埔寨警方邀请国内外媒体前往金边市警察局,展示此前打击网络诈骗行动中查获的设备,并现场演示诈骗团伙使用的AI实时换脸技术。 从现场视频可以看到,电脑连接摄像头后,通过AI实时换脸(Real-time AI Face)软件,可以将镜头中的人脸实时替换成另一张面孔,并随着人物动作同步变化。警方介绍,这类技术被诈骗团伙用于网络诈骗。 现场还摆放了大批查获的涉案设备,包括2.99万部手机、数千台电脑和显示器,以及大量外国SIM卡。 警方还展示了仿冒中国公安、日本警察以及美国FBI、CIA等机构的制服、徽章和证件,其中包括假冒中国厦门警方的证件。 😍免费投稿/爆料 :@baoyou600bot
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柬埔寨警方与美国FBI联合成功清剿50个网诈窝点 昨天,柬埔寨内政部副发言人杜苏克透露,基于双方签署的合作谅解备忘录,柬埔寨国家警察总署与美国联邦调查局(FBI)联合开展了12起案件的调查工作。调查内容涵盖加密货币账户、IP地址追踪及涉案车辆排查等,相关调查结果均已向美方反馈。 在打击电诈领域,柬方根据FBI提供的线索,成功对分布于奥多棉芷、卜迭棉芷、干拉、柴桢、贡布、特本克蒙及西港等7个省份的50个网诈窝点实施了清剿行动。 此前,FBI局长在与柬埔寨总理洪玛奈会面时,对柬方打击网诈犯罪的坚定决心与透明度给予高度评价。美方表示,双方的务实合作取得了显着成效。柬方则表示,将继续本着公开透明与负责任的态度,深化国际执法合作。 😍免费投稿/爆料 :@baoyou600bot
🇵🇰 NCCIA捣毁伊斯兰堡三处电诈窝点 抓获212名嫌疑人(含7名中国籍) 巴媒9月22日报道,巴基斯坦国家网络犯罪调查局(NCCIA)在过去24小时内,针对首都伊斯兰堡非法呼叫中心开展专项突击行动,一举打掉三处藏匿于居民区的诈骗窝点,共拘留涉案人员212名。 据巴基斯坦联合通讯社(APP)消息,执法部门对伊斯兰堡E‑11、G‑10片区三处窝点实施搜查。被拘留人员涵盖中国、巴基斯坦籍男女,其中中国籍人员7名。 行动现场查获大量作案工具,包括手机306部、电脑及处理器383台、显示器和笔记本电脑299台。 经初步核查,上述被抓获人员涉嫌实施多类跨国网络诈骗。作案方式包括谷歌相关诈骗、贷款类诈骗、交友杀猪盘,通过伪造社交账号、编造发布虚假投资信息,诱骗境外人员上当。 初步调查线索显示,上述诈骗活动背后的犯罪网络疑似与印度、巴西存在关联。 由于此次被拘留人数众多,涉事呼叫中心场地被临时用作拘留分所,以开展后续法律处置工作…
🇲🇲 佤邦司法委向中方移交64名跨境涉诈涉案人员 9月22日,佤邦司法委联合中方执法部门,在云南普洱孟连勐啊口岸开展跨境涉案人员移交工作,依法向中方移交64名跨境涉诈、涉案人员。 本次移交人员包含63名涉诈犯罪嫌疑人、1名涉案嫌疑人。双方现场完成人员身份、法律文书、案件证据核验工作,同步移交全部涉案作案工具,全程交接规范高效。 据悉,该批涉诈回流人员由其他境外地区流窜至佤邦,妄图继续从事电信网络诈骗活动。佤邦司法委依托自主情报网络和日常巡查机制,逐步掌握该批涉诈回流人员所藏匿窝点的线索,并锁定相关涉诈隐蔽窝点。经过侦查和周密部署,执法人员对犯罪窝点实施突击抓捕,成功捣毁数个涉诈窝点,共抓获63名中国籍涉诈人员,现场查获一批作案工具。 此次行动有效震慑跨境电诈犯罪,充分体现中佤跨境警务协作的高效性。双方将持续深化联合打击、情报互通工作,高压整治各类跨境违法犯罪,稳固边境安全秩序。 😍免费投稿/爆料 :@baoyou600
iPhone 18 Pro刚开卖就频繁死机重启,有用户24小时内重启5次 iPhone 18 Pro和iPhone 18 Pro Max于9月18日正式开售,开卖仅几天,韩国、美国等地已经有多名用户反映新机突然卡死、自动关机重启,系统日志还出现“panic-full”错误。 不少问题集中在Face ID。部分用户打开受保护的照片、手机银行等应用时,Face ID识别失败后,手机会直接卡住,随后自动关机重启。 美国一名iPhone 18 Pro Max用户表示,新机买来不到24小时,Face ID触发重启3次,打开苹果钱包时又重启1次。还有用户反映,一天内已经死机重启约5次。 9月21日,科技媒体9to5Mac实测复现了类似问题。测试中,Face ID识别失败后再次尝试解锁,手机很快失去响应并自动重启。 也有用户在刷视频、听音乐、使用苹果钱包甚至停留在主屏幕时突然死机重启,说明问题不只出现在Face ID使用过程中。 …
Showing the 12 most recent of 565 posts we hold for @i55555p. 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.
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@jbzhaoshang · 4,98325 posts🔥辉煌娱乐城-93.cc-超高返水1.6%起🔥官方频道
@hhylc8888 · 2,07724 posts新全迅网
@xinquanxunwang · 3,64223 postsTG娱乐城-官方招商
@TGYLCzhaoshang · 1,48522 posts🔥KK娱乐城-18.vip-🔥官方招商
@kkyl5000 · 2,16116 posts8K国际官方
@PG8K8K · 3,87114 posts2G官方频道
@GF2Gcom · 5210 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨大事件” (@i55555p), 45,919 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/i55555p.
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.