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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
635 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 110 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.01%
- avg views ÷ 45,919 subscribers
- Avg views / post
- 462
- 340 posts measured
- Reaction rate
- 6.90%
- reactions ÷ views · ER floor
- Posts in window
- 340
- of 635 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 340 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 September 2026 |
|---|---|
| Posts held | 635 (7 August 2026 – 30 September 2026) |
| Views total | 157,163 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 30 Sept 2026, 20:58 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
- ≈5,930
- Links
- ≈152
Lifetime counters from Telegram’s own channel header, read 30 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 30m
- Average length
- 24s
Measured directly from 372 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 635 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 635 most recent posts we hold, published 7 August 2026 to 30 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
金边森速区今天继续扫楼 未发现电诈犯罪 今天,金边市森速区统一指挥部对辖区内10处外籍人员居住点展开行政排查。经核查,现场仅登记在册2名中国籍人员。 警方确认,上述人员持合法有效护照及居住签证,现场未发现网络技术诈骗犯罪行为。 扫了一天,就发现2个在册中国人 都走鸟,都走鸟~~ 😍免费投稿/爆料 :@baoyou600bot
🎬本地网友拍摄西港近期的街景,现在大街上连中国人的影子都看不到了,海边也是显得特别的冷清,不少大楼都被空置了。 😍免费投稿/爆料 :@baoyou600bot
金边第三乔姆乔区9处疑似网络赌博点,被指突查后仍继续运营 据当地居民反映,金边市波森芷区第三乔姆乔分区普莱塔第一村一带,尤其是当地俗称“蒙中国(ម៉ុងចិន)”的区域内,约有9处被怀疑从事网络赌博活动的场所,据称目前仍在持续运营,白天和夜间均有人进出。 据消息人士称,上述场所此前曾于2026年9月20日遭有关部门开展打击行动,但近日又被反映疑似恢复相关活动,目前尚未看到明确停止的迹象。 当地居民进一步表示,部分被怀疑涉及网络赌博的场所疑似长期有人进出。不过,目前有关赌博的具体类型、参与人数,以及背后实际运营人员等信息,尚无法独立核实。 部分居民呼吁,当地政府及有关执法部门对相关地点进行实地检查,如经查实存在未经许可经营赌博或其他违法活动,应依法采取相应措施。 同时,也有居民希望有关部门进一步说明,9月20日开展突查行动后采取了哪些后续措施,以及为何相关场所被指仍出现疑似网络赌博活动。 需要说明的是,目前上述信息主要…
高端楼盘成缅北电诈分子新据点:带水上乐园 位于缅甸妙瓦底水沟谷地区(Shwe Kokko)亚太城5号名为“雍景台”的高端楼盘,已成为从众多被端掉的电诈园区逃离的从业者的最新盘踞地,目前涉电诈人员至少1500人。 该楼盘临水而建,主打“高端”与“奢华”,拥有楼栋超20栋,内设水上世界、羽毛球场、人造沙滩、星空营地、卡丁车场等娱乐设施,项目占地300余亩。 知情人告诉红星新闻,这个所谓的“雍景台小镇”,最初是由电诈头目佘智江旗下的亚太集团建设,原本是一个正常营业的高端写字楼和游乐园。在打击电诈工作开展以来,电诈分子逃窜至此处,租用写字楼继续搞电诈。 虽然雍景台外表看起来很高端,但内部仍旧是高墙铁窗,与此前的电诈园区没有区别。 消息人士透露:“简单来讲,这个雍景台小镇本是一个水上乐园加写字楼的项目。现在里面的写字楼被各种电诈公司租用,可以说实际上成了一个大型电诈园区。” 😍免费投稿/爆料 :@baoyou600bot
马来西亚抓捕13名日本及中国籍男女,涉在金宝设诈骗中心 冒充日本警察行骗 13名日本籍及中国籍男女涉嫌在霹雳州金宝一间公寓设立电话诈骗中心,冒充日本警察诈骗日本民众,警方根据情报展开突击行动,将所有嫌犯逮捕。 霹雳州总警长莫哈末阿尔威指出,落网者年龄介于20岁至57岁,包括7名日本籍男子、2名日本籍女子及4名中国籍男子。 他说,初步调查显示,嫌犯相信是按照诈骗所得金额领取佣金。部分嫌犯过去曾在柬埔寨从事类似活动,之后持旅游签证入境马来西亚。 案件仍在调查中。 😍免费投稿/爆料 :@baoyou600bot
一越南男子诈骗柬埔寨人20万美元被抓 据柬埔寨自媒体博主彭万纳报道,金边市铁桥头区警方已抓获一名涉嫌诈骗柬埔寨公民逾20万美元的46岁越南籍男嫌疑人 TRAN THUYET THANH。 目前,警方已立案并将嫌疑人移送金边市初级法院检察署依法审理。 报道说,警方似乎对此案隐瞒回避,不敢公开该越南籍诈骗犯的照片,据称幕后有势力正在积极游说走关系以帮助该嫌疑人脱罪。 😍免费投稿/爆料 :@baoyou600bot
柬反贪局揭露“杀猪盘”电诈套路 涉案金额最高逾20万美元 柬埔寨反贪局(ACU)主席翁仁典昨天揭露了针对2026年4月1日在金边逮捕的22名电诈嫌疑人电子设备取证结果,公布该团伙的四阶段“加密货币投资”诈骗套路: 建联取信:假冒富豪账号在社交平台筛选目标并引导跟单; 小额试水:诱导受害人投入约500美元并操控后台显示“获利”; 追加重仓:诱骗受害人不断加大投入,有受害人累计投入超20万美元; 索要“税款”后拉黑:以提现需缴纳约10%“税款”为由二次套牢,收费后随即拉黑吞款。 反贪局也在补齐反诈知识短板了~~ 😍免费投稿/爆料 :@baoyou600bot
柬埔寨一宪兵司令被人砍成重伤 昨天,柏威夏省库伦县宪兵司令陈西少校在其住宅后院凉亭吊床上休息时,突遭一名男子持刀残忍砍击,导致头部严重受伤。事发后,受害者已被紧急送往暹粒省医院接受救治。 凶手系同村37岁农夫梁维斯纳,已被当地警方当场抓获并带回县警察局。初步调查显示,案发原因系个人恩怨。目前案件正在进一步依法审理中。 😍免费投稿/爆料 :@baoyou600bot
柬老越三国军队集结!17天联合救灾演习即将启动 9月28日上午,柬埔寨王家军副总司令兼宪兵司令邵速卡在金边特种部队司令部慰问即将赴越南参加三国联合救灾演习的柬方参训人员,并代表相关领导向全体官兵转达关心与慰问。 此次演习主题为“2026年越南、老挝、柬埔寨三国军队保护平民训练演习”,将在越南河内举行,具体地点设于越南人民军工程司令部第249工程旅。柬方此次共有约80名官兵参加。 演习计划于9月29日正式开始,持续至10月15日,共17天。训练内容主要围绕自然灾害及突发事件应急响应展开,旨在提升三国军队参与救灾、保护平民和协同处置突发事件的能力。 柬埔寨方面表示,此次联合训练也是三国加强防灾减灾合作的重要平台。参训人员将通过联合训练交流专业知识和技术,进一步提升应急救援协作能力,同时增进柬、老、越三国军队之间的交流与友谊。 邵速卡表示,柬埔寨王家军此前已参加过类似三方救灾演习,并希望此次参训官兵严格遵守演习指挥体系及越南…
金边排水沟发现一具男尸 9月28日下午5点左右,金边万景岗区有民众发现一具男尸漂浮在排水沟中。警方赶到后突遇大雨,尸体被水流冲走,警方一路追至桑园区万禾密分区105号路与432号路交界处,才将尸体打捞上岸。 死者为男性,年龄约50多岁,目前身份尚未确认。遗体已送往柬苏友谊医院暂存,警方正寻找死者家属,并等待法医进一步确认死因。 😍免费投稿/爆料 :@baoyou600bot
#网友投稿:金三角特区“壹号公馆”刚刚治安局又来抓人了,一期四栋楼下,抓走了一个中国人。 目前现场还有很多警察在,估计行动还没有结束。今天是第四天,壹号连续查了四天了,真是不让人活了! 昨天壹号公馆二期也抓走了10多个人,听说还抓了一个盘总。 😍免费投稿/爆料 :@baoyou600bot
Showing the 12 most recent of 635 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.
@xihuzs · 4,92734 postsPG娱乐 92.cc 官方频道
@pgyx8_com · 2,33432 postsbolai.com铂莱世界杯冠名
@blzhaoshang · 5,04927 posts🔥辉煌娱乐城-93.cc-超高返水1.6%起🔥官方频道
@hhylc8888 · 1,74927 posts🔥金贝娱乐场-jinbei.com-【官方招商】🔥
@jbzhaoshang · 4,98027 posts新全迅网
@xinquanxunwang · 4,30427 postsTG娱乐城-官方招商
@TGYLCzhaoshang · 1,33325 posts🔥KK娱乐城-18.vip-🔥官方招商
@kkyl5000 · 1,80219 posts8K国际官方
@PG8K8K · 3,73814 posts2G官方频道
@GF2Gcom · 63213 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.