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Channel
柬埔寨黑暗事件
@hajpz88
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
45,841subscribers
+21,437 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002670079645 |
|---|---|
| Type | Channel |
| Username | @hajpz88 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 「柬埔寨黑暗事件」带你揭秘东南亚大小事,曝光悬赏通缉,仅此一个频道,其他均为盗版!请注意识别,不私信任何人,防止被诈骗或敲诈勒索! 防失联导航: @hasj_DNY 投稿爆料澄清: @molu178 双向投稿机器人: @heianshijian_bot |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/hajpz88 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 10:55 | 45,841 | -247 |
| 15 Aug 2026, 18:18 | 46,088 | -55 |
| 14 Aug 2026, 10:36 | 46,143 | -490 |
| 13 Aug 2026, 02:34 | 46,633 | -324 |
| 12 Aug 2026, 05:28 | 46,957 | -46 |
| 11 Aug 2026, 07:43 | 47,003 | +14,543 |
| 10 Aug 2026, 09:46 | 32,460 | +8,194 |
| 9 Aug 2026, 09:11 | 24,266 | -138 |
| 8 Aug 2026, 09:00 | 24,404 | first reading |
Engagement
203 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 21 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.24%
- avg views ÷ 45,841 subscribers
- Avg views / post
- 568
- 203 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 203
- of 203 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.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 203 (7 August 2026 – 17 August 2026) |
| Views total | 115,287 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 17 Aug 2026, 11:47 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
- ≈22,600
- Videos
- ≈5,290
- Links
- ≈1,280
Lifetime counters from Telegram’s own channel header, read 17 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
- 38m 35s
- Average length
- 37s
Measured directly from 62 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.
Recent posts
#七星海突袭电诈公司后续视频 收手吧~~阿祖~外面已经被警察包围了 此前抓捕视频 t.me/svip/74385 目测此次行动最少抓了50号人左右 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai
西港半年抓650名涉DU人员,其中90名中国人 据西港宪兵8月17日通报,今年上半年共侦破98起DU品案件,抓获650名涉案人员,其中包括533名柬埔寨人、90名中国人、18名越南人,以及印尼、马来西亚、印度、尼泊尔、法国和缅甸籍人员。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai
#七星海又开始抓人了 这哥们很淡定 先把烟点上再说 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai
#突发事件:七星海又开始抓人了 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai
#紧急求助——立即营救所有被困人员! 地点: 缅甸妙瓦底(Myawaddy)莫艾河(Moei River)沿岸 Koe Ma Nee(科马尼)地区 区域: 缅甸—泰国边境的网络诈骗园区 根据人道贩运受害者援助民间社会网络(Civil Society Network for Human Trafficking Victim Assistance)的报告,目前缅甸—泰国边境诈骗园区内据报仍有超过13,670人被困。 报告称,约有8,370人被困在BGF/KNA控制区域,其中约5,000人在Hpalu、3,000人在Shikaya Pier附近、300人在Aung Taw Mu Pagoda附近的丛林营地。另有约5,300人据报被困在DKBA控制的地区。 Koe Ma Nee / 莫艾河沿岸地区: 据报部分公司已经转移到其他地点,但仍有一些公司继续运营。被困人员据报仍受到强迫工作和持续施压,部分人员据报至今没有拿到工资。 其…
#群友投稿:柬埔寨金边3号安置点,滞留三个月迟迟不遣返,什么时候能给一个明确的说法? 本人目前在柬埔寨金边3号安置点,已经滞留整整三个月。这边有太多的都是3个月以上都没回国的人!希望祖国早点处理我们的事情,远在海外的安置点!! 当初是在酒店被带走,之后被安排到安置点。三个月过去了,到现在最想知道的仍然是:为什么迟迟不能遣返?目前到底办理到哪一步?还需要多久?有没有明确的时间安排?我们并不是要求特殊待遇,只希望相关部门能够把最基本的遣返流程和进度讲清楚。 现在最迫切的不是一句“等通知”,而是一个明确的流程和答复:目前身份核查是否已经完成?相关证件、材料是否已经齐全?如果不齐,到底缺什么?中国方面是否已经确认接收?目前卡在哪个环节?遣返手续是否已经提交?目前由哪个部门负责?如果需要集中包机遣返,下一批次大概是什么时候?如果暂时无法遣返,具体原因是什么?预计还需要等待多久?对已经滞留三个月甚至更久的人员,能否给出明确的处理时间表…
#老挝资讯:今年已打击逮捕超5000名网络犯罪嫌疑人 据相关消息,2026年以来,老挝当局持续加大对网络诈骗、电话诈骗及网络赌博等违法犯罪活动的打击力度。截至目前,全国累计已有超过5000名网络犯罪嫌疑人被查处,其中包括诈骗人员、电话诈骗人员以及涉网络赌博人员。 据悉,今年1月至7月期间,老挝各地执法部门持续开展针对网络犯罪团伙的突击行动,共拘留近4500人,涉案人员来自中国、泰国、越南、马来西亚、巴西及老挝等多个国家。 其中,7月在班东坡西(Ban Dong Pho Si)开展的一次大规模行动中,警方捣毁一个涉嫌从事网络诈骗和网络赌博活动的团伙,共逮捕589人,其中包括373名泰国人、199名老挝人、15名越南人以及2名柬埔寨人。同时,执法人员现场查获超过1万台电脑及手机等电子设备。 进入8月初,老挝警方又在塔銮经济特区展开行动,对当地一家赌场及涉嫌从事网络赌博活动的场所进行搜查,共拘留261人,涉及7个不同国籍。其中…
#补充视频:8月17日凌晨,柬埔寨金边市丹哥区PZ监狱内发生越狱未遂事件。一群中国籍公民试图越狱,并与狱警发生枪战,现场一度陷入混乱。 此前文章: t.me/svip/74338 据称,期间还有100多名其他囚犯试图趁乱逃离监狱,但最终均未能成功,随后被狱警控制并抓回。目前,事件的具体起因、人员伤亡情况以及现场处置情况仍有待进一步确认。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai
西港海域一渔船煤气罐爆炸沉没 致1死2伤2失踪 今天上午,西港省斯登豪县附近海域(距高龙岛西北约1,700米海域)发生渔船煤气罐爆炸引发火灾并沉没事故。 据柬媒报道,船上共5人,事故导致船主萨克林(54岁)不幸身亡,2名船员获救,另有2人失踪(萨勒、金森博)。 目前,水警部队联合国家海上安全委员会前线指挥部及狄维杰公爵的GTVC公司正在事发海域全力搜救失踪人员。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai
#群友投稿:马来西亚普吉岛邦古拉街扶手大战人妖,高跟鞋都甩的飞起,拦都拦不住。都是卖逼的,不应该互相为难。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai
#马来西亚资讯: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另…
Showing the 12 most recent of 203 posts we hold for @hajpz88. 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.
Citation-graph rank
Citation-graph rank — 931,370 of 1,481,502entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨黑暗事件” (@hajpz88), 45,841 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/hajpz88.
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.