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Telegram profile photo for 柬埔寨大事件曝光『西港黑料』

Channel

柬埔寨大事件曝光『西港黑料』

@ukevjiv6

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

24,716subscribers

-10,876 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-1001965762989
TypeChannel
Username@ukevjiv6
Description专注东南亚最新新闻资讯! ⚠️声明:新闻内容来源于互联网,未作真伪考究,仅供参考。本频道不站任何立场、不作任何评论,仅供分享!!! 💵投稿商务合作: @wwish996
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/ukevjiv6

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 57% 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 6 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dddyyy3332/40027 Aug 2026, 10:13 UTC@ukevjiv6/12119 · this entry8 Aug 2026, 03:29 UTC1.0017 hours
@dddyyy3332/424212 Aug 2026, 09:16 UTC@ukevjiv6/12240 · this entry16 Aug 2026, 13:07 UTC1.004 days
@ukevjiv6/12442 · this entry30 Aug 2026, 09:16 UTC@dddyyy3332/498430 Aug 2026, 11:45 UTC1.002.5 hours
@dddyyy3332/60242 Oct 2026, 01:59 UTC@ukevjiv6/12869 · this entry3 Oct 2026, 13:21 UTC1.0035 hours
@dddyyy3332/70692 Nov 2026, 12:13 UTC@ukevjiv6/13230 · this entry5 Nov 2026, 12:48 UTC1.003 days
@dddyyy3332/72698 Nov 2026, 11:53 UTC@ukevjiv6/13270 · this entry9 Nov 2026, 09:10 UTC1.0021 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@dddyyy333226 (7/8 hand-verifiable sample passed)1.0032 hours@dddyyy3332 (23–3)
@mlxy121823 (7/8 hand-verifiable sample passed)0.9820 hours@mlxy1218 (21–2)
@hongyunlin121 (8/8 hand-verifiable sample passed)1.0017 hours@hongyunlin1 (20–1)
@xiangshang556217 (7/8 hand-verifiable sample passed)1.0030 hours@xiangshang5562 (14–3)
@shenqing88216 (7/8 hand-verifiable sample passed)0.9819 hours@shenqing882 (11–5)
@xinwenzixun8887 (7/7 hand-verifiable sample passed)1.0020 hours@xinwenzixun888 (7–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 96 of the 96 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 829 comparable posts for this entry, running 5 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_copy, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

20,94755,88238,414.524,7167 August 202610 November 2026
64 measurements spanning 95 days, net -10,876. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 15,707–61,122 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
10 Nov 2026, 10:4624,716-653
9 Nov 2026, 00:0825,369-1,193
7 Nov 2026, 15:5526,562+2,501
6 Nov 2026, 15:5924,061-851
5 Nov 2026, 18:5124,912-78
4 Nov 2026, 15:5624,990-130
3 Nov 2026, 12:5625,120-181
2 Nov 2026, 10:3525,301-163
1 Nov 2026, 13:2825,464-229
31 Oct 2026, 15:3825,693-260
30 Oct 2026, 18:3125,953-590
29 Oct 2026, 16:2926,543-2,620
28 Oct 2026, 18:5629,163-746
27 Oct 2026, 15:4729,909-620
26 Oct 2026, 15:2730,529-568
25 Oct 2026, 12:0531,097-216
24 Oct 2026, 14:1631,313+10,366
23 Oct 2026, 15:1720,947-3,824
22 Oct 2026, 15:5524,771-1,788
21 Oct 2026, 08:5926,559first reading

Engagement

925 posts held, back to 5 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 190 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.82%
avg views ÷ 24,716 subscribers
Avg views / post
1,190
223 posts measured
Reaction rate
0.066%
reactions ÷ views · ER floor
Posts in window
223
of 925 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 1 of 223 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held925 (5 August 2026 – 11 November 2026)
Views total265,528
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 21:23 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
≈12,000
Videos
≈649
Links
≈1,110

Lifetime counters from Telegram’s own channel header, read 11 November 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
5m 07s
Average length
3s

Measured directly from 95 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

12 reactions across 12 posts, in 7 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍325.0%
❤216.7%
👏216.7%
🤩216.7%
🎉18.33%
😁18.33%
🥰18.33%

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 12 of the 925 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 925 most recent posts we hold, published 5 August 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 0 of 223 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 13:09 UTC≈1,210 viewsread 11 November 2026
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#柬埔寨曝光:波贝AGA附近一公司暴力管理,员工完不成业绩遭殴打 一家存在暴力管理的公司位于柬埔寨波贝AGA附近,坐标:13°39’23.7”N 102°34’18.2”E。 据称,该公司藏身于一处民宿内,里面有十几名员工,全部从事国内盘军包业务。日常管理采取高压模式,员工每天都要蹲马步工作,只要没有完成当天任务,晚上就少不了一顿毒打。如今柬埔寨已经是这样的局势,该公司仍然采取这种高压管理方式。 这只是其中一个团队。据称,该公司在柬埔寨一共有三个团队,三个团队的具体位置都已掌握,准备先从管理最黑暗的团队开始曝光。 公司老板和总监一般晚上会出现在不夜城酒店。 目前,总监、组长以及代理的照片暂时不予曝光。如果相关人员不及时整顿,后续照片将会公开。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

11 Nov 2026, 12:37 UTC≈1,180 viewsread 11 November 2026
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11 Nov 2026, 11:17 UTC3 viewsread 11 November 2026
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#网友投稿:8号园区的杨总,请付血汗钱! 在8号园区,波哥山搞医疗的杨总,辛辛苦苦给你打点生意,最后却落到一年的工资一分血汗钱都没拿到。 以前没出事前,还信誓旦旦地说,出了事你来兜底。怎么我回国被帽子叔叔传唤了,没看到你吭一声?我被拘押期间,一个字都没提到你相关的事,最后还是自己借钱保释出来。 现在我只要求付我一点保释金就行,这一点小小的要求,你都当视而不见。本来我也尊重你,但是现在你的处事方式,让我看到了你伪善的一面。 如果还是视而不见,资料我已经全部收集。再拒绝沟通,下次就把你家在金边的工厂地址、家庭住址,以及你跟你亲妹妹的照片全部曝光,让大家在金边好好防范这两姐妹。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

11 Nov 2026, 09:08 UTC≈1,220 viewsread 11 November 2026
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#柬埔寨 强烈不满美《人口贩运报告》连续五年将其列为第三级 柬埔寨国家反人口贩运委员会(NCCT)昨日发表声明,对美国国务院在《2026年人口贩运报告》中连续第五年将柬埔寨列为“第三级”表示强烈不满,称该评估无视柬方打击人口贩运的政治意愿与实际成效。 声明指出,在洪玛内总理的领导下,柬埔寨已于今年4月颁布《打击网络诈骗法》,持续清剿电诈园区、解救受害者并法办多名主谋。柬方强调,跨国网诈非一国之力可根除,呼吁国际社会共同担责。 柬王家学院学者也敦促美方停止单纯指责,应效仿韩国提供实际的资金与技术援助。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

11 Nov 2026, 07:06 UTC3 viewsread 11 November 2026
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金边本周五起禁飞风筝无人机! 柬埔寨将于11月13日至17日举办第20届法语国家组织峰会,90多国代表齐聚。为保绝对安全,金边市长坤盛签发紧急禁令:峰会期间全市禁止放飞风筝及未经授权操作无人机,彻底消除隐患。 市政府呼吁市民维护治安市容,鼓励规范悬挂国旗展现东道主热情。指定道路沿线禁停,穿行安保管控区需配合执法疏导,避免拥堵。 首相洪玛奈透露,超20国总统总理将出席,法国总统马克龙已确认11月14-16日访柬参会。警方部署近2万警力护航,已在金边及德崇机场完成大规模车队安保演练,严阵以待迎接各国贵宾。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

11 Nov 2026, 05:09 UTC≈1,560 viewsread 11 November 2026
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毫无公德!男子随地小便遭拍 贡布省警察局长严厉警告 近日,柬埔寨贡布省一名男子在公共场所随地小便的画面被拍下,引发关注。 对此,贡布省警察局长直接发出严厉警告,斥责此类行为毫无道德。他公开喊话称,所有习惯在公共场合随地小便的男士,千万不要被其手下的执法人员撞见;一旦被当场发现,必将当众出丑。 警察局长同时敦促民众自觉维护公共环境,务必寻找正规厕所如厕。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

11 Nov 2026, 01:01 UTC≈1,610 viewsread 11 November 2026

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10 Nov 2026, 12:51 UTC≈1,290 viewsread 11 November 2026
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越南胡志明警方打掉一股票盘 十几个中国狗推悉数被抓 这个中国狗推在越南公安面前 表情实在放松,又很释然 似乎还想来一句: 公安同志,你看得明白吗? 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

10 Nov 2026, 12:37 UTC≈1,480 viewsread 11 November 2026
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10 Nov 2026, 11:06 UTC7 viewsread 11 November 2026
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柬埔寨一载有26名学生的校车坠入池塘! 今天上午,柬埔寨干拉省一辆校车突发意外坠入路边池塘。事发时,车上共载有26名学生。 事故发生后,当地政府部门、执法人员及周边民众迅速赶赴现场展开紧急救援。截至初步消息发布时,救援力量正全力将受困学生从水中车辆内救出,但尚未全部脱险。 目前,现场搜救工作仍在紧张进行中,当局正竭尽全力保障所有学生的生命安全。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

10 Nov 2026, 09:15 UTC964 viewsread 11 November 2026
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#网友投稿:今天收到妈妈发来的一段信息,看完的那一刻,眼泪一下子就忍不住了。 妈妈说,从小家里的条件就不好,爸爸妈妈也没有什么能力,给不了我优越的生活。小时候,看着我穿着破破烂烂的衣服,站在同龄人面前,心里总是很不是滋味。也怪自己没本事,没能让孩子过上好一点的日子。 可我小时候总是笑着说:“没事,等我长大了,我挣钱养你们。” 爸爸妈妈知道我懂事,也一直相信我。只是没想到,自从我离开学校以后,就开始一个人在外面打拼。这些年,时不时还会寄些钱回家,电话里总是说自己在工厂干得挺好,让他们不要担心。其实爸爸妈妈心里都明白,一个人在外面讨生活,哪有那么容易,只是知道我报喜不报忧,他们也不忍心多问。 后来,我说想出国闯一闯。这一走,就是好几年。 这几年里,电话打得越来越少,回家的日子也越来越遥远。每次打电话,无非就是报个平安,说几句家常,问问家里的情况。可那些在外面受过的委屈、吃过的苦、熬过的夜,我从来不愿意告诉他们。我总觉得,只…

10 Nov 2026, 09:14 UTC≈1,080 viewsread 11 November 2026
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#最新消息:10月底西港“星汇海景湾”抓的那批中国同胞这2天都要送去金边了,基本处理不了。 这几天警察局里面都空了,接下来又会出门去炸街抓人进去,西港局势越来越严峻,几个国家暗地调查也在继续,同胞们保护好自己~ 现在就是狗推抓完了就开始抓这些鸡店,大概要把今年抓完才会结束的,目前柬埔寨的确是没办法呆了。建议大家先回国把年过了再考虑出来吧。 🀄️🀄️🀄️0充值,免费体验,中奖可提现 🖋广告合作:👤山野藏秋

Showing the 12 most recent of 925 posts we hold for @ukevjiv6. 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.

Posts recorded as deleted after publishing

We recorded 14 posts on @ukevjiv6 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 October 2026
Most recent seen missing
11 November 2026
Median time before seen missing
30 hours
Seen missing in the last 30 days
13

Mentions

Named by 46 registered channels — 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. The 21 listed below are the most frequent namers; the rest are counted above but not each listed.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨大事件曝光『西港黑料』” (@ukevjiv6), 24,716 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ukevjiv6.

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.