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Channel

柬埔寨新闻爆料【BK8冠名|安全首选 】

@LM4888

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Cite this entry

181,759subscribers

-269 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001677798376
TypeChannel
Username@LM4888
Description#曝光 #新闻 #柬埔寨 #东南亚 #吃瓜 💵商务合作: @xiao66lu 专注柬埔寨最新新闻资讯! ⚠️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!!!
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/LM4888

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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 2 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
@FCG883/184467 Aug 2026, 13:59 UTC@LM4888/22940 · this entry7 Aug 2026, 13:59 UTC1.00under a minute
@FCG883/215494 Oct 2026, 15:23 UTC@LM4888/26125 · this entry4 Oct 2026, 15:23 UTC1.00under a minute
@LM4888/26473 · this entry8 Oct 2026, 10:01 UTC@FCG883/218108 Oct 2026, 10:02 UTC1.0072 seconds
@FCG883/218128 Oct 2026, 10:04 UTC@LM4888/26475 · this entry8 Oct 2026, 10:04 UTC1.00under a minute
@FCG883/218528 Oct 2026, 16:09 UTC@LM4888/26520 · this entry8 Oct 2026, 16:09 UTC1.00under a minute
@FCG883/2224213 Oct 2026, 13:31 UTC@LM4888/27134 · this entry14 Oct 2026, 13:31 UTC1.0024 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
@FCG88314 (8/8 hand-verifiable sample passed)1.00under a minute@FCG883 (9–5)
@ssr68813 (8/8 hand-verifiable sample passed)1.00under a minute@ssr688 (8–5)

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. 7 of the 7 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 1,386 comparable posts for this entry, running 7 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_mutual, 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

171,906183,977177,941.5181,7597 August 202610 November 2026
63 measurements spanning 95 days, net -269. 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 170,095–185,788 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
10 Nov 2026, 10:56181,759+263
8 Nov 2026, 23:21181,496-884
7 Nov 2026, 13:46182,380+1,174
6 Nov 2026, 14:37181,206+1,123
5 Nov 2026, 16:46180,083-491
4 Nov 2026, 13:37180,574-607
3 Nov 2026, 12:39181,181-1,207
2 Nov 2026, 13:01182,388-477
1 Nov 2026, 09:26182,865+1,938
31 Oct 2026, 08:04180,927-867
30 Oct 2026, 08:55181,794+1,054
29 Oct 2026, 11:15180,740-850
28 Oct 2026, 07:39181,590-488
27 Oct 2026, 08:21182,078-574
26 Oct 2026, 07:06182,652-501
25 Oct 2026, 05:55183,153-824
24 Oct 2026, 03:04183,977+1,322
23 Oct 2026, 05:38182,655-1,112
22 Oct 2026, 02:27183,767+2,836
20 Oct 2026, 21:26180,931first reading

Engagement

1,729 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 199 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.879%
avg views ÷ 181,759 subscribers
Avg views / post
1,600
593 posts measured
Reaction rate
3.32%
reactions ÷ views · ER floor
Posts in window
593
of 1,729 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 548 of 593 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 held1,729 (7 August 2026 – 11 November 2026)
Views total946,886
Reactions total29,017
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 17:05 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
≈18,300
Videos
≈1,660
Links
≈16

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
4h 35m
Average length
44s

Measured directly from 375 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

50,139 reactions across 927 posts, in 2 distinct kinds. The most used accounts for 86.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤43,53886.8%
👍6,60113.2%

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 929 of the 1,000 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 50,139 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 26 September 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: 2 of 593 posts held from the last 30 days (0.337%) 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, 15:36 UTC540 views33 reactionsread 11 November 2026
Video

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❤32👍1

11 Nov 2026, 15:30 UTC125 views19 reactionsread 11 November 2026
Video

#群友投稿:西港,还是那个西港。 十年光阴,一个小渔村已变成现代城市。法律制度、城市面貌、营商环境都在改变。离开灰产之后,这座城市将走向何方,没人能说得准! 2025.11—2016,政府持续打击各类犯罪。这里不再是电诈温床,靠捞快钱的日子也成了过去。时代变迁,人也一样,不努力就可能被淘汰。 城市依旧矗立,你的青春和年岁,能否等到梦想实现的那一天?赚钱的速度,能不能赶上衰老的脚步? 所以,还是要踏实赚钱,远离恶习。为自己攒下财富,也是在为自己留条后路。 《这里曾成就多少富翁,也埋下多少尸骨。》 无论是正经生意,还是灰产牟利,风险与收益总是相伴而行。 2026年,世事愈发难料。本该进入旱季,却天天下雨,仿佛连老天也变了脸。 如今的西港人烟稀少,未来该往哪里发展?是否已经规划好,再次为梦想启程?

❤18👍1

11 Nov 2026, 15:16 UTC131 views27 reactionsread 11 November 2026
Photo

#马来西亚资讯:沙巴四地联手突击!107名非法移民被捕,含25名儿童 马来西亚沙巴州移民局于11月9日至11日,在亚庇、兵南邦、兰瑙和山打根展开多场联合执法行动,共扣留107名非法移民,其中有25名儿童,另有一名雇主被扣查。 当地媒体11月11日报道,行动主要针对住宅区、商业场所、水疗中心及出租房间,打击非法入境、逾期居留及非法雇用外籍劳工等行为。 11月11日,执法人员在山打根和兰瑙突击检查,共扣留71名外籍人士,包括68名菲律宾籍及3名印尼籍人员。 山打根方面,执法人员凌晨1时35分在5处地点检查83人,扣留50人,其中包括25名儿童。 移民局也检查了兰瑙的3处地点,共检查24人,并扣留21名菲律宾籍人员。 此外,11月9日,移民局在亚庇及兵南邦检查312人,扣留36名外籍人士,包括34名菲律宾籍、1名巴基斯坦籍及1名印尼籍人员;一名雇主也被带走调查。 初步调查发现,部分被扣留者涉嫌没有有效身份证件或合法居留准…

❤24👍3

11 Nov 2026, 15:04 UTC607 views32 reactionsread 11 November 2026
Video

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❤29👍3

11 Nov 2026, 14:57 UTC976 views33 reactionsread 11 November 2026
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#泰国资讯:芭提雅抓获一名中国籍通缉人员!涉嫌开设赌场,已被国际刑警组织发布蓝色通报 11月10日,泰国媒体报道称,泰国移民警察收到中方线索后展开追查,约12小时后在春武里府芭提雅抓获一名37岁中国籍男子。该男子涉嫌开设赌场,已遭中国警方通缉,并被国际刑警组织发布蓝色通报。 此次行动由中国驻泰国大使馆提供线索,泰国移民局高层统一指挥,特别调查组具体执行。泰方接报后迅速调查,经过约12小时追踪,锁定该男子在芭提雅的藏身处,并于11月10日凌晨将其抓获。 警方现场核对其护照和身份资料,确认与中方提供的通缉信息相符。随后,泰国移民部门依法撤销其居留许可,并认定其不符合在泰居留条件。 目前,该男子已被送至泰国移民拘留中心。泰方正与中方协调后续遣返及法律程序,准备将其送回中国接受进一步调查处理。

❤28👍5

11 Nov 2026, 14:30 UTC918 views49 reactionsread 11 November 2026
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印尼警方赴菲律宾秘密抓捕数十名网络诈骗嫌疑人,目前正将涉案人员押送回国 11月10日,印尼国家警察总长苏尤迪·阿里奥·塞托(Suyudi Ario Seto)表示,印尼警方近日在菲律宾开展秘密执法行动,抓获数十名涉嫌参与网络诈骗的人员,相关嫌疑人目前正安排遣返回印尼。 据介绍,此次行动针对的是在菲律宾境内活动、以印尼民众为诈骗对象的跨境网络诈骗人员。 苏尤迪称,警方已控制一批涉案人员,并正办理押送回国手续,以便进一步调查。 警方目前尚未公布抓捕人数、嫌疑人身份及诈骗团伙详情。印尼警方表示,后续将由相关部门披露更多行动信息。

❤46👍3

11 Nov 2026, 14:11 UTC995 views47 reactionsread 11 November 2026
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#马来西亚资讯:吉打移民局突击建筑工地,逮捕30名外籍人士,来自孟加拉、缅甸及印尼 11月10日上午,马来西亚吉打州移民局展开名为 Ops Sapu 的执法行动,前往双溪大年 Bandar Amanjaya 一处建筑工地突击检查,并核查现场49名外籍及本地人员的身份。 行动中,执法人员扣留30名涉嫌违反移民法令的外籍人士,包括17名孟加拉籍、12名缅甸籍及1名印尼籍人员。被扣留者中有27名男性和3名女性,年龄介于20岁至50岁。 行动结束后,30人被送往 Belantik 移民拘留中心,接受进一步调查和处理。相关部门将继续调查他们是否违反马来西亚移民法令。 此次行动显示,马来西亚移民执法部门持续加强对外籍劳工及非法居留人员的检查。

❤41👍6

11 Nov 2026, 14:02 UTC866 views31 reactionsread 11 November 2026
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11 Nov 2026, 13:33 UTC913 views38 reactionsread 11 November 2026
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😀😀😀😀😀⚡️⚡️⚡️⚡️全新旗舰品牌;正式启航,时间沉淀实力•岁月见证信赖 (首存彩金福利大放送/日存彩金天天送) 笔笔存款加赠送😀【电子可拉2万一注】 😀😀😀😀😘😘 1221525.com #人民币平台 福利拉满;电子爆奖率超高 🤩🤩🤩🤩😘😘 n1415.com #USDT平台 高返水3%,无上限 实时到账 😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀 😀😄😄🌟😄😀😀😀😀😀😀 1. JDB《花开富贵》单笔爆30万,最终收获282万 2. PG电子《赏金女王》瞬间触发高能爆奖,斩获572万 3. JDB《财神捕鱼》炮炮锁定大鱼成功拿下,一战狂揽476万 4. CHOICE真人《牛牛》真是手风顺要赢尽,一举拿下419万 5. PP电子《极速糖果1000》炸了!200本金狂炸出220万 6. 仅120块爆44万,继开启数倍中奖模式刷屏!最终提现357万 😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀加入 #122体育 等您领取 ⚡…

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11 Nov 2026, 13:30 UTC≈1,030 views36 reactionsread 11 November 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_8253321760

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11 Nov 2026, 13:30 UTC951 views46 reactionsread 11 November 2026
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#网友投稿:此路不通!现在想从缅甸走小路回中国,真没那么容易了。 上周三,老大安排了一件人情事,想把一名从缅甸腊戌出发的人送回中国。他也明白眼下的情况,只让我们尽力而为,安全最重要。 我们在边境附近观察、等待了三天。到了周六,觉得准备得差不多,便安排两名当地人陪同出发。 没想到不到五个小时,整队人就失去了联系。起初我们还没太在意,可过了十二个小时仍联系不上,基本判断这次没能顺利抵达,甚至可能已经被抓。 干了七年这一行,我越来越觉得,如今边境管控很严格,偷越边境风险极高。真不是以前那种想走就能走的情况,更不要轻信所谓的“稳妥路线”。 嘿嘿,情况就是这么个情况。不是夸,也不是吹,边境执法的能力和装备都很强。走非法通道,后果可能远比想象中严重。 总之,别拿自己和他人的安全去赌。需要往返两国,还是走正规渠道。

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11 Nov 2026, 13:20 UTC185 views49 reactionsread 11 November 2026
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#群友投稿:七星海迁西港「江总团队」扣护照、逼人拉人头、转卖员工、欠薪还逼人顶罪! 我是被代理啊欲带去七星海的。他电话里承诺包吃住、代理费可预支,做满三个月还有提成。到了第一天护照就被收走,说统一办理,到现在没还,钱也没给。 头一个月不让干活,天天逼着拉朋友同学,叫来人才算业绩。我把发小阿峰也叫来了。人齐了才开工,每天干十五六个小时,提成单反复改,越改越少;业绩不够就罚站、扣钱。松哥打人,公司也没人管。 啊欲垫了三万多代理费,找江总讨要,他笑说下个月一起结。结果人被调去别的组,再没见过。后来才知道,那批十几个人被江总整批卖到别的园区。 今年风声紧,缅甸园区被拆、西港窝点接连被端。江总拍胸脯说搬去西港,不卖人、不打人,正规经营。结果我们被塞进排屋和酒店,三个月吃食堂、抽假烟,工资一分没有。公司欠了上百万,他只拿「资金周转」搪塞。 我要回国,他不给机票钱,还叫我自己去自首、把事情扛下来,说白了就是让我当替罪羊。 我们拿命…

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Showing the 12 most recent of 1,729 posts we hold for @LM4888. 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 2 posts on @LM4888 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
16 August 2026
Most recent seen missing
12 September 2026
Median time before seen missing
14 hours
Seen missing in the last 30 days
0

Mentions

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.

“柬埔寨新闻爆料【BK8冠名|安全首选 】” (@LM4888), 181,759 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/LM4888.

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.