Telegram RegisterThe public register of Telegram

Channel

柬埔寨吃瓜头条新闻

@buliangzhu

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

44,303subscribers

-609 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-1003842396103
TypeChannel
Username@buliangzhu
Description聚焦柬埔寨全境热点动态,涵盖民生资讯、华人生活、商贸行情、文旅攻略、圈层八卦、本地头条与突发新鲜事。用轻松有趣的视角解读柬埔寨大小新闻,靠谱资讯 + 劲爆瓜料两不误,带你看懂真实柬埔寨。 📮投稿爆料合作联系 @XLJ05
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/buliangzhu

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 89% 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.

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 word for word on 1 other registered channel. 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
@gaocaoss/193087 Aug 2026, 13:19 UTC@buliangzhu/14319 · this entry7 Aug 2026, 13:29 UTC1.0011 minutes
@gaocaoss/193097 Aug 2026, 13:29 UTC@buliangzhu/14320 · this entry7 Aug 2026, 13:29 UTC1.00under a minute
@gaocaoss/193147 Aug 2026, 14:09 UTC@buliangzhu/14321 · this entry7 Aug 2026, 14:10 UTC1.002 minutes
@gaocaoss/193217 Aug 2026, 14:19 UTC@buliangzhu/14322 · this entry7 Aug 2026, 14:31 UTC1.0013 minutes
@gaocaoss/193227 Aug 2026, 14:29 UTC@buliangzhu/14323 · this entry7 Aug 2026, 14:31 UTC1.002 minutes
@gaocaoss/193237 Aug 2026, 14:29 UTC@buliangzhu/14324 · this entry7 Aug 2026, 14:31 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@gaocaoss9 (8/8 hand-verifiable sample passed)1.002 minutes@gaocaoss (90)

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. 9 of the 9 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 15 comparable posts for this entry, running 7 August 2026 to 7 August 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).

Across the whole group of 2, the earliest publisher we hold is @gaocaoss. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 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.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

44,30344,91244,607.57 August 2026 — 44,912 subscribers8 August 2026 — 44,868 subscribers9 August 2026 — 44,792 subscribers10 August 2026 — 44,726 subscribers11 August 2026 — 44,567 subscribers11 August 2026 — 44,488 subscribers13 August 2026 — 44,392 subscribers14 August 2026 — 44,303 subscribers7 August 202614 August 2026
8 measurements spanning 7 days, net -609. 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 44,212–45,003 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 15:5744,303-89
13 Aug 2026, 03:0444,392-96
11 Aug 2026, 23:5344,488-79
11 Aug 2026, 01:4544,567-159
10 Aug 2026, 02:5144,726-66
9 Aug 2026, 06:0144,792-76
8 Aug 2026, 08:2244,868-44
7 Aug 2026, 15:0144,912first reading

Engagement

188 posts held, back to 7 August 2026the 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
1.83%
avg views ÷ 44,303 subscribers
Avg views / post
812
188 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
188
of 188 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 15 August 2026
Posts held188 (7 August 202615 August 2026)
Views total152,570
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 12:35 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
12,300
Videos
2,140
Links
4,650

Lifetime counters from Telegram’s own channel header, read 15 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
47m 12s
Average length
1m 04s

Measured directly from 44 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

15 Aug 2026, 12:27 UTC2 viewsread 15 August 2026
Photo

#巴基斯坦 拉瓦尔品第被围园区后续报道。 ⚠️调查出现重大转折,官员称从中国和越南公民身上搜出与中国和越南警察制服。 当局正在调查这些制服为何会出现在他们手中以及可能的使用方式。 ps:国内军包 这种回去基本上不会低于2年刑期 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 12:22 UTC≈1,970 viewsread 15 August 2026
Photo

#网友爆料 木姐黑桃A公司 #林总 我们已经给了足够多的时间等待工资发放 今年4月份的工资到现在一直没有发放,已经拖了整整四个月,你们总是一拖再拖。大家出来打工都是要生活要养家,实在耗不起。 如果还是一直不给我们发工资,我们会把公司地下室还在偷偷开工经营的事公开曝光,一切后果由公司自行承担。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 12:21 UTC7 viewsread 15 August 2026
Photo

#开云#鸭脖 公司到底怎么了,诺大的公司,这个时间人家小公司的工资都已经到账了,咱们oa都还不出来? #以人为本在哪里啊 员工心心念念的盼着这点牛马费过日子,公司一拖再拖到底几个意思?发工资能不能像罚款扣款一样有点效率啊啊啊?混底薪都给你拖好拖满,真的是一家以人为本的大企业! 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 11:28 UTC12 viewsread 15 August 2026
Photo

#越南资讯:非法入境买假身份 中国男子获刑五年半 8月14日,越南胡志明市人民法院审理了一起伪造证件及行受贿案。40岁中国籍男子董建于2021年非法入境越南,后支付5万元人民币通过中间人并贿赂越南前公安人员,伪造聋哑病历及出生证明,将假名“裴文豪”录入人口数据库,顺利骗领越南身份证。 法院以使用伪造证件罪和行贿罪判处董建有期徒刑5年6个月。协助其伪造身份的两名同伙及三名涉案前公安人员也分别被判处1年至4年3个月不等的有期徒刑。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 11:18 UTC9 viewsread 15 August 2026
Photo

#币圈新闻:币安发布公告表示,为配合监管要求,包括 HTX、EXMO、ABCeX 等多家交易所,被列入不再处理相关交易名单。 他们建议用户,避免通过币安直接或间接,向以上几家转入或接收资产,如继续尝试,账户可能会被审查或冻结。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 11:06 UTC7 viewsread 15 August 2026
Photo

#缅甸资讯:妙瓦底警方突袭赌场妓院 数十人被捕 8月13日晚,克伦邦妙瓦底市警方对当地非法场所展开突袭,查封两家赌场及一家妓院。 行动中,警方逮捕赌场负责人及参赌人员数名,另在妓院抓获经理及工作人员4名、从事性服务人员32名,涉案人员已分别依据《赌博法》和《打击卖淫法》立案追责。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 11:06 UTC5 viewsread 15 August 2026
Photo

#群友投稿:就在刚刚,金三角特区“金水湾”又有几个电信专家被治安局抓走了! 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 11:06 UTC3 viewsread 15 August 2026
Photo

#网友爆料 中国人老板 名字 #阿涛 拖欠工资不发 在南邓 梦拉 孟波 她都有公司 在孟波开 聊感情公司的 南邓的公司 在58会所过去一点那个 #锦泰酒店 全部楼都是他的诈骗员工 锦泰酒店的也是他的产业 但是用的合伙人的名字 锦泰酒店楼下的火锅店也是他的产业 也是用的她的合伙人名字 阿涛 拖欠工资不发 已经三个月了 一直说明天给 都没有给 要是还不发 我们就直接举报到佤邦单位 再给你3天时间 不发 直接去举报 国内我们也有人到时候 直接抓回国 你的照片 不要逼我曝光出来 能定你的罪的证据老子也有 到时候 自己的坐牢不要说老子没有给你时间 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 10:28 UTC4 viewsread 15 August 2026
Photo

拜林省监狱曝管理丑闻:疑有囚犯欺凌他人、涉DU交易及违规外出 近日,一段据称来自柬埔寨拜林省监狱内部的偷拍视频在网络流传,引发外界对监狱管理问题的关注。 视频内容显示,监狱内部分被称为“大佬”的囚犯疑似对其他在押人员实施暴力行为。相关画面曝光后,有关方面质疑监狱内部是否存在监管失效、违规操作等问题。 据视频发布者称,这些囚犯不仅涉嫌在监狱内进行DU品交易,还能够使用手机与外界保持联系,从事各种非法活动。更令人关注的是,视频中还指称部分囚犯可能通过收买狱警获得特殊待遇,甚至在夜间违规离开监狱活动。 如果相关情况属实,将反映出拜林省监狱在人员管理、纪律执行以及安全监管方面可能存在严重漏洞。 目前,相关视频的真实性以及涉及人员身份尚未得到官方正式确认。当地执法部门是否已经介入调查、是否存在狱警违规包庇行为,仍有待进一步消息公布。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(

15 Aug 2026, 10:24 UTC4 viewsread 15 August 2026
Photo

2026年的6月20日,通过王总进入这家名为“君悦汇”的公司,位于亚洲大厦六楼。 入职期间,公司没有发过一次工资。期间多次询问财务,给出的回答一直都是“今天、明天、大后天”;管理人员也是回复“过段时间”。 我们全部都是贴钱上班,吃喝拉撒、住宿、签证费用,全部都是自己承担。一直祈求公司可怜一下,发一点生活费,但公司一分钱都不发。从业以来,从未见过如此恶心的黑心公司。公司老板好像叫什么严总,目前由王总负责管理。 希望广大网友帮忙曝光、抵制这种黑心公司。这家公司一点人性都没有,二十个DJ全部没有拿到一分钱工资。日本人都没这么惨过,贴钱打黑工,真的是令人无法接受。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 10:24 UTC2 viewsread 15 August 2026
Photo

印尼在柬埔寨设立专项警务办公室,合力追查本国被骗公民 印度尼西亚正式在柬埔寨国家警察总部设立专属警务协作窗口,多部门联合办公。加速处理被困柬埔寨的印尼受害者,追踪诈骗团伙资金流向,推进两国联合抓捕行动。^^ 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

15 Aug 2026, 09:47 UTC4 viewsread 15 August 2026
Photo

#澄清贴 曝光人為公司優化調整人員,與我方已完成相關協議及離職程序。 員工返回台灣後,因不滿公司優化安排,反覆向公司提出額外賠償要求。在公司人事部拒絕不合理要求後,進一步針對公司管理層,公開發布與事實不符的內容,並曝光管理層相關資訊,對公司及管理人員造成不良影響。 公司一貫尊重員工合法權益,所有相關安排均依照雙方已簽署的協議及公司制度執行。對於任何不實指控、惡意誹謗、惡意抹黑,以及損害公司與管理層名譽的行為,公司絕不姑息。 目前公司已就相關情況進行證據蒐集及法律評估,並將委託律師發出正式律師函。若相關行為仍未停止,公司將依法追究相關法律責任,並保留一切合法權利。 0857人事部 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XL

Showing the 12 most recent of 188 posts we hold for @buliangzhu. 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 — 1,317,061 of 1,480,688entries 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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨吃瓜头条新闻” (@buliangzhu), 44,303 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/buliangzhu.

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.