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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 · Reactions · Posts · Citations · Cite this entry

41,645subscribers

-3,267 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 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live19 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 19 September 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

41,64544,91243,278.57 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 subscribers16 August 2026 — 44,203 subscribers17 August 2026 — 44,109 subscribers18 August 2026 — 44,037 subscribers19 August 2026 — 43,926 subscribers20 August 2026 — 43,851 subscribers21 August 2026 — 43,791 subscribers22 August 2026 — 43,721 subscribers24 August 2026 — 43,520 subscribers25 August 2026 — 43,452 subscribers26 August 2026 — 43,368 subscribers27 August 2026 — 43,321 subscribers28 August 2026 — 43,282 subscribers29 August 2026 — 43,228 subscribers30 August 2026 — 43,175 subscribers31 August 2026 — 43,105 subscribers1 September 2026 — 43,061 subscribers2 September 2026 — 42,972 subscribers3 September 2026 — 42,864 subscribers5 September 2026 — 42,753 subscribers9 September 2026 — 42,483 subscribers11 September 2026 — 41,996 subscribers13 September 2026 — 41,872 subscribers15 September 2026 — 41,818 subscribers17 September 2026 — 41,745 subscribers19 September 2026 — 41,645 subscribers7 August 202619 September 2026
33 measurements spanning 43 days, net -3,267. 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 41,155–45,402 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
19 Sept 2026, 17:3741,645-100
17 Sept 2026, 03:3741,745-73
15 Sept 2026, 06:2141,818-54
13 Sept 2026, 15:3641,872-124
11 Sept 2026, 17:5541,996-487
9 Sept 2026, 05:3942,483-270
5 Sept 2026, 20:4242,753-111
3 Sept 2026, 16:1642,864-108
2 Sept 2026, 08:0442,972-89
1 Sept 2026, 06:2943,061-44
31 Aug 2026, 08:1143,105-70
30 Aug 2026, 09:4743,175-53
29 Aug 2026, 13:1943,228-54
28 Aug 2026, 11:2343,282-39
27 Aug 2026, 13:1543,321-47
26 Aug 2026, 11:3343,368-84
25 Aug 2026, 14:2643,452-68
24 Aug 2026, 16:3443,520-201
22 Aug 2026, 22:5343,721-70
21 Aug 2026, 10:0743,791first reading

Engagement

884 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 86 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.014%
avg views ÷ 41,645 subscribers
Avg views / post
5.7
529 posts measured
Reaction rate
15.6%
reactions ÷ views · ER floor
Posts in window
529
of 884 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 122 of 529 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 21 September 2026
Posts held884 (7 August 202621 September 2026)
Views total3,000
Reactions total129
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 02:05 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
15,600
Videos
2,560
Links
6,680

Lifetime counters from Telegram’s own channel header, read 22 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 31m
Average length
50s

Measured directly from 180 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

131 reactions across 124 posts, in 6 distinct kinds. The most used accounts for 24.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🥰3224.4%
👏2317.6%
🎉2116.0%
🔥2116.0%
👍1713.0%
🤩1713.0%

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 124 of the 884 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 131 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 884 most recent posts we hold, published 7 August 2026 to 21 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

21 Sept 2026, 14:42 UTC10 views1 reactionsread 22 September 2026
Video

#HR投稿 此一时彼一时,求职者屁事多就送二句,要不你自己开盘,你找公司其他招聘,我忙。 是不是发现没什么公司了,最近全是找工作的,适合的岗位和国家就先干,先苟着,除非你特别优秀,不然你连挑的资格都没有,现在还有叼毛跟前几年一样思维,我有手能打字,跟大爷一样,自我感觉良好,还挑岗位和国家,这夜班不做,这时间长不做,那个国家蚊子多不去,兄弟你都找了2-3个月还在到处问,泰国有岗位吗?叼毛,自己开盘还找什么工作。 博彩公司同行招聘,以前卑微的你,腰杆子可以硬起来了,今天我又拒绝三个找工作的,屁事多又不配合面试,让他去找其他招聘,现在大把咨询工作的,本来都忙不过来,就连兰卡客服一个多月都二千多份简历,还要找关系私下给面试官300-400U,你的人选才有资格约面,叼毛些,时代变了,现在做推广都是有要求的。 很多公司离职了,找了一二个月工作只有更差,开始后悔怀念以前9休4客服多香,找N多招聘想回来,去的包网要不解散,要不工资都发不起

🎉1

21 Sept 2026, 14:01 UTC10 views1 reactionsread 22 September 2026
Photo

老挝金三角特区外,洪门国际酒店里面的酒吧,买卖人口,强迫人员诈骗。 酒吧老板,假借酒吧名义,顶风作案,(把酒吧装修成暗间,入口在吧台后面,里面做诈骗工作室),自称关系通天,在东鹏公安局副局长保护下,无恶不作,压榨员工。 酒吧园区内至少有100多人,其中数十人并非自愿,其业务涉及“国盘”、“军包”、“精聊”等针对国内的大额诈骗项目,全天24小时缅甸内保,手持电棍看守,员工稍有不从,或者上班状态不好,即被保安抓至小黑屋,吊起严刑拷打。 酒吧老板是盘口股东,提供保护是东鹏公安局副局长。每个月按照每人3500元,收取保护费。望老挝政府及中国政府早日抓捕酒吧老板,解放里面被买卖来的人员。 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

👏1

21 Sept 2026, 13:43 UTC9 viewsread 22 September 2026
Photo

🇹🇭 泰国检方起诉4名涉走私海洛因至澳洲嫌疑人 近日,泰国检察总长下令起诉涉嫌向澳大利亚走私海洛因的跨国贩毒团伙4名成员。 今年6月25日,26岁的泰航空姐“Air Mina”在墨尔本机场被捕,澳方在其行李中查获藏于大象印花包衬里、价值约50万澳元的1公斤余海洛因。 泰国4名嫌疑人面临跨国犯罪、走私及贩卖毒品等指控,最高可判死刑。目前3人已被捕,1人在逃;涉案空姐仍被扣押于澳洲,面临最高25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⛔

21 Sept 2026, 13:43 UTC8 views1 reactionsread 22 September 2026
Video

这是一个农夫与蛇的故事,故事主人公外号叫阿Bin(真实姓名:XXX)。 农夫与蛇·现代版:2021冬天,阿Bin蜷在我大上海赌场公司的对面的办公室外面,像一条冻僵的蛇。 他说他被合伙人骗了,身无分文,连住的地方都没有。我心一软,让他进了我公司。给他地方住,给他饭吃,手把手教他做业务。他叫我“哥”,叫得比亲弟弟还亲。 2024的夏天,他做到了总监,我二话没说,从自己的股份里割了一块给他。没让他出一分钱,我说:“你好好干,这就是你的。” 他跪在地上给我磕头,说这辈子做牛做马报答我。 我信了。 再后来,2026年我回国了,急需用钱。公司的事全权交给他打理,公司的资源、收款U地址、员工,一样不落全给了他。我走的时候拍着他肩膀说:“阿斌,公司交给你了。” 他眼眶红红地说:“哥,你放心。” 等我回国以后,公司已经不是我的了。 股东名单上没有我的名字了。客户全被他转走了,团队全被他收买了。我亲手创立的公司,一夜之间叫了“阿B

🥰1

21 Sept 2026, 13:33 UTC9 views1 reactionsread 22 September 2026
Photo

#币圈 BTC 突破 85000 美元,同时全网24小时内共有7.82亿美金爆仓 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⛔

🔥1

21 Sept 2026, 13:33 UTC9 viewsread 22 September 2026
Photo

#西港安全 #冒充警察 #旅游避坑 警惕!西港两男子冒充警察查护照,赌场内当场被抓 去西港玩的朋友注意了!小心有人假扮警察查你护照。 据西哈努克省警方通报,2026年9月15日,当地轻罪刑事警察办公室展开行动,成功抓获两名涉嫌冒充警察的柬埔寨籍男子。 这两人胆大包天,直接混进西哈努克市的一家赌场,以“执法”为名对游客进行护照检查。目前,两名嫌疑人已被扣留接受讯问,案件正依法处理中。 出门在外,遇到“查证件”务必核实对方真实身份,别被骗子钻了空子! 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⛔

21 Sept 2026, 13:33 UTC7 viewsread 22 September 2026
Photo

金边警方紧急追捕4名涉嫌殴打柬籍女性的中国男子 金边市警察局局长尊那林下令,要求金边刑事警察部门联合棉芷区警局,紧急开展调查追捕4名中国籍男子。 今天凌晨,这4名中国男子在金边棉芷区一家店内对一名柬埔寨籍女子实施暴力。目前警方已接获受害女子的正式报案,专业警力正全面展开调查以依法缉拿涉案人员。 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⛔

21 Sept 2026, 13:32 UTC9 viewsread 22 September 2026
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#柬埔寨 #反电诈 #8号园区 柬埔寨“8号园区”开放:曾近2万人搞电诈,地上竟有美金 柬埔寨近日邀请39家媒体、78名记者,深入探访位于波罗勉省贡斋密县的“芒奇商业中心”,即臭名昭著的“8号园区”。这片占地120公顷的巨型园区,曾是网络诈骗的重灾区。 据警方披露,该园区由太子集团旗下企业运营,2023年动工,2024年底完工。巅峰时期,这里聚集了近2万名外国人从事电诈活动。随着陈志被捕,园区陷入混乱,人员纷纷逃离。今年2月,柬方多部门联合接管并封锁了园区,切断水电网络并安装监控,严防犯罪分子回流。 此次开放正值柬埔寨筹备“国际反网络诈骗会议”之际。记者们得以进入现场,拍摄遗留物品和设施,直观感受这个容纳数万人的诈骗窝点如今的荒凉现状。目前,柬执法部门已查处86处类似中心,正依法推进资产没收程序,将非法所得收归国有。 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)

21 Sept 2026, 12:27 UTC9 viewsread 22 September 2026
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卜迭棉芷省清查三处疑似网诈窝点 抓获3名嫌疑人 今天上午,柬埔寨卜迭棉芷省执法部门对诗梳风市一处出租屋进行突击检查,打掉一处网络诈骗窝点。 行动中抓获3名涉案人员(含2名女性),查获一体机电脑3台及手机3部。目前嫌疑人及涉案物品已移交警方依法处理。随后执法人员继续清查了另外2处地点,未发现异常。 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⛔

21 Sept 2026, 12:27 UTC4 views1 reactionsread 21 September 2026
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挂羊头卖狗肉!巴域一赌场假借“装修”暗中充当近300人网诈窝点 柬媒报道,位于柴桢省巴域市占地5公顷、高7层(769间房)的“Golden Galaxy”金银河赌场,此前以“装修”为伪装掩人耳目,暗中充当网络诈骗窝点。 在柬埔寨筹备“打击网络诈骗国际会议”之际,柬新闻部于9月21日组织39家机构78名中外记者实地采风。 今年4月7日,柬埔寨警方查封了该窝点,逮捕3名主犯送交法办,并将抓获的275名外籍涉案人员(含25名中国人)移交移民总局驱逐出境。 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⛔

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20 Sept 2026, 15:11 UTC7 viewsread 21 September 2026
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#网友投稿 ⚠️ 提醒大家!这个人叫 Ng Kok Woon,马来西亚人🇲🇾传说是妥妥的JB区大哥🤣😂 -外号「疯子/风子」。之前找我借了 11,000 USDT 一直没还,后来又找我们帮忙换币,说他给马币、我们给他USDT,结果我们转了 1,700 USDT 过去,直接失联不回复!听说拿到钱就跑去KTV潇洒了!有找到这个人的话请马上通知我们,有回报哦!反正找到他的人 必须安排大红包🧧大家千万小心,别再上当! 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⛔

20 Sept 2026, 15:10 UTC6 viewsread 21 September 2026
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老挝推进全国收缴非法枪支弹药 为维护社会安全及促进国家发展,老挝正全面落实总理及主管部门指示,在全国范围内强力推进非法枪支、军用武器及爆炸物的收缴工作。 此前,非法使用武器引发的抢劫、恐吓及暴力杀人等案事件严重威胁民众生命财产安全。官方强调,收缴和严格管控非法武器对预防犯罪、降低暴力风险及保障人民安全至关重要。 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⛔

Showing the 12 most recent of 884 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“柬埔寨吃瓜头条新闻” (@buliangzhu), 41,645 subscribers as measured 19 September 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.