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Channel

柬埔寨新闻|斑马曝光|cambodia news

@jianpuzhai_xinwen

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

94,085subscribers

-7,530 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-1001714594624
TypeChannel
Username@jianpuzhai_xinwen
Description斑马曝光业务受理范围: 1.投稿爆料 2.澄清删帖 3.广告付费 🌏东南亚灰产新闻曝光: @Banma_xinwen 🇦🇪迪拜灰产新闻曝光: @Dubai_xinwen 🇵🇭菲律宾灰产新闻曝光: @Feilvbin_xinwen 🇰🇭柬埔寨灰产新闻曝光: @jianpuzhai_xinwen 🇹🇭🇲🇲🇱🇦金三角灰产新闻曝光: @jinsanjiao_xinwen ☎️ 爆料投稿: @banma_baoguang @banma_baoguang_bot(双向客服机器人)
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 live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/jianpuzhai_xinwen

Topic

Gambling & betting — 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 80% 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.

Growth

94,085101,61597,8507 August 2026 — 101,615 subscribers8 August 2026 — 101,591 subscribers9 August 2026 — 101,367 subscribers10 August 2026 — 100,410 subscribers11 August 2026 — 100,141 subscribers12 August 2026 — 99,971 subscribers12 August 2026 — 99,808 subscribers14 August 2026 — 99,648 subscribers16 August 2026 — 99,418 subscribers17 August 2026 — 99,173 subscribers18 August 2026 — 98,953 subscribers19 August 2026 — 98,808 subscribers20 August 2026 — 98,658 subscribers21 August 2026 — 98,516 subscribers23 August 2026 — 98,237 subscribers24 August 2026 — 97,910 subscribers25 August 2026 — 97,716 subscribers26 August 2026 — 97,603 subscribers27 August 2026 — 97,511 subscribers28 August 2026 — 97,418 subscribers29 August 2026 — 97,298 subscribers31 August 2026 — 97,155 subscribers1 September 2026 — 97,038 subscribers1 September 2026 — 96,868 subscribers3 September 2026 — 96,633 subscribers4 September 2026 — 96,517 subscribers6 September 2026 — 96,033 subscribers10 September 2026 — 94,942 subscribers12 September 2026 — 94,543 subscribers14 September 2026 — 94,356 subscribers15 September 2026 — 94,257 subscribers17 September 2026 — 94,085 subscribers7 August 202617 September 2026
32 measurements spanning 41 days, net -7,530. 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 92,956–102,745 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 20:1894,085-172
15 Sept 2026, 19:2094,257-99
14 Sept 2026, 02:2194,356-187
12 Sept 2026, 12:3894,543-399
10 Sept 2026, 08:2094,942-1,091
6 Sept 2026, 23:1596,033-484
4 Sept 2026, 09:4296,517-116
3 Sept 2026, 00:2696,633-235
1 Sept 2026, 23:3596,868-170
1 Sept 2026, 02:3897,038-117
31 Aug 2026, 00:2897,155-143
29 Aug 2026, 21:2597,298-120
28 Aug 2026, 22:2697,418-93
27 Aug 2026, 21:2897,511-92
26 Aug 2026, 19:2997,603-113
25 Aug 2026, 20:1797,716-194
24 Aug 2026, 22:1697,910-327
23 Aug 2026, 09:5498,237-279
21 Aug 2026, 17:3798,516-142
20 Aug 2026, 14:0498,658first reading

Engagement

1,211 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.81%
avg views ÷ 94,085 subscribers
Avg views / post
2,640
558 posts measured
Reaction rate
0.039%
reactions ÷ views · ER floor
Posts in window
702
of 1,211 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 5 of 558 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 28 September 2026
Posts held1,211 (7 August 2026 – 28 September 2026)
Views total1,475,190
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Sept 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
≈67,300
Videos
≈9,680
Links
≈5,140

Lifetime counters from Telegram’s own channel header, read 28 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
1h 34m
Average length
25s

Measured directly from 222 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

633 reactions across 62 posts, in 11 distinct kinds. The most used accounts for 12.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8112.8%
🔥7712.2%
🥰7511.8%
❤‍🔥7411.7%
💯7211.4%
😍7111.2%
🤩6410.1%
❤609.48%
🎉558.69%
👀20.316%
👏20.316%

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 63 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 633 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 16 August 2026 to 28 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

28 Sept 2026, 11:00 UTC≈2,680 viewsread 28 September 2026
Video

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28 Sept 2026, 10:00 UTC≈2,540 viewsread 28 September 2026

⚡️万豪天眼查👀 1️⃣司法冻结🦇立案详情🦇通缉网逃 2️⃣通话记录🦇银行流水🦇手机定位 3️⃣网逃犯罪🦇名下车房🦇快递地址 4️⃣外卖地址🦇开房记录🦇同住记录 5️⃣车轨人轨🦇卡主信息🦇机主信息 6️⃣名下号码🦇微反实名🦇飞机火车 7️⃣婚姻记录🦇工商法人🦇全家户籍 覆盖所有查询业务,各种查法,指哪查哪,主打服务到位,给各位老板实质性的处理问题! 🤣😄😄🤣🤣😄🤣😃 📱 客服联系:https://t.me/WHtyc001 📱官方頻道:https://t.me/WHtyc333

28 Sept 2026, 09:58 UTC≈2,620 viewsread 28 September 2026
Photo

#网友投稿:西港OB5别墅区大批宪兵进入别墅区内开展检查,附近的兄弟注意!

28 Sept 2026, 08:27 UTC≈2,880 viewsread 28 September 2026
Photo

#柬埔寨资讯:FBI、澳联邦警察承诺加强合作打击跨境电诈 在柬埔寨国际反网络诈骗大会(ICCOS-2026)期间,柬埔寨内政部国务秘书Keo Vannthan分别与美国联邦调查局(FBI)及澳大利亚联邦警察(AFP)高级官员举行会谈,双方同意进一步加强打击网络诈骗及其他跨国犯罪的合作。 澳方邀请柬埔寨内政部代表团赴澳大利亚,考察联合警务网络犯罪协调中心(JPC3)。该机构的职能与柬埔寨计划设立的网络诈骗打击协调中心类似。 会谈中,柬埔寨与FBI、AFP均同意加强情报和犯罪信息及时共享,重点针对网络诈骗、网络犯罪、毒品犯罪及洗钱等案件,并继续开展警察培训和执法能力建设。 其中,柬埔寨与FBI还讨论了IP地址信息共享取得的成果。这些信息已协助相关行动打击50多个诈骗窝点。双方同时研究防止柬埔寨身份证件被盗用,用于开设银行账户或购买SIM卡等问题。 FBI还承诺为柬埔寨国家警察提供赴FBI学院培训的机会;澳方则将继续提供专业…

28 Sept 2026, 08:12 UTC6 viewsread 28 September 2026
Video

#柬埔寨资讯:西港中国公民涉交通事故后,叫来多人殴打记者并砸毁手机 昨晚,柬埔寨西哈努克市发生一起交通事故,一名中国公民骑摩托车时发生碰撞,导致一名年轻男子重伤。 事发后,记者赶到现场进行采访。据现场消息称,涉事中国公民随后叫来四五名朋友,对到场采访的记者进行殴打,并将记者的手机砸毁。 目前,事件具体经过及伤者情况仍有待进一步确认,相关方面是否已介入调查暂不清楚。

28 Sept 2026, 08:00 UTC≈3,620 viewsread 28 September 2026
Video

🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮😆😝😝😝😜🇧🇮🇧🇮🇧🇮🇧🇮 🇧🇮 西湖娱乐城 老品牌 大额出款无忧 单笔百万U秒出 全网担保上押1300万U 电子百家乐0审核0风控包出款 全球顶级博彩平台 盘总聚集地 🫤【贵宾会】 强势启航 集团背书 信誉担保 全网首发,引爆彩票娱乐新纪元!六合彩49倍 挑战全网心水 全民代理全民收单 助您白手起家 加拿大28全网最高赔率 挑战全网公式 官网 750.cc 😍【封神战报 · 实力见证】 🇧🇮开挂人生:真人百家乐大神再创奇迹,狂揽680万U,引发圈内轰动热议 🇧🇮天降好运:神秘大哥2天创下300万u惊人战绩,单笔提现百万u秒到账 🇧🇮鸿运当头:幸运玩家一夜爆发,一举斩获88万U,出款秒到,大奖狂潮仍在继续! 😬这行大家都懂,你能不能赢是一回事。你赢了能不能拿走,是另一回事。别拿真金白银去测人性,找个硬一点的盘子,心里起码踏实。 😆😆😆😆😆 @xhylcbot 🇧🇮🇧🇮🇧🇮🇧🇮🇧🇮 @xihuBET6…

28 Sept 2026, 07:23 UTC≈3,090 viewsread 28 September 2026
Photo

#柬埔寨资讯:西港海上截获840公斤毒品,12人被捕 9月27日,柬埔寨海警在西哈努克省Koh Russey岛附近海域拦截一艘高速船,查获约840公斤疑似毒品,分装在40多个袋子内。 行动中还发现近50支枪、100多个弹匣、近8000发子弹及消音器,现场抓获7名嫌疑人,随后又逮捕5名涉案人员。 目前,案件仍在进一步调查中。

28 Sept 2026, 07:22 UTC4 viewsread 28 September 2026
Photo

#柬埔寨 #泰国 泰国妹收钱不回,回国直接结婚了 这位泰国女人从2025年8月到2026年9月3日,一直跟我住在一起。 5月份我们短暂分开过一段时间,她回了泰国。后来她说已经订好9月6日回柬埔寨的机票,要再跟我在一起,让我给她转35000泰铢。 结果她根本没回来。不但没回来,还在泰国嫁给了另一个男人。 在一起的整段时间,我每个月给她2万到4万5泰铢,日常开销、房租,所有费用都是我出的。现在她把我所有联系方式全屏蔽了。 说清楚,是你先对我无情的,别怪我说话难听。我就是想让大家都看清她的真面目,别再有人被骗。这心里的事,真他妈疼。

28 Sept 2026, 07:16 UTC≈2,950 viewsread 28 September 2026
Photo

#柬埔寨资讯:严密监控诈骗团伙,防止向小型分散地点转移 金边市隆边区区长近日表示,网络诈骗属于跨国犯罪,目前已渗透进柬埔寨,但国家最高领导层绝不容忍此类犯罪活动继续存在。当局正持续开展强力打击行动,并已取得显著成效。 区长表示,近期举行的打击网络诈骗国际会议,也向国际社会展示了柬埔寨根除网络犯罪的坚定决心。 区长指出,随着打击力度持续加大,部分网络诈骗团伙已开始从大型租赁建筑群向外分散,并试图藏匿在规模更小、位置更加零散的场所,以继续从事违法犯罪活动。 因此,作为直接负责的地方主管机构,隆边区当局将持续加强排查,坚决清除试图分散、藏匿的诈骗团伙,并推动柬埔寨向“白色经济”转型。

28 Sept 2026, 06:42 UTC3 viewsread 28 September 2026
Photo

#柬埔寨资讯:“太子集团”金融网络调查扩大 柬埔寨打击网络诈骗委员会秘书处负责人蔡西那烈表示,柬方正在扩大对太子集团金融网络的调查,同时搜集证据,追查大规模网络诈骗活动背后的主脑、共谋者、场所所有者、协助者及保护者。 他指出,无论调查对象是“幕后主脑、共谋者、所有者、协助者还是保护者”,执法机关都必须首先建立完整证据链。国际合作伙伴提供的部分情报,已经帮助柬埔寨当局对一些嫌疑人采取行动。 蔡西那烈同时表示,正在进行的调查不能过早公开具体细节,否则可能导致有关嫌疑人逃跑,因此国际执法情报共享对进一步追查幕后人员至关重要。 值得关注的是,他向路透社透露,柬埔寨当局目前正在扩大针对太子集团相关金融网络的调查。美国此前指控太子集团涉及大规模网络诈骗和洗钱活动。 太子集团创始人兼董事长陈志今年初已被柬埔寨当局逮捕并移交中国。柬埔寨内政部此前通报,陈志与另外两名中国籍人员于1月6日被移交中国,该行动是在柬中两国有关部门经过数月联合…

Showing the 12 most recent of 1,211 posts we hold for @jianpuzhai_xinwen. 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 4 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.

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

“柬埔寨新闻|斑马曝光|cambodia news” (@jianpuzhai_xinwen), 94,085 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/jianpuzhai_xinwen.

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.