#巴基斯坦拉资讯:瓦尔品第:130名马来西亚籍人员涉跨国网络诈骗案,一名中国公民被指协助加密货币套现 10月28日,巴基斯坦媒体报道,国家网络犯罪调查局(NCCIA)针对拉瓦尔品第 Bahria Town 第八期 KASA Tower 一处涉嫌跨国网络诈骗的窝点立案,案件涉及130名马来西亚籍人员。 根据案件材料,涉案团伙涉嫌冒充银行客服及马来西亚警方,通过电话和视频通话谎称受害者银行账户出现异常交易,或涉嫌洗钱,再以刑事指控和法律追责相威胁,迫使受害者转账。 调查人员怀疑,涉案资金通过马来西亚电子支付服务 Touch ’n Go eWallet 等渠道接收,随后被转换为加密货币,以转移和处理相关资金。 此外,案件材料还提及一名居住在伊斯兰堡 D-12 区的中国公民。该人员涉嫌接收相关加密货币,并向涉案人员提供等值巴基斯坦卢比现金。目前,尚无明确消息证实该中国公民是否已被捕,其具体涉案角色仍有待调查。 案件登记信息显示…

Channel
柬埔寨大事件|头条新闻曝光🌏
@JPZ990
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
98,411subscribers
-5,045 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 | -1001725443476 |
|---|---|
| Type | Channel |
| Username | @JPZ990 |
| Description | #柬埔寨 #金三角 #缅甸 #泰国 #迪拜 #菲律宾 #东南亚 #交流群 #吃瓜 #大事件曝光 #头条 频道专注东南亚华人最新资讯 广告投放/投稿爆料: @mo5200 |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 28 October 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 28 October 2026 |
| On Telegram | t.me/JPZ990 |
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 74% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Oct 2026, 15:28 | 98,411 | -481 |
| 27 Oct 2026, 18:39 | 98,892 | -371 |
| 26 Oct 2026, 18:50 | 99,263 | -721 |
| 25 Oct 2026, 16:06 | 99,984 | -257 |
| 24 Oct 2026, 14:04 | 100,241 | -500 |
| 23 Oct 2026, 14:00 | 100,741 | -380 |
| 22 Oct 2026, 13:05 | 101,121 | -698 |
| 21 Oct 2026, 05:07 | 101,819 | -543 |
| 20 Oct 2026, 00:04 | 102,362 | -210 |
| 18 Oct 2026, 22:36 | 102,572 | -676 |
| 18 Oct 2026, 01:08 | 103,248 | -482 |
| 17 Oct 2026, 00:36 | 103,730 | -824 |
| 15 Oct 2026, 21:09 | 104,554 | -317 |
| 14 Oct 2026, 23:27 | 104,871 | -1,405 |
| 13 Oct 2026, 18:57 | 106,276 | -1,464 |
| 10 Oct 2026, 05:58 | 107,740 | +17,787 |
| 6 Oct 2026, 04:40 | 89,953 | -2,959 |
| 30 Sept 2026, 22:22 | 92,912 | +2,744 |
| 18 Sept 2026, 05:37 | 90,168 | -2,816 |
| 16 Sept 2026, 02:37 | 92,984 | first reading |
Engagement
2,198 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 169 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.40%
- avg views ÷ 98,411 subscribers
- Avg views / post
- 1,370
- 713 posts measured
- Reaction rate
- 0.214%
- reactions ÷ views · ER floor
- Posts in window
- 713
- of 2,198 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 587 of 713 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 28 October 2026 |
|---|---|
| Posts held | 2,198 (7 August 2026 – 28 October 2026) |
| Views total | 979,803 |
| Reactions total | 1,721 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 28 Oct 2026, 17:51 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
- ≈51,800
- Videos
- ≈13,500
- Links
- ≈20,300
Lifetime counters from Telegram’s own channel header, read 28 October 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
- 6h 06m
- Average length
- 59s
Measured directly from 371 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
2,273 reactions across 785 posts, in 7 distinct kinds. The most used accounts for 32.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 739 | 32.5% | |
| 🥰 | 726 | 31.9% | |
| ❤ | 707 | 31.1% | |
| 👍 | 42 | 1.85% | |
| 👏 | 30 | 1.32% | |
| 😁 | 17 | 0.748% | |
| 😱 | 12 | 0.528% |
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 789 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 2,273 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 20 September 2026 to 28 October 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
人民日报:柬埔寨、巴基斯坦、肯尼亚采取多种举措努力遏制电信网络诈骗蔓延 近年来,全球多地区电信网络诈骗频发,成为世界公害和全球治理难题。国际刑警组织表示,过去两年间,其成员国上报的电诈案件数量增长55%。电信网络诈骗犯罪呈现高度国际化特征,犯罪分子利用各国法律差异和执法盲区,频繁转移作案地点,严重威胁各国民众财产甚至生命安全。 不久前,国际打击电信网络诈骗联盟在中国江苏连云港正式成立,包括柬埔寨、巴基斯坦、肯尼亚在内的46个创始国共同发布《关于成立国际打击电信网络诈骗联盟的联合声明》,同意共同发起建立一个更聚焦、更专业、更高效、更具行动性的政府间国际组织,共同应对和打击电信网络诈骗及关联犯罪。 柬埔寨—— 强力清剿大型窝点 扩大国际执法合作 柬埔寨政府近日公布打击电诈专项行动最新进展。柬埔寨国务大臣兼打击网络诈骗委员会秘书长柴西纳列向近50名驻柬外交官介绍,经过持续打击,柬埔寨大规模电诈犯罪已得到控制。 近期,柬埔寨在…
西港市场生意冷清,商贩感叹:没什么客人,租金却依然很贵! 10月28日,西港部分商贩晒出上市场的照片,表示如今市场冷冷清清,逛街买东西的人明显比以前少了很多。 据了解,不只是西港,柬埔寨其他省份的不少市场也面临类似情况,客流量减少,生意越来越难做。不少商贩反映,现在生意不好,摊位租金却依然很高,经营压力越来越大。 商贩和当地民众呼吁摊位业主、房东及大楼业主,能够根据目前的经济情况适当降低租金,让做生意的人减轻一些负担。 PS:降低租金也没人了,吸血的国家 🔔 订阅柬埔寨大事件频道↓ ❤️ t.me/+eRHqwUPURuk4ZjJl ✈️ 投稿爆料澄清 :@mo5200
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柬美联合缉毒!戈公省查获近979公斤冰毒,8人被捕! 柬埔寨与美国执法部门联合展开缉毒行动,成功拦截一艘涉嫌从戈公港口向国际水域船只运输毒品的渔船,查获近979公斤冰毒,逮捕8人。 据美国驻柬埔寨大使馆发布的消息,美国缉毒局(DEA)与柬埔寨禁毒警方及戈公省警方合作,成功破获这起毒品运输案件。 美方表示,此次行动阻止了大批毒品流入美国、柬埔寨及其他地区。 美国方面指出,跨国犯罪网络将柬埔寨作为毒品运输的中转地。美国缉毒局将继续支持柬埔寨执法部门,共同打击跨国贩毒网络,维护两国民众的安全与健康。 PS: 饿死胆小的 撑死胆大的 🔔 订阅柬埔寨大事件频道↓ ❤️ t.me/+eRHqwUPURuk4ZjJl ✈️ 投稿爆料澄清 :@mo5200
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巴基斯坦拉合尔三处非法呼叫中心遭突袭,42人被捕,查获67台笔记本电脑 10月28日,巴基斯坦拉合尔,国家网络犯罪调查局(NCCIA)对Garden Town、Gulberg及OPF Society三处涉嫌非法经营的呼叫中心展开突袭行动,共逮捕42名嫌疑人,其中包括11名女性。 初步调查显示,涉案人员涉嫌冒充美国电信公司工作人员,以手机升级、电信套餐及SIM卡相关服务为诱饵,获取包括美国公民在内的境外客户金融信息,并进行未经授权的金融交易。 此次行动中,执法人员共查获67台笔记本电脑、1台台式电脑、50部手机及2套服务器系统。其中,Garden Town逮捕22人,Gulberg逮捕7人,OPF Society逮捕13人。 目前,所有查获设备已被扣押,将接受进一步数字取证。案件仍在调查中,执法部门正进一步核查涉案人员的具体分工、资金交易情况及其他关联人员。 🔔 订阅柬埔寨大事件频道↓ ❤️ t.me/+eRHqwUPU…
《狗推泪》 一步踏错终身错 来当狗推为了生活 狗推也是人 心中的痛苦向谁说 为了盘总的逼迫 颗颗泪水往肚吞落 难道这是命 注定一生靠那键盘活 键盘敲呀敲啊 主管吊呀吊 人格早已丢球鸟 夜夜加班挨吊 新增好难找 谁叫你是一个狗推 🔔 订阅柬埔寨大事件频道↓ ❤️ t.me/+eRHqwUPURuk4ZjJl ✈️ 投稿爆料澄清 :@mo5200
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#非洲资讯:塞拉利昂:弗里敦、凯内马突查疑似跨国网络犯罪网络,18人被捕、约400人被扣留 10月27日报道——塞拉利昂安全部门近日联合国家电信管理局(NaTCA),在首都弗里敦(Freetown)及凯内马(Kenema)展开针对疑似跨国网络犯罪网络的联合突查行动,共逮捕18人,另有约400人被扣留接受调查。 据塞拉利昂媒体报道,此次行动查获大量电子设备及旅行证件,包括1,206部手机、500多台电脑及显示器、301本护照,以及339张SIM卡,其中包括289张国际SIM卡和50张本地SIM卡。 此外,执法人员还查获笔记本电脑、9台中央处理器、5台服务器、iPad、翻译眼镜、智能手表及其他电子设备。 当局表示,被扣留人员包括塞拉利昂本地居民,以及来自非洲和亚洲的外国公民。执法部门目前正进一步调查该网络的具体运作方式、跨国联系、资金来源及幕后组织者。 警方及相关部门将根据调查结果,依法追究涉嫌违法人员的责任。案件仍在调查…
#网友曝光: 罗豪满 ,也称罗家乐 ,广东人 ,人在西港,金边等马来地区工作 ! 此人态度恶略,到处骗人钱财,装B , 就算你装也就装,此人三番两次试图坑众人钱财 车辆等贵重物品,已客户求购以及扮演供货商骗柬埔寨人和韩国人, 给你过无数次机会让你面对进行处理但你依旧选择逃避,到处炫耀自己,那么好, 这个事不能算 , 钱不多,但事不能这样就算。 🔔 订阅柬埔寨大事件频道↓ ❤️ t.me/+eRHqwUPURuk4ZjJl ✈️ 投稿爆料澄清 :@mo5200
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#群友爆料:金边Bkk1区 一个本地公寓 现在警察都是晚上行动了 🔔 订阅柬埔寨大事件频道↓ ❤️ t.me/+eRHqwUPURuk4ZjJl ✈️ 投稿爆料澄清 :@mo5200
#群友投稿:情感避雷,现在回想起来这段经历,只觉得又可笑又心寒。 认识小宝是在将军山那段日子。那段时间的他格外热情,空闲时间就主动找我、约我吃饭聊天,事事体贴入微,温柔又上心。 我傻乎乎地沉溺在这份热情里,当真以为遇见了真诚的人,满心欢喜,以为自己遇到了认真相处的缘分,踏踏实实地动了真心。 可直到后来我才彻底醒悟,这从头到尾的温柔和主动,从来都不是因为喜欢我。 仅仅是因为我之前在他那里赢了钱,他带着目的刻意靠近我,费尽心思对我示好,只为利用我帮他做事、帮他上分。 我最无法释怀的从来不是别的,而是他从头到尾的伪装。如果只是单纯想让我帮忙,大可直白开口。我能接受坦荡的求助,却接受不了这种精心设计的暧昧和套路。 他故意释放好感,制造暧昧氛围,一步步让我投入真心、抱有期待,从头到尾都只是一场带有目的的算计。 最现实的一幕也终究发生了。自从他们搬迁到亚太六号地之后,小宝就彻底变了一个人。 曾经主动黏着我的人,如今消失得干干…
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台湾黑帮在柬埔寨开“茶行”洗钱 台湾警方近日破获一起涉及柬埔寨的跨境洗钱案。一个具有黑帮背景的犯罪团伙,在台湾和柬埔寨两地开设名为“星月茶行”的公司,表面上卖茶叶、做网络营销,实际上却是为非法赌博网站洗钱的地下“水房”。 据台湾媒体10月27日报道,该团伙由一名29岁姓谢的男子主导,另有33岁姓赵的会计等人参与。警方初步查明,仅2025年4月至5月两个月,该团伙经手的洗钱金额就超过5.69亿新台币(约合人民币1.17亿元)。 警方调查发现,为了躲避执法检查,谢某等人将部分洗钱业务转移到柬埔寨,由当地的“水房”人员负责为非法赌博网站操作银行转账。 不过,直接从柬埔寨使用台湾银行的网上银行,容易因为境外IP地址而被银行系统拦截。 为了解决这个问题,团伙利用他人名义,在台湾租下豪宅和公寓,架设VPN网络中转服务器,让柬埔寨的操作人员通过台湾的网络节点登录银行账户,掩盖实际操作地点。 台湾警方从2025年5月开始调查,并于今年3…
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缅甸战火波及泰国,湄索200多名居民上街抗议,泰军警告:遭蓄意攻击将反击 10月27日,泰国达府湄索县200多名居民举行抗议,要求政府保护边境安全。由于缅甸境内持续发生战斗,流弹和重型武器炮弹多次落入泰国边境村庄,造成房屋受损、居民受伤,当地民众担心战火进一步蔓延。 抗议居民要求政府赔偿受损民众、建立长期避难场所、安装战事预警系统,并采取措施防止战火越境,同时要求限制边境地区的泰军兵力。 面对居民的担忧,泰国边境部队表示,如果缅甸方向的子弹落入泰国境内,将首先向开火方向发射烟雾弹警告;若确认有人蓄意攻击泰国民众及其财产,泰军将采取反制措施。 当天,湄索县行政长官已接收居民提交的请愿书,并将转交相关政府部门处理。 🔔 订阅柬埔寨大事件频道↓ ❤️ t.me/+eRHqwUPURuk4ZjJl ✈️ 投稿爆料澄清 :@mo5200
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Showing the 12 most recent of 2,198 posts we hold for @JPZ990. 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 edited after publishing
@JPZ990 edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 20 October 2026
- Most recent edit
- 20 October 2026
Mentions
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
@y3guojicheng · 18,5681,339 posts2028体育综合台官方频道
@pg2028ty · 24,5091,224 posts182体育官方频道
@ty182svip · 16,58949 postsN1国际官方频道
@n1svip · 19,96442 posts8K国际官方
@PG8K8K · 3,41217 posts2028122.COM- 2028体育官方频道
@pg115 · 15,8786 postsSOSO搜搜
@sooo · 471,2203 posts东南亚大事件🦋
@bx600 · 93,8382 posts海外大事件(猎奇-吃瓜)
@aa144 · 34,9071 post东南亚大事件 @svip
@bx666 · 462,9001 postSOSO搜搜🔞
@SosoCnBot · 245,2241 postSOSO搜搜
@sososo · 576,4211 postSpam Info Bot
@SpamBot · 35,088,3031 post头条事件
@toutiaoshijian · 67,1881 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@JPZ990 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 21 September 2026 – 21 September 2026 · confirmed gone 27 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@bx666 · 462,900#1
@tx100 · 149,917#2
@MB_149 · 125,986#3
@jpz0123 · 51,543#4
@ab100 · 128,752#5
@jpz887 · 440#6
@ow333 · 52,771#7
@jpz9118 · 82,248#8
@toutiaoshijian · 67,188#9
@dubai0 · 90,575#10
@svip40 · 125,937#11
@SB919 · 120,016#12
@dnydxw · 48,947#13
@MGHDSJ · 13,758#14
@toutiao_4 · 1,115#15
@dny099 · 143,650#16
@DNY0027 · 2,677#17
@DNYTT888 · 464#18
@dny88 · 58,125#19
@ZLSjpz · 754#20
@dnyggg · 41,543#21
@dongnanyaYYY · 8,234#22
@jpz_888 · 12,325#23
@aa144 · 34,907#24
@dnyxwtt · 51,294#25
@jianpuzhaihuarenzixun · 75,854#26
@dnyblcg · 1,505#27
@xigang13 · 59,765#28
@bominwang18 · 4,568#29
@DNY181 · 41,008#30
@cn789 · 20,009#31
@duanzisp · 1,521#32
@pp666 · 196,508#33
@dnyuuu88 · 127,970#34
@mianbeitongjiling · 28,927#35
@ygxw3 · 147,084#36
@feilongwang · 74,594#37
@chigua_08 · 81,590#38
@pyzcn · 218,300#39
@tp111 · 49,743#40
@fdtcnews · 540#41
@jialong159 · 1,147#42
@BG2288 · 125,292#43
Read from Telegram’s recommendation API, most recently 15 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@jpz0123 · 51,543
Telegram ranks this channel #28 of 69 here — alongside 68 others — read 24 August 2026
@ow333 · 52,771
Telegram ranks this channel #37 of 70 here — alongside 69 others — read 19 August 2026
@jpz9118 · 82,248
Telegram ranks this channel #53 of 79 here — alongside 78 others — read 14 August 2026
@dnyxwtt · 51,294
Telegram ranks this channel #56 of 79 here — alongside 78 others — read 24 August 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 28 October 2026 — this entry's latest reading, not the date you are reading this.
“柬埔寨大事件|头条新闻曝光🌏” (@JPZ990), 98,411 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/JPZ990.
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.