#群友今天凌晨马来西亚柔佛新山,扫黄抓了两车小姐,又一批女朋友没了
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Channel
@pianzi1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
53,362subscribers
-727 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001649988714 |
|---|---|
| Type | Channel |
| Username | @pianzi1 |
| Description | #曝光骗子 #全网曝光 #东南亚 #曝光黑台 曝光骗子,黑平台,黑公司,黑商家,悬赏,寻人,等等,曝光请联系 商务投稿: @vipxigua |
| 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 | 26 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 26 September 2026 |
| On Telegram | t.me/pianzi1 |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Sept 2026, 15:59 | 53,362 | +104 |
| 19 Sept 2026, 14:39 | 53,258 | -340 |
| 17 Sept 2026, 05:42 | 53,598 | -1,023 |
| 15 Sept 2026, 04:39 | 54,621 | -80 |
| 13 Sept 2026, 16:39 | 54,701 | -133 |
| 12 Sept 2026, 00:21 | 54,834 | -201 |
| 9 Sept 2026, 18:20 | 55,035 | -523 |
| 6 Sept 2026, 12:17 | 55,558 | -158 |
| 4 Sept 2026, 04:56 | 55,716 | -130 |
| 2 Sept 2026, 16:38 | 55,846 | -142 |
| 1 Sept 2026, 12:44 | 55,988 | -170 |
| 31 Aug 2026, 13:55 | 56,158 | -183 |
| 30 Aug 2026, 10:23 | 56,341 | -93 |
| 29 Aug 2026, 06:53 | 56,434 | -61 |
| 28 Aug 2026, 04:56 | 56,495 | -65 |
| 27 Aug 2026, 03:17 | 56,560 | -53 |
| 26 Aug 2026, 03:22 | 56,613 | -125 |
| 25 Aug 2026, 05:53 | 56,738 | -146 |
| 24 Aug 2026, 07:44 | 56,884 | -198 |
| 22 Aug 2026, 15:55 | 57,082 | first reading |
1,152 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 108 pages of Telegram’s post history, 20 posts per page.
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 479 of 525 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 September 2026 |
|---|---|
| Posts held | 1,152 (7 August 2026 – 29 September 2026) |
| Views total | 1,256,837 |
| Reactions total | 26,520 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Sept 2026, 05:37 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.
Lifetime counters from Telegram’s own channel header, read 29 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.
Measured directly from 252 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.
43,387 reactions across 775 posts, in 11 distinct kinds. The most used accounts for 20.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 8,801 | 20.3% | |
| ❤ | 8,717 | 20.1% | |
| 👍 | 8,679 | 20.0% | |
| 🔥 | 8,555 | 19.7% | |
| 🎉 | 8,553 | 19.7% | |
| 👏 | 25 | 0.058% | |
| 🥰 | 25 | 0.058% | |
| 🤩 | 14 | 0.032% | |
| ⚡ | 13 | 0.03% | |
| 👀 | 4 | 0.009% | |
| 💯 | 1 | 0.002% |
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 775 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 43,387 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 13 August 2026 to 29 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.
#群友今天凌晨马来西亚柔佛新山,扫黄抓了两车小姐,又一批女朋友没了
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DKBA保护下诈骗园区仍被指使用泰国光纤网络 据消息,位于缅甸克伦邦泰缅边境当仁河附近、由DKBA控制的部分网络诈骗园区,近期仍通过泰国一侧接入光纤网络使用互联网。 消息称,一条光纤线路从DKBA总部所在的松塞棉村附近瓦米代村一带,连接至泰国一侧,为当地园区提供网络服务。据称,该线路目前已持续使用约一个多月。相关园区网络连接情况及具体运营方身份,目前尚待进一步核实。
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#马来西亚资讯:遣返333名外国被拘留者 9月28日,马来西亚移民局发布消息称,柔佛州Nenas移民拘留中心于9月第四周集中遣返333名外国被拘留人员。 据通报,此次被遣返人员包括:缅甸125人、印尼150人、印度21人、孟加拉国13人、巴基斯坦12人、中国8人、斯里兰卡3人、尼日利亚1人。 上述人员分别通过吉隆坡国际机场(KLIA 1、KLIA 2)以及Pasir Gudang渡轮码头被遣返回各自国家。 马来西亚移民局表示,此次遣返相关费用主要由被遣返人员个人积蓄或家属承担,部分费用则由相关国家驻马来西亚大使馆承担。 移民局同时指出,所有被遣返人员均被列入入境黑名单,并在规定期限内禁止再次入境马来西亚。
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“七星海乡长”涉诈案牵出2.5亿美金大盘总 昨天,柬埔寨反贪局(ACU)通报“七星海乡长”涉诈案更多细节,揭露网诈团伙利用加密货币与第三方兑换商规避监管、洗钱及支付贿赂。 在这起案件中,国公省基里沙哥县普雷克萨奇乡乡长廉伦提供庇护的中国籍涉诈头目,真实姓名为张建强(Zhang Jian Qiang,又名蔡友源)。经柬反贪局调查,张建强拥有十余个加密账户,其主钱包(OKX Hot Wallet 8)存放资金高达2.506亿美元。 调查发现,张建强主要通过金边一名为Lay Sokong的25岁柬埔寨男子进行换汇和洗钱,将USDT兑换为美元或人民币,再经Lay Sokong的正规银行账户转账支付项目开支、员工工资及贿赂官员,其中就包括给七星海乡长廉伦、德崇国际机场移民局警察裴勇平支付贿赂款。 柬反贪局指出,张建强诈骗团伙将90%的诈骗所得转移至境外加密钱包,真正留在柬埔寨境内的资金仅数万美元。 关于七星海的这一案件,自乡长廉…
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9月28日,彭博社引述知情人士报道,中国税务部门已组建特别小组,追踪富豪并向其征税,部分小组甚至专门针对一名亿万富翁。 ps:所以很多人在国内赚了大钱却要移民其他国家生活
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#小姐姐由于本人深受打击和影响,婚内出轨、证据确凿 我老公去柬埔寨出差与一盘口的财务越南已婚女人,有老公孩子还跟我老公在一起,每天私信发很多照片每天视频电话,一直骚扰。严重影响我的情绪!我实在没有办法,第一次发这种帖子。
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#群友乐鑫集团阿乐返场:兄弟当表弟,员工当商品,如今众叛亲离,人人喊打 兄弟们,依旧是老牌英雄强势回归。曾经臭名昭著的波贝乐鑫集团老板“阿乐”,限时返场。自诩产业遍布波贝,关系手眼通天,恨不得把大事件当朋友圈发的“波贝王”,如今终于落得这般境地。 应曾经在乐鑫集团遭受非人虐待的众多推推要求,也结合个人的亲身经历,今天就来说说:所谓的“波贝王”,为何会走到众叛亲离这一步。是你一手造就了这最后的结局,你应该感到开心才对。可为什么,你脸上已经很久没出现笑容了? 阿乐,江西吉安人,原名宋斌,最显著的特征是右手小臂残缺。从2024年开始,他便在东南亚大事件被频繁曝光,直至今日。从骗招、抢劫其他园区,到买卖人口、绑架勒索,再到建立园区、组织电诈,他手里是一条完整的血腥产业链。 漠视他人生命,蔑视龙国警方。园区内体罚、电棍日日不断,以至于在众多推推心中,体罚反而成了最幸福的惩罚。今天被打、过两天消失的例子,后来大家竟也觉得稀松平常。毕…
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#群友泰富公司,日本股票盘。 公司之前在财通金运2,后面搬到72号,去年年底又搬到波贝恒泰园区,后面扫荡我们就一直跟随公司搬家,前前后后一共搬了四次。现在项目做完两个多月了,公司不结算工资。 这是几个负责人:《姓邓的,姓吕的,姓张的》。这次只发飞机号,10月1号之前不结算,护照、本人照片,直接飞回国内。 大家都是出来求财、跑江湖的。一点点钱,又不多。老板们看到了,就结算一下咯。
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东南亚骗子曝光吧 pinned a video
#付费广告 2028国际 #电子大水 ❗️巨额出款无忧❗️❗️ 东南亚最大线上博彩平台👍👍👍👍 #东南亚顶级高爆电子台!😀😳😳😀😳😳😀😳😳😀😳😳 😀😳😳 😀😀😀😀 👌👌👌 平台支持USDT存取款,不限iP提款无上限,PG电子单注最高可拉2万一注 #PG电子单注最高爆奖可赢4000万+超级大奖! 2028娱乐发财网址: 2028a.vip 😍再创新高: 3.10日PG麻将胡了2万一拉 进关爆出1933万 💥 😍巨奖来袭: 3.9日PG麻将胡了2万一拉 爆出巨奖3400万💥 😍天选之子: 3.05日PG麻将胡了2万一拉喜提爆分1428万💥 😍电子大水: 3.01日PG麻将糊了 2万一拉进关爆分1031万💥 😍更多高光爆奖时刻请查看: 2028官方频道 重要的事说三遍:出款绝不卡款 绝不卡款 绝不卡款❗️❗️ U存U提 每日提款不限额度!随便提 欢迎各位盘总🔴主管🔴精英狗推🔴血战狗庄❗️❗️ 福利频道: @PG2098 客
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#群友反馈:缅甸很多地方直接断网了??目前只能使用星链上网。
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#群友想必大家对西港的“金贝3”都有所耳闻。 从当初号称上千人的集团,到经历柬埔寨扫荡、一次次搬家,再到停工整顿半年,如今又搬到了伊斯兰堡。 而我,作为曾经公司的管理人员,在这里兢兢业业这么多年,该做的做了,该扛的扛了,该熬的夜也熬了。可如今,因为一些所谓的“小事”让我离开,我无话可说。 不是因为我认同,而是这么多年过去,我终于明白了:一个让人拼尽全力付出,却最终连留下来的念头都没有的地方,到底是谁出了问题? 公司天天喊着“以人为本”,给自己贴“正规公司”的标签。可真正落到下面呢? 业务员、组长、主管,各个层级的点位说砍就砍,甚至拦腰砍一半。公司受到外部环境影响,要压缩成本,我理解。但既然要学正规公司,那就把正规公司的样子做出来。 天天讲绩效,实际上就是变着方法压员工工资;天天讲规矩,却不讲员工最基本的休息。既然是正规公司,为什么不能朝九晚五?为什么来了几个月,所谓周末休息有时候只剩两三个小时? 人是出来赚钱的,不是…
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Showing the 12 most recent of 1,152 posts we hold for @pianzi1. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
Read from Telegram’s recommendation API, most recently 23 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.
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.
This channel appears in 19 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 26 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚骗子曝光吧” (@pianzi1), 53,362 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/pianzi1.
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.