#网友提醒:昨晚伊斯兰堡G区有盘口遇到老巴黑吃黑,一个穿警察制服的带四五个老巴翻墙进公司,态度强硬,开口就要钱要设备,最后带走了几十万卢比和电脑,人没被抓。 包括前段时间中国人绑架事件也是一样里应外合,各位务必谨慎用人,特别是保安保洁这些人。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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Channel
@xinwen811
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Telegram's recommendations · Cite this entry
207,543subscribers
-437 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001812714663 |
|---|---|
| Type | Channel |
| Usernames | @dny1111 @mbsss @xinwen811 |
| Description | #菲律宾 #柬埔寨 #缅北 #迪拜 #吃瓜 热门曝光、吃瓜、新闻频道,关注不迷路 爆料商务: @pige 东南亚交流: @A0123 柬埔寨交流: @cdcdd |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 84 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xinwen811 |
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 8 August 2026 and assigned it the closest of 31 fixed categories, at 59% 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 |
|---|---|---|
| 18 Sept 2026, 22:41 | 207,543 | -337 |
| 17 Sept 2026, 13:39 | 207,880 | +695 |
| 17 Sept 2026, 05:59 | 207,185 | +1,155 |
| 16 Sept 2026, 16:38 | 206,030 | -1,987 |
| 15 Sept 2026, 10:19 | 208,017 | -51 |
| 15 Sept 2026, 04:37 | 208,068 | -53 |
| 14 Sept 2026, 17:57 | 208,121 | -201 |
| 13 Sept 2026, 21:57 | 208,322 | -109 |
| 13 Sept 2026, 11:18 | 208,431 | -80 |
| 13 Sept 2026, 04:37 | 208,511 | -425 |
| 12 Sept 2026, 02:19 | 208,936 | -108 |
| 11 Sept 2026, 18:15 | 209,044 | -299 |
| 11 Sept 2026, 06:17 | 209,343 | -724 |
| 9 Sept 2026, 17:41 | 210,067 | -1,187 |
| 9 Sept 2026, 02:00 | 211,254 | -214 |
| 8 Sept 2026, 06:36 | 211,468 | -736 |
| 6 Sept 2026, 08:20 | 212,204 | -195 |
| 5 Sept 2026, 18:01 | 212,399 | -227 |
| 5 Sept 2026, 01:22 | 212,626 | -319 |
| 4 Sept 2026, 00:21 | 212,945 | first reading |
1,343 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 100 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 502 of 561 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 24 September 2026 |
|---|---|
| Posts held | 1,343 (7 August 2026 – 24 September 2026) |
| Views total | 2,619,951 |
| Reactions total | 17,418 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 24 Sept 2026, 07:39 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 24 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 301 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.
21,869 reactions across 636 posts, in 4 distinct kinds. The most used accounts for 33.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 7,325 | 33.5% | |
| ❤ | 7,248 | 33.1% | |
| 😁 | 7,226 | 33.0% | |
| 👏 | 70 | 0.32% |
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 638 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 21,869 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 19 August 2026 to 24 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 19 August 2026 to 24 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
#网友提醒:昨晚伊斯兰堡G区有盘口遇到老巴黑吃黑,一个穿警察制服的带四五个老巴翻墙进公司,态度强硬,开口就要钱要设备,最后带走了几十万卢比和电脑,人没被抓。 包括前段时间中国人绑架事件也是一样里应外合,各位务必谨慎用人,特别是保安保洁这些人。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
🔥14😁11❤10
#网友投稿 带亲妹赚钱赚进了号子里 二五年十月份在金边开始慢慢退居做盘的一线队伍,后而跟着两个老乡一起合租干起来了虚拟币洗钱这一块的业务。 我们的上家盘口公司都是做色敲的,其中有一家公司就是我之前在金边待过的色敲公司。因为跟这家公司的高层很熟到现在九月份这家公司的大多数洗钱单子都还是交给我们来做。 现在这家公司也搬出了危险重重的金边到外省山里去办公了,至于我们这些不需要躲在房子里用电脑办公只要用手机操作,零零散散的人才敢继续待在金边不怕查。做色敲洗钱我们都是引导客户用微信扫码付款来买虚拟币不仅仅只是买U还有其他的币种。在国内几乎每个人都会用到微信扫码付款而且看不到付款人的真实姓名这点比支付宝更利于洗钱。 虽然每一次只能扫码付款几百到万把块钱不等,但受敲诈勒索的国内客户还是太多。客户多到每个月我们在各大交易所平台找买虚拟币的商家都要干死他们几百个上千个各类收款码。做的时间久了商家们防范意识也越来越高,变成现在很多跟我们合作…
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#台湾新闻 员工猝死意外挖出201亿跨境洗钱集团:勾连中国大陆人员,30人被起诉 9月23日,台湾台中地方检察署公布一起跨境洗钱案。案件起于今年1月19日一名公司员工死亡,检察官检查死者手机时发现大量“银行卡”“USDT”等异常聊天内容,顺藤摸瓜挖出一个洗钱金额超过201亿新台币的跨境集团。 检方查出,张姓负责人等人与中国大陆地区人员共谋,以慧鑫科技、序禾行销两家公司作掩护,在台中招募员工经营NOW PAY、X PAY两个平台,替境外集团处理虚拟货币交易和资金流转。 集团还搭建假的“宝可梦NFT”“魔戒游戏”等网站,为币商包装交易流程,掩盖真实资金用途,并通过多层转账隐藏资金去向。 其中,NOW PAY涉嫌洗钱约163.14亿新台币,X PAY约38.15亿新台币,合计约201.28亿新台币,集团获利约3.15亿新台币。 5月27日至8月17日,专案组先后发动5波搜索,查扣手机、电脑和现金等证物,张姓负责人被羁押禁见。…
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#网友爆料: 黑心老板 鲍主席.位置:16.85046° N, 98.33471° E 位于蒂拉克(Thaketa)B6-1栋大楼的那家公司,是一家外资企业,但老实说,整个情况简直荒唐可笑。 老板声称自己甚至连按时发工资的钱都没有,有些员工已经好几个月没拿到薪水了。然而,不知为何,他却有钱买昂贵的香烟、享用美酒佳肴。说真的,这怎么讲得通?你可以把钱花在自己身上,却突然拿不出那一小笔钱来支付那些日夜为你工作的员工? 我亲眼目睹了这种状况,这完全令人无法接受。如果你连员工的工资都付不起,那就别开公司来浪费大家的时间。 工人们不是在做义工,他们有账单要付、有家人要养。如果你指望别人为你卖力工作,那你最起码应该按时付清欠他们的工资。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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#网友提醒:近期马来不少盘口面临检查,有些盘口已经通知停工了。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
❤15😁14🔥11👏2
#国内新闻:涉案金额超60亿 公安机关打掉一跨国民族资产解冻类诈骗团伙 中国公安部9月23日通报:今年7月以来,在公安部指挥下,吉林公安机关打掉一个跨国民族资产解冻类诈骗团伙,在境内抓获犯罪嫌疑人101名。同时,与老挝、新加坡、柬埔寨警方开展国际执法合作,3国警方共抓获犯罪嫌疑人156名。近日,相关犯罪嫌疑人被陆续押解回国。 今年1月,吉林公安机关研判发现一个实施跨国民族资产解冻类诈骗的犯罪团伙。该团伙编造“复兴汇金”“养老行动”“中国强农”“民生保障”“中国圆梦”等虚假“国家项目”,雇佣技术团队开发涉诈App,通过网络平台“引流”发展会员,长期对老年群体实施诈骗活动,受骗人数众多,涉案金额超60亿元。 在公安部统筹指挥下,吉林公安机关通过缜密侦查,初步查清该团伙窝点位置和人员情况。 7月28日,通过开展执法合作,老挝警方在万象抓获犯罪嫌疑人110名。与此同时,公安部部署在多地开展集中收网,捣毁诈骗窝点9个,抓获犯罪嫌疑…
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#老挝新闻:警方一举捣毁5处涉案窝点 万象再抓获33名中国籍嫌疑人 老挝媒体报道:9月21日至22日,老挝公安部专项打击工作组在万象市西萨塔纳县开展集中收网行动,一举捣毁5处涉网络诈骗、网络赌博窝点,抓获33名涉案人员。 9月21日,警方率先突击西萨塔纳县东萨瓦村一处两层别墅,捣毁涉案窝点,当场抓获26名中国籍涉案人员。其中22名为中国大陆籍(含2名女性)、4名为中国台湾地区人员,警方在现场查获手机、电脑等大量作案设备。 9月22日,警方乘势扩大战果,继续在西萨塔纳县辖区内,对另外4处分散的涉案窝点开展清查,分别为赛隆恩旅馆、拉特萨米酒店、蓬提普广场公寓、提拜万丹公寓,系列行动中再抓获7名嫌疑人,均为中国大陆籍。 目前,33名涉案人员已全部到案受审,案件正在进一步侦办中。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
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#网友投稿:我们公司回菲4个月了,一切顺利 兜兜转转去第三国两年,前几个月又回菲律宾来了。菲律宾还是熟悉的味道。不是居家办公啊,在大楼办公。关系都打点好了,一点问题没有。 菲律宾现在风向变了,只要给保护费,在大楼办公真的很安全。这个大楼现在不止我们一家公司,我知道的最少还有6家。 毕竟菲律宾也需要经济复苏,前两年收割的太狠了。未来一年到小马下台前,应该都是没问题的。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
❤15😁14🔥9
#西港快讯:蓝海的九楼楼梯间和后门现在都有宪兵值守,目前已经抓了两个人到大厅了,各位注意安全 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
🔥19😁16❤9
#网友爆料:柬埔寨西港,海悦23楼SK体育,明着黑钱。 联系内部处理,直接说无法处理,光明正大黑钱,让我背锅,证据都没有,随便找两个人指认,说我转移会员,黑我们工资,你也说的出口,SUKA。 当事人都跟说了,转移会员这件事我没参与,你这是要明着黑我,钱也是牛逼。现在被脖子收购了,这个组之前是SK直播。有入职在他下面做事的,赶紧跑路吧。 🔔 点击订阅缅北通缉令频道 👉 t.me/+bO3VCrsaPyU0MzI1 ☎️ 投稿爆料联系: @pige
❤12😁12🔥9
缅北悬赏通缉令(曝光) pinned a video
😀😀😀😀😀😀😀😀😀😀😀😀😀 ⚡全球U存U取最稳平台极速结算秒到账 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀 😀 新人免费红包8888U 😀 实时返水5.0%秒到账 😀 每日神秘彩金8888U 😀 每月21日领现金回馈 😀 加倍奖励100%无上限 😀强者恒强,全球精英玩家的唯一首选 😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀😀😀😀😀😀😀😀😀😀 😀😀😀😀 : @UUSS 😀😀😀😀 : @UUSS1 😀😀😀😀 : @UUSS2 😀😀😀😀 : @UUSS5 😀😀😀😀 : USDT.VIP
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Showing the 12 most recent of 1,343 posts we hold for @xinwen811. 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.
Named by 3 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.
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 11 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 92 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“缅北悬赏通缉令(曝光)” (@xinwen811), 207,543 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xinwen811.
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.