#网友投稿:金三角特区金元宝3栋“华星公寓”,刚刚老挝警察和中国警察联合执法,直接冲进公寓开展精准抓捕,附近的兄弟都注意一下! 更新报道:华星公寓抓走了两个人,应该是带着名单来抓人。 订阅频道😒 @dny_xinwenbaoguang 投稿 @xiaomo8880
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Channel
@dny_xinwenbaoguang
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
22,832subscribers
-120,599 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003737405883 |
|---|---|
| Type | Channel |
| Username | @dny_xinwenbaoguang |
| Description | 🌍 涵盖 #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 #迪拜 #斯里兰卡 #越南 东南亚大事件频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 曝光及商务合作~ @xiaomo8880 |
| Created | Between 1 February 2026 and 31 July 2026 — 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 | 32 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/dny_xinwenbaoguang |
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 9 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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, 11:59 | 22,832 | +12,009 |
| 16 Sept 2026, 06:55 | 10,823 | -71 |
| 14 Sept 2026, 14:39 | 10,894 | -122 |
| 13 Sept 2026, 00:40 | 11,016 | -331 |
| 10 Sept 2026, 23:37 | 11,347 | -361 |
| 7 Sept 2026, 20:39 | 11,708 | -980 |
| 4 Sept 2026, 17:17 | 12,688 | -145 |
| 3 Sept 2026, 01:37 | 12,833 | -73 |
| 2 Sept 2026, 00:42 | 12,906 | -70 |
| 31 Aug 2026, 23:18 | 12,976 | -52 |
| 31 Aug 2026, 01:44 | 13,028 | -52 |
| 30 Aug 2026, 04:12 | 13,080 | -184 |
| 29 Aug 2026, 02:46 | 13,264 | -6,714 |
| 28 Aug 2026, 01:14 | 19,978 | -6,189 |
| 27 Aug 2026, 01:58 | 26,167 | -3,763 |
| 26 Aug 2026, 02:54 | 29,930 | -16,661 |
| 25 Aug 2026, 04:25 | 46,591 | +500 |
| 24 Aug 2026, 00:45 | 46,091 | -4,427 |
| 22 Aug 2026, 05:26 | 50,518 | -5,578 |
| 20 Aug 2026, 18:08 | 56,096 | first reading |
564 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 58 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 133 of 137 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 27 September 2026 |
|---|---|
| Posts held | 564 (7 August 2026 – 27 September 2026) |
| Views total | 405,229 |
| Reactions total | 2,192 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 02:02 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 27 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 212 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.
9,029 reactions across 517 posts, in 24 distinct kinds. The most used accounts for 16.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 1,492 | 16.5% | |
| 🎉 | 1,470 | 16.3% | |
| 💯 | 959 | 10.6% | |
| 🥰 | 946 | 10.5% | |
| ❤🔥 | 927 | 10.3% | |
| 👍 | 814 | 9.02% | |
| ❤ | 801 | 8.87% | |
| 🤩 | 771 | 8.54% | |
| 😁 | 543 | 6.01% | |
| 😍 | 280 | 3.10% | |
| 👏 | 11 | 0.122% | |
| 🤨 | 2 | 0.022% | |
| 🤯 | 2 | 0.022% | |
| ✍ | 1 | 0.011% | |
| 🆒 | 1 | 0.011% | |
| 🌭 | 1 | 0.011% | |
| 🎄 | 1 | 0.011% | |
| 💅 | 1 | 0.011% | |
| 💘 | 1 | 0.011% | |
| 😭 | 1 | 0.011% | |
| 4 further kinds | 4 | 0.044% |
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 517 of the 564 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 9,029 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 564 most recent posts we hold, published 7 August 2026 to 27 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.
#网友投稿:金三角特区金元宝3栋“华星公寓”,刚刚老挝警察和中国警察联合执法,直接冲进公寓开展精准抓捕,附近的兄弟都注意一下! 更新报道:华星公寓抓走了两个人,应该是带着名单来抓人。 订阅频道😒 @dny_xinwenbaoguang 投稿 @xiaomo8880
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#网友投稿:最近看到不少人在讨论:持港澳通行证进入香港后,再拿护照乘飞机前往第三国,会不会被限制出境? 其实很多争议,是把航空公司查验证件和香港出境检查混在了一起。 如果是持港澳通行证合法进入香港,之后从香港机场乘国际航班前往第三国,办理值机、登机及相关手续时,航空公司通常会根据目的地要求查验护照、签证及机票; 而办理香港出境手续时,则应使用与入境记录相对应的旅行证件,也就是入境香港时使用的港澳通行证。 简单来说就是:通行证负责香港的入境、出境记录;护照主要用于国际航班及目的地入境手续。 订阅频道😒 @dny_xinwenbaoguang 投稿 @xiaomo8880
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#网友投稿:波哥山华人酒店前后都是警察 ,有在附近多注意一下。 订阅频道😒 @dny_xinwenbaoguang 投稿 @xiaomo8880
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【2028体育】TG全网最大信誉平台 玩家首选 🇺🇸🇻🇳🇷🇪🇻🇪🇺🇸🇻🇳⚡⚡⚡⚡⚡⚡⚡ 全网每月投流费用高达千万😃 #2028体育 无处不在 ⚡⚡免实名 专属网址: 2028924.com ⚡️8K国际U台 8k2920.com 福利好超高爆率! #大户首选 支持vip等级平移 支持USDT👌微信👌支付宝 K豆等100多种钱包! 😀😀😀😀😀😀😀😀😀 🌈🌈🌈🌈🌈🌈🌈🌈🌈🌈 首存送 复存送 投注送 豪车嫩模! 电子黄金周 周一至周日福利拿不停! 单笔出款奖励最高⚡😍😍😍😍😍 以小博大 PP电子 极速糖果1000 爆出12103倍💥 百家乐战神 真人收割机 大佬一天收割2000万💥 气运之子 PP电子 麻将大胜 100元爆25000倍250万💥 PG战神 独创奇迹大佬麻将胡了1 两万一拉爆了3400万💥 😘2028体育欢迎各大老板盘总娱乐 #东南亚超高爆率电子人民币台 PG电子单注可拉2万一转 百家乐单注…
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#小姐姐投稿:别人谈恋爱讲究的是感觉,我谈恋爱讲究的是现实。 在搞对象和搞钱之间,我认真研究了一下,最后决定:对象可以慢慢搞,钱还是得先搞。 毕竟爱情不会主动给我发工资,月底房租也不会因为我深情就打个折。 看电视剧《插翅难逃》这类港片,多少有点学到张世豪那股劲儿。人家想的是怎么搞大事,我想的是怎么把自己的日子过明白。 人可以有野心,但不能光有野心,银行卡余额才是最诚实的观众。 尤其是干狗推这一行,天天面对的不是诗和远方,是业绩、客户、工资和月底的生活费。别人晚上失眠是因为对象不回消息,我失眠是因为客户不回消息。一个是情感问题,一个是收入问题,怎么选其实已经很明显了。 当然,我也不是不相信爱情,只是现在的我比较现实。年轻的时候可以为爱情冲动,到了这个年纪,至少得先让自己有点底气。 没钱的时候,连说一句“我养你”都像是在给自己挖坑,最后可能不是养对象,是对象养成了前任。 所以现在的我想得很简单:先搞钱,再谈爱;先把自…
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#网友投稿:国内灰产五大地域派系 很多人不知道,国内黑灰产早已不是零散作案,而是地域化派系运营,各地区抱团合作,形成完整灰色产业链。 福建帮,跨境诈骗龙头。 主打杀猪盘、网络赌博、虚拟币洗钱、跨境资金转移。以家族化、境外化为核心,高层大多定居海外远程操控,闽南语成为专属加密沟通语言,隐蔽性极强,是跨境黑产的核心势力。 河南派系,轻资产薅羊毛专业户。 走快进快出模式,轻资产高频作案。医保套现、电商刷单、好评返现、黑五类推广、国补套现都是主流项目。依靠矩阵引流快速套利,频繁换壳躲避严查,反复死灰复燃。 广东派系,地下钱庄金融霸主。 掌控黑产资金命脉,深耕地下钱庄、资金结算、POS机套现、贷款诈骗。跨境资金链路成熟,近年群控、爬虫、批量工具泛滥,全程为黑灰产提供资金洗白服务。 湖北派系,黑产幕后技术大佬。 高学历技术团队,不直接参与诈骗,只做技术外包。依托高校资源,开发钓鱼网站、诈骗APP、群控脚本、非法数据查询、违…
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#网友投稿:入境泰国的真实反馈,海关问什么 第一问:现金 第二问:酒店 第三问:离泰机票 第四问:去哪里玩,至少说3个以上的地名 第五问:做什么工作,怎么证明 海关问问题是不会给你缓冲的,哪个问题答不上就让你去小黑屋。 温馨提示:千万不要找保关,这种属于机场灰产链条,这里有一个弊很多人都没有说出来,只要你保过一次你的护照在泰国各大机场就有记录,下次不管你用什么签证只要入境泰国都要保,相当于你已经自动变成长期客户。如果你不保在入境的时候工作人员的电脑会有弹窗也能查到记录,然后找个借口带你去办公室。 还有一点需要保关的人他心里清楚,自己是什么德行,正常人根本不需要。 盘问的问题也是取决于你最近1年之内入境泰国的次数,普通游客,半年去一次,1年去1-2次不用担心,盘问很少,有的航班不问。 订阅频道😒 @dny_xinwenbaoguang 投稿 @xiaomo8880
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#网友投稿:太子集团某大哥在加拿大被绑架了一个多月,付了3000W赎金放出来了,据说这名大哥姓dai 订阅频道😒 @dny_xinwenbaoguang 投稿 @xiaomo8880
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听过结婚一毛不剩的,没听过洗脚、按摩、商K把自己整到倾家荡产的。 在东南亚混久了才发现,真正能让你破产的,可能不是结婚,而是那句——“今晚放松一下,哥安排。” 白天公司里谈业绩,晚上扶手一坐,嘴里喊着“最后一场”,手机余额却在一场一场地消失。 刚开始:消费是为了缓解压力。后来:没钱了就更想消费。再后来:工资还没发,扶手已经坐熟了。 别人来东南亚是想赚点钱,咱们倒好,工资负责进账,扶手负责清零。 以前总觉得“上岸”是离开园区,后来才明白,人坐在扶手上,钱已经先上岸了。 东南亚最可怕的不是工资低,是你辛辛苦苦赚一个月,几个晚上就给消费明白了。 订阅频道😒 @dny_xinwenbaoguang 投稿 @xiaomo8880
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Showing the 12 most recent of 564 posts we hold for @dny_xinwenbaoguang. 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 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.
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.
@dny_xinwenbaoguang 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.
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.
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.
“东南亚-柬埔寨曝光大事件” (@dny_xinwenbaoguang), 22,832 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/dny_xinwenbaoguang.
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.