#柬埔寨 #新币 #网友投稿 隔空喊话我的“新币”CEO——超哥 【人在做,天在看。】 我不想成为你的敌人。 我只是想拿回属于我的东西。 一个曾经真正把你当成大哥的人 一、百思不得其解 我们几个人在家里该交的罚款交了。白菜粉条也吃完了。我日思夜想百思不得其解,我烟都抽不上,你一柜一柜的的雪茄,你抽的完吗?你的茅台50年还能喝多久,你的路易十三还能喝几瓶。你的罗曼尼康帝还能喝几瓶?你在日本的泳池别墅,新加波的豪宅你敢回去住吗?你老婆【李雅萌】的纯白的法拉利还有库里南你敢坐吗?还有你的儿子今年也才5岁吧。还有你的小女儿应该也两岁多了吧。你还能见她几次? 二、我为什么会来到这里【初见大哥】 2025年我本来在家日子不好过, 刘文鸿【外号银总】,我跟你同窗高中3年,你联系到我说出国工作,说现在跟着一个大哥做事,很赚钱什么的。对你的信任,我没考虑那么多就买票出来了,出来之后才知道跟的大哥叫超哥。在你们手下干活1年出头,出来之前许…
Channel
东南亚档案室@DNYDANGAN
@DNYdangAn
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
130subscribers
-1 since we began measuring on 12 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002992231988 |
|---|---|
| Type | Channel |
| Username | @DNYdangAn |
| Created | Between 1 August 2025 and 31 October 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 September 2026 |
| Last confirmed live | 28 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 28 September 2026 |
| On Telegram | t.me/DNYdangAn |
Topic
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 28 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Sept 2026, 02:01 | 130 | -2 |
| 13 Sept 2026, 17:19 | 132 | +1 |
| 12 Sept 2026, 06:22 | 131 | no change |
| 12 Sept 2026, 05:47 | 131 | first reading |
Engagement
10 posts held, back to 6 April 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 1 page of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 6.15%
- avg views ÷ 130 subscribers
- Avg views / post
- 8.0
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- of 10 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.
| Window | Rolling 30 days · latest post in window 12 September 2026 |
|---|---|
| Posts held | 10 (6 April 2026 – 12 September 2026) |
| Views total | 8 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Sept 2026, 06:22 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.
Reaction mix
1 reaction across 1 post, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 100.0% |
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 1 of the 10 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 1 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 6 April 2026 to 12 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
#迪拜 #群友求助:有个女孩子在国际城流浪 有认识这位女士的吗?现在一直在国际城附近流浪,没吃住地方。精神上有受创一直自言自语,护照信息是广西人 。 据她自述是广西贵港人,被台湾男朋友抛弃后精神失常。如有认识的请与我联系或有好大哥协助帮她解决回国问题 #张瑞瑶档案
#老挝 #群友投稿:今天上午,一名中国人在老挝的南塔在酒店房间内被一枪爆头了,太恐怖了 听说是中国人杀中国人,名字叫黄俊,现在已经被老挝南塔警方收走了尸体,有认识的家人朋友赶紧联系一下老挝南塔警方。 #视频慎点
#柬埔寨 #群友投稿 #曝光 皇家利华赌场林炳添非法拘禁殴打受害者,买卖人口贩卖毒品持有枪支,现在人已经被卖失去联系。 求助当地警察介入,中国大使馆难道无视这些畜生吗?主谋林炳添多次买卖人口毫无人性依然逍遥法外,皇家利华关系通天了吗? #林柄添档案
#网友投稿 #重磅曝光 全网通缉黑心女“米奇”:专门从国内诱骗外围到柬埔寨绑架敲诈,已有同胞失踪! 兄弟们,今天实名曝光一个丧尽天良、专门吃同胞血肉的黑心女!大家看准这张身份证,以后在金边、西港看到她,有多远躲多远! 真实姓名:李雯婧(身份证号:500382200303189206) 籍贯:重庆市合川区 外号:米奇 活动范围:金边、西港各大园区(此前在八号园区上班) 核心同伙:其男朋友“阿远” 这女人和她男朋友阿远联手,利用国内的外围群作为诱饵,把国内的女孩子诱骗、调用到柬埔寨。人一落地,立刻联合园区进行绑架和残酷敲诈! 我的朋友就是被李雯婧从国内的外围群一步步下套,骗到柬埔寨后实施绑架勒索,目前人已经彻底失踪,生死未卜! 该女子还患有艾滋病,却依然在圈子里活跃,行为极其歹毒,简直是想要同胞的命! 人在做,天在看!你以为躲在柬埔寨园区里就没事了?目前,我们已经将李雯婧的高清照片、身份证信息以及她绑架敲诈的所有铁证,全部…
#柬埔寨 #群友投稿 #曝光 体育圈招募的兄弟姐妹们,擦亮眼睛千万别踩雷! 今天(5月13日)早上,我被一个越南胡志明的叫乔梦瑶(代号小乔)的女小姐给狠狠“黑吃黑”了!这姐们是个老油条,自称在柬埔寨混过,套路熟得很。她利用我急着招人的心理,一环套一环,直接把我给坑惨了。 兄弟们看看她的恶劣套路: 装穷骗信任:主动配合面试拿到Offer,然后开始哭穷。说自己全身只剩35美金,连退房、交电费都没钱,更没钱应付机场海关验资。 吃干抹净直接失联:我看她连护照、劳工证都拍过来了,就一时心软,自己掏腰包找越南朋友对冲,在5月12日傍晚给她银行卡里转了200美金验资现金。结果今天(13号)早上6点,她发消息说在机场等登机,等时间一到(07:55起飞),她拿了钱机票直接退舱失联,把我和公司直接拉黑! 我个人加公司总共损失 715美金(等值5040人民币): 200U 现金预支 255U 胡志明-西港机票 60U 回程酒店单 200U 西…
#柬埔寨 #群友曝光#捞女 #扶手 #郑芙莉 吸毒贩毒女 柬埔寨职业捞女 顶级诈骗女 满嘴谎话连篇 涉及联合绑匪钓鱼绑架贩卖人口到电诈集团此女蛇蝎心肠,请身边人远离以免遭受迫害!后续会通过天眼比对查询全家户籍档案发布出来! 打炮视频过于刺激不宜发布可私下联系博主解锁! 女 目前在金边,欠我22000美金消失跑路,救命钱你也骗,这件事没玩。我慢慢和你玩 梅毒携带者目前KTV上班,大家注意啦,上过毒女的检查一下吧 👉羞羞做爱视频👈
#缅甸 #群友分享 缅妹分手惨遭前男友曝光。最近一对在理发店里的一名小姑娘和她男朋友开房视频在TikTok上火爆的发给你们看!18岁就已经学会吹肖的缅甸理发店女网红Ma Ei 不仅B毛刮的干净,还很会吹箫 #网红缅妹做爱自拍资源包
#柬埔寨 #群友爆料:这个人叫陈豪,跟着汇旺西总做公链和xone项目,此人欺上瞒下,中饱私囊,坑大哥害兄弟,趁老婆坏二胎时候 假装单身强奸女同事,部门所有人都可以作证。 他带团队期间,团队的人很多是他结婚时候的伴郎,他当着所有伴郎和同事的面假装单身,多次猥亵女同事而且哄骗西总给他买车 特斯拉皮卡车牌号(xone km)大哥长大哥短,大哥出事他一点都不管。卷款跑路。不管老婆孩子。也不管兄弟和大哥。 谁能提供他消息的举报有奖。这逼卷款跑路了。他在国内做凤凰男当赘婿。擅长舔逼,巴结大哥,出卖同伴。 #陈豪档案
❤1
#柬埔寨 #群友投稿 #木牌 #命案 说一下昨天发生木牌的一起命案。死者是越南人,之前在博彩集团#KJC旗下的平台 #RR88 做人事小组长。也就是恒河3园区,他试图把该平台去年所有求职者的简历信息打包卖给别人,被公司发现后关了起来。 但不知道他半夜怎么逃了出来,园区内保在后面追,动手的是几个来自福建安溪和蓝田的管理人员。结果下手太重,直接把人打死了。 事发当晚就有很多频道在曝光这件事,但都被他们花钱删掉了。大家可以查一下这个集团KJC,上过很多次新闻。他们之前的后台在木牌皇冠园区,因为天天打人被曝光,后来皇冠把他们赶了出去,负责人叫“阿yi”。现在后台搬到了斯里兰卡,还有几个分部在柬埔寨偷偷摸摸地运作。 #人员档案
Showing the 10 most recent of 10 posts we hold for @DNYdangAn. 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 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.
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 28 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚档案室@DNYDANGAN” (@DNYdangAn), 130 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/DNYdangAn.
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.