#网友爆料 此人叫小海瑞,金边天空1某妈咪助理,因人品有问题被开除。之后去了财通金湾富豪汇 KTV 做妈咪。 25年12月,因他大哥去世,开包厢自己嗨。工作人员劝他不要玩了,他不听劝,一直要嗨,玩了6个套,最后没钱买单,找了担保人。 现如今,担保人联系不到,当事人小海瑞一直不回信息。回信息了,就是拖着不给,各种理由推脱不买单。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc0777

Channel
东南亚茶水间|新闻|曝料|悬赏|吃瓜🍉
@D_N_Y_1
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
36,656subscribers
-3,387 since we began measuring on 16 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1002561459890 |
|---|---|
| Type | Channel |
| Username | @D_N_Y_1 |
| Description | (东南亚茶水间)专注于东南亚资金新闻 曝光联播 悬赏,实时了解各国实事新闻等大小事件。 投稿/合作✈️: @yyc77777777 本平台已同步10+ 抖快/媒体反诈_海外记者_证件查询_大使馆 投诉服务 🇨🇳🇰🇭🇹🇭🇲🇲 This channel is an independent cross-border news translation media. |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 16 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 40 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/D_N_Y_1 |
Topic
National news — 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 66% 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 |
|---|---|---|
| 25 Oct 2026, 20:27 | 36,656 | -33 |
| 24 Oct 2026, 21:50 | 36,689 | -32 |
| 23 Oct 2026, 22:46 | 36,721 | -52 |
| 22 Oct 2026, 23:11 | 36,773 | -19 |
| 21 Oct 2026, 23:37 | 36,792 | -24 |
| 20 Oct 2026, 15:28 | 36,816 | -20 |
| 19 Oct 2026, 18:37 | 36,836 | -16 |
| 18 Oct 2026, 20:56 | 36,852 | -10 |
| 17 Oct 2026, 21:56 | 36,862 | -51 |
| 16 Oct 2026, 21:17 | 36,913 | -88 |
| 15 Oct 2026, 19:29 | 37,001 | -59 |
| 14 Oct 2026, 20:39 | 37,060 | -214 |
| 13 Oct 2026, 09:49 | 37,274 | -68 |
| 9 Oct 2026, 08:16 | 37,342 | +9,539 |
| 5 Oct 2026, 00:22 | 27,803 | -1,033 |
| 27 Sept 2026, 19:42 | 28,836 | -1,983 |
| 17 Sept 2026, 18:38 | 30,819 | -188 |
| 15 Sept 2026, 19:01 | 31,007 | -2,354 |
| 14 Sept 2026, 01:22 | 33,361 | -591 |
| 12 Sept 2026, 06:01 | 33,952 | first reading |
Engagement
807 posts held, back to 16 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 121 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.92%
- avg views ÷ 36,656 subscribers
- Avg views / post
- 705
- 339 posts measured
- Reaction rate
- 0.224%
- reactions ÷ views · ER floor
- Posts in window
- 339
- of 807 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 73 of 339 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 26 October 2026 |
|---|---|
| Posts held | 807 (16 August 2026 – 26 October 2026) |
| Views total | 238,924 |
| Reactions total | 86 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Oct 2026, 11:29 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
- ≈14,800
- Videos
- ≈1,820
- Links
- ≈5,700
Lifetime counters from Telegram’s own channel header, read 26 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
- 3h 55m
- Average length
- 2m 16s
Measured directly from 104 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
107 reactions across 88 posts, in 9 distinct kinds. The most used accounts for 15.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 16 | 15.0% | |
| 😁 | 14 | 13.1% | |
| ⚡ | 13 | 12.1% | |
| 🎉 | 13 | 12.1% | |
| 🤩 | 13 | 12.1% | |
| 👏 | 12 | 11.2% | |
| 🔥 | 10 | 9.35% | |
| 🥰 | 9 | 8.41% | |
| 👍 | 7 | 6.54% |
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 88 of the 807 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 107 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 807 most recent posts we hold, published 16 August 2026 to 26 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
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#8号园区金主遭美制裁,加州豪宅与东京公寓曝光 美国制裁太子集团关联人士后,其海外资产引发热议。据OCCRP报道,今年6月被美财政部制裁的Brendon Luo,涉嫌投资柬埔寨诈骗园区并提供资金。尽管受制裁,他在加州仍持有一栋位于封闭社区的5卧豪宅,并在东京市中心拥有豪华公寓。 Luo被指为Legend Innovation公司登记所有人,该公司涉柬8号园区。英方曾称该园区可容纳约2万被贩运人员。对此,太子集团及Luo代表均否认关联,称未参与业务或拥有相关公司。 此外,Luo住宅附近曾有陈索利(陈志案“共谋者2”)的房产。美财政部还将Prince Plaza Investment列入制裁名单,指其由太子集团犯罪组织控制。目前各方说法存在争议,案件仍在发酵中。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc0777
#国内新闻 湖北武穴警方用砖头替换20万元现金 现场抓获电诈取现车手 10月24日,经视直播报道,湖北黄冈武穴警方成功阻止一起刷单返利诈骗,利用砖头替换20万元现金,现场抓获一名负责取现的犯罪嫌疑人。 此前,一名男子被诈骗团伙以小额刷单返利为诱饵,逐步诱导投入更多资金,最终被要求携带20万元现金到指定地点交给取现人员。 武穴警方接获线索后,联合银行锁定受害人,并在其车辆后备箱内找到准备交付的20万元现金。 警方随后将现金包裹内的钱替换成砖头,由受害人按照原定计划前往交易地点。 在武穴某村委会附近,民警利用无人机侦查,发现取现人员进入现场并检查现金包裹,随即展开抓捕。 被捕男子姓穆,来自重庆,此前在江西九江接到取现任务,按照诈骗团伙指示前往武穴收取现金,完成交易可获得1000元报酬。 目前,20万元资金已全部发还受害人,案件仍在进一步侦办中。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://…
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#网友爆料 本人外号233,实名制黄智文,本人与2026年10月期间前往马来西亚找我大哥精分(王瑞文)九龙集团总管职位, 期间开心愉快了俩三天包厢 第四天要求我付款50000人民币以及7000余元利息给精分小弟(欧欧)的老婆 要求我付款包厢钱,本人不肯精分几人吩咐欧欧(欧阳杰)对本人进行实施暴力殴打,敲诈胁迫本人,并把本人钱包仅剩4280USDT转走,逼其本人下跪才肯放离,现曝光绑架犯(王瑞文)外号精分 (欧阳杰)外号欧欧,目前他们都在马来西亚。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc0777
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#马来西亚资讯 马来西亚吉隆坡突查两处场所,55人被捕,53名中国籍 10月24日,马来西亚吉隆坡警方突查两处场所,共逮捕55人,其中53名中国籍、2名马来西亚籍。 第一处为涉嫌无证经营的娱乐场所,共捕获50人,包括49名中国籍人员和1名马来西亚籍男子。 第二处为 KLCC 附近涉嫌非法赌博的住宅,共逮捕5名男子,包括4名中国籍和1名马来西亚籍。警方查获扑克牌、筹码及约3,870令吉赌资,案件涉及非法经营、赌博及移民法规。 目前案件仍在调查中,涉案人员是否被起诉或定罪,尚待司法程序确认。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc0777
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#网友爆料 涉黑电诈窝点:西非几内亚“大卫”团伙 雇佣当地宪兵看守。 核心头目:老板 #大卫(David)。 •诈骗项目:“同心”APP、“中国统一”APP(专门针对国内中老年人实施“民族资产解冻”类政治诈骗)。目前注册三十几万客户。 • 黑幕手段:落地即强扣护照、非法限制人身自由、疯狂虐待殴打员工、索要天价赔付。每天工作十六个小时以上,现在已经搬到中非。 最后警告:我们只想要回属于我们的血汗钱!这次就先发两张马赛克。 目前,我们几个跑出来的同事已经安全回国,并拉了维权群。重要团队长、客户电话号码,我们全部掌握。 如果不解决处理,回国的兄弟们将拿着更多客户电话号码以及公司照片,还有更多清晰照片,向国内公安部、国家反诈中心以及中国驻几内亚和中非大使馆进行实名举报。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc0777
#马来西亚怡保移民局夜间突查,109名外国人被扣留 马来西亚移民局于10月24日晚至25日凌晨在霹雳州怡保展开两项执法行动,共扣留109名外国人,包括34名女性和75名男性。 首轮行动突查一家娱乐场所及4家按摩中心,检查70名外国人,扣留34名来自泰国和越南的女性。 第二轮行动检查怡保批发市场的77名外国人,扣留75名男性,涉及缅甸、孟加拉国、老挝及印度尼西亚籍人员。 此次行动主要针对无有效旅行证件、逾期居留及滥用工作准证等移民违规行为,另有5名雇主收到传票协助调查。 官方数据显示,2026年1月1日至10月25日,马来西亚移民局全国已扣留超过6.6万名外国人,并遣返超过4.5万人。 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc0777
#网友投稿 最高级别警示!马来西亚的兄弟们注意了,这一次绝不是普通的风声! 近日消息不断传出,吉隆坡及周边地区的高档公寓、私人别墅、住宅区正成为反诈执法重点,官方消息称,中国警方将与马来西亚警方、移民局展开为期一年的跨境联合执法行动,重点严查隐藏在公寓、写字楼、别墅内的电信网络诈骗窝点! 更值得警惕的是,当地居民举报涉嫌诈骗窝点,奖励高达 15,000令吉,中国警方也将赴马协助调查,特别是做“龙国项目”的兄弟,千万小心!别以为躲在高档公寓、私人别墅就万事大吉,真要查起来,顺着网线追查到人,下一步可能就是上门抓捕! 据称大马已与龙国达成跨境反诈执法合作协议,龙国派出大批警察赴马配合当地警方及移民局,展开长达一年的联合严查行动。一旦涉嫌诈骗被抓捕就不会像缅甸、老挝、柬埔寨、之前一样充值了就放人,现在面临遣返及刑事追责,进去“学习三年”绝不是一句玩笑! 公寓、别墅区还在“打野”的兄弟们,必须认清形势! 缅甸、老挝、柬埔寨的教训…
#网友爆料 缅甸三佛塔园区黑幕曝光最新消息 坐标:北纬 15.47331,东经 98.28373。 园区内几十家公司,十几栋楼,每栋楼 3 层,涉事 888 公司,老板都是中国人。 园区主管“大炮”,二老板“三喜”,里面不少打手和管理层还xidu。这个园区之前就被曝光过很多次,但暴行一点没变。 被骗过来的人全部被非法关押,殴打、电击、小黑屋、水牢、关兵站、塞进狗笼,往笼子里放毒蛇都是家常便饭。 男的一送进去先挨打,先来个下马威,还会给受害者看酷刑、伤人致死的视频用来吓唬人。 园区门口有持枪大兵二十四小时轮流看守,根本无法逃脱,当地武装和园区利益牵扯甚广,不敢让人逃跑。 长得好看的女生,会被送到园区会所被逼卖淫;普通样貌的女生,和男生一样,被逼做电信诈骗敲键盘。 只要稍微敢反抗,就会遭受各种暴力虐待,很多被困的人被折磨到身体垮掉、精神失常。 这里的残忍程度不亚于当年的 KK 园区。 恳请国际反诈联盟、国际刑警…
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#网友投稿 西港ob别墅群打野兄弟小心了 这里已经被点了 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🔊订阅东南亚茶水间 📥 https://t.me/+uZlg1AYrseBhZjY1 投稿/商务: @yyc0777
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#网友爆料 原柬埔寨西港“黄金城园区桥水集团”总监,外号“曹瑞”,广东人,曾在缅甸做总监,国内红通人员。 黄金城被查后,曹瑞带队转移到老挝继续做以色列币盘,后来因检查趋严,又带队转移到乌兹别克斯坦。 团队约20人,大部分人一路跟着曹瑞从柬埔寨到老挝,再到乌兹别克斯坦。当初承诺的福利待遇,却一样没兑现。每月工资700美元,每天工作15小时左右,只要人在职场,就必须坐满18小时。职场里动辄打骂员工,还雇了安保人员。公司搬迁费、租房费和日常运营成本,也全算到员工头上。 曹瑞,这些费用凭什么让员工承担?当初承诺的待遇,又兑现了多少?团队跟着你这么久,真正赚到钱的一个都没有。以色列业务做得一塌糊涂,一波下来,大家连回家过年的机票钱都拿不出来。现在又搞所谓的“接盘票”,天天只知道要数据、要业绩,不管员工会不会做,完不成任务就找理由罚款。业务做成这样,你自己就一点问题都没有吗?罚款能罚出业绩吗?自己没本事做好业务,就知道把压力往员工身上…
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Showing the 12 most recent of 807 posts we hold for @D_N_Y_1. 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.
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.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“东南亚茶水间|新闻|曝料|悬赏|吃瓜🍉” (@D_N_Y_1), 36,656 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/D_N_Y_1.
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.