Channel
@dny900
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
30,940subscribers
-3,995 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1002149499529 |
|---|---|
| Type | Channel |
| Usernames | @dny900 @dsj_918 |
| Description | #东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 东南亚灰产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。 不求最好只求更好 投稿，曝料，商务合作： @TG_BG0 国漫电影院：https://t.me/GMDYY0 关注世界杯：https://t.me/dny500 |
| Created | Between 1 May 2024 and 31 October 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 2 September 2026 |
| Measurements held | 41 |
| Confirmed unchanged | 1 time, most recently 2 September 2026 |
| On Telegram | t.me/dny900 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 2 Sept 2026, 08:58 | 30,940 | no change |
| 2 Sept 2026, 07:43 | 30,940 | -258 |
| 1 Sept 2026, 08:06 | 31,198 | no change |
| 1 Sept 2026, 05:45 | 31,198 | -244 |
| 31 Aug 2026, 08:13 | 31,442 | no change |
| 31 Aug 2026, 08:06 | 31,442 | -145 |
| 30 Aug 2026, 08:27 | 31,587 | no change |
| 30 Aug 2026, 08:24 | 31,587 | -65 |
| 29 Aug 2026, 09:02 | 31,652 | -99 |
| 29 Aug 2026, 08:36 | 31,751 | -81 |
| 28 Aug 2026, 09:24 | 31,832 | -44 |
| 28 Aug 2026, 07:24 | 31,876 | -49 |
| 27 Aug 2026, 07:45 | 31,925 | no change |
| 27 Aug 2026, 04:02 | 31,925 | -88 |
| 26 Aug 2026, 06:32 | 32,013 | no change |
| 26 Aug 2026, 02:53 | 32,013 | -95 |
| 25 Aug 2026, 09:22 | 32,108 | -97 |
| 25 Aug 2026, 01:54 | 32,205 | -171 |
| 24 Aug 2026, 08:46 | 32,376 | -46 |
| 23 Aug 2026, 15:37 | 32,422 | first reading |
315 posts held, back to 10 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 46 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 305 of 315 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 September 2026 |
|---|---|
| Posts held | 315 (10 August 2026 – 3 September 2026) |
| Views total | 191,371 |
| Reactions total | 2,732 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 08:47 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 3 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 96 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.
2,732 reactions across 305 posts, in 10 distinct kinds. The most used accounts for 54.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,499 | 54.9% | |
| 🔥 | 639 | 23.4% | |
| 🤔 | 509 | 18.6% | |
| 🤯 | 30 | 1.10% | |
| 👍 | 25 | 0.915% | |
| 👎 | 17 | 0.622% | |
| 😢 | 6 | 0.22% | |
| 👏 | 5 | 0.183% | |
| 💩 | 1 | 0.037% | |
| 🤡 | 1 | 0.037% |
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 305 of the 315 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 2,732 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 315 most recent posts we hold, published 10 August 2026 to 3 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.
#马来西亚资讯：古晋捣毁网恋诈骗窝点 8人落网专骗海外受害者 9月1日晚约11时，马来西亚砂拉越州古晋宋路一处公寓遭警方突袭，一个长期从事网络网恋诈骗的窝点被捣毁，8名嫌疑人被捕。 被捕的8人年龄介于21至26岁，包括2名马来西亚男子、1名马来西亚女子和5名外国男子。警方同时查获多台笔记本电脑、手机及其他电子设备。这批人员长期在公寓内从事网恋诈骗，主要寻找马来西亚境外受害者下手。 9月2日，8人被带往古晋推事法院，法院批准延扣4天。案件涉及诈骗及刑事共谋，警方继续调查这个诈骗团伙的具体运作情况。
#国内新闻 6人借旅游出境！辗转柬埔寨西港金贝、老挝金三角多园区、缅甸妙瓦底老泰昌园区从事电诈获刑 贵州黔南政法机关9月1日对外通报： 近日，由平塘县人民检察院提起公诉的一起诈骗罪、偷越国（边）境罪一审宣判，六名被告人全部被判处刑罚。 经查，被告人刘某某受陆某（未到案）邀约，以个人旅游为借口办理护照出境。刘某某出境后，又邀约王某某、敖某某出境；王某某接受邀约后，继续邀约秦某某出境；刘某某还通过韦某城（未到案），由韦某城邀约韦某彤、杨某某出境。 上述六名被告人均以个人旅游为借口办理护照，自2023年4月起先后出境，期间辗转柬埔寨西港金贝园区诈骗公司、老挝金三角特区天海诈骗公司等多个诈骗窝点从事电信网络诈骗活动。 六名被告人陆续进入老挝金三角特区天海诈骗公司后，一起在天海诈骗公司所在的“老缅新村”诈骗园区、“金帝诈骗园区”实施诈骗至2024年2月，之后六名被告人一同前往缅甸妙瓦底“老泰昌”诈骗园区，以虚拟币投资理财的方式实施…
🇨🇳 湖南76岁老人分饰3角诈骗同龄老人7万余元，法院：系累犯，判刑3年半 9月2日，湖南常德临澧县法院发布一起诈骗案件。被告人高某某为骗取钱财，以给他人介绍对象为名，虚构身份、一人分饰三角，在近两年时间内骗取同为七旬的被害人李某某人民币共计7万余元。 2023年下半年，高某某结识了李某某，闲谈中，高某某得知李某某有一子李某年逾四十尚未婚配，便动起了歪心思。高某某谎称自己是退休干部，并虚构自己有一名在某省公安厅工作的侄女“高萍”，离异无孩，条件优越，假意要撮合李某与“高萍”。 李某某信以为真，满心欢喜地同意了这门“亲事”。为了让骗局更加逼真，高某某还虚构了在省公安厅担任“部长”的“高加伟”作为“高萍”的叔叔，并用不同的号码轮番上阵：他时而用自己的正常语气扮演媒人角色与李某某沟通；时而压低嗓音，模仿“高加伟”的语调，以“省公安厅领导”的身份给李某某吃“定心丸”；时而又捏着嗓子，将音调放尖，假扮“高萍”给李某某打电话，娇滴滴地…
金边公寓内一女子身亡 今天凌晨，位于金边堆谷区一公寓发生死亡事件，一名女子被人发现死在该公寓的一个房间内。 该女子死因蹊跷，事发后警方已经介入调查。不过，也有媒体报道称，女子是死于心脏病突发。
#网友投稿：各位同行注意，爱翻译偷钱 爱翻译偷钱！后台集体套取客户信息使用小号私聊客户盗取资金！ 美国时间1号我们集团大概三十几个人办公室在不同国家网络爱翻译同时掉了一批号， 一、异常掉号事件 美国时间9月1日下午3:54左右，我们集团位于不同国家、使用不同网络和时区的三十多名员工，其登录在“爱翻译”软件中的Telegram账号同时出现大规模掉线。 员工重新登录后，多个账号又同时弹出“紧急修改两步验证密码”的提示。向爱翻译反馈这个问题他竟然说中毒。我们集团的员工所在国家、网络和设备均不相同，用“员工设备中毒”很难合理解释如此集中、同步的异常。 发现问题后，我们取消了相关登录，但是我们还没有联想到爱翻译要开始圈钱了。 二、客户随后遭到精准骚扰 紧接着，多个正在办理延期、续期或涉及较大金额业务的客户，开始被陌生Telegram账号主动添加和骚扰。 这些陌生账号不但知道客户正在办理的业务，还能准确说出客户需要存入的具体…
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#缅甸局势：缅军施压DKBA要求移交三佛塔等地 军政府正施压DKBA，要求允许进驻三佛塔、沃勒、弗鲁、敏勒班等控制区设点。7月以来双方已多次会谈 目前该地区战事激烈，三佛塔和沃勒战略高地已被KNLA联军围困近三年。军方已派约500兵力进攻，联军以游击战术反击 DKBA正就和平进程、地区安全等议题开会商讨。若DKBA拒绝，军方或采取空袭，但目前未见进一步行动
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#老挝资讯：乌多姆赛省捣毁3处涉赌诈窝点，抓获52名嫌疑人（含25名中国籍） 老挝媒体9月2日报道：8月25日至27日，乌多姆赛省公安厅联合属地县公安力量，对孟昏县、巴本县的3处窝点同步开展收网行动，抓获52名涉嫌网赌电诈的涉案人员。 涉案人员来自6个国家：中国籍25人、越南籍17人、老挝籍7人，马来西亚、缅甸、土耳其籍各1人。 现场查获台式电脑27台、笔记本电脑1台、手机21部以及3套星链（Starlink）卫星网络设备。 警方调查显示，该团伙此前在博胶省金三角经济特区活动，8月初分批转移至乌多姆赛省。部分人员从会晒乘船沿湄公河南下抵达巴本县，再转车前往洪县藏匿。 团伙在洪县纳洪村租下16间房屋，月租金约1亿基普（约合4450美元）。该团伙共有5名头目，负责人员调度、交通、住宿及生活安排，分别为中国籍陈贵、李义、李杰、钟建勇与土耳其籍陈高勇。（姓名均为音译） 窝点8月17日启用，仅8天，8月25日便被警方突击查处。…
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柬埔寨反诈清剿后人员被指大规模外迁，逾万人转往缅甸继续参与电诈 据《南华早报》援引反人口贩运组织人士消息，随着柬埔寨近期持续清剿大型电诈园区，部分涉诈人员及相关网络开始向周边国家转移。 相关机构估计，约有1万至2万名外国人从柬埔寨进入缅甸，并继续参与网络诈骗活动。 报道同时指出，目前缅甸境内部分电诈园区仍有大量外国人滞留或被困。 反人口贩运组织估计，其中至少有1.37万人来自印度、埃塞俄比亚等多个国家，部分人员被指曾从柬埔寨转移，甚至经历再次转卖。 除缅甸外，调查人员还注意到部分诈骗团伙开始向印度尼西亚、斯里兰卡等地重新布局。 相关情况显示，区域反诈行动虽然压缩了部分大型园区空间，但电诈网络正呈现跨境转移、据点分散化的新趋势。
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#网友爆料：这是这个18岁云南女孩绑架的其中一个女孩，被她设计、陷害、绑架的全过程…… 这个云南女孩小小年纪，很早都在东南亚混了。为了钱、为了吸DU、为了赌博，什么事情都做得出来！！ 这个被绑架的女孩子跟她互称好闺蜜。这个18岁云南女孩骗人家说被人绑架了，需要钱，她闺蜜二话不说给她转“救命钱”。实则是她故意找的话术去骗钱，她也常拿这个话术去骗别人。 她骗了周围所有人，用着各种各样的话术，利用大家对她一个小女孩的同理心，去一次次欺骗…… 被她绑架的闺蜜和被她伤害的朋友，对她真的是真心实意地好，从来没有亏欠过一毫。最后她恩将仇报，把人家绑架了。 这个08年、18岁云南女孩，以后还是会做出这种伤害人的行为，也还是会去绑架无辜的人。 希望大家对她保持警惕，不要相信她说的任何一句话。
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#网友投稿：电诈，下个世纪都铲除不完的 为迎接美好的九月份，公司五十几号人从金边搬到桔井市这边敲键盘上班已经有半个月了，我们原来是在金边永旺附近的公寓里面打野。在八月十五号我们接到在金边森速警察局上班的柬埔寨朋友通知，让我们公司所有打野的员工尽快在二个星期之内带着办公设备搬离金边市。 因为在九月份金边警方会比八月份打击电诈份子的力度更强，他们警察内部已经明确接到命令九月份在金边最少还要抓千名以上窝藏在这边的电诈份子。 金边距离桔井三百公里不到，我们哪里敢等两个星期之内再搬，五天之内我们就已经租好房子把所有员工和设备都安全的转移到了桔井的新办公地点。搬到桔井还是这位在森速警察局上班的朋友介绍我们去的，我们公司现在跟这位在警局上班的柬埔寨朋友可以说是已经绑定了很深，我们公司在金边打野十个月的时间每个月都向他贿赂安全保障金一万刀，他也帮助提供了很多安全消息给我们公司以躲避政府军警各方面的检查和扫荡。 只要我们公司还在柬埔寨开工…
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#温馨提示：近期有很多骗子冒充 很多平台的客服专员 以送 特邀彩金的噱头 去骗人 盗U 骗子的骗人流程： ①发送盗U平台的链接让你注册 ②注册后让你下载app授权相册 ③如果冷钱包助记词保存相册的就会被盗U ④当你在平台用送来的彩金盈利后提款的时候会让你充值提款金额的一半金额后才让你提款。 你敢充 对方就敢杀 不信邪的就试试 最后提醒大家：凡事以注册送彩金名义的，不是杀猪盘 就是盗U的。切记不可起贪小便宜的心理，你不贪心就不会被骗。
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ChatGPT广告成新金矿 上线不到200天年化收入冲破10亿美元 8月31日，ChatGPT广告业务年化收入运行率突破10亿美元。从2月9日在美国启动测试到跨过这一门槛，用时不到200天，已有数万家广告主开始在ChatGPT投放广告。 ChatGPT广告最初面向美国免费版和Go用户，随后快速扩张，目前已进入40多个国家。印度、欧洲、中东和北非的广告主也已可以通过广告管理平台直接购买和管理ChatGPT广告。 ChatGPT每周活跃用户已经超过10亿，庞大的免费用户群正在变成OpenAI新的商业入口。除了订阅、企业服务和API，广告已经成为OpenAI新的收入支柱。 ChatGPT里的广告会单独标注，与AI回答分开显示，不会影响ChatGPT给出的回答。这里的10亿美元是按照当前收入速度折算出的年化规模，并不是上线不到200天已经实际赚到10亿美元。
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Showing the 12 most recent of 315 posts we hold for @dny900. 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.
Citation-graph rank — 1,384,887 of 1,630,085 entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 2 September 2026 — this entry's latest reading, not the date you are reading this.
“东南亚灰产大事件💸” (@dny900), 30,940 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/dny900.
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.