Telegram RegisterThe public register of Telegram

Channel

东南亚大事件|曝光|悬赏|投稿🏆

@dyy83

3 usernames

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

114,947subscribers

-4,199 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001451326306
TypeChannel
Usernames@ay964 @baoguang117 @dyy83
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held18
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/dyy83

Topic

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 65% 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

114,947119,146117,046.57 August 2026 — 119,146 subscribers7 August 2026 — 119,135 subscribers7 August 2026 — 118,934 subscribers8 August 2026 — 117,891 subscribers8 August 2026 — 117,554 subscribers8 August 2026 — 117,519 subscribers9 August 2026 — 117,170 subscribers9 August 2026 — 116,946 subscribers9 August 2026 — 116,801 subscribers10 August 2026 — 117,502 subscribers10 August 2026 — 117,475 subscribers10 August 2026 — 117,115 subscribers11 August 2026 — 116,228 subscribers11 August 2026 — 115,908 subscribers11 August 2026 — 115,739 subscribers12 August 2026 — 115,197 subscribers12 August 2026 — 115,058 subscribers12 August 2026 — 114,947 subscribers7 August 202612 August 2026
18 measurements spanning 5 days, net -4,199. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 114,317–119,776 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:13114,947-111
12 Aug 2026, 13:06115,058-139
12 Aug 2026, 09:57115,197-542
11 Aug 2026, 18:52115,739-169
11 Aug 2026, 12:58115,908-320
11 Aug 2026, 07:48116,228-887
10 Aug 2026, 19:52117,115-360
10 Aug 2026, 14:58117,475-27
10 Aug 2026, 09:01117,502+701
9 Aug 2026, 17:22116,801-145
9 Aug 2026, 12:33116,946-224
9 Aug 2026, 07:11117,170-349
8 Aug 2026, 18:02117,519-35
8 Aug 2026, 14:33117,554-337
8 Aug 2026, 08:45117,891-1,043
7 Aug 2026, 16:22118,934-201
7 Aug 2026, 11:04119,135-11
7 Aug 2026, 10:45119,146first reading

Engagement

123 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.52%
avg views ÷ 114,947 subscribers
Avg views / post
2,890
123 posts measured
Reaction rate
2.57%
reactions ÷ views · ER floor
Posts in window
123
of 123 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 121 of 123 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 12 August 2026
Posts held123 (7 August 202612 August 2026)
Views total355,703
Reactions total8,823
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:25 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

Video runtime
23m 14s
Average length
42s

Measured directly from 33 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

8,823 reactions across 121 posts, in 9 distinct kinds. The most used accounts for 19.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,72619.6%
🎉1,68319.1%
😁1,66618.9%
👍1,66018.8%
1,60618.2%
🤩1431.62%
1351.53%
👏1081.22%
🥰961.09%

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 121 of the 123 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 8,823reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 123 most recent posts we hold, published 7 August 2026 to 12 August 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

12 Aug 2026, 15:49 UTC733 views84 reactionsread 12 August 2026
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#网友曝光 此人李荣浩……马来西亚籍假护照,娶了一个柬埔寨老婆,老婆哥哥在柬埔寨内政部当保护伞……在西港让我投资25w美金,然后吸毒,我不想投这笔钱了,他老婆过来求我给他个机会,现在不止欠钱不还,还打着我名义到处招摇撞骗。 爆 料 投 稿 : @zls33 ⭐️⭐️⭐️频道广告赞助商⭐️⭐️⭐️ ——————————————— 🙂‍↕️😜😘🔤🔤😀🤩【U投首选点击注册】【实力认证 |值得信赖】 ——————————————— 🕐🕑😁😀🤩😨🤔🥳🙄🤯🕺人民币注册😘USDT注册🤪首周亏损100%包赔-你下单我买单/大额无忧/无私彩 ——————————————— ⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️⚡️ ⚡️实力铸就品牌高度 · 专业打造娱乐新标杆 ——————————————— 🤩🤩🤩🤩🤩🤩🤩🤩最高可領取3888 豪華彩金 ——————————————— ⚡️⚡️⚡️⚡️ 一触即付,安全无忧;商户开户即享😙费

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12 Aug 2026, 15:16 UTC≈6,110 views80 reactionsread 12 August 2026
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#国际新闻 8月12日,土耳其空军的一架F-16战机在训练飞行期间坠毁,飞行员已成功跳伞逃生。

👍19🔥17😁1412🎉123🤩2👏1

12 Aug 2026, 15:01 UTC≈1,560 views74 reactionsread 12 August 2026
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#继续爆料 亚太盘总 #金地园区 现搬到山上去了 外号 #腾辉 原名 #李毓娄、 #财神 原名 #邓伸 国内合伙人 #帅帅(原名 #李赛帅)负责输送安排偷渡到东南亚) #柬埔寨 #老挝 #缅甸 等地区 公司打人 体罚等是家常便饭,拖欠员工工资,至今有一人消失不见,外号小胖。 照片如下,老挝特外盘口7月20关盘,玩套路,就连路费都不安排,前段时间亚太公司称跑几个人,到底是卖了还是跑了,真相只有你们心里清楚!

🔥1715👍15😁14🎉73👏1🤩1

12 Aug 2026, 14:33 UTC≈2,350 views81 reactionsread 12 August 2026
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#群友投稿:湖南新化老家四个人8.9日落地曼谷,前往清迈的车上失联。 经打听首先被绑架到妙瓦底DKBA总部足球场附近的军营,车牌号:3929 6699 3939 三辆车,然后8.12日转移到将军山669园区,被打的惨不忍睹,最近绑架事件的陈泽朋友女网红也是这个园区和军营接收,罪大恶极,曝光蛇头叫阿虎,军营负责人:大白 目前军营里仍然关押大量未成年学生,退伍军人,年轻女孩,用于敲诈赔付,请求大使馆,相关部门严查!

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12 Aug 2026, 14:09 UTC≈7,700 views73 reactionsread 12 August 2026
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#郑勇杰 借钱不还玩消失 郑勇杰,甘肃天水籍,现居福建厦门,绰号“勇哥”“西北小勇” 我向来不会因为谁一时落魄、手头紧或者正在低谷就看低对方。谁都有资金紧张、左右为难的时候,临时借点钱周转再正常不过。只要你开口、我选择信任,能帮的我从来没含糊过。 当初愿意伸手,是信了你话里的那份诚恳,也信了你平时挂在嘴边的仁义道德、为人坦荡和知恩图报。结果到头来才看清,越是把品格和道理讲得头头是道的人,真到节骨眼上反倒最不讲道义 借钱时话说得情真意切,条理比谁都清楚,承诺也拍得响。可钱一进你口袋,该兑现的时候态度立马换了副面孔。 欠钱一时还不上我能体谅,成年人谁没点难处,只要肯说实话把情况讲清楚,我也不会往死里逼。真正让我心凉的是,钱一拖再拖,借口换了一个又一个,最后直接拉黑电话、人玩消失,躲得连影子都见不着。 这件事让我彻底想通了,真正靠得住的人从来不用天天把人品挂嘴边。一个人暂时没钱不算啥,最要命的是做人没了信用。 你平时装出

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12 Aug 2026, 13:40 UTC≈7,920 views75 reactionsread 12 August 2026
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#网友投稿:在东南亚五年,我终于明白:狗推,其实就是一场没有剧本的人生表演 来到东南亚,已经五年了。五年的时间,说长不长,说短也不短。这片土地见过太多人的来来去去,带着发财梦踏上这里,带着遗憾和疲惫离开。赚到了钱,输掉了青春,而我,只是在这场时代的浪潮里,扮演了一个又一个不同的角色。 回头看看自己这一路走来,我也觉得自己是幸运的。东南亚这些年,经历过各种复杂的环境,见过太多意想不到的事情,也听过太多身边人的故事。但万幸的是,我一直平安走到了今天,没有遇到无法挽回的事情,也没有让自己陷入更深的困境。 很多人问,狗推到底是什么?如果让我形容,我觉得狗推更像是一场长期的角色扮演。我们每天坐在电脑前,面对着陌生的人,说着提前设计好的话术,编造着一个又一个身份。今天,我可以是美国成功人士;明天,我可以是日本投资顾问;后天,我又可以变成一个温柔漂亮的女人,或者一个事业有成的老板。 我们不是演员,却每天都在演戏。为了业绩,我们学会了伪

🔥16🎉15👍13😁13106🥰2

12 Aug 2026, 13:14 UTC≈3,070 views74 reactionsread 12 August 2026
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华人富商花1亿买特朗普家族代币 一个正在被英国调查洗钱的华人富商,居然掏出1亿美元买了WLFI代币,其中最多7500万直接流进特朗普家族口袋。 据纽约时报昨天报道,这人叫郭仁周,英文名Bobby Zhou。2021年3月就因涉嫌洗钱被抓,调查到现在还没完,既没正式起诉,也没人拦着他继续大把花钱。 他的履历更离谱。早先在英国开地板零售公司,最后破产,还欠自己亲爹公司500万美元没还。转头就去搞加密,发了个叫Caduceus的项目,募资760万,结果代币到2024年基本归零,彻底成了空气。 就这么个货,2025年通过阿联酋注册的基金Aqua 1,砸了1亿美元买入WLFI,成了特朗普家族加密项目史上最大的单一公开投资人。而WLFI代币销售收入的75%归特朗普和他三个儿子控制的实体,意思就是这1个亿里最多7500万直接进了特朗普家族。 纽约时报细节还提到,埃里克·特朗普亲自飞去迪拜跟郭见面聊这笔投资。郭拿到代币后,到处拿着跟特

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12 Aug 2026, 12:44 UTC≈3,380 views71 reactionsread 12 August 2026
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梅州公安打掉虚假助贷团伙抓106人 广东省公安厅 ,梅州警方最近盯上了一个又坑又狠的诈骗团伙,传统骗术配上电信网络诈骗,线上线下一起搞,专门拿虚假助贷在全国坑人。一波波收网后,整个“信息端—引流端—线下端—话务端”犯罪链条被彻底端掉,106名嫌疑人落网,涉案金额超过380万元。 这帮货假借银行名义,给全国各地群众狂发虚假贷款诱导信息,先把人钓进来。接着专人盯着重疾患者、老年人、失业人员这些更容易上当的群体,用话术忽悠,再把他们推到本地线下“助贷公司”。这些公司挂着合法注册、正规写字楼的幌子,装得跟真正规机构一样,上门对接客户。他们瞎吹自己有贷款实力、内部审批通道、专属额度、超低利率,专坑那些不懂网贷的人,收什么“风险管理金”,一刀就割走网贷金额的25%。说白了,就是帮人代办那些自己就能申请的普通信贷,纯纯坑钱。 碰上想贷大额的受害人,他们明知办不下来,照样收贷款意向金额1%到2%的资料费。完了就拿“电话审核没过”当借口,直

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12 Aug 2026, 12:08 UTC≈3,230 views71 reactionsread 12 August 2026
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✈️✈️东南亚生活帮主营业务 🔥聚焦东南亚,为您提供一站式服务! 我们提供斯里兰卡🇱🇰、菲律宾🇵🇭、马来西亚🇲🇾、泰国🇹🇭等国家的各类服务,助您轻松融入东南亚生活与商业环境。 为您解决: 📋公司注册:专业指导,高效办理各国公司注册,助您开启商业征程。 📝签证办理:各类签证代办,省心省力,确保您的出行无忧。 🏥生活攻略:深度解析当地文化习俗、交通出行、教育医疗等,让您快速适应。 🌐商业服务:市场调研、商业对接、法律咨询等,助力您的事业发展。 👮政策解读:实时更新各国政策法规,为您提供权威解读,规避风险。 📣资源对接:搭建广阔人脉网络,为您匹配优质资源,拓展合作机会。 各国业务专线: 菲律宾🇵🇭: 1、来菲签证办理:个签(旅游签,商务签),团签,学签加急 2、各类移民局业务:工签,正常续签、降签、清关ECC、补盖章、补签证纸、补工签卡等 3、菲律宾大特赦SEC13、退休签SRRV、小特赦ASRV(待恢复)、投资签SIRV、

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12 Aug 2026, 11:59 UTC≈3,090 views71 reactionsread 12 August 2026
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#柬埔寨 #成都骗子 #刘豪杰 骗我近百万 我是四川成都人,之前在西港黄乐园区创亿集团当过总监的刘豪杰(凯文),国内通缉网上早有他的名字。 本来不想曝光,但时间给够了,耐心也耗完了。这货用感情套路我,从23年9月开始,我累计转账借给他将近100万人民币。后来才发现他有老婆小孩。到现在他还我的钱不到一万块,全是我辛辛苦苦上班挣的血汗钱。我承认自己恋爱脑,傻,蠢。 今天曝光你,我知道你能看到。给你3天时间,3天内不联系我,我就去国内立案。转账记录、聊天记录我全留着。不管你躲在东南亚哪个鬼地方,我都会动用所有资源和人脉把你挖出来。一旦立案,我保证给你办成专案,够你喝一壶。 就算你跑到天涯海角,我也要倾家荡产让人把你抓回来。不为别的,就是不想你继续去坑害别人。立案之后,我会每天开直播,直到东南亚所有人都知道你这货是什么德性。你自己掂量清楚。

🎉17😁16👍13🔥1310👏1🤩1

12 Aug 2026, 05:49 UTC71 views65 reactionsread 12 August 2026
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#柬埔寨 #曝光渣男 #宇白 #骗色传病 我是在柬埔寨蒙多基里园区做扶手的。 在包厢认识一个做资金盘的代理叫宇白,第一次点我就约我去酒店开房,我没去。后面他要包养我,一个月给1万美金,叫我不要上班。 我那个时候还有男朋友,男朋友也是跟他一个公司,都在大老板冬天下面做代理。他让我分手,我考虑了很久,再加上我男朋友爱赌,就分手了跟宇白在一起。 刚在一起一个月的时候我下面就很痒,一开始以为是熬夜上火,去打了几天消毒水就好了,这样反复几个月。后面医生感觉不对,让我去大医院做检查。医生问我有没有男朋友,我说有,他支支吾吾不说话,我瞬间明白了。 我回家就去问宇白是不是有病,他开始不承认,把我骗到老挝,后面控制我承认自己有艾滋病。当时我下面红肿,他让我先回国看,到时候给我钱治病。前面一直有给,后面直接不理我了。 在东南亚做扶手的姐妹一定要看清这个人,做资金盘诈骗中国人一波赚了几千万。姐妹们别被他的糖衣炮弹伤害。 爆 料 投 稿

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12 Aug 2026, 05:22 UTC666 views73 reactionsread 12 August 2026
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#柬埔寨 #西港 #小悦 勾引已婚男子 各位在柬埔寨的已婚男士玩要小心,别提上裤子就被人上位。 特殊行业躺赚梦早就碎了,西港夜店冷得开不了单,一堆老板失望跑路。 西港白沙皇宫的小悦已经回国,经济差了又来找以前的客户谋生。 这女的是白沙皇宫的从业人员,前年勾上我老公,去年在新加坡交易拿了钱就装清高,说介意有老婆,不喜欢见不得人的关系,故意拿捏。 可我老公后来还不是照样暗中跟她搞? 中途换号找我老公,没事就矫情暗示自己那里紧、自己高贵,催着赶紧离婚找她。 老实人擦亮眼睛,别把这种烂货当宝贝!

🎉15👍15🔥1514😁11🥰21

Showing the 12 most recent of 123 posts we hold for @dyy83. 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

Citation-graph rank — 445,826 of 1,151,006entries 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.

Mentions

Named by 4 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.

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.

Appears in Telegram’s recommendations for other channels

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.

东南亚(有话说)|曝光日记
@db933 · 191,505
Telegram ranks this channel #9 of 65 here — alongside 64 others — read 11 August 2026
今日全网曝光频道
@tx581 · 307,480
Telegram ranks this channel #18 of 40 here — alongside 39 others — read 10 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件|曝光|悬赏|投稿🏆” (@dyy83), 114,947 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/dyy83.

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.