Channel
@dyy83
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
107,960subscribers
-11,186 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1001451326306 |
|---|---|
| Type | Channel |
| Usernames | @ay964 @baoguang117 @dyy83 @qy812 |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 26 October 2026 |
| Measurements held | 180 |
| Confirmed unchanged | 1 time, most recently 26 October 2026 |
| On Telegram | t.me/dyy83 |
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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Oct 2026, 17:27 | 107,960 | -160 |
| 26 Oct 2026, 12:51 | 108,120 | -119 |
| 26 Oct 2026, 09:39 | 108,239 | -1,068 |
| 25 Oct 2026, 20:26 | 109,307 | -343 |
| 25 Oct 2026, 15:36 | 109,650 | -111 |
| 25 Oct 2026, 13:55 | 109,761 | -155 |
| 25 Oct 2026, 09:54 | 109,916 | -463 |
| 24 Oct 2026, 20:30 | 110,379 | -241 |
| 24 Oct 2026, 13:18 | 110,620 | -108 |
| 24 Oct 2026, 10:35 | 110,728 | -18 |
| 24 Oct 2026, 09:25 | 110,746 | -1,050 |
| 23 Oct 2026, 18:05 | 111,796 | -281 |
| 23 Oct 2026, 14:05 | 112,077 | -16 |
| 23 Oct 2026, 13:50 | 112,093 | -124 |
| 23 Oct 2026, 11:59 | 112,217 | +563 |
| 22 Oct 2026, 16:04 | 111,654 | -81 |
| 22 Oct 2026, 14:41 | 111,735 | -23 |
| 22 Oct 2026, 14:14 | 111,758 | +2,451 |
| 22 Oct 2026, 10:36 | 109,307 | +3,910 |
| 21 Oct 2026, 13:59 | 105,397 | first reading |
1,645 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 167 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 600 of 602 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 | 1,645 (7 August 2026 – 26 October 2026) |
| Views total | 2,677,637 |
| Reactions total | 44,913 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Oct 2026, 15:01 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.
Measured directly from 253 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.
72,914 reactions across 994 posts, in 11 distinct kinds. The most used accounts for 19.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 14,110 | 19.4% | |
| 🎉 | 14,061 | 19.3% | |
| 👍 | 13,980 | 19.2% | |
| 🔥 | 13,942 | 19.1% | |
| ❤ | 13,008 | 17.8% | |
| 🤩 | 982 | 1.35% | |
| 👏 | 970 | 1.33% | |
| 🥰 | 944 | 1.29% | |
| ⚡ | 915 | 1.25% | |
| 🤔 | 1 | 0.001% | |
| 🤗 | 1 | 0.001% |
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 994 of the 1,000 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 72,914 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 8 September 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.
#马来西亚 森林城市3个月抓325名中国籍涉诈人员！ 10月26日，马来西亚柔佛州森林城市接连出现电诈窝点一事再次引发关注。过去3个月，警方先后在当地展开两轮大规模扫荡，共抓获351名涉诈嫌疑人，其中325人为中国籍。 随着多处住宅被发现用作诈骗窝点，森林城市的治安问题引发居民和海外业主担忧，项目管理层宣布加强安保，并计划设立永久性警局。 ✅大事件｜曝光｜悬赏｜投稿 @qy812 ✅投稿/商务合作 @zls33
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📱#Telegram 部分地区炸了
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😂🙏🫡🙇♂️｜幸运限定转盘 🎉 中秋遇国庆 · 双节同庆狂欢10天 🎉 单笔有效投注满1️⃣0️⃣ USDT解锁活动 · 累计投注赢转盘机会 🩷❤️🧡💛💚 🩷❤️🧡💛 🩷❤️🧡💛 ——————【双节四重福利】—————— 🟢 双节体育包赔券 享50%体育包赔，单张最高返还288 USDT 🟢 双节充值优惠券 充值额外加赠10%，单次最高赠288 USDT 🟢 双节现金红包 幸运抽取1.8、8.8或88 USDT现金红包 🟢 双节实物大奖 参与幸运转盘，有机会赢取iPhone Duo ———————【双节幸运奖池】—————— 💎 单笔有效投注满10 USDT，解锁活动资格 💎 累计有效投注满25 USDT，获得转盘机会 💎 累计投注越高，获得的转盘次数越多 💎 达到最高档位，可获得9次转盘机会 ——————【节日任务】—————— ✅ 每日登录领取节日福利 ✅ 完成指定充值解锁奖励 ✅ 完成有效投注领取现金 …
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港电诈园区洗钱有关，一名中国男子被引渡美国 美国司法部近日披露一起涉及柬埔寨西港电诈园区的跨国诈骗洗钱案。犯罪团伙诈骗174名美国人，涉案金额超过3690万美元，部分赃款最终流向西港等地的诈骗园区。 据美国司法部10月23日通报，44岁中国籍男子赵征（Zheng Zhao，音译）因涉嫌参与该诈骗网络的洗钱活动，近日从荷兰被引渡至美国，并已在加利福尼亚州联邦法院出庭。 美国检方指控，该团伙通过社交媒体、短信和交友软件接近美国受害者，骗取信任后，诱导他们在虚假的加密货币投资平台上投入资金。 那么，这些从美国人手中骗来的钱，是如何流入柬埔寨电诈园区的？ 根据美国司法部披露的资金流向，受害者的钱首先进入犯罪团伙控制的美国银行账户，随后被转入巴哈马的德尔泰克银行（Deltec Bank），兑换成稳定币USDT。这些USDT随后被转入由柬埔寨方面控制的数字钱包，再分发给西港等地诈骗园区的负责人。 美国司法部2025年6月9日公布的…
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#POGO禁令 菲律宾房地产大佬大卫·李秋，曾公开支持离岸博彩运营商，如今却开始批评面向菲律宾本地居民的网络博彩。 10月25日，他表示，政府虽然能从博彩业获得税收，但如果这些收入来自普通民众不断增加的赌博支出，最终买单的可能是一个个菲律宾家庭。原本用于教育、医疗、房贷和日常生活的钱，一旦大量流入博彩平台，家庭经济压力也可能随之增加。
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🫥😄😄😄😄😄😄😄😄😄 🫥🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆 🫥🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆 😀云购入口: @yyyg 😀云购网址: yyyg.com 🫥一元云购主营商品： 🏆🏆🏆🏆🏆🏆🏆 🏆🏆🏆🏆🏆 🏆🏆🏆🏆🏆🏆 🏆🏆🏆🏆🏆 🏆🏆🏆🏆🏆 🏆每消费1USDT即可获得1积分，积分可用于积分抽奖或者兑现成USDT，最低80积分兑换1USDT 🏆🏆🏆🏆🏆🏆🏆 🏆🏆🏆🏆🏆🏆🏆🏆🏆 😎新手入门 😎 视频教程 🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆🏆 注：中奖后可选择实体发货或选择兑现成USDT进行提现。 🏆官方频道: @yyygpd 🏆VIP交流群: @yyygjlq 🏆官方客服: @yyyg01 @yyyg03
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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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#菲律宾新闻 POGO犯罪集团或为2028年大选提供资金 菲律宾众议院调查委员会（House）检方顾问阿塞·巴伯斯（Ace Barbers）呼吁执法部门和金融情报机构，调查非法菲律宾离岸博彩运营商（POGO）与政治资金之间是否存在关联。 他警告称，犯罪集团可能利用非法所得资助政治人物，以换取政治庇护。 巴伯斯表示：“如果这些报道属实，我们就必须立即采取行动。追踪资金流向，查明出资人，揭露他们的政治关系，并针对所有参与这一计划的人建立证据确凿、无懈可击的案件。” 他援引了菲律宾娱乐博彩公司（PAGCOR）发言人温斯顿·卡西奥（Winston Casio）此前发出的警告。卡西奥指出，残存的非法POGO运营网络可能会为候选人提供资金，以换取对其非法活动的保护。 巴伯斯呼吁菲律宾国家警察、国家调查局、菲律宾武装部队（AFP）情报部门、总统反有组织犯罪委员会、反洗钱委员会以及选举委员会加强协调，共同追踪涉嫌非法资金，并调查有组织…
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#群友投稿：马来西亚中介渲染刷签容易被遣返，泰国中介就鼓吹入境一定要保关，都是在放大恐慌、制造紧张感，收割中介费。 我持柬埔寨商务签，护照上满满的白色贴纸签证，有两页。上个月从吉隆坡飞甲米入境泰国，排队到我时，已经是最后一个。 海关没有扣留我，只是检查了返程机票和酒店订单。看到我柬埔寨的签证贴纸后，问我在柬埔寨做什么。我如实告知是在当地工作，同时出示了工作相关照片，顺利放行。当时，海关在签证和贴纸的上角都画了一道小横线，我一度以为这是预警记号，还担心以后再来泰国都得找保关才能进来。 这次飞泰国之前，刷到很多网上的负面消息，身边朋友也都说，拿着柬埔寨签证进泰国必须保关。我仔细想了想，返程机票、酒店订单我全都有，也有在柬埔寨工作的证明材料，本来就没有无故遣返我的理由。但出发前，还是做好了心理准备，不确定海关会不会专门卡持有柬埔寨签证的人。没想到，这次入境顺利得超出预期，海关没有多问一句，直接盖章放行。 说白了，持柬埔寨签证入…
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#寻人启事 寻人启事！寻人启事！ #缅甸寻人 东南亚做灰产的中国同胞们，但凡在缅甸妙瓦底、亚太、御龙湾、交克、将军山、三佛塔这些地方有熟悉的公司或者朋友可以帮忙找一下我们龙哥吗？我们龙哥丢了，被他一个朋友接出去就失联了，现在我们怀疑他可能被卖了或者遭遇了其他不测！ 事情是这样的：我们一直跟着一个叫龙哥的大哥做欧美盘，之前一直在柬埔寨打野。由于柬埔寨打击电诈力度越来越坚定。龙哥只好给我们选择其他稳定的地方做事。 龙哥之前有一个朋友叫阿耀，阿耀得知了我们的处境之后，他跟龙哥表示在缅甸妙瓦底这边跟军方关系很好，可以提供场地让我们能够安心做事。并且这个阿耀也在不断地跟龙哥套话。一直询问龙哥这边能拿得出多少钱来投资场地。龙哥跟他也坦白的说了他的usdt存款，总共差不多有20万u。 就这样我们一行11个人从柬埔寨飞泰国。阿耀给安排泰国司机把我们接到了妙瓦底这边。来到这边之后阿耀这边并没有出面，而是叫了一个人出来接待我们。这个…
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#网友爆料：缅甸妙瓦底梅拉园区有一家叫“汇金集团”的公司，老大叫侯哥，总监叫林泽，团长叫16，人事叫金水。 就是他们把我弟弟阿磊从国内骗到了园区，每天逼他工作16到18个小时，不愿意干就打人。就算交了赔付，也照样把人卖掉。 我们家人已经报警，所有录音和视频证据也都提交了。等着吧。
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#网友投稿：《我叫阿威，一个纯废物的跪地人生》 我承认啊，我阿威这辈子就是个一无是处的纯废物。 三十二岁了，从湖北一路混到偷渡妙瓦底，穷得响叮当，连做个黑产跑分都只能拿可怜兮兮的“一个点”。不仅穷，我还长得丑，身上天天散发着一股洗不掉的馊臭味，连我自己闻着都想吐。 可那又怎么样？我阿威连鸡都跪过！尊严对我来说算个什么东西？只要能苟活，我随时能扑通一声跪下。得不到的，我就想彻底毁掉。跪得久了，我连怎么站着做人都忘了。 每天守着妙瓦底那台破电脑，就是我唯一的“高光时刻”。我在网络上四处作威作福、狂吠骂人、到处发疯，假装自己是个不可一世的硬汉。可网线一拔，我依然是那个散发着臭气、靠着一个点提成苟延残喘、穷酸又丑陋的软蛋。 他们说我是垃圾、是社会毒瘤，我觉得一点都没错。我阿威就是这么个又穷、又丑、又臭、一无是处的烂货。 我承认啊，我给挺多人下跪过。反正我的人生早就烂透了，得不到就毁掉，跪着当废物，挺好。
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Showing the 12 most recent of 1,645 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.
Named by 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
@dyy83 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 14 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 26 October 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), 107,960 subscribers as measured 26 October 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.