#网友曝光 look work pro 翻译器偷我的大客户,已经转账很多笔,然后联系“look work pro 翻译器客服还进行狡辩,以团队已经不运营,小小客服咋知道这些为借口。 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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Channel
@DB405
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
57,401subscribers
+7,546 since we began measuring on 11 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001657820992 |
|---|---|
| Type | Channel |
| Username | @DB405 |
| Description | 迪拜大事件,疑难杂症来问我 为全球华人分享中东文化,一起看最美的中东 🌍 投稿爆料: @qt685 🈴 商务合作: @qt685 |
| Created | Between 1 December 2021 and 31 May 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 11 August 2026 |
| Last confirmed live | 8 October 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 8 October 2026 |
| On Telegram | t.me/DB405 |
International 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 84% 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 |
|---|---|---|
| 8 Oct 2026, 18:36 | 57,401 | -290 |
| 4 Oct 2026, 09:37 | 57,691 | -888 |
| 25 Sept 2026, 19:41 | 58,579 | -1,149 |
| 19 Sept 2026, 07:01 | 59,728 | +3,891 |
| 16 Sept 2026, 17:38 | 55,837 | +2,102 |
| 14 Sept 2026, 17:37 | 53,735 | +2,250 |
| 13 Sept 2026, 05:01 | 51,485 | +265 |
| 11 Sept 2026, 06:59 | 51,220 | +2,241 |
| 8 Sept 2026, 08:20 | 48,979 | +1,813 |
| 5 Sept 2026, 01:55 | 47,166 | -656 |
| 3 Sept 2026, 09:36 | 47,822 | -937 |
| 2 Sept 2026, 00:33 | 48,759 | -371 |
| 1 Sept 2026, 04:04 | 49,130 | -475 |
| 31 Aug 2026, 05:57 | 49,605 | -429 |
| 30 Aug 2026, 03:54 | 50,034 | -939 |
| 29 Aug 2026, 00:44 | 50,973 | -883 |
| 27 Aug 2026, 23:27 | 51,856 | +821 |
| 27 Aug 2026, 02:12 | 51,035 | -278 |
| 26 Aug 2026, 03:03 | 51,313 | -483 |
| 25 Aug 2026, 05:54 | 51,796 | first reading |
866 posts held, back to 11 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 116 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 384 of 429 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 9 October 2026 |
|---|---|
| Posts held | 866 (11 August 2026 – 9 October 2026) |
| Views total | 1,497,586 |
| Reactions total | 3,089 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Oct 2026, 18:16 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 9 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.
Measured directly from 257 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.
5,874 reactions across 746 posts, in 29 distinct kinds. The most used accounts for 12.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🥰 | 759 | 12.9% | |
| 👏 | 735 | 12.5% | |
| 🤩 | 726 | 12.4% | |
| 👍 | 716 | 12.2% | |
| ⚡ | 705 | 12.0% | |
| 🔥 | 700 | 11.9% | |
| 🎉 | 671 | 11.4% | |
| 😁 | 633 | 10.8% | |
| ❤ | 59 | 1.00% | |
| 🙉 | 39 | 0.664% | |
| 👾 | 33 | 0.562% | |
| 🤡 | 33 | 0.562% | |
| 🦄 | 29 | 0.494% | |
| 😍 | 7 | 0.119% | |
| 🤷♀ | 4 | 0.068% | |
| 👻 | 3 | 0.051% | |
| 😴 | 3 | 0.051% | |
| 🤪 | 3 | 0.051% | |
| 🍓 | 2 | 0.034% | |
| 🐳 | 2 | 0.034% | |
| 9 further kinds | 12 | 0.204% |
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 746 of the 866 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 5,874 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 866 most recent posts we hold, published 11 August 2026 to 9 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @DB405. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 866 most recent posts we hold for this entry, published 11 August 2026 to 9 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
#网友曝光 look work pro 翻译器偷我的大客户,已经转账很多笔,然后联系“look work pro 翻译器客服还进行狡辩,以团队已经不运营,小小客服咋知道这些为借口。 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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加纳突查跨国电诈窝点: 130余人被捕或控制,涉案损失近千万美元 当地时间10月8日,美国联邦调查局局长卡什·帕特尔公布,加纳近日开展行动,打击针对美国居民的跨国电信诈骗窝点。行动中,130余人被逮捕或控制,执法人员查获300多部电子设备。目前已确认89名诈骗受害者,涉案损失接近1000万美元。 此次行动于9月25日至28日展开,由加纳执法部门主导,美国联邦调查局和英国国家犯罪调查局提供协助。加纳方面表示,行动是多国合作的成果,并非由美国联邦调查局单独完成。 加纳通信部长塞缪尔·乔治指出,被控制的人员中并非全是诈骗嫌疑人,也包括遭犯罪团伙控制的受害者。部分人员将被遣返回原籍国。乔治同时批评美方在介绍行动成果时,未充分体现加纳执法部门的贡献。 此次行动是美国联邦调查局全球反诈“停电行动”的一部分, 相关调查仍在继续。 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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#网友爆光 😜 私密档案室 🐈 西港小鸡巴 没钱也来吃霸王餐 身边没有一个朋友 全被他骗的苦不堪言 没有道德底线 满嘴谎话 给了十天时间给他 现在信息已读不回 也不说解决这个事 一个态度都没有 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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😜出抖音手机版: 🗑满月辅助实名白 设备干净无需挂 IP上 📱国卡当天实名 白 无视 IP 包秒死 包48小时掉实名 包永久不找回 接码一个月 一号一链接 📱国卡私人1-12个月递推实名抖音 无视ip 包秒死 包永久不找回 可上pc网页版 📱国卡私人实名千粉3000-5000粉丝可网页 📱国卡私人实名万粉抖音可上手机 网页版 pc 包登陆 包秒死 帮忙改资料 发作品 接码1200元 📖单太📖双太📖三太 📖皇冠 可挑选账号 不弹窗 加人不过滤 📱快手系列📱小红书系列😏钉钉系列 😏钉钉售后 包秒死10分钟 包永久不找回 登录方式邮箱号➕密码接码直登 可代上云机 可直登手机 🀄️探探注册号🀄️探探月号🀄️探探年号 🉑代充探探币 🉑代开会员 🀄️可代充陌陌币 可代开会员 陌陌售后包登陆 秒死10分钟 可以解封 📱微博系列 📱微博白号大量现货📱📱 📱信用分420-499 3年以上老号 📱信用分500-569 3…
#越南新闻 涉运输35块海洛因案通缉犯落网,身带上膛手枪 越南凉山省警方10月7日通报,一名因涉嫌运输35块海洛因而被列为特别危险通缉犯的男子被抓获。警方从其身上缴获一把军用枪支及12发子弹,其中一发已上膛。 被捕男子为43岁的方文奇(Phương Văn Kỳ),越南凉山省人。警方称,他在逃亡期间长期躲藏于边境附近的森林及废弃简易棚屋内,并随身携带枪支,准备在遭遇抓捕时抵抗。 警方锁定其活动区域后,部署4个行动小组进行秘密伏击。10月4日15时30分左右,警方发现方文奇出现在林区边缘,准备购买毒品供自己吸食,随即实施抓捕。 搜查发现,方文奇携带一把军用枪支和12发子弹,其中一发已装入枪膛。 警方称,方文奇涉嫌吸毒。逃亡期间,他白天通常藏身森林,晚上才返回取食物并购买毒品。 方文奇初步供述称,逃亡期间一直携带枪支和弹药,并准备在被警方发现时进行反抗。 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 …
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UK物业群内容:警察来这里目标是直接去要去27楼 ,警察找物业拿钥匙,但是物业一直拖着,导致27楼诈骗公司知道消息 开始爬楼逃跑,被抓的正常住户,在警察局里经历了70-80人 挤在一个闷热潮湿的小房间 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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#网友投稿 实居省一家工厂爆发工人抗议,因老板未按承诺足额发放工资,大批工人目前正在4号国道上堵路维权。 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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#网友投稿:近期Telegram888开头的靓号段遭到黑灰产利用自动化脚本批量跑号、抢号。 这些脚本不间断扫描号码池,自动查询并抢占888靓号资源。抢到的靓号很可能被转卖到账号交易市场,最终流入电诈等网络黑产领域。 提醒大家,如果无故收到验证码,直接忽略,不要泄露给他人。利用自动化脚本批量抢号属于网络黑灰产行为,这类账号很容易被用于跨境诈骗等违法活动。 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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#网友爆料 这个cs吃我40万,跟我说做代付,想着认识几年了,没有去多想,什么都没管,分了两个月钱几万块,26号凌晨跟我说国内做事的小弟被抓了,让我不要联系他这个大飞机了,联系图片里发我的飞机,结果几天不回一个信息 说老大不让他联系外面的人,说他老大正在处理这个事情,29号通了一个电话,说国庆节结束会处理好,tmd29号人就联系不上了,一直到现在,小飞机直接不上线了 打飞机一直有上线不看你信息,老罗我不想做的那么难看,你非要搞的那么不体面,我也恶心死你,让你身边的人看看你的人品 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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#网友投稿 长长久久打野 在河内富川的公寓里面渡过了整整六个月的打野生活意犹未尽的就搬去了新地方谅山, 对于公司的这个安排我们虽有不满的情绪但为了赚钱不得不照做,不想离开河内的原因无非是对这边更熟悉吃喝玩乐更方便。 截止到十月份搬来谅山打野有二十多天的时间,我们部门是由主管现场监督指挥带着两组人马的老乡团队租住在同一栋公寓里面打野办公。其实我们公司在河内还有好多个部门继续在那边的公寓里面打野,分散开在河内的梅林富川美德各个不同的郡县。公司一直在严厉禁止我们不同部门的人在现实中串门来往。 公司如果有人发现私自带人去公司的打野公寓里面可以举报拿大额奖励,早在去年公司因为有员工经常在不同部门的打野公寓里面串门被人举报端了。被抓的几间公寓里面的所有员工领导已被遣返回国,这批遣返回国的人反手在国内又举报揭发了公司的盘总,盘总很慌此后就一直严厉禁止手底下的员工们有密切来往的行为。近一年半载其实在河内甚至在整个越南中大型城市分散开打野绝…
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#苏刚 #陈彦虎 #欠钱跑路 #狗 兄弟们,这俩人我算是看透了,不装了,摊牌了,护照直接上。 苏刚,1600U;陈彦虎,1000U。一个比一个会演。苏刚前两天借钱的时候说得那叫一个惨,什么家里出事、急等用钱,眼泪都快下来了;陈彦虎更绝,拍着胸口说三天必还,不还他是狗。结果呢?钱一到手,俩人不约而同玩起了消失,飞机注销、宿舍清空,连句交代都没有,难道我的钱就是大风刮来的吗? 苏刚、陈彦虎,你俩的护照,我已经挂出来了,不是我要把事做绝,是你们先不要脸的。护照全网曝光,熟人自己认领,公司自己查,我也告诉你们家里你们的情况了。欠的钱不用还了,当喂狗了。 🐫 点击订阅迪拜华人大事件曝光 ⭐ 投稿爆料: @qt685 ⭐ 业务合作: @qt685
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#网友投稿 #诸葛愷 太子集团漏网之鱼 凡嘉,浙江人 真名诸葛愷 1985年 😜 私密档案室 🐈 此人目前在马来,他是23年到柬埔寨财通金运园区开设国内资金盘创大集团,每天都说整个园区都是他的天下他想干嘛就干嘛,弄死一两个人不要太简单了,每天都在吸毒,还被他的好兄弟关在园区房间里一个月帮他戒毒,还带毒品回国,在外一直说自己是柬埔寨木牌大莱利娱乐赌场股东太子爷直属太子集团,我是24年被这个狗杂种骗过来柬埔寨当时给我说是来给他开车,到柬埔寨都没有见面下飞机他直接安排车把我送到财通金运园区,跟我一起的还有30多个人都是被此人所卖到创大听说一人最少值一万美金,在园区里面每天都在打K玩开心水,曾经还带了一大包k粉回国,每天在金运园区手机不允许拿,楼不准下,没有业绩就拖到后勤办公室打,也是在25年底大扫荡公司从财通大搬家先是搬到金湾3,然后金湾3扛不住了大检查就搬到木牌我才侥幸跑脱,出来都是为了搞钱的,这个狗杂种天天想的是怎么样去…
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Showing the 12 most recent of 866 posts we hold for @DB405. 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.
@DB405 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
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.
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 22 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 8 October 2026 — this entry's latest reading, not the date you are reading this.
“迪拜华人大事件|新闻|曝光” (@DB405), 57,401 subscribers as measured 8 October 2026. Telegram Register, tgregister.com/channel/DB405.
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.