Channel
@Dubai1817
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
85,717subscribers
-5,362 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001390835463 |
|---|---|
| Type | Channel |
| Username | @Dubai1817 |
| Description | 🇦🇪迪拜九尾大事件，谢谢你的关注 ☄️商务： @sanwushiqi 🇦🇪迪拜成为全球领先的商务和休闲目的地 🇦🇪让我们来一起探索迪拜 |
| Created | Between 1 April 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/Dubai1817 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 03:44 | 85,717 | -530 |
| 12 Aug 2026, 06:22 | 86,247 | -864 |
| 11 Aug 2026, 08:58 | 87,111 | -1,270 |
| 10 Aug 2026, 12:12 | 88,381 | -782 |
| 9 Aug 2026, 09:11 | 89,163 | -524 |
| 8 Aug 2026, 11:00 | 89,687 | -1,392 |
| 7 Aug 2026, 16:00 | 91,079 | no change |
| 7 Aug 2026, 15:51 | 91,079 | first reading |
94 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 19 pagesof 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 87 of 94 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 94 (7 August 2026 – 14 August 2026) |
| Views total | 149,100 |
| Reactions total | 147 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 08:35 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 14 August 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 32 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.
147 reactions across 87 posts, in 13 distinct kinds. The most used accounts for 61.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 90 | 61.2% | |
| 👍 | 16 | 10.9% | |
| 🔥 | 7 | 4.76% | |
| 🤣 | 6 | 4.08% | |
| ⚡ | 5 | 3.40% | |
| 👏 | 5 | 3.40% | |
| 🥰 | 5 | 3.40% | |
| 😁 | 3 | 2.04% | |
| 🤩 | 3 | 2.04% | |
| 🎉 | 2 | 1.36% | |
| 👌 | 2 | 1.36% | |
| 💩 | 2 | 1.36% | |
| 🖕 | 1 | 0.68% |
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 87 of the 94 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 147reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 94 most recent posts we hold, published 7 August 2026 to 14 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.
驾驶位真的空了！迪拜Robotaxi正式进入纯无人运营，我们为你亲测一次真实的未来出行体验！ 其实，Robotaxi并不是突然出现在迪拜街头的。 早在2025年4月，文远知行就已经与迪拜道路与交通管理局（RTA）、Uber展开自动驾驶项目合作。同年12月，WeRide Robotaxi开始通过Uber App向公众提供试乘服务，不过那时候车内仍然配备专业安全员，通过实际道路运营持续进行测试和验证。 经过这一阶段的测试和监管审批后，2026年3月31日，文远知行与Uber正式宣布在迪拜启动纯无人Robotaxi商业化运营。这次真正发生变化的，并不是换了一个运营名称，而是车辆从“有人在车里随时准备接管”，进一步走到了真正没有驾驶员的阶段。 对于普通乘客来说，叫车方式倒没有想象中复杂。目前乘客可以在Uber App中选择“Autonomous”选项，并根据页面提示前往指定上车点，车辆匹配以及具体上下车位置则以App实时显示为准…
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网络上流传一段发生在缅甸泰缅边境“三佛塔园区”的人员遭殴打视频 据流传画面显示，疑似有人员在园区内遭到暴力对待，现场情况令人震惊。三佛塔地区位于缅甸与泰国交界地带，近年来因部分跨境电信诈骗活动受到关注。此前，多起相关事件曝光，受害者曾讲述在当地园区内遭限制自由、殴打以及强迫从事诈骗活动的经历。 ⚠️导航频道:@Dubai19180 📣订阅频道:@Dubai1817 💬投稿爆料:@sanwushiqi 【飞机中文包】【签证查询】【迪拜聊天群】 【迪拜二手物品】
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#国际资讯：万里赴缅：数千非洲人如何进入妙瓦底诈骗园区？ 近年来，位于泰缅边境地区的诈骗产业持续受到国际关注。其中，一个长期存在的疑问逐渐浮出水面：大量来自非洲多个国家的人员，是如何跨越近万公里，最终进入缅甸妙瓦底一带的诈骗园区？ 据当地相关信息显示，妙瓦底以及泰国来兴府湄索县、朴帕县沿莫艾河一带的部分诈骗窝点内，曾出现大量非洲国家人员身影。这些人员来源涉及多个国家，其中部分人声称是受到高薪工作招聘吸引，自愿前往；也有人表示遭遇虚假招聘、欺骗甚至人口贩卖，最终被困诈骗园区。 据了解，部分人员的跨境路线十分复杂。他们可能从非洲多个国家出发，经航空交通抵达东南亚，再进入泰国境内，随后前往泰缅边境地区，最终通过非正规渠道进入缅甸妙瓦底相关区域。 这一过程中，多个环节引发外界关注。 首先，在入境环节，大量人员需要办理泰国签证并留下相关资料。如果背后存在中介或组织协助办理，那么签证申请材料、代理机构以及相关人员是否能够被追踪，成…
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洪森致电慰问朱镕基夫人：铭记免除柬方债务的深情厚意 8月13日，柬埔寨参议院主席洪森向中国国务院原总理朱镕基的夫人劳安女士致唁电，对朱镕基同志的逝世表示深切哀悼，并向劳安女士及家人致以诚挚慰问。 洪森在唁电中特别强调，朱镕基同志的逝世是柬埔寨失去了一位崇高而仁慈的伟友。他深情回顾道，2002年朱镕基总理对柬埔寨进行正式访问期间，曾代表中国政府正式宣布免除柬埔寨欠中国的所有到期及逾期债务。 洪森指出，当时柬埔寨刚结束数十年内战、实现全面和平，正处于百废待兴的重建关键期，这一举措对柬埔寨的恢复与发展给予了无与伦比的支持。 洪森表示，朱镕基同志是倾尽毕生精力服务国家和人民的杰出政治家，他为中国经济改革与发展作出了卓越贡献。 洪森代表柬埔寨参议院及全体柬埔寨人民表示，朱镕基同志对柬埔寨人民的深情厚谊以及为中柬关系作出的巨大贡献，柬埔寨人民将永远铭记于心。 ⚠️导航频道:@Dubai19180 📣订阅频道:@Dubai1817…
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C罗结婚了 两人交往将近十年后，最近在葡萄牙卡斯卡伊斯举行了小型民事婚礼，孩子们也在场。 8月11日，他们在Instagram发了一张两人戴着婚戒的手部特写，配文就两个字：“C G”。 正好一年前的同一天（2025年8月11日），乔治娜发了订婚戒指照片，说“是的，我愿意。这一生和所有的来生都愿意。” 他们的故事很浪漫：2016年，乔治娜当时22岁，在马德里Gucci店当销售。罗纳尔多去店里购物，两人就这样认识了。几天后在另一场活动再见面，互相都觉得是一见钟情。 ⚠️导航频道:@Dubai19180 📣订阅频道:@Dubai1817 💬投稿爆料:@sanwushiqi 【飞机中文包】【签证查询】【迪拜聊天群】 【迪拜二手物品】
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#马来西亚资讯：吉打州移民局突击搜查兰卡威一处建筑工地，拘留104名非法移民 吉打州移民局局长莫哈末·里祖安·莫哈末·扎因表示，此次行动于下午 3 点 15 分开始，由移民行动小组和执法部门的 15 名官员和成员参与，他们根据收到的信息开展了一次特别行动小组 移民局强调，将继续毫不妥协地持续开展执法行动，打击该州境内的非法移民。“对于任何被发现雇用、保护或为违反移民法的外国人提供保护的雇主或个人，也将采取严厉措施， ps： 马来西亚的外劳真的抓不完 ⚠️导航频道:@Dubai19180 📣订阅频道:@Dubai1817 💬投稿爆料:@sanwushiqi 【飞机中文包】【签证查询】【迪拜聊天群】 【迪拜二手物品】
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中泰警方联合侦破一起跨国信用卡盗刷案 中国公安部8月13日通报：近日，公安部与泰国皇家警察总署密切协作，同步对一起专门针对中国公民的重大跨国信用卡盗刷案开展收网行动，摧毁多个犯罪窝点，分别抓获4名中国籍犯罪嫌疑人和5名泰国籍犯罪嫌疑人，取得重大战果。 2025年，公安部经侦局指导协调上海公安经侦部门研判发现一个针对我国公民实施信用卡盗刷的跨国犯罪团伙，并及时将案件情况和协查请求通报泰国警方，开展国际执法合作。 经查，2024年，犯罪嫌疑人计某与肖某共谋，由计某在泰国开设果干店为幌子，以使用银联卡消费打折为诱饵，非法获取受害人信用卡信息。随后，由肖某制作伪卡，招募刷手实施盗刷和销赃牟利。截至目前，已查明涉案金额达500余万元人民币。 今年7月初，公安部派工作组赴泰国，与泰警方开展联合办案，精准研判该犯罪团伙组织架构、核心骨干、作案窝点，全面掌握其作案模式和资金流向。 近日，两国警方同步开展收网，实现案件全环节部署、全要素…
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#群友投稿：本该像花一样的年纪尽情绽放，享受美好的青春，但是她的生命就此凋零！点亮一盏灯，照亮天堂的路，愿天堂里没有病痛，没有痛苦，没有烦恼🙏🙏🙏 nita时间原因来不及亲自去送你最后一程，愿天堂没有痛苦一路走好🥹 才20岁你们这些畜生也下的了手、希望尽快找到凶手严惩 😡😡😡 目前凶手信息 暂定一男一女。禽兽不如 最后提醒广大女性交友需谨慎特别自己一个人住少点带朋友去自己的住处，以免发类似的惨案。 ⚠️导航频道:@Dubai19180 📣订阅频道:@Dubai1817 💬投稿爆料:@sanwushiqi 【飞机中文包】【签证查询】【迪拜聊天群】 【迪拜二手物品】
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3️⃣⚡️😎0️⃣🌟0️⃣😀😀😀😀😀😀 😀 【场馆我们选，责任我们扛｜这才是U8的底气】 😀 近日某场馆“漏洞事件”闹得沸沸扬扬。 😀 有些平台平时欢迎会员来玩，一到会员赢大了，就开始搬出“套利”“内部勾结”“场馆漏洞”等理由，拖审核、卡出款、把责任全甩给玩家。 😀 会员赢几百万就开始找借口，问题真在场馆吗？说到底，不是场馆有漏洞，是平台实力有漏洞！ 😀 U8的态度只有一句：敢让会员玩，就要敢给会员出。场馆是U8精选的，责任就由U8承担。只要会员正常投注、凭本事赢，该出的，一分不少！ 😀 牛逼不是吹的，实力也不是喊的。平台敢收，更要敢付；会员赢了以后痛快兑现，才是真正的行业底气！ 😀 U8 全线场馆同步开启。😀😀、😀😀、😀😀、😀😀、💰💰等多种玩法，陪你度过每一个瞬间。 😀 来U8，你尽管赢，出款交给我们！ 😀 官方信息入口： 😀😀😀😀😀： U8ZCM.COM 😀😀😀😀😀： @U8BYDCOM 😀U8官方客服： @…
他问我们在阿联酋是否幸福 周二傍晚，阿布扎比Mushrif Mall的Lulu超市里，突然来了阿联酋总统谢赫·穆罕默德。 他没搞正式巡视，就跟普通老百姓一样在超市里转，握手、自拍、聊天，待了差不多50分钟。 员工说，领导提前交代：别清场、别拦人，一切照常。总统走到哪儿，大家就喊他、找他握手拍照，他都尽量回应。 他还专门看了本地农产品，问质量、价格、顾客反馈，还不停问员工：“你们在这儿开心吗？有没有意见？” 有个保安被他拍了拍背，夸了句“干得好”，旁边的人都感动得不行。印度大叔阿卜杜勒·拉赫曼说：“高峰时段他也不赶，像走亲戚一样。大家把他当家长，叫他、跟他说话都很亲切。”他还专门和员工一一聊天，问工作几年了，认真听他们说话，最后还合了影。大家都说：总统不是高高在上，而是真的走在人群里，关心大家开不开心。 ⚠️导航频道:@Dubai19180 📣订阅频道:@Dubai1817 💬投稿爆料:@sanwushiqi 【飞机…
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美国国务院发布提醒：关注中国“限制出境与拘留”措施 近日，美国驻华使领馆官方账号发布信息称，美国国务院更新中国旅行安全相关提示，提醒在华人员关注所谓“限制出境与拘留”风险。 信息中提到，中国政府可能通过限制个人出境措施，影响部分人员离境。美方列举的相关情况包括： 一、要求个人配合中国政府相关调查； 二、对海外家庭成员施加压力，促使其返回中国； 三、在民事纠纷过程中，对相关中国公民采取限制措施； 四、获取与外国政府谈判相关的信息。 美国国务院建议在华人员提高风险意识，了解当地法律环境，并关注自身出行安全。 该提醒引发外界关注。近年来，随着国际人员往来增加，各国政府也持续发布针对海外旅行、法律风险和人员安全的相关提示。 ⚠️导航频道:@Dubai19180 📣订阅频道:@Dubai1817 💬投稿爆料:@sanwushiqi 【飞机中文包】【签证查询】【迪拜聊天群】 【迪拜二手物品】
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#广告认证✅ 原装正品，假一赔万 湘潭铺子枸杞槟榔 50紫气东来🐺 100一代天骄🐺 200果礼贵槟🐺 全阿联酋配送上门📦 支持在微信品牌方伍子醉 官方小程序湘潭铺子会员中心 扫码领红包和积分🧧 有阿联酋地区批次号标识® 生产批次号 3 码合一， 外袋/内袋/红包页码 客服 1：@UAEGOUQIBINGLANG 客服 2: @deyidi9299 双向联系机器人：@gqblbot 频道： https://t.me/dubaigouqibingliang
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Showing the 12 most recent of 94 posts we hold for @Dubai1817. 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 — 656,225 of 1,336,469entries 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.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Named by 2 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.
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.
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 7 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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“🇦🇪迪拜大事件I九尾曝光I全球新闻IDuBai生活资讯攻略🇦🇪” (@Dubai1817), 85,717 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Dubai1817.
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.