Wynn Al Marjan Island 亮出550米私人海滩,2027年阿联酋开业倒计时 拉斯海马这个超大度假村,终于把海边的样子露出来了!550米长的私人海岸线、泻湖和人工礁都搞定了,2027年正式开业。 这是Wynn集团第一次做海滨度假村,也是阿联酋第一个综合博彩度假村。 上周他们官宣了:预计2027年9月开门迎客,建设成本也涨了6亿美元,现在总共大概57亿美元。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)

Channel
迪拜大事件|迪拜新闻|全球生活资讯
@dubai9710
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
6,120subscribers
-2,871 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001898865567 |
|---|---|
| Type | Channel |
| Username | @dubai9710 |
| Description | 阿联酋社会资讯.随时掌握身边大事 全球新闻 🌍 投稿爆料:@Xiaod1 |
| Created | Between 1 November 2022 and 31 August 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/dubai9710 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 20:35 | 6,120 | -1,448 |
| 8 Aug 2026, 19:51 | 7,568 | -1,423 |
| 7 Aug 2026, 21:00 | 8,991 | no change |
| 7 Aug 2026, 20:48 | 8,991 | first reading |
Engagement
45 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 8 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.21%
- avg views ÷ 6,120 subscribers
- Avg views / post
- 74.3
- 45 posts measured
- Reaction rate
- 1.03%
- reactions ÷ views · ER floor
- Posts in window
- 45
- of 45 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 4 of 45 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 45 (7 August 2026 – 11 August 2026) |
| Views total | 3,343 |
| Reactions total | 4 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 03:31 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
- Photos
- ≈16,500
- Videos
- ≈1,880
- Links
- ≈11,500
Lifetime counters from Telegram’s own channel header, read 12 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.
- Video runtime
- 1m 10s
- Average length
- 1m 10s
Measured directly from 1 video 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
4 reactions across 4 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 4 | 100.0% |
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 4 of the 45 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 45 most recent posts we hold, published 7 August 2026 to 11 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
迪拜警方敦促车主利用灵活付款方式缴纳交通罚款 迪拜警方敦促车主充分利用灵活的付款选项和数字化服务,避免交通罚款不断累积。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
迪拜现房销售额跃升20%至90亿迪拉姆,房地产市场回升 2026年7月,迪拜现房住宅销量上涨近20%。随着该酋长国已完工住宅市场活跃度增强,月度成交量达到自2月以来的最高水平。 根据房地产顾问及物业咨询公司Cavendish Maxwell公布的最新数据,当月共有超过3,400套现房住宅成交,总价值90亿迪拉姆 (24.5亿美元)。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
又一名绑架犯罪嫌疑人被遣返 8月8日,中国和菲律宾两国执法部门合作遣返了涉嫌在菲绑架中国公民的犯罪嫌疑人樊某某。樊某某来菲多年,曾从事网络赌博,后加入臭名昭著的施某某团伙,多次参与实施绑架犯罪。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
“太子集团”调查再升级:美国文件曝光“2号共谋者”,被指暗中保护诈骗网络 8月10日,据泰媒援引美国案件文件及OCCRP调查报道,柬埔寨太子集团(Prince Group)涉嫌涉及跨国网络诈骗、数字资产投资诈骗、洗钱及人口贩运等活动。 报道将一名被美国案件文件称为“2号共谋者(Co-Conspirator 2)”的人士指向陈索利(Chen Sokly)。据称,他曾在太子集团相关企业担任风险控制领域的管理职务,并被指负责跟踪警方调查情况、与执法部门进行协调,甚至试图通过各种方式保护涉嫌诈骗的相关场所及资金网络。 报道称,柬埔寨官方资料显示,一名原名陈星(Chen Xing)的人士于2017年获得柬埔寨国籍,并使用“陈索利”这一姓名,这与调查报告所披露的身份信息存在对应关系。 美国方面此前已将太子集团及相关人员列入制裁范围,并指其网络涉及利用被贩运人员实施网络诈骗,包括所谓“杀猪盘”式数字货币投资骗局。美国司法部门还曾针对与…
英国海军无人机被发现向中国传输数据信号 英国国防部的一次常规网络安全审计显示,位于克拉肯科技公司生产的 naval drones(海军无人机)上的摄像头正在向中国境内的互联网地址传输信号。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
阿联酋酒店疯狂推短途度假优惠,撑起淡季生意 仲量联行(JLL)说:打折房价、家庭套餐、送餐饮券和SPA,就是为了在夏天淡季多拉国内和海湾国家的客人。 阿联酋各地酒店最近都在使劲推“宅家度假”(staycation)优惠:房价打折、送餐饮额度、免费用SPA、还有住得久一点的套餐。目的很简单——多吸引阿联酋本地人和周边海湾国家的游客,撑住入住率,帮酒店业慢慢缓过来。 因为国际游客少了,酒店在第二季度就推出了这些针对家庭和休闲的优惠。 专家说,这其实是酒店在想办法:国际客人少,就靠本地和周边客人顶一顶,至少夏天这段本来就淡的日子别亏太多。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
老挝万象警方捣毁网络诈骗窝点 逮捕261名嫌疑人 近日,老挝万象警方突击搜查塔銮湖专区一处大楼,成功破获一起特大电诈及网赌案,逮捕来自7个国家和地区的261名嫌疑人(包括153名中国籍、61名越南籍、36名泰国籍等),并缴获近500台电脑及2355部手机。 此前,警方于7月18日在万象另一起行动中抓获589名嫌疑人。老挝当局已于8月6日和10日分批将其中73名泰国籍涉案人员移交泰方。目前案件仍正进一步深挖中。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
网友:迪拜福建的江湖骗子,在迪拜国际城一带活动 千万不要相信他口中能赚钱的项目,欠2000u半年不还,今天拖明天,明天拖下周,就这样拖了半年,永远都有明天,就是不还,自己明明有钱,就是不还,以上是这个人个人信息。限你三天之内之内还。不然信息我就不打马赛克了,我天天曝 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
❤1
阿联酋积极响应国际逮捕令和国际刑警组织红色通缉令,快速抓捕高调国际逃犯,并协助引渡 根据公布的数据,迪拜警方共抓捕432名因不同犯罪行为而被国际通缉的逃犯,其中包括领导或参与犯罪集团、预谋杀人、洗钱以及持械抢劫等罪名。 同期,迪拜警方还将379名被通缉人员引渡至30个不同国家的有关部门,同时从海外将65名被通缉逃犯遣返回阿联酋。 典型案例包括: 爱尔兰毒品犯罪组织头目Daniel Kinahan及其成员Sean McGovern 比利时“可卡因之王”Othman El Ballouti 意大利Camorra集团成员Raffaele Imperiale(用假身份隐藏,被智能监控抓获) 英国毒品大亨Michael Paul Moogan(逃亡8年后落网) 抓捕主要依靠:迅速响应红色通缉令、国际执法合作、智能摄像头与AI追踪系统,以及国内司法程序+引渡机制。 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂…
肯尼亚的推推们,大使馆提醒你们啦 全文:https://mp.weixin.qq.com/s/YX2XHFG4EBQQAmr_VLKhqA ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
网友:浦东机场T2入境严查 北京时间19:45~ 人人过机,一个都不放过 ✅订阅频道: @dubai9710 🔉投稿爆料: @小迪 🙋♂️便民信息(签证查询)(迪拜二手交易网)
Showing the 12 most recent of 45 posts we hold for @dubai9710. 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 — 1,311,609 of 1,350,102entries 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 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“迪拜大事件|迪拜新闻|全球生活资讯” (@dubai9710), 6,120 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/dubai9710.
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.