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Telegram profile photo for 迪拜头条大事件 @dubai4

Channel

迪拜头条大事件 @dubai4

@dubai4

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

21,804subscribers

-4,461 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001700223573
TypeChannel
Username@dubai4
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live20 October 2026
Measurements held43
Confirmed unchanged1 time, most recently 20 October 2026
On Telegramt.me/dubai4

Topic

Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 55% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. They sit inside a group of 4 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@dubai4/29672 · this entry7 Aug 2026, 13:49 UTC@JPZ05/273057 Aug 2026, 14:01 UTC1.0013 minutes
@dubai4/29680 · this entry7 Aug 2026, 14:09 UTC@JPZ05/273107 Aug 2026, 14:31 UTC1.0022 minutes
@dubai4/29686 · this entry7 Aug 2026, 14:19 UTC@JPZ05/273167 Aug 2026, 14:31 UTC1.0013 minutes
@dubai4/29687 · this entry7 Aug 2026, 14:29 UTC@JPZ05/273177 Aug 2026, 14:31 UTC1.002 minutes
@dubai4/29688 · this entry7 Aug 2026, 14:29 UTC@JPZ05/273187 Aug 2026, 14:31 UTC1.002 minutes
@dubai4/29690 · this entry7 Aug 2026, 14:37 UTC@JPZ05/273207 Aug 2026, 14:45 UTC1.008 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@JPZ0510 (8/8 hand-verifiable sample passed)1.004 minutesthis entry (10–0)
@DSJ0676 (6/6 hand-verifiable sample passed)0.9839 minutes@DSJ067 (5–1)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 7 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 4, the earliest publisher we hold is @DSJ067. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

21,80426,26524,034.57 August 2026 — 26,265 subscribers8 August 2026 — 26,233 subscribers9 August 2026 — 26,080 subscribers10 August 2026 — 25,786 subscribers11 August 2026 — 25,712 subscribers12 August 2026 — 25,668 subscribers13 August 2026 — 25,344 subscribers14 August 2026 — 25,165 subscribers16 August 2026 — 25,088 subscribers17 August 2026 — 24,765 subscribers18 August 2026 — 24,488 subscribers19 August 2026 — 24,319 subscribers20 August 2026 — 24,282 subscribers21 August 2026 — 24,252 subscribers23 August 2026 — 24,232 subscribers24 August 2026 — 24,143 subscribers25 August 2026 — 23,990 subscribers26 August 2026 — 23,941 subscribers27 August 2026 — 23,926 subscribers28 August 2026 — 23,912 subscribers29 August 2026 — 23,866 subscribers30 August 2026 — 23,838 subscribers31 August 2026 — 23,569 subscribers1 September 2026 — 23,339 subscribers2 September 2026 — 23,248 subscribers4 September 2026 — 23,191 subscribers7 September 2026 — 23,027 subscribers10 September 2026 — 22,870 subscribers12 September 2026 — 22,700 subscribers13 September 2026 — 22,637 subscribers15 September 2026 — 22,608 subscribers17 September 2026 — 22,565 subscribers27 September 2026 — 22,290 subscribers4 October 2026 — 22,058 subscribers9 October 2026 — 22,041 subscribers13 October 2026 — 21,973 subscribers14 October 2026 — 21,946 subscribers15 October 2026 — 21,926 subscribers16 October 2026 — 21,898 subscribers17 October 2026 — 21,866 subscribers18 October 2026 — 21,843 subscribers19 October 2026 — 21,821 subscribers20 October 2026 — 21,804 subscribers7 August 202620 October 2026
43 measurements spanning 74 days, net -4,461. 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 21,135–26,934 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 43
Measured (UTC)SubscribersChange
20 Oct 2026, 11:4621,804-17
19 Oct 2026, 14:3021,821-22
18 Oct 2026, 15:4621,843-23
17 Oct 2026, 14:5921,866-32
16 Oct 2026, 14:0821,898-28
15 Oct 2026, 14:0921,926-20
14 Oct 2026, 17:0021,946-27
13 Oct 2026, 10:4621,973-68
9 Oct 2026, 08:2222,041-17
4 Oct 2026, 22:4022,058-232
27 Sept 2026, 18:4022,290-275
17 Sept 2026, 17:0022,565-43
15 Sept 2026, 11:5622,608-29
13 Sept 2026, 23:4122,637-63
12 Sept 2026, 08:5822,700-170
10 Sept 2026, 07:5622,870-157
7 Sept 2026, 05:0023,027-164
4 Sept 2026, 11:1923,191-57
2 Sept 2026, 20:3523,248-91
1 Sept 2026, 20:1823,339first reading

Engagement

535 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 71 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.6%
avg views ÷ 21,804 subscribers
Avg views / post
2,540
180 posts measured
Reaction rate
0.04%
reactions ÷ views · ER floor
Posts in window
180
of 535 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 96 of 180 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 October 2026
Posts held535 (7 August 2026 – 12 October 2026)
Views total456,885
Reactions total112
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 08:17 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
1h 23m
Average length
41s

Measured directly from 123 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

179 reactions across 151 posts, in 7 distinct kinds. The most used accounts for 37.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤6737.4%
🔥3016.8%
👏2413.4%
🎉158.38%
🤩158.38%
👍147.82%
🥰147.82%

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 151 of the 535 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 179 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 535 most recent posts we hold, published 7 August 2026 to 12 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.

Recent posts

12 Oct 2026, 08:09 UTC1 viewsread 12 October 2026
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#国内资讯:浙江玉环43人跨境电诈案判决生效:主犯获刑10年,涉案170余万元 10月12日,据正义网报道,浙江省玉环市检察院依法对檀某某等43人跨境电信网络诈骗案分批提起公诉。法院采纳检察机关指控的犯罪事实及量刑建议,对主犯檀某某判处有期徒刑10年,其余被告人根据涉案情节和参与程度分别获刑。目前,43名被告人均未提出上诉,判决已生效。 经查,该犯罪团伙以股票咨询、推荐股票为幌子,安排成员冒充分析师、客服及普通股民,通过直播间授课、微信群发布虚假盈利截图等方式,营造投资能够获利的假象,诱骗受害者不断充值投资。待受害者投入大量资金后,团伙便关闭平台,导致受害者无法提现。 案件调查显示,该团伙涉案金额达170余万元。主犯檀某某在团伙中担任“总监”,并介绍他人加入。面对相关证据,檀某某最终如实供述犯罪事实,其余42名成员也均自愿认罪认罚。 据报道,玉环市检察院于2025年12月至2026年9月初分批提起公诉。办案过程中,检察机…

12 Oct 2026, 07:49 UTC4 viewsread 12 October 2026
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#菲律宾新闻 多个团体呼吁弹劾菲律宾副总统莎拉·杜特尔特 10月12日(星期一),多个团体聚集在菲律宾帕赛市的菲律宾参议院大楼前,要求追究副总统莎拉·杜特尔特(Sara Duterte)的责任,并呼吁对其启动弹劾程序。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Oct 2026, 07:39 UTC4 viewsread 12 October 2026
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泰国警方抓获一名强压车队成员,团伙以招工为诱饵诱骗3名中国男子,计划将受害者送往缅东电诈园区 据悉,案件始于9月7日,警方在达府查获一辆黑色皮卡车,当场逮捕29岁的泰国籍男子Tho,同时解救3名中国籍男子。受害者被发现时双手遭到捆绑,眼睛被胶带蒙住。 Tho供称,自己受雇于Choi和Ya,负责运送中国籍人员前往边境,Ya负责驾车在前方引路。经后续调查确认,Ya的真实身份即为本次被捕的Su,警方在收集相关证据后,于10月10日将其逮捕。 经调查,3名受害者打算赴泰国务工,分别于9月5日至6日飞抵泰国。对方告知将安排车辆送他们前往清迈府、素可泰府上班,抵达达府之后,另有车辆前来接应,将他们带往一处树林。 受害者称,随后有人用棕色胶带缠住其头部面部,捆绑双手并戴上手铐,使其无法辨认路线,之后警方在泰缅边境附近将3人解救。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇…

12 Oct 2026, 07:28 UTC686 viewsread 12 October 2026
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#巴基斯坦新闻 假卖手机真盗刷,拉合尔诈骗窝点37人被捕 10月11日,巴基斯坦媒体报道,国家网络犯罪调查局10月10日突查拉合尔焦哈尔镇一期一处诈骗呼叫中心,抓获37名嫌疑人。 这个窝点专门盯上美国和加拿大居民。涉案人员涉嫌冒充当地手机运营商员工,通过网络电话推销手机,骗取受害者的信用卡、借记卡资料,再利用这些资料盗刷资金。 执法人员查扣40台笔记本电脑、35部手机和5台电脑主机,部分设备内发现诈骗相关软件和数据,已封存送检。 这处呼叫中心涉嫌由哈菲兹·阿里·艾哈迈德经营,突查时他不在场。执法部门已立案调查。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Oct 2026, 07:18 UTC≈2,030 viewsread 12 October 2026
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#网友投稿 #干妹妹 Normal po ba sa mga chinese na lalake na kahit meron ng jowa nakikipagchat sa mga chinese na babae. At kapag nahuli sasabihin na sister lang daw kasi 20 years old ang babae at ang chinese na lalake 38 years old. Sister pero everyday na magkachat sila. 翻译:中国男人即使已经有女朋友了,还经常和其他中国女人聊天,这种情况正常吗? 而且,被女朋友发现后,他就解释说对方只是他的妹妹,因为 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠…

12 Oct 2026, 06:49 UTC≈4,650 viewsread 12 October 2026
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#东帝汶 持旅游签证从事服务业?东帝汶移民局突击检查迪利多家卡拉OK娱乐场所及酒店,确认16名外籍女性身份 2026年10月11日,东帝汶迪利(Dili)——东帝汶移民局开展例行检查及执法行动,对迪利多家卡拉OK娱乐场所和酒店进行突击检查,以确保相关场所及外籍人员遵守东帝汶《移民与庇护法》。 根据移民局公布的信息,执法人员在多个地点发现并控制了16名外籍女性,目前正继续对她们的身份及相关情况进行核实。 此次行动源于有关人员可能持旅游签证从事工作或商业活动的线索,而这些活动可能不符合其所持签证的许可条件。 不过,移民局表示,相关核查仍在进行中,具体情况及是否违反移民规定,尚需进一步确认。 东帝汶移民局表示,将继续以专业、负责并尊重法律的方式开展检查和监管工作,推动建立有序、安全的移民管理体系。 当局同时呼吁公众,如发现外籍人员涉嫌违反法律的活动,可向移民局或其他相关主管部门提供线索。相关情况包括持旅游签证非法工作、非法…

12 Oct 2026, 06:39 UTC7 viewsread 12 October 2026
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#菲律宾新闻 菲律宾宿务市查获41公斤冰毒,价值2.78亿比索! 菲律宾当局于2026年10月10日在宿务市马博洛村(Barangay Mabolo)开展一次诱捕行动,查获41公斤疑似冰毒,估值约2.78亿菲律宾比索,并逮捕了一名30岁的嫌疑人。该嫌疑人绰号为“Erwin”。 菲律宾缉毒局第七区办公室(PDEA 7)于10月12日(星期一)表示,这是自2016年以来中米沙鄢地区查获的最大宗毒品案件。 被查获的毒品已送交实验室进行检测。目前,嫌疑人仍由菲律宾缉毒局拘押。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

12 Oct 2026, 06:29 UTC410 viewsread 12 October 2026
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#泰国新闻 警方在曼谷逮捕涉嫌诈骗的中国籍男子 一名被指与柬埔寨和缅甸跨国诈骗集团存在广泛联系的中国籍男子,昨日在曼谷克伦贴克里塔(Krungthep Kreetha)地区一栋豪宅内被警方逮捕。 泰国国家警察总长萨姆兰·努阿尔玛(Pol. Gen. Samran Nualma)亲自带队,对这栋价值4300万泰铢的豪宅展开突袭行动,抓捕这名中国籍嫌疑人。 警方目前仅以“赵”(Zhao)称呼该男子。据悉,国际刑警组织(Interpol)此前已经针对他发布了红色通缉令。 泰国警方表示,“赵”涉嫌参与非法赌博窝点及诈骗集团活动,此前曾逃往澳大利亚和瑞士,之后又来到泰国定居。此外,他还取得了柬埔寨国籍。 “赵”向警方声称,这栋价值4300万泰铢的房屋是他用现金购买的。 不过,警方调查发现,他实际上是通过一名房产经纪人购买这处房产。该经纪人随后建议他联系一家律师事务所,而律师事务所则建议他成立一家由名义股东持有的公司,其中51%…

12 Oct 2026, 06:19 UTC7 viewsread 12 October 2026
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#泰国新闻 警方公布芭堤雅3700万泰铢住宅抢劫案五名中国籍嫌疑人,五人均已逃往境外 芭堤雅发生的一起巨额住宅抢劫案出现重大进展。 一名34岁的土耳其裔商人在凌晨遭3名蒙面男子闯入住宅,不仅被持枪威胁、铐住并殴打,还被逼迫转走价值约2750万泰铢的USDT。歹徒随后掠走现金、劳力士手表和3部手机,案件总损失超过3700万泰铢。 10月10日,泰国东部警察区域第2区警方召开新闻发布会,首次公开5名涉案中国籍嫌疑人的身份。 警方公布的5人分别为: Dong Ping,38岁; Li Xinlei,31岁; Wang Hongbiao,32岁; Hongda Miu,33岁; Zhiyu Wang,31岁。 警方表示,5人目前均已逃离泰国,分别前往中国、马来西亚及香港。芭堤雅法院已经针对5人签发逮捕令,警方下一步将寻求国际刑警组织发布红色通缉令。 更令人震惊的是,警方调查发现,这并不是一起临时起意的抢劫。 据调查,这伙…

11 Oct 2026, 15:49 UTC≈4,830 viewsread 11 October 2026
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磨丁一号又有人被抓! 昨晚,老挝磨丁一号,一名中国男子疑似因购买“K”被抓。被拦下后,男子还扬言要先打个电话,现场究竟是什么情况? 👀 更让人好奇的是,视频中出现的这两名警察,究竟是老挝警方,还是中国警察? 目前身份还不清楚,有了解内情的朋友吗? 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

11 Oct 2026, 15:39 UTC≈3,070 views1 reactionsread 11 October 2026
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老挝磨丁一号又有人被抓!中国男子买K被当场逮住,开口就说:“让我先打个电话!”📱 昨晚,老挝磨丁一号,一名中国男子疑似因购买“K”被抓。被拦下后,男子还扬言要先打个电话,现场究竟是什么情况? 👀 更让人好奇的是,视频中出现的这两名警察,究竟是老挝警方,还是中国警察? 目前身份还不清楚,有了解内情的朋友吗?评论区说说! 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

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11 Oct 2026, 15:09 UTC808 views1 reactionsread 11 October 2026
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#网友投稿 金三角特区大黄楼接到物业的通知,一栋一单元只能居住禁止办公,只要发现办公就直接遣返回国 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 🎉🎉🎉🎉🎉🎉🎉🎉🎉😊 订阅全球新闻大事件频道👇 🔗 t.me/addlist/N5aCaCcVdno0MGU1 ⚠️ 失联导航: @KLJT88 ☎️ 投稿爆料: @KL066

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Showing the 12 most recent of 535 posts we hold for @dubai4. 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.

Mentions

Named by 11 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.

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 20 October 2026 — this entry's latest reading, not the date you are reading this.

“迪拜头条大事件 @dubai4” (@dubai4), 21,804 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/dubai4.

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.