Telegram RegisterThe public register of Telegram
Telegram profile photo for 迪拜今日头条

Channel

迪拜今日头条

@gaocaoss

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

34,425subscribers

-42,673 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002168945541
TypeChannel
Username@gaocaoss
Description迪拜今日头条,聚焦迪拜全境热点资讯、时政民生、商圈动态、豪门见闻、文旅干货、跨境商机与海外新鲜事。实时速报一手头条,深度解读迪拜城市发展、政策利好、房产投资、奢享生活、国际活动,打造专业、权威、全面的迪拜本土综合资讯平台,带你读懂迪拜,看遍中东繁华。 📮投稿爆料合作联系 @XLJ05
CreatedBetween 1 June 2024 and 30 September 2024 — 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/gaocaoss

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 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.

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 1 other registered channel. 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
@gaocaoss/19308 · this entry7 Aug 2026, 13:19 UTC@buliangzhu/143197 Aug 2026, 13:29 UTC1.0011 minutes
@gaocaoss/19309 · this entry7 Aug 2026, 13:29 UTC@buliangzhu/143207 Aug 2026, 13:29 UTC1.00under a minute
@gaocaoss/19314 · this entry7 Aug 2026, 14:09 UTC@buliangzhu/143217 Aug 2026, 14:10 UTC1.002 minutes
@gaocaoss/19321 · this entry7 Aug 2026, 14:19 UTC@buliangzhu/143227 Aug 2026, 14:31 UTC1.0013 minutes
@gaocaoss/19322 · this entry7 Aug 2026, 14:29 UTC@buliangzhu/143237 Aug 2026, 14:31 UTC1.002 minutes
@gaocaoss/19323 · this entry7 Aug 2026, 14:29 UTC@buliangzhu/143247 Aug 2026, 14:31 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@buliangzhu9 (8/8 hand-verifiable sample passed)1.002 minutesthis entry (9–0)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 16 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 2, the earliest publisher we hold is @gaocaoss — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key 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 1 other registered channel, 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

34,42577,09855,761.57 August 2026 — 77,098 subscribers8 August 2026 — 77,035 subscribers9 August 2026 — 75,552 subscribers10 August 2026 — 75,427 subscribers11 August 2026 — 75,162 subscribers12 August 2026 — 75,019 subscribers13 August 2026 — 74,917 subscribers14 August 2026 — 47,337 subscribers15 August 2026 — 47,251 subscribers17 August 2026 — 46,605 subscribers18 August 2026 — 46,088 subscribers19 August 2026 — 45,293 subscribers20 August 2026 — 45,100 subscribers21 August 2026 — 45,064 subscribers22 August 2026 — 42,807 subscribers24 August 2026 — 41,922 subscribers25 August 2026 — 41,268 subscribers26 August 2026 — 41,213 subscribers27 August 2026 — 40,690 subscribers28 August 2026 — 40,424 subscribers29 August 2026 — 40,390 subscribers30 August 2026 — 40,366 subscribers31 August 2026 — 40,344 subscribers1 September 2026 — 40,318 subscribers2 September 2026 — 40,295 subscribers3 September 2026 — 40,208 subscribers6 September 2026 — 40,162 subscribers9 September 2026 — 40,024 subscribers11 September 2026 — 39,761 subscribers13 September 2026 — 36,598 subscribers15 September 2026 — 36,554 subscribers17 September 2026 — 36,502 subscribers25 September 2026 — 36,057 subscribers4 October 2026 — 35,272 subscribers8 October 2026 — 34,942 subscribers13 October 2026 — 34,820 subscribers14 October 2026 — 34,753 subscribers15 October 2026 — 34,678 subscribers16 October 2026 — 34,651 subscribers17 October 2026 — 34,597 subscribers18 October 2026 — 34,572 subscribers19 October 2026 — 34,532 subscribers20 October 2026 — 34,425 subscribers7 August 202620 October 2026
43 measurements spanning 74 days, net -42,673. 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 28,024–83,499 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, 14:5634,425-107
19 Oct 2026, 17:4634,532-40
18 Oct 2026, 15:2734,572-25
17 Oct 2026, 15:1034,597-54
16 Oct 2026, 11:3734,651-27
15 Oct 2026, 14:4834,678-75
14 Oct 2026, 12:1934,753-67
13 Oct 2026, 00:4534,820-122
8 Oct 2026, 14:3934,942-330
4 Oct 2026, 03:1835,272-785
25 Sept 2026, 11:2036,057-445
17 Sept 2026, 05:5536,502-52
15 Sept 2026, 07:2136,554-44
13 Sept 2026, 14:3936,598-3,163
11 Sept 2026, 18:5639,761-263
9 Sept 2026, 08:1840,024-138
6 Sept 2026, 00:5740,162-46
3 Sept 2026, 22:1640,208-87
2 Sept 2026, 13:3440,295-23
1 Sept 2026, 15:4840,318first reading

Engagement

1,035 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 139 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.0%
avg views ÷ 34,425 subscribers
Avg views / post
3,460
664 posts measured
Reaction rate
0.025%
reactions ÷ views · ER floor
Posts in window
664
of 1,035 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 32 of 664 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 20 October 2026
Posts held1,035 (7 August 2026 – 20 October 2026)
Views total2,296,624
Reactions total32
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken20 Oct 2026, 22:01 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.

What this channel posts

Photos
≈18,400
Videos
≈3,400
Links
≈6,310

Lifetime counters from Telegram’s own channel header, read 20 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.

Video runtime
3h 03m
Average length
51s

Measured directly from 216 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

37 reactions across 37 posts, in 8 distinct kinds. The most used accounts for 27.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🤩1027.0%
👍924.3%
🔥821.6%
👏38.11%
❤25.41%
🎉25.41%
🥰25.41%
💯12.70%

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 37 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 37 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 August 2026 to 20 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

20 Oct 2026, 15:19 UTC≈4,220 viewsread 20 October 2026
Photo

#网友提问 Hello mommies, sino dito naka recognition as a Filipino citizen na ang anak? Processing na kasi yung sa anak ko, nag end na din yung 59days visa nya. Sabi naman dito sa pinas na wala naman problem don basta wag lang lalabas ng pinas yung bata para di na need mag apply ulit ng Visa, pero ang question po ay meron po ba dito na naka experience na na mag stay ng matagal ng di nag rerenew ng visa sa pinas then bum…

20 Oct 2026, 15:09 UTC≈3,190 viewsread 20 October 2026
Photo

🇲🇾 马来西亚通报:前5个月被捕外国人近七成是中国公民 马来西亚全国商业罪案调查局10月20日通报,今年1至5月共逮捕1462名涉商业犯罪外国人,其中中国籍993人、占近68%,多数持社交访问签证入境。 同期彭亨州警方在关丹、云顶高原、文冬等地5次突击,抓获31人(含25名中国籍),涉网络投资、爱情诈骗及假冒亚马逊兼职,受害者遍布中国、欧洲和美国。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

20 Oct 2026, 14:49 UTC≈5,870 viewsread 20 October 2026
Photo

#马来西亚新闻 吉打州49人涉网络诈骗案开庭 8名本地男子认罪 各罚款5000令吉 10月20日,马来西亚吉打州居林推事庭审理一起网络诈骗案件,共有49名被告出庭,包括8名马来西亚男子及41名印度、巴基斯坦籍人员。 8名本地男子当庭承认参与网络诈骗活动,法庭判处每人罚款5000令吉。 另外41名外籍被告,包括7名女性,均不认罪。法庭将案件定于11月24日再次过堂。 根据控状,相关人员于10月9日晚上8时,在居林太子城一处地点共同参与网络诈骗活动。 警方此前捣毁该诈骗集团,发现涉案人员涉嫌冒充印度警察实施网络诈骗。 此外,3名本地被告还面临容留17名非法移民的指控,三人均不认罪,获准各以8000令吉保释。 有关移民案件定于2027年1月18日再次过堂。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKb…

20 Oct 2026, 14:29 UTC3 viewsread 20 October 2026
Photo

#小姐姐投稿:本人在西港,在快乐星球群接了一个包养单。对方假意约我吃饭,全程都是圈套,以吃饭、开包厢为由,一步步引诱我上车。 我上车之后,对方直接把我带去极度偏僻无人的地方。行驶途中,车上另外两名人员换到后座,全程一言不发,突然毫无征兆狠狠一拳砸在我脸上,直接把我牙齿打裂、打掉一半,造成严重口腔、面部伤害。 随后三人对我实施非人虐待: 1. 强行逼迫我抽电子烟,不配合就暴力威胁殴打; 2. 拿电棍电击我的私密敏感部位,恶意摧残、性侵式虐待; 3. 强行控制我身体,逼迫拍摄大量裸照、私密视频,用来长期拿捏、威胁我; 4. 全程语言暴力恐吓,多次威胁把我卖到缅甸园区、把我活埋、消失在这里,进行极致的人身威胁与精神摧残。 最让我崩溃、最寒心的是: 整件事,是我身边认识的朋友全程策划、出卖、设局。 我事后才查清: 这位女性朋友,和主绑匪谈过一年恋爱。 绑匪刚从监狱放出来,提前就对外放话、扬言要把我牙齿全部拔光、专门针对我…

20 Oct 2026, 14:09 UTC≈4,700 viewsread 20 October 2026
Video

#国内新闻 浙江警方查获6000余个诈骗快递包裹 4名嫌疑人被刑拘 10月20日,央广网发布的《法治在线》报道披露,浙江湖州警方近日捣毁一个通过快递投递虚假扶贫福利传单、为电信诈骗团伙引流的犯罪窝点,4名嫌疑人已被依法刑事拘留。 案件起于湖州市吴兴区八里店派出所接到快递网点工作人员报警。工作人员发现,大批包装相似的快递包裹准备寄往全国各地,拆开后发现里面装有普通练习册、试卷,以及伪造的“扶贫福利领取流程图”。 这些传单冒充政府扶贫项目,印有二维码和联系方式,诱导收件人扫码注册、填写个人信息,并通过所谓客服缴纳认证费用。 警方调查发现,共有6000多个可疑包裹进入快递网点,其中5000多个被及时拦截,另有1000多个已经显示签收。 针对已签收的包裹,警方连夜联系收件人,提醒不要扫描二维码或相信所谓福利领取信息。 随后,警方根据快递单和监控线索锁定犯罪窝点,现场查获打印设备及大量伪造材料,并控制相关人员。 调查发现,该…

20 Oct 2026, 13:49 UTC≈5,610 viewsread 20 October 2026
Video

官方查验巴域市永胜赌场 今天上午,柴桢省副省长孟英会同柬埔寨商业博彩管理委员会副秘书长森苏皮,召集省法院副检察官及多部门联合技术小组召开工作会议。 会后,联合工作组前往位于巴域市的“永胜赌场(双赢赌场)”开展实地走访,对该赌场的运营质量及合规情况进行现场检查与评估。 这场子看来是可以过关了~~ 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

20 Oct 2026, 13:39 UTC≈5,820 viewsread 20 October 2026
Video

#群友爆料:今天中午,老挝🇱🇦磨丁N16-4栋楼上,又一个窝点被端掉。阿祖回国吧。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

20 Oct 2026, 13:29 UTC≈6,380 viewsread 20 October 2026
Photo

#网友投稿:胡志明2郡 “Feliz En Vista (Altaz)公寓” ,今晚会有警方开展例行检查,在这里的注意了 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

20 Oct 2026, 13:27 UTC2 viewsread 20 October 2026
Photo

#最新消息 据反馈,抓了三个涉嫌电诈的推推。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

20 Oct 2026, 13:09 UTC1 viewsread 20 October 2026
Photo

#缅甸资讯:KNA控制区UK666园区曝现代奴役 约300人每日被迫工作16小时 据KUM调查,在克伦邦妙瓦底以北、梭奇杜准将领导的KNA控制的Kanota地区,中国电诈团伙扩建UK666园区,约300名被强迫劳动的外国人每日被迫工作16小时。 园区位于泰缅边境当茵河附近,自今年3月起从妙瓦底和KK Park转移人员至此。被困者含20名非洲人,其余多为中国公民,诈骗目标主要为美国、欧洲、日本和韩国。园区由Yang Chao运营,约20名KNA成员持枪负责安保。 逃离者称,不服从者遭殴打,打死赔钱了事。工人无休息日,每日工作16小时,未达标者遭罚款、鞭刑、罚蹲和断食。精神失常者以30万泰铢转卖,有家属付60万泰铢赎金仍不放人。部分人合同期满后被追加200万泰铢罚款,终身被困。 园区靠两台发电机轮换供电,柴油、建材和网络均从泰国一侧走私接入。报道指出,尽管表面拆除部分旧建筑,Kanota等丛林深处新园区仍在加速扩建。只要军阀提供…

20 Oct 2026, 12:49 UTC≈3,430 viewsread 20 October 2026
Photo

特朗普又想改名了,这次想改“新美国州” 美国总统特朗普10月19日在社交媒体发文说,应立即将美国的新墨西哥州更名为“新美国州”。 特朗普写道:“新墨西哥州应立即更名为新美国州。我们不是墨西哥,我们是美利坚合众国!”他还表示,这一更名提议将为该州增添“巨大的价值和声望”,“房价和收入都会上涨”。 特朗普主张“美国优先”,去年就任总统伊始就下令把墨西哥湾改名为“美国湾”,今年8月又下令把位于美国与加拿大交界处的安大略湖更名为“美国湖”。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

20 Oct 2026, 12:29 UTC≈3,960 viewsread 20 October 2026
Photo

#柬埔寨资讯 柬埔寨遣返64名韩国电诈嫌疑人,韩方工作组赴柬调查虐亡案件案最新进展 10月20日韩法医工作组抵达金边,今日将联合柬方对遇害韩国大学生开展尸检。 由法医、侦查人员组成的7人韩国工作组,今日在金边和柬方联合开展遇害韩国大学生的尸检工作,查清死者死因、取证固定证据,深挖园区施暴人员和幕后主脑。 韩国警方昨夜完成初步审查,64名柬埔寨遣返的韩国电诈嫌疑人中,59人申请逮捕令,法院今天晚间裁定逮捕申请。柬埔寨官方同步加大七星海长湾园区后续排查,继续清剿面向欧美市场的电诈窝点。 赞助商广告 ✅ 豆豆加速器|一键回国专线,稳定低延迟 😀😀😀😀😀😀😀😀😀😀 订阅最新新闻(吃瓜 曝光)频道👇 🔗 t.me/addlist/Uu1ROQ8VKbcwOWFh 防失联导航: @wuyoudaohang ➡️ 投稿联系: @XLJ05⛔

Showing the 12 most recent of 1,035 posts we hold for @gaocaoss. 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 1 registered channel — 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.

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.

“迪拜今日头条” (@gaocaoss), 34,425 subscribers as measured 20 October 2026. Telegram Register, tgregister.com/channel/gaocaoss.

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.