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Channel

迪拜黑暗事件

@hadubai

2 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

27,665subscribers

+5,463 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-1002892717914
TypeChannel
Usernames@hadubai @jinusdt
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 「迪拜黑暗事件」带你揭秘东南亚大小事,曝光悬赏通缉,仅此一个频道,其他均为盗版!请注意识别,不私信任何人,防止被诈骗或敲诈勒索! 防失联导航: @hasj_DNY 投稿爆料澄清: @molu178 双向投稿机器人: @heianshijian_bot
CreatedBetween 1 June 2025 and 31 August 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 September 2026
Measurements held65
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/hadubai

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 86% 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 3 other registered channels. 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
@hadubai/25564 · this entry7 Aug 2026, 10:31 UTC@flbha88/259507 Aug 2026, 10:31 UTC1.00under a minute
@hadubai/25565 · this entry7 Aug 2026, 10:48 UTC@flbha88/259517 Aug 2026, 10:48 UTC1.00under a minute
@hadubai/25566 · this entry7 Aug 2026, 11:32 UTC@flbha88/259527 Aug 2026, 11:32 UTC1.00under a minute
@hadubai/25574 · this entry7 Aug 2026, 13:32 UTC@flbha88/259607 Aug 2026, 13:32 UTC1.00under a minute
@flbha88/259637 Aug 2026, 14:24 UTC@hadubai/25577 · this entry7 Aug 2026, 14:24 UTC1.00under a minute
@hadubai/25580 · this entry7 Aug 2026, 14:39 UTC@flbha88/259667 Aug 2026, 14:39 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@flbha8813 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (9–4)
@dnyha18813 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (9–4)
@yatai98510 (7/8 hand-verifiable sample passed)1.00under a minutethis entry (6–4)

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. 12 of the 12 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 14 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 @hadubai — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_mutual · 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

21,01944,38032,699.527,6657 August 202627 September 2026
65 measurements spanning 51 days, net +5,463. 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 17,515–47,884 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
27 Sept 2026, 09:5727,665-1,084
18 Sept 2026, 10:5828,749-256
17 Sept 2026, 13:3829,005-289
16 Sept 2026, 07:0029,294-31
15 Sept 2026, 15:5729,325-789
14 Sept 2026, 10:1830,114-55
14 Sept 2026, 02:3730,169-388
12 Sept 2026, 20:4030,557-145
12 Sept 2026, 08:2130,702-102
11 Sept 2026, 01:1830,804-81
10 Sept 2026, 06:5830,885-1,705
8 Sept 2026, 00:0132,590-309
7 Sept 2026, 01:1932,899-786
4 Sept 2026, 23:3833,685-63
4 Sept 2026, 13:1633,748-88
3 Sept 2026, 10:1633,836-59
2 Sept 2026, 21:5333,895-235
2 Sept 2026, 01:2534,130-186
1 Sept 2026, 21:1434,316-239
1 Sept 2026, 02:4934,555first reading

Engagement

880 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 85 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.86%
avg views ÷ 27,665 subscribers
Avg views / post
790
405 posts measured
Reaction rate
0.158%
reactions ÷ views · ER floor
Posts in window
405
of 880 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 123 of 405 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 30 September 2026
Posts held880 (7 August 2026 – 30 September 2026)
Views total320,099
Reactions total133
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 12:38 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
≈21,600
Videos
≈5,460
Links
≈1,480

Lifetime counters from Telegram’s own channel header, read 30 September 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 01m
Average length
35s

Measured directly from 309 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

135 reactions across 124 posts, in 8 distinct kinds. The most used accounts for 17.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
⚡2317.0%
🔥1813.3%
🤩1813.3%
🎉1712.6%
👍1712.6%
😁1712.6%
👏139.63%
🥰128.89%

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 125 of the 880 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 135 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 880 most recent posts we hold, published 7 August 2026 to 30 September 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

30 Sept 2026, 12:07 UTC≈1,620 viewsread 30 September 2026
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【伊斯兰堡|中国籍男子在巴基斯坦杀害中国同胞,被判死刑】 9月29日,伊斯兰堡地区与刑事法院就2024年G-13/3中国公民枪击案作出一审判决: 中国籍被告Yin Gu Xuan因杀害同胞Zhu Xin Liang,被依巴基斯坦刑法第302-B条判处死刑,并须向死者家属支付100万卢比赔偿; 法院同时就非法闯入住宅判处其7年苦役及10万卢比罚款,但对第354条相关指控判其无罪。 案发于2024年8月,两名中国公民发生纠纷后,被告持枪射击Zhu Xin Liang头部,警方随后将其抓获;本次死刑仍需伊斯兰堡高等法院确认,且被告可依法上诉。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

30 Sept 2026, 11:47 UTC751 viewsread 30 September 2026
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#网友投稿:曝光特区治安局黑暗! 现在金三角太恶心了,如果不让搞电诈,那就全部清理掉。三天两天查,抓了放,放了抓,这不是大型的杀猪盘吗?比搞电诈的人还恶心。 现在治安局真的乌烟瘴气的,抓到人,不管正常人或者吸Du、电诈的,就是一顿暴打,一点人权都没有。手机翻来翻去,就一定要给你定点东西,打到你承认。 一边享受着电诈的贡献,一边折磨着这些人。打人的时候什么脏话都有:“CNM的,你们这些死诈骗犯”,什么什么的。特区的治安局就是最大的黑社会。 劝大家都远离这个地方,我们也都准备撤了。金三角很好,但是有这些有点权利、无限剥削的人渣,慢慢的会变作一座死城。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

30 Sept 2026, 11:27 UTC≈1,470 views1 reactionsread 30 September 2026
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巴新警方破获涉电诈和人口贩运窝点,有中国公民被拘,中使馆提醒:勿从事电诈违法活动 9月30日,据中国驻巴布亚新几内亚大使馆消息,近日,巴新警方破获一起涉电信诈骗、人口贩运窝点,有中国公民被拘。 中国驻巴布亚新几内亚使馆高度重视保护在巴新中国公民安全及合法权益,推动巴新方严厉打击包括电讯诈骗在内的各类犯罪活动,再次提醒广大中国公民切实增强安全防范意识,谨慎交友,不轻信他人,不随意泄露个人隐私;高度警惕“海外高薪就业”陷阱,勿从事电诈违法活动。 如发现自身或周围人员可能在巴新卷入电诈、非法拘禁等异常情况,请尽快向中、巴新两国警方报警,并及时向中国驻巴新使馆寻求协助。 报警及求助联系方式: 1、巴新紧急求助电话:警察:112 消防:110 急救:111 2、外交部全球领事保护与服务应急热线电话(24小时): +86-10-12308 +86-10-65612308 3、驻巴新使馆领事保护与协助电话:+675-73616048 …

🥰1

30 Sept 2026, 11:10 UTC2 views1 reactionsread 30 September 2026
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#群友投稿:越南胡志明9郡 vin公寓,刚刚有个小姐姐跳楼,尸体已经被拉走了,现场惨不忍赌。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

😁1

30 Sept 2026, 10:32 UTC≈1,190 viewsread 30 September 2026
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#小姐姐投稿:在东南亚的女人如果想要报复一个男人就是把自己变的比以前好看,变优秀。 变暴富,不要马上随便找一个男人,那个是堕落,你要变强大,变独立,吸引比前男友更好的人。 过一段时间,等他在外面玩饱嫖完的时候,想回来找你。千万要忍住气,别搭理他,自己把自己变好就可以。 等几个月后,他才会发现,前女友变好看,变的那么的优秀,钱也赚到了,追的人也多了,他才会后悔,不懂的珍惜。 以前对他好,关心他,生病会陪他去看医生,会帮他按摩,钱还会借给他花,天天在耳边唠叨的那个女孩,再也不属于他了。 男人往往得到的时候不懂珍惜,经常冷暴力,爱答不理,失去了才知道,原来前女对他那么好。但是女人变优秀的时候,你往回看,他什么都不是,就是一个卡拉米,什么都给不了你。 男人抛弃你那一刻起,他就已经不爱你了,他只爱他自己,等他需要你的时候,你要让他高攀不起。女人加油吧! 只有把自己变好,才会遇到更好的。 👌订阅频道: @hasj_DNY 👌…

30 Sept 2026, 10:30 UTC≈1,750 viewsread 30 September 2026
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30 Sept 2026, 10:19 UTC≈1,700 viewsread 30 September 2026
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#群友吐槽:西港南海什么破酒店,过来西港玩,开了一间月租房,收费1800美金。 早上下去说不能吃早餐,说什么月租房不能吃早餐。1800美金不能吃早餐,那你还有什么服务?你有什么条件不给客人吃早餐? 早餐不给吃就算了,还天天过来敲门查护照!我入住的时候不是登记好才可以上来的吗?最过分的是还翻我的行李包、行李箱!我真是服气你们所谓的管理! 我住你们南海,没有体验到服务的感觉,就像给钱你们,我在做贼一样!南海,你们管理出来处理一下你们下面这班人才! 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

30 Sept 2026, 09:50 UTC≈1,390 viewsread 30 September 2026
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妙瓦底电诈园区死灰复燃 据红星新闻报道,此前遭清剿的缅甸妙瓦底电诈产业近期再次活跃。卫星图显示,当地Thitkate一处疑似新据点6月还是空地,8月已出现建筑群,部分旧有园区也被指重新运作。 报道称,这些园区已发布超过9300则招聘信息,其中约83.7%针对美国受害者、13.6%针对欧盟国家。 当地消息人士称,水沟谷及妙瓦底市区也陆续出现新的诈骗据点,部分位于较偏远山区。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

30 Sept 2026, 09:42 UTC1 viewsread 30 September 2026
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#马来西亚资讯:13名外籍男女冒充日本警察行骗,金宝公寓被端 9月24日,马来西亚霹雳州警方在金宝新市镇学院路一座公寓的3个单位展开突击行动,捣毁一个涉嫌针对日本民众实施电话诈骗的犯罪集团,共逮捕13名嫌疑人。 霹雳州总警长莫哈末阿尔威表示,被捕者年龄介于20岁至57岁,包括7名日本籍男子、2名日本籍女子及4名中国籍男子。 警方初步调查显示,该集团疑自今年8月开始运作,并将日本民众作为主要目标。嫌疑人涉嫌冒充日本警察,按照预设的日语诈骗话术致电受害者实施诈骗。 警方在行动中起获3枚疑似日本警察徽章、3套印有日本警方标志的证件套、3套制服及外套,以及一套日语诈骗话术。此外,还查获2台手提电脑、18部手机、2台平板电脑及1台网络路由器,总值约2万令吉。 警方指出,所有被捕人员相信是按照诈骗成功金额,以佣金形式获得报酬。 调查还发现,部分嫌疑人此前曾在柬埔寨工作或活动,并从事类似诈骗活动,之后持旅游签证进入马来西亚。 目…

30 Sept 2026, 09:36 UTC2 viewsread 30 September 2026
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IMF盯上柬埔寨银行赌场幕后老板!股东资金来源成监管重点 柬埔寨严打网络诈骗,IMF最新报告将矛头直指金融体系“幕后黑手”。建议加强银行、支付机构及赌场的牌照审核,严查董事、股东及实际受益人背景,核实资金合法性。 目前,仅靠犯罪记录证明难以发现潜在风险。IMF呼吁修改法律,赋予监管机构更强能力,追问“谁拥有?谁控制?钱从哪来?” 赌场是重点关注领域。2027年前后多数牌照到期续期,届时经营者将面临更严苛审查。UNODC数据显示,湄公河地区诈骗中心年利润近400亿美元,资金常通过赌场、空壳公司等渠道洗钱。 仅捣毁窝点不够,切断资金链才是关键。未来,牌照不仅是经营许可,更是身份与资金的透明化考验。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

30 Sept 2026, 09:33 UTC1 views1 reactionsread 30 September 2026
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#新加坡新闻 2026年新加坡入境卡最新教程 3天内免费填写 中国游客免签也必须申报 2026年入境新加坡,外国旅客仍需提前填写新加坡入境卡(SG Arrival Card)。 中国普通护照目前赴新加坡停留不超过30天可免签,但免签不等于免填入境卡,两者是完全不同的手续。入境卡只能在抵达新加坡前3天内提交,包含抵达当天。 例如10月5日抵达新加坡,最早10月3日就可以开始填写,提前太早无法提交。 填写时直接进入新加坡移民与关卡局官网,或者使用官方“MyICA Mobile”手机应用,外国游客选择“Foreign Visitor”。 自己出行选择个人申报,一家人或多人同行可以选择多人申报,再逐一添加同行人员资料。 个人信息按照护照填写,包括姓名、护照号码、国籍、出生日期等,姓名和护照号码必须和护照完全一致。 接着填写抵达日期、交通方式、住宿地址等行程资料,再按实际情况完成健康申报。 邮箱一定要填写自己能正常接收邮件…

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29 Sept 2026, 15:43 UTC≈1,300 viewsread 30 September 2026
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Showing the 12 most recent of 880 posts we hold for @hadubai. 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 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.

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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“迪拜黑暗事件” (@hadubai), 27,665 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/hadubai.

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.