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Channel

迪拜黑暗事件

@hadubai

On this record: Topic · Previous handles · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

29,436subscribers

+7,234 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
Username@hadubai
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 live14 November 2026
Measurements held126
Confirmed unchanged1 time, most recently 14 November 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 the other topics.

Previous handles

@hadubai was previously reachable at this handle, before switching to its current one. This says nothing about who or what answers at the old handle today — only that this channel no longer does.

@jinusdt
held 7 August 2026 – 7 August 2026

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 in near-verbatim form on 7 other registered channels. This entry also sits inside a group of 8 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts 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
@hadubai/25670 · this entry10 Aug 2026, 06:54 UTC@flbha88/2605810 Aug 2026, 06:54 UTC1.00under a minute
@hadubai/26085 · this entry18 Aug 2026, 09:53 UTC@flbha88/2648518 Aug 2026, 09:53 UTC1.00under a minute
@hadubai/28044 · this entry24 Sept 2026, 14:19 UTC@flbha88/2845724 Sept 2026, 14:20 UTC1.00under a minute
@flbha88/2871029 Sept 2026, 13:37 UTC@hadubai/28299 · this entry29 Sept 2026, 13:38 UTC1.00under a minute
@hadubai/28535 · this entry4 Oct 2026, 07:18 UTC@flbha88/289384 Oct 2026, 07:19 UTC1.00under a minute
@flbha88/304151 Nov 2026, 13:31 UTC@hadubai/29981 · this entry1 Nov 2026, 13:32 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@flbha88918 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (474–444)
@hamiandian881 (8/8 hand-verifiable sample passed)1.00under a minute@hamiandian (441–440)
@hajpz88863 (8/8 hand-verifiable sample passed)1.00under a minute@hajpz88 (466–397)
@hataiguo790 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (396–394)
@dnyha188767 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (398–369)
@yatai985707 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (370–337)
@halaowo691 (8/8 hand-verifiable sample passed)1.00under a minute@halaowo (355–336)

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. 2,806 of the 2,806 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 1,669 comparable posts for this entry, running 7 August 2026 to 13 November 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).

Of the group of 8 channels, the one whose matching posts we hold earliest is @hadubai — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 14 November 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.

Channels linked by matching posts

This channel is in a group of 8 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

21,01947,12134,07029,4367 August 202614 November 2026
126 measurements spanning 99 days, net +7,234. 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 17,104–51,036 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 126
Measured (UTC)SubscribersChange
14 Nov 2026, 14:1529,436+4,568
11 Nov 2026, 17:2124,868-25
10 Nov 2026, 10:5924,893-21
9 Nov 2026, 23:1724,914-22
9 Nov 2026, 01:0424,936-1
8 Nov 2026, 14:3424,937-8
7 Nov 2026, 15:0724,945-2
7 Nov 2026, 08:4924,947-6
6 Nov 2026, 16:4924,953-3
6 Nov 2026, 11:5524,956-10
5 Nov 2026, 14:3424,966no change
5 Nov 2026, 09:0624,966-7
4 Nov 2026, 15:5924,973-1
4 Nov 2026, 10:0524,974-36
3 Nov 2026, 16:0425,010-27
3 Nov 2026, 10:5625,037-149
2 Nov 2026, 19:2825,186-62
2 Nov 2026, 13:3525,248-5,149
1 Nov 2026, 16:5630,397-3,738
1 Nov 2026, 11:4134,135first reading

Engagement

1,941 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 174 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.69%
avg views ÷ 29,436 subscribers
Avg views / post
793
755 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
756
of 1,941 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 1 of 755 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 14 November 2026
Posts held1,941 (7 August 2026 – 14 November 2026)
Views total598,541
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 13:04 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
4h 36m
Average length
44s

Measured directly from 374 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

4 reactions across 4 posts, in 4 distinct kinds. The most used accounts for 25.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤125.0%
🎉125.0%
🔥125.0%
🤩125.0%

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 5 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 4 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 3 October 2026 to 14 November 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

Telegram’s own ‘edited’ marker: 0 of 756 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

14 Nov 2026, 12:57 UTC19 viewsread 14 November 2026
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14 Nov 2026, 12:55 UTC138 viewsread 14 November 2026
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14 Nov 2026, 12:44 UTC133 viewsread 14 November 2026
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14 Nov 2026, 12:43 UTC1 viewsread 14 November 2026
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#老挝资讯:万象再捣一网赌窝点,抓获8名越南籍嫌疑人! 老挝媒体报道:11月13日,老挝公安部专项工作组在万象市赛塔尼县赛萨旺村,捣毁一处网络赌博窝点,抓获8名越南籍涉案人员(含1名女性)。 行动现场查获手机42部、台式电脑10台、电子烟3支等作案工具。 目前,案件正在进一步侦办中。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

14 Nov 2026, 12:40 UTC140 viewsread 14 November 2026
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铁拳之下,电诈大楼灰飞烟灭、人越抓越多,掸邦电诈有没有消灭?坏消息传来 逮捕行动增多,电信诈骗转向“居家办公”模式,缅甸边境地区长期是网络金融诈骗活动的高风险地带。其中,以妙瓦底(克伦邦)、老街(掸邦果敢地区)等地最为外界熟知,相关“园区”模式曾一度规模化运作,吸引并裹挟大量人员参与。 近年来,在各方压力之下,针对此类犯罪的打击行动明显增多:缅甸地方武装与军方多次开展针对诈骗园区的清剿与人员遣返行动;周边多个国家持续推动跨境联合打击与反诈宣传,劝返涉案人员;边境管控与情报共享力度同步加强。 在此背景下,军方于11月12日(本周)发布通报称,自2026年8月1日至10月期间,掸邦境内(含外国人在内)共逮捕“电信诈骗”从业人员多达759人。这一数字既反映出打击行动的战果,也侧面说明此类违法活动在当地的存量规模仍然可观。 随着缅甸边境地区对网络金融诈骗企业的逮捕与打击力度持续加大,这一灰色产业的运作模式正在发生明显变化。据缅甸…

14 Nov 2026, 12:31 UTC214 viewsread 14 November 2026
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14 Nov 2026, 12:24 UTC208 viewsread 14 November 2026
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金边加强安保!特警出动巡逻,独立纪念碑周边多部门联合值守 11月14日晚,柬埔寨首都金边加强公共安全保障力度。金边市警察局特种干预部队出动警力开展巡逻,对“法语国家村”展览活动现场加强治安维护,确保前来参观的当地民众及国内外游客的人身安全。 据了解,“法语国家村”是柬埔寨主办第20届法语国家组织峰会的配套活动之一,吸引了大批民众和游客前往参观。与此同时,金边独立纪念碑附近也部署了大批联合执法人员,开展巡逻及现场值守,进一步加强重点区域的安全防范工作。 本届法语国家组织峰会主题为:“携手共建和平,实现共同繁荣与持久稳定”。随着峰会相关活动陆续举行,金边市区安保工作持续加强,以确保各项活动安全、有序进行。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

14 Nov 2026, 11:52 UTC1 viewsread 14 November 2026
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#马来西亚资讯:雪兰莪移民局突击检查三个地点,34名外国人被捕!有人躲床底企图逃避检查 马来西亚雪兰莪州移民局于11月13日展开联合执法行动,突击检查 Kampung Baru Subang、Ampang 及 Hulu Langat 三个地点,共检查38人,并逮捕34名外国人。 据报道,此次行动共出动18名移民局执法人员,涉及 Ops Sapu、Ops Selera 及 Ops Kutip 三项执法行动。 行动期间,执法人员在检查过程中发现,部分外国人试图躲藏在床底等地方,以逃避执法人员检查,但最终仍被发现。 在 Ampang 地区的行动中,共有10名外国人被捕,包括8名缅甸籍、1名印尼籍及1名印度籍人员。此外,Hulu Langat 地区也有一名波兰籍人员落网。 此次行动累计检查38人,逮捕34名外国人。执法部门同时向一名相关人士发出证人传票,并对一名雇主采取行动。 被捕人员涉嫌违反马来西亚《1959/63年移民法…

14 Nov 2026, 11:28 UTC298 viewsread 14 November 2026
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#菲律宾资讯:警方寻求外国执法机构协助,核查数百名同胞被困缅甸诈骗园区 11月12日,菲律宾媒体报道,菲律宾国家警察(PNP)正与外国执法机构及相关政府部门展开协调,核查数百名菲律宾人疑似被困缅甸诈骗园区的消息,并研究可能的跨国营救方案。 菲律宾国家警察总长 Jose Melencio Nartatez Jr. 表示,警方正在核实有关菲律宾劳工遭非法拘禁的情况,并与相关国家执法部门保持沟通,以确认被困人员的身份、具体位置及案件详情。 此前,菲律宾前反有组织犯罪委员会(PAOCC)官员 Winston Casio 透露,据相关消息估计,目前可能仍有约900至1500名菲律宾人被困在缅甸诈骗园区。其中,部分人员疑似遭到殴打、限制人身自由,甚至被迫参与网络诈骗活动。 目前,菲律宾警方正重点核查人员招募渠道、跨国人口贩卖网络以及相关诈骗组织的运作情况,同时研究后续营救和追责措施。 👌订阅频道: @hasj_DNY 👌投稿爆料:…

14 Nov 2026, 09:21 UTC≈1,010 viewsread 14 November 2026
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14 Nov 2026, 08:29 UTC601 viewsread 14 November 2026
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实拍西港“鬼城”:电诈未消亡,街头小广告揭开黑产真相 走在今天的西港“中国城”,割裂感扑面而来。曾经日夜敲击键盘、年入数十亿美元的全球电诈心脏,如今阳台无衣、窗内无灯,只剩装饰性路灯和空荡人行道。 国际危机组织实地探访发现,随着柬埔寨政府在国际压力下铁腕扫荡,这座曾经的“诈骗之都”正变成令人毛骨悚然的“鬼城”。但记者深入后发现,寂静表象下,电诈产业并未真正消亡,而是像病毒一样变异转移。 从“狂飙突进”到“人去楼空” 西港的兴衰是资本与灰产交织的缩影。十年前这里只是破旧海滨小镇,资金涌入后高楼拔地而起。2019年网赌禁令后,空楼被诈骗集团接手,大量年轻人被诱骗囚禁于此实施“杀猪盘”。直到2025年泰柬冲突爆发及中美强力施压,柬埔寨终于动真格。官方数据显示,2025年7月至2026年8月,当局突袭624个地点,拘留近3万人,驱逐超5.8万外籍人员,逮捕15名涉保护伞官员。官方结论斩钉截铁:境内已无大型电诈园区。 记者探访:…

14 Nov 2026, 08:12 UTC777 viewsread 14 November 2026
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#老挝资讯:133名中国籍嫌疑人被集中移交中国警方,跨境执法持续推进! 老挝公安部门再传人员移交消息!11月13日,老挝公安部电视台(LaoPSTV News)发布消息称,老挝有关部门与中国公安部警方举行人员移交仪式,正式将 133名中国籍犯罪嫌疑人 移交中方处理。 此次移交涉及133名中国籍人员,全部由中国警方接收,后续将依法开展进一步调查和处理。133名中国籍人员被移交!他们具体涉及哪些案件?目前官方尚未公布详细案情,后续情况仍有待进一步披露。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

Showing the 12 most recent of 1,941 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 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 14 November 2026 — this entry's latest reading, not the date you are reading this.

“迪拜黑暗事件” (@hadubai), 29,436 subscribers as measured 14 November 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.