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Telegram profile photo for 迪拜黑暗事件

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

24,966subscribers

+2,764 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 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held116
Confirmed unchanged1 time, most recently 5 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.

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

21,01947,12134,07024,9667 August 20265 November 2026
116 measurements spanning 90 days, net +2,764. 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 116
Measured (UTC)SubscribersChange
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, 11:4134,135-12,498
31 Oct 2026, 15:2946,633-3
31 Oct 2026, 11:0946,636-7
30 Oct 2026, 17:1646,643-2
30 Oct 2026, 11:4646,645-176
29 Oct 2026, 18:3946,821-5
29 Oct 2026, 08:4646,826-8
28 Oct 2026, 18:3146,834-15
28 Oct 2026, 07:0746,849-13
27 Oct 2026, 15:5946,862-4
27 Oct 2026, 03:2746,866first reading

Engagement

1,715 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 157 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.37%
avg views ÷ 24,966 subscribers
Avg views / post
842
711 posts measured
Reaction rate
0.083%
reactions ÷ views · ER floor
Posts in window
711
of 1,715 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 711 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 5 November 2026
Posts held1,715 (7 August 2026 – 5 November 2026)
Views total598,988
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Nov 2026, 00:38 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
≈22,800
Videos
≈5,580
Links
≈1,390

Lifetime counters from Telegram’s own channel header, read 6 November 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
4h 46m
Average length
45s

Measured directly from 381 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

109 reactions across 99 posts, in 9 distinct kinds. The most used accounts for 16.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1816.5%
⚡1715.6%
😁1614.7%
🤩1412.8%
🎉1211.0%
👏1211.0%
👍1110.1%
🥰87.34%
❤10.917%

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 100 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 109 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 23 September 2026 to 5 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 711 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).

5 Nov 2026, 16:12 UTC596 viewsread 6 November 2026
Video

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5 Nov 2026, 15:02 UTC664 viewsread 6 November 2026
Photo

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5 Nov 2026, 14:50 UTC665 viewsread 6 November 2026
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5 Nov 2026, 14:49 UTC1 viewsread 6 November 2026
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5 Nov 2026, 14:41 UTC≈1,010 viewsread 6 November 2026
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5 Nov 2026, 14:13 UTC866 viewsread 6 November 2026
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5 Nov 2026, 14:07 UTC501 viewsread 6 November 2026
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5 Nov 2026, 13:53 UTC≈1,170 viewsread 6 November 2026
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亚美尼亚警方展开大规模突袭!65处地点遭搜查,36人卷入重大经济犯罪调查,知名商人被捕 11月5日,据亚美尼亚媒体报道,亚美尼亚调查委员会于11月4日针对电力企业“亚美尼亚电力网络公司”(Electric Networks of Armenia,简称ENA)涉嫌重大经济犯罪一案,展开大规模执法行动。 此次行动涉及首都埃里温及其他地区,执法人员同步搜查65处地点,包括住宅、企业办公室及相关人员经营场所。案件共涉及36名被刑事追诉人员,其中包括知名商人、Tashir集团创始人萨姆韦尔·卡拉佩强(Samvel Karapetyan)。 调查人员指控,相关人员涉嫌滥用职权、侵占受托管理的财产以及大规模洗钱,并通过关联企业资金往来、商业交易及其他方式转移和掩盖资金。 根据调查委员会公布的数据,此案涉嫌造成的经济损失超过645.85亿亚美尼亚德拉姆,约合1.8亿美元。 其中,萨姆韦尔·卡拉佩强已于11月4日被捕。11月5日,法院裁…

5 Nov 2026, 13:46 UTC1 viewsread 6 November 2026
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#百事通金总投稿 🎤 最后一站,最后一场!盆栽把巡演收官夜留给吉隆坡🔥 📍吉隆坡·武吉加里尔国家体育场 🏷2026年11月5日 The Weeknd「After Hours Til Dawn」巡演,今晚在吉隆坡迎来最后一场。 这一轮巡演的句号,就在马来西亚画下。 蓝绿灯光铺满场馆,舞台前是一片人海。平时在耳机里循环的歌,这次换成现场感受——最后一站的仪式感,真的不一样。 💬在吉隆坡生活,不只有上班、堵车和忙生意。偶尔留一个晚上给喜欢的音乐,也是认真生活的一部分。 今晚在现场的朋友,来报个到!🙌 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

5 Nov 2026, 13:31 UTC1 viewsread 6 November 2026
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#群友投稿:2023年的老街,熟悉的街道,熟悉的风景,仿佛一切都还停留在那一年。再次走过这里,心里却有一种说不出的感慨。 最遗憾的不是老街变了,而是我们再也回不到那个时候了。曾经觉得平淡无奇的日子,如今却成了心里最珍贵的片段。 有些地方,去过很多次都不觉得特别;可多年以后再回头,才发现那里藏着自己最舍不得的一段青春。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

5 Nov 2026, 13:18 UTC459 viewsread 6 November 2026
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判决案例:男子在东南亚园区负责养号引流 被警察抓回去获刑六个月 2025年11月,丁某出境加入境外电信诈骗窝点。在2025年11月至2026年4月期间,他辗转多个窝点担任业务员,负责养号、引流,通过社交软件使用投资话术,诈骗境内及境外人员。案发后,丁某被公安机关从境外带回,检察机关以诈骗罪对其提起公诉。 法院审理认定,丁某以非法占有为目的参与境外诈骗团伙,在共同犯罪中系从犯,具有坦白、自愿认罪认罚情节,依法予以减轻处罚,以诈骗罪判处其有期徒刑六个月,并处罚金。 👌订阅频道: @hasj_DNY 👌投稿爆料: @molu178 👌海外交友: @JLB_haiwai

5 Nov 2026, 13:09 UTC493 viewsread 6 November 2026
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Showing the 12 most recent of 1,715 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“迪拜黑暗事件” (@hadubai), 24,966 subscribers as measured 5 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.