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Channel

迪拜华人大事件|新闻吃瓜

@HaiBo11

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

139,583subscribers

+58,862 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1002346496368
TypeChannel
Username@HaiBo11
Description华人日记专注于华人最新动态资讯,生活故事分享,干货美食推荐,看尽华人大小事情。 ➖➖➖➖➖➖➖➖➖➖ 🇰🇭柬埔寨新闻大事件: @kaleminews 🇵🇭菲律宾新闻大事件: @HaiBo44 🇦🇪迪拜新闻大事件: @HaiBo11 🇲🇲缅甸新闻大事件: @FeiDu11 🇹🇭泰国新闻大事件: @HaiBo22 🤝求职&招聘 投稿爆料(免费发布): @kexin2456 📲商务合作: @kexin2456 #东南亚 #柬埔寨 #菲律宾 #缅甸 #迪拜 #泰国
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live18 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/HaiBo11

Topic

Gambling & betting — 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 85% 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. 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
@HaiBo44/227017 Aug 2026, 11:05 UTC@HaiBo11/78367 · this entry7 Aug 2026, 11:06 UTC1.00under a minute
@HaiBo11/78383 · this entry7 Aug 2026, 13:02 UTC@HaiBo44/227067 Aug 2026, 13:03 UTC1.00under a minute
@HaiBo11/78387 · this entry7 Aug 2026, 15:07 UTC@HaiBo44/227117 Aug 2026, 15:07 UTC1.00under a minute
@HaiBo44/227137 Aug 2026, 18:04 UTC@HaiBo11/78389 · this entry8 Aug 2026, 00:05 UTC1.006.0 hours
@HaiBo44/227158 Aug 2026, 00:05 UTC@HaiBo11/78391 · this entry8 Aug 2026, 00:05 UTC1.00under a minute
@HaiBo22/245557 Aug 2026, 11:05 UTC@HaiBo11/78367 · this entry7 Aug 2026, 11:06 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@HaiBo445 (5/5 hand-verifiable sample passed)1.00under a minute@HaiBo44 (3–2)
@HaiBo225 (5/5 hand-verifiable sample passed)1.00under a minute@HaiBo22 (4–1)

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. 7 of the 7 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 13 comparable posts for this entry, running 7 August 2026 to 8 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 3, the earliest publisher we hold is @HaiBo22. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual, last confirmed 8 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 2 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

30,476139,58385,029.57 August 2026 — 80,721 subscribers8 August 2026 — 80,599 subscribers9 August 2026 — 80,400 subscribers10 August 2026 — 80,128 subscribers11 August 2026 — 79,940 subscribers12 August 2026 — 79,754 subscribers13 August 2026 — 79,575 subscribers14 August 2026 — 79,441 subscribers16 August 2026 — 70,962 subscribers17 August 2026 — 62,650 subscribers18 August 2026 — 54,509 subscribers19 August 2026 — 54,216 subscribers20 August 2026 — 30,815 subscribers21 August 2026 — 30,646 subscribers23 August 2026 — 30,476 subscribers25 August 2026 — 35,045 subscribers26 August 2026 — 34,959 subscribers27 August 2026 — 34,907 subscribers28 August 2026 — 34,872 subscribers29 August 2026 — 134,374 subscribers30 August 2026 — 134,767 subscribers31 August 2026 — 134,676 subscribers1 September 2026 — 134,494 subscribers2 September 2026 — 134,378 subscribers4 September 2026 — 134,191 subscribers6 September 2026 — 133,507 subscribers10 September 2026 — 132,895 subscribers12 September 2026 — 132,575 subscribers14 September 2026 — 132,392 subscribers15 September 2026 — 132,357 subscribers18 September 2026 — 139,583 subscribers7 August 202618 September 2026
31 measurements spanning 41 days, net +58,862. 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 14,110–155,949 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
18 Sept 2026, 02:55139,583+7,226
15 Sept 2026, 19:02132,357-35
14 Sept 2026, 04:01132,392-183
12 Sept 2026, 09:21132,575-320
10 Sept 2026, 02:37132,895-612
6 Sept 2026, 18:56133,507-684
4 Sept 2026, 06:39134,191-187
2 Sept 2026, 18:09134,378-116
1 Sept 2026, 14:35134,494-182
31 Aug 2026, 11:07134,676-91
30 Aug 2026, 08:16134,767+393
29 Aug 2026, 08:07134,374+99,502
28 Aug 2026, 04:3334,872-35
27 Aug 2026, 01:3834,907-52
26 Aug 2026, 00:1134,959-86
25 Aug 2026, 00:5735,045+4,569
23 Aug 2026, 11:5830,476-170
21 Aug 2026, 20:3830,646-169
20 Aug 2026, 18:0230,815-23,401
19 Aug 2026, 15:1854,216first reading

Engagement

1,394 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 107 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.97%
avg views ÷ 139,583 subscribers
Avg views / post
4,140
794 posts measured
Reaction rate
0.533%
reactions ÷ views · ER floor
Posts in window
794
of 1,394 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 772 of 794 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 29 September 2026
Posts held1,394 (7 August 2026 – 29 September 2026)
Views total3,290,169
Reactions total17,077
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Sept 2026, 01:55 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
≈48,600
Videos
≈7,170
Links
≈14,100

Lifetime counters from Telegram’s own channel header, read 29 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
4h 16m
Average length
38s

Measured directly from 402 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

21,828 reactions across 960 posts, in 10 distinct kinds. The most used accounts for 17.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3,85417.7%
🎉3,76117.2%
😁2,80712.9%
👍2,76612.7%
🤩2,73612.5%
❤2,69412.3%
💯1,1035.05%
🥰1,0754.92%
❤‍🔥1,0304.72%
👏20.009%

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 960 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 21,828 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 August 2026 to 29 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

29 Sept 2026, 00:09 UTC27 views23 reactionsread 29 September 2026
Video

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29 Sept 2026, 00:09 UTC18 views15 reactionsread 29 September 2026
Video

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28 Sept 2026, 15:11 UTC≈8,740 views25 reactionsread 29 September 2026
Video

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28 Sept 2026, 15:03 UTC≈8,090 views27 reactionsread 29 September 2026
Photo

迪拜警方逮捕22名在繁忙道路上以过往司机为目标的乞丐 据迪拜警方称,嫌疑人在几条主要繁忙的道路上活动,他们涉嫌接近驾车者,并声称需要钱来支付旅行费用,以此博取他们的同情。 #以下为频道广告赞助商 ——————————————— 😂😂😂😂😂😂2028体育PG电子大放水 U存U提不限额 免实名不限IP 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 2026年世界杯指定投注 182290.com 🤩🤩🤩🤩🤩🤩🤩🤩综合U台 赌神降临11天赢走1.6亿秒出款 零审核包出款 福利频道 @Y3SVIP75 官方网站: y30481.com ⚡️8K国际⚡️⚡️ 😀%⚡️⚡️⚡️⚡️⚡️⚡️⚡️不限ip 免实名 信誉至上·财富相伴! 🩷🩷🩷🩷🩷🩷🩷🩷🩷🩷新人注册送38U 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢 😁😁😁…

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28 Sept 2026, 15:03 UTC≈8,370 views16 reactionsread 29 September 2026
Video

#凤凰卫视:妙瓦底诈骗园区卷土重来 新据点不断出现 9月28日,凤凰卫视援引缅甸媒体报道,缅甸妙瓦底地区网络诈骗活动再次出现扩张迹象。 位于妙瓦底附近的水沟谷,过去曾多次遭到清剿并拆除部分诈骗园区,但今年初开始,当地又有新的园区陆续建设,部分已经投入使用,并通过社交平台公开招募人员。 除了水沟谷外,妙瓦底市区部分区域和山区也出现新的诈骗据点,部分此前停止运作的园区重新恢复活动。有缅甸议员表示,当局需要加强对地方行政部门的监督,推动各省邦持续打击网络诈骗活动。 #以下为频道广告赞助商 ——————————————— 😂😂😂😂😂😂2028体育PG电子大放水 U存U提不限额 免实名不限IP 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 😀😀😀每日返水高达🇺🇦☹️😀😀😀😀😀N1国际无风控 免实名不限IP 玩家首选 ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 2026年世界杯指定投注 182290.com 🤩🤩🤩🤩🤩🤩🤩🤩综合U台 赌神降临11…

😁5❤4🎉3👍3🔥1

28 Sept 2026, 15:03 UTC≈8,600 views25 reactionsread 29 September 2026
Video

#群友投稿:想必大家对西港的“金贝3”都有所耳闻。 从当初号称上千人的集团,到经历柬埔寨扫荡、一次次搬家,再到停工整顿半年,如今又搬到了伊斯兰堡。 而我,作为曾经公司的管理人员,在这里兢兢业业这么多年,该做的做了,该扛的扛了,该熬的夜也熬了。可如今,因为一些所谓的“小事”让我离开,我无话可说。 不是因为我认同,而是这么多年过去,我终于明白了:一个让人拼尽全力付出,却最终连留下来的念头都没有的地方,到底是谁出了问题? 公司天天喊着“以人为本”,给自己贴“正规公司”的标签。可真正落到下面呢? 业务员、组长、主管,各个层级的点位说砍就砍,甚至拦腰砍一半。公司受到外部环境影响,要压缩成本,我理解。但既然要学正规公司,那就把正规公司的样子做出来。 天天讲绩效,实际上就是变着方法压员工工资;天天讲规矩,却不讲员工最基本的休息。既然是正规公司,为什么不能朝九晚五?为什么来了几个月,所谓周末休息有时候只剩两三个小时? 人是出来赚钱的…

👍6❤5🔥5🤩4😁4🎉1

28 Sept 2026, 13:46 UTC≈8,320 views12 reactionsread 29 September 2026
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28 Sept 2026, 13:06 UTC≈8,880 views23 reactionsread 29 September 2026
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28 Sept 2026, 12:31 UTC≈8,370 views17 reactionsread 29 September 2026
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28 Sept 2026, 12:30 UTC≈8,360 views23 reactionsread 29 September 2026
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28 Sept 2026, 12:23 UTC3 views26 reactionsread 29 September 2026
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28 Sept 2026, 12:21 UTC≈8,660 views26 reactionsread 29 September 2026
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#泰国资讯:涉嫌糖业诈骗上亿泰铢!中国籍逃犯藏匿泰国芭堤雅豪华公寓落网 9 月 27 日,泰国警方联合移民局调查组开展抓捕行动,在芭堤雅一处豪华公寓内,抓获一名被中国通缉的中国籍涉案高管。 该男子是两家国内贸易公司负责人,早在 2015 年就已被中方发起指控。2023 年 3 月到 2024 年 1 月,他对外签订白糖销售合同,却根本没有对应货源,也不具备供货能力。受害者按照合同支付超 2000 万人民币,折合约 1 亿泰铢的货款之后,迟迟等不到约定货物。 经查实,这笔被骗钱款被嫌疑人拿来偿还债务以及挥霍个人开销。作案得手后,他直接卷款逃往泰国,躲进芭堤雅的高档公寓企图逃避追责。 泰国执法部门联合出击将其当场抓获,目前嫌疑人已移交移民局拘留所,后续将依法遣返回中国,接受法律审判。 #以下为频道广告赞助商 ——————————————— 😂😂😂😂😂😂2028体育PG电子大放水 U存U提不限额 免实名不限IP 😀😀😀😀😀…

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Showing the 12 most recent of 1,394 posts we hold for @HaiBo11. 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

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

“迪拜华人大事件|新闻吃瓜” (@HaiBo11), 139,583 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/HaiBo11.

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.