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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

79,575subscribers

-1,146 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-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 live13 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 13 August 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 (32)
@HaiBo225 (5/5 hand-verifiable sample passed)1.00under a minute@HaiBo22 (41)

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

79,57580,72180,1487 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 subscribers7 August 202613 August 2026
7 measurements spanning 6 days, net -1,146. 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 79,403–80,893 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 11:5679,575-179
12 Aug 2026, 12:0579,754-186
11 Aug 2026, 11:1379,940-188
10 Aug 2026, 12:3480,128-272
9 Aug 2026, 11:3180,400-199
8 Aug 2026, 08:2680,599-122
7 Aug 2026, 18:4580,721first reading

Engagement

176 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.35%
avg views ÷ 79,575 subscribers
Avg views / post
3,460
176 posts measured
Reaction rate
0.811%
reactions ÷ views · ER floor
Posts in window
176
of 176 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 175 of 176 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 13 August 2026
Posts held176 (7 August 202613 August 2026)
Views total609,406
Reactions total4,944
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 20:43 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
46,700
Videos
6,440
Links
12,200

Lifetime counters from Telegram’s own channel header, read 13 August 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
38m 31s
Average length
34s

Measured directly from 68 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

4,944 reactions across 175 posts, in 6 distinct kinds. The most used accounts for 17.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
86317.5%
🎉84617.1%
👍83016.8%
😁81816.5%
🔥79916.2%
🤩78815.9%

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 175 of the 176 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 4,944reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 176 most recent posts we hold, published 7 August 2026 to 13 August 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

13 Aug 2026, 16:26 UTC13 views24 reactionsread 13 August 2026
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#网友爆料 金贝娱乐|金宝娱乐(http://Jinbeibets.com) #黑盘后续 已在赌博网址举报渠道、国家反诈中心、12377递交全部证据,绝不撤案,绝不和解! 八年累计亏损2000万,新账号再亏200万,从未提现。申请30万本金出款,平台直接吞没余额、锁死账号,所有关联账号一并封禁,纯粹黑吃黑杀猪盘。 核心管理人龙大圣,老牌黑产资金盘分子,反诈漏网之鱼。出事之后客服推诿甩锅,管理层直接装死失联。 ⚠️警告所有为该盘供血的USDT、支付资金通道: 若继续为该杀猪盘提供服务,我会把你们全部扒出,全套证据移交执法机关,连带曝光追责! 不计一切代价死磕到底!紧盯盘口老板、管理人员、整条资金链路,持续举报曝光,不铲除这颗毒瘤绝不罢休! 👉官方举报渠道:国家反诈中心APP|110报警|12377网信举报 ⚠️警示所有人:该平台不断改名换壳,本质依旧是黑盘,切勿入坑! 实名支付宝代收证据已全部提交公安反诈备案。 #以

😁6👍5🤩5🎉42🔥2

13 Aug 2026, 15:07 UTC907 views14 reactionsread 13 August 2026
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🎉3👍3🔥3😁31🤩1

13 Aug 2026, 14:50 UTC≈4,050 views28 reactionsread 13 August 2026
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#网友投稿:在8月1日起,中华人民共和国公安部联合柬埔寨公安、检察机关部门开展打击诈骗人员行动。 最近,公安部门在各个地区接到群众举报,因“约炮”被骗取钱财的案件频发。也有不法分子盗取他人照片,引导受害者进入软件,以此骗取财产。对此,国家已经开始重视,并展开严厉打击诈骗集团以及其国内合作伙伴。 8月12日,在河南、河北、江西、重庆、广东、陕西等地,共抓获103人,其中包括36名未成年人。据他们描述:“纸飞机”这个软件被作为工作机使用,通过不法链接下载,并利用其从事诈骗活动。 同时,也提醒国内从事色盘、刷单、租ID的兄弟们注意安全,别到最后有钱却没命花。中国已经不是从前的那个中国了。因为“约炮”诈骗案件已经牵扯到四起命案。我投稿这个事情,只是想告知各位:赚得差不多就该收手,不要因为贪心,最后害了自己。 #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

🔥9🎉75🤩3👍2😁2

13 Aug 2026, 14:50 UTC≈4,070 views10 reactionsread 13 August 2026
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13 Aug 2026, 14:49 UTC≈4,070 views29 reactionsread 13 August 2026
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👍6😁65🔥5🎉4🤩3

13 Aug 2026, 14:49 UTC3 views26 reactionsread 13 August 2026
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👍65😁5🎉4🔥3🤩3

13 Aug 2026, 14:49 UTC≈4,150 views27 reactionsread 13 August 2026
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网友爆料: 看有人发这个福建的江湖骗子,我也来爆 这个人2023年的时候,跟那个洪门的白兆辉一起的,那个人也是个骗子,反正所有借的东西都说是自己的那种,其实他们可以靠包装赚钱,但就是因为自己非得嫖娼手机赌博给败完了 后来2025年又跟德拉大海一起,也是整天商业互捧,骗吃骗喝骗分骗冰抽 全都是在灰产里骗人的,一个个全是臭不要脸的,都是包装。说的这些人个个都认识皇室,那给我懵的 退潮了以后,我发现这些人都没有穿裤子😂 #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 🔤1️⃣⚡⚡⚡⚡N1国际 免实名,无风控,反水无上限,大额无忧! ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 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 @Y3S

👍8😁6🔥54🎉4

13 Aug 2026, 14:49 UTC≈3,880 views31 reactionsread 13 August 2026
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13 Aug 2026, 13:42 UTC≈4,090 views32 reactionsread 13 August 2026
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13 Aug 2026, 13:03 UTC≈4,130 views19 reactionsread 13 August 2026
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13 Aug 2026, 12:50 UTC≈4,100 views7 reactionsread 13 August 2026
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中国公安部刑侦局局长访问柬埔寨 今天下午,受柬埔寨副总理兼内政部长苏速卡委托,内政部国务秘书宋坡在内政部会见来访的中国公安部刑事侦查局局长姜国利一行。 双方进行了礼节性会晤,并就进一步深化两地警务合作与相关业务展开了交流与探讨。 PS:又有大动作? #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 🔤1️⃣⚡⚡⚡⚡N1国际 免实名,无风控,反水无上限,大额无忧! ⚡⚡⚡⚡⚡⚡⚡⚡⚡ 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 😀😀😀😀😀😀😀😀😀😀9G.COM首周100%包赢 😁😁😁😁😁😁😁😁😁😁😁😁千万域名 百亿大盘 顶奢品牌 大户首选入款笔笔

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13 Aug 2026, 12:32 UTC4 views35 reactionsread 13 August 2026
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#国内资讯:学校以分配工作为由 诱骗所有学生至菲律宾赌场犯罪 我们学校分配就业,把所有同学,一个系100多号人,全部送到了菲律宾做博彩! 我们是民办职中包就业,去到菲律宾之后干了半个月左右,我们知道这个东西涉嫌赌博,当时所有同学都在闹,最搞的就是学校派了当时我们的就业老师给我们做思想工作,跟我们说这个东西在国外是合法的。 人身自由也被限制,把我们护照也扣了,底薪5000,每多待一个月给加500,我们这些学生在里面做一些网站更改,把网站帖子引流到狗推那边。 学校现在还没被端,还是在开,但学校的负责人是取保状态,我们一百多号人,不在同一家公司,分布在整个菲律宾的各个公司,后面19年我回国了,24年叔叔还是给我打电话了,去了以后就取保了,现在的话有些同学已经被判刑了,有些缓刑不予起诉,我前两天还接到某检察让我们开听证会。 我现在就想起诉这个b学校,但是叔叔那边说退赃退赔都是学校帮我们出的,这个真的很冤,大家花很多钱上个学校,

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Showing the 12 most recent of 176 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 13 August 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), 79,575 subscribers as measured 13 August 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.