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Channel

迪拜华人大事件|新闻吃瓜

@HaiBo11

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

170,238subscribers

+89,517 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 live12 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 12 November 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 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 in near-verbatim form on 7 other registered channels. This entry also sits inside a group of 3 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
@kaleminews/6672628 Aug 2026, 04:32 UTC@HaiBo11/79830 · this entry28 Aug 2026, 05:07 UTC1.0035 minutes
@kaleminews/674523 Sept 2026, 05:37 UTC@HaiBo11/80187 · this entry3 Sept 2026, 07:31 UTC1.001.9 hours
@kaleminews/675664 Sept 2026, 06:19 UTC@HaiBo11/80255 · this entry4 Sept 2026, 07:18 UTC1.0059 minutes
@kaleminews/681819 Sept 2026, 06:54 UTC@HaiBo11/80602 · this entry9 Sept 2026, 06:56 UTC1.0072 seconds
@kaleminews/7010124 Sept 2026, 10:25 UTC@HaiBo11/81710 · this entry24 Sept 2026, 13:21 UTC1.002.9 hours
@kaleminews/7085930 Sept 2026, 12:25 UTC@HaiBo11/82088 · this entry30 Sept 2026, 13:09 UTC1.0044 minutes
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
@kaleminews279 (8/8 hand-verifiable sample passed)0.992.0 hours@kaleminews (250–29)
@FeiDu11189 (8/8 hand-verifiable sample passed)0.882.3 hours@FeiDu11 (139–50)
@HaiBo4439 (6/8 hand-verifiable sample passed)0.886 days@HaiBo44 (24–15)
@HaiBo2235 (7/8 hand-verifiable sample passed)0.963.8 hours@HaiBo22 (22–13)
@DNYBG1208 (7/8 hand-verifiable sample passed)0.9346 hourseven
@dibai_017 (7/7 hand-verifiable sample passed)1.004.4 hours@dibai_01 (6–1)
@JXBGW6 (5/6 hand-verifiable sample passed)0.8710 daysthis entry (4–2)

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. 447 of the 447 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 2,355 comparable posts for this entry, running 7 August 2026 to 12 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 3 channels, the one whose matching posts we hold earliest is @HaiBo11 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_mutual · clone_source, last confirmed 13 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 3 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

30,476202,188116,332170,2387 August 202612 November 2026
63 measurements spanning 97 days, net +89,517. 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 4,719–227,945 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
12 Nov 2026, 06:49170,238-3,860
10 Nov 2026, 06:08174,098-10,831
8 Nov 2026, 21:09184,929-1,289
7 Nov 2026, 15:17186,218-1,816
6 Nov 2026, 13:47188,034-1,164
5 Nov 2026, 11:45189,198-417
4 Nov 2026, 09:46189,615-813
3 Nov 2026, 13:01190,428-755
2 Nov 2026, 12:21191,183-87
1 Nov 2026, 13:39191,270-211
31 Oct 2026, 16:27191,481-287
30 Oct 2026, 16:36191,768-541
29 Oct 2026, 19:39192,309-205
28 Oct 2026, 16:57192,514-284
27 Oct 2026, 15:45192,798-242
26 Oct 2026, 16:05193,040-327
25 Oct 2026, 13:46193,367-125
24 Oct 2026, 16:05193,492-312
23 Oct 2026, 15:27193,804-224
22 Oct 2026, 17:57194,028first reading

Engagement

2,363 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 199 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.07%
avg views ÷ 170,238 subscribers
Avg views / post
5,220
658 posts measured
Reaction rate
0.399%
reactions ÷ views · ER floor
Posts in window
658
of 2,363 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 568 of 658 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 November 2026
Posts held2,363 (7 August 2026 – 13 November 2026)
Views total3,434,586
Reactions total12,513
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 21:34 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
≈50,300
Videos
≈7,700
Links
≈15,600

Lifetime counters from Telegram’s own channel header, read 13 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
5h 30m
Average length
56s

Measured directly from 354 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

19,857 reactions across 908 posts, in 16 distinct kinds. The most used accounts for 12.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2,42512.2%
👍2,41512.2%
❤2,34111.8%
🤩2,29311.5%
🎉2,26011.4%
🥰1,8389.26%
💯1,8279.20%
😍1,7979.05%
❤‍🔥1,7788.95%
😁5262.65%
☃940.473%
😎860.433%
🍓780.393%
🙏760.383%
⚡120.06%
👏110.055%

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 908 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 19,857 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 27 September 2026 to 13 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 658 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).

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13 Nov 2026, 00:14 UTC≈7,990 views26 reactionsread 13 November 2026
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13 Nov 2026, 00:13 UTC≈8,250 views14 reactionsread 13 November 2026
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12 Nov 2026, 15:17 UTC≈5,790 views27 reactionsread 13 November 2026
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Showing the 12 most recent of 2,363 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.

Posts recorded as deleted after publishing

We recorded 1 post on @HaiBo11 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 October 2026
Most recent seen missing
8 October 2026
Median time before seen missing
12 hours
Seen missing in the last 30 days
0

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 12 November 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), 170,238 subscribers as measured 12 November 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.