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Telegram profile photo for ◉迪拜新闻曝光

Channel

◉迪拜新闻曝光

@syxw3

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

57,911subscribers

+3,719 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-1002486412506
TypeChannel
Username@syxw3
Description◉迪拜新闻曝光 - 【视野资讯】 “视野新闻” 是一扇洞察热点新闻窗口,致力于为在外华人带来丰富、多元且具有深度的新闻资讯。 “视野新闻” 不仅是新闻的传递者,更是思考的引领者。 都将以广阔的视野、精彩的内容和优质的服务,成为你获取信息、开拓视野的最佳伙伴。 视野发布员 - 胖胖 : @syxw01
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 live14 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 14 November 2026
On Telegramt.me/syxw3

Topic

National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 46% 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 8 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
@syxw3/16351 · this entry6 Sept 2026, 03:13 UTC@syxw4/235256 Sept 2026, 07:25 UTC1.004.2 hours
@syxw3/16836 · this entry2 Oct 2026, 11:07 UTC@syxw4/255592 Oct 2026, 15:32 UTC1.004.4 hours
@syxw3/17136 · this entry16 Oct 2026, 12:07 UTC@syxw4/2671916 Oct 2026, 14:24 UTC1.002.3 hours
@syxw3/17188 · this entry20 Oct 2026, 13:04 UTC@syxw4/2699420 Oct 2026, 14:33 UTC1.0089 minutes
@syxw3/17189 · this entry20 Oct 2026, 13:04 UTC@syxw4/2699520 Oct 2026, 14:47 UTC1.001.7 hours
@syxw3/17308 · this entry30 Oct 2026, 11:10 UTC@syxw4/2771030 Oct 2026, 13:24 UTC1.002.2 hours
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
@syxw478 (8/8 hand-verifiable sample passed)1.004.1 hoursthis entry (68–10)
@syxw619 (8/8 hand-verifiable sample passed)0.9924 hours@syxw6 (16–3)
@syxw518 (7/8 hand-verifiable sample passed)1.0028 hours@syxw5 (12–6)
@syxw717 (8/8 hand-verifiable sample passed)0.9624 hours@syxw7 (15–2)
@dubaixinwen212 (8/8 hand-verifiable sample passed)0.89under a minute@dubaixinwen2 (12–0)
@syxw211 (7/8 hand-verifiable sample passed)0.9521 hours@syxw2 (10–1)
@syxw18 (7/8 hand-verifiable sample passed)0.9924 hours@syxw1 (6–2)
@dibai87 (7/7 hand-verifiable sample passed)0.902 days@dibai8 (7–0)

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. 84 of the 84 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 1,305 comparable posts for this entry, running 6 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).

Recorded under the keys clone_copy · clone_source, 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.

Growth

47,78960,80654,297.557,9117 August 202614 November 2026
65 measurements spanning 99 days, net +3,719. 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 45,836–62,759 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
14 Nov 2026, 09:4757,911-1,596
11 Nov 2026, 14:2059,507-239
9 Nov 2026, 22:2059,746-167
8 Nov 2026, 10:3959,913+5,272
7 Nov 2026, 07:2754,641-315
6 Nov 2026, 04:5854,956-140
5 Nov 2026, 04:5955,096-134
4 Nov 2026, 01:3855,230-468
3 Nov 2026, 03:1055,698-477
2 Nov 2026, 03:5056,175-175
1 Nov 2026, 06:2556,350-243
31 Oct 2026, 09:5556,593-252
30 Oct 2026, 09:2056,845-944
29 Oct 2026, 07:4457,789-698
28 Oct 2026, 05:1758,487-361
27 Oct 2026, 08:2858,848+2,914
26 Oct 2026, 11:3155,934-347
25 Oct 2026, 08:5656,281+5,219
24 Oct 2026, 08:2851,062-418
23 Oct 2026, 11:3651,480first reading

Engagement

1,325 posts held, back to 6 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 229 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.38%
avg views ÷ 57,911 subscribers
Avg views / post
1,380
312 posts measured
Reaction rate
0.066%
reactions ÷ views · ER floor
Posts in window
312
of 1,325 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 312 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 held1,325 (6 August 2026 – 14 November 2026)
Views total430,512
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 23:03 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
≈10,200
Videos
≈1,200
Links
≈6,420

Lifetime counters from Telegram’s own channel header, read 14 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
8m 08s
Average length
3s

Measured directly from 187 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

5 reactions across 5 posts, in 2 distinct kinds. The most used accounts for 80.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍480.0%
❤120.0%

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 5 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 28 August 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 312 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, 13:01 UTC≈1,410 viewsread 14 November 2026
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14 Nov 2026, 12:02 UTC≈1,330 viewsread 14 November 2026
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14 Nov 2026, 11:53 UTC≈1,210 viewsread 14 November 2026
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14 Nov 2026, 10:46 UTC≈1,280 viewsread 14 November 2026
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14 Nov 2026, 10:46 UTC≈1,300 viewsread 14 November 2026
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14 Nov 2026, 09:05 UTC≈1,490 viewsread 14 November 2026
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14 Nov 2026, 09:04 UTC≈1,500 viewsread 14 November 2026
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14 Nov 2026, 09:01 UTC≈1,500 viewsread 14 November 2026
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14 Nov 2026, 07:14 UTC≈1,500 viewsread 14 November 2026
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14 Nov 2026, 07:13 UTC≈1,630 viewsread 14 November 2026
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「黄仁勋或被撤换,股价盘后暴跌8%」 11月12日,据路透社及《华尔街日报》报道,美国AI芯片巨头英伟达(NVIDIA)董事会正考虑撤换公司创始人兼首席执行官黄仁勋,引发全球科技市场震动。 消息传出后,英伟达股价在11日美股盘后交易中一度下跌超过8%,从正常交易时段收盘价173.73美元跌至约159美元。 此次风波源于黄仁勋近期被曝出的私人关系争议,其中一名相关女性被怀疑与中国情报机构存在联系。相关指控及潜在安全风险正在受到调查。 黄仁勋现年63岁,是英伟达创始人,也是全球AI芯片产业最具影响力的人物之一。市场担忧,一旦其离职,可能影响英伟达的管理稳定性及全球AI产业投资信心。 截至目前,英伟达尚未正式宣布撤换黄仁勋,董事会最终决定仍有待确认。 🕑#广告赞助商 😀😀😀😀😀9G.COM 全球布局 实力保障 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 🀄️🀄️🀄️0充值,免费体验,中奖可提现 ✅订阅安危头条新…

14 Nov 2026, 05:26 UTC≈1,510 viewsread 14 November 2026
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阿联酋彩票:1亿迪拉姆大奖得主透露一年后如何花光了这笔巨款 在赢得阿联酋彩票1亿迪拉姆大奖一年后,阿尼尔库马尔·博拉在印度为父母购置了土地,在阿布扎比和迪拜购置了房产,并探索了人工智能和教育领域的商业机会。但他表示,生活中最大的改变是能够花更多的时间陪伴家人。 🕑#广告赞助商 😀😀😀😀😀9G.COM 全球布局 实力保障 😀😀😀😀😀7T.COM全球最稳的USDT娱乐城 🀄️🀄️🀄️0充值,免费体验,中奖可提现 ✅订阅安危头条新闻 🎙 https://t.me/+ME6ukmJPbD9jZmVh ✅安危头条新闻胖胖:@syxw01 Ⓜ️

14 Nov 2026, 01:02 UTC≈1,510 views1 reactionsread 14 November 2026

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Showing the 12 most recent of 1,325 posts we hold for @syxw3. 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 33 posts on @syxw3 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
26 August 2026
Most recent seen missing
11 November 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
11

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 48 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. The 21 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

“◉迪拜新闻曝光” (@syxw3), 57,911 subscribers as measured 14 November 2026. Telegram Register, tgregister.com/channel/syxw3.

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.