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Telegram profile photo for 东南亚大事件

Channel

东南亚大事件

@daxxx

2 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

49,899subscribers

+8,079 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-1001825795082
TypeChannel
Usernames@chiguaceo @daxxx
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held124
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/daxxx

Topic

National news — 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 52% 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 12 other registered channels. This entry also sits inside a group of 8 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
@dibai8/4642519 Aug 2026, 19:55 UTC@daxxx/99185 · this entry19 Aug 2026, 19:56 UTC1.0072 seconds
@dibai8/4647120 Aug 2026, 16:38 UTC@daxxx/99296 · this entry20 Aug 2026, 16:39 UTC1.0072 seconds
@dibai8/4661323 Aug 2026, 15:36 UTC@daxxx/99652 · this entry23 Aug 2026, 15:37 UTC1.0072 seconds
@dibai8/471271 Sept 2026, 15:28 UTC@daxxx/100797 · this entry1 Sept 2026, 15:30 UTC1.002 minutes
@dibai8/474156 Sept 2026, 16:23 UTC@daxxx/101445 · this entry6 Sept 2026, 16:28 UTC1.005 minutes
@dibai8/4905817 Oct 2026, 15:47 UTC@daxxx/106757 · this entry17 Oct 2026, 15:47 UTC1.00under a minute
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
@dibai8265 (8/8 hand-verifiable sample passed)1.0072 seconds@dibai8 (264–1)
@dubaixinwen2231 (8/8 hand-verifiable sample passed)1.002 daysthis entry (231–0)
@XLABdxb70 (8/8 hand-verifiable sample passed)0.972 minutes@XLABdxb (52–18)
@bc123cobg53 (5/8 hand-verifiable sample passed)1.003 daysthis entry (53–0)
@woaidibai46 (8/8 hand-verifiable sample passed)1.0013 hoursthis entry (46–0)
@RR8vip44 (6/8 hand-verifiable sample passed)1.003 daysthis entry (44–0)
@dnymp42 (6/8 hand-verifiable sample passed)1.00under a minute@dnymp (38–4)
@qqxx131436 (6/8 hand-verifiable sample passed)1.004.8 hoursthis entry (33–3)
@DNY303028 (8/8 hand-verifiable sample passed)0.90under a minute@DNY3030 (27–1)
@dny194924 (8/8 hand-verifiable sample passed)0.96under a minutethis entry (22–2)
@dibaiTT20 (5/8 hand-verifiable sample passed)0.921.9 hoursthis entry (18–2)
@PPA63319 (7/8 hand-verifiable sample passed)0.9810 hoursthis entry (19–0)

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. 437 of the 437 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 1,447 comparable posts for this entry, running 7 August 2026 to 10 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 8 channels, the one whose matching posts we hold earliest is @dubaixinwen2. 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 11 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 8 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

34,56964,05549,31249,8997 August 202610 November 2026
124 measurements spanning 95 days, net +8,079. 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 30,146–68,478 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 124
Measured (UTC)SubscribersChange
10 Nov 2026, 22:1949,899-20
10 Nov 2026, 20:0149,919-1,099
9 Nov 2026, 09:1151,018no change
9 Nov 2026, 09:0051,018-736
8 Nov 2026, 03:2051,754-42
8 Nov 2026, 01:4551,796-669
6 Nov 2026, 22:5552,465no change
6 Nov 2026, 21:2652,465-385
6 Nov 2026, 02:1952,850no change
5 Nov 2026, 22:0552,850-577
5 Nov 2026, 00:5653,427-80
4 Nov 2026, 22:3653,507-489
3 Nov 2026, 21:4053,996no change
3 Nov 2026, 21:1053,996-330
2 Nov 2026, 23:1854,326no change
2 Nov 2026, 17:2954,326-64
2 Nov 2026, 01:4154,390-155
1 Nov 2026, 14:3454,545-281
1 Nov 2026, 03:2854,826-123
31 Oct 2026, 17:0454,949first reading

Engagement

2,086 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 178 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.27%
avg views ÷ 49,899 subscribers
Avg views / post
135
663 posts measured
Reaction rate
1.00%
reactions ÷ views · ER floor
Posts in window
663
of 2,086 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 48 of 663 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 10 November 2026
Posts held2,086 (7 August 2026 – 10 November 2026)
Views total89,197
Reactions total49
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 20:56 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

Video runtime
5h 33m
Average length
1m 18s

Measured directly from 256 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

91 reactions across 82 posts, in 4 distinct kinds. The most used accounts for 93.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8593.4%
❤33.30%
🤩22.20%
🙏11.10%

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 87 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 91 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 September 2026 to 10 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 663 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).

10 Nov 2026, 20:51 UTC6 viewsread 10 November 2026
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迪拜房产10月销售额增长18%,达348亿迪拉姆 房地产平台房产搜索(Property Finder)的最新分析显示,2026年10月迪拜房地产销售额达到348亿迪拉姆,环比增长18%;交易量增长5%,为三个月来首次回升。二手房交易明显增加,按揭贷款结构也出现变化。 当月,迪拜共完成11,883笔房地产交易,较9月增加5%。住宅销售走强、二手房市场回暖,带动交易量增长。 此前,迪拜房地产交易量已连续两个月下滑。虽然10月出现回升,但交易活跃度仍低于6月和7月,也明显少于1月和2月每月超过1.7万笔的水平。 10月销售额为348亿迪拉姆,接近7月的349亿迪拉姆;但交易笔数明显低于7月的14,138笔。 二手房交易回升 10月住宅交易量增长6%,达到11,294笔,总金额增长18%,达到302亿迪拉姆。 商业地产交易量下降4%,为589笔,但总金额增长22%,达到45亿迪拉姆。 二手房市场是本轮回升的主要推动力之一,转售交易…

10 Nov 2026, 20:51 UTC5 viewsread 10 November 2026
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阿联酋披露美伊冲突期间的拦截战绩:3617个空中威胁被击落,武装部队获表彰 阿联酋政府11月9日公布,在地区局势紧张期间,阿联酋武装部队拦截了3617个空中威胁。同日,政府在阿布扎比举行的年度会议上向军方颁发荣誉。

10 Nov 2026, 19:42 UTC7 viewsread 10 November 2026
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黄果短剧都开源了??!? 还得是GitHub……

10 Nov 2026, 19:27 UTC8 viewsread 10 November 2026
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#网友曝光 #天成担保 天成担保,跑路仲裁拖3-7天,拖完后不赔,不仲裁,真恶心,大家担保以后不要在天成,完全就是骗子担保,先忽悠你,拖到第七天把你踢了,不管事,不受理,什么都提供了,5万,给你买棺材吧

10 Nov 2026, 19:19 UTC10 viewsread 10 November 2026
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黑客也太与时俱进了,iOS 27 都已经是现在这代正式系统了,这漏洞 worse_query 直接打到 27.2,恶意 App 能跨沙盒去读别的应用本地文件,助记词、私钥要是明文放在手机里,就有被掏走的风险。

10 Nov 2026, 19:13 UTC7 viewsread 10 November 2026
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20亿迪拉姆,3公里,两个车站:迪拜地铁要在2031年延伸至阿勒马克图姆国际机场 20亿迪拉姆,3公里,两个车站,2031年通车。迪拜地铁要向正在建设中的阿勒马克图姆国际机场城(Al Maktoum International Airport City)再伸出一段。 11月10日,迪拜王储谢赫·哈姆丹·本·穆罕默德·本·拉希德·阿勒马克图姆在迪拜执行委员会会议上批准了这一延伸项目。这段3公里的延长线将从现有的“2020年路线”(Route 2020)延伸出去,新建两个车站,直接把地铁接到机场西航站楼。项目由迪拜道路与交通管理局(RTA)及迪拜工程项目管理局(Dubai Engineering Projects Establishment)负责实施。 延伸线通车后,西航站楼将不再只是一个航站楼。它将与机场快线以及阿提哈德铁路(Etihad Rail)的高速铁路网实现对接,把地铁、机场铁路和城际高速铁路串到一起。对乘客、机场工…

10 Nov 2026, 19:12 UTC5 viewsread 10 November 2026
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阿布扎比国家石油公司确认一艘船只在阿联酋领海遭袭受损 当地时间10日晚,阿联酋阿布扎比国家石油公司发布声明称,当天下午该公司一艘船只在波斯湾阿联酋领海遭袭受损。

10 Nov 2026, 19:11 UTC6 viewsread 10 November 2026
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继续友情提醒下:iOS 又有安全更新了…iPhone 已经不如以往那样的“安全”,各种恶意利用在冒出… 不乱安装 App,不乱打开陌生网页(尤其涉黄的… 以前这种提醒主要都是针对 Windows 的,时代变了

10 Nov 2026, 19:11 UTC3 viewsread 10 November 2026
Video

😄😄😄 #深夜吃瓜:金三角特区军营烧烤,一名中国男子喝多了闹事打人,喊打喊杀的,目前治安局已到达现场,枪都掏出来了! 特区乱不乱 中国人说了算…中国人的尿性大家都懂 喝了点马尿 地球🌏都是他说了算

10 Nov 2026, 18:59 UTC8 viewsread 10 November 2026
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😄😄😄 阿联酋人怎么看待“双11光棍节”?明知是营销噱头,但仍忍不住“剁手” “如果喜欢,就该把它放进购物车!” 碧昂丝这句话,在“双11”临近的时候,被很多人认真执行了。这一天不像情人节,你不需要为谁准备礼物——你只需要好好犒劳自己。与其叫它“光棍节”,不如叫它“悦己日”。 这个“节日”最早起源于中国,最初带着“反情人节”的意味,让没有伴侣的人有一个属于自己的节日。后来商业力量加入进来,它逐渐变成一场全球性的购物狂欢,规模甚至超过了“黑色星期五”。在阿联酋,它的打开方式也差不多:11月11日,打开购物应用,把心仪的东西加进购物车,挑一挑,然后下单。这一天属于所有人——单身也好,已婚也好,主题只有一个:为自己花点钱。 在阿联酋,“双11”怎么玩 在阿联酋,“双11”主要是一场线上促销。Noon和亚马逊(Amazon)等平台已经全面开启大促,折扣最高到90%,部分商品低至1迪拉姆(Dh1),配送时效从15分钟到当日送达不

10 Nov 2026, 18:52 UTC8 viewsread 10 November 2026
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以色列:迪拜航空航班遇袭事件乘客为敌对事件受害者 当地时间11月9日,以色列国防部宣布,正式将9月30日乘坐迪拜航空FZ1073航班的以色列乘客认定为敌对事件受害者。 目前,该决定已提交至以色列国家安全局(辛贝特)进行后续处理。

Showing the 12 most recent of 2,086 posts we hold for @daxxx. 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

Names

Channels on the register whose handles appear in this channel's posts.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

【吃瓜🍉&搞笑】
@GQSP9 · 57,264
Telegram ranks this channel #13 of 53 here — alongside 52 others — read 14 August 2026
吃瓜群众【 猎奇】
@chiguadog · 155,802
Telegram ranks this channel #24 of 48 here — alongside 47 others — read 12 August 2026
🍉吃瓜头条《新闻|搞笑|爆料》
@tuigsc · 57,253
Telegram ranks this channel #31 of 48 here — alongside 47 others — read 21 August 2026
🍉吃瓜搞笑俱乐部🌚
@cggxhhh · 259,508
Telegram ranks this channel #34 of 54 here — alongside 53 others — read 10 August 2026
搞笑段子《问题不大》😹
@GXduanzi1 · 53,634
Telegram ranks this channel #39 of 55 here — alongside 54 others — read 13 August 2026
(吃瓜)搞笑😐视频
@cgbg8 · 106,850
Telegram ranks this channel #51 of 59 here — alongside 58 others — read 15 August 2026

This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“东南亚大事件” (@daxxx), 49,899 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/daxxx.

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.