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Channel

东南亚大事件

@djs123

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

251,814subscribers

-25,466 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-1001925022157
TypeChannel
Username@djs123
Description#东南亚 #柬埔寨 #菲律宾 #缅甸 #泰国 📰 东南亚大事件-聚焦东南亚 🔍 专注于东南亚华人最新动态资讯 🌍 实时更新,带您了解最新资讯动态 📢 精选独家报道,深度解析事件背后 📈 顶级的流量效应,精准覆盖目标观众 📩 投稿与合作:请联系 @dashijian18bot
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live4 September 2026
Measurements held27
Confirmed unchanged1 time, most recently 4 September 2026
On Telegramt.me/djs123

Topic

International 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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 1 other registered channel. 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 (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@djs123/28650 · this entry7 Aug 2026, 12:41 UTC@sililanka188/319467 Aug 2026, 12:42 UTC1.00under a minute
@djs123/28661 · this entry7 Aug 2026, 14:17 UTC@sililanka188/319577 Aug 2026, 14:17 UTC1.00under a minute
@djs123/28663 · this entry7 Aug 2026, 15:14 UTC@sililanka188/319597 Aug 2026, 15:14 UTC1.00under a minute
@djs123/28667 · this entry7 Aug 2026, 16:25 UTC@sililanka188/319687 Aug 2026, 16:26 UTC1.00under a minute
@djs123/28671 · this entry7 Aug 2026, 16:47 UTC@sililanka188/319747 Aug 2026, 16:47 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@sililanka1885 (5/5 hand-verifiable sample passed)1.00under a minutethis entry (50)

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. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 7 comparable posts for this entry, running 7 August 2026 to 7 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 2, the earliest publisher we hold is @djs123 — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 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 1 other registered channel, 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

241,688277,280259,4847 August 2026 — 277,280 subscribers8 August 2026 — 277,141 subscribers9 August 2026 — 276,600 subscribers10 August 2026 — 275,757 subscribers11 August 2026 — 275,110 subscribers11 August 2026 — 274,739 subscribers13 August 2026 — 274,058 subscribers14 August 2026 — 273,158 subscribers15 August 2026 — 272,575 subscribers16 August 2026 — 271,783 subscribers17 August 2026 — 271,097 subscribers18 August 2026 — 270,167 subscribers19 August 2026 — 269,679 subscribers20 August 2026 — 243,524 subscribers22 August 2026 — 242,635 subscribers23 August 2026 — 241,688 subscribers25 August 2026 — 246,228 subscribers25 August 2026 — 270,011 subscribers27 August 2026 — 268,960 subscribers28 August 2026 — 268,043 subscribers29 August 2026 — 266,968 subscribers29 August 2026 — 258,852 subscribers31 August 2026 — 257,394 subscribers1 September 2026 — 256,117 subscribers2 September 2026 — 253,956 subscribers3 September 2026 — 252,844 subscribers4 September 2026 — 251,814 subscribers251,8147 August 20264 September 2026
27 measurements spanning 28 days, net -25,466. 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 236,349–282,619 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
4 Sept 2026, 17:57251,814-1,030
3 Sept 2026, 02:37252,844-1,112
2 Sept 2026, 01:46253,956-2,161
1 Sept 2026, 03:58256,117-1,277
31 Aug 2026, 01:23257,394-1,458
29 Aug 2026, 23:07258,852-8,116
29 Aug 2026, 02:03266,968-1,075
28 Aug 2026, 00:54268,043-917
27 Aug 2026, 01:32268,960-1,051
25 Aug 2026, 22:27270,011+23,783
25 Aug 2026, 00:44246,228+4,540
23 Aug 2026, 13:13241,688-947
22 Aug 2026, 00:35242,635-889
20 Aug 2026, 22:22243,524-26,155
19 Aug 2026, 18:46269,679-488
18 Aug 2026, 19:22270,167-930
17 Aug 2026, 20:38271,097-686
16 Aug 2026, 19:47271,783-792
15 Aug 2026, 11:08272,575-583
14 Aug 2026, 03:27273,158first reading

Engagement

771 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 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.166%
avg views ÷ 251,814 subscribers
Avg views / post
419
753 posts measured
Reaction rate
0.264%
reactions ÷ views · ER floor
Posts in window
753
of 771 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 76 of 753 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 6 September 2026
Posts held771 (7 August 20266 September 2026)
Views total315,434
Reactions total76
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 02:25 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
23,000
Videos
6,690
Links
11,700

Lifetime counters from Telegram’s own channel header, read 7 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 00m
Average length
44s

Measured directly from 326 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

76 reactions across 70 posts, in 9 distinct kinds. The most used accounts for 30.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2330.3%
👍1215.8%
🎉911.8%
👀911.8%
👏810.5%
🔥79.21%
💯67.89%
👌11.32%
🤩11.32%

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 76 of the 771 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 76 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 771 most recent posts we hold, published 7 August 2026 to 6 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

6 Sept 2026, 14:55 UTC65 views1 reactionsread 7 September 2026
Photo

柬埔寨就是要逼死大多数赌场 关于柬埔寨这次禁止赌场运营线上博彩,根本目的依然还是:逼更多赌场关闭、吊销。 前期,对于那些纵容、包庇电诈的赌场,当局已经揪出来一批给关停吊销了。现在,必须给赌场继续上发条,把赌场逼得更紧、逼上绝路。最后效果就是:一部分赌场被逼直接倒闭,一部分赌场继续搞网赌,然后被查处、吊销关闭。 柬埔寨的赌场太多了。官方要压缩规模。具体到西港,未来能有5家就算不错了。 关注大事件频道🙂@djs123 投稿: @vk999

1

6 Sept 2026, 14:50 UTC49 viewsread 7 September 2026
Video

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6 Sept 2026, 14:32 UTC46 viewsread 7 September 2026
Video

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6 Sept 2026, 14:18 UTC46 viewsread 7 September 2026
Photo

#网友投稿:东南亚之行,感慨见解 我和朋友常年在菲律宾做事。8月25号那天,两个人钱包里没剩多少钱,索性飞去斯里兰卡转转。破产国家,机票便宜,反正也没多少钱可花,就当换个地方喘口气。 刚落地,行李转盘旁边一块灯箱上,大大的「X6宝马会」。 第一眼没看懂是什么,就当普通广告扫了一眼,也没太在意,拖着行李就走了。结果没想到,后面几天,这个广告开始一点点钻进我们的生活。 商场的大屏幕、店铺的招牌上,都是X6的Logo。去小店买个打火机,壳上又是他们的Logo。 晚上逛夜市吃饭,一次性餐具的包装、纸巾盒,甚至酱料碟托盘上,都能看到类似的标识。不是一块两块,而是散落在各种你意想不到的地方。走着走着就会撞上,想躲都躲不开。 游玩兰卡这几天,朋友刚好在吉隆坡开工,便邀我过去看看,于是买了29号的机票。第二天到了吉隆坡,朋友便直接带着我们几个出去吃当地很有名的潮汕火锅。没想到,店里的餐巾上又印着X6宝马会的广告。 听朋友说,不仅是

6 Sept 2026, 13:47 UTC47 viewsread 7 September 2026
Video

#群友反馈:越南胡志明昨天3郡 一小区内设立办公室被突袭,警察上门抓,现场抓捕了不少人。 关注大事件频道🙂@djs123 投稿: @vk999

6 Sept 2026, 13:39 UTC40 viewsread 7 September 2026
Video

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6 Sept 2026, 13:37 UTC43 views1 reactionsread 7 September 2026
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#群友投稿:最近看到很多中国人欺骗中国人,中国人杀害中国人,中国人绑架中国人的,我想说一句。 请问你的祖宗是中国人吗,或者说是人吗?都是出门在外不求你能互帮互助,但求你别伤害。有时候看着都感觉心疼感觉跟狗咬狗一样。 这些做坏事的中国人,你父母在国内吧,你的妻儿在国内吧或许你想着干了这样的坏事,你不打算回国了,说句难听的在外通过迫害同胞挣几十万几百万美金。 又够你享受多少时日呢,你又能快活多久呢。如此害群之马你可知天外有天人外有人,你死无葬身之地的时候有谁会心疼你,可能都是说死的好吧。 无论你是做什么行业,但求不要迫害同胞,挣自己该挣的钱有哪个丧尽天良的人在东南亚有好下场的,希望在东南亚的同胞反思。 关注大事件频道🙂@djs123 投稿: @vk999

🔥1

6 Sept 2026, 13:37 UTC32 viewsread 7 September 2026
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6 Sept 2026, 13:20 UTC40 viewsread 7 September 2026
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#群友投稿:我感觉把,身为一个男人,不应该在任何事面前找借口、找理由。 错了就是错了,敢承担,敢面对。不说做到度君子之腹了,最起码应该是:贪财有道,好色有品,喝酒有量,玩笑有度。不说有多讲义气了,有多尽孝道了吧。 为人处世应该尊重下女人。我也有想睡的女人,但是我没有表露过我睡了多少个女人。我没有张口闭口就提“b吧,毕竟在这个爱意随风起的年代,一顿饭、一杯酒,或许就可以睡一起的事情太多了。 我真听不习惯,睡了多少个女人的,和这个怎么,和那个怎么的。数量成了他炫耀的资本,成了他张口闭口的谈资了。数量代表不了什么,只能说你这个人滥情、廉价……毕竟垃圾堆里能捡的只有垃圾。因为最近我看到这种事情多了,所以我想吐槽两句。 其实我一直认为,人应该是个多偶物种,并不是单一的单偶物种。你敢说,你和你身边的人在一起过了新鲜感,没有在蠢蠢欲动了吗?没有在期待新的一段感情嘛? 说单一,只是为自己的自私开脱,找个对ta自私的理由罢了。男人不能容

6 Sept 2026, 13:13 UTC36 viewsread 7 September 2026
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#越南资讯:新娘、岳母、娘家全是假的,越南5人骗中国男子2.8亿越南盾结婚款获刑 9月4日,越南同塔省一起专门搭建“假娘家”骗结婚款的案件宣判。43岁的阮氏芳草被判9年6个月监禁,她的丈夫阮黄英武被判8年,另外3名同伙各被判7年。 2025年4月,阮氏芳草得知一名38岁的中国男子想在越南找对象结婚后,利用自己会中文的优势,化名充当婚姻介绍人,并开始安排整套骗局。 她找来19岁的阮玉草冒充新娘,又让44岁的阮氏黄莺冒充新娘母亲,同时安排石仲等人配合扮演女方亲属,还花50万越南盾租下一间民宅,临时布置成女方“娘家”。 4月7日,双方在胡志明市见面,中国男子同意结婚。3天后,他被带到这间假娘家见“女方家人”,当场交出7000万越南盾。此后,这伙人又以结婚、准备手续和送礼等理由多次收钱。 4月20日前后,中国男子和父亲再次来到越南准备婚礼。前往美湫途中,对方又收走1.75亿越南盾和两部手机。 到了美湫后,“新娘”等人借带父子

6 Sept 2026, 12:53 UTC36 viewsread 7 September 2026
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6 Sept 2026, 12:52 UTC33 views1 reactionsread 7 September 2026
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#国内资讯:“国家反诈AI”正式上线 可疑电话短信直接丢进去 AI帮你判断是不是诈骗 9月6日,“国家反诈AI”App正式上线。该应用由公安部刑侦局指导、上海市公安局自主研发,主要用于帮助用户快速判断可疑电话、短信和其他涉诈场景。 用户遇到拿不准的情况,可以直接把相关内容输入App,系统会分析诈骗风险、识别常见套路,并给出对应的防范建议,还会结合真实案例,用文字、语音和视频拆解诈骗手法。 “国家反诈AI”主要有三项功能。 第一项是AI智能问答。用户直接提问,系统会判断风险、识别诈骗类型,并给出处理建议,同时推送相关案例。 第二项是反诈资讯,集中更新高发诈骗预警、新型诈骗套路和典型案例,方便用户快速了解近期常见骗局。 第三项是反诈辞典,内置反诈宣传手册和防骗指南,可以通过分类、关键词搜索和语音朗读查询相关内容。 这款应用由上海警方此前推出的“803反诈”智能体升级而来。2025年12月30日,“803反诈”智能体上线

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Showing the 12 most recent of 771 posts we hold for @djs123. 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

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

“东南亚大事件” (@djs123), 251,814 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/djs123.

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