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Channel

曝光东南亚事件新闻

@wqbysc98

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

33,239subscribers

-14,795 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-1001366382506
TypeChannel
Username@wqbysc98
Description#迪拜 #柬埔寨 #泰国 #缅甸 #金三角 #马来西亚 #越南 #菲律宾 #土耳其 #斯里兰卡 #东南亚 #东欧 ✅东南亚大事件 频道专注于东南亚华人最新动态资讯,生活故事分享,海外华人求助,让你看尽海外华人大小事。 @xiuche696969 吃瓜爆料群众 @wnx2013 反差萝莉御姐 @wqbysc98 曝光东南亚新闻 @sucaishenghuo 第一视角素材 投稿:@tougao88
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/wqbysc98

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 54% 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@DNYXWWBG/4507 Aug 2026, 15:30 UTC@wqbysc98/59364 · this entry7 Aug 2026, 15:51 UTC1.0020 minutes
@DNYXWWBG/4517 Aug 2026, 15:30 UTC@wqbysc98/59365 · this entry7 Aug 2026, 15:51 UTC1.0020 minutes
@DNYXWWBG/4547 Aug 2026, 15:30 UTC@wqbysc98/59368 · this entry7 Aug 2026, 15:51 UTC1.0020 minutes
@DNYXWWBG/4567 Aug 2026, 15:30 UTC@wqbysc98/59370 · this entry7 Aug 2026, 15:51 UTC1.0020 minutes
@DNYXWWBG/4597 Aug 2026, 15:30 UTC@wqbysc98/59373 · this entry7 Aug 2026, 15:51 UTC1.0020 minutes
@DNYXWWBG/4607 Aug 2026, 15:30 UTC@wqbysc98/59374 · this entry7 Aug 2026, 15:51 UTC1.0020 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DNYXWWBG7 (7/7 hand-verifiable sample passed)1.0020 minutes@DNYXWWBG (70)

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 14 comparable posts for this entry, running 6 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 @DNYXWWBG. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, 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

33,23948,03440,636.57 August 2026 — 48,034 subscribers8 August 2026 — 47,477 subscribers9 August 2026 — 47,318 subscribers10 August 2026 — 47,051 subscribers11 August 2026 — 46,559 subscribers12 August 2026 — 46,275 subscribers13 August 2026 — 46,097 subscribers14 August 2026 — 45,806 subscribers15 August 2026 — 45,433 subscribers17 August 2026 — 44,765 subscribers18 August 2026 — 44,524 subscribers19 August 2026 — 44,402 subscribers20 August 2026 — 44,083 subscribers21 August 2026 — 41,669 subscribers22 August 2026 — 40,250 subscribers24 August 2026 — 39,998 subscribers25 August 2026 — 39,857 subscribers26 August 2026 — 39,655 subscribers27 August 2026 — 37,313 subscribers28 August 2026 — 37,030 subscribers29 August 2026 — 36,522 subscribers30 August 2026 — 36,263 subscribers31 August 2026 — 36,170 subscribers1 September 2026 — 36,017 subscribers2 September 2026 — 35,867 subscribers4 September 2026 — 35,730 subscribers6 September 2026 — 35,491 subscribers9 September 2026 — 35,034 subscribers11 September 2026 — 34,495 subscribers13 September 2026 — 33,972 subscribers15 September 2026 — 33,444 subscribers17 September 2026 — 33,239 subscribers7 August 202617 September 2026
32 measurements spanning 41 days, net -14,795. 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 31,020–50,253 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 08:0033,239-205
15 Sept 2026, 10:0133,444-528
13 Sept 2026, 18:5933,972-523
11 Sept 2026, 23:3634,495-539
9 Sept 2026, 13:2035,034-457
6 Sept 2026, 07:3835,491-239
4 Sept 2026, 03:3635,730-137
2 Sept 2026, 20:3935,867-150
1 Sept 2026, 18:5436,017-153
31 Aug 2026, 21:4736,170-93
30 Aug 2026, 18:2436,263-259
29 Aug 2026, 15:5336,522-508
28 Aug 2026, 14:3337,030-283
27 Aug 2026, 11:2337,313-2,342
26 Aug 2026, 08:0539,655-202
25 Aug 2026, 10:4339,857-141
24 Aug 2026, 08:1239,998-252
22 Aug 2026, 18:2740,250-1,419
21 Aug 2026, 07:0741,669-2,414
20 Aug 2026, 06:5244,083first reading

Engagement

450 posts held, back to 6 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 76 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.388%
avg views ÷ 33,239 subscribers
Avg views / post
129
265 posts measured
Reaction rate
2.83%
reactions ÷ views · ER floor
Posts in window
265
of 450 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 22 of 265 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 21 September 2026
Posts held450 (6 August 202621 September 2026)
Views total34,200
Reactions total23
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 05:57 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
56,400
Videos
5,470
Links
2,820

Lifetime counters from Telegram’s own channel header, read 22 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
55m 17s
Average length
43s

Measured directly from 77 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

23 reactions across 22 posts, in 3 distinct kinds. The most used accounts for 91.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2191.3%
14.35%
👌14.35%

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 22 of the 450 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 23 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 450 most recent posts we hold, published 6 August 2026 to 21 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

21 Sept 2026, 11:31 UTC≈1,080 viewsread 22 September 2026
Photo

中国、马达加斯加警方首次联合开展打击电信网络诈骗行动 中国公安部刑侦局消息:近日,应马达加斯加警方邀请,中国公安部派工作组赴马达加斯加,协助当地警方开展打击电信网络诈骗行动,成功捣毁位于马达加斯加首都塔那那利佛等地的多个电信网络诈骗窝点。 9月8日,在马达加斯加方面协助下,首批50名涉电信网络诈骗犯罪人员被顺利遣返回中国。目前,相关案件正在进一步侦办中。 公安部有关负责人表示,此次行动是中马两国深化国际执法合作取得的重要成果。中国警方将始终对电信网络诈骗犯罪坚持“零容忍”态度,依托不久前成立的国际打击电信网络诈骗联盟,与各国执法部门加强协作联动,坚决清剿电信网络诈骗窝点,全力缉捕犯罪嫌疑人,切实维护各国人民合法权益。

21 Sept 2026, 11:30 UTC36 viewsread 22 September 2026
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#群友反馈:波贝这个位置,刚刚被端了。里面很多泰国人,还有印尼人。都没护照的,全在大厅坐着。 盘口是中国老板,他们说保护伞很强。给他们增加一下曝光度

21 Sept 2026, 11:30 UTC≈1,160 viewsread 22 September 2026
Video

#网友投稿:西港一打野地点被围,里边是一群印尼人,刚刚还在谈判,现在直接拉上车带走~

21 Sept 2026, 11:30 UTC≈1,090 viewsread 22 September 2026
Video

#补充视频:伊斯兰堡国家网络犯罪部门展开大规模行动,对E11/3一处呼叫中心突击检查,逮捕了100多名人员。 此前文章: PS:全是本地人呀🤣

21 Sept 2026, 11:30 UTC≈1,070 viewsread 22 September 2026
Photo

#网友爆料::交克智慧城3号别墅,果盘精聊,曝光一个“狗管理”,名叫金凡,东北人。眼睛很小,贼眉鼠眼,牙齿黄黄的,还有口臭,走路摇头晃晃的,感觉自己很牛逼的样子。 其实什么也不是,天天仗着自己接触这个项目早,而且和主管关系好,就拿黑公司那套来搞下面的组员。天天xidu岔道,就搞下面人的心态。 这个公司不是黑公司,一共三个组,就他搞特殊,没有任何管理能力和业务能力。他来公司也敲过业绩,粉逼业绩没有。 是什么让你觉得自己行的呢?靠溜须拍马才做到这个位置。你记着,虽然你把我搞走了,但是东南亚就这么大,你个***,你会受到反噬的。你记住,心术不正的人早晚都得死。听他说自己是回不去的人。 国内会继续收集你的资料,交给警察并且曝光你。 还有就是,他和另一位管理一起xidu,说旁边办公室的管理大锤管不了他,他只听主管麒麟的,说什么别人都是JB。现在祖上有点业绩了,更牛逼了。 此人走路很有特点,头一直在晃。后续会持续更新他的资料。

21 Sept 2026, 11:29 UTC≈1,030 viewsread 22 September 2026

#老挝资讯:今年已查处6500余名涉诈人员,反诈行动扩大至多地经济特区 老挝方面近日公布反网络犯罪阶段性数据。根据老挝公安部门相关信息,2026年1月至9月中旬,全国在打击呼叫中心诈骗、网络诈骗及跨境网络赌博行动中累计控制涉案人员6508人。 数据显示,今年前6个月累计查处4482人,行动覆盖博胶、沙耶武里、万象、甘蒙、沙湾拿吉、色贡、占巴塞、琅南塔、乌多姆赛及川圹等多个省份。 7月至8月,执法行动进一步扩大至部分经济特区及重点区域,又查处约1718人,前8个月累计达到6200人。进入9月后,截至月中又有308人在相关行动中被控制。 相关信息称,随着部分涉诈团伙从集中场所向地方分散转移,老挝执法部门正在扩大排查范围并持续开展突击检查。

21 Sept 2026, 11:29 UTC21 viewsread 22 September 2026
Photo

#网友爆料:原名:兴业集团,之前柬埔寨波哥山一期,现在在巴基斯坦。 该公司在26年2月份因为严打第一次搬到黑桃A,鄙人在一月份一个印尼客户挤牙膏,一点一点挤到三万多U,然后在黑桃A,客户又进了五千多U,结果因为扫荡,明明到打枪的时候又搬家,因此客户也失去了。 每次问老板什么时候发工资,老板和总监一直拖拖拉拉,导致最后原本70多人的盘口演变为六七人……可想而知老板的为人。 2月份的工资一直拖到现在杳无音信,问代理,代理还说什么老板因为搬家亏了很多钱!公司亏你亏,下面的员工也要跟着你一起亏吗?你吃肉的时候,员工怎么只能喝汤呢? 同一时期的员工客户进钱都没有工资!怪不得之前跟你的几个大代理都跑去老挝了!赶羚羊机掰,不处理,下一步曝光老板照片和员工照片以及宿舍照片!

21 Sept 2026, 11:29 UTC≈1,120 viewsread 22 September 2026
Photo

在东南亚这个圈子有一种人不能去帮,帮这种人反而会让你深陷险境。 这种人就是没脑子的人,如果是人笨一点,那起码他会思考问题,但是没脑子的人连最基本思考问题都不会。 俗话说可怜之人必有可恨之处,这句话一点不假,这类人真的是一点不值得同情,tg这个圈子大家都知道骗子很多,被骗了就来投稿,要让你帮他发稿子,我说这类的不发,他说,你们是一伙的吧。 然后我说你没脑子吗?别人害怕遇到骗子,最起码还能先来找我私聊问下靠不靠谱,你被骗了就要别人帮你,别人又不欠你,凭什么就一定要帮你?别人不帮你这种没脑子的人就开始搞道德绑架,道德绑架不了就破防了。 还有一种就是赌的人,爱贪小便宜,遇到了假冒的黑平台,要么就是自己去平台套钱被发现了,就来曝光别人,投稿不给他发,他就说你和骗子是一伙人。 还有一种就是敲诈勒索这类,其次就是拿着2-3年前已经发烂的帖子又来投稿,非要让我给他发,不发就是一伙的。 说的一套一套的,我说你咋不去找CCTV帮你曝光呢

21 Sept 2026, 11:28 UTC≈1,050 viewsread 22 September 2026

马德望夫妻在家开网赌被抓 9月19日上午,马德望省戈戈县警方突查一处住宅,抓获涉嫌在家经营网络赌博的夫妻二人,分别为29岁男子和37岁女子。警方同时查获2部手机、2台电脑、2台显示器、1台Wi-Fi设备及其他相关物品。 报道援引消息人士称,两人此前就曾从事相关活动,在其他网赌窝点被打掉后,转到自己家中继续经营,最终被警方发现。

21 Sept 2026, 11:28 UTC≈1,160 viewsread 22 September 2026
Video

#群友吐槽:今天吐槽一下这个柬埔寨这个国家的腐败程度,堪称饿狼的诗集。 也奉劝一下在海外的同胞,不管你是做诈骗还是正当生意也好,柬埔寨已经不是你们当初想的那样,这里遍地是美金的地方。 上月底戈公七星海大扫网络电诈活动(无差别抓人,看到中国人就抓,有不少还是有护照、签证手续,路边走的、游玩的),本人就是当天几十号人其中一个,因没有护照在外被警察带走。 当天有些人被抓时,警察、宪兵第一时间就要钱,有些人有实力的,充值一个人2-3万美元左右一个人,交钱直接放走;有的交钱了也被黑的不放人也有。 本人没太多钱,只能老老实实被他们带走时,身上有现金,苹果16手机一部。后面被带戈公的一个警察局临时安置点,带20天。关押的警察一个比一个黑,进去前身上值钱一点的个人物品直接被没收私囊,身上有现金多几千的,就留个几百给你带进去买东西。 进到里面的人只有两条路:现场抓的人,一周内录完口供,到去法院开庭,隔天就送监狱服刑;其余有护照或护照签证

Showing the 12 most recent of 450 posts we hold for @wqbysc98. 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.

东南亚华人新闻曝光
@cgssbb · 48,294
Telegram ranks this channel #9 of 9 here — alongside 8 others — read 26 August 2026
吃瓜中心|热点曝光
@chigua6680 · 240,050
Telegram ranks this channel #13 of 59 here — alongside 58 others — read 11 August 2026
东南亚大事件-聚焦时事
@pp854 · 65,908
Telegram ranks this channel #14 of 37 here — alongside 36 others — read 19 August 2026
☀️【佳佳】生活素材馆☀️
@sucai277 · 111,782
Telegram ranks this channel #16 of 35 here — alongside 34 others — read 15 August 2026
狗推素材 【南派联盟】🔴
@sck888 · 63,145
Telegram ranks this channel #23 of 29 here — alongside 28 others — read 19 August 2026
💯【佳佳】美食素材圈💯
@sucai177 · 111,407
Telegram ranks this channel #29 of 34 here — alongside 33 others — read 15 August 2026
文案馆向西走/头像/素材
@YTT786 · 86,721
Telegram ranks this channel #30 of 65 here — alongside 64 others — read 17 August 2026

This channel appears in 7 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“曝光东南亚事件新闻” (@wqbysc98), 33,239 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/wqbysc98.

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.