Telegram RegisterThe public register of Telegram

Channel

东南亚大事件✨新闻✨

@Laosijibaikezixun

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

12,772subscribers

-1,044 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001786818540
TypeChannel
Username@Laosijibaikezixun
Description#大事件新闻: 头条、曝光、爆料、悬赏、 ☎️广告合作商务: @dnyouwen 聚焦东南亚华人圈的最新新闻事件,深度揭秘灰产内幕,记录真实故事,不间断追踪区域内外的动态变化。
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Laosijibaikezixun

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 86% 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 5 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
@DNYBCBG/81956 Aug 2026, 10:37 UTC@Laosijibaikezixun/3170 · this entry6 Aug 2026, 10:37 UTC1.00under a minute
@Laosijibaikezixun/3171 · this entry7 Aug 2026, 22:25 UTC@DNYBCBG/81987 Aug 2026, 22:25 UTC1.00under a minute
@DNYBCBG/82007 Aug 2026, 22:26 UTC@Laosijibaikezixun/3173 · this entry7 Aug 2026, 22:26 UTC1.00under a minute
@DNYBCBG/82027 Aug 2026, 22:29 UTC@Laosijibaikezixun/3175 · this entry7 Aug 2026, 22:29 UTC1.00under a minute
@DNYBCBG/82047 Aug 2026, 22:30 UTC@Laosijibaikezixun/3177 · this entry7 Aug 2026, 22:30 UTC1.00under a minute
@Laosijibaikezixun/3184 · this entry7 Aug 2026, 22:54 UTC@DNYBCBG/82097 Aug 2026, 22:54 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@DNYBCBG6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (60)
@dongnanyabocaixinwen6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (60)
@dongnanyavip6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (60)
@dnydsjcom6 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (60)
@zh_Porn916 (6/6 hand-verifiable sample passed)1.00under a minutethis entry (60)

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 10 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 6, the earliest publisher we hold is @zh_Porn91. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 8 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 5 other registered channels, 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

12,77213,81613,2947 August 2026 — 13,816 subscribers8 August 2026 — 13,692 subscribers9 August 2026 — 13,626 subscribers10 August 2026 — 13,513 subscribers11 August 2026 — 13,222 subscribers12 August 2026 — 12,772 subscribers7 August 202612 August 2026
6 measurements spanning 4 days, net -1,044. 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 12,615–13,973 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 04:2812,772-450
11 Aug 2026, 01:3113,222-291
10 Aug 2026, 04:1213,513-113
9 Aug 2026, 05:5213,626-66
8 Aug 2026, 07:2413,692-124
7 Aug 2026, 23:1613,816first reading

Engagement

36 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 13 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.096%
avg views ÷ 12,772 subscribers
Avg views / post
12.3
36 posts measured
Reaction rate
14.4%
reactions ÷ views · ER floor
Posts in window
36
of 36 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 34 of 36 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 11 August 2026
Posts held36 (6 August 202611 August 2026)
Views total443
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 12:12 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
2,240
Videos
582
Links
1,550

Lifetime counters from Telegram’s own channel header, read 12 August 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
3m 54s
Average length
59s

Measured directly from 4 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

60 reactions across 34 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
60100.0%

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 34 of the 36 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 60reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 6 August 2026 to 11 August 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

11 Aug 2026, 10:07 UTC28 views2 reactionsread 12 August 2026
Photo

#国内新闻 公安部网安局公布10起个人信息黑产案,沈阳、临夏两案牵出电诈涉赌链条 8月11日,公安部网安局公布10起打击侵犯公民个人信息犯罪典型案例。相关案件均表述为“近日”侦破或查明,没有公布统一抓捕日期。 辽宁沈阳警方打掉一个以“高薪兼职注册营业执照”为名盗用身份信息的犯罪团伙。25岁的杨某国、29岁的谢某才等人,以首次注册营业执照给200元、完成后续手续再给200至300元为诱饵,招募人员携带身份证到现场拍摄,并利用身份信息非法注册电商账号和工商营业执照。 这些账号随后以每条100至300元的价格出售给下游买家,最终流入涉赌、涉电诈犯罪团伙,用于非法支付结算或洗钱。警方查明,该团伙非法获取公民个人信息3000余条,涉案20余万元,27名犯罪嫌疑人已被依法采取刑事强制措施。 甘肃临夏警方则从一起电诈案件继续追查,发现以38岁的崔某伟为首的团伙,通过社交软件和短视频平台发布兼职广告,以“闲置账号高价变现”为名,大量收购

2

11 Aug 2026, 10:06 UTC22 views2 reactionsread 12 August 2026
Video

#国内资讯 涉案金额逾620万港元!香港警方侦破一援交诈骗团伙,8人落网! 港媒8月10日报道:近日,香港警方侦破一个活跃超过两年的诈骗团伙。该团伙利用年轻人及有经济压力人群的心理弱点,以每月高额“包养费”为诱饵实施诈骗,通过虚构律师费、保证金等名目骗取钱财,甚至对受害者实施二次诈骗。 警方开展专项行动成功捣毁该犯罪集团,案件累计涉80宗诈骗案,涉案金额逾620万港元。 警方于8月4日展开拘捕行动,精准瓦解这一长期运作的网络诈骗集团。本次行动共拘捕4男4女,年龄介于23岁至57岁,成员包含集团主脑、骨干及普通涉案人员,部分人员有黑社会背景。涉案人员涉嫌串谋诈骗、洗黑钱、管有危险药物等多项罪名。行动中,警方查获多部手机、电话卡等关键涉案证物。 司法进展显示,该团伙主脑及一名核心骨干已被暂控“串谋诈骗”及“洗黑钱”罪名,于8月5日提堂,目前已还押候审,案件将于10月28日再审讯;其余被捕人员已获准保释等候调查。 香港警方

2

11 Aug 2026, 10:05 UTC13 views2 reactionsread 12 August 2026
Forwarded from @dnybocai88Photo

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2

11 Aug 2026, 10:05 UTC15 views2 reactionsread 12 August 2026
Photo

#老挝资讯:向泰国移交41名涉嫌非法经营网络赌博及诈骗人员 8月10日,老挝有关部门在老挝—泰国第一友谊大桥(万象—廊开)举行人员移交仪式,将41名涉嫌在老挝非法经营网络赌博网站、从事计算机系统犯罪以及通过电信和通信系统实施诈骗(Scammer)的泰国籍嫌疑人移交给泰国有关部门处理,其中包括30名女性。 此次移交的41名嫌疑人涉嫌违反老挝《刑法》第141条、第173条和第233条的相关规定。移交仪式上,老方代表由老挝—泰国第一友谊大桥国际口岸出入境警察负责人坎坎·甘塔翁中校签署移交文件,泰方则由廊开府移民局副负责人蒂亚纳帕·朗西帕玛纳坤中校签署接收文件,双方相关人员共同参加。 据介绍,这41名嫌疑人此前由老挝公安部专项工作组联合机动防卫力量,在7月18日对位于万象市哈赛丰县栋坡西村的ST VEGUS独资有限公司办公楼展开搜查时被控制。 老挝方面表示,此次将相关嫌疑人移交泰国,是依据老挝有关出入境及外国人管理的法律,并按照老

2

11 Aug 2026, 10:04 UTC10 views2 reactionsread 12 August 2026
Forwarded from @dnybocai88Photo

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2

11 Aug 2026, 10:04 UTC11 views2 reactionsread 12 August 2026
Photo

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2

11 Aug 2026, 10:04 UTC8 views2 reactionsread 12 August 2026
Forwarded from @dnybocai8Photo

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2

11 Aug 2026, 10:04 UTC10 views2 reactionsread 12 August 2026
Photo

#诈骗园区未消失:华人老板转移“办公室”至宿舍楼,约3000名外籍人员仍在园区 华人老板将“诈骗办公室”转移至宿舍楼,诈骗活动并未消失——从湄索边境即可看到。在此前针对诈骗团伙展开大规模打击行动后,不少人可能认为,缅甸妙瓦底沿线的诈骗园区已经被关闭或停止运营。 但来自缅甸一侧、与泰国达府湄索边境相对的 Yulong Bay Park(玉龙湾园区) 最新消息显示,实际情况可能并非如此。 诈骗人员并没有消失,而是在“换楼”,同时改变运营方式,让整个诈骗活动更加隐蔽。 从诈骗大楼转移到“宿舍办公室” 当地消息人士透露,此前曾被用作诈骗办公室的多栋建筑已经被缅甸军方封锁,因此部分华人老板将运营地点转移到工人居住的宿舍楼内。 这些建筑大约有3至4层。据报道,部分建筑的一楼已经被改造成诈骗工作的办公区域,而楼上仍然作为住宿场所使用。 据了解,园区内的中国籍工作人员被限制自由离开宿舍楼。目前园区内对车辆也实施了限制,每家公司只能

2

11 Aug 2026, 10:03 UTC6 views2 reactionsread 12 August 2026
Forwarded from @dnybocai88Photo

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2

11 Aug 2026, 08:18 UTC12 views2 reactionsread 12 August 2026
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【🔥 #大事件曝光|东南亚巨型博彩黑盘 #金贝娱乐 改名为 #金宝娱乐)公然黑吃黑!】 金贝娱乐(金宝娱乐)网址: http://Jinbeibets.com 对外吹嘘十年电子综合盘、平台充值金额有几十亿,支持人民币充值,原名金贝娱乐,现改名金宝娱乐(杀猪盘)现在我全网收集他盘口老板的资料,我要扒掉你的底裤,因为你赚着钱却没有江湖规矩,没有底线。愿赌服输,但你吃我,我就整你平台,我看你通道撑到何时,随时欢迎老板你来找我。 在你平台玩了八年,输了两千万,新换号后都输了两百万,一次未提现,新账号申请一次提现三十万,直接黑吃黑,不出款还吃我账户余额本金,直接锁死账户,关联账户通通限制登录。 以前有个管理绰号#龙大圣,此人做资金盘很多年,艾特反诈中心 此人就是漏网之鱼。纵容管理给台子搞成黑心杀猪盘,出事之后平台百般推诿,各种歪理借口搪塞,没有一个人站出来解决问题。我能砸进去这么多,也不差这点钱。我不惜耗时间、耗成本,死磕到底,盯

2

9 Aug 2026, 11:58 UTC42 views1 reactionsread 12 August 2026
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1

9 Aug 2026, 05:05 UTC26 viewsread 10 August 2026
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Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_5728133129

Showing the 12 most recent of 36 posts we hold for @Laosijibaikezixun. 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.

Citation-graph rank

Citation-graph rank — 531,101 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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 2 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.

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

“东南亚大事件✨新闻✨” (@Laosijibaikezixun), 12,772 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Laosijibaikezixun.

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.