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Channel

泰国新闻曝光大事件(有偿投稿)

@TaiG002

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

3,134subscribers

-61 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001602429011
TypeChannel
Username@TaiG002
CreatedBetween 1 November 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/TaiG002

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 11 August 2026 and assigned it the closest of 31 fixed categories, at 75% 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 2 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
@TaiG002/17842 · this entry7 Aug 2026, 11:30 UTC@TaiG1/176487 Aug 2026, 11:31 UTC1.00under a minute
@TaiG002/17843 · this entry7 Aug 2026, 11:36 UTC@TaiG1/176497 Aug 2026, 11:36 UTC1.00under a minute
@TaiG002/17845 · this entry7 Aug 2026, 11:43 UTC@TaiG1/176517 Aug 2026, 11:43 UTC1.00under a minute
@TaiG002/17846 · this entry7 Aug 2026, 11:45 UTC@TaiG1/176527 Aug 2026, 11:46 UTC1.00under a minute
@TaiG002/17847 · this entry7 Aug 2026, 11:47 UTC@TaiG1/176537 Aug 2026, 11:47 UTC1.00under a minute
@TaiG002/17854 · this entry7 Aug 2026, 12:00 UTC@TaiG1/176607 Aug 2026, 12:00 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@TaiG110 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (100)
@TaiG00110 (8/8 hand-verifiable sample passed)1.00under a minute@TaiG001 (91)

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. 9 of the 9 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 10 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 3, the earliest publisher we hold is @TaiG001. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · 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 2 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

3,1343,1953,164.57 August 2026 — 3,195 subscribers8 August 2026 — 3,191 subscribers11 August 2026 — 3,134 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net -61. 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 3,125–3,204 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 18:223,134-57
8 Aug 2026, 17:353,191-4
7 Aug 2026, 18:463,195first reading

Engagement

10 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.112%
avg views ÷ 3,134 subscribers
Avg views / post
3.5
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
of 10 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held10 (7 August 20267 August 2026)
Views total35
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:46 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
14m 17s
Average length
3m 34s

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.

Recent posts

7 Aug 2026, 12:49 UTC8 viewsread 7 August 2026
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#网友曝光 #GAY #欠钱不还 死gay娘娘腔李堉睿还钱 这个台湾gay真是死不要脸啊,借钱的时候嘴巴跟抹了蜜一样,还钱的时候,脸皮比城墙还厚,借了钱去玩期货,赚没赚到钱我不知道,但是他妈的一分钱不还 借钱不还,吃饭喝酒就是蹭,一分钱不花,还是个死gay,见到男的就上手摸,一口台湾腔,每天就知道这个哥哥好 那个哥哥好,你以为你真是什么台湾小甜心吗?白白胖胖跟猪一样,说话还爱挤眉弄眼在那发电 每天骚的跟个什么似的,眼神看哪个男的都色,天天见到男的就往上凑,大家认准这个人,男的见到他都赶快绕路跑,这是个死gay,是个母0,是个骚猪,别被他盯上了,不然你甩不掉了,除非你想上他 他倒是很乐意 你以为一直不回消息、不接电话,玩失踪这事就过去了?赶紧给我还钱,不然我就找你台中的家人了! ——————————————— 👥泰国华人互助群 @Tai066 (https://t.me/Tai066) 🗣泰国大事件 @TaiG001 (ht

7 Aug 2026, 12:12 UTC5 viewsread 7 August 2026
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#越南新闻 逃离柬埔寨打击圈,韩国诈骗集团企图转战越南在岘港悉数落网。 据越南有关部门最新消息,一个此前在柬埔寨边境长期运营跨国网络诈骗的韩国籍犯罪团伙,在企图将犯罪基地转移至越南境内时,被越南警方精准布控并实施抓捕。目前,涉案的韩国籍核心嫌疑人已全部被依法移交给韩国执法部门,并押解回国接受审判。 警方的调查案卷显示,该犯罪团伙此前在柬埔寨边境的电信诈骗园区内,利用先进的“深度伪造”(Deepfake)技术冒充女性,针对韩国等地的受害者实施大规模的“杀猪盘”情感与虚假理财诈骗。在作案期间,该团伙不仅涉嫌诈骗巨额资金,还存在扣押成员护照、限制人身自由以及强迫受害者从事高强度网络非法劳务等严重违法犯罪行为。 随着近月来柬埔寨执法部门联合多国对境内非法在线诈骗园区展开严厉的“大扫荡”和地毯式清理,该诈骗团伙在柬埔寨的生存空间遭到毁灭性打击。为了逃避法律制裁,该团伙的核心骨干人员在近期潜逃出境,并密谋前往邻国越南,企图在越南中部的

7 Aug 2026, 12:00 UTC4 viewsread 7 August 2026
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缅北果敢回忆录:老街黑暗往事——从“淘金天堂”到人口贩卖链条 曾经的缅北果敢老街,在很多人眼中,是一个充满机会的地方。有人带着发财梦来到这里,有人相信所谓的“高薪工作”,踏上了一条改变人生的路。 但在一些幸存者的回忆里,老街的另一面,却隐藏着一条黑暗产业链。 招聘广告、高薪诱惑、熟人介绍……这些曾经是很多人进入果敢的第一步。有人以为自己只是来做客服、销售、技术岗位,却没想到等待自己的可能是限制自由、暴力控制,甚至成为犯罪集团交易链上的一环。相关调查显示,缅北部分地区曾存在以诈骗园区为依托的人口贩运、非法拘禁等犯罪行为。 在一些案件中,武装力量、地方势力和犯罪团伙之间复杂的关系,也让普通人难以逃离。一些受害者回忆,他们进入园区后,护照被扣押,行动受到限制,想离开需要支付高额“赎金”,甚至有人被转卖到其他地方。 果敢老街曾经灯火通明,赌场、酒店、园区林立,但繁华背后,是无数人的血泪经历。有人被骗走青春,有人失去自由,有人背

7 Aug 2026, 11:57 UTC4 viewsread 7 August 2026
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四川攀枝花警方破获一起特大“同城交友”电信网络诈骗案,抓获20余名嫌疑人! 央视新闻8月4日报道:近日,四川攀枝花警方以一男子被骗8万元的案件为突破口,辗转多地开展数月侦查,锁定一起涉案资金流水七千多万元的特大“同城交友”电信网络诈骗案。 ——————————————— 👥泰国华人互助群 @Tai066 (https://t.me/Tai066) 🗣泰国大事件 @TaiG001 (https://t.me/TaiG001) 🔔发布二手消息 @xiaoke6662 (https://t.me/xiaoke6662) 👉投稿爆料,商务 @xiaoke6662 (https://t.me/xiaoke6662)

7 Aug 2026, 11:51 UTC5 viewsread 7 August 2026
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在金边超市打工五六年后终于自己开店,中国男子被熟客绑架转走巨款生死不明 一名在金边旧机场附近开超市的中国男子被熟人绑架后转走大量钱款,到现在一年多仍生死不明,嫌疑人甚至直言:“我就是为了钱”。 在金边开超市的方女士(化名)表示,她被绑架的外甥名叫游风声,之前是在自己开的超市帮忙,有五六年的时间。后面游风声在附近自己开了个超市,没想到在送货的时候被人设局绑架,到现在生死未知。 方女士称,设局的人是超市的一名熟客老刘。老刘之前经常在方女士的超市买东西,一来二去跟方女士和外甥游风声都熟悉了。方女士只知道老刘是湖北人,其他来历没有问过。 家属认为,游风声被绑架可能是对方盯上了他父亲去世的赔偿金。游风声的父亲此前在工地上发生意外去世,被绑架前不久游风声刚拿到了赔偿金,存在ABA银行和汇旺里面。 绑架当天,老刘和另一名嫌疑人叶胜江(近日被捕)等人租了一辆路虎,还在附近租了一个房子作为埋伏的地点。方女士他们后面查监控发现,那辆路虎车

7 Aug 2026, 11:47 UTC2 viewsread 7 August 2026
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上海浦东警方捣毁“杀猪盘”电信网络诈骗团伙 50人落网! 8月3日,上海浦东警方对外通报一起“杀猪盘”电信网络诈骗案件。近期,警方在日常案件研判中梳理出多起同类受害警情,不少受害人反映,自己在网络结识异性并发展网恋关系后,被对方以各类理由索要钱财,待自身资金耗尽便遭到拉黑失联。 经专案组侦查,查明以杨某、张某为首的犯罪团伙,该团伙下设8个小组,组织分工严密。 为规避侦查风险,团伙集中管控智能手机,仅由组长登录交友软件物色男性被害人,团伙普通成员使用老年机发送短信开展聊天。成员多为男性,伪装成境遇坎坷的单身女企业家,备有成套诈骗话术,编造就医看病、缴纳房租、工程垫资等理由骗取钱财,遇被害人提出语音通话,则安排少数女性成员临时接听应付。 在完成证据固定后,6月16日,浦东警方开展集中收网行动,捣毁8处涉案窝点,抓获犯罪嫌疑人50名,现场查获大量作案手机、涉案账本。 经查,该案被害人近80名,多为25‑30岁男性,涉案总金额

7 Aug 2026, 11:45 UTC1 viewsread 7 August 2026
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8月3日,中国台湾地区法院作出终审宣判,曾出演电影《角头》的男演员李振豪,两度获刑18年,合并刑期最高可达30年。 李振豪本身为竹联帮成员,早前在台北经营酒店,疫情期间生意陷入困境。在听闻输送人员前往柬埔寨可以牟利之后,他勾结同伙蛇头林晋宇一同作案。 团伙在脸书、INS等社交平台发布虚假高薪招工广告,以包办护照、机票、包吃住作为诱饵,诱骗台湾民众赴柬埔寨。每成功输送一人,就能向诈骗园区收取1.7至1.8万美元报酬,前后共计拐骗88人。 受害人抵达柬埔寨之后被直接卖给电诈集团,遭到拘禁殴打、虐待逼迫从事电信诈骗。案件当中还有一对受害情侣,女生自述遭到侵害。 2024年检方先依据19名受害者证词起诉,李振豪一审获刑18年。后续警方再收集到另外30名被害人相关证据,检方追加起诉,再度判处其18年。两项刑罚合并,最高可执行30年监禁。 这起案件也再次敲响警钟,境外所谓东南亚高薪招聘暗藏巨大陷阱,切勿被优厚待遇说辞迷惑,避免沦为

7 Aug 2026, 11:43 UTC2 viewsread 7 August 2026
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柬埔寨通过暹粒吴哥机场遣返150名涉电诈中国籍人员 8月5日,柬埔寨移民部门通过暹粒吴哥国际机场口岸,将150名(含6名女性)中国籍人员遣返出境。经查,上述人员涉嫌网络诈骗以及在柬非法居留和非法务工。 此次行动系坚决贯彻柬领导层严格执法指示,绝不容许任何犯罪分子利用柬埔寨领土从事网络诈骗等非法活动。当局表示将继续严厉打击并遣返违法人员,同时深入打击网络犯罪幕后主脑,切实保障国家安全。 ——————————————— 👥泰国华人互助群 @Tai066 (https://t.me/Tai066) 🗣泰国大事件 @TaiG001 (https://t.me/TaiG001) 🔔发布二手消息 @xiaoke6662 (https://t.me/xiaoke6662) 👉投稿爆料,商务 @xiaoke6662 (https://t.me/xiaoke6662)

7 Aug 2026, 11:36 UTC2 viewsread 7 August 2026
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轻信境外“高薪”偷渡出国,男子落入诈骗园区遭殴打电击后逃生 近日,广西崇左硕龙边境派出所救助一名从境外逃回的男子。 据男子讲述,他此前轻信境外“高薪工作”诱骗,非法偷渡出境后被转卖至电信诈骗园区。在园区内,稍有不配合便遭到殴打、电击等虐待,生活陷入困境。最终,该男子设法逃离险境并返回国内。 警方提醒,境外高薪招聘背后可能隐藏诈骗、非法拘禁等风险,切勿轻信陌生招工信息,避免误入犯罪窝点。 ——————————————— 👥泰国华人互助群 @Tai066 (https://t.me/Tai066) 🗣泰国大事件 @TaiG001 (https://t.me/TaiG001) 🔔发布二手消息 @xiaoke6662 (https://t.me/xiaoke6662) 👉投稿爆料,商务 @xiaoke6662 (https://t.me/xiaoke6662)

7 Aug 2026, 11:30 UTC2 viewsread 7 August 2026
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万象警方捣毁4处电诈窝点,抓获35涉诈嫌疑人(含10名中国台湾籍) 据老挝媒体8月5日报道: 8月1日,万象市公安局治安处联合多部门开展专项清查行动,对西萨达纳县、西科达崩县共计4处网络代聊客服诈骗窝点实施突击抓捕,现场共抓获嫌疑人35名,查获大批电信网络诈骗作案工具。 ——————————————— 👥泰国华人互助群 @Tai066 (https://t.me/Tai066) 🗣泰国大事件 @TaiG001 (https://t.me/TaiG001) 🔔发布二手消息 @xiaoke6662 (https://t.me/xiaoke6662) 👉投稿爆料,商务 @xiaoke6662 (https://t.me/xiaoke6662)

Showing the 10 most recent of 10 posts we hold for @TaiG002. 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.

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

“泰国新闻曝光大事件(有偿投稿)” (@TaiG002), 3,134 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/TaiG002.

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.