Telegram RegisterThe public register of Telegram

Channel

泰国大事件(有偿投稿)

@TaiG001

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

15,204subscribers

-370 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-1001711974875
TypeChannel
Username@TaiG001
Description泰国大事件I泰国新闻实事I曝光爆料就来泰国大事件🇹🇭 其他同名频道都不是真的⚠️ 本频道链接:@TaiG001 华人交流群:@Tai066 有偿投稿/商务合作找小编: @xiaoke6662 有偿投稿/商务合作找小编: https://t.me/xiaoke6662 更多新闻频道: 泰国新闻曝光大事件:@TaiG002 泰国头条|泰国新闻|Thailand生活咨询攻略:@TaiG1
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 live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/TaiG001

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 72% 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
@TaiG001/23524 · this entry7 Aug 2026, 11:30 UTC@TaiG1/176487 Aug 2026, 11:31 UTC1.00under a minute
@TaiG001/23525 · this entry7 Aug 2026, 11:35 UTC@TaiG1/176497 Aug 2026, 11:36 UTC1.00under a minute
@TaiG001/23527 · this entry7 Aug 2026, 11:43 UTC@TaiG1/176517 Aug 2026, 11:43 UTC1.00under a minute
@TaiG001/23528 · this entry7 Aug 2026, 11:45 UTC@TaiG1/176527 Aug 2026, 11:46 UTC1.00under a minute
@TaiG001/23529 · this entry7 Aug 2026, 11:47 UTC@TaiG1/176537 Aug 2026, 11:47 UTC1.00under a minute
@TaiG001/23536 · this entry7 Aug 2026, 11:59 UTC@TaiG1/176607 Aug 2026, 12:00 UTC1.002 minutes
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)
@TaiG00210 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (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. 1 of the 1 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 — 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 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

15,20415,57415,3897 August 2026 — 15,574 subscribers7 August 2026 — 15,574 subscribers8 August 2026 — 15,519 subscribers9 August 2026 — 15,457 subscribers10 August 2026 — 15,413 subscribers11 August 2026 — 15,279 subscribers12 August 2026 — 15,217 subscribers13 August 2026 — 15,204 subscribers7 August 202613 August 2026
8 measurements spanning 5 days, net -370. 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 15,149–15,630 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 03:0415,204-13
12 Aug 2026, 04:3215,217-62
11 Aug 2026, 07:2615,279-134
10 Aug 2026, 07:1815,413-44
9 Aug 2026, 09:5315,457-62
8 Aug 2026, 09:3415,519-55
7 Aug 2026, 17:3015,574no change
7 Aug 2026, 17:2815,574first reading

Engagement

81 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 16 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.03%
avg views ÷ 15,204 subscribers
Avg views / post
460
81 posts measured
Reaction rate
4.00%
reactions ÷ views · ER floor
Posts in window
81
of 81 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 1 of 81 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 12 August 2026
Posts held81 (7 August 202612 August 2026)
Views total37,273
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 15:57 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
16,300
Videos
3,680
Links
8,090

Lifetime counters from Telegram’s own channel header, read 13 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
35m 23s
Average length
1m 02s

Measured directly from 34 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 of the 81 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 81 most recent posts we hold, published 7 August 2026 to 12 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

12 Aug 2026, 10:57 UTC618 viewsread 13 August 2026
Photo

朱镕基同志逝世 中国共产党中央委员会、中华人民共和国全国人民代表大会常务委员会、中华人民共和国国务院、中国人民政治协商会议全国委员会沉痛宣告:中国共产党的优秀党员,久经考验的忠诚的共产主义战士,杰出的无产阶级革命家、政治家,党和国家的卓越领导人,中国共产党第十四届、十五届中央政治局常委,国务院原总理朱镕基同志,因病医治无效,于2026年8月12日11时06分在北京逝世,享年98岁。 朱镕基同志,1928年10月生,湖南长沙人。 ——————————————— 👥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)

12 Aug 2026, 10:32 UTC39 viewsread 13 August 2026
Video

#最新消息:今天中午金三角特外杀疯了,老挝警察到处查,到处追,没护照的兄弟赶紧撤!!! PS:看监控都开枪了,安全最重要,开工无所谓 ——————————————— 👥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)

12 Aug 2026, 10:26 UTC767 viewsread 13 August 2026
Video

#网友反馈:昨天凌晨在马来西亚雪兰莪州锡米山,抓了几百个外劳,缅甸人居多,还有少于居住在那边的中国人。 PS:马来西亚天天抓外劳怎么抓不完一样? ——————————————— 👥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)

12 Aug 2026, 10:13 UTC617 viewsread 13 August 2026
Video

#群友投稿:老挝金三角“特外”,现在有几个大老黑正在无情殴打盘口的中国籍代理! 起因是最近老挝抓人抓的比柬埔寨还凶,搞得公司干不下去了,都快破产了,代理工资没有给老黑们结算清楚,老黑就怒了! ——————————————— 👥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)

12 Aug 2026, 10:12 UTC724 viewsread 13 August 2026
Video

#网友反馈:越南胡志明“7郡”vin公寓,现在有当地警察挨家挨户敲门核对证件,刚刚从我这里走,附近证件不齐全的兄弟注意规避! ——————————————— 👥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)

12 Aug 2026, 10:09 UTC835 viewsread 13 August 2026
Video

#群友爆料:我单位于今日8月11日向三佛塔全面进攻 打击电信诈骗 此次联合多方武装共同打击BGF 势在必得 希望在三佛塔附近的园区里面的兄弟们早点撤离吧 ——————————————— 👥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)

12 Aug 2026, 10:08 UTC15 viewsread 13 August 2026
Photo

#群友投稿:🇰🇭西港伯莱旁边有打野的被围了,现场还在摇人叫宪兵过来,附近兄弟注意!!! ——————————————— 👥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)

12 Aug 2026, 10:04 UTC774 viewsread 13 August 2026
Photo

#群友吐槽:公司刚搬到斯里兰卡就给我整破防了,在电梯里看到一个黑哥们抱着一个非常漂亮的小姐姐,我脑袋里都在幻想着她吃黑屌的样子,为什么不是我😭😭😭 话说小姐姐们,黑人哪里好了?要体贴没有咱们敲键盘的舔狗体贴,要实力没有咱们盘总有实力,到底图个啥? PS:中国男人都是包茎包皮小鸡巴小姐姐不喜欢情有可原 ——————————————— 👥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)

12 Aug 2026, 10:02 UTC873 viewsread 13 August 2026
Photo

#柬埔寨资讯:10天内驱逐788名非法外国人,涉及21个国家和地区,315名中国籍涉诈人员被遣返 柬埔寨移民总局近日公布,在8月1日至8月10日期间,柬埔寨执法部门依法驱逐非法居留及涉嫌违法犯罪的外国人共788人,其中女性92人,涉及21个国家和地区。 被驱逐人员涉及的21个国家和地区包括:韩国、中国、中国台湾、多哥、泰国、尼日利亚、尼泊尔、孟加拉国、巴基斯坦、马来西亚、缅甸、利比里亚、越南、新加坡、斯里兰卡、加纳、印度、印度尼西亚、意大利、德国以及埃及。 其中:315名中国籍人员(包括15名女性)因涉嫌参与网络诈骗(Online Scams)犯罪活动,被柬埔寨通过特别航班遣返回中国,分别经由德崇国际机场和暹粒吴哥国际机场出境。 14名泰国籍人员(包括3名女性)因涉及网络诈骗案件,被通过戈公省柴桢国际边境口岸(Cham Yeam International Border Gate)遣返回泰国。 此外,其余被驱逐外国人还

12 Aug 2026, 09:59 UTC564 viewsread 13 August 2026
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#国内新闻 安徽1至7月反诈战果公布 拦下9169万元现金和17.6公斤黄金 安徽省政府新闻办8月11日上午举行发布会,公布今年以来全省打击治理电信网络诈骗工作情况。 今年1至7月,安徽电诈案件数同比下降38.6%,损失同比下降44.2%。自2025年7月以来,全省已连续12个月实现电诈案件数和损失数同比双下降。 同期,安徽打击处理电诈及关联犯罪违法人员数量同比上升13.7%,依法联合惩戒2621人。警方联合银行拦截已经向诈骗团伙交付的现金9169万元、黄金17.6公斤,并向被骗群众返还资金2.8亿元。 今年以来,安徽警方已见面劝阻3.86万人,同时持续清剿出租、出借银行卡和手机卡、盗接盗打电话、跑分洗钱等涉诈黑灰产,并加强涉诈重点人员劝返管控,严防人员外溢作案。 通信行业方面,今年已核查处置涉诈异常电话卡87.9万张,协助公安机关拆除“黑盒子”设备72套,抓获涉案人员30名。 ——————————————— 👥泰国华

12 Aug 2026, 09:56 UTC638 viewsread 13 August 2026
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🇱🇦 老挝万象警方捣毁网络诈骗窝点 逮捕261名嫌疑人 近日,老挝万象警方突击搜查塔銮湖专区一处大楼,成功破获一起特大电诈及网赌案,逮捕来自7个国家和地区的261名嫌疑人(包括153名中国籍、61名越南籍、36名泰国籍等),并缴获近500台电脑及2355部手机。 此前,警方于7月18日在万象另一起行动中抓获589名嫌疑人。老挝当局已于8月6日和10日分批将其中73名泰国籍涉案人员移交泰方。目前案件仍正进一步深挖中。 ——————————————— 👥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)

12 Aug 2026, 09:53 UTC768 viewsread 13 August 2026
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柬埔寨移民总局10天内遣返788名非法外籍人员 8月1日至10日期间,柬埔寨当局依法将来自21个国家和地区的788名(女92人)非法外籍人员驱逐出境。 涉案人员包含韩国、中国(含台湾)、泰国、越南等国籍。其中315名中国籍及14名泰国籍电诈涉案人员,已分别通过德崇国际机场、暹粒吴哥国际机场及赞扬国际口岸遣返。其余人员因非法入境、逾期拘留、涉毒等罪行被遣返。 当局强调,柬埔寨绝不容许犯罪分子利用其领土从事非法活动。 ——————————————— 👥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 12 most recent of 81 posts we hold for @TaiG001. 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 — 167,372 of 1,169,250entries 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.

Mentions

Named by 3 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“泰国大事件(有偿投稿)” (@TaiG001), 15,204 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/TaiG001.

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.