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6.1万枚比特币被扣,价值500亿元,47岁女子钱志敏在伦敦当庭认罪
Mei Ri Jing Ji Xin Wen·2025-09-30 14:04

Core Points - The case involves Zhimin Qian, the main defendant in the largest Bitcoin money laundering case in the UK, who admitted to charges related to Bitcoin laundering in court [1][3][5] - Over 128,000 victims were defrauded, with the case involving 61,000 Bitcoins, valued at approximately 49.35 billion RMB [1][15] - The investigation spanned seven years and involved multiple jurisdictions, highlighting the complexity of organized crime using cryptocurrencies [5][6] Group 1: Case Background - Zhimin Qian, also known as Yadi Zhang, is 47 years old and was involved in a major fraud scheme in China from 2014 to 2017, leading to over 128,000 victims [3][6] - The fraudulent scheme, known as the Tianjin Lantian Grey case, involved illegal fundraising exceeding 43 billion RMB, with Qian as the actual controller of the company [6][12] - Qian attempted to launder the illegal proceeds by converting them into Bitcoin and fleeing to the UK, where she was arrested in April 2024 [6][12] Group 2: Legal Proceedings - Qian has been detained and is awaiting sentencing, with the court proceedings expected to last 12 weeks [5][6] - The UK authorities are initiating asset forfeiture procedures due to Qian's guilty plea, and multiple Chinese victims will testify via video link [6][7] - The case is noted as one of the largest cryptocurrency seizures globally, with the UK police seizing over 61,000 Bitcoins, valued at approximately 6.932 billion USD [15] Group 3: Financial Implications - The investigation revealed that from 2014 to 2017, the fraudulent company raised over 40.2 billion RMB, with significant amounts used for purchasing Bitcoin [13] - The case has prompted discussions on the use of cryptocurrencies by organized crime to conceal and transfer assets, emphasizing the scale of criminal profits [5][6] - Victims have received partial compensation through a compensation plan established by China, but uncertainty remains regarding the recovery of their losses [5][6]