Core Viewpoint - The article discusses the prevalence of fraudsters impersonating individuals with prestigious titles, such as military generals and academicians, exploiting societal trust in authority and expertise to deceive others [3][4]. Group 1: Cases of Fraud - Two individuals, 阮某平 and 余某翔, were arrested for impersonating military and government officials to gain illegal profits [3]. - A third case involved 苏文, who falsely claimed to be a foreign academician and promised a significant investment of 33 billion yuan in a project, which turned out to be a scam [3][5]. Group 2: Societal Factors Contributing to Fraud - The article highlights that societal respect for authority and professional titles makes individuals more susceptible to fraud [4]. - A prevailing value system that prioritizes success and results further lowers vigilance and discernment among the public, making them easier targets for fraudsters [4]. Group 3: Implications for Local Governments - The 郏县 government experienced a significant loss due to inadequate verification of the credentials of the fraudster, reflecting systemic issues in project evaluation and due diligence [5]. - The 郏县 government acknowledged the need for improved mechanisms in investment attraction to prevent similar incidents in the future [5]. Group 4: Recommendations for Individuals - Individuals are encouraged to enhance their knowledge and information to reduce information asymmetry and to cultivate independent thinking, avoiding blind trust in authority figures [6]. - By doing so, the market for fraudulent activities can be diminished, leading to a more stable and trustworthy environment [7].

Core Viewpoint - The article highlights the downfall of the AI startup Bu il d e r. a i, emphasizing the importance of verifying claims and relying on data-driven decision-making rather than intuition [1][7]. Group 1: Bu il d e r. a i Case Study - Bu il d e r. a i, founded by Sachin Dev Duggal, once valued at over $1.5 billion, was revealed to lack actual AI technology and relied on fabricated financial data [1]. - The company managed to deceive investors for eight years, with excuses for delays and poor code quality being accepted without scrutiny [1]. - The situation parallels the Theranos scandal, where Elizabeth Holmes misled high-profile investors with false promises, leading to her conviction [1]. Group 2: Investor Psychology - The article discusses why intelligent investors fall for obvious lies, attributing it to reliance on intuition rather than rational tools [2]. - A mathematical example illustrates how even highly educated individuals can be misled by their instincts, emphasizing the need for structured analysis [2]. Group 3: Cognitive Biases in Venture Capital - Three cognitive biases are identified in the venture capital space: halo effect, story dependence, and authority worship, which lead to poor decision-making [3]. - Investors often overlook due diligence due to the impressive backgrounds of founders or compelling narratives [3]. Group 4: "企查查思维" (Qichacha Thinking) - "企查查思维" is introduced as a methodology that emphasizes data-driven decision-making, risk identification, and market opportunity insights [4][5]. - The approach encourages the use of comprehensive data from platforms like Qichacha to inform business decisions rather than relying solely on intuition [5]. Group 5: Practical Applications of "企查查思维" - Examples from various regions illustrate how businesses utilize Qichacha for verifying company information, enhancing supplier risk monitoring, and improving hiring processes [6]. - The methodology aims to integrate external data into decision-making processes, enhancing competitive intelligence and data-driven decision-making [6]. Group 6: Lessons from Bu il d e r. a i - The collapse of Bu il d e r. a i serves as a cautionary tale about the vulnerabilities in human cognition and the importance of rigorous verification in the age of AI [7]. - The article concludes with a call for decision-makers to prioritize data over intuition, reinforcing the need for a systematic approach to business evaluation [8].