《女士品茶：统计学如何变革科学和生活》 （美）戴维·萨尔斯伯格 著 刘清山 译 九州出版社/后浪 2024年9月出版 上帝会掷骰子吗？ ——读《女士品茶：统计学如何变革科学和生活》 ◎张译井 与亲切得令人毫不设防的书名相比，《女士品茶：统计学如何变革科学和生活》一书的内容和主旨，在 优雅从容中的笔触下，不仅展现了科学的严谨理性，更增添了哲学的深邃思考。事实上，这本书并非描 述日常生活的小品，而是一本由美国统计学家戴维·萨尔斯伯格所著的统计学科普著作，其以20世纪英 国剑桥大学"女士品茶"的实验为切入点，带领读者追溯统计学从方法论雏形到系统学科的发展历程。 诺贝尔经济学奖得主托马斯·萨金特指出，人工智能本质上就是统计学的延伸，而那些能够在日常生活 中培养统计思维的人，将能更好地享受这个世界。本书通过性格迥异的皮尔逊父子、低调的戈塞特、天 才的费希尔等统计学家的生平事迹和理论交锋，串联起一百多年来统计学从无到有，直至蔚为壮观的变 革史诗。作者借助农业实验数据分析等著名案例，并结合历史学、社会学等多学科知识，深入浅出地解 读了统计学的专业理论、科学实践，以及背后的思想变革，为读者奉献了一场思想的饕餮盛宴。 从决定论 ...

Core Viewpoint - The article emphasizes the growing importance of statistics in the era of artificial intelligence, highlighting its applications across various fields such as business, medicine, engineering, and social sciences, while also addressing the challenges faced by AI technologies [1][2]. Group 1: Importance of Statistics - Statistics is not only used for government purposes but is also crucial in commercial, medical, engineering, and social science applications, focusing on data collection, analysis, and inference [1]. - The third National Conference on Statistics and Data Science featured over 600 academic reports, with nearly 25% related to machine learning and artificial intelligence [1]. Group 2: Challenges in AI - The "2024 Artificial Intelligence Development Report" by the China Academy of Information and Communications Technology identifies challenges such as insufficient interpretability of algorithms, security vulnerabilities, and irregular data labeling in AI [1]. - Current AI applications tend to prioritize algorithm functionality over understanding underlying mechanisms, particularly in high-stakes fields like medicine and construction, where stability and reliability are critical [1]. Group 3: Talent Development in Statistics - There is a growing emphasis on the cultivation of statistical talent in academia, as the demand for professionals in statistics and data science exceeds supply [2]. - The need for educational institutions to enhance their training capabilities is highlighted, aiming to produce more statisticians and data analysts while encouraging some to remain in academia [2]. Group 4: International Collaboration and Growth - Since the establishment of statistics as a primary discipline in 2011, there has been rapid development in statistical research in China, with Chinese authors now accounting for the second-largest share of publications in top international statistical journals [2]. - The conference attracted over 1,800 scholars, with 15% from abroad, indicating a growing international collaboration in the field [2].