Are We Being Misled by Data? Ron Wasserstein on AI, Bias, and Statistical Truth

In this episode of Breaking Math, Autumn and Noah speak with Ron Wasserstein, Executive Director of the American Statistical Association, about what statistics means in a world increasingly shaped by AI, misinformation, and fragile public trust. Wasserstein argues that statistics is not merely a “bag of tools,” but a way of thinking: asking where data comes from, what it leaves out, how uncertainty should be communicated, and when numbers are being used to illuminate rather than manipulate.

Chapters

00:00 The Golden Age of Statistics

02:36 AI's Impact on Statistics

08:16 Data as Fuel for AI

10:55 Bias in AI and Statistics

14:01 Preparing Future Statisticians

16:58 Bridging the Gap: Academia and Industry

22:58 The Misconception of Statistics

23:08 The Role of Statistics in Public Discourse

26:20 The American Statistical Association's Mission

32:18 Statistics and Politics: A Historical Perspective

36:02 Addressing Misinformation and Misuse of Data

39:51 The Importance of Statistical Literacy

44:01 Misconceptions About Statistics and Expertise

46:57 The Essence of Statistics

47:22 Statistics as a Way of Thinking

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