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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