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