Join us for an IEA Book Club discussion with Alex Edmans, Professor of Finance at London Business School and acclaimed author, as he delves deep into the themes of his latest book, "May Contain Lies: How Stories, Statistics and Studies Exploit Our Biases - And What We Can Do About It". Hosted by Tom Clougherty, Executive Director, this event promises to unravel the intricacies of bias in education, peer review, and data interpretation, offering invaluable insights.
Alex outlines the value and transformative power of questioning and curiosity in education. Drawing from personal experiences and scholarly research, he challenges conventional methods of learning and advocates for a paradigm shift towards fostering independent thinking and inquiry. Alex presents key examples where data presentation has be interpreted to mean two opposing conclusions, from the benefits with wider pay gaps, diversity quotas, and many more.
In a thought-provoking exchange, Alex dissects the flaws within the peer review process, shedding light on how bias can permeate academia and hinder scientific advancement. From humorous anecdotes to sobering revelations, he navigates through the complexities of data interpretation, urging audiences to embrace intuition while remaining vigilant of the limitations of data-driven approaches.
00:00 Introduction
00:50 Exploring Education Bias
10:15 Challenging Conventional Learning
14:00 Misrepresenting Pay Gap findings
15:40 Questioning the Status Quo
17: 20 Mandated Diversity Quotas
20:10 Unraveling Peer Review Biases
25:50 Peer Review Anecdotes
30:15 Navigating Data Interpretation
35:40 Examples of Data Misinterpretation
40:20 Addressing Bias in Academia
45:05 Embracing Intuition vs. Data
50:30 Conclusion
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