Data, Gender, and Truth
Chris discusses the historical context of the ENIAC computer, highlighting the often-overlooked contributions of women in programming and the complexities of data labor. He critiques the arbitrary nature of p-values in statistics, arguing that what is often presented as a definitive truth is instead a product of historical accidents and societal dynamics. This conversation sheds light on the intersection of data, gender, and the philosophy of truth in quantitative disciplines.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
703: How Data Happened: A History — with Columbia Prof. Chris Wiggins
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