Marcus and Adam interview Marvin Barron, a fascinating entrepreneur who co-founded a database of American political investments. All of publicly-elected officials in the United States are required to disclose their investments, and most have a pretty good handle on the markets - FinePrintData aggregates that public data to allow anyone to construct their own duplicate hedge funds, while simultaneously providing necessary transparency to constituents. The insights are interesting - what exactly do politicians invest in, and what do the reports that are required look like and how are they useful? Also, how can machine learning serve as a real-time whistleblower for financial conflicts-of-interest?

Technical data science and (apolitically-presented) political theory combine in this can't-miss episode.

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