Razib Khan's Unsupervised Learning

Updated: 11 May 2025 • 248 episodes
razib.substack.com

Razib Khan engages a diverse array of thinkers on all topics under the sun. Genetics, history, and politics. See: http://razib.substack.com/

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  Today, Razib talks about a new paper, A structured coalescent model reveals deep ancestral structure shared by all modern humans: Understanding the history of admixture events and population size changes leading to modern humans is central to human evolutionary genetics. Here we introduce a coalescence-based hidden M

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  On this episode of the podcast Razib talks to John Sailer. Sailer is currently the director of higher education policy and a senior fellow at the Manhattan Institute. He covers issues of academic freedom, free speech, and ideological capture in higher education. Sailer has written for the Wall Street Journal, the Fre

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  On this episode of Unsupervised Learning Razib talks to Jacob Shell. Shell is a professor of geography at Temple University and author of Transportation and Revolt: Pigeons, Mules, Canals, and the Giants of the Monsoon Forest: Living and Working with Elephants. Educated at Columbia and Syracuse universities, Shell is

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  On this episode of Unsupervised Learning Razib talks to Matt Welch. He co-founded the Prague-based newspaper Prognosis in the early 1990’s and later worked as an opinion section editor for the Los Angeles Times. From 2008-2016, Welch served as editor-in-chief of Reason magazine, where he currently holds the position

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  On this episode of Unsupervised Learning Razib comments on a new paper in Nature, Ancient DNA from the Green Sahara reveals ancestral North African lineage. Here is the abstract: Although it is one of the most arid regions today, the Sahara Desert was a green savannah during the African Humid Period (AHP) between 14,

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  On this episode of Unsupervised Learning, Razib talks to Andrew Song, co-founder of Make Sunsets. An NYU graduate with a degree in economics, Song was a member of the Y Combinator class of winter 2016. Before becoming a founder, Song worked at firms involved in data analytics and artificial intelligence. A repeat att

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