👓 Science’s Inference Problem: When Data Doesn’t Mean What We Think It Does | New York Times

Read Science’s Inference Problem: When Data Doesn’t Mean What We Think It Does by James Ryerson (nytimes.com)
Three new books on the challenge of drawing confident conclusions from an uncertain world.
Not sure how I missed this when it came out two weeks ago, but glad it popped up in my reader today.

This has some nice overview material for the general public on probability theory and science, but given the state of research, I’d even recommend this and some of the references to working scientists.

I remember bookmarking one of the texts back in November. This is a good reminder to circle back and read it.

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Chris Aldrich

I'm a biomedical and electrical engineer with interests in information theory, complexity, evolution, genetics, signal processing, theoretical mathematics, and big history. I'm also a talent manager-producer-publisher in the entertainment industry with expertise in representation, distribution, finance, production, content delivery, and new media.

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