ID the Future Intelligent Design, Evolution, and Science Podcast
Topic

maximum entropy

white horses
White horses in Camargue, France.

Life: Fearfully and Wonderfully Fine Tuned

Today’s ID the Future spotlights the incredible fine tuning of life. Robert J. Marks hosts Stockholm University professor of mathematical statistics Ola Hössjer and University of Miami population geneticist Daniel Díaz. The three discuss strategies for extending the concept of fine tuning to biological systems, and along the way touch on population genetics, entropy, and probability theory. At the center of the discussion are three technical papers—here, here, and here—each co-authored by one or more of the three members of today’s podcast discussion. This episode is reposted with permission from Mind Matters News, a website of Discovery Institute’s Walter Bradley Center for Natural and Artificial Intelligence. Head over to their podcast site to find the other episodes in this interview series.

violin music
Neck of violin with pegbox and scrool, on music sheet.

How Finely Tuned Is Our Universe?

On this ID the Future, Baylor University computer engineering professor Robert J. Marks hosts Ola Hössjer of Stockholm University and Daniel Díaz of the University of Miami to discuss a recent research paper the three contributed to the Journal of Cosmology and Astroparticle Physics, “Is Cosmological Tuning Fine or Coarse?” It turns out that’s no easy question to answer rigorously, but this is where the new paper comes in. In this episode the three unpack the long answer. What about the short answer? It’s akin to a description in The Hitchhiker’s Guide to the Galaxy: “Space,” it informs us, “is big. Really big.” Measuring how finely tuned our universe is for life is all about searching large spaces of possibilities; and as it turns out, the space of fine-tuning possibilities is really, really big. Tune in to learn more. *This episode is reposted here by permission of Mind Matters News, a publication of the Walter Bradley Center for Natural and Artificial Intelligence.