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Cool Science Radio | May 16, 2024

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Content provided by KPCW | Listen Like a Local, Lynn Ware Peek, and Katie Mullaly. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KPCW | Listen Like a Local, Lynn Ware Peek, and Katie Mullaly or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Dr. Arturo Casadevall from Johns Hopkins School of Public Health talks about a potential fungal epidemic in his new book, "What if Fungi Win?"Then, what if there was one overarching theory that could help explain much of our modern-day daily lives? Science journalist Tom Chivers explores the concept of the predictability of everything, based on a theorem developed by Thomas Bayes, an 18th-century Presbyterian minister and statistician.
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25 episodes

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Cool Science Radio | May 16, 2024

Cool Science Radio

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Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on September 05, 2024 20:40 (1d ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 418574907 series 2396105
Content provided by KPCW | Listen Like a Local, Lynn Ware Peek, and Katie Mullaly. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by KPCW | Listen Like a Local, Lynn Ware Peek, and Katie Mullaly or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Dr. Arturo Casadevall from Johns Hopkins School of Public Health talks about a potential fungal epidemic in his new book, "What if Fungi Win?"Then, what if there was one overarching theory that could help explain much of our modern-day daily lives? Science journalist Tom Chivers explores the concept of the predictability of everything, based on a theorem developed by Thomas Bayes, an 18th-century Presbyterian minister and statistician.
  continue reading

25 episodes

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