Mind Matters Natural and Artificial Intelligence News and Analysis


Guaranteed Likely Probable Certainty Measuring Confidence Level

Fine-tuning? How Bayesian Statistics Could Help Break a Deadlock

Bayesian statistics are used, for example, in spam filter technology, identifying probable spam by examining vast masses of previous messages

In the earlier part of podcast episode 150, “Ours is a finely tuned — and No Free Lunch — universe,” Swedish mathematician Ola Hössjer and University of Miami biostatistician Daniel Andrés Díaz-Pachón discussed with Walter Bradley Center director Robert J. Marks the many ways in which the universe is finely tuned for life. Many theorists are not happy with the idea of fine-tuning because they are uncomfortable with its theistic implications. In this second portion of the episode, they discuss how a method of estimating probability called Bayesian statistics or Bayes theorem could help break a deadlock around fine-tuning: https://episodes.castos.com/mindmatters/Mind-Matters-Episode-150-Hossjer-Diaz-.mp3 This portion begins at 13:00 min. A partial transcript, Show Notes, and Additional Resources follow. Robert J. Marks: Bayes’ theorem…