Résultats lu par "Daniel Kahneman" dans Toutes les catégories

We like to think we make decisions based on good reasoning–and that our doctors, judges, politicians, economic forecasters and employers do too. In this groundbreaking book, three world-leading behavioural scientists come together to assess the last great fault in our collective decision-making: noise. We all make bad judgements more than we think. Noise shows us what we can do to make better ones.

Neuroscientist, philosopher, podcaster and best-selling author Sam Harris has been exploring some of the greatest questions concerning the human mind, society and the events that shape our world. Harris’ search for deeper understanding of how we think has led him to engage and exchange with some of our most brilliant and controversial contemporary minds - Daniel Kahneman, Robert Sapolsky, Anil Seth and Max Tegmark - in order to unpack and understand ideas of consciousness, free will, extremism and ethical living.

Sam Harris—neuroscientist, philosopher, and bestselling author—has been exploring some of the most important questions about the human mind, society, and current events on his podcast, Making Sense. For Harris, honest conversation, no matter how difficult or controversial, represents the only path to moral and intellectual progress. This audiobook includes talks with Daniel Kahneman, Timothy Snyder, Nick Bostrom, and Glen Loury, on topics that range from the nature of consciousness and free will, to politics and extremism, to living ethically.

Cognitive scientist Professor Steven Pinker has spent his life thinking about thinking, and now he wants us to join him. With the aid of his critical thinking toolkit, he hopes to help us make smarter choices, become more rational, gain a greater understanding of the confused world we live in—and maybe even become better citizens. In this fascinating series, produced in partnership with the Open University, he examines the different ways the human brain can be tripped up, from understanding probability to the difference between correlation and causation.