Science

How to Expect the Unexpected: The Science of Making Predictions―and the Art of Knowing When Not To

How to Expect the Unexpected: The Science of Making Predictions―and the Art of Knowing When Not To

  • Downloads：8579
  • Type：Epub+TxT+PDF+Mobi
  • Create Date：2023-11-21 06:21:30
  • Update Date：2025-09-08
  • Status：finish
  • Author：Kit Yates
  • ISBN：1541604938
  • Environment：PC/Android/iPhone/iPad/Kindle

Reviews

Jim ，

I learned more practical applications for probability methods and real world examples that made this book worth reading。

Mike Lisanke ，

This book is Not Entirely Worthless。。。 still it comes dangerously close。 The author is definitely familiar with logic， probability and statistics and the Many Well-Known Stories about holes in logic and lack of familiarity with Probability Statistics and non-linear growth and relationship （e。g。 reciprocal） which affect peoples judgements。 But the book is called， How to Expect the Unexpected。。。 It doesn't address how to do this。。。 except laud modern maths （sic） models。 Instead it tells us mostly This book is Not Entirely Worthless。。。 still it comes dangerously close。 The author is definitely familiar with logic， probability and statistics and the Many Well-Known Stories about holes in logic and lack of familiarity with Probability Statistics and non-linear growth and relationship （e。g。 reciprocal） which affect peoples judgements。 But the book is called， How to Expect the Unexpected。。。 It doesn't address how to do this。。。 except laud modern maths （sic） models。 Instead it tells us mostly we Can't Expect the Unexpected （which can be said in one sentence）。 Also， a science book should Never mention Politics and confuse Science with Policy But this book does throughout。 Why？ Likely because it wanted to be a NYT Best Seller。 So the Author is Just Another Sellout。 Kit Yates， I looked up your PhD Thesis because I seriously wondered after the mid-point if you'd ever really had an original thought。 I don't know statistical biology well-enough to tell， if you do！ That's a bad come away from one of your well-proofread books。 I won't be back to read your other book（s）。 。。。more

Emma Govan ，

Excellent

Reader ，

This was an excellent read （listen on Audible） and I’d highly recommend to anyone with an interest in applying logic and mathematics to modelling and prediction。 Very accessible for non experts but with enough depth and interesting real world examples to keep those with more knowledge and experience interested。 Have read a few similar books to this one but felt I took more away from this one than any other， likely owing to the authors direct experience in the field。