I liked this book, it gave you an overall view of what you could be doing and I liked the honesty of the author to say that he doesnt do everything he says, you have to choose what you think you can do.
I found the practical steps very useful.
Just knowing the biases we have and the stats on just improving the process of decision making by involving more people makes a big difference was very useful advice.
The fact that billion dollar decisions were made w/ out even counter points being made due to confirmation bias.
Even asking people to come up w/ more than one choice so they dont get attached to a single choice.
Lots of insights ... now which audible book to buy next ... try to avoid the familiarity bias ...
I really enjoyed this book, it wasn't too technical and not too fluffy either, it was just right :)
Since I took chemistry and physics 20 years ago, it was good to catch up and refresh my brain on what has happened in our history.
Note this covers history of the universe, physics, chemistry, evolution, etc, all the sciences.
It doesn't cover human history other than evolution, which was kind of nice not to have it but if Bill does a book on human history, I would like to listen to that as well.
There is a lot of background material that goes over prediction for climate change, stock market and terrorism which is okay but the real mechanics of bayes is really only a small portion of the book.
There are other books that cover bayes in more in depth so that's fine but it felt like 75% of the book was talking about backgrounds that really what you can do step by step to do better.
Maybe if I didnt get the unabridged version, it might have been more concise to what I was looking for.
This book makes you think about what is the minimum viable product you need to get your product started.
We waste so much effort on so many features but what is the absolute minimum and how do you validate it against your assumptions.
Makes you think about all the things you did in the past, was it really necessary to build all that ... hmmm...
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