Read Blinkist’s Key Insights to Thinking, Fast and Slow. With Blinkist’s Key Insights you’ll get a swift, deep understanding of the book's biggest ideas. Let Blinkist be your starting point for deeper reading or an easy way to learn something new.
About the book: Daniel Kahneman’s Thinking, Fast and Slow – a recapitulation of the decades of research that led to his winning the Nobel Prize – explains his contributions to our current understanding of psychology and behavioral economics. Over the years, Kahneman and his colleagues, whose work the book discusses at length, have significantly contributed to a new understanding of the human mind. We now have a better understanding of how decisions are made, why certain judgment errors are so common and how we can improve ourselves.
Who should read this? - Anyone interested in how our minds work, how we solve problems, how we make judgments and what weaknesses our minds are predisposed to - Anyone interested in Nobel Prize winner Daniel Kahneman’s contributions to psychology and behavioral economics, and how those contributions apply to society at large
About Blinkist’s Key Insights: Blinkist presents powerful, actionable insights from nonfiction in a clear and memorable way. Our format, "blinks," is crafted with mobile in mind, so you can get the most out of your time in line, on the train, or on the go.
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I actually had a better opinion of the Kahneman approach before reading the blinks based on what I've seen about it elsewhere, so I was quite excited to try the distillate of the original. For me, there's definite value in conceptualising the 2 systems, and some advice (like repeating a message or treating new information and inputs critically) is solid for multiple reasons. However, the rest of the conclusions and most of the examples just don't sit well with me. My main disagreement is based on the fact that for me, it's my System 1 that tells me that the ball costs $0.05 because I've done enough maths as a kid for this sort of stuff to be completely automated. My my conclusion wouldn't be to try and engage your System 2 under all circumstances but rather to train your System 1 well and with the right inputs, so it can help you properly. And if you want a different take on the taxi color problem, if you're shown 5 taxis, what are the chances that all of them are red? Are they the same as the chances of the 5th taxi being red after a row of 4 red taxis just passed you by? Bonus question: in what cities in the world do official taxis come in two colours?... (I'll let you get familiar with the setup for both of these questions by yourself. They are easy enough to find if you're curious.)