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Thinking Fast and Slow by Daniel Kahneman
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Thinking Fast and Slow by Daniel Kahneman

How to make better decisions (without even trying!)

Discover the groundbreaking international bestseller Thinking, Fast and Slow by Daniel Kahneman, which has sold over 2 million copies worldwide and revolutionized decision-making. This masterpiece explores the two distinct modes of human thought:

  • Fast, intuitive thinking and

  • slow, deliberate reasoning.

These cognitive processes influence every choice we make, from everyday decisions to life-altering judgments.

Kahneman delves into the quirks of human perception, revealing why bold typefaces make us believe information more readily or why a judge’s hunger might sway their rulings. Through insightful research, he uncovers how bias and errors infiltrate our thinking, even when we believe we’re being logical.


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This book equips readers with practical tools to slow down impulsive decisions and embrace smarter, rational thinking. Whether at work, home, or in personal growth, Thinking, Fast and Slow offers actionable insights to improve decision-making and enhance cognitive awareness.

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8 Big Ideas from the book - shared as QnA

  1. What are the two systems of thinking described in Kahneman's book "Thinking, Fast and Slow"?

  • System 1 is fast, intuitive, and automatic. It relies on heuristics and biases to make quick judgments. Examples include detecting hostility in a voice or answering simple math problems.

  • System 2 is slow, deliberate, and analytical. It requires effortful mental work and is involved in complex reasoning and decision-making. Examples include focusing attention on a specific task, comparing products, or solving challenging puzzles.

2. What is the "availability heuristic" and how does it affect our judgments?

The availability heuristic is a mental shortcut where we judge the likelihood of an event based on how easily examples come to mind. Events that are vivid, memorable, or recent are more readily available in our memory and may be overestimated. This can lead to biased judgments about risks, frequencies, and probabilities.

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