
Little Bets: How breakthrough ideas emerge from small discoveries

lucky people tended to be curious and open to what can come along from chance interactions.
Peter Sims • Little Bets: How breakthrough ideas emerge from small discoveries
Immerse: Take time to get out into the world to gather fresh ideas and insights, in order to understand deeper human motivations and desires, and absorb how things work from the ground up.
Peter Sims • Little Bets: How breakthrough ideas emerge from small discoveries
Wiseman found that lucky people tend to be open to opportunities (or insights) that come along spontaneously, whereas unlucky people tend to be creatures of routine, fixated on certain specific outcomes.
Peter Sims • Little Bets: How breakthrough ideas emerge from small discoveries
Why are some people voracious questioners and others are not?
Peter Sims • Little Bets: How breakthrough ideas emerge from small discoveries
“illusion of rationality.”
Peter Sims • Little Bets: How breakthrough ideas emerge from small discoveries
Wiseman believed another type of behavior played an even greater role in success. Wiseman found that lucky people build and maintain what he called a strong network of luck. He wrote: Lucky people are effective at building secure, and long-lasting, attachments with the people they meet. They are easy to know and most people like them. They tend to
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approach problems in a nonlinear manner using little bets,
Peter Sims • Little Bets: How breakthrough ideas emerge from small discoveries
Interestingly, with each success they’ve had, they have challenged themselves even more, and in keeping with that, they have used more storyboards: 27,565 on A Bug’s Life, 43,536 for Finding Nemo, 69,562 for Ratatouille, and 98,173 for WALL-E. That’s a striking expression of healthy perfectionism. The primary venue for monitoring progress with thes
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Google founders Larry Page and Sergey Brin didn’t set out to create one of the fastest-growing startup companies in history; they didn’t even start out seeking to revolutionize the way we search for information on the web. Their first goal, as collaborators on the Stanford Digital Library Project, was to solve a much smaller problem: how to priorit
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