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worth literally trillions, which he claimed he could put toward EA-related causes. Who knows what the limits were; he’d even told Ellison there was a 5 percent chance he could become president of the United States. His utility function was “closer to linear,” he explained; the trillionth dollar really was almost as good as the first. Technically sp
... See moreNate Silver • On the Edge: The Art of Risking Everything
This would have been a good bargain, and not just in hindsight; a Manifold market at the time presciently assigned SBF a 71 percent chance
Nate Silver • On the Edge: The Art of Risking Everything
Keep in mind that segmentation on probabilistic, statistical, or even simple profile data is a very rough way of putting people in buckets and will not take into account any individual variations from the norm (which there certainly will be). So don’t get too confident in your creative messaging when you address people from just one segment. Even i
... See moreArild Horsberg • Hello $FirstName - Norwegian Case Studies: Profiting from Personalization in Norway
The error stems from the use of the representativeness heuristic: Linda’s description seems to match “bank teller and active in the feminist movement” far better than “bank teller.”
Cass R. Sunstein • Nudge: The Final Edition
The second asks how much cash you would demand to increase the risk of dying by the same amount.
Richard H. Thaler • Misbehaving: The Making of Behavioral Economics
Hans Rosling • Factfulness: Ten Reasons We're Wrong About the World--and Why Things Are Better Than You Think
Morgan Housel • 100 Little Ideas
Studying a specific person can be dangerous because we tend to study extreme examples—the billionaires, the CEOs, or the massive failures that dominate the news—and extreme examples are often the least applicable to other situations, given their complexity. The more extreme the outcome, the less likely you can apply its lessons to your own life, be
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