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When a person is not doing his job, there can only be two reasons for it. The person either can’t do it or won’t do it; he is either not capable or not motivated. To determine which, we can employ a simple mental test: if the person’s life depended on doing the work, could he do it? If the answer is yes, that person is not motivated; if the answer is no, he is not capable. If my life depended on playing the violin on command, I could not do it. But if I had to run a mile in six minutes, I probably could. Not that I would want to, but if my life depended on it, I probably could.

High Output Management

Andrew S. Grove

nothing in human culture stands still. Those who are younger than you no longer have the same level of respect for certain values or institutions that you have. Power dynamics—among classes, regions, industries—are in a state of flux. People are beginning to socialize and interact in new ways. New symbols and myths are being formed, and old ones are fading. All of these things can seem rather disconnected until there is some crisis or clash and people must confront what was once seemingly invisible or separate, in the form of some sort of revolution or cry for change.

The Laws of Human Nature

Robert Greene

When people are introduced to clinical and mechanical prediction, they want to know how the two compare. How good is human judgment, relative to a formula? The question had been asked before, but it attracted much attention only in 1954, when Paul Meehl, a professor of psychology at the University of Minnesota, published a book titled Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence. Meehl reviewed twenty studies in which a clinical judgment was pitted against a mechanical prediction for such outcomes as academic success and psychiatric prognosis. He reached the strong conclusion that simple mechanical rules were generally superior to human judgment. Meehl discovered that clinicians and other professionals are distressingly weak in what they often see as their unique strength: the ability to integrate information.

Noise

Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein

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