Decisive: How to make better choices in life and work
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Read between June 24 - July 2, 2019
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In interpreting the sentiments of Americans, FDR created statistical summaries and read a sample of real letters.
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Rather than choose “all” or “nothing,” they chose “a little something.”
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this concept—testing a profession before entering it—sounds obvious. Yet every year hordes of students enroll in graduate schools without ever having run an experiment like that:
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Jim Collins and Morten Hansen advocate a strategy they call “firing bullets then cannonballs,” that is, running small experiments and then doubling down on the ones that work best.
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Tetlock delivers the bad news: “Surveying these scores across regions, time periods, and outcome variables … it is impossible to find any domain in which humans clearly outperformed crude extrapolation algorithms.”
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what the data shows is that applied base rates are better than expert predictions, which are better than novice predictions.
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Whenever possible, we should get out of the business of prediction altogether.
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One survey found that 60% of Inc. 500 CEOs had not even written business plans before launching their companies.
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this preference for testing, rather than planning, was one of the most striking differences between entrepreneurs and corporate executives.
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most corporate executives favor prediction; their belief seems to be, “To the extent that we can predict the future, we can control it.” In contrast, though, entrepreneurs favor active testing: “To the extent that we can control the future, we do not need to predict it.”
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Research has found that interviews are less predictive84 of job performance than work samples, job-knowledge tests, and peer ratings of past job performance. Even a simple intelligence test is substantially more predictive than an interview.
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The interviews seemed to correlate with nothing other than, well, the ability to interview.
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With so little proof that interviews work, why do we rely on them so much? Because we all think we’re good at interviewing.
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Richard Nisbett calls this the “interview illusion”: our certainty that we’re learning more in an interview than we really are.
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TO OOCH IS TO ask, Why predict something we can test? Why guess when we can know?
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To use 10/10/10, we think about our decisions on three different time frames: How will we feel about it 10 minutes from now? How about 10 months from now? How about 10 years from now?
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As predicted by the mere-exposure principle, the subjects preferred the mirror-image photo, and their loved ones preferred the real-image photo. We like our mirror face better than our real face, because it’s more familiar!
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All of us, in our work, will naturally absorb a lot of institutional “truth,” and chances are that much of it is well proven and trustworthy, but some of it will only feel true because it is familiar.
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another bias called loss aversion91, which says that we find losses more painful than gains are pleasant.
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researchers have found again and again that people act as though losses are from two to four times more painful than gains are pleasurable.
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When you put these two forces together—the mere-exposure principle and loss aversion—what you get is a powerful bias for the way things work today.
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The researchers have found, in essence, that our advice to others tends to hinge on the single most important factor, while our own thinking flits among many variables.
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When we think of our friends, we see the forest. When we think of ourselves, we get stuck in the trees.
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in helping us to break a decision logjam, the single most effective question may be: What would I tell my best friend to do in this situation?
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she realized why she was stuck: It wasn’t just a job decision; it was a values decision.
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The buck stops with emotion.
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an agonizing decision is often a sign of a priorities conflict.
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Remember that MIT study showing that, over the course of a week, managers spent no time whatsoever on their core priorities?
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Bregman’s hourly beep: Am I doing what I most need to be doing right now?
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“bookending,” which involves estimating two different scenarios: a dire scenario (the lower bookend), where things go badly for a company, and a rosy scenario (the upper bookend), where the company gets a lot of breaks.
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A postmortem analysis begins after a death and asks, “What caused it?” A premortem, by contrast, imagines the future “death” of a project and asks, “What killed it?”
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Realistic job previews have been proven, by a large research literature, to reduce turnover.
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“vaccination” effect. By exposing people to a “small dose of organizational reality” before they start work, you vaccinate them against shock and disappointment.
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We should bookend the future, considering a range of outcomes from very bad to very good.
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bundle our decisions with “tripwires,” signals that would snap us awake at exactly the right moment, compelling us to reconsider a decision or to make a new one.
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That’s why the initial slowness of bargaining may be offset by a critical advantage: It speeds up implementation.
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When you can articulate someone’s point of view better than they can, it’s de facto proof that you are really listening.
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when researchers ask the elderly130 what they regret about their lives, they don’t often regret something they did; they regret things they didn’t do.
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J. Edward Russo and Paul J. H. Schoemaker (2002). Winning Decisions: Getting It Right the First Time.
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Aaron T. Beck (1989). Love Is Never Enough: How Couples Can Overcome Misunderstandings, Resolve Conflicts, and Solve Relationship Problems Through Cognitive Therapy.
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Susan Nolen-Hoeksema (2003), Women Who Think Too Much: How to Break Free of Overthinking and Reclaim Your Life (New York: Holt).
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