Tout sur Thinking Fast and Slow behavioral economics



This shit never works. Putting aside the fact that I’m subject to the same cognitive limitations, quotations often arrive nous the scene like a flaccid member, with intimations of a proper effet hidden somewhere in that bloodless noodle, if only the other party would play with it. Fin, much like idioms, there’s just not enough chemistry to warrant heavy petting.

I recommend Thinking, Fast and Slow to anyone who wants to learn about how we think, pépite about psychology in general. I liked how Kahneman progressed from primitif ideas like heuristics to more complex notion, like Contact theory.

Normality erreur: Things that recur with greater frequency are considered courant, no matter how horrendous they are. Two people killed in a terrorist attack in a western country are more likely to Si mourned then a hundreds of children killed in Gaza by a missile strike.

’ If you’re shocked parce que you’ve seen the devotion they scène each other, you’ve been sucked into the inside view.” Something like 40 percent of marriages end in décollement, and that statistic is quiche more predictive of the obtus of any particular marriage than a mutually adoring gaze. Not that you want to share that insight at the reception.

Our predilection conscience causal thinking exposes traditions to serious mistakes in evaluating the randomness of truly random events.

The cible of loss dégoût and overconfidence nous-mêmes corporate strategies, the difficulties of predicting what will make traditions happy in the prochaine, the conflit of properly framing risks at work and at brasier, the profound effect of cognitive biases je everything from playing the stock market to planification the next vacation—each of these can Supposé que understood only by knowing how the two systems work together to shape our judgments and decisions.

All I could think about when I read this book is my own experience of participating in a friend's psychology study panthère des neiges. He designed an experiment and asked me to ut some things and answer some énigme, plaisant at some cote it became extremely clear to me what the experiment was about, or how he hoped I would behave.

I kind of want to cut this book in half, praise the first portion, and stick the suivant bout in some corner to gather dust.

Connaissance his bout, Nisbett insisted that the results were meaningful. “If you’re doing better in a testing context,” he told me, “you’ll jolly well Si doing better in the real world.”

” (86). Absolutely essentially conscience not getting eaten by lurking monsters, and “explains why we can think fast, and how we are able to make sensation of partial information in a complex world. Much of the time, the coherent story we put together is Fermée enough to reality to poteau reasonable action.” Except when it doesn’t. Like in our comparative risk assessments. We panic embout shark attacks and fail to fear riptides; freak démodé about novel and unusual risks and opportunities and undervalue the pervasive ones.

Exposure Effect: We are more likely to choose the thing we are more familiar with. The principle that “Familiarity breeds liking” suggests that we are more inclined towards anything that is familiar and eh been exposed to us before in past.

A number of studies have concluded that algorithms are better than expert judgement, pépite at least as good.

When Nisbett has to give an example of his approach, he usually brings up the baseball-phenom survey. This involved telephoning University of Michigan students nous-mêmes the pretense of conducting a poll embout Amusement, and asking them why there are always several Liminaire League batters with .450 batting averages early slow and fast thinking book in a season, yet no player eh ever finished a season with année average that high. When he talks with students who haven’t taken Entrée to Statistics, roughly half give erroneous reasons such as “the pitchers get used to the batters,” “the batters get tired as the season wears nous-mêmes,” and so je.

Both systems have values built into them and any system of decision-making that edits them out is doomed to undercut itself. Some specifics that struck me:

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