Characteristics of System 1: • generates impressions, feelings, and inclinations; when endorsed by System 2 these become beliefs, attitudes, and intentions • operates automatically and quickly, with little or no effort, and no sense of voluntary control • can be programmed by System 2 to mobilize attention when a particular pattern is detected (search) • executes skilled responses and generates skilled intuitions, after adequate training • creates a coherent pattern of activated ideas in associative memory • links a sense of cognitive ease to illusions of truth, pleasant feelings, and reduced vigilance • distinguishes the surprising from the normal • infers and invents causes and intentions • neglects ambiguity and suppresses doubt • is biased to believe and confirm • exaggerates emotional consistency (halo effect) • focuses on existing evidence and ignores absent evidence (WYSIATI)• generates a limited set of basic assessments • represents sets by norms and prototypes, does not integrate• matches intensities across scales (e.g., size to loudness) • computes more than intended (mental shotgun) • sometimes substitutes an easier question for a difficult one (heuristics) • is more sensitive to changes than to states (prospect theory)* • overweights low probabilities* • shows diminishing sensitivity to quantity (psychophysics)* • responds more strongly to losses than to gains (loss aversion)* • frames decision problems narrowly, in isolation from one another*
If you care about being thought credible and intelligent, do not use complex language where simpler language will do. My Princeton colleague Danny Oppenheimer refuted a myth prevalent among undergraduates about the vocabulary that professors find most impressive. In an article titled "Consequences of Erudite Vernacular Utilized Irrespective of Necessity: Problems with Using Long Words Needlessly," he showed that couching familiar ideas in pretentious language is taken as a sign of poor intelligence and low credibility.
The law (of least effort) asserts that if there are several ways of achieving the same goal, people will eventually gravitate to the least demanding course of action. In the economy of action, effort is a cost, and the acquisition of skill is driven by the balance of benefits and costs. Laziness is built deep into our nature.
Mood evidently affects the operation of System 1: when we are uncomfortable and unhappy, we lose touch with our intuition. These findings add to the growing evidence that good mood, intuition, creativity, gullibility, and increased reliance on System 1 form a cluster. At the other pole, sadness, vigilance, suspicion, an analytic approach, and increased effort also go together. A happy mood loosens the control of System 2 over performance: when in a good mood, people become more intuitive and more creative but also less vigilant and more prone to logical errors.
The amount of evidence and its quality do not count for much, because poor evidence can make a very good story. For some of our most important beliefs we have no evidence at all, except that people we love and trust hold these beliefs. Considering how little we know, the confidence we have in our beliefs is preposterous - and it is also essential.
Dawes observed that the complex statistical algorithm adds little or no value. One can do just as well by selecting a set of scores that have some validity for predicting the outcome and adjusting the values to make them comparable (by using standard scores or ranks). A formula that combines these predictors with equal weights is likely to be just as accurate in predicting new cases as the multiple-regression formula that was optimal in the original sample. More recent research went further: formulas that assign equal weights to all the predictors are often superior, because they are not affected by accidents of sampling.