Israeli-American psychologist and economist (1934–2024)
Daniel Kahneman (March 5, 1934 – March 27, 2024) was an Israeli-American psychologist. He shared the 2002 Nobel Memorial Prize in Economic Sciences with Vernon L. Smith. Kahneman is notable for his work on the psychology of judgment and decision-making, behavioral economics and hedonic psychology. Latterly, he was professor emeritus of psychology and public affairs at Princeton University's Woodrow Wilson School.
From: Wikiquote (CC BY-SA 4.0)
From Wikidata (CC0)
"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."
Most of us view the world as more benign than it really is, our own attributes as more favorable than they truly are, and the goals we adopt as more achievable than they are likely to be. We also tend to exaggerate our ability to forecast the future, which fosters overconfidence. In terms of its consequences for decisions, the optimistic bias may well be the most significant cognitive bias. Because optimistic bias is both a blessing and a risk, you should be both happy and wary if you are temperamentally optimistic.
However, optimism is highly valued, socially and in the market; people and firms reward the providers of dangerously misleading information more than they reward truth tellers. One of the lessons of the financial crisis that led to the Great Recession is that there are periods in which competition, among experts and among organizations, creates powerful forces that favor a collective blindness to risk and uncertainty.
It took Francis Galton several years to figure out that and regression are not two concepts – they are different perspectives on the same concept. The general rule is straightforward but has surprising consequences: whenever the correlation between two scores is imperfect, there will be regression to the mean.