Ana

“It seems reasonable to say that people make good choices in contexts in which they have experience, god information, and prompt feedback - say, choosing among ice cream flavors. People know whether they like chocolate, vanilla, coffee, licorice, or something else. They do less well in contexts in which they are inexperienced and poorly informed, and in which feedback is slow or infrequent - say, in choosing between fruit and ice cream (where the long-term effects are slow and feedback is poor) or in choosing among medical treatments or investment options. If you are given fifty prescription drug plans, with multiple and varying features, you might benefit from a little help. So long as people are not choosing perfectly, some changes in the choice architecture could make their lives go better (as judged by their own preferences, not those of some bureaucrat).”
― Cass R. Sunstein

“It is useful to remember, however, that neglecting valid stereotypes inevitably results in suboptimal judgments. Resistance to stereotyping is a laudable moral position, but the simplistic idea that the resistance is costles is wrong. The costs are worth paying to achieve a better society, but denying that the costs exist, while satisfying to the soul and politically correct, is no scientifically defensible.”
― Daniel Kahneman, Thinking, Fast and Slow

“For instance, most everyone agrees that a just society promotes equality among its citizens, but blood is spilled over what sort of equality is morally preferable: equality of opportunity or equality of outcome”
― Paul Bloom, Just Babies: The Origins of Good and Evil

“On the corporate side, the upshot of our data (the benefit to us) isn't all that interesting unless you're an economist. In theory, your data means ads are better targeted, which means less marketing spend is wasted, which means lower prices. At the very least, the data they sell means you get to use genuinely useful services like Facebook and Google without paying money for them.”
― Christian Rudder, Dataclysm: Who We Are