Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

From the conclusion of the article -

>> In conclusion, Daniel Kahneman is a distinguished psychologist who has made valuable contributions to the study of human decision making. His work with Amos Tversky was recognized with a Nobel Memorial Prize in Economics (APA). It is surely interesting to read what he has to say about psychological topics that range from cognition to well-being. However, his thoughts are based on a scientific literature with shaky foundations. Like everybody else in 2011, Kahneman trusted individual studies to be robust and replicable because they presented a statistically significant result. In hindsight it is clear that this is not the case. Narrative literature reviews of individual studies reflect scientists’ intuitions (Fast Thinking, System 1) as much or more than empirical findings. Readers of “Thinking: Fast and Slow” should read the book as a subjective account by an eminent psychologists, rather than an objective summary of scientific evidence. Moreover, ten years have passed and if Kahneman wrote a second edition, it would be very different from the first one. Chapters 3 and 4 would probably just be scrubbed from the book. But that is science. It does make progress, even if progress is often painfully slow in the softer sciences.



Thanks for the copy/paste, it summarises exactly what I was hoping to get from the article.

> Readers of “Thinking: Fast and Slow” should read the book as a subjective account by an eminent psychologists, rather than an objective summary of scientific evidence.

Like with most pop science, they may give you useful models that can help you analyse and reflect on your personal experience, but shouldn't be seen as ground truth. Unless you read the science (and the science is good!) you're probably not enough of an expert to differentiate distilled truth from diluted truth.


> Narrative literature reviews of individual studies reflect scientists’ intuitions (Fast Thinking, System 1) as much or more than empirical findings.

This seems to be the crux of the issue. Could someone explain it better? Does Daniel K promote Type 2 more than he should?




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: