Further, the confidence he extolled about his now debunked ideas make him a charlatan. This person was a bad scientist. If we esteem people who don't check their data and influence millions of people with falsities, we are going to create a society with low trust.
Just look at this thread, the man lost respect among the people in the know. There are a few people clinging onto 'well just because its not true, doesnt mean I didn't find it interesting". I'm not sure what we get out of promoting anti-science scientists.
I did see a lot of charlatans in this thread fail to appreciate the broader context of the replication crisis and failed to appreciate how unscathed Kahneman was by it because he was being careful when his peers were not and long before people started judging him with the wisdom of perfect hindsight. Of course if they wrote such a book they would only express their ideas with timidity and never make a mistake.
I read his book alongside a guide as to what in his book could be ignored. I knew every damning word people said about the man before I read a word he said and left impressed.
People even publish studies on un-replicated research! There might be a lot to be said about his research, but I disagree that publishing your research is the worst thing you can do. Maybe there wouldn't be any replication of his studies if it hadn't been for his books.
https://slate.com/technology/2016/12/kahneman-and-tversky-re...
https://replicationindex.com/category/thinking-fast-and-slow...
> "Table 1 shows the number of results that were available and the R-Index for chapters that mentioned empirical results. The chapters vary dramatically in terms of the number of studies that are presented (Table 1). The number of results ranges from 2 for chapters 14 and 16 to 55 for Chapter 5. For small sets of studies, the R-Index may not be very reliable, but it is all we have unless we do a careful analysis of each effect and replication studies.
> Chapter 4 is the priming chapter that we carefully analyzed (Schimmack, Heene, & Kesavan, 2017). Table 1 shows that Chapter 4 is the worst chapter with an R-Index of 19. An R-Index below 50 implies that there is a less than 50% chance that a result will replicate. Tversky and Kahneman (1971) themselves warned against studies that provide so little evidence for a hypothesis. A 50% probability of answering multiple choice questions correctly is also used to fail students. So, we decided to give chapters with an R-Index below 50 a failing grade. Other chapters with failing grades are Chapter 3, 6, 7, 11, 14, 16. Chapter 24 has the highest highest score (80, which is an A- in the Canadian grading scheme), but there are only 8 results.
What do you think?
It's a pretty sad state of affairs if the best that can be said about a person with his reputation, and about the process overall, that the system managed to catch his low quality output decades down the line.
