Earlier quoted context omitted.
> Wow, that's one of the most dismissive remarks I've seen here in quite a while. It also does not seem like you could possibly believe it yourself. It's a natural thing. If you come up with an implausible sounding thing supported by a very complicated argument then most likely you made a mistake. It is very easy to make mistakes and very hard to find them. If you have a 1000 page proof that 2*2 is 5 I won't spend my…
When there's a real possibility of meaningful and useful insights, we might consider taking it seriously. For me, this can be linked in part to the person's experience and credibility. Caplan isn't some interloper with no knowledge of any of the material he touches on ranting on Twitter. The man has a career as an economics researcher specializing in public-sector work and actually teaches economics at a reasonably p…
As you said, it's also worth noting that the community of "distinguished economists" is itself a fairly insular and politically driven field with a lot of ideological assumptions. That's not to say it's all hogwash, but for as much as Economists love to tell you otherwise it's still a soft-science very vulnerable to convenient abuse of statistics.
For what it's worth, I skimmed over the presentation he linked in the article. One of the first claims he makes is:
"Education and ability (IQ, work ethic, etc.) are correlated, so raw numbers give education too much credit."
He then goes on to correct for a "45% ability bias" to income statistics. Without even getting into the problems of correlation vs causation there, it's a perfect example of the foundational assumptions that got his work rejected to begin with.