So, this is one of those areas I know way too much about and many of the comments seem wrong-headed. Makes me wonder how much faith I should put in comments on topics where I don't know as much.
So, this is one of those areas I know way too much about and many of the comments seem wrong-headed. Makes me wonder how much faith I should put in comments on topics where I don't know as much.
Despite murmurings to the contrary hn is no different from any other social media site that doesn't curate content. The fact that the denizens are techies or whatever doesn't supervene that fundamental fact. So the answer here is you should trust comments on hn just as much as you trust comments on Facebook.
As another funded academic in an area that comes up very frequently here (deep learning), personally I use hn as a link aggregator for interesting content and pay very little attention to the discussion.
As far as a strong genetic component, there are very few studies that actually establish that and they all have considerable issues. The extent that we know is that IQ is relatively strongly heritable, not genetic.
You will find that many funded research academics that study cognitive abilities disagree with your assessments.
There are currently a lot of unknowns as far as IQ. We have yet to accurately measure the cultural impact of IQ tests, in fact, we have yet to come up with a solid methodology for that, as all IQ tests are cultural artifacts.
We have yet to properly measure the fetal and epigenetic components of IQ, with differing impacts found that are still not totally accounted from.
We have yet to manage to completely square away at the Flynn effect, which is an incredibly large effect on IQ that may be fully cultural according to some psychologists, or based on non-cultural environment, as far as I'm aware or have been told this is still not fully explained.
At the same time, changes in relative IQ scores between groups are difficult to account for if IQ is as heritable as it seems to be,
There are a LOT of unknowns in IQ. It is far from "as well as understood as science can". We don't even know all that we don't know.
This isn't the Gell-Mann effect in action. This is someone trying to pass off a controversial opinion in a field (perhaps not amongst people whose job is to work on the tests for obvious reasons) as the established truth, and in doing so ignoring a body of research, which is far from unusual especially in these fields. At the very least the fact that I've heard one thing from multiple subject matter experts and something else from them shows that there is significantly more doubt and uncertainty as claimed in the original message.
Experiencing the Gell-Mann amnesia firsthand is always weird. In an expert in deep learning, a research topic that arguably is mich closer to HN's heart. Yet HN comments on the topic are usually a bit off the mark. They feel more like something people would say after taking a 101 undergrad class in the topic, rather than a truly informed discussion. A lot of my PhD work revolved around computational biology. And while I don't work in the area anymore, i know enough about it to see that in sich a topic that's further from HNs core, comments are often not just "a bit" uninformed,but utterly so