Too into the weeds..? Do you not read the papers that you post? Having a lot of publications on a topic isn't going to intimidate someone in the actual field, especially when those papers are all extrapolations that can't account for the number of variables that would have to be included.BusterAg said:Getting into the weeds here of this one guys research, and I don't really want to. I don't think that these are examples of a professor chasing eugenics, and that was my only point.WaltonAg18 said:Just beginning to look through some of those papers listed above, but the third ones uses a "proxy-phenotype" method to try to extrapolate from 69 "education-associated" SNPs, single nucleotide polymorphisms.BusterAg said:How do you know?WaltonAg18 said:
Behavior is based on environmental factors. This is the modern day equivalent of looking for "obedience bumps" on skulls.
Are you saying that genetics have zero impact on behaviors? You are basically saying that the way that every human brain develops has no dependency on genetics?
I disagree, but the data are sparse.
Immediately, do you see any issues trying to correlate "cognitive performance" and those SNPs? I want to know where your brain is with respect to this kind of study.
I think that a study that uses all of the available scientific tools in 2022 would be vastly more informative than previous studies. Using genome sequencing, internet profiles, big data, and AI, I absolutely think you could find associations that would be positive to society, in health, education, policy considerations, and likely other fields.
I can't find any studies like that, unfortunately. Too many roadblocks.
The proxy-phenotype method is a typical example of researchers doing the best that they can with the tools they have.
For that paper specifically, he's looking for polymorphisms present in people at various education levels. Immediately we're biased towards whichever institutions the authors decide to look at - are they present because of 0.00175% of their SNPs led them there? Of course not, millions of other small choices add up to that. But they've selected those SNPs for the further parts of the study, so the potential bias doesn't matter.
That's what I'm trying to get you to see - there isn't a big shadowy organization preventing the data, it just isn't good data.
