Cheshire
Senior Member (Voting Rights)
Vincent DearyDidn't Deary write something on ME?
Vincent DearyDidn't Deary write something on ME?
Might well have been him I was thinking of.Vincent Deary
the importance of inherited genetic factors will be overestimated, while all the other factors will be downplayed.
I don't understand the hostility to this sort of research. Why is it wrong to ask this question? Why would we not want information about how society works so as to inform intelligent policymaking? What would be the benefit of banning or suppressing investigations of available data?
Finally, we predict 2.5% of income differences using genetic data alone in an independent sample.
Didn't Deary write something on ME?
At least that makes it easy to know to dismiss anything he says. Words and their meaning, do they matter? Clearly not to everyone.Interest in the symptom of tiredness
I completely agree; however, a number of replies seem to take a different view and dismiss the inquiry out of hand.It's not wrong to ask the question, just as it's not wrong to ask if CBT and GET treat ME, but the attempt to answer it has to be done properly.
I don't think that's right as genes are essentially causal in a way other sorts of factors aren't.Studies like this are only ever suggestive. Even with these sorts of p values, there is still a lack of specificity and sensitivity, hence some well characterised mechanism needs to be found before we claim there is a cause/effect relationship.
I agree and I think it urgently needs to be dispelled. And not just for the sake of ill or otherwise unusually unlucky people. I worry that the structure of the economy is shifting such that even perfectly capable people with 'average' circumstances will not be favored to achieve a reasonable standard of living in the coming decades.I think the political correctness that shuts out any talk of genes is the same mindset that says that PWME need to get off their butt...
I agree that talk of genes should not be shut out by political correctness. But it should be taken with a very cautious pinch of salt when being applied to a concept like "intelligence", which we are fairly rubbish at defining and measuring (fill in this questionnaire, we'll turn it into a number and call it science - it's only one step away from personality traits) or "income", for which there are so many other factors to control for, many of which we haven't got much of a grasp on either, that it makes any correlation fairly meaningless.I think the political correctness that shuts out any talk of genes is the same mindset that says that PWME need to get off their butt...
https://undark.org/2019/12/20/abstracts-genetics-income-science-backlash/In a study published Monday in the journal Nature Communications, a team of researchers in the U.K. crunched genetic data from more than 286,000 Britons in order to address an ancient and loaded question: Why are some people wealthy and some people poor? Their paper, their methods, and their answer — that genetic variation may contribute, in consistent and measurable ways, to variation in income — set off an immediate backlash from many of their fellow researchers.
But not all lines of enquiry are equally worthy of study. Some are rubbish. Some are even harmful because their results can be misused. Do any of us here want to see another PACE trial? Of course not, and that's not because we want to "suppress" research into CBT and GET, but because we think there's no justification for asking that question yet again, and the problems inherent in answering it mean that the results may be misleading and harmful.I don't understand the hostility to this sort of research. Why is it wrong to ask this question? Why would we not want information about how society works so as to inform intelligent policymaking? What would be the benefit of banning or suppressing investigations of available data?
The problem with this GWAS study is very similar: it is that with GWAS, its almost impossible to get a "no" answer to your question.
Finally, we predict 2.5% of income differences using genetic data alone in an independent sample.
And don't get me started on "Intelligence", a theoretically vacuous construct that we should have left behind several decades ago - once we had enough understanding of cognitive function to generate something with a bit more theoretical coherence. How could any psychology researcher believe "intelligence" is a worthy target of research in this day and age? And it is an even bigger crime to ignore the problem of reverse causation: measures of intelligence are associated with socioeconomic status, but that doesn't mean the first causes the second. Its very likely that a child raised in a high SES environment is better equipped to do well on IQ tests than a child from a low SES background.
I could be wrong here, but my understanding of the GWAS approach is that it all comes down to how much you correct for false positives, and even stringent methods generally let some false positive results through. So the studies I've seen have all "found something", but given the sheer number of comparisons I'm not at all surprised by that. There have been some attempts at replication in GWAS studies in psychiatry, and they've been disappointing - so even the associations that appear to be strongest in one cohort are not necessarily the ones that appear strongest in a different cohort. That makes me a bit suspicious, and worried that this kind of broad hypothesis-free data mining might be particularly vulnerable to false positives. Especially when measure of interest is ill-defined. But I admit that I'm not an expert on the methodology.It's very easy to get a no answer, but most researchers prefer to stack the cards in their favor by weakening the methodology and statistical thresholds. The problem isn't so much the study, as the inappropriate conclusions.
I don't agree here. I think intelligence as a construct has held us back a lot in understanding the how people vary in their capacities for learning and reasoning. The problem is that, instead of examining and refining our theoretical models of those capacities, we've kind of taken the idea of intelligence as a given, and focussed all our efforts on measurement. The result is endless refinement in testing and scales that all piggy back on the preceding scales. The latest standardised measures of intelligence do pay lip service to some more recent cognitive science ideas, like working memory and verbal versus nonverbal capacities (and they do try not to measure too much semantic memory - aka crystallised knowledge - which is good). But they still fundamentally make the same assumptions.You can't have it both ways, study of intelligence (if done properly) will increase our understanding of cognitive function. Secondly, while it is true that global SES has a substantial influence on IQ test scores for a majority of the population (within 1-1.5 SD of the mean), and can certainly alter the rate of cognitive development of children (eg lack of nutrition, educational opportunities etc), high intelligence (admittedly, the measures of this are flawed) as defined as greater than 2 SD from the mean has a much greater proportion of the variance explained by genetics, rather than environment.
I don't agree here. I think intelligence as a construct has held us back a lot in understanding the how people vary in their capacities for learning and reasoning. The problem is that, instead of examining and refining our theoretical models of those capacities, we've kind of taken the idea of intelligence as a given, and focussed all our efforts on measurement. The result is endless refinement in testing and scales that all piggy back on the preceding scales. The latest standardised measures of intelligence do pay lip service to some more recent cognitive science ideas, like working memory and verbal versus nonverbal capacities (and they do try not to measure too much semantic memory - aka crystallised knowledge - which is good). But they still fundamentally make the same assumptions.
Why do you think that?Thinking on this, I was reflecting on the myriad historical factors that determine socioeconomic status in white UK residents. Groups of multiple ethic origins - norman, saxons, celtic - have blended together for centuries, but I would be prepared to bet that even now, those groups are not equally represented in the rich vs the poor.
So you might observe genetic variation with income that is related to those sorts of non-random factors too.