cSoze
Joined 12 years ago
Joined 12 years ago
His argument and his positions are horribly simplistic. Neither capitalist nor socialist structures can meet all of the needs of a society.
How about we accept the consensus of the scientists? Rather than calling it dogma because it doesn't agree with YOUR world view.
Someone with his credentials should not expect to be spoon fed justifications for company hiring practices. If he had opened discussion on the validity of specific findings and which experiments contain the most valuable information for predicting benefits of policy changes, I don't think there would have been this outcry.
But if he wants to discuss the science he first needs to make it clear that he's read it.
When conditions are set that reduce or control for these social factors (including implicit bias) the differences in performance that James Demore attributes to "biological" factors disappear.
How is this not related to the bulk of his claims?
http://www.epi.org/publication/womens-work-and-the-gender-pa...
(1) would absolutely not be continued, obviously.
(2) would be continued to completion.
In science one is maximally conservative with positive results. Negative results can be accepted rather quickly but positive results need to be maximally investigated. False positives are unacceptable, false negatives are often less damaging.
I'd question how scenario #1 made it through animal trials preceding experiments in humans.
"If you've believed the Or model of introversion and extroversion your whole life and resist the And model, try this challenge: try believing the And model for a week or a month."
I believed in the And model until I was ~23, it made me exhausted from all the pressure to be more extraverted. I've believed a soft Or model for 5 years now and I'm a hell of a lot happier having accepted my introverted lean.
Further, I suspect that number of kids or even just a binary having kids or not would have a direct effect on BMI in old age. More kids > less time to excercise > compounded over many years. There's also a known correlation between educational attainment and number of children in the literature which is generally hypothesized to be causal.
I have concerns about the validity exactly because of the expected tiny effects. Polygenic traits with extremely high heritability (height being the prime example) top out at 10% of variance explained even when considering all alleles. That just highlights the need for better phenotypes and multi generational typing. I think it's Botstein who I've heard advocates for more time points over more replication when given the choice.
https://arstechnica.com/information-technology/2021/03/gab-t...