♣ Obama's goodbye letter
♣ RESISTANCE POSTERS OF AMAZING (including some made by the artist of Obama's "Hope" poster)
I'll be marathon-dancing off my Trumperdink feels this weekend. This era is ending; all that's left is to center and sustain.
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Just a brief post to say Happy New Year and apologise for the radio silence here! I’ve been travelling, as you’ll have seen if you follow me on Instagram or Facebook, and I’ve also been working on my book.
This is a follow-up to Sorcerer to the Crown and it’s not going to be out before 2018, notwithstanding reports elsewhere (including by me /o\) that it was due out this year. Sorry! The delay is entirely my fault, but I am working steadily on it and it will get done. I’ll post about the details when I can.
Till then, there’s not likely to be too much activity on this blog, though I do plan to start posting more about writing and publishing and all that sort of thing once I’ve got the MS in a state I’m reasonably satisfied with. Consider it a fallow period — I gotta build up my nitrates!
Mirrored from Zen Cho.
We have argued that there is compelling evidence that heritability studies are methodologically flawed, especially for complex social behaviors such as crime. We have argued also that heritability studies are based on an oversimplified and incorrect model of gene function and that the goal of partitioning genetic versus environmental influences on variance in phenotypes is biologically unsound. We therefore recommend an end to heritability studies in criminology. Moreover, given the many flaws in heritability studies, we also call for an end to the use of the oft-repeated version of the phrase: “We know from a wealth of behavioral genetic studies that the heritability of [insert crime or related phenotype] is roughly 50 percent.” Based on the arguments and research discussed in this article, it is apparent that we unequivocally do not know this to be the case. Furthermore, no amount of quantitative genetic research can establish the validity of such heritability estimates or their putative support for the irrelevance of shared environmental factors. Technically flawed and conceptually unsound models—no matter how often published or repeated—do not by virtue of their numbers make for sound evidence.