Scientific wasteland: recent problems with psychiatry
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Re: Scientific wasteland: recent problems with psychiatry
#2Re: Scientific wasteland: recent problems with psychiatry
#3Re: Scientific wasteland: recent problems with psychiatry
#4Freud dealt with the realm of ideas. As much as he got wrong, his approach of dealing with the ideas in one's mind on their own terms, and finding and sussing out the bad ideas to be replaced with good ideas did , eventually, yield beneficial results -- like the big wins of cognitive behavioral therapy.
It was a big departure from the way the mind was conceived till then.
Re: Scientific wasteland: recent problems with psychiatry
#5I don't know if this is true for a good chunk of mental illnesses, tbh. How does one use a purely biological model and treatment for PTSD, BPD, ASPD, etc?
Re: Scientific wasteland: recent problems with psychiatry
#6Re: Scientific wasteland: recent problems with psychiatry
#7"Advances in genetics, neuroscience and psychopharmacology all at once reminded psychiatrists that biology ruled, that talk could be dispensed with, and a truly medical psychiatry could finally emerge" I don't know if this is true for a good chunk of mental illnesses, tbh. How does one use a purely biological model and treatment for PTSD, BPD, ASPD, etc?
Re: Scientific wasteland: recent problems with psychiatry
#8"Advances in genetics, neuroscience and psychopharmacology all at once reminded psychiatrists that biology ruled, that talk could be dispensed with, and a truly medical psychiatry could finally emerge" I don't know if this is true for a good chunk of mental illnesses, tbh. How does one use a purely biological model and treatment for PTSD, BPD, ASPD, etc?
Re: Scientific wasteland: recent problems with psychiatry
#9The analogous thinking is that software bugs, in particular data storage errors[1], are best understood as hardware malfunctions, and that precise interventions at the hardware level can solve them. It's not exactly wrong--for any given software issue, you might be able to devise hardware changes that correct it. But. I feel like I don't need to continue to make my point.
[1] In reality the lines blur between software and data, so the analogy might be better more solid between trained ML models and hardware, where trained ML models are both software and data in a way that can't be meaningfully distinguished. So we're talking about correcting a trained ML model via a precise hardware edit.
It's not wrong per se, not even insane in some cases. But the dismissive tone in the abstract of taking the trained model of the human mind on its own terms, versus as a purely biological object boggles my mind with how wrong-headed it is.
Re: Scientific wasteland: recent problems with psychiatry
#10There are other reviews like https://www.theatlantic.com/magazine/archive/2019/04/mind-fi... (discussed previously at https://news.ycombinator.com/item?id=19435815)