Psychology “incompatible with hypothesis-driven theoretical science”
madinamerica.com
madinamerica.com
When ingesting news, even if you're willing to accept outlying or extreme points of view into your mind, you should at least be aware of the agenda of the news source.
I don’t the counter to cited studies showing problems is criticizing the web site presenting them, but making substantial claims to refute. Or ideas for improving.
Some of the ideas called out- preregistration, open data, more systematic reviews- are good and should be embraced by psychologists who want to have a reputable science. Not an exact science.
The claim would be they’re irreproducible for other reasons than psychology studies are, but how could we possibly know?
I belive that the academic psychologists are desperate to be considered scientists and not voodoo practitioners. That's why their research is so loose.
It's not like I can't understand it, but it never attracted me enough to put in the work. (And I am quite put off by questions which require statistics to settle, which, yeah, I know, it's most of science.)
Well yes, they kinda have to, because if you aren't a scientist other people (like mathematicians) will look down at you. And if you cant show fancy formulas and statistics to show you proved things you are running into trouble getting funding, because you arent considered a science and thus not worth any money. Just look at the humanities, who are having an even harder time getting funding.
Many people who do research in humanities are keen on spreading their left-wing political agenda. Couldn't this also be a huge part of the story why many people don't take humanities seriously?
Repeatability is essential. Without it, you are just guessing and making shit up. That may well be the nature of psychology in some (or even most) cases. Then it's simply not a science at all or ever. Accept that and move on.
Something else he found was that the tenure track policies for most universities encourage poor study design by rewarding the quantity of research published rather than the quality of the research. That resulted in research departments doing 10 studies with 10 participants rather than 1 study with 100 participants, given a certain amount of funding available.
Rule-based, understandable, AI has mostly been replaced by deep learning, which is more difficult to understand.
It has useful properties, but we don't know why, they're emergent.