So yes I do think the majority of psych researchers are making stuff up (through p-hacking and other nefarious means) in order to get funding and tenure
1. https://replicationindex.com/2018/11/20/how-replicable-is-ps...
So yes I do think the majority of psych researchers are making stuff up (through p-hacking and other nefarious means) in order to get funding and tenure
1. https://replicationindex.com/2018/11/20/how-replicable-is-ps...
I don't know if arguments about "real" science are especially useful. The nature of science has changed a lot of over time and will presumably keep changing. It takes us into questions of whether fields that can't do experiments are "real" science, for example. It also assumes replicability is the only way science can't be "real" but there are some fields (e.g. COVID research!) where papers are usually replicable but that is meaningless because the methodology is unsound in other ways, i.e. you'd just be replicating their mistakes.
The biggest problems driving non-replicable research are the fact that so much "science" is now really just data analysis, and finding some spurious correlation that just about nudges over some arbitrary and very weak threshold for significance can be considered "science", even without anyone doing any kind of double check or followup. No real world experiment needs to be done at any point. And in some fields the connection to reality has been completely lost - public health is filled with papers that make predictions about the future trends in public data, and nobody ever follows up with papers that compute the correlation between the predictions and measured values. It would be easy, but they generally don't do it.
That doesn't seem particularly terrible in comparison to scientific reproducibility in other fields. What am I missing? https://en.wikipedia.org/wiki/Replication_crisis
Not to belabor this but to note the irony here: there is probably a similar psychological (ehem) phenomenon that happens to a psyc grad student who lets their presumptions bleed into their interpretation of a measurement.
> The first principle is that you must not fool yourself — and you are the easiest person to fool.
R. Feynman