But two, and more importantly, no one is checking.
Tree falls in the forest, no one hears, yadi-yada.
You'll notice you can click on author names and you'll get links to their various scholar pages but notably DBLP, which makes it easy to see how frequently authors publish with other specific authors.
Some of those authors have very high citation counts... in the thousands, with 3 having over 5k each (one with over 18k).
I think this is the big part of it. There is no incentive to do it even when the study can be reproduced.
The final bit is a thing I think most people miss when they think about replication. A lot of papers don't get replicated directly but their measurements do when other researchers try to use that data to perform their own experiments, at least in the more physical sciences this gets tougher the more human centric the research is. You can't fake or be wrong for long when you're writing papers about the properties of compounds and molecules. Someone is going to come try to base some new idea off your data and find out you're wrong when their experiment doesn't work. (or spend months trying to figure out what's wrong and finally double check the original data).
(People are better about this in psychology, now: schoolchildren are taught about some of the more egregious cases, even before university, and individual researchers are much more willing to take a sceptical view of certain suspect classes of "prevailing understanding". The fact that even I, a non-psychologist, know about this, is good news. But what of the fields whose practitioners don't know they have this problem?)
