And that could be for a number of reasons. Of course, sometimes the results are just wrong, due to statistical flukes, or too creative data cleaning and analysis. Often the results might just be much more limited than what the original study claims: Maybe the results of a psychological study is valid for MIT students in the beginning of the semester, before lunch, but not for Yale students in the early afternoon. In this case the only mistake would have been to assume the results were universal.