I was thinking more "What is the error rate in replication experiments when we know the results from the original experiment were correct?" So if mixing X and Y under certain conditions has to yield Z, how often when scientists actually try to do this do they get Z?
The error rate in replication experiments in the natural sciences is expected to be much much lower than in the social sciences. Humans and human environments are noisy and complicated. Look at nutrition/medicine - it's taking us decades to figure out whether some substance/food is good or bad for you and under what circumstances. Why would you expect it be easier to analyze human psychology and behavior?
Jason Mitchell is [edit: has been] the John L. Loeb Associate Professor of the Social Sciences at Harvard. He has won the National Academy of Science's Troland Award as well as the Association for Psychological Science's Janet Taylor Spence Award for Transformative Early Career Contribution.
Here, he argues against the principle of replicability of experiments in science. Apparently, it's disrespectful, and presumptively wrong.
This is why we can't have social science. Not because the subject is not amenable to the scientific method -- it obviously is. People are conducting controlled experiments and other people are attempting to replicate the results. So far, so good. Rather, the problem is that at least one celebrated authority in the field hates that, and would prefer much, much more deference to authority.