Not to mention that if your study is irreproducible, because you made a mistake in experiment design, or failed to control for some variable, running your experiments twice may not necessarily catch this issue.
Having someone else run the experiments is also required to get past something we have to deal with a lot in the tech world. The "it works on my machine" result.
You may have run the experiment twice, but can anyone else? Does your setup depend on something not specified in your paper? In the tech world, how many times has the setup documentation you wrote turned out to be missing some detail when a new starter actually tries it?
No setup will ever be perfect, but we can look at reducing common points of error.
