Doesn’t matter if it’s the same experiment or not.
Say I’m after p<0.05. That means that if I try 40 different purported optimizations that are all actually neutral duds, one of them will seem like a speedup and one of them will seem like a slowdown, on average.
That's not p hacking. That's just the nature of p values. P hacking is when you do things to make a particular experiment more likely to show as a success.
Say I’m after p<0.05. That means that if I try 40 different purported optimizations that are all actually neutral duds, one of them will seem like a speedup and one of them will seem like a slowdown, on average.