Some muddled thinking up in this thread. Testing is good for code implementation but the risk for code such as this mostly lies in untestable aspects like the a

Some muddled thinking up in this thread. Testing is good for code implementation but the risk for code such as this mostly lies in untestable aspects like the assumptions built into certain types of statistical routines and measurement/definition problems. The only answer for these issues is independent replication. Software thinking emphasizes reusing code, but science should want the opposite. Replication really matters, even if we don’t want to accept that inconvenient fact. Great work with perfect code will fail to replicate and not because there were problems with the initial work, it’s statistically certain.