As scientists, we need to have effective filters to quickly ignore things that are probably not relevant to us. But we also need to acknowledge that those filters are necessarily noisy, and they don't tell much of the value of the work they reject.

If you want to determine reliably whether something is irrelevant and incorrect noise, determining whether there is anything of value is a necessary first step.

I've seen many reproduction attempts in bioinformatics fail, because they person trying to reproduce the work didn't have the conceptual background to do it correctly. Instead of spending enough time studying the theory, they rushed directly to action.