Really good advice. Randomization is tough for this kind of thing. The best you can probably do is to preset parameters that would be your ‘ideal’ sample and do your best to capture a sample faithful to that ideal. What you don’t want is to be presenting your final data and spending more time talking about how the confounds influenced your data than the question you were actually asking.