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If you perform a null-hypothesis test you need to justify why a null-effect is plausible. Random assignment to conditions is one justification. Without random assignment, the null is often not plausible. It is not surprising to reject null effects when comparing existing groups.
The problem is often referred to as 'crud' (for some explanation, see https://psyarxiv.com/96dpy ). It is not easy to overcome. Providing empirical support for your hypothesized causal model, and showing non-null effect in a predicted range, are two possible solutions.
