Consider how causality is usually established!
a) Experimental version – Hypothesis is that A causes B, falsifiable = when A sometimes no B. In experimental environment, introduce A, test for B, with control environment in which no A exists and is not introduced, test for B. Results of B existing whenever A is introduced, but not (necessarily) in cases where A was not introduced = causality effectively established.
b) Inferential version – Same hypothesis and falsifiable counter, but actually introducing variable A is problematic (e.g., hypothesis that sexual abuse in childhood causes self-mutilating behaviors in youth & adulthood) so instead, in data set with variables A and B, divide data set into cases with A and cases without A, control for effects on B by other measured factors, study impact of A on value of B. To control for ordinality of factors, set B to null if A exists but does not precede B. Result of rate of B where A is present approaches 100% = causality effectively established.
Now, if effects can precede causes, all this goes out the window! A lead plate is inserted or removed from between an xray source and photographic film stored in opaque plastic. Our conclusion that xrays pass through opaque plastic and fog the film but are blocked by the lead plate depend heavily on the logic that causes precede effects. How would you rule out the possibility that film being fogged causes xrays to have streamed from the xray source, and simultaneously stimulates the experimenter to have already lifted the lead plate out of the way?
What is true, I think, is that a lot of cause-and-effect patterns are better (or alternatively, at least) understood as an integrated phenomenon, as with Alan Watts and his allegory of the cat entering the room – the appearance of the head of the cat is not the cause of the subsequent appearance of the tail of the cat so much as the entire cat exists, intrinsically manifested as cat head and as cat tail (among other things feline). That is, we divide phenomena up into subphenomena and then describe how one part causes the part that comes after, which is not intrinsically a “better” or “more accurate” way of seeing it than comprehending the larger phenomenon as a whole. Including, ultimately, the possible understanding of the entirety of spacetime as a single event, the only event, an event that has neither cause nor effect and simply is.
But to the extent that “cause” and “effect” are useful notions, they are useful notions for us in the context of a one-way flow of time in which causes come first and effects, caused by them, follow.