How do you handle conflicting information/data when all data seems to be correct, causal, and feasible?

I have always been intrigued with the idea of conflicting information when all data seems to be correct, causal, and feasible. Are there any simple rules and tools to deal with this conundrum - or, do we just deal with the ambiguity the best we can?

funkyhomosapiens avatar Technology
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