Correlations might suggest an underlying cause we can rely on (a bit of real knowledge), but we might have missed something when testing and observing what affects what. The correlation might be spurious, or accidental. We might have been looking for the wrong thing. The sample size might be too small or unrepresentative for reasons that only become apparent later.
