It is past time to abandon significance testing. In case there is any reluctance to embrace this decision, proofs against the validity of testing to make decisionsor to identify cause are given. In their place, models should be cast in their reality-based, predictive form. This form can be used for model selection, observablepredictions, or for explaining outcomes. Cause is the ultimate explanation
yet the understanding of cause in modeling is severely lacking. All models should undergo formal verification, where their predictions are tested against competitors and against reality.