Prediction

Find out whether your explanation can call a future or unseen outcome before it happens.

After a year of tracking, you have a tidy theory of your migraines: red wine plus poor sleep, together, within 48 hours. The theory fits your logged history beautifully. But fitting the past is cheap, since you built the theory from that same past. The real test is whether it can call the future before the future arrives.

Prediction is the evidence job of finding out whether your explanation can anticipate an outcome you haven't seen yet. A story that only explains backward may be pattern-matching on noise; a story that calls the next case forward has earned real weight. The cue is holding a theory assembled entirely from hindsight and preparing to act on it. The operation: derive a concrete forward claim ("if I sleep under six hours and have wine Friday, a migraine follows by Sunday; if I sleep well, wine alone stays safe"), write it down with a confidence level before the weekend, then score it against what happens, and repeat across several occasions. What changes is that your theory graduates from plausible narrative to tested instrument, or fails visibly and sends you looking again. Never force risky predictions purely for testing's sake when the predicted outcome is one you should be preventing.