Should learning content say what the evidence cannot prove?

I recently added short case studies behind Crypto Term Game for stablecoin depegs, DeFi health factors, and AI prompt injection.

The design challenge was deciding how much certainty an educational explanation should communicate. A chart, ratio, or log can support an observation, but learners often turn that into a stronger conclusion than the evidence allows.

Each case now separates:

- what was observed

- what that evidence is useful for

- what it does not prove

- a reusable checklist for the next case

For technical learning products, is an explicit "cannot prove" section useful, or does it make the lesson feel overly cautious? Would you show that boundary before the conclusion or immediately after it?

Examples: https://cryptotermgame.net/case-studies?utm_source=producthunt&utm_medium=community&utm_campaign=evidence_boundaries

Educational only: no token picks, price calls, or trading signals.