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Model verification and validation

Verification checks that code implements the intended model; validation checks whether the model is adequate for its intended use.

The plain-English version

Verification checks that code implements the intended model; validation checks whether the model is adequate for its intended use.

Why it matters

It prevents successful execution from being mistaken for real-world accuracy.

Let’s make it click

Compare a solver with an analytic toy case, then compare the model with relevant observations.

Vibe Bro’s heads-up

A model can be implemented correctly and still omit important effects, use poor parameters, or be applied outside its useful range.

The docs behind it

Editorial review · October 28, 2026

Supported: Verification concerns implementation of the intended model; validation concerns adequacy for intended real-world use.

Read the content review record.

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