We reconstruct the VIX from an options strip and calibrate a Merton jump-diffusion model to the same data, decomposing implied variance into diffusive and jump components. Motivated by the variance risk premium story, that investors pay a persistent premium for crash insurance that mostly goes unclaimed, we compare each component against subsequently realized volatility to see whether the diffusive piece behaves like a less biased forecast than the raw index.