Reason-Centered Risk Categorization

Insurance underwriting requires categorizing risk—but the categories chosen reflect moral commitments. Zera Yacob insisted that reason examine the actual foundations of claims rather than accepting superficial patterns. Applied to insurance, this means risk categories should reflect genuine causal factors: driving behavior matters; vehicle safety features matter; age might reflect experience. But categories based on zip code, race, or gender—even when statistically correlated with loss—fail the test of reason because they treat symptoms as causes and embed systemic injustice into underwriting. Reason-centered categorization asks: what actually causes this loss? Does this category measure that cause or does it proxy for something else? A 25-year-old and 75-year-old driver may have different accident risks—reason-based rating reflects that. But charging Black customers more based on historical redlining patterns violates reason; it punishes people for others' past harm. This sophos would demand that insurance companies scrutinize their own categorization schemes, eliminate discriminatory proxies, and base risk assessment on actual causal mechanisms. This protects both fairness and the epistemic integrity of insurance as a science.