The hidden costs of cognitive bias.
Five cognitive biases that silently erode profitability across the P&C industry, and how data-driven underwriting neutralizes each one.
The Status Quo Bias Is Costing Insurers Millions
Why the safest-feeling decision is often the most expensive oneInsurers default to legacy models not because they're better, but because switching feels risky. Behavioral economics explains why, and what it's costing the industry.
Read more →How Loss Aversion Creates Self-Defeating Moratoriums
The $2 billion problem hiding in your underwriting restrictionsAfter every major wildfire, carriers rush to impose blanket moratoriums. Loss aversion drives the decision, but the data shows it destroys more value than it protects.
Read more →The Anchoring Effect: Why Your First Data Point Ruins Everything
How initial risk scores create invisible distortions in portfolio qualityThe first number an underwriter sees becomes an anchor that distorts every subsequent judgment. Understanding this bias is the key to building better risk selection processes.
Read more →Availability Bias: Why Insurers Overreact to the Last Catastrophe
The cognitive trap that makes your portfolio swing like a pendulumAfter every major catastrophe, the entire industry pivots. But data shows this reactive pattern, driven by availability bias, creates portfolio volatility that destroys long-term profitability.
Read more →The Endowment Effect: Why You Overvalue Your Existing Book
Your portfolio isn't worth what you think, and that's costing you growthCarriers consistently overvalue their existing book of business and undervalue new opportunities. The endowment effect explains why, and reveals a path to better portfolio construction.
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