
The Insurance Policy That Never Pays Out
As sensors and predictive models let insurers see risk in real time, a strange endpoint emerges: coverage so precisely priced that it either costs the same as the loss or refuses the customer entirely. This episode follows the logic of perfect prediction to the moment insurance — a 300-year-old tool for pooling uncertainty — quietly stops making sense.
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Continuous underwriting models use satellite imagery and basement sensors to replace static yearly risk guesses.
Telematics devices now track micro-behaviors like braking force and phone usage to set individualized rates.
Parametric insurance triggers automatic payouts based on local wind speeds or seismograph readings.
High-resolution data streams are eliminating the cross-subsidies that allow low-risk individuals to fund high-risk pools.
Perfect risk prediction threatens to transform collective insurance into a simple personal savings account.
Regulators are cracking down on algorithmic proxies that use zip codes to infer protected characteristics.
- 01Intro1 min
- 02The End of the Yearly Guess2 min
- 03The Twenty-Four Hour Premium2 min
- 04The Death of the Pool3 min
- 05The Paradox of Perfect Prediction1 min
- 06The Regulatory Guardrails1 min
- 07Outro1 min
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