Chapter 17 — Key Takeaways

Life Insurance Underwriting: Mortality Risk, Medical Evidence, and the Science of How Long You'll Live — a one-page field card.

The core claims

  • Life is risk classification stripped to its essence. No building, no fleet — a person, the medical evidence, and the mortality tables. The whole job is to read the one against the others and place the applicant in the right class.
  • You price timing, not occurrence. Death is certain; the question is its rate over the policy's term. Because the premium is level across the term, the longer the promise, the more you weigh trajectory, not just today's snapshot.
  • Pricing follows risk, literally. The impaired life is not refused — it is admitted at a premium that reflects its expected mortality (the table ratings). Declining every impaired life writes a smaller, no safer book; writing them at standard rates bleeds.
  • Classification is judgment about the whole risk, not a sum of its parts. The build chart is a proxy; two identical height/weight numbers can be a credit and a debit. Read findings for whether they cluster (one metabolic story) or sit isolated inside an otherwise good profile.
  • Underwriting depth and adverse selection are one dial. Every shortcut (simplified, guaranteed, accelerated) lets in more of the lives that most expect to use coverage — and must be paid for in price or structure.

The rules of thumb

  • Mortality ratio: standard life = 100%; a substandard life at 150% is expected to die at 1.5× standard.
  • Table ratings: each table ≈ +25% of standard mortality ≈ +25% of premium. Table 4 ≈ 200% mortality ≈ ~2× the standard premium. Flat extras handle temporary hazards; tables and flat extras can combine.
  • Evidence stack (slow→fast, what each adds): application (frames the risk; self-reported) → APS (gold-standard medical record; slow/costly) → paramed + labs (objective snapshot; catches undisclosed tobacco/diabetes) → MIB (prior-application findings; a pointer, not a diagnosis) → Rx history (fast, predictive; can't show why a drug was prescribed).
  • Major mortality levers, in order, with the condition that governs each: age (the axis) · tobacco (largest modifiable; splits every class) · build (graded by the chart; most often misread) · blood pressure (treated-and-controlled ≪ untreated) · personal history (diagnosis/severity/time-since) · family history (only if early and close).
  • The depth spectrum: fully underwritten (best price, least anti-selection) → accelerated (best price for clean lives, at speed) → simplified issue (app + knockouts, higher price) → guaranteed issue (no health questions; small face + high rate + 2–3 yr graded death benefit).

The key terms

mortality · medical underwriting · attending physician statement (APS) · risk class (preferred/standard/substandard/table rating) · build chart · accelerated underwriting · simplified vs. guaranteed issue

The compliance lines you cannot blur

  • FCRA governs consumer-report data (MVR, certain database reports): notice, permissible purpose, and an adverse-action disclosure on any decline/rating/up-rate.
  • Genetic information is fenced: GINA is strongest in health and employment; its hold on life underwriting is limited and varies by state — and you may never require an applicant to take a genetic test. When the law is unsettled, the move is caution and documentation.
  • Price by risk, never by protected class — and watch accelerated models for proxies that recreate that line in math (Chapter 35 owns this fully).

What you could defend to your manager

"I placed this borderline applicant at preferred-or-near rather than reflexively summing two negatives, because the build is muscle on a documented athlete, the labs and blood pressure show no metabolic cluster, and the only finding that earns its debit — an early family cardiac event — is modest. I ordered an APS only at the class boundary, not by reflex. The class does the pricing; I made sure it was the right class, and the file shows why."