Each post builds a specific household, runs it through the Monte Carlo engine that powers the app, and reports the results.
The trustees put the retirement fund's depletion in late 2032, with 78 percent of benefits payable after. Run across 2,000 lifetimes at claim ages 62, 67, and 70, the cut flips the claiming decision.
Read the post →A layoff at 57 takes this household's plan from 89 to 24 percent. Each repair priced across 5,000 simulated lifetimes, plus an AI-economy scenario.
Read the post →A retirement planner that is wrong does not crash; it returns a plausible number. The correctness infrastructure that keeps the engine reproducing its reference implementation to the cent: an exact-match oracle, a decoupling discipline, and a frozen seed schedule.
Read the post →From 55 to 65 your income sets your health insurance premium. SEPP sizing, the subsidy cliff, and Roth conversion timing, run across 5,000 lifetimes per strategy.
Read the post →The rule of thumb says wait for the bigger check. Across 2,000 simulated lifetimes the two paths come out even, and the deciding factor is a health insurance subsidy the early claimer unlocks.
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