Many retirees focus on achieving a high Monte Carlo “probability of success” in retirement—but is chasing a 99% success rate always the best move? In this episode, James highlights a real-life story of a man forced to delay retirement after a divorce dropped his probability of success from 99% to 70%. James explores why this single number shouldn't drive such massive decisions. He explains how context—like income sources, spending flexibility, and home equity—matters more than a static success rate. You’ll learn why 100% isn’t always ideal, and how to build a retirement plan that supports a meaningful life, not just a perfect score.
Questions answered?
1. Should I delay retirement if my Monte Carlo probability of success drops?
2. Is a 100% probability of success the best goal for my retirement plan?
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Timestamps:
0:00 – An encounter at the gym
2:37 – What is Monte Carlo analysis?
4:18 – Consider severity of failure
6:19 – Consider other assets, like property
7:35 – Is a 100% probability score really success?
10:55 – Monitor and course correct
14:13 – Margin
15:07 – No universal number
16:13 – Assumptions about spending
18:27 – Retirement spending smile
20:57 – Context matters
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