What Most Advisors Get Wrong About Retirement Income

Distribution Planning Is Fundamentally Broken

Every day, financial advisors across the country run retirement projections for their clients. They input assumptions—expected returns, inflation rates, withdrawal amounts—and software spits out a probability of success. The client sees "92% chance of not running out of money" and feels reassured.

But here's the uncomfortable truth: the entire methodology most advisors rely on is built on two fundamentally flawed assumptions. And those flaws don't just create small errors—they can lead to dramatically wrong conclusions about how much you can safely spend in retirement.

Flaw #1: Markets Aren't Random

The foundation of Monte Carlo simulation—the method behind most retirement planning software—is the assumption that market returns are essentially random. Each year's return is treated as an independent event, pulled from a probability distribution.

But markets don't work that way. They exhibit what researchers call "serial correlation"—periods of strong returns tend to cluster together, as do periods of weakness. Bull markets and bear markets aren't random coin flips. They're regimes that can persist for years.

This matters enormously for retirement planning. The sequence of returns—not just the average—determines whether you run out of money. A retiree who experiences poor returns in their first few years faces a completely different outcome than one who gets lucky early, even if their average returns are identical.

Flaw #2: Traditional Tools Ignore Private Alternatives

Even if you solve the Monte Carlo problem, there's a second fundamental flaw in how most advisors model retirement portfolios: they only consider public market investments.

Standard retirement planning software models portfolios of stocks, bonds, and cash. But the portfolios we build for clients at Second 50 include a meaningful allocation to private alternatives—private credit, private real estate, and other institutional-quality strategies that behave very differently from public markets.

A portfolio with lower volatility can support higher sustainable withdrawals—even if average returns are the same. Private alternatives, with their lower correlation to public markets and reduced volatility, can meaningfully increase the income a portfolio can safely generate.

Our Solution: The Second 50 Method™

At Second 50, we've developed The Second 50 Method™—a comprehensive planning approach that addresses both fundamental flaws.

First, we incorporate historical sequence analysis rather than relying solely on Monte Carlo assumptions. We show clients what their plan would have looked like starting in 1929, 1966, 1973, 2000, and 2008—the actual worst-case scenarios from history, not theoretical ones generated by random number algorithms.

Second, we properly model portfolios that include private alternatives. This means our sustainable withdrawal calculations reflect the actual volatility characteristics and return profiles of the portfolios we build—not a simplified stocks-and-bonds proxy.

• What history actually tells us about sustainable spending
• How their specific portfolio—including private alternatives—changes the equation
• What would have to go wrong for their plan to fail
• What adjustments they could make if markets deliver an unlucky sequence

The Confidence That Comes From Truth

Clients don't actually want optimistic projections. They want the truth—presented in a way they can understand and act on.

When you show someone a Monte Carlo simulation with a 95% success rate, you're giving them false precision about an unknowable future. When you show them what actually happened to retirees who started in 1966 or 2000, and how a well-constructed portfolio with lower volatility could have improved those outcomes, you're giving them something far more valuable: genuine understanding.

That understanding—not a probability percentage—is what creates real confidence in retirement.