THE 12% LIE 99% OF INVESTORS ARE TOLD

What actually happens to the S&P 500'S average return once it meets your money.

January 2000.

The S&P 500 sat near an all-time high, tech stocks priced for a future that hadn’t arrived yet, and somewhere in the country a worker retired with a million-dollar portfolio and a plan to draw it down at 4% a year —

the withdrawal rate an obscure California planner named William Bengen had spent the 1990s defending as safe, based on decades of historical data.

Within three years the dot-com collapse cut the market roughly in half.

Before that portfolio had time to recover, 2008 cut it again.

This retiree hadn’t done anything wrong.

He’d followed the rule, held the index, diversified the way every book told him to.

He’d simply started at the wrong moment, and the wrong moment turned out to matter more than any thirty-year average he could have quoted on his way out the door.

Now compare him to a colleague who kept working through both crashes, still funding a 401(k) every two weeks. That colleague watched the same headlines and probably felt just as sick about them — the balance on the statement fell just as hard, in percentage terms. But the paycheck kept buying shares, and it bought more of them when prices were cheap. The market didn’t treat these two people identically, even though both were, in the most literal sense, invested in the same index over the same twenty years.

The arithmetic explains why.

Drop a portfolio 50% and it needs a 100% gain just to get back to even — not another 50%. Rally 50% off the bottom instead, and the portfolio is still 25% short of where it started, because that second move is being applied to a pile of money that’s already half the size it used to be. Workers who still buying don’t feel this distortion much; new contributions keep landing on both sides of the crash.

Retirees who are withdrawing feel it directly, because every dollar pulled out during the drawdown is a dollar that can never participate in the recovery. The shares sold at the bottom are gone. They don’t come back when the market does.

This is what the financial planning world calls sequence-of-returns risk, and it’s the reason two people can hold the exact same fund, experience the exact same twenty-year average return, and end up in entirely different financial positions.

Researchers who’ve run the numbers on historical retirement dates keep landing on the same handful of bad years — 1966, 1973, and 2000 show up again and again as the worst times in the last century to have retired, not because the following decades were poor on average, but because the first five to ten years were.

[CHART 1 — Same Index, Two Portfolios: an accumulating worker’s contributions buying more shares through a crash, against a retiring investor’s withdrawals selling more shares through the same crash]

None of this is an argument against buy and hold.

No rolling twenty-year period in S&P 500 history has ever produced a negative total return, which is the strongest data point in favor of staying invested for anyone with a long enough runway and no near-term withdrawals to make.

For most people still building wealth, low-cost exposure to American corporate earnings remains more sensible than trying to time the next turn. The problem isn’t the strategy. It’s what gets bolted onto the strategy — a single return figure treated as a promise instead of a historical result.

Long-run S&P 500 total returns do run close to 10% nominal, depending on which dates you use. Fidelity puts the thirty years through 2025 at 10.4%. Since the modern 500-stock index began in 1957, the inflation-adjusted figure lands somewhere between 6.5% and 6.8% across independent calculations — a tighter, less flattering number than the one usually printed at the top of a retirement projection.

Neither number arrived smoothly.

Both are the sum of decades that included 2000, 2008, and 2022, not a steady climb that happened to average out.

Treating either one as a coupon the market owes you, rather than a historical outcome that depended heavily on timing, is where the trouble starts.

That trouble is getting harder to see because a lot of current return assumptions quietly extend the best features of the last fifteen years — fat corporate margins, mega-cap valuations that keep expanding, discount rates that kept falling, and a US market that kept outrunning the rest of the world. Perhaps all of that persists.

But a thirty-year plan that requires it to persist is a fundamentally different plan than one built to survive if it doesn’t, and most retirement calculators don’t ask you which one you’re building.

Familiarity with a ticker does not turn an aggressive assumption into a conservative one.

USE A RANGE, NOT A PROMISE

I would never anchor a retirement portfolio, a fund target, or a company treasury to a single return figure.

The useful question isn’t “what does this become at 12%?”

It’s “what survives if the first decade looks like 2000 instead of 1982?”

Someone who retired in 1982 walked straight into one of the longest bull markets in US history.

Someone who retired eighteen years later, with a nearly identical résumé and an identical withdrawal rate, walked into two of the worst.

The plan on paper was the same plan. The outcome wasn’t, and no amount of averaging the two eras together would have warned either retiree which one they were about to live through.

Start by running three cases instead of one — optimistic, base, and stressed — and let the stress case actually hurt.

Push the starting valuation higher, since expensive markets have historically delivered lower forward returns than cheap ones. Then put a large drawdown in the first five years instead of the twentieth, since that’s where the damage compounds. Raise the inflation assumption above the last decade’s unusually calm numbers.

Layer in the fees, taxes, and withdrawals that retail calculators tend to strip out because a bigger number sells better than an honest one.

None of this is about predicting the exact sequence the next thirty years will hand you — nobody can do that — it’s about finding the sequence that breaks the plan, so you know it’s there before it happens instead of after.

Keep four numbers separate while you’re doing it, because they get blurred into one constantly and the blurring is where the false confidence comes from.

[TABLE — Four Numbers That Get Blurred Into One: Arithmetic Average / CAGR / Real (Inflation-Adjusted) Return / Return After Costs and Withdrawals — shown across the 30-year, since-1957, and since-1928 windows]

The arithmetic average is the simplest and the most misleading — it’s just the mean of the yearly returns, and it ignores that losses and gains don’t offset symmetrically once you’re compounding.

The CAGR is what your money actually did, accounting for that asymmetry.

The real return strips out inflation, which matters enormously over thirty years even at a mild 3% annual pace. And the return after costs and withdrawals is the only one of the four that describes what you personally get to keep, which is usually the smallest number on the page and the one every projection quietly omits.

Bengen’s original 4% rule already built in some cushion for sequence risk — it was designed using the worst historical starting years, not the average ones, which is why it held up reasonably well even for the 2000 retiree. But it assumed a fixed withdrawal pattern, adjusted only for inflation, with no flexibility.

More recent research on dynamic guardrails — cutting withdrawals modestly in bad years, letting them rise in good ones — has shown meaningfully better survival odds for a portfolio than sticking rigidly to a number set on day one. The lesson generalizes past retirement withdrawals: a plan that can bend under a bad sequence tends to outlast one that can only succeed if the sequence behaves.

If a plan only works at 12%, that plan is leveraged to optimism, whether or not anyone involved would describe it that way.

The S&P 500 can print a 12% average over some selected window, and that statistic can be completely accurate and still tell you nothing useful about your own compounding path.

Your capital has to travel through every drawdown, every valuation reset, and every inflation regime between the first dollar you put in and the last one you take out. The index doesn’t skip any of them on your behalf, and it doesn’t care what year you happened to start.

The average lives in the spreadsheet.

Your wealth will be the result of that sequence.

ZTrader.AI tracks the structure behind the headline return — liquidity, valuation, volatility, regime shifts.

If you want the next Chart of the Day instead of another smooth-line market story, subscribe or enter the research system at ztrader.ai.

Data note: Figures are illustrative and rounded. Nominal returns include reinvested dividends; real returns adjust for inflation. Results shift with the selected start and end dates. The 2000-retirement example is a commonly cited illustration in retirement-planning research, not a specific individual’s account.

Sources:

Fidelity — S&P 500 average returns: fidelity.com/learning-center/trading-investing/sp-500-average-return

S&P 500 annual total returns: slickcharts.com/sp500/returns

Investopedia — historical nominal and real returns: investopedia.com/ask/answers/042415/what-average-annual-return-sp-500.asp

Schwab — sequence-of-returns risk explainer: schwab.com/learn/story/timing-matters-understanding-sequence-returns-risk