Pokémon Cards Beat the S&P 500 by 2.5x, But the Math Is a Lie

Pokémon cards claimed a 3,261% return versus the S&P 500's 421%, but SPY has actually delivered 510% over the same window with real dividends and liquidity.

Collectibles indexes track only graded, top-condition headline cards, which is very different from the random $10 pack in your closet that has no shot at those returns.

Hanson calls it a math crime: comparing a survivor-biased collectibles average to a broad index while ignoring that Amazon, NVIDIA, and Tesla individually crush those card returns.

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A clip making the rounds on social media pitched collectibles as a smarter bet than the stock market. The numbers looked compelling on their face. On The Money Guy Show segment "Financial Advisors React to Jaw Dropping Money Clips," co-host Bo Hanson took the numbers apart and explained why the comparison falls apart under scrutiny.

The clip asserted that Pokémon cards have generated a 20-year average return of 21.8% per year, totaling 3,261%, versus the S&P 500's 421% gain (8.79% annually). The presenter framed it as "2.5 times better than the S&P 500."

Set alongside the actual index, the equity benchmark's long-run record is still substantial. The SPDR S&P 500 ETF ( NYSEARCA:SPY ) has climbed 509.56% over the roughly two-decade window from July 17, 2006 through July 14, 2026, with the ETF last printing $751.97. The 10-year figure alone is 248.34%. Real numbers, real liquidity, real dividends.

Hanson called the comparison a "math crime." His core objection: the clip is stacking an aggregated collectibles number against a diversified equity index. As he put it, "He is taking... the average across all American football cards... and comparing that to a basket of goods in the S&P 500."

Flip the exercise around and pit the collectibles average against individual equity winners, and the story changes. Hanson noted that names like Amazon, NVIDIA, and Tesla would "smoke the numbers here" over the same period. The collectibles pitch quietly compares a survivor-biased average of top cards against a broad index of 500 companies. Apples versus fruit salad.

The second layer of the flaw is the assumption that any given buyer actually captures the aggregate return. Hanson's point was direct: buying a $10 pack of Pokémon cards and holding it for 20 years does not mean you "got so lucky that one of the cards in your pack was so valuable that you recognize a 3,000% rate of return." Aggregate collectibles indexes are constructed from graded, high-condition, headline-grabbing cards. The pack in your closet is almost certainly not in that dataset.

Owning the S&P 500 through a low-cost fund works differently. In Hanson's framing, you "own the 500 largest... best performing companies... in this country. It's not opening a pack of stocks and hoping you get lucky."

There is also the inflation drag no collectibles pitch mentions. The Consumer Price Index has moved from 308.417 in January 2024 to 333.952 in June 2026. The Fed's preferred gauge, Core PCE, sits at 130.082 as of May 2026, in the 90.9th percentile of its trailing 12-month range. Nominal appreciation numbers, whether on cards or stocks, need to be discounted by that ongoing erosion in purchasing power. Illiquid assets with wide bid-ask spreads and grading fees lose even more in the translation from paper gain to realized cash.

For readers interested in filtering hype from signal in frothy markets, our Bubble Survivors Handbook walks through similar pattern recognition on overheated narratives.

When an alternative asset gets pitched with an aggregated return figure, a few questions cut through the noise:

Is the collectibles number an average of graded, top-condition items, or the actual return on a randomly purchased pack?

Is the equity benchmark an index, and if so, why not compare the alternative to specific high-performing stocks over the same window?

What are the transaction, storage, authentication, and tax costs on the alternative side?