Pokémon Cards Don't Beat Stocks. The Math Is Rigged.

Survivorship Bias Alternative Investments: The Oldest Trick in a New Wrapper

A chart went viral this week claiming Pokémon cards returned 2.5x the S&P 500 over the past decade. Retail traders are sharing it like gospel. The problem: it's a textbook case of survivorship bias alternative investments propaganda, and the same flawed methodology infects every "this obscure asset beat stocks" pitch you'll encounter in crypto, NFTs, watches, and whisky casks.

I've seen this movie before. Someone cherry-picks the winners, ignores the losers, strips out all friction costs, and compares a curated highlight reel against a broad index. It's not analysis. It's marketing.

The timing isn't accidental. Markets are skittish — geopolitical risk is elevated, Ethereum is drifting on thin volume, and the perma-bears are out in force calling everything useless. When equities look scary, alternative asset pitches always spike. That's when you need to be sharpest about what the numbers actually say.

How Does Survivorship Bias Inflate Alternative Asset Returns?

Survivorship bias is simple. You measure only the things that survived and pretend the dead ones never existed.

Apply this to Pokémon cards. The viral dataset tracks graded, high-value cards that traded on auction platforms. It does not include the thousands of cards that lost value, never found a buyer, or sat in a shoebox until they were worthless. It certainly doesn't include the bulk commons that make up 95% of any collection.

This is identical to what happens when someone tells you a specific meme coin did 400x. True — if you only count the one that mooned. Not the 9,000 others that went to zero in the same period. Cherry-picked investment returns are survivorship bias with better branding.

The S&P 500, by contrast, is a rules-based index. When a company fails, it drops out and gets replaced. The index return already includes those losses. When you compare a curated set of winners against an index that accounts for its losers, you're not making a fair comparison. You're lying with selection.

Do Pokémon Cards Really Outperform the S&P 500?

No. Not when you do the math honestly.

The claim relies on PSA 10 graded specimens of specific chase cards. Here's what it leaves out:

Grading costs. PSA charges $50-150 per card depending on tier and speed. A collection of 100 cards costs $5,000-$15,000 just to grade. Most come back at PSA 7 or 8, worth a fraction of the 10. Unsold inventory. Auction houses report hammer prices. They don't report the 40% of lots that fail to meet reserve and never sell. Storage and insurance. Try insuring a $50,000 card collection. It's not free. Illiquidity discount. You can sell SPY in 0.3 seconds. Selling a rare card at fair value takes weeks or months. That illiquidity has a cost traders understand intuitively. Spread. The bid-ask on collectibles runs 15-30%. On SPY it's a penny.

When academics have controlled for these factors in studies of sports memorabilia, the "outperformance" tends to collapse to roughly matching T-bills. There's no reason Pokémon cards would be different.

How to Spot Cherry-Picked Data in Crypto and NFT Performance Claims

Survivorship bias in crypto return claims is everywhere. Here's the detection framework I use:

Ask: what's the denominator? If someone says "NFTs returned 300% in 2021," ask which NFTs. All of them? The top 1%? The ones that actually resold? Most NFTs minted in 2021 have zero secondary market activity today. NFT-versus-S&P 500 comparisons almost never include the dead tokens.

Ask: when does the clock start? Cherry-pickers choose start dates that flatter the asset. Bitcoin from March 2020 looks incredible. Bitcoin from November 2021 looks awful. The S&P 500 doesn't get this luxury — it's measured continuously.

Ask: are costs included? Gas fees on Ethereum transactions, exchange spreads on crypto, buyer's premiums at auction — these compound fast. Misleading alternative asset performance almost always quotes gross returns.

Ask: could I have known in advance? This is the killer. The Pokémon card study picks cards that became valuable. But in 2015, could you have identified which specific cards would appreciate 10x? No. You'd have needed to buy broadly, and broad collectible returns are terrible.

If you want to understand S&P 500 concentration risk, that's a legitimate concern. But the answer isn't switching to an asset class with worse data, worse liquidity, and worse cost structures.

What Costs Are Hidden in Collectible Investment Returns?

Let me lay this out like a P&L, because that's what it is:

A collectible needs to appreciate 20-30% just to break even against a zero-cost index fund after round-trip friction. That's not a hurdle rate. That's a wall.

The same logic applies to watches, wine, and classic cars. Every "this asset class beats stocks" pitch I've seen in twenty years of trading collapses when you add real-world costs back in. The ones that don't collapse tend to require capital levels where you're not reading viral tweets for investment ideas.

The Honest Comparison

If you're interested in how momentum ETFs actually compare to the S&P 500, that's a conversation grounded in auditable data, standardized costs, and daily liquidity. You can backtest it. You can paper trade it. You can verify the methodology.

You can't do any of that with "Pokémon cards beat stocks." You're taking one person's curated dataset on faith.

My rule is simple: if someone shows you an asset that "beats the S&P" and you can't replicate the return series independently, with all costs, using a systematic buying rule that doesn't require future knowledge — it's entertainment, not evidence.

Want to stress-test these concepts yourself? You can practice spotting these setups risk-free on Traderise before putting real capital behind any thesis. That's worth more than a thousand viral charts.