• Wealth Waves
  • Posts
  • Survivorship Bias: Why We Only See the Winners in Finance

Survivorship Bias: Why We Only See the Winners in Finance

In partnership with

The gold standard of business news

Morning Brew is transforming the way working professionals consume business news.

They skip the jargon and lengthy stories, and instead serve up the news impacting your life and career with a hint of wit and humor. This way, you’ll actually enjoy reading the news—and the information sticks.

Best part? Morning Brew’s newsletter is completely free. Sign up in just 10 seconds and if you realize that you prefer long, dense, and boring business news—you can always go back to it.

Why do we only hear about the investors who struck gold, the startups that became unicorns, and the stocks that soared? It’s not because failures don’t exist—it’s because they get filtered out of the story. This is survivorship bias, one of the most deceptive cognitive traps in finance. It makes us focus on winners while ignoring the countless losers who started with the same ambitions but never made it.

In this article, we’ll break down how survivorship bias distorts financial decision-making, explore real-world examples, and discuss how to avoid its pitfalls.

What Is Survivorship Bias?
Survivorship bias is a logical error that occurs when we base conclusions on a visible set of successes while ignoring the failures that didn’t make the cut. In finance, this often leads to an overestimation of returns, underestimation of risk, and misplaced confidence in certain strategies.

Consider an investment fund that promotes its stellar 10-year track record. What it doesn’t tell you is that multiple funds managed by the same firm were quietly shut down due to poor performance. The only ones left standing are the successful ones, creating an illusion that success was more common than it actually was.

Examples of Survivorship Bias in Finance

  1. Stock Market Success Stories

    • People admire Warren Buffett’s investment prowess but rarely hear about thousands of investors who followed similar strategies and failed.

    • The tech boom highlights companies like Amazon and Apple but ignores the hundreds of startups that crashed and burned.

  2. Mutual Fund Performance

    • Many mutual funds promote their stellar long-term returns, but they often exclude data from underperforming funds that were shut down.

  3. Entrepreneurial Glorification

    • Startup culture glamorizes the few unicorns that succeeded but ignores the majority that failed, leading aspiring entrepreneurs to underestimate risks.

The Impact of Survivorship Bias on Decision-Making

  • Overconfidence in Investing: Investors may assume they can replicate past successes without considering the full risk spectrum.

  • Ignoring Risk in Business: Entrepreneurs might believe success is more likely than it actually is, leading to reckless decision-making.

  • Misleading Historical Performance: Financial advisors and funds may showcase impressive track records that ignore failures, making their strategies seem foolproof.

How to Avoid Survivorship Bias

  1. Look at the Whole Data Set

    • Instead of just analyzing successful companies, study failure rates and reasons for collapse.

  2. Ask What’s Missing

    • When evaluating an investment, ask: What happened to those who didn’t succeed? What is being left out?

  3. Consider the Risks, Not Just Rewards

    • Instead of only looking at winners, assess the risks taken by those who failed.

  4. Use Base Rates

    • Consider statistical probabilities instead of relying solely on anecdotal success stories.

Conclusion
Survivorship bias distorts how we see financial success, making it seem more common and achievable than it truly is. Recognizing this bias can help investors, entrepreneurs, and everyday decision-makers avoid unrealistic expectations and make more informed choices.

Next time you hear about an incredible investment success story, ask yourself: What aren’t they telling me?

How would you rate today's post?

Login or Subscribe to participate in polls.