In the world of decision-making, what you don\u2019t<\/em> see often matters more than what you do<\/em>. Survivorship Bias is the tendency to focus only on the people or things that made it past a selection process\u2014and ignore those that didn\u2019t\u2014thereby distorting the full picture and leading to flawed conclusions.<\/p>\n\n\n\n This model is a foundational warning to any executive, strategist, or investor: beware the narrative told only by the winners. Because the losers often have the most valuable lessons.<\/p>\n\n\n\n Survivorship Bias occurs when we draw conclusions based on the visible successes, while failing to consider the silent majority who failed and disappeared from view.<\/p>\n\n\n\n Think of entrepreneurs idolizing unicorn startups without studying the thousands of failed companies with the same ideas. Or investors analyzing the \u201cTop 10 Performing Funds\u201d without factoring in the countless funds that quietly shut down before making the list.<\/p>\n\n\n\n It’s like looking at a battlefield and only seeing the soldiers who returned\u2014not realizing the real story is with those who never made it back.<\/p>\n\n\n\n During World War II, the Allies analyzed returning fighter planes to see where they should reinforce armor. The initial idea was to strengthen the parts with the most bullet holes\u2014wings and fuselage.<\/p>\n\n\n\n But statistician Abraham Wald proposed the opposite. The returning planes survived despite those hits. The real issue lay in the missing<\/em> planes\u2014the ones that didn\u2019t return\u2014likely hit in other critical areas like the engines.<\/p>\n\n\n\n This is Survivorship Bias in action. It\u2019s not just about what\u2019s in front of you. It\u2019s about what\u2019s not<\/em>.<\/p>\n\n\n\n In business, this bias creeps in constantly:<\/p>\n\n\n\n Survivorship Bias also distorts performance metrics in markets. Mutual funds that perform poorly often close or merge into others. But when you scan a database of active funds, all you see are the survivors, making historical returns look rosier than reality.<\/p>\n\n\n\n If you\u2019re assessing managers, strategies, or even stock performance, this bias can inflate your optimism and blind you to risk.<\/p>\n\n\n\n Great decision-makers understand that history isn\u2019t just written by the victors\u2014it\u2019s written about<\/em> the victors. The stories we tell often exclude the vast, quiet majority who didn’t make it.<\/p>\n\n\n\n True wisdom comes from looking beyond the polished success stories and learning from the overlooked, the forgotten, and the fallen.<\/p>\n\n\n\n Executives who master this lens are less likely to be fooled by vanity metrics, hollow benchmarks, and seductive outliers. They build strategies rooted in the whole truth\u2014not just the part that made it out alive.<\/p>\n\n\n\n Missed out on the over all series<\/a>?<\/p>\n\n\n\n Murray Slatter<\/strong><\/p>\n\n\n\n Strategy, Growth, and Transformation Consultant: Book time to meet with me here!<\/a><\/p>\n\n\n\n
\n\n\n\nWhat Is Survivorship Bias?<\/h3>\n\n\n\n
\n\n\n\nA Classic Case: WWII Planes<\/h3>\n\n\n\n
\n\n\n\nExecutive Relevance: The Risk of Studying Only Success<\/h3>\n\n\n\n
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\n\n\n\nSurvivorship Bias and Modern Investing<\/h3>\n\n\n\n
\n\n\n\nHow to Think Clearly: Practical Guardrails<\/h3>\n\n\n\n
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Before drawing conclusions, deliberately ask: \u201cWho didn\u2019t make it into this dataset, and why?\u201d<\/li>\n\n\n\n
Build failure analysis into your decision-making process. There\u2019s often more wisdom in why startups fail than in why they succeed.<\/li>\n\n\n\n
Include a broader range of inputs when evaluating performance. Look at closed funds, scrapped products, and unsuccessful launches to get a full picture.<\/li>\n\n\n\n
When benchmarking or forecasting, adjust your expectations to account for how many others tried and failed<\/em>.<\/li>\n<\/ol>\n\n\n\n
\n\n\n\nClosing Reflection: Learning from the Invisible<\/h3>\n\n\n\n
Or Signup for the Newsletter<\/h2>\n\n\n\n