Questions for you:
- When evaluating my own successes or failures, how much do I attribute to skill versus circumstances beyond my control?
- Am I too harsh on myself when outcomes don’t match my preparation, without accounting for random factors?
- In what areas of my work are the margins so fine that random variation might exceed the differences in capability?
Organisational applications:
- Performance evaluation and attribution: Recognise that short-term performance metrics in high-variance roles (sales, trading, project management) may reflect timing and market conditions as much as individual capability. Design evaluation systems that assess decision quality rather than outcome quality, particularly when outcomes depend on factors beyond individual control. Track performance over longer periods to allow random variations to average out.
- Recruitment and talent assessment: Question whether past “success” in candidates from high-variance industries (startups, creative fields, consulting) truly demonstrates superior capability or simply reflects fortunate timing and circumstances. Develop interview processes that probe decision-making frameworks and responses to adversity rather than relying heavily on track records. Consider that the most talented candidate may not have the most impressive CV if they faced unlucky circumstances.
- Post-mortem analysis: When projects succeed or fail by narrow margins, avoid simplistic attribution to team performance or leadership decisions. Systematically identify which factors were controllable versus which were random external circumstances. This prevents both unfair blame for near-misses and undeserved credit for lucky successes. Document what was learned about managing uncertainty, not just what “caused” the outcome.
- Innovation assessment: Recognise that innovative ideas often fail due to market timing, competitive moves, or other random factors unrelated to idea quality. Avoid retrospectively judging the quality of strategic decisions solely by their outcomes. Assess whether the decision-making process was sound given available information, not whether external circumstances happened to align favourably.
Further reading
On Adam Peaty and swimming:
A report from 2024 about Peaty’s positive Covid test the day after the 100m breast stroke final: https://www.bbc.co.uk/sport/olympics/articles/crgl6n0x39eo
There’s also something about Peaty’s physiology, the result of course of the random selection lottery of genes, that makes him particularly suitable for swimming breast stroke, according to this article: https://mensfitness.co.uk/features/adam-peaty-interview/
And there are a surprising number of factors that can make a swimming pool “fast”:https://www.swimmingworldmagazine.com/news/what-makes-a-pool-fast/
On luck versus skill in performance:
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets by Nassim Nicholas Taleb (Random House, 2001). Explores how we systematically underestimate the role of randomness in success and failure, particularly in high-stakes fields like finance and business.
Success and Luck: Good Fortune and the Myth of Meritocracy by Robert H. Frank (Princeton University Press, 2016). Economist examines how small random advantages compound over time and why successful people consistently underestimate luck’s role in their achievements.
The Success Equation: Untangling Skill and Luck in Business, Sports, and Investing by Michael J. Mauboussin (Harvard Business Review Press, 2012). Practical framework for distinguishing skill from luck in different contexts, with specific applications to business and sports performance.
On attribution bias and performance assessment:
Thinking in Bets: Making Smarter Decisions When You Don’t Have All the Facts by Annie Duke (Portfolio, 2018). Former professional poker player explains how to separate decision quality from outcome quality, and why we must account for luck when evaluating performance.
The Halo Effect: …and the Eight Other Business Delusions That Deceive Managers by Phil Rosenzweig (Free Press, 2007). Examines how we attribute company success or failure to leadership and strategy when outcomes often reflect random market conditions and timing.
On statistics and sample sizes:
How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg (Penguin Press, 2014). Accessible explanation of why small sample sizes produce unreliable conclusions, with applications to evaluating performance and talent.
The Signal and the Noise: Why So Many Predictions Fail—But Some Don’t by Nate Silver (Penguin Press, 2012). Explores how to distinguish genuine patterns from random variation, and why prediction accuracy requires much larger data sets than we typically have.
On sports performance and randomness:
The Numbers Game: Why Everything You Know About Football is Wrong by Chris Anderson and David Sally (Penguin, 2013). Statistical analysis of how luck influences football outcomes far more than commonly acknowledged, challenging attribution of results to managerial skill.
Scorecasting: The Hidden Influences Behind How Sports Are Played and Games Are Won by Tobias Moskowitz and L. Jon Wertheim (Crown Archetype, 2011). Examines random factors in sports performance and why our intuitions about skill versus chance are often wrong.
On careers and talent:
Range: Why Generalists Triumph in a Specialized World by David Epstein (Riverhead Books, 2019). Challenges the 10,000-hour rule and explores how career success often depends on fortunate timing and varied experiences rather than purely deliberate practice.
Barking Up the Wrong Tree: The Surprising Science Behind Why Everything You Know About Success Is (Mostly) Wrong by Eric Barker (HarperOne, 2017). Research-based examination of what actually predicts success, including the significant role of context and circumstance.
Interactive Exhibit
0.02 seconds is a remarkably short period of time for a human to perceive. Explore it more here.
About the image
This is the Piscina Municipal de Montjuïc in Barcelona, one of the pools used in the 1992 Olympics (although not for swimming – it’s only 25m, so it was used for some of the water polo matches). I took the photo on a holiday in the city in 2016.
Photo montage and photo by Matt Ballantine, 2026 and 2016
Random the Book 