Chapter 2 Exercises: The Luck vs. Skill Debate
Level 1: Recall and Comprehension
1.1 What is Michael Mauboussin's "luck-skill continuum"? In your own words, describe what it measures and how activities are placed on it.
1.2 Explain the "paradox of skill." Why does rising average skill in a field increase luck's relative importance?
1.3 What is the "deliberate losing" test for identifying luck-vs-skill dominance? Give one example of its application.
1.4 Summarize the Pluchino, Biondo, and Rapisarda (2018) simulation findings in 3–4 sentences. What was the most surprising result?
1.5 What does Dr. Yuki mean by the distinction between "decision quality" and "outcome quality"? Why does this matter in luck-heavy domains?
Level 2: Application
2.1 Apply the luck-skill continuum to each of the following activities and explain your placement: a) A 100-meter sprint between Olympic athletes b) A high school test on material the student studied c) Predicting whether a specific TikTok video will go viral d) A long-term career in sales e) Winning a game of Candy Land (pure children's board game — fully random)
2.2 Marcus scored 12% on his luck contribution estimate, then revised to 22%. Using what you know from this chapter, where would you place his chess success on the luck-skill continuum? What would be a more accurate estimate, and why?
2.3 The "multiplication model" says Outcome = Skill × Effort × Luck (simplified). What happens to outcomes in each of these scenarios? a) Very high skill, very high effort, very bad luck b) Moderate skill, moderate effort, exceptional luck c) Low skill, maximum effort, maximum luck
2.4 Apply the deliberate-losing test to two new activities of your choice. What did the test reveal about each activity's position on the luck-skill continuum?
Level 3: Analysis
3.1 The chapter argues that "as a field matures and skill levels rise, luck becomes more important in determining who wins." Analyze this claim using a domain you're familiar with. Has the field matured? Have average skill levels risen? Has luck's relative importance increased?
3.2 Evaluate the argument that "high achievers underestimate luck due to survivorship bias." Is survivorship bias a sufficient explanation? What other psychological mechanisms might contribute to underestimating luck?
3.3 Compare and contrast how professional poker and chess treat the luck-skill distinction. What does each game's structure reveal about luck and skill more broadly?
3.4 The chapter mentions that people who acknowledge luck's role are more likely to support redistributive policies. Is this a good reason to acknowledge luck, or is it a reason to be suspicious of luck arguments? (That is: should we evaluate luck claims based on their truth, or could awareness of their political implications bias our assessment of their truth?)
Level 4: Synthesis and Evaluation
4.1 Design a research study to measure the luck:skill ratio in a specific domain of your choice. What would you measure? How would you separate luck from skill in your data? What confounding variables would you need to control for? What would your results tell you, and what couldn't they tell you?
4.2 The chapter presents luck and skill as multiplied rather than added. Develop an argument for why the additive model (Outcome = Skill + Luck) might actually be a better description for some domains. What conditions would favor the additive model? What conditions would favor the multiplicative model?
4.3 Write a 400-word argument for a pure meritocracy position — the view that success primarily reflects talent and effort, and luck's role is minimal. Make the strongest version of this argument. Then write a 200-word rebuttal using evidence from this chapter.
Level 5: Research and Extension
5.1 Mauboussin's "Success Equation" has been applied primarily to finance and sports. Apply his framework to a domain it's rarely been applied to — perhaps creative writing, academic research, political careers, or YouTube content creation. What evidence can you find about the luck:skill ratio in your chosen domain? Write a 700–1000 word analysis.
5.2 The Pluchino et al. (2018) simulation was criticized by some economists and social scientists. Find two substantive critiques of their paper. Evaluate the critiques: are they valid? Do they undermine the paper's core conclusions or just some of its extensions?
5.3 Find a real example of the "paradox of skill" in action in any competitive domain. Show quantitative evidence that average skill levels have risen over time and discuss how this has affected the distribution of outcomes.