The Success Equation: Untangling Skill and Luck | Michael Mauboussin | Talks at Google

Name: The Success Equation: Untangling Skill and Luck | Michael Mauboussin | Talks at Google
Uploaded: 2014-07-22T16:33:41.000Z
Duration: 2 h 8 min 41 s

Introduction to Skill and Luck

Speaker Introduction

The speaker is introduced as a highly regarded individual, noted for his dual roles as a Managing Director at Credit Suisse and an Adjunct Professor at Columbia.

Emphasis on the speaker's passion for teaching and writing, highlighting these as key aspects of his identity.

Personal Anecdote on Luck

The speaker shares a personal story about luck during his college job search, specifically with Drexel Burnham Lambert.

Describes the interview process involving six interviews followed by a crucial 10-minute meeting with a senior executive.

The Role of Luck in Career Success

Unexpected Outcomes

A casual comment about a Washington Redskins trash can leads to an extended conversation that positively influences the interview outcome.

Despite being voted against by six interviewers, the senior executive overrides their decision based on personal connection made during the interview.

Reflection on Luck

The speaker humorously reflects that his career was launched due to this chance encounter, attributing it purely to luck rather than skill.

Defining Skill and Luck

Key Concepts Introduced

The discussion will focus on defining skill and luck, exploring their interplay over time.

Skill is defined as the ability to apply knowledge effectively in performance; luck is more complex but involves three conditions: occurrence for individuals/organizations, potential for good or bad outcomes, and reasonable expectation of different results.

Luck vs. Skill Continuum

Sports Analogy

Professional sports leagues are arrayed along a continuum from pure luck (e.g., lotteries) to pure skill (e.g., chess), illustrating varying degrees of each factor in success.

Understanding Skill through Poker

A poker-derived test suggests that if one can lose intentionally in an activity, it indicates some level of skill involved; otherwise, it's likely all luck.

Outcome Distribution Model

Conceptual Framework

The Role of Skill and Luck in Achieving Success

The Importance of Skill

The speaker emphasizes that skill is the primary factor in success, with life outcomes being influenced by distributions of skill and luck.

Positive outliers are a result of both exceptional skill and favorable luck; negative outliers tend to not survive long enough to be observed.

Lesson One: Outliers and Their Causes

Using sports as an example, the speaker discusses Joe DiMaggio's 56-game hitting streak, highlighting that while not all skilled players have streaks, all streaks come from skilled players.

This illustrates that skill is necessary for achieving extraordinary results, with luck acting as an additional factor.

Lesson Two: Reversion to the Mean

The concept of reversion to the mean states that extreme outcomes will likely be followed by more average results.

For instance, tall fathers have sons whose heights revert closer to the average height rather than remaining extremely tall.

The position on the skill/luck continuum affects how quickly one reverts to the mean; pure luck leads to complete reversion while pure skill shows no reversion.

Lesson Three: The Paradox of Skill

As skills improve in competitive environments where both skill and luck matter, luck becomes increasingly significant.

This paradox was illustrated through Stephen Jay Gould’s analysis of Ted Williams' batting average compared to modern players.

Implications of Skill Development

Over time, the standard deviation of player skills has narrowed, meaning today's best players are less distinct from average players than they were decades ago.

Consequently, even exceptional performance (like hitting .380 today) does not reach historical benchmarks (like .400).

Conclusion: Shifting Dynamics Between Skill and Luck

While absolute skills across fields have increased over time, relative differences in those skills have diminished—leading to greater reliance on luck for success.

This trend is evident across various domains including investing and business quality standards.

The Paradox of Skill and Its Implications in Sports

Understanding the Role of Luck and Skill

The paradox of skill suggests that as relative skill levels decrease, outcomes become more reliant on luck. This leads to two predictions: absolute improvement in performance and clustering of results.

Evidence from Olympic Marathon Times

An example illustrating this is the Olympic men's marathon times, where the gold medalist's time improved significantly over 80 years, showing a 23.5-minute reduction from 1932 to 2012.

The difference between the gold medalist and the 20th place finisher has decreased dramatically from 39 minutes in 1932 to about five to seven minutes today, indicating a convergence in performance among elite runners.

Trends Across Various Sports

Similar trends are observed across sports like swimming and rowing, necessitating advanced timing devices to accurately measure performances due to minimal differences.

The Arc of Skill Development

Skill development follows an arc: starting with low proficiency, improving through practice until reaching peak performance, then declining. This pattern is evident in physical endeavors such as sports.

Athletes with fast-twitch muscles tend to peak earlier (e.g., sprinters at ages 22-23), while those relying on slow-twitch muscles peak later (e.g., baseball players typically in their late 20s).

Age Dynamics in Tennis Performance

Data shows that winners of Men's Grand Slam tournaments have a mode age of around 24 years old. In the last four decades, only four players over age 30 have won a Grand Slam title.

Roger Federer’s attempt at winning Wimbledon at age 32 highlights how rare it is for older players to succeed at high levels due to natural declines in physical ability.

Cognitive Performance Over Time

Cognitive performance also follows an arc similar to physical skills. Psychologists identify two types of intelligence: crystallized (knowledge accumulation) and fluid (novelty adaptation).

Fluid intelligence peaks in early adulthood but declines thereafter; conversely, crystallized intelligence tends to grow throughout life barring cognitive impairments.

What Age Do Institutional Money Managers Perform Best?

Peak Performance Age for Money Managers

Michael Mauboussin poses a question regarding the peak age for institutional money managers to deliver the best excess returns.

Audience guesses range from 40 to 72 years old, showcasing varied perceptions of age and performance.

The actual average age identified is 42, indicating that early 40s is optimal for delivering excess returns in this profession.

Household Finance Decisions Across Ages

A study by David Laibson at Harvard examines when individuals make the best household finance decisions, such as securing favorable loan terms.

Audience estimates suggest ages between 30 to 60; however, the optimal age found is 53, with most categories converging around this mean.

The discussion raises questions about why older individuals (e.g., those over 60) do not perform better in financial decision-making despite having more assets.

Cognitive Laziness and Decision-Making

Cognitive Decline with Age

Mauboussin illustrates cognitive decline through a logic puzzle involving marital status, emphasizing how initial responses can be misleading due to cognitive shortcuts taken by older individuals.

Many participants initially answer "C" (cannot be determined), which highlights a tendency to overlook critical information when under pressure or without sufficient time to think critically.

Importance of Checking Work

The correct answer is revealed as "A" (yes), demonstrating that checking one's work is crucial for accurate reasoning—something that may diminish with age due to reliance on heuristics rather than thorough analysis.

This example serves as a metaphor for broader cognitive patterns observed in aging populations where quick judgments often lead to errors if not verified properly.

Luck vs Skill: Understanding Outcomes

Distinction Between Luck and Skill

Mauboussin introduces the concept of luck in decision-making processes, differentiating between independent outcomes and path-dependent activities where previous events influence future results.

Understanding Path Dependence Through the "Mona Lisa"

The Baseball Model and Luck in Business

Michael Mauboussin discusses using a baseball player, Adam Jones, to illustrate statistical modeling. In 2011, Jones had a batting average of .280, leading to a simulation model where 28% of the time he hits and 72% he is out.

The process is described as close to independent, suggesting that while not perfect, it can effectively model elements of luck in various business scenarios.

The "Mona Lisa" Quiz and Its Fame

Mauboussin engages the audience with a quiz about the most famous painting in the world, revealing that most people answer "Mona Lisa."

He shares personal experiences visiting the Louvre with his family and highlights common reactions to seeing the painting—primarily its small size.

Historical Context of the "Mona Lisa"

The history of the "Mona Lisa" is briefly outlined: painted by Leonardo da Vinci in the early 1500s and housed in France since around 1517.

Despite its current fame, Mauboussin notes that historically, it was not always considered the most famous painting; only about 85% of people recognize it today.

Shifts in Perception Over Time

Art critics might attribute its fame to da Vinci's unique techniques or features like her enigmatic smile; however, these attributes are not exclusive to this painting.

Interestingly, for much of its existence prior to 1911, it was not regarded as particularly valuable compared to other works by da Vinci or Raphael.

The Theft That Changed Everything

In 1911, an Italian painter stole the "Mona Lisa," which sparked widespread media attention and transformed public perception.

After two years hidden away, when it was authenticated and returned to France in early 1914 amidst great fanfare, this event significantly boosted its popularity.

Conclusion on Cultural Impact

The Cultural Impact of the "Mona Lisa" and Predicting Success

The "Mona Lisa" in Art and Music

The discussion begins with a reference to Marcel Duchamp's parody of the "Mona Lisa," which features a mustache and beard, alongside Nat King Cole's famous song titled "Mona Lisa," highlighting its cultural significance in both art and music.

The value of the "Mona Lisa" is uncertain; it was last appraised for insurance purposes when brought to the U.S. by Jacqueline Kennedy in the early 1960s, sparking interest in its financial worth.

An inflation-adjusted estimate suggests that the "Mona Lisa" could be valued at approximately $2.5 billion in 2014 dollars, making it potentially ten times more valuable than any other painting sold.

The speaker emphasizes that while this valuation exercise is intriguing, it cannot be definitively proven right or wrong due to the subjective nature of art appreciation.

Insights from Music Lab Experiment

A study conducted by sociologists at Columbia University, known as Music Lab, explores how social influence affects musical tastes among participants who rated songs from unknown bands.

Participants were divided into two groups: one group rated songs independently without seeing others' choices (independent condition), while another group saw previous ratings (social worlds).

Results indicated that visibility of others' preferences significantly influenced individual ratings; quality still mattered but social context played a crucial role in determining popularity.

A specific song called "Lockdown" exemplified this phenomenon: it ranked differently across various social worlds despite being average overall, illustrating how context can drastically alter perceptions of success.

Challenges in Predicting Success

The unpredictability of cultural hits raises questions about whether iconic works like "Harry Potter" or "Star Wars" would achieve similar success if history were replayed.

An executive from Time Warner shared insights on the difficulty of predicting hits within media industries, emphasizing their efforts yet acknowledging uncertainty regarding what will resonate with audiences.

Economic Inequality in Success

Economists refer to an inherent inequality termed convexity, where small changes in quality can lead to significant differences in outcomes—illustrated through examples like tennis tournament winnings based on placement.

Stephen King's Pseudonym: The Story of Richard Bachman

Stephen King's Early Success

Stephen King achieved commercial success with his novel "Carrie" in 1973, leading to a prolific writing career where he published approximately one book per year.

Despite this success, King was actually writing more than one novel annually, resulting in a backlog of unpublished works.

The Birth of Richard Bachman

To publish more frequently, King approached his publishers about releasing multiple books each year but was told that the standard practice allowed only one book per author annually.

As a solution, King decided to use the pseudonym Richard Bachman; he chose "Richard" from a nearby novel and "Bachman" inspired by the band Bachman-Turner Overdrive.

Contrasting Commercial Success

For six years, while Stephen King's books enjoyed great commercial success, those published under the name Richard Bachman consistently flopped in sales.

Discovery of Identity

The last book published under the Bachman name was "Thinner," which led to a bookstore patron suspecting it was written by King due to similarities in style and character development.

After confirming that Richard Bachman was indeed Stephen King through copyright records, the patron contacted him. King acknowledged this revelation and offered an interview.

Impact of Revealing Identity

Following the disclosure that "Thinner" was authored by Stephen King rather than Richard Bachman, sales for the book surged tenfold.

Understanding Luck and Narrative Bias

The Nature of Outcomes

Discussing how people perceive luck and skill in outcomes reveals that once an event occurs, individuals create narratives to explain it—often without realizing it.

Cognitive Biases Explained

Two cognitive biases emerge from this narrative creation:

Hindsight Bias: Individuals believe they predicted outcomes with greater accuracy than they did.

Creeping Determinism: People start believing that events could only have unfolded as they did because they now possess all relevant facts.

Neuroscience Insights on Decision-Making

Michael Gazzaniga's research on split-brain patients illustrates how our brains construct explanations for actions even when information is incomplete or inaccessible to one hemisphere.

The Interpreter Function

Understanding the Role of Luck and Skill in Outcomes

The Interpreter's Perspective on Outcomes

The interpreter does not recognize luck; it interprets positive outcomes as good events and negative outcomes as bad events. This highlights a cognitive bias in assessing probabilistic situations.

The Paradox of Skill

If the paradox of skill holds true—where absolute skill is high but relative skill is narrow—it suggests that luck plays a significant role in determining outcomes, complicating our understanding of success.

Storytelling and Meaning-Making

Our inclination to create narratives leads us to impose meaning on uncertain outcomes. Jonathan Gottschall's book "The Storytelling Animal" emphasizes this tendency, stating that our minds are "allergic to uncertainty" and will fabricate stories when faced with randomness.

Research Findings on Business Success

A study analyzed popular business books like "Good to Great," examining how many companies succeeded due to skill versus luck. Researchers found that only 12% could be confidently classified as skillful, while 80% were likely successful due to luck.

Implications for Learning and Improvement

To improve skills, especially in areas dominated by skill rather than luck, deliberate practice is essential. Recent research indicates that both talent and hard work contribute significantly to performance.

Distinguishing Between Skill-Based and Luck-Based Activities

Understanding Skill and Luck in Decision-Making

The Role of Organizational Factors

Discussion on how organizational structures can influence decision quality, highlighting the concept of agency costs where agents and principals may have conflicting interests.

Emphasis on evaluating whether one's organization aids or hinders decision-making processes.

Skill vs. Luck: A Continuum

Explanation of how skill improvement is influenced by one's position on the luck/skill continuum, affecting perceptions of success.

Clarification that true luck only exists in factors beyond one’s control; anything within control is considered skill.

Strategies for Competitive Interactions

Example illustrating competitive strategies: stronger players should simplify the game to leverage their skills, while weaker players should complicate it to dilute opponents' advantages.

Application of these strategies across various domains such as warfare (guerrilla tactics), business (disruptive innovation), and sports (trick plays).

Managing Uncertainty through Testing

Introduction to A/B testing as a method for organizations to reduce uncertainty in marketing efforts, allowing for data-driven decisions.

Highlighting that this approach focuses on causality rather than managing luck directly.

Key Takeaways from the Discussion

Importance of defining skill and luck clearly; understanding the paradox of skill where increased expertise leads to greater reliance on luck due to uniformity among skilled individuals.

Insight into path-dependent processes and their unpredictability, particularly in technology-driven environments with network effects.

The Interpreter's Role in Decision-Making

Discussion about our brain's tendency to seek causes for outcomes; importance of being mindful about interpreting results around us.

Audience Engagement and Questions

Transition into audience questions following the presentation, indicating an interactive session post-discussion.

Insights on Financial Community Perceptions

Audience question regarding perceived randomness in finance; discussion reflects a belief that investing leans heavily towards luck despite high levels of professional skill present among investors.

Paradox of Skill in Investing

Understanding Luck and Skill in Performance Metrics

The Decline of Performance Gaps

The difference in performance between top marathon runners has decreased over time, suggesting a trend towards uniformity in skill levels.

A similar analysis of money managers shows that the standard deviation of excess returns has become skinnier, indicating less disparity between the best and average performers today compared to previous generations.

Skill Versus Luck in Athletics

In sports like soccer, even high-stakes matches such as the World Cup show closely matched probabilities, reflecting evenly matched skills rather than luck alone.

The extraordinary skill level of modern players surpasses that of teams from two decades ago; however, outcomes are often determined by luck due to this parity.

Age and Cognitive Ability in Investing

Warren Buffett's investment acumen is acknowledged across his career; however, he may face challenges competing against younger investors due to changes in capital allocation strategies at Berkshire Hathaway.

Increased capital can also hinder performance as it complicates decision-making processes for seasoned investors like Buffett.

Characteristics of Great Value Investors

Seth Klarman’s quote highlights value investing as a blend of contrarian thinking and analytical skills.

Successful value investors must possess a contrarian streak—willingness to go against prevailing market sentiments while being cautious not to oppose consensus when it is justified.

Decision-Making Independence

Effective value investors operate independently from societal pressures and opinions, which is rare among the general population.

Organizations like Berkshire Hathaway foster environments conducive to quality decision-making without external influences affecting judgment.

Collective Views and Market Efficiency

The audience raises an interesting point about collective views potentially overshadowing individual insights regarding luck versus skill.

Michael Mauboussin discusses "The Wisdom of Crowds," emphasizing that crowds can be wise under certain conditions: diversity of opinions, effective aggregation mechanisms, and appropriate incentives for accuracy.

Conditions for Crowd Wisdom

When diversity exists among participants' viewpoints along with proper aggregation methods and incentives for correct predictions, crowds can yield efficient economic results.

Understanding Market Dynamics and the Role of Luck

The Nature of Market Events

Historical market events like the South Sea Bubble and Tulip Mania illustrate that significant market breakdowns can occur, often driven by psychological or technical factors.

Investors may face situations where they are forced to sell assets due to margin calls, highlighting how external pressures can influence trading decisions.

Skill vs. Luck in Investing

The discussion raises questions about the balance between skill and luck in investing, suggesting that successful investors often capitalize on market anomalies.

A participant expresses concern about feeling powerless despite efforts to excel, prompting a response about the liberating nature of acknowledging luck's role in success.

Case Study: Bill Gates and Gary Kildall

Michael Mauboussin recounts the story of Bill Gates and Gary Kildall, emphasizing how pivotal moments shaped their careers; luck played a crucial role in Gates' rise.

IBM's search for an operating system led them to Microsoft after Kildall failed to engage with them effectively, showcasing how opportunity can hinge on timing and perception.

Consequences of Decisions

After failing to secure a deal with IBM, Kildall’s company lost its dominant position when Gates licensed a similar product (MS DOS), demonstrating how critical business decisions impact outcomes.

The pricing strategy for MS DOS versus Kildall's product illustrates how consumer choices are influenced by perceived value and marketing strategies.

Reflections on Success and Failure

The narrative concludes with reflections on whether success is purely based on effort or if it is significantly influenced by chance events throughout one's career.

Leadership Insights and the Role of Luck

The Nature of Leadership

Discussion begins on leadership in business, particularly in high-level recruitment at Credit Suisse.

Michael Mauboussin emphasizes the distinction between skill and luck in leadership success; hiring should focus on skill rather than luck.

Hiring Practices and Their Effectiveness

Reference to Boris Groysberg's book "Chasing Stars," which critiques the practice of hiring top talent from other organizations, noting poor translation of skills across different environments.

Example provided: 22 GE executives performed well in similar organizations but struggled when transitioning to dissimilar ones.

Defining Effective Leadership

Mauboussin describes effective leaders as strategic thinkers who are data-driven and capable of inspiring enthusiasm within their teams.

He highlights the difficulty in pinning down a precise definition of leadership.

Perception vs. Reality in Leadership Performance

Mention of Phil Rosenzweig's book "The Halo Effect," which discusses how perceptions of CEOs can fluctuate dramatically based on organizational performance.

Talent Payoff Discrepancies

Audience member raises an interesting point about narrowing talent gaps versus widening payoff gaps over time, highlighting a paradoxical situation.

Mauboussin agrees, noting that cognitive surplus has led to increasing payoffs for slightly better performers, influenced by technology.

Economic Implications for Talent

Reference to Sherwin Rosen's paper "The Economics of Superstars," discussing disproportionate rewards for marginally superior individuals in competitive fields.

Observations made regarding significant pay differentials even among those with advanced degrees, indicating systemic issues within economic structures.