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Think Twice

Think Twice

Harnessing the Power of Counterintuition
by Michael J. Mauboussin 2009 224 pages
3.93
1k+ ratings
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Key Takeaways

1. Our minds are not designed for many of today's problems

Smart people make poor decisions because they have the same factory settings on their mental software as the rest of us, and that software isn't designed to cope with many of today's problems.

Cognitive biases affect everyone. Even highly intelligent individuals are susceptible to decision-making errors due to inherent mental shortcuts and biases. These biases, which evolved to help us survive in simpler environments, can lead to poor choices in our complex modern world.

Awareness is key. Recognizing these mental pitfalls is the first step in improving decision-making. Common biases include:

  • Overconfidence
  • Confirmation bias
  • Anchoring effect
  • Availability heuristic

Deliberate strategies can help. To combat these biases, we can:

  • Seek diverse perspectives
  • Consider contrary evidence
  • Use structured decision-making frameworks
  • Embrace probabilistic thinking

2. The outside view trumps the inside view in decision-making

If you want to know how something is going to turn out for you, look at how it turned out for others in the same situation.

The inside view is intuitive but flawed. When making predictions, we naturally focus on our unique circumstances and plans. This leads to overly optimistic forecasts and a failure to consider potential obstacles.

The outside view provides valuable context. By examining similar situations and outcomes, we can:

  • Gain a more realistic perspective
  • Identify common pitfalls
  • Set more accurate expectations

Practical application: When embarking on a new project or venture:

  1. Identify a relevant reference class of similar endeavors
  2. Gather data on their outcomes and timelines
  3. Use this information to inform your own plans and predictions
  4. Adjust your expectations based on the typical results in your reference class

3. Tunnel vision leads to poor choices

We generally fail to consider enough alternatives looking forward and think we knew what was going on looking backward.

Limited options limit outcomes. When we fail to consider a sufficient range of alternatives, we risk overlooking better solutions and missing potential pitfalls.

Cognitive biases contribute to tunnel vision:

  • Anchoring: Fixating on initial information or ideas
  • Confirmation bias: Seeking information that supports existing beliefs
  • Availability heuristic: Overemphasizing easily recalled information

Strategies to broaden perspective:

  1. Actively generate multiple alternatives
  2. Seek input from diverse sources
  3. Use structured brainstorming techniques
  4. Consider the opposite of your initial instinct
  5. Employ "red team" thinking to challenge assumptions

4. Experts are being squeezed out by technology and crowds

As networks harness the wisdom of crowds and computing power grows, the ability of experts to add value in their predictions is steadily declining.

The expert squeeze is reshaping industries. Traditional expertise is being challenged by:

  1. Advanced algorithms and machine learning
  2. Collective intelligence platforms
  3. Big data analytics

Areas where experts retain an edge:

  • Complex, context-dependent problems
  • Strategic thinking and creativity
  • Human-to-human interactions

Adapting to the new landscape:

  • Identify where human expertise adds unique value
  • Embrace technology as a complement to human skills
  • Develop meta-expertise in integrating multiple information sources
  • Focus on skills that are difficult to automate, such as emotional intelligence and complex problem-solving

5. Our situation shapes our decisions more than we realize

Decision making, whether in the medical office, the boardroom, or the courtroom, is an inherently social exercise.

Context is crucial. Our environment, including physical surroundings and social dynamics, significantly influences our choices, often without our awareness.

Key situational factors:

  • Social pressure and conformity
  • Priming effects from environmental cues
  • Default options and choice architecture
  • Emotional states and stress levels

Mitigating situational influences:

  1. Increase awareness of potential situational biases
  2. Create decision-making environments that support objectivity
  3. Use structured processes to counteract undue influences
  4. Seek diverse perspectives to challenge groupthink
  5. Practice mindfulness to enhance self-awareness in various contexts

6. Complex systems cannot be understood by their individual parts

You cannot understand an ant colony by watching what one ant does.

Emergent behavior defies reductionism. In complex adaptive systems, such as economies, ecosystems, or social networks, the whole behaves differently than the sum of its parts.

Key characteristics of complex systems:

  • Non-linear interactions
  • Feedback loops
  • Adaptive behavior
  • Emergence of novel properties

Implications for decision-making:

  1. Avoid oversimplification of complex problems
  2. Consider system-wide effects of interventions
  3. Embrace uncertainty and unpredictability
  4. Use simulations and modeling to explore scenarios
  5. Adopt a holistic, systems-thinking approach

7. Phase transitions cause sudden, unexpected changes

Critical points help explain our perpetual surprise at black swan events because we have a hard time understanding how such small incremental perturbations can lead to such large outcomes.

Tipping points defy linear thinking. In many systems, small changes can accumulate until a critical threshold is reached, leading to rapid, large-scale transformations.

Examples of phase transitions:

  • Financial market crashes
  • Viral content spread
  • Ecological shifts
  • Social movements

Strategies for dealing with phase transitions:

  1. Study historical patterns and precursors
  2. Monitor early warning signals and leading indicators
  3. Build resilience and adaptability into systems
  4. Prepare for multiple scenarios, including extreme outcomes
  5. Embrace antifragility – systems that benefit from volatility

8. Distinguishing skill from luck is crucial for evaluating outcomes

When luck is prominent in shaping outcomes, you should anticipate that reversion to the mean will make it likely that extreme outcomes are followed by more average outcomes.

Misattributing luck as skill leads to poor decisions. In many domains, such as investing, business, and sports, outcomes are influenced by both skill and chance. Failing to recognize this can result in:

  • Overconfidence after successes
  • Undue criticism after failures
  • Misallocation of resources

Key considerations:

  • Short-term results are often heavily influenced by luck
  • Larger sample sizes are needed to discern skill in luck-dominated fields
  • Reversion to the mean is a powerful force in many domains

Strategies for better evaluation:

  1. Focus on process over outcomes
  2. Use appropriate time horizons for assessment
  3. Consider counterfactuals and alternative scenarios
  4. Employ statistical thinking and probabilistic reasoning
  5. Seek out reliable, long-term performance metrics

Last updated:

Review Summary

3.93 out of 5
Average of 1k+ ratings from Goodreads and Amazon.

Think Twice receives mixed reviews, with ratings ranging from 2 to 5 stars. Many readers find it insightful and practical for improving decision-making, praising its well-researched content and accessible writing style. Some appreciate its focus on behavioral biases and cognitive errors. However, critics argue it lacks originality, rehashing ideas from other behavioral finance books. Some find it dry or overly simplistic. Overall, it's recommended for those new to the subject but may be redundant for readers familiar with similar works.

Your rating:

About the Author

Michael J. Mauboussin is the Chief Investment Strategist at Legg Mason Capital Management and a former Managing Director at Credit Suisse. He has authored several books, including "Think Twice" and "More Than You Know," which received critical acclaim. Mauboussin has been an adjunct professor at Columbia Business School since 1993, earning the Dean's Award for Teaching Excellence in 2009. He is affiliated with the Santa Fe Institute and serves on the board of Sermo. With a background in financial analysis and a focus on behavioral finance, Mauboussin combines academic research with practical investment strategies in his work.

Other books by Michael J. Mauboussin

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