Why the pursuit of a single optimal decision is often a logical fallacy.
In short: In complex decision-making, we often seek the perfect choice. This video from MIT's Risk and Decision Analysis course explains why optimization is frequently an empty goal when balancing competing priorities.
When evaluating outcomes, we must navigate the tension between average performance and extreme results. This process involves inherent risk-reward trade-offs that are fundamentally subjective.
Because these trade-offs depend on individual or organizational values rather than objective constants, the concept of a single 'optimal' solution loses its meaning. This perspective, taught by Richard de Neufville in the Fall 2021 course IDS.333, challenges the assumption that complex systems can be reduced to a simple mathematical maximum.
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Sources
- Summary by Intellect · source: Unit 10: Utility Analysis and Multidimensional Evaluation, Video 1: Is Optimization Possible?
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