Mario Meets Pareto

In Mario Kart 8, selecting your driver, kart body, tires, and glider is vital to winning a race, not just a matter of personal preference. Each choice comes with various statistics (speed, acceleration, ...) that impact performance. This leads to countless combinations, making it challenging to identify the optimal build. A century-old economic principle by economist Vilfredo Pareto offers a solution.

By ranking drivers by speed, you can determine the fastest option. However, this is not enough. You must also consider acceleration, as some drivers may have superior speed but weaker acceleration. Eliminating inefficient choices reveals the Pareto front, a set of optimal options that are not dominated by any other in terms of both speed and acceleration.

Although not all drivers on the Pareto front are equally suitable, they provide a starting point for selecting a build tailored to your preferences and skills. This principle applies to various real-world decisions, such as choosing a meal that balances price and taste, a job that offers good pay, ease, and fulfillment, or a portfolio with low risks and high returns.

In multi-objective optimization problems, where assigning weights to each dimension is uncertain, the Pareto front helps identify efficient options to experiment with and ultimately choose the best one.