Mike's latest project involves a deep dive into the mysteries of sock drawer dynamics and the societal implications of missing socks.
1. Develop a machine learning model to predict sock disappearance rates.
2. Conduct a series of in-depth interviews with laundry enthusiasts to gather insights on sock behavior.
1. Data collection via sock drawer surveillance.
2. Sock sorting and categorization using a custom-built sorting algorithm.
Our research suggests a strong correlation between sock disappearance rates and the number of people in the household.
Our findings have been published in the Journal of Sockology and have garnered significant attention from the scientific community.
Project 1: The Great Sock Counting Conundrum | Project 3: Sock Puppet Theater