The first study of why people struggle to solve statistical problems reveals a preference for complicated rather than simpler, more intuitive solutions -- which often leads to failure in solving the ...

Finding a convincing explanation of a complex issue is no easy task. The decision about what qualifies as the "best" solution is inevitably subject to biases and approximations. Coupling statistics ...

Industry needs holistic statisticians who are nimble problem solvers. They need to be able to work smoothly on teams and to communicate effectively about their work. Many of industry's statistics ...

What is the difference between statistics and data science—and, perhaps more importantly, why do we have two fields with what seems to be the same focus? The best way to understand the emergence of ...

Random constraint satisfaction problems (CSPs) form a class of models in which a collection of discrete variables is subject to a set of randomly generated constraints. Inspired by paradigms in ...