The Benefits of Statistical Noise
Statistical noise is nearly universally considered an impediment to sound decision-making. But what seems like noise to those shaping the rules may actually be critically important to those on the receiving end.
?>
Ruth Schmidt is an associate professor at the Institute of Design (ID) at the Illinois Institute of Technology. Her work sits at the intersection of behavioral economics and humanity-centered design, combining strategic design methodologies and behavioral insights to inform effective, ethical solutions for complex system challenges. Prior to this she was a senior leader at Doblin, an innovation consultancy within Deloitte, where she led the development of applied behavioral and design methodologies to help clients develop innovation solutions and embed innovation processes more effectively within their organizations across health care, financial services, education, and civic domains. She has a master’s in design strategy from the Institute of Design.
Statistical noise is nearly universally considered an impediment to sound decision-making. But what seems like noise to those shaping the rules may actually be critically important to those on the receiving end.
How might our sense about what we should solve, or even what qualifies as a problem worth solving, be biased by how we think about what we can solve?
To what extent are we inadvertently limiting the range of problems for behavioral science’s attention?