MinneFRAMA

Good analytics leads to better decisions. Great analytics pushes beyond improved choices to enhance how we view a phenomena. Regression to the mean consistently hinders good analytics. Regularly recognizing (sniffing) and eliminating (snuffing) regression to the mean will change how you evaluate both programs and your coworkers behaviors.

In this talk, Jason will outline what analyses are most susceptible to regression to the mean,  (i.e. reversion to mediocrity) and how they can be reworked to provide more accurate measurement. Three real world examples will be weaved into this exploration along with perhaps the most important lesson - avoiding Daniel Kahneman’s regression fallacy.