or the other (5). Next, to control for variance, we apply a z-transformation on change scores to create a normal distribution. We classify the resulting distribution into three bins: Low, Medium, and High. The interpretation of what stance the Low and High bins represent is strictly topic dependent. The Medium bin consists of z-transformation values between -1 and 1. These are the people whose belief change is less than one standard deviation from the transformed mean. The Low bin contains z-transform scores of less than -1 and translates to belief changes of a large magnitude (more than a standard deviation from the mean) in a negative direction, where again, the meaning of “negative” is dependent upon how the question was framed. The High bin contains z-transformation scores of greater than 1 and translates to belief changes of a large magnitude in a positive direction. For example, the stance question [ *Should the death penalty be allowed?’*]{} has “no” at the -5 end and “yes” at the +5 end of the likert scale. A Low bin is indicative as moving in the direction of the “no” stance and High towards the “yes” stance.

Bins were also derived for the personality traits, 