In this column, survey methodologist Murray Edelman, one of the creators of the “Exit Poll,” speaks with Harvard Data Science Review’s Xiao-Li Meng and Liberty Vittert. The invention of political polling provided one of the most visible and high-stakes roles for the use of sampling in the history of statistics. Edelman discusses some of political junkies’ favorite topics from a data science perspective, from the role of “shy voters” and network “calling” of races to the difference between “polling” and “projections” and the ever-present possibility of controversy. CONTINUED
Harvard Data Science Review