Two Ways of Thinking about Election Predictions and What They Tell Us About 2018
KEY POINTS FROM THIS ARTICLE — Two approaches to forecasting — one formally statistical, one rigorous yet flexible handicapping — produce different tools that we can use to evaluate the battle for control of the U.S. House in the 2018 midterms. — The Crystal Ball and other political handicappers use a “qualitative” method to generate ratings of individual seats using election news, candidate evaluation, and some hard data. Others use quantitative modeling to produce probabilities of how likely it is for one party or the other to win each House seat. — The quantitative model described below is more bullish on the Democrats’ House prospects than the Crystal Ball’s race ratings, but both indicate considerable uncertainty about which party will win a House majority this November. — Those following this year’s House elections would be wise to take into account both qualitative race ratings, like those done by the Crystal Ball, as well as quantitative models, like the model described below, when assessing the race for the House. Introduction To understand the differences between quantitative, data-driven predictions and those made from traditional, data-influenced handicapping, one should direct their attention to the names of two websites: Sabato’s Crystal Ball at the University of Virginia Center