Voter Preference in U.S. Elections and Public Policy

Intuality / Voter Preference in U.S. Elections and Public Policy

Voter Preference in U.S. Elections and Public Policy

IntualityAI is being used to predict voter preference in both national and State U.S. elections and in public policy issues.

IntualityAI generally confirms polls consensus and often is contrarian to consensus, with a high success rate. For example, the 2016 U.S. General Presidential election demonstrated the ability of the IntualityAI to predict election outcomes contrary to most polling data and media reporting. The chart shows voter preference predicted on September 22, by day, through to Election Day, November 6. The input data were daily polling values used to produce daily predictions going forward from March 5, 2016, exclusive of Electoral College accounting. Near-term predictions made on September 22 favored Clinton with Trump surging ahead on October 7, later being termed “the October surprise”.

For the 2018 U.S. Midterm Elections, our partner CivixAI used IntualityAI to make predictions of outcomes in 16 races including thirteen (13) U.S Senate elections and three (3) gubernatorial elections. CivixAI made its final predictions in September 2018 and correctly predicted the outcome in 13 of the 16 elections covered, representing a prediction accuracy rate of 81.25%, and voter sentiment in 14 out of 16 races covered, or an 87.5% correct prediction of voter sentiment.

The value of these IntualityAI predictions of voter preferences is considerable to campaign committees and organizations pursuing public policy decisions.