Missouri Rising Action - New Predictive Modeling Data From Missouri Rising Action Finds Hawley With Six Point Lead Over McCaskill New Predictive Modeling Data From Missouri Rising Action Finds Hawley With Six Point Lead Over McCaskill – Missouri Rising Action

New Predictive Modeling Data From Missouri Rising Action Finds Hawley With Six Point Lead Over McCaskill

By MRA staff|August 23rd, 8:02am
New Predictive Modeling Data From Missouri Rising Action Finds Hawley With Six Point Lead Over McCaskill

JEFFERSON CITY, MO – A new predictive ballot model, produced by WPA Intelligence (WPAi) on behalf of Missouri Rising Action, reports Attorney General Josh Hawley with a six-point raw advantage (53-47) over Senator Claire McCaskill among likely 2018 voters. The Missouri Senate ballot model, built in August 2018, used predictive modeling conducted among the 4,101,062 registered voters in Missouri, enhanced by consumer and publicly available data, vote history, and demographic information, to produce a predictive model for the general election in November.

“Our latest ballot model demonstrates a significant raw advantage for Hawley among individual voters, and Missouri voters are primed to retire Claire McCaskill in favor of a senator who will represent their interests and values, not those of Chuck Schumer and the national Democrat Party,” said Brian Rogers, Executive Director of Missouri Rising Action. “New reports about she and her husband profiting millions from federal subsidies, taking advantage of tax loopholes, and using Cayman Island tax havens, are putting her record in full view for Missouri voters – and they want a change.”

WPA Intelligence used predictive modeling conducted among the 4,101,062 registered voters in Missouri. Their models are enhanced with all available data on registered voters in Missouri. Consumer data was available for 2,899,939 of these voters. Vote history and demographic information were used to score the 1,201,123 voters without consumer data.

 

Read the memo from WPAi here for full details on the survey and its methodology.