SAS compared mood scores and conversation volume with official unemployment statistics to see if upticks in those topics were indicators of spikes in unemployment. The analysis revealed that increased chatter about cutting back on groceries, increasing use of public transportation and downgrading one’s automobile could, indeed, predict an unemployment spike.