A paper out of Indiana University analyzed millions of Twitter posts in relation to the Dow's performance from August to October 2008. According to its findings, the amount of tweets that were categorized as "calm," or lacking in extreme emotion, matched up with the Dow's turns three days in advance, with 86.7% accuracy.