“After 22 iterations of that process, Beauchamp’s algorithm managed to find a mix of topics, represented in a particular trio of statements, that improved Obamacare approval ratings 30 percent, from neutral (five points) to 6.5. Topics related to laws, rights, and government tended to turn people off Obamacare, while sentences related to employer mandates or pre-existing conditions boosted approval.”