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Armed with data from a vendor that supplies businesses and political campaigns, the three canvassers carry printouts of addresses most likely to belong to the uninsured. Enroll America spokesman Justin Nisly says the initial data set included 230 million people across the USA. The group surveys more than 10,000 of them and used that information "to fine-tune the model" used to predict who's most likely to be uninsured. Among the publicly available information used: age, race, marital status, approximate income, voting history and location.
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