Health Insurers Are Mining Your Restaurant Reviews

In this episode, Lucas and Luna explore a surprising new frontier in health insurance data collection: public restaurant reviews. They dive into how insurers are using natural language processing to analyze Yelp and Google reviews for signals about your lifestyle—think frequent mentions of fried food or late-night fast food runs—and how that data can influence your premiums or coverage decisions. With concrete examples and a look at the growing data brokerage industry, they discuss what this means for consumer privacy and the future of actuarial science. Lucas breaks down the technical side of sentiment analysis and how insurers are partnering with data aggregators, while Luna challenges the fairness of being judged on a public post you never thought would reach your insurer. They also touch on the regulatory landscape, including recent state-level privacy laws, and offer practical tips for protecting your digital footprint. Tune in for a eye-opening look at how your casual review of a taco stand might just end up in a health risk score. #HealthInsurance #DataPrivacy #RestaurantReviews #NaturalLanguageProcessing #ConsumerData #ActuarialScience #DataBrokers #PrivacyLaws #Yelp #GoogleReviews #LifestyleData #HealthcareCosts #InsurancePremiums #Economics #Technology #BigData #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo