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>In the emerging health and wellness markets, startups like Oscar intimately disrupt and destroy their customer's lives through incorrect datasets where an A/B testing mentality results in exorbitant fees, angry hospital administrators and patients with no recourse except to bankrupt themselves paying bills they didn't expect.

This doesn't make sense to me. How is an A/B testing mentality at fault for this? It has nothing to do with the incorrect datasets... you don't A/B test your data structure... I hope. A/B tests are blamed later in the article too, not really sure why.




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