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We build models that predict P(payment charged back as 'fraudulent') and then let small random samples through in order to test the accuracy of our predictions.
by pc 6y ago
We build models that predict P(payment charged back as 'fraudulent') and then let small random samples through in order to test the accuracy of our predictions. This calibration means that we can compute a pretty accurate "true" total from those we have blocked.
- cosmie 6y agoOut of curiosity, when a transactions is part of one of those random samples and is flagged as fraudulent, are the costs/impacts to the merchant the same as any other fraud chargeback/dispute (particularly those that don't use Stripe Chargeback Protection)?
- _Microft 6y agoThe question was interesting. Too bad we did not get an answer here.