Great job with Bayes Impact and thanks for the interesting post. "So moving from a 20% fraud reduction to 50% will block about 200 additional fraudulent loans

Great job with Bayes Impact and thanks for the interesting post. "So moving from a 20% fraud reduction to 50% will block about 200 additional fraudulent loans and also 200 honest loans. Is that okay?" From the accompanying chart it looks more like ~700 additional honest loans blocked? Any information about which threshold they picked? Looks like a difficult decision for a non-profit, from the chart it looks like about 15% of applications have been fraudsters but model accuracy is obviously limited given the available features.