Many (most?) companies do. They make the tradeoff that the false negatives (those from non-targets who would be hired) are worth losing out on in favour of the

Many (most?) companies do. They make the tradeoff that the false negatives (those from non-targets who would be hired) are worth losing out on in favour of the smaller amount of applications to process because among that smaller pool they have a higher true positive (those from targets who do get hired). In stats/ML speak, they favour high precision [0]. [0] https://en.wikipedia.org/wiki/Precision_and_recall https://en.wikipedia.org/wiki/Precision_and_recall