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When you've got 1000s of decent people applying you can't have enough half-decent sieves. You don't care about the false negatives, you only want to avoid false
by auganov 10y ago
When you've got 1000s of decent people applying you can't have enough half-decent sieves. You don't care about the false negatives, you only want to avoid false positives.
The people that are hurting themselves are companies applying these methods to small applicant pools.
- kafkaesq 10y agoYou don't care about the false negatives, you only want to avoid false positives. You might want to re-examine this assumption more critically. With a high enough false negative rate, you end up burning out your candidate pool (and severely deterring those who "failed" from every applying again). Google themselves discovered this a few years ago when they did a fundamental re-evaluation of their hiring process -- having come to the conclusion that their previous filtering methods were woefully ineffective at predicting actual on-job performance. And specifically went back to their databases to try to re-recruit many of the people who had been "flushed" by the earlier incarnations of their filtering process.