Such business would likely fail. Filtering by less significant factor is meaningless, when there are other factors that are way more important. It's probably t

Such business would likely fail. Filtering by less significant factor is meaningless, when there are other factors that are way more important. It's probably that one biological gender has an some tiny edge over another here - in statistically significant way - but in practice I think individual differences are likely to be order(s) of magnitude more important. Not like I have any researches to quote, though. If a furniture assembly business has a giant candidate list (like, millions of applicants) they gender may start having some statistical significance and get useful as a metric. Huh, if they have countless myriads of candidates, then even something as silly as zodiac sign may become useful - if there are statistics about those, of course. But if they have, say, half a hundred applicants, they'd better look at something more relevant, like past experience (huh), individual physical shape or spatial intelligence.