Such business would likely fail. Filtering by less significant factor is meaningless, when there are other factors that are way more important.<p>It&#x27;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.<p>If a furniture assembly business has a <i>giant</i> 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&#x27;d better look at something more relevant, like past experience (huh), individual physical shape or spatial intelligence.