It's the state of the bottom of our industry. Those 52 programmers aren't a representative set of the general population. Those 52 programmers are the ones th

It's the state of the bottom of our industry. Those 52 programmers aren't a representative set of the general population. Those 52 programmers are the ones that can't catch on for any jobs so they keep applying over and over. It's a sampling bias. And by the way, this happens for most industries, not just technology. McDonald's has the same problem. Their majority of applicants fail at tasks like having the literacy to fill out an application form or getting out of bed and showing up to work. This doesn't mean the majority of the population is that deficient, just the majority of deadweight floating around the would-be job pool. More generally stated, the worse an applicant is for his desired job, the more times his incompetence will attend interviews to be seen. Quality performers in any business get hired quickly and don't stay in the interviewing pool. So equivalently, any interview pool will consist mostly of bad candidates. We need a name for this effect so that we can just quote it whenever this topic comes up, like Dunning-Kruger. Anyone got a good suggestion? Joel Spolsky was the first to set it out well and become widely read[1] , but Spolsky's Law is already used for the Law of Leaky Abstractions. [1] http://www.joelonsoftware.com/items/2005/01/27.html http://www.joelonsoftware.com/items/2005/01/27.html