There's a way to skew the representation of data in just about any way imaginable. You can change sample sizes, adjust test criteria, and even replace tests whe

There's a way to skew the representation of data in just about any way imaginable. You can change sample sizes, adjust test criteria, and even replace tests when they don't generate the desired result. I think it's obvious that you don't need to be an ivy league drop out to run a successful start up. However, representing data this way portrays the image that this stereotype actually hurts the start up model - which I doubt is true. I'm not speaking quantitatively - just from my sense of logic. If the goal of the article is to promote non ivy league drop outs to found companies, then I'm all for it. If it's trying to convince us that ivy league drop outs perform worse, then I don't buy it. People tend to drop out to start a company for a reason - and that reason is usually boredom.