Last week I read an article from the MIT Technology Review that looked into what causes people to make mistakes. The approach was one I hadn’t seen before: it used data mining on a set of chess games. Their rationale was that:
As spoiled by the title, complexity was the main factor whenever a player made a mistake.
*The bottom line is that the difficulty of the decision is the most important factor in determining whether a player makes a mistake. *
So what’s the big deal?