After reading this chapter I have learned a lot more about Statistical Discrimination or "racial discrimination" as it says in the book. "Statistical discrimination is likely to be wrong in the specific case at hand and has discrimitory affect on a group" (107). I learned for people with criminal backgrounds are better off having employers see there background information rather than seeing that their race is black and Hispanic and judging soully off of race. Think this was a great piece of information that can be useful in the future. And what he says towards the end about information being important, " Economist study what we do with it, and, sometimes, more important, what we do without it" (125).
The other example he used with "how we use information" was insurance companies, mainly health insurance. He gave an example that happened to him how they made him do all these test to see if he's likely to be sick in the future and his family's health history. It was just interesting to read how insurance companies deal with cost by gathering as much information on people as possible. In money saving workd that makes sense, but I don't think that's right at all for these insurance companies to try to dodge people who they know will become very sick in the furture. It's that question of "when is it too much information being collected", where do you draw the line?
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