In chapter 7 of Poor Economics, the authors use statistics to introduce and back-up their main points in the chapter. For example, a couple of paragraphs into the chapter, the authors bring statistics on the owed amount of rupees of renting a cart for one day in Chennai, India. This style of writing a main idea in one-to-two sentences, and then spending six sentences on statistics to back up the idea is seen throughout the chapter.
This chapter in Poor Economics focuses on microcredit that is found in the South Asian area of the world: more specifically Bangladesh and India. More specifically, the chapter focuses on the problems that microcredit faces in these areas. I found it surprising that even though microcredit is offered to poverty stricken families, most still choose moneylenders whose interest rates are ridiculously high. On that note, the interest rates of moneylenders came as some surprise as well. I knew that they were high, but I never realized they went up to 70-80% in most cases. That was one good example of statistics that the authors used throughout the chapter. I also like the fact that the authors brought in more social and psychological reasoning, instead of just pure economic statistics, to back up their claims on why poor families choosing moneylenders over MPIs. It made the chapter more rounded and less biased.