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Jackson Hayes

DCS104

Professor Shrout

October 4, 2018

Differences Do Not Matter Writing

Michael E. Martell’s Differences Do Not Matter: Exploring the Wage Gap article intrigued me through his argument and his ways of collecting data. Martell persuades his audience by explaining his process of how he collected his data. He compiled all previous data surrounding his topic into a “new and improved” data set. In his article, he explains the the labor discrimination and pay gap between gay and heterosexual men. Through the use of tables, Martell is able to clearly portray the unjust statistics behind being a gay man in the workforce. I was also intrigued by the way data can easily vary based on different variables. For example, Martell explains that some of his data might not even be completely accurate because of the the low labor force of same-sex behaving men in the first place. Similarly, Martell explains how he classifies someone as “same-sex behaving” can drastically change his results. For example, if he were to change one of his four classifications, his data could have held entirely different results. Overall, I found this article very informative not only about the pay gap between same-sex behaving men versus heterosexual men, but also how classifications and lack of data representation can affect the results of our data.