Best of 2010: Black Authors Choose

As various publications release their best of 2010 lists, Salon.com proves no different. Their “Authors Choose Their Favorite Books” features two African American authors. Of course, I viewed their replies first.

While I have no current interest in reading Wes Moore’s selection, Mandela’s Conversations with Myself, I did take a moment to re-read his book summary for The Other Wes Moore. I even viewed the book trailer and figured that I would tell my older sister about it. This seems like her type of book:

 

Two kids with the same name were born blocks apart in the same decaying city within a year of each other. One grew up to be a Rhodes Scholar, army officer, White House Fellow, and business leader. The other is serving a life sentence in prison. Here is the story of two boys and the journey of a generation. In December of 2000, the Baltimore Sun ran a small piece about Wes Moore, a local student who had just received a Rhodes Scholarship. The same paper ran a huge story about four young men who had killed a police officer in a spectacularly botched armed robbery. The police were still hunting for two of the suspects who had gone on the lam, a pair of brothers. One of their names was Wes Moore. Wes Moore, the Rhodes Scholar, became obsessed with the story of this man he’d never met but who shared much more than space in the same newspaper. Both had grown up in similar neighborhoods and had had difficult childhoods.

James McBride also shares that his favorite book of 2010 is Proofiness: The Dark Arts of Mathematical Deception by Charles Seife. Since I’m not a fan of mathematics, I think I’ll pass on this one, even if McBride does note that “It’s very well written. It barrels right out the gate with a burst of wonderful writing and just keeps on going.” Maybe it does.

Happy reading, y’all.

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One thought on “Best of 2010: Black Authors Choose

  1. “I’m not a fan of mathematics.” That’s exactly why you should read this book. An ability to determine, on some level, the credibility of ostensibily ‘objective’ statistics is critical when analyzing public policy, science, medicine, economics for starters.

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