Biased: The New Science of Race and Inequality,Ā Jennifer Eberhardt
Although the subtitle says it’sĀ science, in many places it’s more history, autobiography and anecdote. There are some bits of science — brief explanations of studies and statistics — before it launches off back into historical context or modern contextualisation, but the science is rather thin on the ground.
It’s notĀ bad because of that, but it wasn’t what I was looking for. I think others might also be expecting more focus on bias in general, through not noting that subtitle: it really is just about race relations, and 99% of it is about race relations specifically in the US. I’d have loved to see more general explorations of bias and the science of bias, and how it relates to humans encountering the “other” in all kinds of ways.
I imagine for a US reader, particularly a white US reader, this could be pretty revelatory. For me, there was some context I wasn’t aware of, some anecdotes that were interesting, but it wasn’tĀ new to me, and none of the science that Eberhardt does explain was surprising to me. It’s adaptive for people who are alike to stick together; no surprises there.
There is some minor attempt to pave a way forward in this book; a few mentions of initiatives that have worked and what might underpin them. But mostly it just lays out the problem.
I haven’t read the book, but I did have the opportunity to attend a talk by Jennifer Eberhardt last year, and it was very interesting. Her personal stories were very good, but I agree, I was less persuaded that actual “science” was involved in most of her topic.
Lisa @ Bookshelf Fantasies recently posted…Book Review: The Boy in the Striped Pajamas by John Boyne
Yeah, she definitely has a very worthwhile perspective, but she leaned a lot on quite old science when she did mention it, for example the IAT (which has been criticised quite heavily). I’d really have liked her to engage a bit with why she thought those tests really do reveal prejudice, for instance.
Nikki recently posted…Review – Biased