Can racism, sexism, and other biases be quantified?

September 11, 2018

When a Starbucks employee recently called the police on two black men who asked for a bathroom key but hadn’t yet ordered anything, it seemed a clear-cut case of racism leading directly to unfair treatment. Many outraged white customers publicly contrasted it with their years of hassle-free Starbucks pit stops.

But from a scientific perspective, making a direct connection between people’s biases and the degree to which they treat others differently is tricky. There are thousands of ways people stereotype different social groups—whether it’s assuming an Asian student is good at math or thinking an Irish colleague would make a good drinking buddy—and with so many variables, it’s incredibly challenging to trace how someone is treated to any one particular characteristic.

“There is a tendency for people to think of stereotypes, biases, and their effects as inherently subjective. Depending on where one is standing, the responses can range from ‘this is obvious’ to ‘don’t be a snowflake,’” said Berkeley Haas Assoc. Prof. Ming Hsu. “What we found is that these subjective beliefs can be quantified and studied in ways that we take for granted in other scientific disciplines.”

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