Want diversity? Forget being unbiased

Spirit of the Times: "What do you do to ensure that your analyzes are unbiased?"

Me: “I don't strive to make unbiased analyzes”

Spirit of the Times: "But aren’t you afraid that there are too many assumptions behind your analyzes and recommendations then?"

Me: “No. If anything I'm afraid that there are too few assumptions behind my analyzes and recommendations.”

Spirit of the Times: "I'm not sure I understand...?"

Me: "When people hear about Qvest, they often think that the data you get when you let employees ask each other questions is unbiased"

Spirit of the Times: "And that's not the case?"

Me: "No. When you let employees exchange questions and answers about important topics, you don't get unbiased and unambiguous data, but rather multi-biased and diverse data."

Spirit of the Times: "And that's a good thing?"

Read why my answer is YES in the full version of my conversation with the Spirit of the Times about her notion that algorithms and analyzes should be unbiased in my latest LinkedIn article:

Want diversity? Forget being unbiased