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Paul Brown's avatar

The gender / income data was interesting. Is there really much value in the data when using total averages, and not even specific to industries or roles? I can say I’ve never had a hiring budget large enough to hire a minority female in finance, but white men are very cheap in comparison. I’d be interested to see how much this gap changes by industry / role.

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Benjamin Yeoh's avatar

I’ve learned something new again. If you could what would be the top diseases or conditions you would look to solve for ?

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