In high-stakes situations we cannot measure success by degrees. It’s a boolean all-or-nothing. They see it or they do not. Attracting attention is all that matters.
I'm loving this series of posts so far, RJ. I'm also a huge fan of Gabrielle Merite's work. To your point, if we know--and don't we, as data practitioners, all know this on some level?--that data itself doesn't sway stakeholders, and that humans are not particularly logical (as Rory Sutherland suggests in Alchemy, which you mentioned in the first of these posts, I believe), shouldn't our aim be, then, to attract their attention and illicit an emotional response? "But we should avoid bias," many say. No, I say, we should have a very specific point of view and shout it from the rooftops. Because that might actually work.
I'm loving this series of posts so far, RJ. I'm also a huge fan of Gabrielle Merite's work. To your point, if we know--and don't we, as data practitioners, all know this on some level?--that data itself doesn't sway stakeholders, and that humans are not particularly logical (as Rory Sutherland suggests in Alchemy, which you mentioned in the first of these posts, I believe), shouldn't our aim be, then, to attract their attention and illicit an emotional response? "But we should avoid bias," many say. No, I say, we should have a very specific point of view and shout it from the rooftops. Because that might actually work.