i wonder if that's a kind of an opportunity for analysts to say, when you're visualizing data, how can you visualize the uncertainty? And then you're not saying, i'm representing the uncertainty. I think it's valuable to point out to people that there are other sources of uncertainty when you're trying to quanify something. We can't always know all the ways that we don't know something. But ultimately speaking, i think it's actually very valuable for people to understand, like, the context in what you're doing some research.
Our podcast junkie co-host heard the following statement on another podcast a while back when he was out for a jog: "I actually think the word 'uncertainty' is used in English in a very different way than the word 'uncertainty' is used in statistics." He almost ran into a tree (causation is unclear: he's not known for his gross motor skills, which may have been a confounder). Not only is that quote, essentially, the theme for this episode, but the person who said it, Dr. Rebecca Goldin from George Mason University, was our guest! And we are absolutely CERTAIN that it was every bit as enlightening a discussion as it was a fun one! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.