There's a word at work at the moment called incremental that everyone is starting to like, really misuse. When is misuse of it kind of quit on quite dangerous? And when is it ok? Because it's still achieving. The stakes of the decision are a factor in how much uncertainty you can make that decision with. As analysts, we get stuck in this feeling of like, if we do this wrong, it's really bad. But maybe it's not so bad. If you're listening, maybe go back, take the last seven minutes, clip it, put it on your desk top, and every time you're running into that kind of issue, just replay that, cause i think
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.