Sometimes confounding factors are things that people have identified and don't know how to adjust for. Sometimes there are things that are actually unknowable, such as death due to injury in a formula-fed baby. There might be other confounding factors, like child abuse or caretakers being more careless with the children than the mothers. But i think it points to the importance of asking questions like, can we get experts in the room to talk about this data? Right? Soit's an example. I'm certainly not an expert in this, but do find it extremely interesting.
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.