Howard Harrell
speaker
1,260 appearances
4 recordings
1 series
first heard May 2026
last heard 23 Jul
Howard Harrell’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 4 in all, peaking in Jul 2026 with 2.
Appearances
And for listeners that don't want to muddy their hands and the philosophical disputes between Bayesians and Frequentists, which are as long-lasting as probably the Protestant and Catholic religious wars in the Western world, I think the key takeaway for those listeners is to say, guys, you have evidence.
And evidence is all that which can change how much confidence you place in certain beliefs you have about.
The world beliefs meaning things that you think are true about the world.
Before looking at the evidence, you have a certain level of belief in these views.
And then you look at the evidence, the evidence interacts with those beliefs.
It changes it up, changes them down, or it changes the views that you have.
What Bayesian analysis can allow you to do is it applies numbers to that process you're engaging in.
So like Dr.
Harrell is saying, if you encounter a study, whether it be a diagnostic test in the lab or whether it be a study as you're trying to critically appraise a topic, it always needs to be interpreted interpreted in the context of how you think the world works.
You cannot just interpret it in a vacuum.
And it is only once you interpret it in that way, the hope that you are following a more rational way of approaching evidence and coming to hold beliefs about the world.
Yeah, it's a confusing way it's taught, unfortunately, in medical school, where they give you an evidence hierarchy and they don't even tell you what the y-axis is of the evidence hierarchy.
It's better evidence for what.
And what it usually is stating is it's better evidence for making general population level claims, typically causal claims, right?
And that's separate from the kinds of particular causal claims that you will
endorsed when you're saying, hey, we need to give this medication for this patient in labor.
And I can draw general evidence, but I'm contextualizing for this case.
And so it leads to these misconceptions that are completely misguided.
But really meta-analyses is classically taught as this incredibly high quality, synthesized source of general knowledge that can give you population level evidence about the average patient.
The average content.
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