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
Harold just talked about, you will see, like you said, Dr.
Harold, the hubris of saying that, hey, these things worked, these contexts, and there's this one trial that shows that it didn't, but look at all these other trials that show it doesn't.
They're just making that inference.
straight to it will work here and it will work very well in our context in the United States.
And once you frame it that way, you recognize how much burden of proof they're going to have to meet to make that strong of a claim.
And I think that is sometimes lost because we look at the shiny label of, oh, this is a meta-analysis.
And it just shows that when you the appropriate use of a meta-analysis is going to be hopefully when you are aware of what direction the data is going already, and you just want to quantitate the magnitude when there is general homogeneity of the trials that you're trying to synthesize and there's clear quantifiable outcomes.
But for all sorts of reasons in the fields of pediatrics, psychiatry.
Certain portions of internal medicine and OBGYN, we have heterogeneous data.
The directionality is the very thing that we are disputing.
And there's a whole range of study quality.
And so the devil is truly in the details when we make meta-analyses and can't just trust what an AI tool tells you about the findings of a meta-analysis because it can just be homogenizing these truly heterogeneous findings.
That's I think a really valuable point that I learned from you, Dr.
Harold, which is that if the finding is really there, it's robust.
It will show up with multiple methodologies.
Don't be afraid to test it.
There was this conversation once with someone who was teaching us critical appraisal in my fourth year of medical school.
Someone asked, Will open evidence and other AI tools make critical appraisal irrelevant?
He said with so much joy in his voice, No, it will become even more important because now it is even easier to get full.
All the more concerning to get good at these sorts of things.
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