Welcome back to this episode of the Stronger by Science fireside chat podcast.

I am your host Greg Knuckles joined as as usual with my temporary guest co-host Eric Trexler. Eric how are you doing?

I'm doing well how are you? I am doing well. So you know we haven't done that many

fireside chats we haven't done one in a while just as kind of a

recap of what we're doing here for new listeners people who haven't listened to a

fireside chat podcast this is not a fitness podcast. We are two people who work in the fitness

industry talking about random stuff. So you send us your questions. We share our hot takes about things wildly outside our

realms of expertise. Try to keep it fun, try to keep it light, and yeah, that's what we're doing so let's launch right into it with a

question that is kind of in our real house so it's not directly fitness related, but we, you know, we read a lot of exercise

science literature, interpret it, that's one of the main things we do for our jobs.

And there was a question about what bothers us the most when we come across it in a study.

So we pull up a paper, something jumps off the page at us and just very much grinds our gears.

So do you want to lead this one off directs?

What things get under your skin?

Yeah, I'd be happy to lead off here.

So you know I'm pretty statistically oriented that's just like the thing

in grad school I really latched on to. It was really looking at methods and

statistics. And so my answer is obviously biased in that direction, but two things that really, really get under my skin.

One is when there are a lot of irrelevant or unwarranted post-talk tests. And so basically very, you know, broad oversimplification here. You your main test you find some interesting effect and in many cases in the models used in our field

You then have to do some follow-up

Comparisons or tests to try to really get to the root of that interesting effect.

And more times than I would like to believe possible, I'll look at a paper and the initial analysis makes sense, they use the right model more or less, and there's a very

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