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Sigma Nutrition Radio

What is Regression to the Mean? (SNP31)

Sigma Nutrition Radio

Danny Lennon

Sigma, Dietetics, Evidencebased, Nutrition, Training, Health & Fitness, Science, Diet, Fitness, Evidence, Bodybuilding, Health

4.8626 Ratings

🗓️ 30 July 2024

⏱️ 9 minutes

🧾️ Download transcript

Summary

Regression to the Mean (RTM) is a statistical phenomenon where extreme values on one measurement tend to move closer to the average on subsequent measurements due to natural variability. In this Premium-exclulsive episode, Danny gives an explanation of this concept with some examples in nutrition research.

Transcript

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0:00.0

Hello and welcome to Sigma Nutrition Radio. My name is Danny Lennon. You are very welcome to the podcast. Indeed, this episode is a premium

0:22.5

exclusive episode, meaning that if you want to listen to the full episode in its entirety,

0:27.5

you will need to be listening on the premium feed of the podcast. So if you are a premium

0:32.3

subscriber, make sure you have got the premium feed set up on whatever app you choose to listen on. And if you have any

0:39.0

issues, let me know. If you are someone who is listening to a preview and you are interested

0:43.8

in joining Signamentation Premium, all the details will be linked in the description box

0:48.5

wherever you're currently listening. This episode is one that continues on some previous premium exclusive episodes that we've done before,

0:57.1

where we've taken a concept in nutrition science research and tried to explain that in a hopefully

1:03.9

useful way that allows you to really understand what this term means, its importance within

1:09.4

nutrition research, and so that when it comes up

1:12.2

in either future podcast episodes or in your own reading, or when you see someone online

1:17.5

mention this term when there's a discussion about a specific study or evidence in general,

1:24.7

you will be able to immediately not only understand what that means,

1:28.2

but understand the appropriate way to apply the principles of that, or how it connects with

1:35.6

the particular topic being discussed, or to be above a deeper insight into some of the discussions

1:41.2

of that said paper. So we've done a few of these in the past. So for example,

1:46.3

one was on stable isotopes, what that means, how they're used in nutrition science research,

1:51.3

and so on. And you'll find a number of them in the premium feed. So today, the concept I wanted

1:58.5

to discuss is a statistical one that is really useful to understand

2:03.5

because it can explain some of the results we might see. And so we need to be aware of what that is

2:08.9

and if someone is making a certain critique that uses this term that we know what they're talking

2:14.8

about. And then of course, as the title of this episode

...

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