Episode

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Losing fat or gaining muscle can be challenging, and it's this complexity that makes the science of exercise and nutrition intriguing. This episode is our longest yet, covering a broad array of topics including metabolic adaptation and how our body and brain respond to caloric deficits and surpluses.

We also talked about the connection between metabolic adaptation and exercise energy compensation, shedding light on the interactions between the two, and how they make weight management more complex. Statistics are of utmost importance in these endeavors, we touched on how Bayesian stats can help mitigate the challenges of low sample sizes and over-focus on average treatment effect.

My guest for this marathon episode is Eric Trexler, a researcher at Duke University's Department of Evolutionary Anthropology. Specializing in metabolism and cardiometabolic health, he holds a PhD in Human Movement Science from UNC Chapel Hill. Eric has authored numerous papers on exercise, nutrition, and metabolism, is a former professional bodybuilder, and has been coaching in health, fitness, and athletics since 2009.

Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ !

Thank you to my Patrons for making this episode possible!

Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Trey Causey, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar and Matt Rosinski.

Visit https://www.patreon.com/learnbayesstats to unlock exclusive Bayesian swag ;)

Links from the show:

Eric’s webpage: www.trexlerfitness.com

Monthly Applications in Strength Sport (MASS) research review: https://massresearchreview.com/

Eric on Twitter: https://twitter.com/EricTrexler

Eric on Instagram: https://www.instagram.com/trexlerfitness/

Eric on YouTube: https://www.youtube.com/@erictrexler

Eric on Linkedin: https://www.linkedin.com/in/eric-trexler-19b8a9154/

Eric’s research: https://www.researchgate.net/profile/Eric-Trexler

The Metabolic Adaptation Manual – Problems, Solutions, and Life After Weight Loss: https://www.strongerbyscience.com/metabolic-adaptation/

MASS on Instagram: https://www.instagram.com/massresearchreview/

Burn – New Research Blows the Lid Off How We Really Burn Calories, Lose Weight, and Stay Healthy: https://www.amazon.com/Burn-Research-Really-Calories-Healthy/dp/0525541527

Causal quartets – Different ways to attain the same average treatment effect: http://www.stat.columbia.edu/~gelman/research/unpublished/causal_quartets.pdf

How to Change – The Science of Getting from Where You Are to Where You Want to Be: https://www.amazon.com/How-Change-Science-Getting-Where/dp/059308375X/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=&sr=

LBS #61 Why we still use non-Bayesian methods, with EJ Wagenmakers: https://learnbayesstats.com/episode/61-why-we-still-use-non-bayesian-methods-ej-wagenmakers/

LBS #35 The Past, Present & Future of BRMS, with Paul Bürkner: https://learnbayesstats.com/episode/35-past-present-future-brms-paul-burkner/

Timestamps

00:00:00 Episode starts

00:04:31 How did you come into the world of sports and nutrition sciences ..

00:14:39 Eric's research at Duke university

00:32:12 Metabolic adaptation

00:47:46 Correlation between people who can gain weight and lose weight easily

01:03:18 What are the current questions regarding metabolic adaptation you are looking for?

01:21:58 Emergence of Bayesian stats in research

01:51:00 Public outreach

02:03:00 If you had unlimited time and resources which problem would you solve?

02:04:37 If you could have dinner with any great scientific mind ..