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181 points andrewstetsenko | 1 comments | | HN request time: 0.204s | source
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jgneff ◴[] No.41896570[source]
I think this study is related to two books I read this summer: Burn, by Herman Pontzer, presents his "constrained energy expenditure hypothesis," and Exercised, by Daniel E. Lieberman, discusses his "costly repair hypothesis."

Together, they try to explain why exercise can force your body to stop using its energy to destroy itself (inflammation, autoimmune diseases) and instead use its energy to restore itself (releasing antioxidants, repairing damage).

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profstasiak ◴[] No.41904068[source]
this book is pseudoscience though. https://mynutritionscience.com/p/exercise-weight-loss

there are more good critique online, sorry busy right now to find it.

But please don't spread this myth.

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1. QuantumGood ◴[] No.41904473[source]
One formula for getting a publisher interested in your book is claiming new data that intuitively makes sense. Consultants will list things that many people believe that contradict established science or wisdom, and then there is a search for data that can be gathered into a counter-argument to find a book topic that a publisher will put marketing dollars into.

Pontzer contends “[exercise] just won’t do much for your weight" because "we naturally compensate for exercise by reducing non-exercise activity expenditure (NEAT) and resting metabolic rate (RMR)". That excercisers exercise less when they're not specifically exercising.

Ward says Pontzer underestimates exercise's role, misinterprets energy compensation and overemphasis anecdotal evidence, and cherry-picks data by choosing studies that primarily show minimal changes in Total Daily Energy Expenditure (TDEE) and weight loss with increased physical activity.

Ward points to a broader range of studies that demonstrate significant increases in TDEE and weight loss in individuals who engage in moderate to high levels of exercise, arguing that this evidence indicates exercise can be a substantial factor in energy expenditure and weight management.

Ward specifically points out

  Pontzer told me “the distinction between confounders and mediators is largely conceptual” and “They would be treated the same in stats analysis such as the one used”, but any statistician would argue the differences are defined and vitally important. Confounders interfere with the causal pathway we’re interested in; mediators are part of the causal pathway we’re interested in. Hence, when statistically adjusting and removing the effect of different variables, we do this for confounders, not mediators – thus removing the interference.