Bart claimed that his weight in insensitive to his food intake, because a stochastic model of his body weight can not be rejected.

As a dietician, I beg to differ with this conclusion. The fact that one can construct a stochastic model that envelops the observed evolution of his bodyweight is by itself not very informative. Many finite datasets of a quantity that is known to be physically driven can probably mathematically be described by a stochastic model.

If a few years from now Bart’s bodyweight increases to outside the 95% confidence interval of this stochastic model, the current model would be falsified. No problem. It’s probably possible to construct another stochastic model, tested not on the period 1978 -1992 (1880-1935), but e.g. on 1978 – 1994, or whatever period works, to obtain an even broader envelope of potential outcomes. (After all, if the model is based on a period where Bart’s personal energy balance already led to an even bigger increase in his bodyweight, it will probably widen even more in potential outcome). So even if Bart wanted to try to falsify this hypothesis by e.g. eating as many brownies as he can over next years, chances are the hypothesis could be easily amended to still encompass his new weight.

Conversely, if the model was tested on 1978 – 1988 (1880 – 1920), what would it have looked like? Would the upswing in Bart’s bodyweight in recent years still be within the 95% confidence interval? Perhaps it would, but I wouldn’t bank on it.

In any case, the stochastic model predicts equal chances of Bart’s body weight to increase or decrease, irrespective of Bart’s eating, sporting, and other relevant habits or state of health. That runs counter to the accumulated knowledge of the human body, not to mention to conservation of energy. How much did you weight as a baby? According to the stochastic model, Bart’s body weight could as easily have turned out to be 60 kg rather than his current 100 kg, despite his eating habits. That’s preposterous.

I don’t claim to be able to predict Bart’s bodyweight to the gram, but I do claim to be able to make a more skillful prediction than this stochastic model. Namely, if I’d have access to data on his relevant habits (eating, drinking, sporting, sickness, state of metabolism, etc), I could explain within certain boundaries (much tighter than the stochastic model boundaries) how his bodyweight changed over the past decades, and why.

What’s worthwhile in this context is to have an explanatory model/framework for your bodyweight. If you change your eating habits to such and such, how is your bodyweight likely to respond? That’s an important question. An answer that your bodyweight is insensitive to what you eat, and that it could vary anywhere between -25 kg and +25 kg of your current weight is uniformative to the extreme.

According to the stochastic model there are no explanatory, deterministic variables for your body weight; it just varies within very wide bounds. As such, it is an essentially meaningless prediction. Choosing to believe this model gives you the benefit of eating to your heart’s content, presumably without it influencing your body weight. Actually, your body weight may tend to go down as it approaches the less likely boundaries of the prediction interval. Even when eating all those mars bars! I don’t blame you for wanting to believe in it.

However, I would urge you to take my thoughts into consideration when deciding about your eating habits. But in the end, it’s your choice; it’s your body after all. You chose how to deal with your own body.

At this crucial point the analogy breaks down.