Making worthless data confess
A recent, well-financed study shows the glycemic index (GI) to be a less-than-optimal way of managing diabetes with diet. Meanwhile, a major name in the world of mainstream nutrition comments on this study and shows his own bias. Oh dear. Let’s take a look.
Before we launch into this study, which we’re going to just briefly review because I want to spend more time on the commentary, I want to propose to you a thought experiment. Suppose I ask you to design a study to see what happens when subjects with diabetes eat low-GI carbs as compared to what happens when they eat high-GI carbs. It seems pretty simple. If you’ve got half a brain, you would recruit subjects with diabetes, go through all of the randomizing rigmarole to ensure that both groups of subjects were as alike as possible, i.e., subjects in both groups were about the same size, same ratio of sexes, same degree of blood sugar elevation, etc. Then you would start the subjects in one group on an amount of carbohydrate, let’s say 220 gm per day, that were mainly low-GI carbs and the other group on about the same amount of carbohydrate composed of high-GI carbs. You would teach each of these groups how to follow their specific GI diets and would have a way of monitoring for compliance. Then you would set them to it and recheck them in 3 months or 6 months or a year or whatever you decided your study length to be. Pretty simple stuff, right?
Just for grins, let’s throw in a twist.

