What you're choosing so that works by well it's It's a chore for people to understand exactly what it is. It's it's a more in-depth statement than the alternative healthy eating index dash diet. Some things like that where people have tried to simplify it into a sort of ten easy steps or something. The point that was going to make is that for dairy we coded dairy as a high fat or low fat. And so you get generally speaking. You get more points for low fat theory. If we're wrong about that an actually fermentation is the issue in the yogurts. Cheeses are gonna be good for you. The liquid milk Maybe the butter is not going to be good for you. We would have to reformulate the score in order to Give people credit for that right now. They eating yogurt yes. It's good if it's low fat. Eating yogurt at full-fat would be rated bad and in terms of that particular score. You would you would lose points for that. I actually think that when i go to the grocery store. Most of the yogurts zero fat. Nab means they've taken out all of that dairy stuff which contain saturated fat but contain some other things as well and you have replaced it with some kind of carbohydrate and that seems to be a really bad idea. So that's something where you could see kind of tweaking the score at the level of saying what if we formulated a little bit differently but we get a different answer and we think about that. We haven't actually done that but we do. Think about it. A going back to your original question how. You formulate the score. Is everything in terms of literature. Gonna figure out epidemiologically to bring things in a slightly different but related area. One of the concepts. I did want to ask you about was when we have large data sets and we're looking at an analysis of that data particularly you've written about when this data's being gathered over ecological units and how we have to be very mindful of how that data analysis goes and i think you gave a really good example of referencing machine Study with the pure study where they concluded that high carbohydrate intake was associated with higher risk of total mortality and off the back of that they were giving this recommendation to ab reconsider dietary guidelines. And i know you are quite eloquently about that issue and how that relates to this concept of data that's collected over ecological units. And how we go about that data analysis. I was wondering. Could you may just go into that for people in riffa bill on the idea because back in a way to the issue that you raised about variability between cultures within cultures and If you not look across cultures which hansel keys did in the seven countries study in which salim yousif did in the cure study. You can't see those extreme differences. You don't even get a hint about them but when you only look within study you may still see some very strong relationships. But you're not necessarily seeing how the relationship is not linear.