Tell her that someone who pays the other half of the rent should take it up with you . <| sep |> Yeah ? All Christmas classics . <| sep |> You are a good man . <| sep |> America misses quality programming on 3 channels . RIP . <| sep |> Wow , thank you for the write up ! I ' ll definitely start looking more seriously . <| sep |> I ' m going to need some source on this claim . <| sep |> Bat flask . For when joker says something so crazy your only response is I need a fucking drink . <| sep |> Putin is pretty rad <| sep |> It sure was a slick trick Obama did having baby boomers retire . <| sep |> But can ' t you do the same thing with the FIFA rankings . Sure , not necessarily with checking that Argentina is the right distance ahead of Brazil , but you can look in a database and check every game played between teams that are , say , one rank apart or you could do it with point distances , like the rankings are actually based on . If the higher ranked team wins more often , you ' re doing the right thing in your rankings . The fact that you don ' t give specific percentages to specific points differences doesn ' t mean that you can ' t check your model . But then you can ' t account for variance . For example , as Argentina is first in the ranking , should we expect it to have a positive score against all teams below it and so on when we check the database of the last years ? Also , by not trying to fit the distance correctly and predicting results , you may end up accepting some weird results while rejecting intuitive ones . For example , by your assumptions , Argentina beating Brazil 100 times in a row is okay and the model is working , but Brazil winning 51100 is not . The question is Why are you choosing to use this model ? What advantages does it bring over others like Elo ?