MW > NE wrote:
In case people were still trying to debate this for any particular reason, the Midwest had 17 All Americans, while New England came in with 6. So I think we can wrap this one up nice and tight.
Yet again your liberal bias shines through. When adjusting for this bias, the Northeast has come out on top in the results at the National Championships this year.
The issue is that your are using middle-school level statistics. Your estimator is extremely biased, so your justification of the Cramer-Rao bound is not supported. Your liberal artist training at some midwestern DIII school does not prepare you for the fast-paced analytics of the business world. I, on the other hand, went to business school and studied Behavioral Economics. (Our president also happened to go to business school.) I learned how to use machine learning and tensorflow. Do you even know what a tensor is?
When I pass the results of this year's meet to tensorflow, the northeast is clearly the most dominant region. It is unquestionably reflected in the data. This is supported by cutting-edge machine learning and AI.
The reason your bias is so large is many-fold. First, the meet was extremely cold, which plays in favor of Midwest teams who train year-round in the cold plains. Northeast teams are not prepared for the sub-20 degree weather. When you account for this in the model, the superior performance of the Northeast is obvious. Second, Oshkosh is a pancake-flat course. Northeast teams are accustomed to true cross country courses with hills, rocks, and uneven terrain. Adjusting one's strategy on-the-fly during the race undoubtedly results in apparent under-performance. Adding this into the model makes the Northeast the undisputed winner this year.
When you apply logic, facts, reason, and science, it is clear that the Northeast always produces superior teams. Until someone can debate me using high-level machine learning, you must accept that I have won.