## "Using median size as a reference it's perfectly possible to fit four ping-pong balls and two blue whales in a rowboat."

Median is an accurate representation of only the most ideal samples.
The main selling point of Median Node-Fu and Median Node-Fu Product is that you could check this for any user at the cost of, at most, two votes. This selling point is irrelevant to a behind the scenes process as it is not limited in the number of write-ups it can check for reputation.

Here is my recommendation:
Divide the reputation sorted list of someone's write-ups into N sections. Find the reputation of the write-up in the middle of each section. Mutiply the value of these midpoints by 1/Nth the number of write-ups. Add these products together. The resulting sum is someone's contribution to E2.
Sound familar? It's an algorithm for calculating the area under a curve.
As you may recall from calculus, the accuracy of this measure increases with N (specifically in this case accuracy increases as N approaches #WU)
Node-fu would be calculated by averaging the the values of the midpoints. These methods can be refered to as MpNF for Midpoint Node-Fu and MpNFP for sum E2 contribution.

Some interesting things you may not have noticed

1. When N=1 this method gives you MedianNFP and MedianNF
2. When N=#WU this method gives you MeanNF (I.E WNF uncorrected for C!)