Average in statistics contains the following mean, median, mode, range and more. This (Not trying to be mean or saying you are trying to do this) pseudo-intell

Average in statistics contains the following mean, median, mode, range and more. This (Not trying to be mean or saying you are trying to do this) pseudo-intelligent attack on average because they heard a cool attack on mean when it comes to income inequality isn't pertinent to speaking about above and bellow average. Real world example: It is still an non-measurable skill set. > so the distribution would still be skewed and the average would still be different from the median value You also mixing up vocabulary your still taking average = mean BUT average also means median. Here is real world ranking of skills (Math, Science, English and Reading) http://blog.prepscholar.com/act-percentiles-and-score-rankings http://blog.prepscholar.com/act-percentiles-and-score-rankin... Once again what scores are you comparing? When I went to Graduate School I had to do GRE and MAT test and I needed to be over 70% percentile on the test just to be average in my field of study (Theology (highest of all fields of study while Education had one of the lowest scores which makes me laugh) This had HUGE implications on my later PhD program acceptance. I couldn't say I was above average in my field because I scored really high. I had to be better then well over 75% of the people taking the test in my field of study. Just because there are a ton of beginners that start and leave that doesn't mean that there isn't a middle and that middle ground will have great skills above the learners. I counter the argument on this paper discounting average developers and placing the blame on their co-workers and environment. Average workers are not to be looked down on.