To you guys wondering how somebody could possibly analyze go-around data, there's this little field of study you might want to look into called:
http://en.wikipedia.org/wiki/Statistics
It's really simple. Take the normal distribution ("Bell Curve") of go-arounds at a specific airport based on carrier. If the standard deviation is small, everyone is probably on the same level and the culprit is "random error" (i.e. random ATC delays, weather, etc.). If there are dramatic "outliers" (i.e. extremely large standard deviation) to one side or another with respect to everyone else, then that may indicate a systemic problem. Too few go-arounds relative to everyone else, and (unless their pilots are
extremely skilled) that could indicate an arrogant pilot group, ATC favoritism, a go-around averse unsafe company culture, etc. Too many, and you'd want to look into culprits like unstabilized approaches, lack of pilot skill, ATC throwing them under the bus, etc.
I'm not a statistician (I just know how to read a book), but my point is this stuff isn't rocket science. I guarantee there are academics and researchers out there who do this stuff on a daily basis as their job, who
could reasonably account for most variables. I get that on the union level you guys have fought company pressure to use statistics in a regulatory manner (the Colgan go-around paperwork sounds absurd), but from a 3rd party non-regulatory perspective (an agency like the NTSB for example) it makes sense to use statistical data analysis as one of many tools to increase safety.