Babermetrics is the objective analysis of alluring women through the use of publicly available data. This is currently limited to subjective "hot list" rankings from Maxim, FHM, and AskMen.com but additional variables will be added as the model is refined. It is based loosely on the baseballl analysis methodology called Sabermetrics and the implementation of these principles on baseball-reference.com.
In the name of science, of course.
On List Percentage. This is the equivalent of OBP (On Base Percentage.) It measures the frequency with which a given women appears on the available lists. A perfect score is 1.000 meaning she appeared on every availble list.
List Dominance Percentage. This is the equivalent of Slugging Percentage. It measures where a woman tends to rank on a given list. A perfect score is 1.000 which would mean she was ranked first on every list.
What is Similarity and how is it computed?
Simliarty scores relate the historical data of each woman in an attempt to idenitify trends and careers that might take a simliar path. I used an algoritgm similar to what is used in real estate appraisal theory to determine comparable home sales for the purposes of estimating a home's current value. Adjustments as made to the score based on the differences in each measure statistic.
I needed a way to cumulatively measure rankings and came up with this point and weighting system. You can't just simply add ranks since the numbers are not a true quantitative measures.
The ranks are converted to numbers based on the position attained and the particular source. Not all lists are weighted equally to account for biases (Biases clearly exist and will be covered in the narrative analysis section).
Is there any real theory behind this?
Believe it or not there is. I have a statistics degree and I'm in MENSA. There is some higher brain function going on here. (Exactly how much is certainly open to interpretation.) While I'm sure what I'm doing isn't worthy of being published in MIT Technoloy Review, I feel confident that given the data and subject matter it passes the academic smoke test just fine.
Sure I do. Please submit any ideas, comments, or feedback of any kind to babermetrics@gmail.com