The music you enjoy says a lot about you. Although not purely relegating you to a limited definition, there does are likely to be a correlation between personality types, life styles, and types of favored music. If you’ve ever thought what your own music preferences say about the kinds of people who might be regarded as your familiars, wonder no more: Grooveshark has released a new product, Beluga, that makes use of data from Grooveshark members to find out relationships between musical tastes and listener demographics and behaviors.

Data collection is a very popular topic nowadays, and not a awfully pleasing topic at that, but Grooveshark attests that Beluga collects info with complete transparency while maintaining users identities anonymous .Combining that data with a few in-house research gathered from Grooveshark studies, Beluga is not just a fun time-whittling device for statistics nerds but additionally a savvy utility for musicians, promoters, and marketers to far better coordinate methods to reach fans.

Besides opening advertising and touring possibilities, Beluga, which requires its name from the whale , works as a peculiar mirror in which to humbly gaze upon one’s self. Search any artist placed in Grooveshark’s library and you’ll discover an extensive profile of what that musician’s followers are usually like.

You could view the data either by category, like general demographics, socioeconomic status, product affinity, or lifestyle; or by All Market Research to view the questions and answers on one display screen. The details of the statistics are represented by a standard score, or Z-score, that shows the standard deviation from the mean. In this example, that information shows how highly or weakly each response is represented for a question. For instance, studying the question Do you possess a car in the data gathered from listeners of Philip Glass, I could see quickly that most Glass fans are likely to not own a car; they either choose to lease a car or simply don’t intend to own or lease a car soon.

The self-confidence interval of these types of values is also accessible. For the previous example, Philip Glass listeners who replied My car was leased are over-represented in that data with a medium degree of confidence. For the group that answered Do not have access to a car and do not consider having one in the next few months,these listeners are also over-represented but with a super-high confidence, which means that the reliability of this estimate that Philip Glass listeners don’t want almost anything to do with cars is fairly high.

Honestly, even though you don’t worry that much about what other people are paying attention to but have a jones for anything statistical, that is a amazing data set from which you could extrapolate very peculiar correlations that may be used to construct which kind of music is probably favored by different people (although do that cautiously so you don’t turn into a pretentious member of the music Stasi). Continuing with the Glass example, some other tendencies I could observe of his audience are that they are likely to live in Spain or France, are widowed, are well-read and really educated, only buy an artist’s merchandise simply because they truly like it, aren’t truly fans of utilizing aftershave, greatly favor Apple’s Safari browser, and are prone to keep rodents as pets.

Apropos of nothing, it’s mildly entertaining to realize that people who enjoy Pitbull have a strong tendency to wear fake nails. Marketers take note: probably he could go endorse a type of press-on nails.

Anyway, this is a rich trove of information anybody with half an appreciation of statistics should find fascinating. More, if you feel the data is off the mark, you can add your own information to Beluga’s data set by finishing the surveys on Grooveshark.