over an age cohort [@flynn1987massive]. These scores do not take age into account and the mean is 114.

### Satisfaction with life, self-disclosure, and fair-mindedness

are assessed by separate questionnaires. SWL is a measure of global well being somewhat robust to short term mood fluctuations [@diener1985satisfaction].

The Interpretation of Feature Weights {#interpret}
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A common approach to understand traits in social science is to solve

$$X = UT + \epsilon,$$ where $X$ is observations of subjects, $T$ is the traits of subjects, $U$ is a transition matrix, and $\epsilon$ is model error [@khandani2010consumer; @egan1999sensational; @cooke2004demographic; @pecina2013personality; @quilty2009personality; @tett1991personality; @park2015automatic; @cesare2017detection; @kleinberg2016inherent]. Traits are preferred to be orthogonal to promote compactness without sacrificing modeling power. The Big 5 personality model is both criticized and defended on grounds of trait independence, explanatory power, and measureability, which conforms to the linear model above [@john1999big]. Because the traits are defined by language they will not be completely orthogonal. Additionally, observations are not independent. As such, values in $U$ will have dependencies across both rows and columns. Some traits like personality are used to predict other traits or life events [@egan1999sensational; @tett1991personality]. Learning those relationships can be interpreted as informing our beliefs about column dependencies 