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ElwoodBlues · M
Fairy dust, who blocks me, asks
The person who makes the test determines what aptitudes will be measured. BUT. What we call "IQ" is the largest eigenvector of a high dimensional covariance matrix. Howard Gardner made strong arguments for eight independent dimensions of "intelligence" and there may be more. The largest eigenvector might represent 1/3 of the total observed variation, so ignoring the other components leaves out most of the "intelligence."
Who determines what even a high IQ is 🤷🏼♀
The person who makes the test determines what aptitudes will be measured. BUT. What we call "IQ" is the largest eigenvector of a high dimensional covariance matrix. Howard Gardner made strong arguments for eight independent dimensions of "intelligence" and there may be more. The largest eigenvector might represent 1/3 of the total observed variation, so ignoring the other components leaves out most of the "intelligence."
IndigoSavage · 22-25, F
@ElwoodBlues I don't believe you know what you typed actually means because you wouldn't be on SW if you did. Nice try though
ElwoodBlues · M
@IndigoSavage Many years ago I used to work at a place where we used and abused statistical tools to do a form of machine learning. A lot of statistical tools emerge from covariance matrices (they are an extension of standard deviation into multiple dimensions). The eigenvectors of an covariance matrix have some very useful properties; one of the most useful is that they're all mutually orthagonal.