suppose x represents iq and y represents some measurable and continuously variable trait, analogous to "bandwidth" or "clock speed" or "working memory" or "cores" what does the distribution look like? what if you invert the function? how does this vary by trait?
yes but the output is ordinal, basically a transformed %ile, and doesnt provide information about level differences in whats being ranked im curious what primal raw values are responsible for that ordering and how the two relate eg does a 115 represent a 3% gain over 110? 50%?
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oh, i think i understand what you mean now i think the processing speed component would be linear, the working memory capacity component logarithmic, past experience component is gently sloping sigmoidal, general health is sigmoidal with a massive weight over all the others
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i have no evidence for any of those functions, just my own intuition tbh

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