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@MoneyEvil @nntaleb @yhazony @clairlemon Reality is nonlinear, involving higher dimensions than anything simplistic statistical techniques can model correctly. If you want to model reality you need to use high-dim approaches that can adequately approximate complexity.
@MoneyEvil @nntaleb @yhazony @clairlemon Forcing a statistically convenient model onto something overtly complex is not science. This is caused by "physics-envy" where those studying complex phenomena want to anchor their narrative on simplistic models that are easy to understand (and influence policy with).
@MoneyEvil @nntaleb @yhazony @clairlemon Fitting a model to data and discovering a model from data are 2 very different things. Taking something like intelligence, which lacks any cohesive definition, and shows the hallmarks of emergence, cannot be understood by mapping simplistic trend lines to scattered data.
@MoneyEvil @nntaleb @yhazony @clairlemon Forcing nature to adhere to a naive, convenient story isn't science. Neither is making circular predictions that show scoring well on tests makes you better at scoring well on tests.
