Automated IQ estimation from writing samples

Austin Hendrix, University of Louisville
Roman Yampolskiy, University of Louisville


The primary focus of this research is to introduce a method of measuring an individual's IQ by analyzing the vocabulary in said individual's writing. In this paper, we show that the ratio of SAT words in a dataset of writing samples is roughly normally distributed, though with an obvious left skew. We go on to show a method that can be used to calculate an individual's IQ with this ratio and provide samples with measured accuracy. The conclusion suggests ways to increase accuracy in order to further develop the research along with applications of doing so.