As ever in these studies, there's the claim that they've developed a reliable quanitative program for measuring human intelligence. This is tough - I mean, how

As ever in these studies, there's the claim that they've developed a reliable quanitative program for measuring human intelligence. This is tough - I mean, how do you put error bars on these measurements in a meaningful way? > "Subjects were administered a comprehensive psychometric battery of fluid and crystallized intelligence tasks, including a figure series completion test of fluid intelligence (Kyllonen et al., 2019), the Law School Admissions Test Logical Reasoning Battery (Mackey et al., 2015), Shipley-2 Vocabulary (Winfield, 1953), and the Adult Decision-Making Competence battery (Bruine de Bruin et al., 2007, 2020), collectively composing up to 3 hours of psychometric measurement administered over two days. Previous work demonstrates a high degree of overlap and redundancy between the Adult Decision-Making Competence battery and other canonical measures of intelligence (Blacksmith et al., 2019; Bruine de Bruin et al., 2020; Missier et al., 2010; Román et al., 2019), providing further evidence that the battery provides a valid and reliable measure of general intelligence." Well, maybe... I wonder if this will ever become a standard part of the hiring interview? It might be appropriate if everyone in the company had to take the test and publicly post the results, at least for internal viewing. "Line up for your fMRI imaging, please, before taking your battery of intelligence tests, everyone... this will be your primary determinant of promotion and compensation, by the way." For background on the fMRI vs CPM debate, this seems to be what it's all about: > "Recently, we have developed connectome-based predictive modeling (CPM) with built-in cross validation, a method for extracting and summarizing the most relevant features from brain connectivity data in order to construct predictive models. Using both resting-state functional magnetic resonance imaging (fMRI) and task-based fMRI, we have shown that cognitive traits, such as fluid intelligence and sustained attention, can be successfully predicted in novel subjects using this method." https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526681/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5526681/ It might eliminate some of the social networking biases in hiring and promotion with their attendant issues, but it also is a bit GATTACA-ish.