1 hour ago
(This post was last modified: 1 hour ago by npcompl33t.)
(2 hours ago)Jorge_Stolfi wrote: You are not allowed to view links. Register or Login to view.There is no "gradient" or "sequential ordering" or "horseshoe" in fig1. There are two widely separated clouds of points. Each cloud has a funny shape which does not seem to be quite well modeled by a with a multivariate Gaussian distribution. Each cloud is fairly elongated and slightly bent. But the main axes of the two clouds do not seem to be aligned.
The authors of that paper DID recover a gradient from that horseshoe that matches up almost perfectly with established indexes of liberalism vs conservatism. How do you explain that if it contains no sequential ordering? How were they able to recover a sequential order along the apparent obvious liberal-conservative spectrum, if no such gradient exists? How did the method recover a real-world gradient if it is just noise and not a horeseshoe with an imposed arbitrary meaning?