  The Lasso is a popular statistical tool invented by Robert Tibshirani for
linear regression when the number of covariates is greater than or comparable
to the number of observations. The purpose of this note is to highlight the
simple fact (noted in a number of earlier papers in various guises) that for
the loss function considered in Tibshirani's original paper, the Lasso is
consistent under almost no assumptions at all.
