Before revision:  In the presence of high-dimensionality in the data, the sample estimator becomes ill-conditioned , which negates the positive effect of diversification in an out-of-sample setting .
After revision:  In the presence of high-dimensionality in the data, the sample estimator becomes ill-conditioned and leads to suboptimal portfolios .