Our latest BART paper, “Assessing variable activity for Bayesian regression trees,” has been posted to arXiv! In this work, Akira Horiguchi investigates alternatives to the usual split-count variable activity metrics. Building on the idea of Sobol indices, Akira finds that the popular split-count can, in fact, be quite misleading. Subsequently, an efficient algorithm for computing such indices in BART models is developed and an interesting connection to the usual split-count metric is described. We will be adding this feature to the OpenBT code base over the next few months! https://arxiv.org/abs/2005.13622