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In this paper we describe a novel, model-independent technique of "rectangular aggregations" for mining the LHC data for hints of new physics. A typical (CMS) search now has hundreds of signal regions, which can obscure potentially interesting anomalies. Applying our technique to the two CMS jets+MET SUSY searches, we identify a set of previously overlooked ∼ 3σ excesses. Among these, four excesses survive tests of inter- and intra-search compatibility, and two are especially interesting: theydoi:10.1007/jhep11(2017)194 fatcat:yer3ffb6ujambi3qz52dxh6by4