This talk is going to be about my long-a** paper on #causalinference and #networkreconstruction. The paper is long but the ideas are simple! We are going to improve lagged correlation as a measure of structure by accounting for the #networkMotifs that usually mess up our inference results: direct #confoundingFactors and #reverseCausation