This is the final chapter of the book; it is about bringing things together on different levels. First, it brings together the statistical knowledge discussed in this book and highlights ten key principles of statistical thinking applied to corpora. Next, the chapter introduces a statistical technique called meta-analysis. Meta-analysis is a way of bringing together results of multiple studies and combining them systematically. In this way, meta-analysis contributes to a better understanding of research results in our field. Meta-analysis can combine results from multiple studies into a single mathematical synthesis. Although formal meta-analysis is now fairly common in a number of disciplines such as psychology, second language acquisition, medical science etc., its application in corpus linguistics has been problematic due to the general lack of reporting of effect size measures. This chapter argues in favour of standardised reporting of effect sizes in corpus research and shows how meta-analysis can be carried out. Finally, the chapter reviews common effect size measures and provides a guide for their interpretation.