This week’s SUMS talk is by Honours student Kevin Wang. Pizza and drinks are as always available after the talk. Abstract: Principal Component Analysis, or PCA, is a standard statistical technique that aims to reduce the high dimensionality of data into something more manageable and interpretable. This is particularly useful in cricket datasets, because there is always some interesting interplay between summary statistics like number of runs, the average, and the strike rate. The second aspect of this talk deals with how bias of an analyst can manipulate these situations and make the results stack in his/her favour. For example, by choosing to perform the analysis in certain ways, we can predict Australia will win the 2015 Ashes.