In this exploratory study, we investigated the personal epistemologies of statisticians in academia with the aim of offering some insight into what might be an availing epistemology for learning statistics. Findings from in-depth , semi-structured interviews with six academics currently researching within the field of statistics showed that their statistical personal epistemologies were consistent with constructivist theories of learning. Based on these findings, we proposed an integrated model to represent participants’ beliefs about knowledge and knowing in statistics. Furthermore, we found differences between participants’ mathematical and statistical personal epistemologies, and we offered an argument for domain-specificity of personal epistemologies. The implications of our findings for research in statistics education and statistical misconceptions are discussed.