I am a statistician who loves mathematics, but is not convinced that logic and numbers can ever tell the whole story. Even with cutting-edge mathematics paired with powerful computers, data analysis cannot escape the need for interpretation, nor can it escape the possibility that the consequences of its use can be harmful. I aspire to teach and do research about statistics with an emphasis on curiosity and expansive thinking, sometimes by playing up the fun in puzzling around with mathematics, or by highlighting critical perspectives on statistics and its roles in societies around the world. Irresponsible application of statistics can bring devastation to communities. How can statistics be practiced responsibly? Seeking answers to this question, I have explored a variety of non-traditional statistical methodologies, which foreground the social consequences of quantitative data practices. Answers are not simple, nor do they come easily, but a lesson that emerges is that statistical methodologies exist within an ecology of other valuable methodologies. Some are anchored in text, storytelling, or the arts, and each offers guidance for saying something important about the world.