Most forms of text contain typos and many algorithms have been proposed to find them, but not much attention has been paid to understanding the occurrence of typos and their indirect significance in understanding how humans interact through text. In this paper we propose some ways in which typos can be exploited to reveal details about human interaction and closeness. We also look at how they can be used to improve automatic document classification into formal and informal types.