I review existing literature on weak instruments (possibly with multiple endogenous variables), and the research in progress by Jim Stock and others. I demonstrate the use of tests for weak instruments, and present a new graphical technique for presenting coefficient estimates that allows for hypothesis testing (using Anderson-Rubin-style test statistics) in the presence of weak instruments.