This paper reports the results of another empirical study of student programs that shows high correlations between the common static software complexity metrics. The results are analogous to those reported in numerous similar studies. Since the data consisted of 255 FORTRAN programs written by students in beginning programming classes, most of the programs were less than 100 statements long. This raises questions about the generalization of the results to “real world” programs. I know from personal experience how difficult it is for academics to obtain industrial data. Nevertheless, the software complexity metrics area needs empirical studies that involve “real world” programs and professional programmers. But more importantly, researchers should focus their attention on the underlying causes of the high correlations reported in the many studies.