Calculating the energy balance of biofuel production requires models based on a comprehensive analysis of system inputs and outputs. Typically, life cycle assessment (LCA) models are used. LCAs assign values to the various components of the system being studied in order to interpret their "goodness of fit" in terms of environmental effects. In the case of bioenergy systems, LCAs are used to model energy use, GHG emissions, sequestered C, water balance, and land use change among other impacts. Here, we interject an observation attributed to statistician George Cox, "essentially, all models are wrong, but some are useful". Thus, conclusions about bioenergy system sustainability based on LCA models will be strongly affected by (sometimes seemingly arbitrary) decisions regarding system boundaries, crop production inputs, logistics, biorefinery efficiencies, end products, "byproducts" that can have significant economic and environmental implications, and product uses.System boundaries vary widely among LCA studies, and published analyses span the range from "well-to-tank"-or "field to tank"-to "cradle-to-grave" [6]. Such divergent scopes arise from the fact that LCA studies are often conducted for very different reasons-thus making useful comparisons of LCA stud-