Abstract: It is common for authors to contact a statistician, saying, “My paper has been tentatively accepted, but I’ve been told to consult a statistician.” This typically indicates that something is wrong or lacking with the data analysis in the paper. Often they need a “better” model for their data.  In the case we are going to discuss, the model was fine, but there were multiple problems with the way the data was summarized.  My first attempts at constructing more appropriate summaries failed miserably. Eventually, I employed an untested version of the bootstrap, which produced reasonable confidence intervals with meaningful interpretations. After completing the analysis, I recognized that I had implemented a new methodology for computing a confidence interval for the LD50, the dose of a drug needed to kill 50% of the experimental units. Such an innovation still has various empirical and theoretical properties that can be explored, and thus can serve as the foundation for a dissertation.