Our article "Are automated static analysis tools worth it? An investigation into relative warning density and external software quality on the example of Apache open source projects" is now published online in Empirical Software Engineering. Within this study, we explore the static analysis tool PMD for Java. We investigate, whether we can find a measurable difference between code changes that introduce a bug into the project and all other changes regarding static analysis warnings from PMD. Our study uses data from a large study that investigates tangling in bug-fixing changes, where multiple researchers agree on which lines of a change contribute toward the bug fix and which are unrelated changes. With this validated data, we find that while we can measure a statistical significant difference between bug-inducing changes and all other changes in our study subjects, the magnitude of the difference is surprisingly small.