You can take this idea further though, by applying concepts from functional programming such as "depend on values rather than dependencies".
A wise colleague started me down this path of passing values, rather than dependencies on collaborators after we repeatedly found ourselves depending on implementation details. This meant our high level domain logic was tightly coupled to low level implementation details.
Additionally J.B. Rainsberger's example is with a virtual clock, another common dependency we often need. In this case, ask for the time, not how you get the time. The example also highlights another common problem with conventions when using a framework or library.
Here we can handle commands but only those that match the signature of taking a single command, and returning no response. In order to apply the Dependency Elimination Principle (DEP) and remove the clock wrapper we can introduce an overload. Our tests will be expressed using the overload, while the production code will make use of the standard method. If the class in question has a relevant set of interfaces, the overload would be omitted from this to ensure that consumers have a clean, focused API to consume.
When the DEP is applied to other dependencies such as configuration details, flexibility is achieved by the ability to provide these values from any source. As a side effect, coupling has been reduced, while also removing an unnecessary abstraction from the codebase.
Try to apply the DEP where possible. Remove as many dependencies as possible for flexible, maintainable code. Not all dependencies can be eliminated, but unless the dependency is a valid abstraction it may be worth considering removing or reducing use.