I agree that (like most studies) it could be more robust but what I think is more interesting is the underlying explanation (which, like any theory, may not be correct). Making complex decisions is notoriously challenging - e.g. you are comparing factors across different scales and timeframes (see the book 'Farsighted' by Steven Johnson) - and no single rule should be wholly relied upon, but I think that being aware of the potential impacts of loss aversion / status quo bias during the process can only be helpful.