In his editorial on interesting and impactful research, Tellis (2016) makes a number of insightful observations and offers valuable suggestions for researchers. With the objective of fostering further debate and discussion on an important issue, in this commentary, I attempt to: (1) provide further substantiation for some of the points highlighted and guideposts offered by Tellis, by drawing attention to other supporting literature; (2) address certain other issues pertaining to potentially interesting and impactful research to complement the issues addressed by Tellis; and (3) elaborate on certain views espoused by Tellis on which I hold a different point of view.Perspectives on characteristics of good theory Tellis (2016) notes that a good theory is a simple explanation for a phenomenon, and the best theory is the simplest explanation for a wide set of phenomena. He further notes that simplicity is not a limitation, but a paramount virtue of a theory. In this regard, Dawkins (2008) notes that a measure of the power of a scientific theory is its explanatory ratio (the number of facts that the theory explains divided by the number of assumptions it makes in order to explain). In characterizing Darwin's theory of evolution as a powerful theory, he notes that the numerator of the explanatory ratio for the theory is large (explains all of life and its complexities) and its denominator spectacularly small and simple (natural selection, the non-random survival of genes in gene pools).Also pertinent in this regard are the characteristics that Wilson (1998, p. 198) enumerates as qualities that scientists look for in theory generally, and mathematical models in particular: (1) Parsimony: the fewer the units and processes used to account for the phenomenon, the better. (2) Generality: the greater the range of phenomena covered by a model, the greater the likelihood of it being true. (3) Consilience: units and processes of a discipline that conform with solidly verified knowledge in other disciplines have proven to be consistently superior in theory and practice in comparison to units and processes that do not. (4) Predictiveness: theories that are precise in the predictions they make across many phenomena and whose predictions are easiest to test by observation and experiment endure.I n a n a r t i c l e t i t l e d BT h e t y r a n n y o f s i m p l e explanations,^Ball (2016) cautions that there is no easy equation between simplicity and truth. He points out that while simple and elegant theories have sometimes turned out to be wrong, simpler but less accurate theories can be more useful than complicated ones for clarifying the bare bones of an explanation. In this regard, he draws attention to the use and misuse of Occam's razor (a philosophical concept credited to a 14th-century English Franciscan friar, William of Ockham) as a tool for adjudicating between rival theories. Ball notes that Occam's razor, which is often invoked as an injunction against making more assumptions than absolutely needed, is only relevant i...