When scientists, usually physicists, wax lyrical about the importance of elegance and simplicity to their enterprise, non-scientists are bound to conclude that their sense of “elegance” or “simplicity” is rather peculiar. After all, science, in both conduct and content, is difficult and complicated – and increasingly contested. But maybe this only shows how little the lay person knows about science. It is still by no means obvious that the different sciences share any common standards of elegance and simplicity.

Indeed, the received wisdom amongst philosophers of science these days is that there is no overarching sense of elegance and simplicity to be had. The very idea is likely to be dismissed as the result of an unholy conspiracy between Platonists and positivists who would have us believe that certain perspicuous patterns in nature are self-validating. It would be as if science were a sophisticated version of finding faces in clouds or inferring aliens from crop circles.

According to this received wisdom, elegance and simplicity are ultimately matters of personal aesthetics, the objective basis of which can all too easily be overestimated. After all, drawing the simplest curve to capture a scatter of data points only makes sense if the scatter is representative of the reality you’re trying to capture. Of course, modern statistics is precisely about how to make such judgements, but much room remains for error.

Nevertheless, for better for worse, our Platonist and positivist conspirators are getting a new lease of life with the dawn of big data, a side-effect of our increased powers of surveillance and computation.  The argument here is that we’re forced to look for simple and elegant patterns if we want to take control of the ongoing information overload. Aesthetics is no longer an optional extra but an epistemic survival strategy. Nowadays algorithms are developed to extract needles from the data haystacks, while evolutionary psychologists explain how the search for elegance and simplicity is hard-wired into our cognitive apparatus.