Two science professors give us tools to dismantle misinformation and think clearly in a world of fake news and bad data. Misinformation abounds and it's getting harder and harder to know what's true. Politicians are not constrained by facts and our media environment has become hyper-partisan. Science is carried out through press releases, startup culture has triggered the art of creating hoaxes and most administrative activity, public or private, seems to be little more than a sophisticated exercise in combinatorial reassembly of nonsense. We're pretty well equipped to spot the kind of old-school lies that rely on fancy rhetoric and euphemisms, but most of us don't feel prepared to challenge the avalanche of modern hoaxes present in the language of mathematics, science, or statistics. Drawing on deep expertise in statistics and computational biology, Bergstrom and West unravel abundant examples of confusing data selection and visualization bias, distinguish between correlation and causation, and examine science's susceptibility to modern hoaxes. Now that those lies have evolved, we need to relearn the art of skepticism.