To make a stronger case of their graphic "you go under vs over" you'd only need to sample coroner reports and find evidence of crushing, which shouldn't be that hard given the sample size. This seems a bit correlation != causation pushing hard into p-hacking given the bounds from the 1980 data long before the hood-height hypothesis could carry and other obvious hypothesis like smart phone adoption curve.