And there or only a rare few thing I disagree more stongly with the statement, that good modellers / data scientist / whatever only need knowledge about how to model stuff to beat domain experts. It takes domain experts to judge whether or not a model correct, to identify the known and unknown unknowns and limitations of these models. Claiming otherwise is deeply arrogant, and it ended in disaster everytime I saw it tried. Good modellers need enough domain knowledge to properly work with, and understand, domain experts. And domain experts need sufficient knowledge about modelling to do the same. Both need the willingness to do so. And every modeller needs to accept that reality beats models, always.