>All models are wrong; but some are useful>[全てのモデルは間違っている、だが中には役立つものもある][Anscombe's quartet] – Four data sets with the same descriptive statistics, yet very different distributions[Bonini's paradox] – As a model of a complex system becomes more complete, it becomes less understandable