This is a joke, or weather forecasters will become immensely rich and will only publish fake forecasts in the future to avoid sharing.
I really like data-driven methods, but this example shows, how important it is to analyse the full range of factors that might influence and apply multi-method analysis and how dangerous a naive approach can be.
Humans WANT to see patterns and machine learning shall help us to see the right ones. It often requires comprehensive cross-model checks, sub domain analysis, .... This is why we have passionately developed multiple methods and task builders for mlf .