Regularisation fixed the prediction problem. Now for the invoice. Lasso promised to tell you which features mattered, so you pull up its top 20 — coloured by the role the codebook assigned in secret. Some of the survivors are spurious. You run a Random Forest on the same data and it picks a different 20. Two models, two stories, one dataset. Which do you publish?