The standard n-simplex \(\Delta ^n\) serves as a natural geometric space for representing discrete probability distributions and compositional data. Quantifying dissimilarity between points \(P, Q \in \Delta ^n\) is essential, with metrics respecting ordinal structures being particularly valuable. The 1-Wasserstein distance \(W_1\) excels in this regard but lacks a direct geometric interpretation as a path length on the simplex. This paper addresses this gap by defining a canonical path from P to Q in an “outside-in” recursive manner using dimension-reducing projections. We prove that the length of this path, under a weighted Euclidean metric with weights \(\textbf{a} = (a_1, \dots , a_n)\) encoding ordinal spacings, equals the weighted 1-Wasserstein distance \(W_{1,\textbf{a}}(P, Q)\) . Furthermore, we situate this result within Finsler geometry, demonstrating that \(W_{1,\textbf{a}}\) is the geodesic distance induced by a continuous Finsler metric on \(\Delta ^n\) . The canonical path thus emerges as a non-smooth length-minimizing geodesic.