You are right, data/concept drift affects both approaches.

What I meant to say was that retraining your model might not fix that if you baked strong assumptions into it. I edited the blog post to make it clearer.

With small datasets you need to know how the concept drifts well enough to model it or model the failure modes. That's half the game in my opinion.