Adaptive designs and early stopping rules are really good when: 1. Data collection is expensive (time or money) 2. Keeping with the status quo in the presence

Adaptive designs and early stopping rules are really good when: 1. Data collection is expensive (time or money) 2. Keeping with the status quo in the presence of new evidence is problematic (withholding a promising new drug) 3. Continuing with the experiment in the presence of new evidence is problematic (the new drug is hurting people) Absent one of those features, it's probably not worth the added complexity.