First, the concept of “majority support” lacks a standardized quantitative definition. While the guide allows flexibility in assessing community size and representation, the absence of clear thresholds or metrics may lead to inconsistent interpretations across evaluation panels. Establishing clearer benchmarks—such as percentage thresholds or weighted criteria—would enhance comparability and fairness.

Second, the reliance on “limited independent research” introduces potential subjectivity. The guide does not define the scope, acceptable sources, or validation standards for such research. This creates risks of evaluator bias and uneven application of evidence standards. A more structured research protocol, including source validation criteria, would strengthen objectivity.

Third, the evaluation framework does not sufficiently address how community size and legitimacy should be verified. Since applicants self-report these elements, the lack of standardized verification mechanisms may allow overstatement or misrepresentation. Introducing independent verification requirements or third-party validation could mitigate this risk.

Finally, the binary scoring approach for Registration Policies limits the ability to assess policy quality and enforceability. Expanding this criterion into a more nuanced scoring scale would better reflect differences in policy robustness and alignment with community objectives.