Look out for intervention comparisons that are sensitive to assumptions that are made.
Sometimes claims of effects of interventions depend on putting together different types of evidence and making assumptions. For example, a claim about the effects of using a remote sensing method may depend on how accurate the method is, assumptions about how the test results will affect intervention choices, and evidence of the effects of the intervention.
When intervention claims depend on assumptions, it is important to consider the basis for the assumptions and to test how sensitive the results are to changes in the assumptions.
REMEMBER: Whenever intervention claims depend on assumptions, think about whether the assumptions are well-founded and how sensitive the results are to changes in the assumptions that were made.