In a clinical trial, the effectiveness of a treatment is measured by the change in symptom scores, where $\Delta = \mu_{treatment} - \mu_{control}$. A frequentist analysis provides a 95% confidence interval of $[0.5, 4.2]$. A Bayesian analysis using an uninformative flat prior yields a posterior distribution for $\Delta$ such that $P(\Delta > 0 | Data) = 0.985$. Which of the following statements is the most accurate interpretation?