Given that both confidence intervals are quite similar, let’s focus our interpretation to only the percentile-method confidence interval of (-0.238, 0.302). Recall from Subsection 8.5.2 that the precise statistical interpretation of a 95% confidence interval is: if this construction procedure is repeated 100 times, then we expect about 95 of the confidence intervals to capture the true value of \(p_{seed} - p_{control}\). In other words, if we gathered 100 samples of \(n\) = 50 participants from a similar pool of people and constructed 100 confidence intervals each based on each of the 100 samples, about 95 of them will contain the true value of \(p_{seed} - p_{control}\) while about five won’t. Given that this is a little long winded, we use the shorthand interpretation: we’re 95% “confident” that the true difference in proportions \(p_{seed} - p_{control}\) is between (-0.238, 0.302).