However, this is not the case with the following bootstrap distribution. The bootstrap distribution is centered at 0.42, which is the proportion red of Ilyas and Yohan’s 50 sampled balls. This is because we are resampling from the same sample over and over again. Since the bootstrap distribution is centered at the original sample’s proportion, it doesn’t necessarily provide a better estimate of \(p\) = 0.375. This leads us to our first lesson about bootstrapping: