It's 16, we know that. And so that is right over here, the true population parameter. So if we were dealing with a biased, a biased estimator for the population parameter, then as we get our approximation of the sampling distribution, we would expect it to be somewhat skewed. So for example, if the sampling, if this approximation of the sampling distribution looks something like that, then we say, okay, that looks like a biased estimator. Or if it was looking something like that, we'd say, okay, that looks like a biased estimator. But if this approximation for our sampling distribution that Alejandro is constructing, where we see that roughly the same proportion of the sample statistics came out below as came out above the true parameter, and it's not, it doesn't have to be exact, but it seems roughly the case, this seems pretty unbiased. And so to answer the question, based on these results, it does appear that the sample median is an unbiased estimator of the population median.