And what I need to show you is that the variance of negative Y, the negative of that random variable, is going to be the same thing as the variance of Y. So what is the variance of negative Y? The variance of negative Y is the same thing as the variance of negative Y, which is equal to the expected value of the distance between negative Y and the expected value of negative Y squared. That's all the variance actually is. Now, what is the expected value of negative Y right over here? Actually, even better, let me factor out a negative 1. So what's in the parentheses right here, this is the exact same thing as negative 1 squared times Y plus the expected value of negative Y.