So the difference shouldn't change. And indeed, look, the distance does not change, or the difference does not change. But similarly, if we scale everything up, if we were to scale up the first quartile and the third quartile by five, well then their difference should scale up by five. And we see that right over there. So the big takeaway here, and I just use the example of shifting up by five and scaling up by five, but you could subtract by any number, and you could divide by a number as well. The typical measures of central tendency, mean and median, they both shift and scale as you shift and scale the data. But your typical measures of spread, standard deviation and interquartile range, they don't change if you shift the data, but they do change and they scale as you scale the data.