Intuition behind scaling random variable

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I'm trying to understand what exactly does it mean to scale random variable (let's say by K). I was watching one of the videos from Khan Academy where he showed scaling continuous probability distribution. Check out this video

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When the random variable is described mathematically it may not make sense. If the random variable arises in some context, based on that context, one can make sense of scaling. The intuition does not vary between continuous and discrete variables.

Let $X$ be the number of international passengers arriving at an airport on a day. This is a random variable. Possibly one immigration officer (counter) might service 500 international passengers. So for the govt the more important random variable would be $\frac1{500} X$.

One can similarly imagine situations in a call centre: if the number of calls received is a random variable, the number of employees needed for attending calls would be obtained by scaling it suitably.