Why do we need Box-Muller Transform to generate a Normal distribution?

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When I search for any implementation of random numbers from Normal Distribution, I find that they are using the Box-Muller method to implement it.

Is there any specific reason for using this specific method?

Why don't I just use the formula for normal distribution and multiply a random value with that to obtain a random value from normal distribution?