As I said before, the correct measure of probability for a continuous random variable (one that can take infinite values) is not the probability mass function, which is only defined for a finite set of values, but the
probability density function which does have finite values at any given value of the variable even for random variables that can take infinite values. The probability density function is first defined over an interval and then the limit of the interval length (delta x) is set to zero in order to define the probability density for any given value of the variable. Hence we get finite valued probability even for continuous random variables. Again, any basic probability course will cover this. A simple explanation is provided here,
14.1 - Probability Density Functions | STAT 414
Note that one of the most common types of pdf is the pdf of a normal distribution that is fully defined for any given value of x ranging from -infinity to + infinity.
Normal Distribution Formula - What Is Normal Distribution Formula?
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Thus you are completely wrong here. Given a probability distribution we can exactly determine the probability of picking a volume where 99% of the atoms have decayed as well as the probability where 1% of the atoms have decayed even in a universe having infinite total volume.