It's a conditional probability - not a joint probability. What you are describing is what is referred to as a Type I error. As such, it can be described as what is the probability of committing a Type I errorgiven (or conditioned on)that the null hypothesis is true - hence a conditional probability. Note that sampling distributions associated with a statistic are derived assuming that the null hypothesis is true.