P value is the probability that you are wrong if you reject the null hypothesis.

or

P value is the probability that you get equal or worse result if your experiment is right…

or according to Wikipedia:

For example, if you propose a hypothesis that Trump has more positive tweets than Hillary has, the your data tells you p = 0.03, then the probability that Trump has same or less positive tweets than Hillary is 0.03.