That's actually quite fascinating, if that's true. He tested this by spinning 10 different pennies, 10 times each, so that would be a total of 100 spins. His hypotheses were, his null hypothesis is that, by spinning, your proportion doesn't change, rather, versus flipping, it's still 50%. And his alternative hypothesis is that, by spinning, your proportion of heads is greater than 50%, where p is the true proportion of spins that a penny would land showing heads. In his 100 spins, the penny landed showing heads in 59 spins. Rahim calculated that the statistic, so this is the sample proportion here, it's 59 out of 100 were heads, so that's 0.59, or 59 hundredths, and he calculated, had an associated p-value of approximately 0.036. So, based on this scenario, if ahead of time, Rahim had set his significance level at 0.05, what conclusions would he now make?