And the conditional probability that he eats a bagel for breakfast, given that he eats a pizza for lunch, so probability of event A happening, that he eats a bagel for breakfast, given that he's had a pizza for lunch, is equal to 0.7, which is interesting. Let me write this down. The probability of A, given that B is true, given B, is not 0.6. It's equal to 0.7. And because these two things are not the same, because probability of A by itself is different than the probability of A, given that B is true, this tells us that these two events are not independent, that we're dealing with dependent probability. This shows us the fact that B being true has changed the probability of A being true. This tells us that A and B are dependent.