In the 17th century, the discipline of probability theory got its start when a gambler asked a mathematician friend to explain some observations about dice games. Why did he, on average, win a bet that at least one six would appear when rolling a die four times? And why did he seem to lose a similar bet, getting at least one double-six when rolling a pair of dice 24 times? Nowadays, it seems astounding that any person would roll a pair of dice 24 times in a row, and then repeat that many times over. Let’s do that experiment on a computer instead. Simulate each game a million times and print out the wins and losses, assuming each bet was for $1.