The core of the issue lies in understanding how a lottery works. The probability of a specific set of numbers being drawn is fixed and is not influenced by how many people are playing.
• If you pick the numbers 1-2-3-4-5, your chance of winning is the same whether one person is playing or one million people are playing.
• The number of players only affects the probability of having to share the jackpot if you win. With fewer players, you are less likely to have to share.
Baggs makes a mistake by confusing the probability of winning with the probability of winning without sharing. He incorrectly states that you are “more likely to win” when fewer people play.
Evaluating the Options
• (A) Tony holds that the chances of winning are unaffected by the number of times a person plays. Tony doesn’t discuss this. His focus is on when to play, not how often.
• (B) Baggs holds that the chances of Tony’s winning are affected by the number of other people playing.
This is the correct answer. Baggs explicitly says, “you’re more likely to win... because that’s when the fewest people are playing.” This is a direct statement claiming the number of players affects the odds of winning, which is a logical flaw.
• (C) Tony holds that the chances of anyone’s winning are unaffected by the size of the jackpot.
Tony doesn’t comment on the chances of winning at all; he comments on when it’s “best” to play, which relates to the size of the prize.
• (D) Baggs holds that the chances of Tony’s winning in a given week are unaffected by whether anyone has won the week before.
This describes an independent event, which is a correct assumption in a lottery. Therefore, it is not a mistake in reasoning.
• (E) Tony holds that the chances of there being a winner go up if no one has won the lottery for quite a while.
This is the Gambler’s Fallacy. Tony doesn’t make this mistake; he correctly states that the jackpot goes up, not the chances of winning.
The correct choice is (B) because it accurately identifies the flawed reasoning in Baggs’s argument.