*In keeping with the Bayes Theorem dose of probability theory last week, here’s a very approachable probability problem.*

I first came across the fascinating Monty Hall Problem 20 years ago:

Suppose you’re on a game show, and you’re given the choice of three doors: Behind one door is a car; behind the others, goats. You pick a door, say No. 1, and the host, who knows what’s behind the doors, opens another door, say No. 3, which has a goat. He then says to you, “Do you want to pick door No. 2?”

Is it to your advantage to switch your choice?

Most people think that it doesn’t matter and that there’s no benefit to switching. They’re wrong, but more on that in a moment.

Humans have a hard time with probability problems like this one. You’d think that we’d be fairly comfortable with basic probability, but apparently not.

Here’s another popular probability problem: how many people must you have in a group before it becomes more likely than not that any two of them have the same birthday?

The surprising answer is 23. In other words, imagine two football teams on the field (11 per team) and then throw in a referee, and it’s more than likely that you’ll find a shared birthday. If your mind balks at this, test it at your next large gathering.

Now, back to the Monty Hall Problem. A good way to understand problems like this is to push them to an extreme. Imagine, for example, that there are not three doors but 300. There’s still just one good prize, with the rest being goats (the bad prize).

So you pick a door—say number #274. There’s a 1/300 chance you’re right. This needs to be emphasized: *you’re almost certainly wrong.* Then the game show host opens 298 of the remaining doors: 1, 2, 3, and so on. He skips door #59 and your door, #274. Every open door shows a goat.

Now: should you switch? Of course you should—your initial pick is still almost surely wrong. The probabilities are 1/300 for #274 and 299/300 for #59.

Another way to look at the problem: do you want to stick with your initial door or do you want *all* the other doors? Switching is simply choosing all the other doors, because (thanks to the open doors) you know the only door within that set that could be the winner.

One lesson from this is that our innate understanding of probability is poor, and a corollary is that there’s a big difference between confidence and accuracy. That is, just because one’s confidence in a belief is high doesn’t mean that the belief is accurate. This little puzzle does a great job of illustrating this.

Now imagine an analogous game, the Game of Religion, with Truth as host. Out of 300 doors (behind each of which is a religion), the believer picks door #274. Truth flings open door after door and we see nothing but goats. Hinduism, Sikhism, Jainism, Mormonism—all goats. As you suspected, they’re just amalgams of legend, myth, tradition, and wishful thinking.

Few of us seriously consider or even understand the religions Winti, Candomblé, Mandaeism, or the ancient religions of Central America, for example. Luckily for the believer, Truth gets around to those doors too and opens them to reveal goats.

Here’s where the analogy between the two games fails. First, Truth opens *all* the other doors. Only the believer’s pick, door #274, is still closed. Second, there was never a guarantee that *any* door contained a true religion! Since the believer likely came to his beliefs randomly, why imagine that his choice is any more likely than the others to hold anything of value?

Every believer plays the Game of Religion, and every believer believes that his religion is the one true religion, with goats behind all the hundreds of other doors. But maybe there’s a goat behind *every* door. And given that the lesson from the 300-door Monty Hall game is that the door you randomly picked at first is almost certainly wrong, why imagine that yours is the only religion that’s not mythology?

*For reason is not just a debater’s tool *

*for idly refracting arguments into premises,*

*but a lens for bringing into focus the features of human flourishing.*

— “What Is Marriage?” by Girgis, George, and Anderson

*This is a modified version of a post originally published 11/28/11.*