**Ladies and gentlemen...**

I will now attempt the impossible -- to walk you through the most confusing problem in all of mathematics. This infamous problem has confused millions of students and professors, sparked thousands of hour-long debates and netted me at least $20 in bet winnings. The Monty Hall problem is a famous paradox of probability theory. The intuitive solution is incorrect, and the correct solution is completely counter-intuitive. Most people refuse to believe the correct solution, rejecting it as some sort of a trick of the mind. But what really makes this problem amazing is that, unlike most math problems, it is entirely grounded in the real world. Instead of giving you a proof, I will give you a simple tool that you will be able to use to prove it for yourself.

...and then when you get it, I will turn the problem upside down and confuse you forever. Ready?

**Behold: the Monty Hall problem**

You are a contestant on a game show. The grand prize is a car, hidden behind one of 3 identical doors. Behind the other two doors are goats. You are a vegan, living in a Manhattan studio apartment, so winning a goat would be a highly undesirable outcome for you -- you want the car. The game show host, Monty, asks you to choose one of the doors. You do so. He then opens one of the

*other*two doors, revealing a goat, and asks you whether you want to take the prize behind the original door of your choice, or whether you want to change your mind and win the prize behind the other unopened door. What should you do?

Most people say that it doesn't matter -- the chances are 50/50 between the two remaining doors. In fact, the correct answer is to change your mind and pick the door you have not chosen originally. This strategy gives you a 2/3 chance of winning the car. Unconvinced? No worries. Let me show you a simple trick.

**"Any lock can be picked with a big enough hammer"**

Instead of trying to convince you, I will give you a tool you can use to solve this problem yourself. What do most people mean when they say, "The probability of getting heads in a coin toss is 50%"? They mean that if you toss that coin many, many times, about half of the time it will come up heads. One way to verify this is to take a coin, toss it a thousand times and count occurrences of heads and tails. It's boring, but it works. Fortunately, in the 21st century, we have machines that can do such boring tasks for us.

Open up Google Spreadsheets or a copy of Excel, if you have it. Make a new spreadsheet with 4 columns -- let's call them "Door with the prize", "Player's first choice", "Monty opens" and "Should switch". Put these column names into cells A1, B1, C1 and D1, respectively. Go ahead, do it, really; it will be worth your time. Next, set the values of cells A2 through D2 as follows:

- A2: =randbetween(1,3)
- A random number between 1 and 3, inclusive. This is the number of the door behind which the car is.
- B2: =randbetween(1,3)
- Another random door number. This is the player's first choice.
- C2: =if(mod(B2,3)=A2-1,6-A2-B2,mod(B2,3)+1)
- This is the door Monty will open. The formula says that, of the two doors not picked by the player, if the first one contains the prize, Monty will open the second one. Otherwise, he will open the first one.
- D2: =if(B2=A2,false,true)
- If the player has picked the door with the prize, then switching is a good idea; otherwise, not.

Cell D2 will contain your answer -- true if you should change your mind; false if you should keep the door you picked originally. We have successfully simulated the game once.

Now comes the cool part. Select cells A2 through D2 with your mouse and drag the little "+" sign that appears at the bottom-right corner of the selection all the way down to cell D100. The selected cells will fill up with numbers, giving us the results of 99 independent simulations of the game and for each one, the answer to the main question -- "Should the player switch or not." You will notice that the word "TRUE" appears about twice as often as the word "FALSE". To get a precise count, put the following formula into cell E3: "=sum(D2:D100)/count(C2:C100)".

Here is my spreadsheet for doing this. I got 65.66% TRUE, which is just under 2/3. If you add more rows and fill them, you should get closer and closer to 66.67%.

Note that we didn't even use the values of column C to compute column D. That is not a mistake. The outcome of the game does not depend on which door Monty opens! Whether the player wins or loses depends only on the player's initial door choice.

**Forgetful Monty Hall**

It is time to make things weird. Let's change the game scenario a little bit. There are still three doors, one car and two goats, and you still get to choose the first door. But now, Monty has forgotten where the prize is! He knows he has to open one of the two remaining door, but he can't remember which one has the car. He is nervous; he is sweating. The show's producer is looking around the room in panic. Finally, Monty decides to take a wild guess and picks the door on the left. He opens it, and... whew! It's a goat. The show goes on. It's your turn to decide. Do you change your mind, or do you stick with your original decision?

You are probably thinking, "What's the difference?" What does it matter if Monty knows where the car is. The outcome is the same, right? He still opens a door with a goat behind it. Well, it turns out that in this case, it doesn't matter if the player switches or not -- the probability is 50/50. But you don't have to trust me. You have the tool to check it yourself -- simulation!

Let's start a new spreadsheet. This time, we will need 5 columns -- "Door with the prize", "Player's first choice", "Monty opens", "The show goes on" and "Should switch". Here are the formulae:

- A2: =randbetween(1,3)
- The prize is behind a random door.
- B2: =randbetween(1,3)
- The player picks the door at random initially.
- C2: =mod(B2-1+randbetween(1,2),3)+1
- Monty picks one of the other two doors at random.
- D2: =if(A2=C2,false,true)
- This is TRUE, unless Monty has opened the door that was hiding the prize. Since we know that this didn't happen, we ignore all rows that have value FALSE in this column.
- E2: =if(A2=B2,false,true)
- Same as before -- if the player has picked the door with the prize, then switching is a good idea.

Select cells A2 through E2 and drag the bottom-right corner of the selection down to cell E100.

Note that about 1/3 of the values in column D are FALSE. In my spreadsheet, I have marked them in gray. They correspond to scenarios where Monty has accidentally opened the prize door. The problem states that this is not the case, so we ignore all such rows. From the rows that remain, we count the fraction that have TRUE in column E. An easy way to do that is to type the following formula into cell D3: "=sum(filter(E2:E100, D2:D100))/sum(D2:D100)". Mine shows 45.16%. If we added more rows, that value would get closer and closer to 50%.

If Monty doesn't remember which door hides the car, then changing your mind and not changing your mind give you the same chances of winning the prize.

**So where does Schrödinger's cat come into this?**

Schrödinger's Cat is a famous paradox of quantum mechanics, where a cat can be simultaneously alive and dead, until an observer opens a box and looks inside. The act of observation seems to have a measurable effect on the physical world. I claim that the case of forgetful Monty Hall is similarly weird, if not more so.

Imagine you are a contestant on Monty's game show. You pick your door, and Monty opens one of the other ones, revealing a goat. He then offers you a chance to change your mind. You may open one of the two remaining doors and claim the prize behind it. To make things a little bit more interesting, Monty offers you an extra $100 if you

*do not*change your mind and stick with your original choice of door.

At this point, you have to ask yourself -- did Monty know where the prize was, or did he just get lucky by opening the right door at random? How certain was he? Is he tired today and thus prone to forgetfulness? If Monty is perfectly lucid, then your door has the prize 33% of the time. If he is completely out of it, then your door has the prize 50% of the time. In reality, Monty is probably somewhere in the middle, depending on his age, how much sleep he got last night and how distracted he is by the cute girl playing against you. None of this is in your control, or has anything at all to do with you! I'm calling it "spooky probabilistic action at a distance".

If you think this is weird, look at it from Monty's point of view. If he

*knows*where the prize is, he wins with probability 33%. If he doesn't, he wins half the time. Knowledge works against him! To be fair, that's not exactly true. It depends on what happens if he opens the door with the car behind it. If the punishment is getting fired from the show and ridiculed by all the TV viewers, then Monty definitely wants to know where the prize is. If instead the director simply yells "Cut!", closes the doors, shuffles the car and the goats, and we replay the round, then Monty would rather not know where the prize is. (Well, technically, he does want to know, and he would always intentionally open the door with the prize, unless you, the player, are holding that door, but then if you knew that that was Monty's strategy, you would never switch, unless... it gets complicated.)

The point is -- whether or not Monty knows something determines your optimal playing strategy.

**How bad can this get?**

Is there a situation where the mere fact of

*me*knowing something would mean the differce between a 99%-good and a 99%-bad outcome for

*you*? For starters, if you simply increase the number of doors to 100, (keeping the one car, but now requiring a sizeable herd of goats), then the 66.67% probability in the "Monty knows" case turns into a 99% probability. The "forgetful Monty" case remains at 50%. See, for example, my previous post about a 30-door version of the Monty Hall problem. Or else, you can make a tiny change to the spreadsheet and easily simulate the 100-door case yourself.

The homework question is -- can you devise a game where you win 99% of the time if I know something, and lose 99% of the time if I do not? It is tricky to understand what I mean here! Both scenarios must be exactly the same, up until the point where you have to make a critical decision. At that instant in time, your probability of winning must heavily depend on whether I know some particular fact. In the case of the 100-door Monty Hall problem, this difference in probabilities is