Math Goblins
smbc-comics.com
smbc-comics.com
But suppose Monty only opens the other doors if you picked the prize, then obviously you shouldn't switch.
In Monty Hall, Monty always opens a door, and you're left to choose between your picked door and one other door.
If you think that this description means that the host always opens a dud after you open the first, then you are wrong. It doesn't say that anywhere, and there is no reason to believe that this game show works that way. The only reason you think it does is that you connect it to the original Monty Hall problem which worked that way, which causes you to make the mistake thinking the same rules apply here.
If the host always opens a dud then its a monty hall problem. but if the host sometimes opens a door, the host still can't do it every time you land on the price because then you wouldn't switch. so the host would have to sometimes open the door when you're on the price and sometimes not. But then when he opens a door it would indeed become a 50/50 so an evil host's best option is to never open a door in the first place.
My brain still wants to short circuit to two doors, one prize, random selection, 50% chance.
This seems to be a wide-spread belief/bias ... if there are two choices, two options, two outcomes, then it's 50:50.
OK, I buy a lottery ticket ... either I win or I lose, so it's 50:50, right?
Of course not. If you can start to see, by default, that two options are not usually equally likely, then you start to lose this misconception.
But really, you always have this situation: the prize is behind the door you chose, or it's behind one of the other two. That always remains true, so your probability of having the prize is always 1/3, even if you get to see behind one of the other doors. You're still sticking with your original choice, or switching to both the other doors (although one of them is open, so you ignore it).
Numbers like pi and e, even though they are irrational, can still be described. There is still an algorithm that computes their digits. The same goes for 0.112358132134... or Apery's constant. But the vast majority of real numbers can never even be described.
Proof: Any description of a number (any algorithm that computes its digits) is a finite string of symbols. There are countably many finite strings of symbols, but uncountably many reals. Math goblins.
The correct formulation is "Monty knows where all the goats are and is compelled to always reveal a goat." The alternative interpretations are "Monty opens a door at random that happens to reveal a goat" (in which case the 50:50 interpretation is correct), or "Monty reveals a goat only if you picked the car" (in which case you should never switch). All three interpretations are compatible with the version stated in the comic.
It isn't a strange game. You pick one of 3 doors. The host then reveals the correct door and say you lost. Nobody would raise an eyebrow if that happened.
Lets take this scenario to show how changing would make you lose:
A conman runs a game where you pick one of 3 options and can win a prize. If you pick the correct option the conman will reveal one of the other and ask you if you want to switch. Switching then means you always lose. However if you pick the wrong one then he reveals the correct one and say you lost. So in this case following the rules of the original solutions means you are 100% likely to lose the game.
That people have such a hard time understanding this part of the problem is also due to not understanding statistics properly. If what I said above doesn't make sense to you then you don't understand the Monty Hall problem.
> You are on a game show. There are three doors, one has a prize behind them. You pick a door. The host who knows whats behind the doors opens one of the doors and reveals that it was the wrong door. Should you switch?
This description doesn't contradict my scenario at all. it doesn't say "The host will always reveals a dud no matter what happens".
Now, your intuition tells you that my scenario feels wrong since the host doesn't always do the same thing every single time, but that is how math and statistics works. We only know that the host opened this door this one time, we aren't given information about how the host acts in general. My interpretation is therefore just as valid.
Of course, for the real game the host always opened a dud door. But the original problem description didn't say that, it just described a single instance. In a single instance there isn't enough information to tell. And no, if you assume that the reader must know how the original game show worked then the problem isn't a properly defined problem, and the answer could be anything. That is how math works.
Then I think the confusion might stem from the concept of probability. I think what is meant here is probability from the point of view of the deciding person (given their knowledge). That does not have to be the real probability at all.
I don't have a good example and I am not currently well read on it, but I remember from some Bayesian book the example of the lawn being wet. So either it has rained, or the lawn sprinkler had been on. And you can reason about the probabilities. But of course either the one or the other happened (in a simplified logic world). There are no probabilities about it. The probabilities are only the estimates of the person trying to infer if it has rained or not.
OK so strictly speaking, you could create zillions of variants of the Monty Hall Problem from the scarce description. Maybe the host looked at the player funny before the show, so the player raises his estimates for the likelihood of the host being a crook (as in your casino game). Or any number of other things could affect their reasoning.
So it would be merely convention of the mathematical puzzle to assume the simplest case of everything else being random. And then of course there will be puzzles that trick you exactly with that assumption, to teach you that you shouldn't make too many assumptions. OK.
I agree that this is not as precisely stated as it could be. And unfortunately there's a type of logic puzzle that relies on people understanding these implicit quantifiers and being prepared to ignore them, which sometimes makes it hard to determine if they're supposed to be assumed present or not. But the most common interpretation is to include it.
But the problem described a specific instance. You are reading it wrong. Right now you are just digging deeper into a hole.
If the problem actually was told as you describe then you would be right, but it isn't. It just describes a single instance, you are at the show, the host opens a door, what do you do?
According to Wikipedia, the original problem statement was like this:
"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?"
It is a bad combination of being more inclined to actually respond because of boredom and being less capable in doing so properly.
(1/3) chance you initially picked car. Then, (2/2) chance the door he reveals has a goat.
(2/3) chance you initially picked a goat. (1/2) chance he reveals the car (but we will condition on this not happening) and (1/2) chance he reveals goat.
Sanity check : these (1/3)(2/2) + (2/3)(1/2) + (2/3)(1/2) add up to 1, as they should .
For the cases where he doesn’t reveal a car, and we should switch: (2/3)(1/2)
For the cases where he doesn’t reveal a car, and we shouldn’t switch: (1/3)(2/2).
So, yes, (1/3)/((1/3)+(1/3)) = 1/2 , as you say.
Likewise for 2). If Monty reveals the car, you just pick the car. I also don't think his knowledge really matters. You have 1/3 chance of picking the car. One other door is revealed to not be the car. So odds for the other door to have the car is 2/3 - you don't even need a Monty in the story.
Many descriptions of the problem don't tell you what the host's strategy actually is, so I'd guess that a lot of people who are "fooled" by the problem actually just have a different reasonable interpretation of what it's asking.
So if I switch door and pick one at random it should be 50% right even if I pick the same one I had picked before.
I trust the smart people on this, but I'm going with the math goblins explanation from now on.
In the proper setup of the problem, at no point do you pick a door at random out of two.
You start with three doors.
* You choose one, and you have a 1/3 chance that you have picked the car.
* There is a 2/3 chance that the door is behind one of the other doors.
Now, and this is a key point, Monty knows where the goat is.
* Of the other two doors, he can choose one that hides a goat. That doesn't affect your chance of being right, which remains at 1/3.
* Of the other two doors, he does choose one that hides a goat. That doesn't affect your chance of being right, which remains at 1/3.
* Of the other two doors, he opens one that hides a goat. That doesn't affect your chance of being right, which remains at 1/3.
Now there is one other unopened door.
* The chance that the door you chose holds the car remains at 1/3;
* The chance the car is behind one of the other two doors is 2/3;
* One of those two doors has been opened!
So the other closed door has a 2/3 chance of holding the car.
The information you get is which door to open if you are allowed to switch.
So the argument "your first pick is always 1/3, so you should always switch" is wrong. That doesn't normally apply. It is true in this case, but not true in the general case of problems like this since probabilities change as new information is revealed.
It does reveal new information, just not about the door you chose.
> lets say that he opened two doors with goats instead, then what is the probability of A, ie your first guess being correct?
But you can't guarantee that he can do that. If you do guarantee that he can do that then you are giving me more information.
It's always the way, if you change the problem you change the analysis.
> So the argument "your first pick is always 1/3, so you should always switch" is wrong. That doesn't normally apply.
Just because it doesn't normally apply, that doesn't mean it's wrong in this case. It does apply in this case (as you say) and therefore it's right.
Knowing when it's right is hard, I agree.
Monty could have asked the question as "Do you want to stick with the door you chose or do you think it's in one of the other two?" and skipped even opening one of them but that wouldn't have been as fun to watch.
Create a Casino, let users pick one of 3 doors, and give them 4x the money back if they pick the right one. Seems like bad odds for the casino, right? But the trick is, if they pick the right door you open another and give them the option to choose. Naïve as they are they will think that now they have 2/3 chance to win if they switch. But overall with these rules they have 0% chance to win. It will work as long as you only play the game once per person.
I know that the prize is not behind door A (because the host showed me the goat there). Given that the prize is not behind door A calculate the probability that it is behind door B. Well that's obviously 1/2. Why? Just use conditional probabilities that's what they are for. (The calculation is trivial: Event X="prize behind B", event Y="prize not behind A", P(X)=1/3, P(Y)=2/3. P(X and Y)=1/3. P(X|Y)=P(X and Y)/P(Y) = 1/2.)
Exactly why this argument is wrong is the subtle part. Of course the argument doesn't put to use part of the information given - which door I chose originally and what contract I had with the host, so this is normally enough to make one uncomfortable, but still we know that, e.g.
"In probability theory, conditional probability is a measure of the probability of an event occurring, given that another event (...) has already occurred." (source: wikipedia)
Having thought about it I find that adding some more precision to the intuitive motivation of conditional probabilities might be helpful. I certainly think twice now before using conditional probabilities to model the real world, but realizing that I should has cost me quite a bit of head scratching.
Host: Contestant, please choose one of the 3 doors
Contestant: I choose door #1
Host: Confusing jibber-jabber to raise tension and keep this fun to watch
Contestant: I don't know what to do!
Host: Do you think the prize is behind your selection, door #1, or behind any of the others?
Expressed this way there's no confusion but it's the exact same problem. The contestant first selected 1/3 doors and the host is offering to let Contestant keep that 1/3 or choose the other 2/3. Any obfuscation in between is intentional for the sake of the game.
2 doors to choose from, 1 price, 50% chance of winning, period.
And I don't care if there were initially a million doors to choose from.
That's not the situation, and the chance is not 50%. I don't care if you agree or not, you are mistaken if you think the chances are 50:50.
* There are three door, one conceals a prize;
* You choose one door;
* The host, knowing where the prize is, opens one of the other doors to reveal a non-prize;
* You have the option to stick with your choice, or to switch;
* If you stick, your probability of having the prize is 1/3;
* If you switch, your probability of having the prize is 2/3.
There's enough discussion elsewhere, or you can write your own simulation (but make sure you simulate the right thing, and not something different).
As others have pointed out, you need to know in advance that (a) the host will always open another door, (b) the host knows where the prize is located, and (c) the host will never reveal the prize.
But given that, the odds really are not 50:50.
I just can't see the point in switching; opening the door provides new information, but that information applies equally to both remaining doors.
Sorry if that makes people upset, but what am I supposed to do?
This is intuitively obvious, but where it goes wrong.
You've chosen door A. Doors B and C remain, at least one hides a goat, and the host knows where everything is.
They can always open one of B and C, so the fact that they do so tells you nothing about A.
But if they open B it tells you they didn't open C, and vice versa. So when they open a door they are telling you nothing about the door you chose, and something about the other unopened door.
> ...what am I supposed to do?
You can try writing a simulation and watch it work, but another way to think about it is this.
Suppose you choose one door, put your hand on it, then close your eyes. Now you're given the choice of sticking, or switching to both the other doors. Clearly it's to your advantage to switch. Now with your eyes still closed the host opens one of the other doors. You can still stick, or switch. In effect, switching lets you choose both of the other doors, but you can ignore the one the host opened.
Does that help?
Or maybe I missed the joke
* Suppose you can pick door A, door B, or door C.
* Two doors hide a goat. One hides a prize.
* You pick one, then the host reveals that one of the other doors hides a goat.
* Should you switch?
Let me say that I think that in this description it is fairly clearly implied that:
a) The host reveals the presence of a goat by opening one of the other doors;
b) The host will open a door, regardless of whether you picked the prize or not;
c) The host knows where the prize is, and specifically opens a door to reveal a goat.
I believe (a) because we know by counting that one of the other doors hides a goat. If saying "the host reveals that one of the other doors hides a goat" is not content free, then it must imply that the host actually does some revealing.
I believe (b) because we are told that the host does reveal a goat in (a). With no conditioning mentioned I believe it is fair to assume that the host will always open a door.
I believe (c) because if the host does not know where the prize is, then they must open a door at random, and would not be guaranteed to reveal a goat. I believe the statement as it stands precludes that.
So, can you tell us exactly why you think this is an incorrect description? Can you tell us exactly why the probability of winning the prize upon switching are not improved to 2/3?
Your belief (a) is compatible with my common sense assumption that the host's goal is to maximize drama by making me lose the car, not to help me. Your belief (b) is incompatible with my assumption, but it is not required by the wording of the Math Goblins problem. Your belief (c) is compatible with my assumption.
All of Jensson's comments in this discussion are correct, and they are being unfairly downvoted.