The Goon
Norm Smith Medallist
Thinking time
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Yes, that is an example of calculating the probability of a future event which is independent of past events.
Which has nothing to do with the Monty Hall problem.

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I haven't read through everyone's responses, but my mum's partner and I actually went through and did a bit of a simulation of this paradox -
We took three boxes - I would hide a ball underneath one of them - He would then choose a box, I would reveal an empty box and then he would automatically change is response to the other box.
I kid you not, but we each did it 100 times and when you change your response after the empty box is revealed you end up winning pretty much right on 66% of the time (or 2/3) -
Both of us won between 60 + 70 times once we switched boxes after an empty one was revealed -
That's because the odds of picking the prize on your first go is only 33% - So by switching after the first empty door is revealed, you have a 66% chance of winning the prize... Our simulation confirmed such odds

I once demonstrated the answer to this to a workmate using a dice.
It came unstuck when I guessed the correct number first up 6 out of ten times, thus "proving" that I was speaking crap....
Just had a read through of this thread for the first time and was surprised at how many people still didn't get it after it had been explained to them.
I'll try my hand at it.
The Car is behind Door #2
Switching
You pick Door #1, the host reveals that Door #3 is empty, you switch to #2 - YOU WIN
You pick Door #2, the host reveals that one of the other doors is empty, you switch to the remaining door - YOU LOSE
You pick Door #3, the host reveals that Door #1 is empty, you switch to #2 - YOU WIN
2/3 chance of winning
Not switching
You pick Door #1 - YOU LOSE
You pick Door #2 - YOU WIN
You pick Door #3 - YOU LOSE
1/3 chance of winning
Try it this way:
You choose a door - probability it has the car = 1/3
Host chooses a door - probability it has the car = 0
Only one door left - what chance it has the car?
A similar problem that has always confused me:
You offered to take one of two envelopes containing money, and told one contains twice as much money as the other.
You choose one.
You open it and find that it contains $10. You are then offered the chance to switch envelopes. You reason there's a 50% chance of the 2nd envelope containing $5, and a 50% chance of it containing $20. The weighted probability is a return of $12.50, so you decide to swap.
Seems reasonable enough.
Now, repeat the above scenario, but intead of opening your envelope, you just assume it contains $X. You make the same calculation as before, and deduce that swapping will give a weighted probability of returning 1.25 $X
ie. regardless of which envelope you chose initially, you then deduce that you will be better off swapping, without any additional information. This is crazy, but where is the fault in the logic?
I don't really the see the problem here. Imagine it was $1, with a 50% chance of $1,000,000 and 50% chance of $1/1,000,000. Surely you would just do it again and again.Monty Hall problem is getting a run on The Conversation at the moment. Interesting to read through the comments, the 'two children' riddle which got a good run here comes up there as well.
Someone posts another interesting conundrum:
Basically you are told that one has twice as much as the other, but you do not know which is which.Do you know which has the most money? Like, are you only told one has 2x the other or are you told the possibilities are $5, $10 and $20?
That is kind of what the paradox is getting at - if you have envelope x in hand, and envelope y could be eithe x/2 or 2x - each with 50% probability. That leads to an expected outcome of y = 0.5(x/2) + 0.5(2x) or y = 1.25xI don't really the see the problem here. Imagine it was $1, with a 50% chance of $1,000,000 and 50% chance of $1/1,000,000. Surely you would just do it again and again.
If you have no way of knowing the maximum, and each game is discreet with different amounts, I don't think you need to switch do you? You never know if the one you have is max, middle or minimum. Play it 1,000 times and you'll come out a (#games x middle amount) anyway won't you?Basically you are told that one has twice as much as the other, but you do not know which is which.
Also, for the purposes of the problem I don't think utility comes into account (as in, what the amount means to you personally) its just a matter of maximising the expected return.
If you have no way of knowing the maximum, and each game is discreet with different amounts, I don't think you need to switch do you? You never know if the one you have is max, middle or minimum. Play it 1,000 times and you'll come out a (#games x middle amount) anyway won't you?
Actually, no.
Say it is $1, $2 and $4.
Average is $2.33
There is only ONE option better than the average return, two below the average.
Swapping after the first pick only works if one of the envelopes is taken away as a worse option than the one you picked first or if you are told the maximum beforehand.
Ah, you mean the same envelope. I'm with you now. I thought you meant just an infinite stack of new envelopes.That is kind of what the paradox is getting at - if you have envelope x in hand, and envelope y could be eithe x/2 or 2x - each with 50% probability. That leads to an expected outcome of y = 0.5(x/2) + 0.5(2x) or y = 1.25x
So going by this you would be better off swapping and taking envelope y. But then, the same as above would apply, and so the expected value of x (not in your hand anymore) would be x = 1.25y.
Going by this you should just continue to swap - this clearly being an absurd course of action - showing that obviously the modelling of the problem, whilst seemingly correct mathematically is obviouly flawed.
That is kind of what the paradox is getting at - if you have envelope x in hand, and envelope y could be eithe x/2 or 2x - each with 50% probability. That leads to an expected outcome of y = 0.5(x/2) + 0.5(2x) or y = 1.25x
So going by this you would be better off swapping and taking envelope y. But then, the same as above would apply, and so the expected value of x (not in your hand anymore) would be x = 1.25y.
Going by this you should just continue to swap - this clearly being an absurd course of action - showing that obviously the modelling of the problem, whilst seemingly correct mathematically is obviouly flawed.
You dont automatically win the car.
You could have picked right the first time (with your first guess) and already be standing in front of the 'car' door
Switching (in this case) would result in you losing the car.
And how is it not a 50/50? Two doors remain right?
One has a car, while the other is empty.
Switching shouldnt matter in a 50/50.
Although it appears that switching in fact increases your chances of being correct and winning the car!