In the basic Monty Hall problem, why not the probability are 50-50? [duplicate]
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The Monty Hall problem
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When reading the book of (Chapman & Hall_CRC Texts in Statistical Science) Joseph K. Blitzstein-Introduction to Probability Chapter 2. I have great puzzles about the second last paragraph.To build correct intuition, let’s consider an extreme case. Suppose that there are a million doors, 999,999 of which contain goats and 1 of which has a car. After the contestant’s initial pick, Monty opens 999,998 doors with goats behind them and o↵ers the choice to switch. In this extreme case, it becomes clear that the probabilities are not 50-50 for the two unopened doors; very few people would stubbornly stick with their original choice. The same is true for the three-door case.
The author give a extreme case. After opening the $999,998$ doors. Why 'it becomes clear that the probabilities are not $50-50$ for the two unopened doors; very few people would stubbornly stick with their original choice'? I still can not abandon the idea that the probabilities are $50-50$.
How to think about it? Thanks for any help!
probability conditional-probability monty-hall
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marked as duplicate by Mark Viola, Hans Lundmark, max_zorn, metamorphy, Cesareo Jan 25 at 10:20
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
add a comment |
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This question already has an answer here:
The Monty Hall problem
10 answers
When reading the book of (Chapman & Hall_CRC Texts in Statistical Science) Joseph K. Blitzstein-Introduction to Probability Chapter 2. I have great puzzles about the second last paragraph.To build correct intuition, let’s consider an extreme case. Suppose that there are a million doors, 999,999 of which contain goats and 1 of which has a car. After the contestant’s initial pick, Monty opens 999,998 doors with goats behind them and o↵ers the choice to switch. In this extreme case, it becomes clear that the probabilities are not 50-50 for the two unopened doors; very few people would stubbornly stick with their original choice. The same is true for the three-door case.
The author give a extreme case. After opening the $999,998$ doors. Why 'it becomes clear that the probabilities are not $50-50$ for the two unopened doors; very few people would stubbornly stick with their original choice'? I still can not abandon the idea that the probabilities are $50-50$.
How to think about it? Thanks for any help!
probability conditional-probability monty-hall
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marked as duplicate by Mark Viola, Hans Lundmark, max_zorn, metamorphy, Cesareo Jan 25 at 10:20
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
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See THIS
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– Mark Viola
Jan 24 at 15:40
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In the extreme case, your switching is effectively giving you the choice of 999,999 doors.
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– Mark Viola
Jan 24 at 16:07
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Some of the answers here might help: matheducators.stackexchange.com/questions/2679/… (It's a discussion about how to explain the thing—which brings up a variety of explanations aiming at maximum clarity.)
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– timtfj
Jan 24 at 16:38
add a comment |
$begingroup$
This question already has an answer here:
The Monty Hall problem
10 answers
When reading the book of (Chapman & Hall_CRC Texts in Statistical Science) Joseph K. Blitzstein-Introduction to Probability Chapter 2. I have great puzzles about the second last paragraph.To build correct intuition, let’s consider an extreme case. Suppose that there are a million doors, 999,999 of which contain goats and 1 of which has a car. After the contestant’s initial pick, Monty opens 999,998 doors with goats behind them and o↵ers the choice to switch. In this extreme case, it becomes clear that the probabilities are not 50-50 for the two unopened doors; very few people would stubbornly stick with their original choice. The same is true for the three-door case.
The author give a extreme case. After opening the $999,998$ doors. Why 'it becomes clear that the probabilities are not $50-50$ for the two unopened doors; very few people would stubbornly stick with their original choice'? I still can not abandon the idea that the probabilities are $50-50$.
How to think about it? Thanks for any help!
probability conditional-probability monty-hall
$endgroup$
This question already has an answer here:
The Monty Hall problem
10 answers
When reading the book of (Chapman & Hall_CRC Texts in Statistical Science) Joseph K. Blitzstein-Introduction to Probability Chapter 2. I have great puzzles about the second last paragraph.To build correct intuition, let’s consider an extreme case. Suppose that there are a million doors, 999,999 of which contain goats and 1 of which has a car. After the contestant’s initial pick, Monty opens 999,998 doors with goats behind them and o↵ers the choice to switch. In this extreme case, it becomes clear that the probabilities are not 50-50 for the two unopened doors; very few people would stubbornly stick with their original choice. The same is true for the three-door case.
The author give a extreme case. After opening the $999,998$ doors. Why 'it becomes clear that the probabilities are not $50-50$ for the two unopened doors; very few people would stubbornly stick with their original choice'? I still can not abandon the idea that the probabilities are $50-50$.
How to think about it? Thanks for any help!
This question already has an answer here:
The Monty Hall problem
10 answers
probability conditional-probability monty-hall
probability conditional-probability monty-hall
asked Jan 24 at 15:34
GideonGideon
6
6
marked as duplicate by Mark Viola, Hans Lundmark, max_zorn, metamorphy, Cesareo Jan 25 at 10:20
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
marked as duplicate by Mark Viola, Hans Lundmark, max_zorn, metamorphy, Cesareo Jan 25 at 10:20
This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.
$begingroup$
See THIS
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– Mark Viola
Jan 24 at 15:40
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In the extreme case, your switching is effectively giving you the choice of 999,999 doors.
$endgroup$
– Mark Viola
Jan 24 at 16:07
$begingroup$
Some of the answers here might help: matheducators.stackexchange.com/questions/2679/… (It's a discussion about how to explain the thing—which brings up a variety of explanations aiming at maximum clarity.)
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– timtfj
Jan 24 at 16:38
add a comment |
$begingroup$
See THIS
$endgroup$
– Mark Viola
Jan 24 at 15:40
$begingroup$
In the extreme case, your switching is effectively giving you the choice of 999,999 doors.
$endgroup$
– Mark Viola
Jan 24 at 16:07
$begingroup$
Some of the answers here might help: matheducators.stackexchange.com/questions/2679/… (It's a discussion about how to explain the thing—which brings up a variety of explanations aiming at maximum clarity.)
$endgroup$
– timtfj
Jan 24 at 16:38
$begingroup$
See THIS
$endgroup$
– Mark Viola
Jan 24 at 15:40
$begingroup$
See THIS
$endgroup$
– Mark Viola
Jan 24 at 15:40
$begingroup$
In the extreme case, your switching is effectively giving you the choice of 999,999 doors.
$endgroup$
– Mark Viola
Jan 24 at 16:07
$begingroup$
In the extreme case, your switching is effectively giving you the choice of 999,999 doors.
$endgroup$
– Mark Viola
Jan 24 at 16:07
$begingroup$
Some of the answers here might help: matheducators.stackexchange.com/questions/2679/… (It's a discussion about how to explain the thing—which brings up a variety of explanations aiming at maximum clarity.)
$endgroup$
– timtfj
Jan 24 at 16:38
$begingroup$
Some of the answers here might help: matheducators.stackexchange.com/questions/2679/… (It's a discussion about how to explain the thing—which brings up a variety of explanations aiming at maximum clarity.)
$endgroup$
– timtfj
Jan 24 at 16:38
add a comment |
3 Answers
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Let's say you pick door number $1$. Monty opens all of the other doors (revealing goats), except door number $435,991$. Do you still think the car is behind door number $1$? Put another way, does door number $435,991$ also contain a goat?
It boils down to this: There are $999,999$ ways that you can be wrong on your first guess, and just $1$ way to be correct. The odds are overwhelmingly in your favor to choose the door that Monty didn't open. There's only one door he cannot open (the one with the car).
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add a comment |
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Forget the extreme case. Just think about the original case.
Here is some intuition. Suppose you have not picked the door with the car. Then you have a goat, and Monty has no choice in which door to open (the one with the other goat). If you knew what was behind your door, you would then be certain that the unopened door contains the car. Now suppose you have picked the door with the car. Now Monty has a choice in which door to open, but in any case the unopened door contains a goat.
Now the two scenarios I have described above are NOT equally likely. How often are you in the first scenario when you have not picked the car? $2/3$ of the time, because two out of three doors contain goats. How often are you in the second scenario, when you have picked the car? $1/3$ of the time because only one door contains a car. So if you imagine playing this game many, many times, $2/3$ of the time you will be in the first scenario where the unopened door contains a car. Only $1/3$ of the time will you be in the second scenario when the unopened door contains a goat.
If you want to think about the extreme case, the situation is exactly the same, except now there's a $999,999/1,000,000$ chance you are in the first scenario, and only a $1/1,000,000$ chance you are in the second.
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add a comment |
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He opened 999,998 doors of which he knows they have a goat behind it. The door you originally selected was a random choice. So the other door that remains must almost certainly have the car.
Now consider the case where Monty doesn't know where the car is.
When he randomly opens 999,998 doors it's extremely likely that he opens the door to the car somewhere and you loose.
In the very unlikely case where Monty randomly (without knowing) opens 999,998 doors and doesn't find the car the two remaining doors will have a 50-50 probability.
But that scenario is extremely unlikely , the chance of that is one in 500,000.
So in that case you could say you have a chance of $frac{1}{500000}$ to get a 50-50 chance. Or a $frac{499999}{500000}$ chance that the door to the car is opened before reaching the last 2 doors.
Now back to the case where Monty deliberately leaves the door to the car closed that chance transfers to the box you initially didn't choose because Monty more or less tells you that the car must be in the last box, unless by coincidence it was in the box you originally chose.
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add a comment |
3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Let's say you pick door number $1$. Monty opens all of the other doors (revealing goats), except door number $435,991$. Do you still think the car is behind door number $1$? Put another way, does door number $435,991$ also contain a goat?
It boils down to this: There are $999,999$ ways that you can be wrong on your first guess, and just $1$ way to be correct. The odds are overwhelmingly in your favor to choose the door that Monty didn't open. There's only one door he cannot open (the one with the car).
$endgroup$
add a comment |
$begingroup$
Let's say you pick door number $1$. Monty opens all of the other doors (revealing goats), except door number $435,991$. Do you still think the car is behind door number $1$? Put another way, does door number $435,991$ also contain a goat?
It boils down to this: There are $999,999$ ways that you can be wrong on your first guess, and just $1$ way to be correct. The odds are overwhelmingly in your favor to choose the door that Monty didn't open. There's only one door he cannot open (the one with the car).
$endgroup$
add a comment |
$begingroup$
Let's say you pick door number $1$. Monty opens all of the other doors (revealing goats), except door number $435,991$. Do you still think the car is behind door number $1$? Put another way, does door number $435,991$ also contain a goat?
It boils down to this: There are $999,999$ ways that you can be wrong on your first guess, and just $1$ way to be correct. The odds are overwhelmingly in your favor to choose the door that Monty didn't open. There's only one door he cannot open (the one with the car).
$endgroup$
Let's say you pick door number $1$. Monty opens all of the other doors (revealing goats), except door number $435,991$. Do you still think the car is behind door number $1$? Put another way, does door number $435,991$ also contain a goat?
It boils down to this: There are $999,999$ ways that you can be wrong on your first guess, and just $1$ way to be correct. The odds are overwhelmingly in your favor to choose the door that Monty didn't open. There's only one door he cannot open (the one with the car).
answered Jan 24 at 15:42
JohnJohn
22.8k32550
22.8k32550
add a comment |
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Forget the extreme case. Just think about the original case.
Here is some intuition. Suppose you have not picked the door with the car. Then you have a goat, and Monty has no choice in which door to open (the one with the other goat). If you knew what was behind your door, you would then be certain that the unopened door contains the car. Now suppose you have picked the door with the car. Now Monty has a choice in which door to open, but in any case the unopened door contains a goat.
Now the two scenarios I have described above are NOT equally likely. How often are you in the first scenario when you have not picked the car? $2/3$ of the time, because two out of three doors contain goats. How often are you in the second scenario, when you have picked the car? $1/3$ of the time because only one door contains a car. So if you imagine playing this game many, many times, $2/3$ of the time you will be in the first scenario where the unopened door contains a car. Only $1/3$ of the time will you be in the second scenario when the unopened door contains a goat.
If you want to think about the extreme case, the situation is exactly the same, except now there's a $999,999/1,000,000$ chance you are in the first scenario, and only a $1/1,000,000$ chance you are in the second.
$endgroup$
add a comment |
$begingroup$
Forget the extreme case. Just think about the original case.
Here is some intuition. Suppose you have not picked the door with the car. Then you have a goat, and Monty has no choice in which door to open (the one with the other goat). If you knew what was behind your door, you would then be certain that the unopened door contains the car. Now suppose you have picked the door with the car. Now Monty has a choice in which door to open, but in any case the unopened door contains a goat.
Now the two scenarios I have described above are NOT equally likely. How often are you in the first scenario when you have not picked the car? $2/3$ of the time, because two out of three doors contain goats. How often are you in the second scenario, when you have picked the car? $1/3$ of the time because only one door contains a car. So if you imagine playing this game many, many times, $2/3$ of the time you will be in the first scenario where the unopened door contains a car. Only $1/3$ of the time will you be in the second scenario when the unopened door contains a goat.
If you want to think about the extreme case, the situation is exactly the same, except now there's a $999,999/1,000,000$ chance you are in the first scenario, and only a $1/1,000,000$ chance you are in the second.
$endgroup$
add a comment |
$begingroup$
Forget the extreme case. Just think about the original case.
Here is some intuition. Suppose you have not picked the door with the car. Then you have a goat, and Monty has no choice in which door to open (the one with the other goat). If you knew what was behind your door, you would then be certain that the unopened door contains the car. Now suppose you have picked the door with the car. Now Monty has a choice in which door to open, but in any case the unopened door contains a goat.
Now the two scenarios I have described above are NOT equally likely. How often are you in the first scenario when you have not picked the car? $2/3$ of the time, because two out of three doors contain goats. How often are you in the second scenario, when you have picked the car? $1/3$ of the time because only one door contains a car. So if you imagine playing this game many, many times, $2/3$ of the time you will be in the first scenario where the unopened door contains a car. Only $1/3$ of the time will you be in the second scenario when the unopened door contains a goat.
If you want to think about the extreme case, the situation is exactly the same, except now there's a $999,999/1,000,000$ chance you are in the first scenario, and only a $1/1,000,000$ chance you are in the second.
$endgroup$
Forget the extreme case. Just think about the original case.
Here is some intuition. Suppose you have not picked the door with the car. Then you have a goat, and Monty has no choice in which door to open (the one with the other goat). If you knew what was behind your door, you would then be certain that the unopened door contains the car. Now suppose you have picked the door with the car. Now Monty has a choice in which door to open, but in any case the unopened door contains a goat.
Now the two scenarios I have described above are NOT equally likely. How often are you in the first scenario when you have not picked the car? $2/3$ of the time, because two out of three doors contain goats. How often are you in the second scenario, when you have picked the car? $1/3$ of the time because only one door contains a car. So if you imagine playing this game many, many times, $2/3$ of the time you will be in the first scenario where the unopened door contains a car. Only $1/3$ of the time will you be in the second scenario when the unopened door contains a goat.
If you want to think about the extreme case, the situation is exactly the same, except now there's a $999,999/1,000,000$ chance you are in the first scenario, and only a $1/1,000,000$ chance you are in the second.
answered Jan 24 at 15:42
kccukccu
10.6k11229
10.6k11229
add a comment |
add a comment |
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He opened 999,998 doors of which he knows they have a goat behind it. The door you originally selected was a random choice. So the other door that remains must almost certainly have the car.
Now consider the case where Monty doesn't know where the car is.
When he randomly opens 999,998 doors it's extremely likely that he opens the door to the car somewhere and you loose.
In the very unlikely case where Monty randomly (without knowing) opens 999,998 doors and doesn't find the car the two remaining doors will have a 50-50 probability.
But that scenario is extremely unlikely , the chance of that is one in 500,000.
So in that case you could say you have a chance of $frac{1}{500000}$ to get a 50-50 chance. Or a $frac{499999}{500000}$ chance that the door to the car is opened before reaching the last 2 doors.
Now back to the case where Monty deliberately leaves the door to the car closed that chance transfers to the box you initially didn't choose because Monty more or less tells you that the car must be in the last box, unless by coincidence it was in the box you originally chose.
$endgroup$
add a comment |
$begingroup$
He opened 999,998 doors of which he knows they have a goat behind it. The door you originally selected was a random choice. So the other door that remains must almost certainly have the car.
Now consider the case where Monty doesn't know where the car is.
When he randomly opens 999,998 doors it's extremely likely that he opens the door to the car somewhere and you loose.
In the very unlikely case where Monty randomly (without knowing) opens 999,998 doors and doesn't find the car the two remaining doors will have a 50-50 probability.
But that scenario is extremely unlikely , the chance of that is one in 500,000.
So in that case you could say you have a chance of $frac{1}{500000}$ to get a 50-50 chance. Or a $frac{499999}{500000}$ chance that the door to the car is opened before reaching the last 2 doors.
Now back to the case where Monty deliberately leaves the door to the car closed that chance transfers to the box you initially didn't choose because Monty more or less tells you that the car must be in the last box, unless by coincidence it was in the box you originally chose.
$endgroup$
add a comment |
$begingroup$
He opened 999,998 doors of which he knows they have a goat behind it. The door you originally selected was a random choice. So the other door that remains must almost certainly have the car.
Now consider the case where Monty doesn't know where the car is.
When he randomly opens 999,998 doors it's extremely likely that he opens the door to the car somewhere and you loose.
In the very unlikely case where Monty randomly (without knowing) opens 999,998 doors and doesn't find the car the two remaining doors will have a 50-50 probability.
But that scenario is extremely unlikely , the chance of that is one in 500,000.
So in that case you could say you have a chance of $frac{1}{500000}$ to get a 50-50 chance. Or a $frac{499999}{500000}$ chance that the door to the car is opened before reaching the last 2 doors.
Now back to the case where Monty deliberately leaves the door to the car closed that chance transfers to the box you initially didn't choose because Monty more or less tells you that the car must be in the last box, unless by coincidence it was in the box you originally chose.
$endgroup$
He opened 999,998 doors of which he knows they have a goat behind it. The door you originally selected was a random choice. So the other door that remains must almost certainly have the car.
Now consider the case where Monty doesn't know where the car is.
When he randomly opens 999,998 doors it's extremely likely that he opens the door to the car somewhere and you loose.
In the very unlikely case where Monty randomly (without knowing) opens 999,998 doors and doesn't find the car the two remaining doors will have a 50-50 probability.
But that scenario is extremely unlikely , the chance of that is one in 500,000.
So in that case you could say you have a chance of $frac{1}{500000}$ to get a 50-50 chance. Or a $frac{499999}{500000}$ chance that the door to the car is opened before reaching the last 2 doors.
Now back to the case where Monty deliberately leaves the door to the car closed that chance transfers to the box you initially didn't choose because Monty more or less tells you that the car must be in the last box, unless by coincidence it was in the box you originally chose.
edited Jan 25 at 7:30
answered Jan 24 at 15:40


Rutger MoodyRutger Moody
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1,51011019
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See THIS
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– Mark Viola
Jan 24 at 15:40
$begingroup$
In the extreme case, your switching is effectively giving you the choice of 999,999 doors.
$endgroup$
– Mark Viola
Jan 24 at 16:07
$begingroup$
Some of the answers here might help: matheducators.stackexchange.com/questions/2679/… (It's a discussion about how to explain the thing—which brings up a variety of explanations aiming at maximum clarity.)
$endgroup$
– timtfj
Jan 24 at 16:38