Strange counterintuitive probability problem

In summary, The conversation discusses a famous problem that involves probability and decision-making on a game show. The host, Monty Hall, opens one of the doors to reveal a goat and then gives the contestant the option to stick with their original choice or switch to the remaining door. The correct answer is to switch as it increases the chances of winning the prize. This problem has been proven to be difficult for many people, including university professors and a famous mathematician. The key to understanding the solution is to consider the prior probabilities and the effect of the host's actions. The conversation also introduces a variant of the problem with 1000 doors to highlight this key factor.
  • #1
jspstorm
8
0
Could someone please tell me if this is true or not, and if it is true, help me to understand why?

This is a famous demonstration of how hard we find it to work out probabilities. When it was published in Parade magazine in 1990, the magazine got around 10,000 letters in response92% of which said that their columnist, Marilyn vos Savant, had reached the wrong conclusion.2 Despite the weight of correspondence, vos Savant had reached the correct conclusion, and here's the confusing problem she put forward, based roughly on the workings of the old quiz show Let's Make a Deal presented by Monty Hall.

Imagine you're a participant on a game show, hoping to win the big prize. The final hoop to jump through is to select the right door from a choice of three. Behind each door is either a prize (one of the three doors) or a booby prize (two of the doors). In this case, the booby prizes are goats.

You choose a door.

To raise the tension, the game-show host, Monty, looks behind the other doors and throws one open (not yours) to reveal a goat. He then gives you the choice of sticking with your choice or switching to the remaining unopened door.

Two doors are left. One must have a goat behind it, one must have a prize. Should you stick, or should you switch? Or doesn't it matter?

Most people get this wrongeven those with formal mathematics training. Many of the thousands who wrote to Marilyn vos Savant at Parade were university professors who were convinced that she had got it wrong and insisted she was misleading the nation. Even the famous Paul Erdos, years before the Parade magazine incident, had got the answer wrong and he was one of the most talented mathematicians of the century (and inspiration for Erdos numbers, which you may have heard of3).

The answer is that you should switch you are twice as likely to win the prize if you switch doors than if you stick with your original door. Don't worry if you can't see why this is the right answer; the problem is famous precisely because it is so hard to get your head around. If you did get this right, try telling it to someone else and then explaining why switching is the right answer. You'll soon see just how difficult the concepts are to get across.


The chance you got it right on the first guess is 1 in 3. Since by the time it comes to sticking or switching, the big prize (often a car) must be behind one of the two remaining doors, there must be a 2 in 3 chance that the car is behind the other door (i.e., a 2 in 3 chance your first guess was wrong).

Our intuition seems compelled to ignore the prior probabilities and the effect that the game show host's actions have. Instead, we look at the situation as it is when we come to make the choice. Two doors, one prize. 50-50 chance, right? Wrong. The host's actions make switching a better bet. By throwing away one dud door from the two you didn't choose initially, he's essentially making it so that switching is like choosing between two doors and you win if the prize is behind either of them.

Another way to make the switching answer seem intuitive is to imagine the situation with 1000 doors, 999 goats, and still just one prize. You choose a door (1 in 1000 chance it's the right door) and your host opens all the doors you didn't choose, which have goats behind them (998 goats). Stick or switch? Obviously you have a 999 in 1000 chance of winning if you switch, even though as you make the choice there are two doors, one prize, and one goat like before. This variant highlights one of the key distractions in the original problemthe host knows where the prize is and acts accordingly to eliminate dud doors. You choose without knowing where the prize is, but given that the host acts knowing where the prize is, your decision to stick or switch should take that into account.
 
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  • #2
Again?

This was, by the way, a homework problem in the first chapter of an introductory statistics text (don't recall the authors right now) so it is neither very difficult nor very "counterintuitive".
 

Related to Strange counterintuitive probability problem

1. What is a "strange counterintuitive probability problem"?

A "strange counterintuitive probability problem" is a type of problem that goes against our intuition or common sense when it comes to understanding probability. These problems often involve situations that are seemingly impossible or highly unlikely, but are actually quite possible according to mathematical principles of probability.

2. Can you provide an example of a strange counterintuitive probability problem?

Sure, one example is the "Monty Hall Problem". In this problem, a game show contestant is presented with three doors, one of which contains a prize. After the contestant chooses a door, the host opens one of the other two doors to reveal that it does not contain the prize. The contestant is then given the option to switch their choice to the remaining unopened door. Surprisingly, it is actually statistically advantageous for the contestant to switch their choice, despite the fact that there are only two doors left.

3. Why do these types of problems seem so counterintuitive?

These problems often go against our intuition because our brains tend to rely on heuristics (mental shortcuts) to make quick judgments and decisions. When it comes to probability, our heuristics can lead us astray because they are based on our past experiences and assumptions, rather than the actual mathematical principles of probability.

4. How can understanding strange counterintuitive probability problems be useful?

Understanding these types of problems can help us make more informed decisions in situations where probability plays a role. By recognizing our tendency to rely on heuristics, we can take a step back and use logical reasoning and mathematical principles to make more accurate predictions and decisions.

5. Are there any real-life applications of strange counterintuitive probability problems?

Yes, there are many real-life scenarios where understanding strange counterintuitive probability problems can be useful. For example, in the field of finance, understanding probability can help investors make better decisions when it comes to managing risk. In legal settings, understanding probability can be crucial in evaluating evidence and making informed judgments. Overall, understanding these types of problems can help us think critically and make more rational decisions in many different situations.

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