Bertrand Paradox Method-1 and Method-2 may be equal

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In summary, the conversation discusses the Bertrand Paradox and different methods of calculating the probability of a chord being longer than a side of a triangle within a circle. The conversation introduces different methods and shows that they can yield the same or different results, highlighting the need for a clear and unambiguous definition in order to avoid paradoxes. The resolution of the paradox is seen as defining the question accurately.
  • #1
Adel Makram
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I think that both methods (1 and 2) of Bertrand Paradox may be equivalent if the probability is represented by area of the circle enclosed by each method rather than by distances.
Please see the attached file.

In both methods, the probability is approximately 0.6.
 

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  • #2
No, neither of your methods correspond to any of Bertrand's methods 1, 2 or 3 which are simply explained and calculated on the relevant Wikipedia page and you are therefore missing the whole point of the paradox, which is that the words "select at random" can be interpreted in more than one way which results in more than one answer for the probability.

For instance in Bertrand's Method 1, first an arbitrary point is selected on the circumference (it does not matter how this first point is selected). Then another point is selected a distance ## d ## clockwise from the first point such that the probability of ## d ## falling in the interval ## (x, x+h) ## is ## \frac h{2\pi} ##. In your method you select the chord in a different manner such that this probability is different, so your calculation is not valid for Bertrand's Method 1.
 
  • #3
MrAnchovy said:
Then another point is selected a distance ## d ## clockwise from the first point such that the probability of ## d ## falling in the interval ## (x, x+h) ## is ## \frac h{2\pi} ##.

From this, it is concluded that the location of the second point on the arc between x and x+h is the random variable whose probability is to be measured.
While according to the wikipedia this sentence from the second paragraph is quoted "What is the probability that the chord is longer than a side of the triangle?" That means the cord length is the random variable in question.

That makes the whole change in the technique of calculating the probability. Again, if the area is adopted to represent the probability rather than the length or arc, then Method-1 is equivalent to Method-2.

I do not think that I missed anything. The problem for me is well stated as quoted from wikipedia. I do not have to stick to any particular technique even if it was used by Bertrand himself. I am calculating probabilities of a well-defined random variable which is the chord length.
 
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  • #4
Adel Makram said:
I do not have to stick to any particular technique even if it was used by Bertrand himself. I am calculating probabilities of a well-defined random variable which is the chord length.

You are missing the point. The techniques you have described can be called Method 4 and Method 5, and you have shown that the results for Method 4 and Method 5 are equal to each other. But the essence of Bertrand's Paradox is that Methods 1, 2 and 3 arrive at different results, and nothing you have written affects that.

Adel Makram said:
That means the cord length is the random variable in question.
Yes, and the uncertainty over the distribution of that random variable is what causes the paradox.
 
  • #5
So let me continue missing the whole point by introducing another method called Method-6. In this method, the orientation is similar to method-2 in which a point is chosen on the radius and a cord is constructed to be perpendicular to the radius. To calculate the probability of chord longer than the side of the triangle, we follow the chord until it meets with the circle circumference and then calculate the length of the arc, which represent all chord longer than the triangle side, from the point on the circle where the diameter ends to the point on the circle where a parallel line to the diameter and to the side of the triangle that is bisecting radius also meets with the circumference. It is not surprising to see that the length of the first arc=1/2 the second one which means the probability of chords longer than the triangle length is 1/3 which is equivalent to the result of Method-1

This means if we had to use the length of the arc rather than the length on a diameter in method-2, we would have ended to the exact same result of method-1, namely the probability amount of 1/3. This also means that in order to have a non-paradoxical results, it is important to have standard definition during the calculation. If we used arc lengths in method-1 we should have not changed to parts of the diameter in method-2.

So missing the point by introducing more methods yielding the same probability would create no paradox, while sticking to the point would create a paradox. This means that sometimes it is important to missing the whole point in order to solve a paradox which is created by not missing any points. This itself may be a new "Missing Points Paradox".
 
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  • #6
Adel Makram said:
This also means that in order to have a non-paradoxical results, it is important to have standard definition during the calculation.
Yes! That is the essence of Bertrand's paradox.

Like many paradoxes, Bertrand's paradox is not a puzzle that has a solution, it is a scenario that demonstrates that if we want consistent results we must define the question unambiguously. We say that this is the resolution (rather than solution) of the paradox.
 

What is the Bertrand Paradox Method?

The Bertrand Paradox Method is a mathematical problem that demonstrates the paradox of choosing a random chord on a circle and determining the probability of the chord being longer than the side of an inscribed equilateral triangle.

What are Method-1 and Method-2 in the Bertrand Paradox?

Method-1 and Method-2 are two different approaches to solving the Bertrand Paradox. In Method-1, a chord is chosen randomly on the circle and the probability of it being longer than the side of an inscribed equilateral triangle is calculated. In Method-2, a point is chosen randomly inside the circle and the distance from the point to the nearest point on the circle is calculated.

Why is it important to understand the Bertrand Paradox?

The Bertrand Paradox is important because it highlights the concept of probability and how different methods of choosing a random event can result in different probabilities. It also challenges our understanding of randomness and how to accurately calculate probabilities in certain scenarios.

What does it mean when Method-1 and Method-2 are equal in the Bertrand Paradox?

When Method-1 and Method-2 are equal, it means that the two different approaches to solving the Bertrand Paradox result in the same probability. This indicates that the problem is not well-defined and that the choice of method does not affect the outcome.

How can the Bertrand Paradox be resolved?

The Bertrand Paradox can be resolved by clearly defining the problem and the method of choosing a random event. This can help to avoid ambiguity and ensure that the same probability is calculated regardless of the chosen method.

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