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

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Discussion Overview

The discussion revolves around the Bertrand Paradox and the equivalence of different methods for calculating probabilities related to chord lengths in a circle. Participants explore the implications of using area versus distance in their calculations and the interpretations of randomness in selecting points on the circle.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that both methods of the Bertrand Paradox may be equivalent if probability is represented by the area of the circle rather than by distances.
  • Others argue that the methods presented do not correspond to Bertrand's original methods, emphasizing that the interpretation of "select at random" leads to different probabilities.
  • A participant highlights that the location of the second point on the arc is the random variable whose probability is to be measured, suggesting that chord length is the key variable in question.
  • Another participant introduces a new method (Method-6) that parallels Method-2 and claims it yields the same probability as Method-1, arguing for the importance of consistent definitions in calculations.
  • Some participants emphasize that the essence of the paradox lies in the differing results of Bertrand's original methods, regardless of the new methods introduced.

Areas of Agreement / Disagreement

Participants express disagreement regarding the validity and equivalence of the proposed methods. There is no consensus on whether the new methods align with Bertrand's original methods or if they resolve the paradox.

Contextual Notes

Participants note that the interpretation of randomness and the definitions used in calculations significantly affect the outcomes, highlighting the unresolved nature of the paradox and the dependence on how the problem is framed.

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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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.
 
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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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.
 
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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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.
 

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