# Bertand’s paradox [R details]

**Xi'an's Og » R**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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**S**ome may have had reservations about the “randomness” of the straws I plotted to illustrate Bertrand’s paradox. As they were all going North-West/South-East. I had actually made an inversion between cbind and rbind in the R code, which explained for this non-random orientation. Above is the corrected version, which sounds “more random” indeed. (And using wheat as the proper, if weak, colour!) The outcome of a probability of 1/2 has not changed, of course. Here is the R code as well:

lacorde=rep(0,10^3) plot(0,0,type="n",xlim=c(-2,2),ylim=c(-2,2)) for (t in 1:10^3){ #distance from O to chord dchord=10 while (dchord>1){ #Generate "random" straw in large box till it crosses unit circle a=runif(2,-10,10) b=runif(2,-10,10) #endpoints outside the circle if ((sum(a^2)>1)&&(sum(b^2)>1)){ theta=abs(acos(t(b-a)%*%a/sqrt(sum((b-a)^2)*sum(a^2)))) theta=theta%%pi thetb=abs(acos(t(a-b)%*%b/sqrt(sum((b-a)^2)*sum(b^2)))) thetb=thetb%%pi #chord inside if (max(abs(theta),abs(thetb))

As a more relevant final remark, I came to the conclusion (this morning while running) that the probability of this event can be anything between 0 and 1, rather than the three traditional1/4,1/3and1/2. Indeed, for any distribution of the “random” straws, hence for any distribution on the chord lengthL, a random draw can be expressed asL=F⁻¹(U), whereUis uniform. Therefore, this draw is also an acceptable transform of a uniform draw, just like Bertrand’s three solutions.

Filed under: Books, R, Statistics Tagged: Bertrand's paradox, chord, E.T. Jaynes, height, probability theory, R, simulation, triangleToleave a commentfor the author, please follow the link and comment on their blog:Xi'an's Og » R.

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