Tuesday, 22 October 2013

The probability of innocence



An interesting application of simple probability theory came when the Florida police department had to prosecute a defendant for buying an illegal drug, cocaine. In the US, both buying and selling cocaine is a criminal offense.
One night Florida police raided a suspicious facility, upon finding nobody, they just seized the bags lying around. Out of the 496 bags confiscated, they randomly chose four and found them to be cocaine which were immediately destroyed (not the whole batch, just the four tested to be truly cocaine). Come after few months, they randomly chose 2 packets from the lot and sold it to a person posing as drug dealers. During the same night, they arrested the person for crime of buying cocaine. They could not find the sold packets in the person’s house and neither in his body (he tested negative for drug intake).In the court the matter arose ‘What if the other packets were not cocaine’, how could the person be prosecuted without any evidence. Florida Police consulted the local statistician and asked the probability of the person being innocent. Turns out the answer could be computed without much difficulty.
Out of the 496 packets, say N are packets of cocaine and 496-N are something else, say X (which is not illegal). The probability of the person (henceforth defendant) being innocent is the probability of the event in which the defendant bought X which would be the case corresponding to the situation that Florida police chose 2 packets of X from 496-4=492 bags and sold it to the defendant.



Since N could be any number from 1..496 we will try to estimate N. The court being an authority of fairness would not convict the defendant without any strong reasons. Shuster computed the maximum likelihood estimate of the given event i.e. what must be the number N such that it maximizes the probability of innocence, which is fairly easy to compute.
Maximizing P is same as maximizing log (P) (since log is a 1-1 function). 


This function can be numerically optimized w.r.t N and since those days (which was in 1991) had good computers, the result came out to be N=331 and the probability of such an event occurring (by plugging the values back) is 0.022 which is a modestly lesser than the probability of an event in which there are 100 men (including one criminal) and you point out a random guy and proclaim him to be the culprit. Hence the defendant was prosecuted by modest application of probability theory in real life.

 References:
1.       Shuster, J.J (1991).The Statistician in a Reverse Cocaine Sting. Amer. Statist, 42,203-204.
2.       Statistical inference, Casella and Berger, 2nd edition, Duxbury Advanced Series.