Is 1 in a Trillion Coincidence? Not Really, Experts Find

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Presentation transcript:

Is 1 in a Trillion Coincidence? Not Really, Experts Find Group 3

OUTLINE Questions to be addressed New Jersey Lottery The Law of Very Large Number Multiple end points Close but not exact Conclusion Take home message

Questions to be addressed What is the major problem? How was the problem solved?

Is it a coincidence? When a woman won the New Jersey Lottery twice in four months, it was widely reported as an amazing coincidence that beat the odds of one in 17 trillion. After much analysing, the experts found out that the chances that such an event could happen to someone in the United States was more like one in 30. With a large enough sample, any outrageous thing is apt to happen

THe Law of Very Large Number The law of truly large number states that even if there is only a one in million chance that something will happen, it will eventually happen given enough time and people. So if something happens to only one in a million people per day and the population of the United States is 250 million, we can expect to have 250 amazing coincidences everyday.

Right answer, wrong question One in 17 trillion is the odds that a given person who buys a single ticket for exactly two New Jersey lotteries will win both times. The question is “What is the chance that some person, out of all the millions and millions of people who buy lottery tickets in the United States, hits a lottery twice in a lifetime?” So like the odds of this happening is actually 1 in 30 which is quite possible.

Multiple end points Another principle that demystifies many coincidences is called the multiple end points occasion. The multiple end points occasion refers to that anything that two strangers have in common can be counted as a coincidence-(same birthday,same first or last name,etc..) So when two people discovered that they come from the same hometown, it may seem coincidental at first.But,in fact, the chances of them getting a match is actually quite significant.

Close but not exact The third category of coincidences is those that are close but not exact. Such form of coincidences have a high probability of occurring. For eg, with 23 people in a room,you have a 0.5 probability of finding two people having the same birthday. But you only need 7 people and you will have a 0.5 probability of finding a match between two people having the same birthday within a week.

conclusion By analysing coincidence with these three principles (The law of very large number, multiple end points and coincidence that are close but not exact), what looks unexpected usually turns out to be expected. Why does an educated person think there might really be something in coincidences? → No one story holds up on its own. But taken together, they mean something. Take home message:A lot of flawed arguments don't produce a sound conclusion (fundamental law of logic)