Understanding the Probability of Coincidences: A Mathematical Perspective

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In summary, the author of a book on coincidences explains that the chance of experiencing one of 100 rare events in a period of 20 years is 52%. They also mention that for every group of 20 people, there is a greater than 50% chance that one person will have an amazing story to tell within a year, based on the same probability. The author is not referring to a 95% confidence interval and this probability is independent of both years and people.
  • #1
musicgold
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Hi,

I am reading a book that explains the mathematics behind coincidences experienced in our daily lives. In one example, the author derives that the chance that you will at least once experience one of a set of 100 rare events (each with a one-in-million chance of occurring on any day) in a period of 20 years is as high as 52%. I understand this part completely.

What stumps me is the author’s following comment: It means that for every 20 people you know, there is a greater than 50% chance that one of them will have an amazing story to tell during the course of a year.

My questions are:
1. Is the author using the 1 of 20 phrase, to indicate a 95% confidence interval (19 out of 20 times)?

2. How the author expects one of a group of 20 to experience a coincidence in a year’s time?


Thanks,

MG.
 
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  • #2
1. No. This has nothing to do with "confidence intervals".

2. You say you understand the probability of such an experience for one person, in 20 years is 0.52. All the second part is saying is that since "years" are independent (you are no more likely to have such an experience in one year than another) and "people" are independent (one person is nor more likely to have such an experience that another person), it doesn't matter whether you distribute over "years" or "persons". The probability that at least one person out of 20 will have such an experience in a given years is the same as that a given person will have at least one such an experience over 20 years: 0.52 or "a greater than 50% chance".
 
  • #3
HallsofIvy,

Thanks a lot. Great explanation !
 

FAQ: Understanding the Probability of Coincidences: A Mathematical Perspective

What is the probability of two people having the same birthday?

The probability of two people having the same birthday is approximately 1 in 365, or 0.273%. This may seem low, but in a group of 23 people, there is a 50% chance that two of them will share the same birthday.

How is the concept of "coincidence" explained in mathematics?

In mathematics, a coincidence is defined as an event or situation where two or more things happen at the same time by chance. This is often explained using probability, where the likelihood of certain events occurring at the same time is calculated.

Can mathematical equations predict coincidences?

No, mathematical equations cannot predict coincidences. While probability can help us understand the likelihood of certain events occurring together, coincidences are still considered to be random and unpredictable.

What is the difference between a coincidence and a correlation?

A coincidence is a random occurrence where two or more events happen at the same time by chance, while a correlation is a relationship or pattern between two or more variables. While a correlation may seem like a coincidence, it can often be explained and predicted by mathematical equations.

Are there any real-world applications of the study of coincidences in mathematics?

Yes, the study of coincidences in mathematics has several real-world applications, such as in data analysis and decision making. By understanding the probability and patterns behind coincidences, we can make more informed decisions and identify potential correlations in data.

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