Probability of birthdays shared in a group

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Discussion Overview

The discussion revolves around the probability of shared birthdays within a group of 23 people. Participants explore different methods of calculating this probability, addressing concepts of independence and overlapping events in probability theory.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant presents a formula for calculating the probability that any two people share a birthday, questioning the validity of a simpler approach involving combinations and a basic probability calculation.
  • Another participant suggests that the simpler approach fails to account for overlaps between events, emphasizing that the events are not independent.
  • A participant seeks clarification on the difference between conditional probabilities of pairs of individuals sharing birthdays, indicating confusion about the concept of independence.
  • Further discussion highlights that while the probabilities may be the same, the events themselves differ, which is crucial to understanding the problem.
  • One participant reiterates the definition of independence in probability, expressing confusion and seeking alternative explanations for the non-independence of the events in question.
  • Another participant prefers a formulation of independence that allows for chaining multiple events together, while also advocating for a common-sense understanding of the non-independence of the events discussed.

Areas of Agreement / Disagreement

Participants express differing views on the appropriate method for calculating the probability of shared birthdays, with some arguing for the necessity of accounting for overlapping events and others proposing simpler calculations. The discussion remains unresolved regarding the best approach to take.

Contextual Notes

Participants acknowledge the complexity of the problem, particularly regarding the independence of events and the implications of overlaps in probability calculations. There are unresolved aspects related to the mathematical steps involved in the proposed calculations.

IniquiTrance
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In a group of 23 people, the probability that any 2 people share a birthday is:

1 - \frac{365!}{342!365^{23}}

Why can't I just do the following?

(23\mathbf{C}2)(\frac{1}{365})

Thanks!
 
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Hi IniquiTrance! :smile:

Do you mean 1 - 23C2/365 ?

because there are "overlaps" that you aren't subtracting …

the individual events (of one particular pair not sharing the same birthday) are not independent … eg the pairs Tom and Dick, Tom and Harry, and Dick and Harry, are not independent. :wink:
 
Hmm, I kind of see what you're saying...

But why is say P(Tom and Harry|Dick and Harry) different than P(Tom and Harry)?
 
Yes, the probabilities are the same, but the events are different. :wink:
 
Thanks for your response. I'm on the verge of uynderstanding it, can you think of any other way to explain it?

I thought the definition of independence is that E_{i} and E_{j} are independent events so long as P(E_{i}|E_{j}) = E_{i}

and P(E_{j}|E_{i})= E_{j}

A bit confused...
 
IniquiTrance said:
I thought the definition of independence is that E_{i} and E_{j} are independent events so long as P(E_{i}|E_{j}) = E_{i}

and P(E_{j}|E_{i})= E_{j}

I prefer to write it P(Ei and Ej) = P(Ei)P(Ej).

(because, that way, you can string more than two together)

But it's much easier just to use common-sense, and to say that the three events of Tom and Dick, Tom and Harry, and Dick and Harry, sharing (or not sharing) a birthday are obviously not independent. :smile:
 
I wrote something about this a while ago in my http://yabm.wordpress.com/2010/02/16/a-bunch-of-people-in-a-room/"
 
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