Odds are 1 in 7 Auggie to be born on the same day. In an office of 8 at lest two people will always be born on same day. Now if you all went out and saw a provider on the same day those would be some big odds
Posted By: augustwest
I once worked on a team of 8 people, and three of us were born on the same day.
In probability theory, the birthday problem, or birthday paradox pertains to the probability that in a set of randomly chosen people some pair of them will have the same birthday. By the pigeonhole principle, the probability reaches 100% when the number of people reaches 366 (ignoring February 29 births). But perhaps counter-intuitively, 99% probability is reached with a mere 57 people, and 50% probability with 23 people. These conclusions must stem from the assumption that each day of the year (except February 29) is equally probable for a birthday.
The mathematics behind this problem led to a well-known cryptographic attack called the birthday attack.
Odds are 1 in 7 Auggie to be born on the same day. In an office of 8 at lest two people will always be born on same day. Now if you all went out and saw a provider on the same day those would be some big odds
Posted By: augustwest
I once worked on a team of 8 people, and three of us were born on the same day.
Unfortunately it looks like your attempt to purchase VIP membership has failed due to your card being declined. Good news is that we have several other payment options that you could try.
VIP MEMBER
, you are now a VIP member!
We thank you for your purchase!
VIP MEMBER
, Thank you for becoming VIP member!
Membership should be activated shortly. You'll receive notification!
