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The Birthday Paradox
Suppose that there are
possible birthdays (in our case,
) and
people in a room. How likely is it that two of the
people have the same birthday?
Assume that birthdays are uniformly and independently distributed over
.
If person
has a birthday
, then
are all of the birthdays of all people in the room.
Thus the event
has probability
Let us calculate the probability
of the event that all
people have a different birthday. We are interested in the complementary event where 2 or more people share the same birthday:
Suppose that
is the subset of vectors in
that have distinct entries.
Recall that
holds for all real numbers. Hence
Let's estimate the probability that
.
This is the case where
Since
This is surprisingly often.
The Hat Game
players, each of them assigned a red or blue hat at random.
Players simultaneously guess the colors of their own hats. Passing is allowed.
At least one correct guess and no incorrect guesses leads to a WIN!
- A player gets no information about his own hat from looking at his teammates hats
- No strategy can guarantee victory
Easy strategy: 1 person guesses, everyone else passes
Better Strategy
For n = 3, if you see two different colors, say the other color. If you see two different colors, pass.
| configuration |
Guesses
|
| BBB |
RRR
|
| BBR |
PPR
|
| BRB |
PRP
|
| BRR |
BPP
|
| RBB |
RPP
|
| RBR |
PBP
|
| RRB |
PPB
|
| RRR |
BBB
|
Probability of success is now 75%
However, there were 6 correct and 6 incorrect guesses (higher concentration of incorrectness in the edge cases).