Xrfgtjtk

A dad wants to play a game with his 3 children this Christmas. He has a bag with 5 hats; 1 white, 1 yellow, 1 red, 1 blue and 1 black in it. The hats are all equal except their colour. He will place one on each of their heads and if they can all guess correctly the colour on their head they all get presents this year, if they get a single one wrong they get nothing.

To make things harder the dad lines the children up so they all face the same direction. Child #1 can see #2 and #3. Child #2 can only see #3 and Child #3 cannot see anyone.

With total randomness and equal probability the dad places 1 hat on each of their heads. Child #1 has to guess first then #2 and finally #3.

Before playing the game the children come up with a strategy to optimise their chances of getting Christmas presents this year.

What is their strategy? What is the probability they get presents?

I think they can get all the way to

one in three

probability of getting all three guesses right.

There's probably a possible explanation that utilises Galois fields, modular exponents and discrete logarithms, (well, more likely just modular subtraction and averages are enough) but let's instead give each kid one of these:

.

Kid 1 then observes the other hat colours, and guesses a colour

that is as far (in the same direction) from kid 2's colour as kid 2's is from kid 3's.

For example, if kid 3 has black and kid 2 has yellow, then kid 1 guesses blue.

Then, kid 2 guesses the only colour that is

exactly halfway between 1's guess and 3's colour that can be seen.

In this example, kid 2 sees black, and hears the guess "blue", so 2 (correctly) guesses "yellow".

Kid 3, having heard two guesses, performs exactly the same operation as Kid 1.

In this example, 1 guessed "blue", and 2 guessed "yellow", so kid 3 (correctly) picks black, which is

two colours anticlockwise from yellow, just like yellow is two spots anticlockwise from blue.

This approach must be optimal, because

1. The first kid's guess can never be better than one in three, no matter what

2. The guess kid 1 makes with this system is always "possible" and never a duplicate of one of the other two colours, so its probability is one in three

3. After the first guess, the other kids always exactly know their colours.

So, yeah, that should just about do it.

I'm pretty sure there's no way to get all 3 hats correct, but

I know a way to get 2 correct 100% of the time, and 3 correct exactly 20% of the time. (I don't know about you, but I wouldn't like this guy as my dad.)

Strategy:

The children assign a value from 0 to 4 to each hat color; say, white = 0, yellow = 1, red = 2, blue = 3, black = 4. Child #1's guess should be the sum of Child #2's hat and Child #3's hat mod 5, translated into a hat color. There is a 20% chance this will be correct, because there is a 9/25 chance that either child in front is wearing the 0 hat (which makes the guess 100% incorrect), and a 12/20 (4/5)(3/4) chance that neither is (which makes the guess 33% correct.) (12/20)(1/3) = 20%.

Now,

Child #2 knows the sum mod 5 of their hat and Child #3's hat, so they can subtract Child #3's color from the sum, and get their own color.

Then,

all Child #3 has to do is subtract Child #2's guess from Child #1's guess.

(This is assuming there isn't a lateral-thinking solution like the children being able to look at their own hats.)