Correlation = Prediction not Causation

If two factors change together, they are correlated. Surprisingly, that does not mean that one factor causes the change in the other variable. Take a look at this graph to the side. This study measured chocolate consumption per person and compared it to the number of Nobel Laureates per 10 million in the population. As you can see, the countries that eat more chocolate earn more Nobel Prizes.

Because these two variables are correlated, can we say that one causes the other? No! Actually, this correlation probably has more to do with some other issue, such as the general wealth of the country, that is influencing both variables. Sadly, eating chocolate will probably not cause you to win a Nobel Prize.