"Chocolate is cheaper than therapy and you don't need an appointment”
"Chocolate makes everybody smile - even bankers” Strohecker
Chocolate makes you smart according to some serious research on the power of chocolate. Dr. Franz Messerli of Columbia University wanted to uncover the myths about chocolate. He had heard that the flavanols in chocolate improve brain functioning. So "Dr Chocolate" did what scientists do: he produced a correlation which demonstrated that there is "an incredibly close relationship between chocolate consumption" and the "number of Nobel prize laureates per capita". These findings were published in the New England Journal of Medicine, one of the leading medical journals in the world.
Chocolate consumption and Nobel laureates
The BBC's More or Less team decided to check out this claim - performing a random test by calling up a few Nobel Laureates. Christopher Pissarides, from the London School of Economics, reckons his chocolate consumption laid the foundations for his Nobel Prize for Economics in 2010. "Throughout my life, ever since I was a young boy, chocolate was part of my diet. I would eat it on a daily basis. It's one of the things I eat to cheer me up. To win a Nobel Prize you have to produce something that others haven't thought about - chocolate that makes you feel good might contribute a little bit. Of course it's not the main factor but... anything that contributes to a better life and a better outlook in your life then contributes to the quality of your work."
Robert Grubbs, an American who shared the Nobel Prize for Chemistry in 2005, says he eats chocolate whenever possible. "I had a friend who introduced me to chocolate and beer when we were younger. I have transferred that now to chocolate and red wine. I eat chocolate whenever I can."
Eric Cornell, who won the Nobel Prize in Physics in 2001, told Reuters: "I attribute essentially all my success to the very large amount of chocolate that I consume.… dark chocolate is the way to go."
Now we at Melt also think dark chocolate is the way to go but we are not saying correlation creates causation - but why take the risk?