“..since chocolate consumption has been documented to improve cognitive function, it seems most likely that in a dose-dependent way, chocolate intake provides the abundant fertile ground needed for the sprouting of Nobel laureates. Obviously, these findings are hypothesis-generating only and will have to be tested in a prospective, randomized trial.”

On the outlier he wrote:

“The only possible outlier seems to be Sweden. Given its per capita chocolate consumption of 6.4 kg per year, we would predict that Sweden should have produced a total of about 14 Nobel laureates, yet we observe 32. Considering that in this instance the observed number exceeds the expected number by a factor of more than 2, one cannot quite escape the notion that either the Nobel Committee in Stockholm has some inherent patriotic bias when assessing the candidates for these awards or, perhaps, that the Swedes are particularly sensitive to chocolate, and even minuscule amounts greatly enhance their cognition.”

You may wonder why this was not published on 1 April . Is this merely another example of “correlation doesn’t equal causation” and the tyranny of the p value (more on that in another post), or could there really be something in it? Have a read of the article and judge for yourself.

No good scientific report is worth its salt without a testimonial (here):

“I attribute essentially all my success to the very large amount of chocolate that I consume,” said Eric Cornell, an American physicist who shared the Nobel Prize in 2001.

“Personally I feel that milk chocolate makes you stupid,” he added. “Now dark chocolate is the way to go. It’s one thing if you want like a medicine or chemistry Nobel Prize, OK, but if you want a physics Nobel Prize it pretty much has got to be dark chocolate.”

* if r=1 then correlation is perfect, if r=0 then there is nor correlation at all. 0.79 is impressive.

** this means that there is a .01% chance that the correlation observed was due to random chance.

Tagged: Chocolate, chocolate consumption, Cognition, Correlation, new england journal, nobel laureates, Nobel Prize, p value, Statistics

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