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Genome wide association studies are unfit for causal inference

Genome wide association studies (GWAS) are observational studies of a genome-wide set of genetic variants in different individuals to see if any variant is associated with a trait. This type of study is very new and it shows how far computer science has come, enabling us to sequence the entire genome of hundreds of thousands of individuals ifContinue reading “Genome wide association studies are unfit for causal inference”

Sociologists discuss sociological methods, physicists discuss physics

The title of this piece is a quote attributed to the great french physicist and philosopher of science, Henri Poincare. To further learn about his perspective on the discipline here is another quote of his : Nearly every sociological thesis proposes a new method, which, however, its author is very careful not to apply, soContinue reading “Sociologists discuss sociological methods, physicists discuss physics”

On the difference between statistically significant and statistically non-significant results

I’ve heard and read several statisticians use the following phrase or an equivalent, such as Andrew Gelman on his blog or Nassim Taleb on his youtube channel : The difference between “significant” and “non-significant” is not itself statistically significant But what does this mean exactly ? I did not fully understand it at first. IContinue reading “On the difference between statistically significant and statistically non-significant results”

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