March 2019

I recently read Nassim Taleb’s book The Black Swan: The Impact of the Highly Improbable). It had me looking back at how much I hated the “bag of marbles” way of teaching probability. In this post I will show two simple examples to give you a fresh perspective on how we understand probability.

One of a community's best defenses against natural perils is making sure that strong building codes are adopted and well-enforced.

In this post we discuss how, with an initial focus on the product side, the team at Arium analyzed systemic factors that could affect the marijuana industry to quantify marijuana-related liability losses.

In late January 2019 the polar vortex moved southward over parts of the Midwest and generated two weeks of abnormally sub-freezing temperatures

Heart disease and cancer are the first and second leading causes of death today in the United States (and most of developed countries), thanks to continuous improvements in infectious disease mortality since late 1930s.

The size of the marijuana market is growing as about 20% of the U.S. now lives in a marijuana-regulated state. What does this mean for liability insurance?

In recent years, modeling technology has advanced to add flood risk estimation to the insurer's toolkit. Aided by increased computational power and high-quality digital data sets, models now allow probabilistic simulation of flood risk at a national scale.