What Global Long Read Sequencing Means for the Future of Work and Creativity

Long read, also known as "long tail risk," refers to risks that are potentially severe but have a low probability of occurring. They represent outcomes of very low frequency but very high severity under an unknown probability distribution. Examples of long read risks include pandemics, cyberattacks, terrorism, earthquakes, and other hard-to-predict catastrophic events. Unlike more common risks that can be modeled statistically based on past data, long read risks are difficult to quantify precisely due to lack of historical precedents.

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