Kurtosis is often used to measure the heaviness of a distribution’s tail:

KurtX=E[(XμX)4]σX4=:μ4σ4\text{Kurt}_X=\frac{\mathbb{E}[(X-\mu_X)^4]}{\sigma_X^4}=:\frac{\mu_4}{\sigma^4}

If a distribution’s kurtosis is >3\gt 3, then it’s called heavy tailed, otherwise <3\lt 3 light tailed.