As a quantitative measure, the forecast bias can be specified as a probabilistic or statistical property of the forecast error.

The typical performance of demand sensing systems reduces near-term forecast error by 30% or more compared to traditional time-series forecasting techniques.

Forecast errors aren't necessarily independent of each other, just as an election opinion poll that overstates the support of a political party might influence other polls.

The rapid intensification was also difficult to forecast compared to average forecast errors in a ten-year period.

Some doctors suggest that research findings in affective forecasting errors merit medical paternalism.