# Uncertainty in Data Science 1. **Statistical uncertainty**: the gap between the **estimand**, the unobserved property of the population we wish to measure, and an **estimate** of it from observed data. 2. **Representational uncertainty**: the gap between the **desired meaning** of some measure and its **actual meaning**. 3. **Interventional uncertainty**: the gap between the **true benefit** of an intervention arising from a decision, and an **evaluation of that benefit**. --- Date: 20220215 Links to: Tags: References: * [Uncertainties: Statistical, Representational, Interventional](https://www.unofficialgoogledatascience.com/2021/12/uncertainties-statistical.html)