When we use data to predict something, there’s more than one way to improve the equity of that process. The one that we usually start with is setting a tolerance level for the gap between the group our predictive model works best for and the one it performs worst at....
We’ve said it before: When you need to know more than just a general average, you need an Equity Gap Score. An average tells you what happened and an Equity Gap Score tells you for who. Each piece of information needs the other to give meaning. If you have a...
BACKGROUND: We All Count asked you, our project members, for your experiences – both positive and negative – with situations where you can’t pick the data that you’re asked to work with. We heard about difficulties with poorly designed...
“We are a small population of people because of genocide. No other reason. If you eliminate us in the data, we don’t exist. We don’t exist for the allocation of resources”. – Abigail Echo-Hawk, Pawnee, Director of the Urban Indian Health Institute and Chief...
So, you’ve heard that you should never average averages. The person who told you this “rule” was probably well-intentioned; someone who didn’t want you to make a mistake by taking an average of averages without understanding the implications of doing so....
Pay equity analysis is one vital way of embedding equity with data. Not only is it the law in an increasing number of places, but it’s the right thing to do! There are numerous ways to conduct a pay equity analysis, some much better than others. In this series, we’re...
