Yes! You CAN Average Averages
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....
How to Support your Data Interpretations
Whenever we attribute meaning to the results of a data project, we are interpreting those results. We’re using what we know about the data, the analysis, the project as a whole and all kinds of preexisting knowledge, opinions and worldviews to say, “ah, if that is the...
What is a Research Question?
Here at We All Count, we spend a lot of time talking about research questions. Step 3 of the Data Equity Framework is Project Design, and that’s where you want to embed equity while crafting your research question(s), but in order to that, you need to know what a...
Pay Equity Analysis Part 3: Identifying Pay Gaps & Calculating the Equity Line
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...
Pay Equity Analysis Part 2: Defining Job Categories
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 walking you through the intersectional gender and racial pay equity audit we recommend. In part 1, we talked about what materials you’ll need to get ready. Now we’re going to talk about what to do with that data once you have it.
How to Do Pay Equity Analysis for Gender and Race
When it comes to Equity, people need to put their money where their mouths are. A key way that businesses can make sure they aren’t unfairly paying some people more than others based on their age, sex, or race is called a ‘pay equity analysis’. Undergoing a pay...
Algorithms Don’t Do Anything
The pandemic disruption created a problem for the UK education system: how to move students forward without being able to run their typical exams and tests. In response to this, testers designed an algorithm they would use to assign probable scores instead. It worked...
Choose Maps for Equity
A map isn’t just a map. The work of alternate cartographer Denis Wood often reminds me that maps are equal parts poetry and science. They can also be some of the most insidious and powerful tools of cultural oppression. Maps are a very special kind of data...
Reverse Engineering Data Viz for Equity
If you’re interested in equity in data then it’s not enough to simply design a data visualization based on 'best practices' and hope for the best. It’s important to go beyond hopeful good intentions and actually test whether or not your design is accidentally racist...
Introduction to the Funding Web
The first stage in the WAC Data Equity Framework is ‘Funding’. Understanding the interplay between money, data, and decision making is essential to measuring the equity balance in your data projects. We’ve found that it can feel very daunting to properly describe the...
