Summary
Highlights
The Implicit Association Test (IAT) is introduced as the most popular tool for measuring implicit bias, which is a reaction time measure. The core insight behind the IAT is that our brains find it easier to sort concepts together if they are closely associated in our minds. The video suggests taking the test at Project Implicit to understand it better.
The IAT measures how quickly we sort various pictures and words flashed on a computer screen. Faster sorting indicates stronger associations. Using the black-white race attitude test as an example, participants first sort faces by race and words by attitude (good/bad). Then, they sort both faces and words, pressing the same key for white faces and good words, and another key for black faces and bad words. If one has a positive association with white individuals, they will perform faster in this arrangement. The test then swaps the association, requiring the same key for white faces and bad words, and black faces and good words. The time difference between these two arrangements, known as the IAT effect, reflects the strength of an attitude.
Millions of people have taken IATs over two decades, measuring attitudes on race, gender, and political preferences. The results consistently show that implicit biases are systematic and pervasive. On average, implicit attitudes predictively favor certain groups, such as young over old (80%), thin over overweight (69%), white over black (68%), and able-bodied over disabled (76%). Implicit stereotypes are also predictable, for example, 72% associate blacks with weapons, and 72% associate women with humanities over math. While there's variability among individuals, most whites show an implicit preference for whites, and even a third of African-Americans show a similar implicit preference. The video concludes by stating that no one is immune to implicit bias but encourages learning about countermeasures.