"How to Think about 'Implicit Bias'" (Payne, Niemi, & Doris, Scientific American, October 2020)

Core Definition of Implicit Bias

What implicit bias is

• Definition: The tendency for stereotype-confirming thoughts to pass spontaneously through our minds.

• It happens to most people, including the authors.

• It does not make someone a racist, sexist, or other "-ist" in the sense of conscious bigotry.

• It means the brain is noticing patterns and making generalizations – the same processes that make people smart can also make them biased.

Key distinction

• Implicit bias ≠ explicit bigotry.

• People can feel they are being fair while still being influenced by implicit bias.

• It sets people up to overgeneralize, sometimes leading to discrimination.

2. The Controversy Surrounding Implicit Bias

Criticisms from both sides of the political spectrum

What has been lost in the debate

• Heated debates have leaped from scientific journals to the popular press.

• Two important misunderstandings need clarification.

3. First Misunderstanding: The Implicit Association Test (IAT) is Flawed, Therefore Implicit Bias Isn't Real

What the IAT shows

• A majority of people taking the IAT show evidence of implicit bias.

• Suggests most individuals are implicitly biased even if they don't think of themselves as prejudiced.

Legitimate limitations of the IAT

The Divining Rod Fallacy

• Fallacy: Concluding that because a particular measure is flawed, the phenomenon itself is not real.

• Analogy: Just because a divining rod doesn't find water doesn't mean there's no such thing as water.

• Correct response: "What does the other evidence show?"

The mountain of other evidence (independent of the IAT)

Conclusion: None of these measures is without limitations, but each shows the same pattern of reliable bias. There is a mountain of evidence – independent of any single test – that implicit bias is real.

4. Second Misunderstanding: IAT Scores Don't Predict Individual Behavior

The Palm Reading Fallacy

• Fallacy: Expecting a psychological measure to tell you, as an individual, what your life holds in store.

• Reality: Research psychologists are not usually in the business of palm reading.

What most psychological measures actually do

• From aptitude tests to personality scales, most measures are useful for predicting how groups will respond on average, not forecasting how particular individuals will behave.

• Example: Knowing an employee scored high on conscientiousness won't tell you much about whether their work will be excellent on a specific task. But across many tasks and many employees, conscientiousness predicts work quality.

What the IAT does well

• Implicit bias researchers have always warned against using the IAT for predicting individual outcomes (e.g., how a particular manager will behave in job interviews).

• What the IAT does predict: average outcomes across larger entities (counties, cities, states).

Empirical examples of IAT predicting group-level outcomes

Significance: These correlations matter – the lives of Black citizens and newborn Black babies depend on them.

5. Field Experiment Evidence for Real-World Discrimination

Implicit bias is not just a laboratory curiosity. Field experiments demonstrate that real-world discrimination continues and is widespread.

Key observation about modern discrimination

• Today, managers are unlikely to announce that white applicants should be chosen over Black applicants.

• Physicians don't declare that Black people feel less pain than white people.

• Yet the broad pattern of discrimination and disparities persists.

• This pattern bears a much closer resemblance to implicit bias test results than to survey studies where most people present themselves as unbiased.

6. Why People Are Skeptical (A Psychological Explanation)

A simple reason

The comforting but false conclusion

• When we don't consciously entertain impure intentions, it would be comforting to conclude that all of our intentions are pure.

• Unfortunately, we can't conclude that: many of us are more biased than we realize.

Why this matters

• Implicit bias is an important cause of injustice – whether you know it or not.

7. Key Analogies & Fallacies Explained

8. Summary of Empirical Evidence Cited

9. Key Quotes (for direct reference)

10. Practical Implications for Intercultural Competence

Why this matters for intercultural studies

• Implicit bias operates below conscious awareness – even well-intentioned, self-aware individuals can exhibit it.

• Developing intercultural competence requires not just explicit attitude change but also awareness of and strategies to counteract implicit bias.

Key takeaways for educators and practitioners

1. Don't rely on self-reports alone – people genuinely believe they are unbiased, but implicit measures reveal otherwise.

2. Focus on systems and averages – individual IAT scores are noisy, but aggregate bias predicts real disparities.

3. Implicit bias is not moral failure – it's a cognitive process. This reduces defensiveness and opens the door for change.

4. Interventions should target both explicit and implicit processes – conscious reflection (storytelling, self-awareness exercises) plus structural changes (blind resume reviews, standardized protocols).

11. Further Reading (from the article)