Prejudice and Discrimination: Crash Course Psychology #39

Main ideas / lessons

• Case study of fatal “pre-judgment” (implicit bias)

  • In February 1999, police officers in the Bronx confronted Amadou Diallo, a 23-year-old immigrant from Guinea, who was reaching for his wallet/ID.
  • Officers believed he was suspicious, confronted him, and he was killed after being shot 19 times out of 41 bullets fired.
  • The episode uses this event (discussed in Malcolm Gladwell’s Blink) to illustrate how there can be a “grey area” between deliberate violence and accident-like outcomes driven by non-conscious (implicit) biases rather than overt hatred.

• Why the focus is on subtle, non-conscious prejudice

  • The video emphasizes that prejudice can be:
    • Overt (clear, explicit bigotry), but also
    • More insidious: implicit, automatic, and non-conscious.
  • Implicit bias can affect high-stakes outcomes (e.g., hiring, pay, housing, and whether people are randomly stopped or killed).

• Definitions: prejudice vs. stereotyping vs. discrimination

  • Prejudice = “prejudgment”: an unjustified, typically negative attitude toward an individual or group.
  • Stereotyping = a generalized belief/process about a group; it may be neutral or even accurate, but when tied to prejudice it often becomes harmful.
  • Discrimination = behavioral actions that occur when prejudice + emotions/assumptions lead to unjust treatment (e.g., refusing to hire someone).

• Prejudice exists on a continuum, from extreme to subtle

  • The video cites extreme historical examples of violent discrimination (e.g., apartheid, Nazism’s mass killings, and religious violence such as conflict between Protestants and Catholics).
  • It also notes progress in some overt attitudes (example given: increased willingness in the US to elect a qualified woman for president from 1937 to 2007), while stressing that subtle biases can persist.

• Implicit prejudice and why people may not be able to report it honestly

  • The video links prejudice to dual-process ideas:
    • People can be aware of explicit thoughts, but
    • implicit cognition operates “under the radar.”
  • Even when asked directly about attitudes, people may not give truthful answers because their implicit associations still influence behavior.

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Methodology / tool described: Implicit Association Test (IAT)

• Purpose

  • To measure implicit attitudes/identities/beliefs/biases that people may be unwilling or unable to report.

• How it works (timed categorization)

  • Participants complete a timed sorting task where they categorize items using left/right keys.
  • Example: age-related IAT
    • Participants view faces (old vs. young) and objects (pleasant vs. unpleasant).
    • Two conditions are compared:
      • Stereotypical pairing condition
        • Example instructions:
          • Press left key for young face OR pleasant object
          • Press right key for old face OR unpleasant object
        • This effectively associates goodness with youth and badness with older age.
      • Counter-stereotypical pairing condition
        • Example instructions:
          • Press left key for young face OR unpleasant object
          • Press right key for old face OR pleasant object
    • Key scoring principle
      • The test focuses on reaction time.
      • If a person is faster with the stereotypical pairing than the counter-stereotypical pairing, that suggests an implicit association (even if the person believes they are not prejudiced).

• Interpretation claim (as presented)

  • The IAT is described as:
    • Widely used in research
    • Surprisingly predictive of discriminatory behavior across experiments (despite critics).

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Research example provided: gender bias in hiring (Yale study)

• Study cited

  • A 2012 Yale study led by Corinne Moss-Racusin

• Design

  • Double-blind study
  • Science faculty were asked to hire a fictional applicant for a lab-manager job.

• Manipulation

  • The applicant’s name was changed:
    • Jennifer vs. John

• Findings

  • Faculty evaluated Jennifer as less competent than John
  • Were:
    • Less likely to hire
    • Offered less money
    • Less likely to mentor

• Important nuance emphasized

  • Bias can be present on both sides of stereotypes:
    • Even women faculty showed similar patterns.

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Main causes of prejudice discussed

1. Just-world phenomenon

   • People may believe that:
     • Individuals “get what they deserve,” and
     • “deserve what they get,”
   • Which helps justify existing social inequalities.

2. Ingroup-outgroup phenomenon (us vs. them)

   • Dividing people into ingroup vs outgroup encourages:
     • in-group bias
     • prejudice and discrimination

   • Also provides solidarity and a sense of safety for ingroup members—even when irrational.

   • Classroom exercise illustrating ingroup bias (instruction-like description)

     • Divide a class into two arbitrary groups (example used: sneakers vs. no sneakers).
     • Each participant:
       • sits with their assigned group
       • is asked to list differences between their group and the opposing group.
     • Over time, lists become more extreme:
       • One group inflates themselves (“we’re smarter”)
       • The other group is derogated (“low-class,” “trashy”)
     • The video’s point: even meaningless group distinctions can rapidly generate conflict.

3. Link to conflict and violence

   • The video connects “us vs. them” mentality to how it can fuel aggression and warfare (with an explicit teaser that this will be discussed next time).

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Conclusion of the episode

• Recap of what was learned:
  • Prejudice, stereotyping, and discrimination shape social interactions.
  • Prejudice can be non-conscious and automatic.
  • The IAT is one method to measure implicit bias.
  • Ingroup-outgroup dynamics can drive strong favoritism that may escalate into aggression.

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Speakers / sources featured

• Malcolm Gladwell (source of the referenced discussion in Blink)
• Corinne Moss-Racusin (lead author of the cited 2012 Yale study)
• Dr. Ranjit Bhagwat (consultant)
• Kathleen Yale (episode writer)
• Blake de Pastino (editor)
• Shane Barr (sponsor; author of the book Reset)
• Nicholas Jenkins (director and editor)
• Michael Aranda (script supervisor and sound designer)
• Thought Cafe (graphics team)