We aren’t treating tribalism as a basic human drive, but that’s what it is. Fast food lowered the cost to satisfy a basic drive, and we grew fat. Then we figured it out. Social media lowered the cost to exhibit tribal behaviors, and we are growing apart. But we can figure this out too.
In this episode of the You Are Not So Smart Podcast, we spend time with political scientist Lilliana Mason and psychologist Dan Kahan, two researchers exploring how our tribal tendencies are scrambling public discourse and derailing so many of our best efforts at progress — from science communication, to elections, to our ability to converge on the truth and go about the grind of building a better democracy.
In the show, we explore how some incorrect beliefs can be changed with facts alone, with evidence. For those kinds of beliefs, like “It’s going to rain on Sunday,” when we learn new information, we update our priors.
To manage our beliefs in this way is to think, as they say in some circles, like a Bayesian, a term that doffs its hat to the 18th century statistician Thomas Bayes who used a pen and paper to scribble out a formula to describe how that kind of reasoning works. To think like a Bayesian, you imagine your beliefs as a percentage of confidence instead of a simply true or false. So, instead of saying “I believe my hamster is alive and well,” you would say, “I am 70 percent sure that my hamster is alive and well, based on the evidence available to me at this time.”
If we were driven by the pursuit of accuracy above all else, Bayesian reasoning would be how we updated all of our beliefs, but we aren’t and it isn’t. That’s because humans are motivated reasoners. We interpret facts in ways that best meet our goals, and our goals are not always the pursuit of the truth.
In a professional domain like medicine, science, academia, or journalism, people are trained to pursue accuracy, to operate within a framework that helps them overcome other motivations. But we are not always motivated by such empirically lofty goals. Outside of fact-based professions, we are often more motivated to maintain our social support networks, or prevent the decoherence of our identity, or keep our jobs or our bonds with our family or our churches, so if doing so means being wrong about climate change or the moon landing or gun control, that’s an acceptable price to pay to reach such goals.
As you will learn, the latest evidence coming out of social science is clear: Humans value being good members of their tribes much more than they value being correct, so much so that we will choose to be wrong if it keeps us in good standing with our peers.
Once an issue becomes politicized, it leaves the realm of evidence-based reasoning and enters the realm of tribal signaling. It’s always been a challenge to progress, but the power of modern media and modern social media has allowed humans to signal their tribal loyalties on a scale that has never, ever been possible, and this one thing might just be what is driving our intense, modern polarization problem.
Compromise and agreement on policies and laws and decisions and judgments and notions of what is and is not true will naturally become more and more difficult as our ability to signal to others to which tribes we belong increases. In this episode, we learn why this is true, and what we can do about it.
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Lilliana Mason is professor of Government and Politics at the University of Maryland where she researches partisan identity, partisan bias, social sorting, and American social polarization. She is the author of Uncivil Agreement: How Politics Became Our Identity, and her work has been featured in the New York Times, the Washington Post, CNN, and National Public Radio.
Dan Kahan is a professor of law and psychology at Yale Law School were he studies risk perception, criminal law, science communication, and the application of decision science to law and policymaking. Today he is a member of the Cultural Cognition Project, an team of scholars “who use empirical methods to examine the impact of group values on perceptions of risk and related facts.”
Links and Sources
- Party Over Policy: The Dominating Impact of Group Influence on Political Beliefs
- Social Categorization and Similarity in Intergroup Behaviour
- About the impact of automaticity in the Minimal Group Paradigm: evidence from active priming tasks
- Seeing “us vs. them”: Minimal group effects on the neural encoding of faces
- Cultural Variation in the Minimal Group Effect
- Science Curiosity and Political Information Processing
- ‘Ordinary science intelligence’: a science-comprehension measure for study of risk and science communication, with notes on evolution and climate change
- Climate-Science Communication and the Measurement Problem
- Motivated numeracy and enlightened self-government
- Ideology, motivated reasoning, and cognitive reflection
- Cultural Variation in the Minimal Group Effect
Image Source: Wikimedia Commons