TLDR4U
Perceptions of race
This article explores the cognitive mechanisms behind the human tendency to encode an individual’s race. The authors argue that since genetic evidence shows humanity is not divided into distinct biological races, the brain mechanisms for encoding race cannot have evolved for that specific purpose. Instead, race encoding must be a by-product of computational machinery that evolved for an alternative function.
The article evaluates three main hypotheses for this phenomenon:
1. Perceptual/Correlational Systems: This view suggests race is encoded as a by-product of general-purpose systems that detect perceptual clusters like skin colour. However, the authors present evidence against this, noting that colour encoding is not automatic when it lacks social significance and that instructions affecting perceptual tasks do not alter race encoding.
2. Essentialist Reasoning: This hypothesis posits that race encoding is a by-product of an inference system designed for reasoning about “natural kinds” (like animal species). This system treats racial groups as if they have deep, underlying essences, which would explain why people make strong inferences about traits based on race.
3. Coalitional Psychology: The authors’ preferred hypothesis is that race encoding is a by-product of cognitive machinery that evolved for tracking shifting alliances and coalitions. In societies where race is correlated with patterns of cooperation and conflict, the mind uses race as a proxy for coalitional affiliation. Crucially, experiments show that race encoding can be diminished or eliminated when subjects are exposed to a social context where coalition membership is unrelated to race, supporting the idea that this mechanism is flexible and not mandatory.
In conclusion, the authors suggest that different aspects of racial thinking might be generated by different cognitive systems, but the encoding of race itself is best explained as a flexible by-product of an evolved capacity for tracking coalitions.
Cognitive Obstacles to Pro-Vaccination Beliefs
This article examines why pro-vaccination beliefs struggle to spread while vaccine hesitancy persists, drawing on cultural attraction theory and the concept of epistemic vigilance. The central argument is that pro-vaccination beliefs are counter-intuitive, making them less likely to be accepted and transmitted, whereas anti-vaccination beliefs align better with intuitive cognitive mechanisms.
Several cognitive factors contribute to this:
• Disgust Psychology: An intuitive aversion to contaminants makes people wary of vaccines, which contain small amounts of substances perceived as harmful.
• Omission Bias: People intuitively view harm caused by an action (vaccinating) as morally worse than harm from an inaction (not vaccinating), leading them to fear vaccine side effects more than the diseases they prevent.
• Disease Saliency: The very success of vaccines makes the diseases they prevent less visible, reducing the perceived threat and making pro-vaccination arguments less intuitive.
The article states that counter-intuitive beliefs can spread through trust and argumentation, but both face significant hurdles in the context of vaccination. One-way messaging is often ineffective because it cannot address the specific counter-arguments of individuals. Furthermore, public trust in the institutions promoting vaccines (such as pharmaceutical companies and governments) is often low. The authors conclude that while forceful measures might be necessary in the short term, the long-term solution requires rebuilding trust in scientific and medical institutions.
How Gullible Are We?
This academic review article argues against the widespread historical and scholarly belief that humans are strongly gullible. The author, Hugo Mercier, challenges the idea that people are easily fooled into accepting harmful, costly, or empirically unfounded beliefs, particularly from authority figures or demagogues.
Instead, Mercier proposes that humans are equipped with well-functioning cognitive mechanisms of “epistemic vigilance” that allow them to critically evaluate communicated information. These mechanisms include:
• Plausibility Checking: Assessing new information against pre-existing beliefs and rejecting inconsistencies.
• Trust Calibration: Evaluating a source’s trustworthiness based on cues of competence and benevolence.
• Argument Evaluation: Assessing the strength and validity of reasons provided to support a claim.
The article reviews evidence from experimental psychology demonstrating that these mechanisms are generally effective. It then examines various domains often cited as proof of gullibility—such as religion, propaganda, advertising, and politics—and argues that communication in these areas is much less influential than commonly believed. Mercier concludes that when people do accept misguided information, it is often not due to undue deference to a source (source-based processes) but because the information fits with their pre-existing intuitions and beliefs (content-based processes).
Not Born Yesterday
In this book, Hugo Mercier makes the case that humans are fundamentally not gullible, challenging the long-held view from scholars and thinkers that portrays the masses as easily misled. He argues against the idea that we credulously accept whatever we are told, even when messages come from prestigious figures or the majority.
Mercier’s core argument is that uncritical acceptance of information is evolutionarily unstable and too costly. To facilitate effective communication while protecting against deception, humans evolved a suite of cognitive mechanisms he calls “open vigilance mechanisms”. These tools allow us to be open to beneficial information while remaining vigilant against harmful messages. They work by evaluating the message’s content (is it plausible? backed by good arguments?) and its source (is the speaker competent and honest?).
The book aims to show that most attempts at mass persuasion, from political campaigns to advertising, are largely unsuccessful. Mercier explains that the spread of popular but mistaken beliefs—from flat-earth theories to political misinformation—is not typically a result of masterful persuasion or blind trust. Instead, such beliefs often succeed because they are intuitive and align with our spontaneous thoughts (e.g., the earth looks flat) or because people profess them for social reasons, rather than truly accepting them as reality. The modern information environment can challenge our vigilance mechanisms, but Mercier maintains that, if anything, we are too resistant to influence, not too open to it.
The Breakdown
Important
- Two important premises for the evolutionary case for gullibility – The first premise is that human success as a species is not due to our individual intelligence but to our ability to accumulate culture by learning from each other. The second is that social learning was difficult for our ancestors because they had to figure out who and what to copy from a wide variety of behaviours, creating a problem of who and what to learn from.
Core concepts
- Evolutionary Constraints on Cognitive Architecture: This is the central idea that evolution has created a framework that shapes and limits how the human mind works. Cognitive models must be built within these constraints, which are based on principles like the brain being a physical system designed by natural selection to solve ancestral problems, and our “modern skulls housing a stone age mind”.
- The Modularity of the Mind: This refers to the debate over the mind’s structure, specifically whether it is a single, domain-general processor or is composed of multiple specialised, domain-specific modules. The lecture adopts a middle-ground position, common in cognitive science, which assumes the mind has both domain-general processes and some specialised, evolved modules.
- The Gullibility Debate: This is a key debate in cognitive science over whether humans are fundamentally gullible. One side argues that our evolved mechanisms for social learning, while once adaptive, make us gullible in the modern information environment. The opposing view is that evolution also equipped us with epistemic vigilance mechanisms that protect us from being easily misled.
- Social Learning and its Heuristics: Social learning is the ability to learn from others, which is considered critical to human success. To solve the problem of who and what to copy, evolution is proposed to have equipped humans with heuristics (mental shortcuts) like the success heuristic (copy successful people), prestige heuristic (copy those others admire), and conformity heuristic (copy the majority).
- Strong Gullibility vs. Epistemic Vigilance: The Strong Gullibility Hypothesis claims that gullibility is widespread, involves costly beliefs, and is mostly source-based (i.e., we blindly follow authority figures). The opposing Epistemic Vigilance Framework argues that humans are equipped with cognitive mechanisms—such as plausibility checking, trust calibration, and reasoning—to evaluate information and resist deception.
- The Spread of False Information: Both sides of the gullibility debate acknowledge that false information spreads. Explanations include cognitive biases like the Backfire Effect (where contrary evidence strengthens beliefs) and the idea that some false information (like conspiracy theories about threats) spreads because the evolutionary cost of ignoring a potential threat is higher than the cost of mistakenly believing it.
Theories and Frameworks
- Principles of Evolutionary Cognitive Science: A set of five foundational principles outlined by Leda Cosmides and John Tooby that serve as evolutionary constraints for building models of the mind.
- Cheater Detection Module: An evolved, specialised cognitive module proposed by Cosmides and Tooby to explain why humans are much better at solving logic problems when they are framed as detecting violations of a social contract versus abstract rules.
- Epistemic Vigilance (or Open Vigilance Mechanisms): A framework developed by Dan Sperber and Hugo Mercier proposing that humans have a suite of evolved cognitive tools that allow them to be open to beneficial information while remaining vigilant against misinformation.
Notable Individuals
- Leda Cosmides & John Tooby: Prominent evolutionary cognitive scientists who outlined the core principles of the field and proposed the Cheater Detection Module.
- Jerry Fodor: Published the influential book “The Modularity of the Mind” in the 1980s, which spurred major debate about the mind’s architecture.
- Stanley Milgram: Conducted psychology experiments on conformity and obedience that have often been interpreted as evidence of human gullibility.
- Joseph Henrich: A cognitive anthropologist whose work on cultural learning, such as the multi-step processing of poisonous cassava, provides evidence for conformity as an adaptive heuristic.
- Dan Sperber & Hugo Mercier: Cognitive scientists who developed the theory of epistemic vigilance, arguing against the strong gullibility hypothesis.
- Richard Dawkins: A biologist who suggested that children have a “programmed-in gullibility” that is useful for learning language and culture.

