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Tenure-track Assistant Professor in Cognitive Science – Toulouse School of Economics / IAST (deadline December 15, 2026)

November 8, 2026/in Newsletter

The Department of Social and Behavioral Sciences (SBS) at the Toulouse School of Economics (TSE), in close collaboration with the Institute for Advanced Study in Toulouse (IAST), invites applications for a tenure-track Assistant Professor position in Cognitive Science.

SBS is an interdisciplinary department bringing together psychology, economics, evolutionary anthropology and biology, political science, and sociology. Our research addresses the psychological foundations of social life: how people learn and transmit cultural knowledge, how they cooperate and make moral decisions, and how they judge, trust, and delegate to artificial intelligence.

We are searching broadly and welcome candidates whose research focuses on learning, decision-making, social cognition, or collective behavior. Applicants should hold (or expect to complete by August 2027) a PhD in psychology (any subfield, including social, cognitive, cross-cultural, developmental, and evolutionary), cognitive science, or a related field. We particularly value expertise in quantitative methods and an interest in interdisciplinary collaboration.

Practical details:

• Start date: September 1, 2027
• Teaching in English; French fluency is not required
• Reduced teaching load, research budget, and relocation and integration support
• Application materials (in English): CV, cover letter, research statement, and three letters of reference
• Deadline: December 15, 2026

Full details and application: https://www.tse-fr.eu/tenure-track-positions

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Two E&HB Papers claim 2026 Ig® Nobel Prizes!

October 26, 2026/in Newsletter

IG NOBEL BIOMECHANICS PRIZE 2026 [UK, USA]
Matilda Brindle, Catherine Talbot, and Stuart West for devising a more precise definition of kissing — “non-agonistic interactions involving directed, intraspecific, oral-oral contact with some movement of the lips/mouthparts and no food transfer” — in ants, birds, polar bears, and humans.

Matilda Brindle, Catherine F. Talbot, and Stuart West. A Comparative Approach to Kissing. Evolution and Human Behavior 47.6 (2026): 106788.

 

IG NOBEL PEACE PRIZE 2026 [USA, ARGENTINA, AUSTRALIA]
Jaimie Arona Krems, Rebecka Hahnel-Peeters, Laureon Merrie, Keelah Williams, and Daniel Sznycer, for documenting that we value friends who are vicious to people we dislike.

Jaimie Arona Krems, Rebecka K. Hahnel-Peeters, Laureon A. Merrie, Keelah E.G. Williams, and Daniel Sznycer. Sometimes We Want Vicious Friends: People Have Nuanced Preferences for How They Want Their Friends to Behave Toward Them Versus Others. Evolution and Human Behavior 44.2 (2023): 88–98.

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Announcing HBES 2027

October 22, 2026/in Announcements, Newsletter

Dear HBES Community,

Now that HBES 2026 in Rabat, Morocco, is over, it’s time to start thinking towards 2027. Hosting HBES shows dedication to the society, so thanks to Zach Garfield and the hosts of HBES 2026 for a successful conference. What’s in store for HBES 2027?

We are very pleased to announce that HBES 2027 will be held in Tempe, Arizona, at Arizona State University from April 7–10, 2027. For more information, please visit the Conference website.

 

Looking forward to seeing you in Rabat!

Sincerely,
The HBES Team

PS: We start working with hosts a few years in advance, so if anyone is interested in hosting HBES in 2028 or beyond, please contact the HBES President.

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MindCORE Research Fellowship for Postdoctoral Scholars

October 13, 2026/in Newsletter

MindCORE seeks to recruit outstanding postdoctoral researchers for our Research Fellowship for Postdoctoral Scholars. Housed within the School of Arts and Sciences of the University of Pennsylvania, MindCORE is an interdisciplinary effort to understand human intelligence and behavior.

The MindCORE Fellowship is a springboard for early researchers who have recently obtained a PhD degree and aim to establish their own, independent research program that is consistent with MindCORE’s mission to understand the mind. Relevant disciplines include (but are not limited to) neuroscience, psychology, linguistics, philosophy, computer science, and cognitive science. Connections to other fields including math and physics are also encouraged. Fellows are expected to pursue collaborative relationships with faculty working across disciplines at Penn. These collaborations may take different forms from engaging in research projects with multiple faculty independently, to generating new collaborative research that brings multiple faculty together, to contributing to interdisciplinary discussion and reading groups. Find a list of current and former MindCORE Fellows here. MindCORE seeks to award 2 postdoctoral Fellowships per year. Positions may start as early as July 1, 2027.

Benefits

Fellows receive a competitive salary, relocation allowance, health insurance, plus a modest research budget of $20,000. Fellows also benefit from access to the greater community of academics including visiting scholars plus leading research facilities equipped with cutting-edge instrumentation all on an urban campus in a vibrant city. Because of the benefits of joining our Penn community, this is a Philadelphia-based (not remote) position. Fellows are invited to join regular working group meetings within their field plus career development workshops aimed at young researchers, and will be provided with a mentoring committee. Funding is provided in one-year terms renewable for up to three years.

Eligibility & Application

  • Applicants must have formally completed all requirements of the PhD degree and provide a copy of their diploma at the time of appointment (typically July 1, 2027-Jan 15, 2028). Penn has a five-year term limit for postdocs, so candidates ideally have 0-2 years of previous postdoc time.
  • Candidates must submit 1-2 page research statement that identifies at least three MindCORE faculty at Penn with whom the applicant would be interested in collaborating, along with a CV, and contact information for two referees (name and email addresses), and a cover letter addressing the applicant’s strengths with respect to the selection criteria below. Applicants should be mindful of the interdisciplinary backgrounds of the reviewers and make the proposals clear to readers.
  • Application documents should be saved with candidate’s Lastname_Firstname.pdf in one PDF file in this order: cover letter, research statement, CV, referees. (Note: We do not require recommendation letters at the time of application and only those candidates who are invited to interview will be asked to obtain letters.) Complete applications should be submitted through the form on our website. Questions not answered on our FAQ, can be emailed to pennmindcore@sas.upenn.edu
  • Applications due December 1, 2026.

Selection

All eligible and complete applications will be evaluated by the Selection Committee and are judged on the following criteria:

  • Scientific excellence
  • Potential to contribute to or lead within a diverse academic community
  • Scientific match and interdisciplinarity
  • Career potential
https://www.hbes.com/wp-content/uploads/2026/10/UniversityofPennsylvania_FullLogo_Reverse_RGB_0-313854041.jpg 700 1050 karthikpanchanathan https://www.hbes.com/wp-content/uploads/2019/07/HBES-banner-2019.png karthikpanchanathan2026-10-13 19:10:222026-10-14 11:23:00MindCORE Research Fellowship for Postdoctoral Scholars

Sorcery: An Origins Story

October 2, 2026/in Newsletter

“The Sorcerer”, sketch based on Henri Breuil’s original drawing of art in the Trois-Frères cave, France.

– by Ronald J. Planer and Kim Sterelny

People in many traditional societies around the world respond to sickness, death, and a range of other serious misfortunes in a strange and strangely uniform way: they regard these events as ultimately caused by the occult agency of other humans. Moreover, this view is not just backward-looking; people actively fear occult attacks, and take countermeasures to avoid them. We call this psychological tendency “the agential view of misfortune”. Its wide occurrence is puzzling not just because the view is false, but also because the view is costly: socially, economically, and—one can only assume—psychologically. Michelle Stephenson (2022) provides a striking description of the view among the Mekeo of Papua New Guinea: “People seem almost obsessed by fears of harmful magic being used against them and no death or serious mishap occurs which is not attributed to the sorcerer’s powers. Villagers themselves say that they are preoccupied with such fears and that consequently they tend to be highly suspicious of each other’s motives, even of close relatives” (p. 129).

We take up this puzzle in our article, Rise of the dark shaman: A path from healers to sorcerers (2026). Our starting point is the inadequacy of existing explanations. The biggest problem, as we see it, is that none offers a plausible account of how the agential view of misfortune might establish in the first place. Once the view is established, its persistence is not mysterious. Acceptance by the parental generation strongly disposes acceptance by the next generation. The seriousness with which the parental generation takes the threat, and the costs they accept to reduce it testify to their real conviction. This is especially true to the extent that the local version of the view is enmeshed into the broader worldview of the culture—which it typically is. A person who questions the status quo may make themselves a target (indeed, they may be suspected of sorcery); at best, they will seem somewhat socially deviant. Moreover, accusations of sorcery and witchcraft are available as ready-made “social moves” for people to play against each other. Where and when people can deploy such accusations to improve or protect their social standing or that of their allies, we should expect they will do so.

We argue that the agential view of misfortune has its roots in shamanism (itself widespread). The prototypical shaman is someone who (i) is understood by others as possessing unique talents and skills for interacting with a supernatural world distinct from this one. (ii) They can obtain information no one else can, including knowledge of future events. (iii) Moreover, shaman are able to directly act in the spirit world on behalf of others; for example, they may locate and return the spirit of a sick person. But because they can act on behalf of others, they can act on their own behalf as well. They are players of in a dangerous game. (iv) To enter this world, shaman often subject themselves to excruciating physical rituals—often in the public eye—which may be supplemented by mind-altering drugs where available. They are the original “psychonauts”.

Shamanism primes the agential view of misfortune in two main ways. First, shamans constitute “living proof” of the possibility of sorcerers—of “dark shamans”. If they can wield their powers for good, it stands to reason they—or at least a counterpart—can wield them for evil. Many ethnographic accounts attest to group members’ impression that shaman are “morally ambiguous” in this sense. The second way is that shamans themselves stoke fear over sorcerous threats. As acknowledged occult specialists, shamans have an outsized role in shaping the occult lore and practices the next generation encounters, and by continuing to make the threat of sorcery salient to others, they ensure their ongoing place of social prominence in group life. Ethnography again shows that shamans (and similar occult specialists) enjoy prestige translating into benefits on the ground (e.g., being excused from normal social duties, having increased power in group decision-making). It is also common for shamans to receive direct compensation for services rendered (e.g., divination ceremonies). In some communities, these occult specialists also play forensic roles, revealing the source of occult attacks, and this too gives them social leverage.

We do not claim that shamans consciously “big up” themselves. Rather, we see the operation of a well-known and studied cognitive bias at work here—namely, the “myside bias”. Shamans have an implicit, unconscious tendency to bias the flow of information about the occult in ways that support and extend their importance. Our hypothesis is that this myside bias, operating cumulatively over cultural-historical time, leads to an elaboration of lore emphasizing the threat of harmful magic, and the shaman as defender and protector.

Our other main task in our article is to offer an account of how shamanism itself can establish. The core ideas we develop are these: (i) following an ingenious insight of 19th-century anthropologist Edward Burnett Tylor, we suggest that dreams and hallucinatory visions psychologically dispose people towards belief in immaterial spirits and a spirit realm. (ii) Once language evolved, these phenomenological raw materials were channeled into culturally shared views about spirits and the spirt world—in other words, a version of an animistic worldview was established. (iii) Proto-shamans were recognizable within this animistic milieu as individuals as who were especially willing to work with conscious-altering techniques that had already come to be associated with the spirit world, who were less risk-averse, and who were perhaps more prone to respond to these techniques.

The final step here is to explain how individuals claiming supernatural skills and talents for themselves gain credibility in the eyes of the broader group. We canvass a range of options in our article, but at an abstract level, we think cognitive biases are again crucial—especially our susceptibility to causal illusions. We are apt to turn noticed associations, and even the appearance of associations, into causal beliefs. When a highly salient event precedes a second, unusual or unexpected event, (an intense trance-inducing ceremony followed by the death of an enemy) humans are apt to conclude that the first caused the second. On our account, these biases play a dual role: they both work to convince proto-shamans of their powers while also convincing others of the efficacy of the displays and treatments these individuals put on.

These two parts of our argument—the development of the agential view of misfortune out of shamanism and the origins of shamanism itself—could be separated. In particular, one could couple the first to an alternative account of the latter. What we most want to insist on is that shamanism, however evolved, has a special role to play in midwifing the agential view of misfortune. Unlike belief in the omnipresent danger of others’ harmful magic, which is undeniably costly, belief in shamanism is plausibly beneficial to the broader group (if only for its placebo effect), or at the very least benign. Shamans did not displace more effective medical practitioners. This makes the task of explaining the origins of shamanism much easier.

Boiled down, what we propose is a (cultural) evolutionary model of belief in sorcery, witchcraft and allied phenomena in three main stages: first comes animism, then comes shamanism, then comes the agential view of misfortune.

For now, all we can claim to be in possession of is a “how plausibly” model. We take this to be progress, given the puzzling nature of the agential view of misfortune, together with the failure of previous explanations to deal with the unique challenge of the view’s origins. To convert our model into a “how actually” model will require testing, and we conclude our article with a number of predictions for future research. Stay tuned.

Ronald J. Planer and Kim Sterelny. Rise of the dark shaman: a path from healers to sorcery. Evolution and Human Behavior 47.5 (2026): 106912.

References

Stephen, M. (2022). Sorcery, magic and the Mekeo world view. In N.C. Habel (Ed.), Power, plumes and piglets, Australian Association for the Study of Religions Book Series, pp. 149-160.

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Seeing Interest That Isn’t There: Four Routes to Sexual Overperception

October 2, 2026/in Newsletter

The same social cues can be interpreted as friendliness or sexual interest (Photo by James X on Unsplash)

– by Iliana Samara

Someone holds your gaze, laughs at your jokes, and suggests continuing the conversation over a drink. You might interpret their behavior as sexual interest, but they are only enjoying your company. Research on sexual overperception has often shown this pattern: men tend to infer more sexual interest from ambiguous behavior than women do (Abbey, 1982; Haselton & Buss, 2000). However, the psychological process underlying this pattern remains less well understood.

In a recent article in Evolution and Human Behavior (Samara, 2026), I address this issue and argue that the measures we commonly use to measure this pattern do not allow us to identify the underlying process. Work on sexual overperception measures how interested we think a person is in us (e.g., with rating scales) or how often one mistakes an interaction for flirtatious or romantic. However, patterns of higher interest ratings or higher frequency of mistaken interactions can arise through different psychological processes. Therefore, using the term “overperception” does not capture which process produced it.

Error management theory (EMT; Haselton & Buss, 2000) provides one influential evolutionary account for this pattern. EMT posits that when the consequences of two errors differ, selection may favour a decision policy that reduces the more costly mistake, even if this increases the other type of error. Applied to sexual interest, the notion is that ancestral men may have faced greater reproductive costs from missing a mating opportunity than from making an unsuccessful advance. Under these conditions, a tendency to infer interest from relatively weak evidence could have been advantageous for men.

We can identify four different routes that lead to this error. The first is cue discrimination: how well someone distinguishes friendliness accompanied by sexual interest from friendliness alone. If the cues are difficult to tell apart, errors can arise in both directions (inferring interest when it was not present or missing interest when it was present). The second concerns expectations: someone who starts with the expectation that sexual interest is likely may require less evidence before judging it as such. Such prior beliefs are dependent on the individual and might for example reflect previous experiences or beliefs about how likely sexual interest is in a given context. The third route concerns the perceived consequences of being wrong. Two people could have similar expectations and read the cues equally well but require different levels of evidence before indicating that another person is interested in them. For example, someone especially concerned about missing genuine interest may use a lower threshold than someone especially concerned about mistakenly inferring interest. Finally, the fourth route concerns the answer someone reports may differ from their private judgment, their reporting policy. A difference in reported judgments could therefore partly reflect differences in what people feel comfortable disclosing.

These processes can also occur together. Signal detection theory helps by separately estimating discrimination and the decision threshold (see Brandner et al., 2021, for an application to sexual overperception). However, even after estimating that threshold, we still need to explain how it arises, as a lower threshold could reflect stronger expectations of interest, greater concern about overlooking interest, or differences in reporting. Bayesian decision theory makes the contribution of expectations and error costs clear (Green & Swets, 1966).

To examine how well existing designs distinguish between these possibilities, I conducted a targeted audit of 54 empirical papers. Only five reported signal detection measures. None directly elicited expectations as estimates of how often interest was present, and none experimentally manipulated the payoffs attached to different errors. Many of these studies addressed other questions, including when overperception occurs and which factors predict it. Overall, the audit showed that their designs generally leave the underlying processes difficult to separate.

Future work could address this point by for instance, varying how often interest is present in a task, asking participants what prevalence they expect, and testing whether their beliefs change. Studies could also vary who will see an answer while keeping the available cues the same. Each manipulation would help test a different explanation, given it changes the beliefs or incentives it is intended to change.

The distinction between mechanisms can inform future interventions. If someone struggles to distinguish relevant cues, practice with feedback might help. If their expectations are poorly calibrated, feedback about how often interest is reciprocated may be more relevant. If perceived consequences or disclosure conditions drive the pattern, those would need separate attention. These are different intervention hypotheses, and the observed error pattern alone cannot show us which to pursue. For evolutionary research, identifying these processes would clarify how a proposed function is implemented and why behavior changes across situations.

Samara, I. Sexual overperception as a proximate identification problem. Evolution and Human Behavior 47.5 (2026): 106947.

References

Abbey, A. (1982). Sex differences in attributions for friendly behavior: Do males misperceive females’ friendliness? Journal of Personality and Social Psychology, 42(5), 830–838. https://doi.org/10.1037/0022-3514.42.5.830

Brandner, J. L., Pohlman, J., & Brase, G. L. (2021). On hits and being hit on: Error management theory, signal detection theory, and the male sexual overperception bias. Evolution and Human Behavior, 42(4), 331–342. https://doi.org/10.1016/j.evolhumbehav.2021.01.002

Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics (1st ed.). Wiley.

Haselton, M. G., & Buss, D. M. (2000). Error management theory: A new perspective on biases in cross-sex mind reading. Journal of Personality and Social Psychology, 78(1), 81–91. https://doi.org/10.1037/0022-3514.78.1.81

https://www.hbes.com/wp-content/uploads/2026/10/james-x-1aewYUVOw6E-unsplash-scaled.jpg 1707 2560 karthikpanchanathan https://www.hbes.com/wp-content/uploads/2019/07/HBES-banner-2019.png karthikpanchanathan2026-10-02 19:43:282026-10-02 19:43:28Seeing Interest That Isn’t There: Four Routes to Sexual Overperception

Possession is nine-tenths of the law – but maybe not for infants

October 2, 2026/in Newsletter

– by Erik K. Fonn

One important aspect of our social world is that we have intuitions that specific people have stronger claims to specific objects. We often refer to this as ownership. Getting this right is likely adaptively important: Taking the wrong things might be dangerous, and people might start to dislike you for it. But getting ownership right is in principle also difficult because these intuitions often bear on things that happened in the past: that is, how and by whom something was acquired. For instance, whether a person took an object by force or bought it likely matters for our intuitions about whether the object belongs to that person. But past events like these are often unavailable to us. So how are we able to form intuitions about who owns what?

Many studies suggest that humans, at least from early childhood onwards, rely on some mental shortcuts in order to make these ownership ascriptions. One such shortcut is prior possession. Simply put, this is the rule that whoever apparently had a resource first gets to keep it. And there are good evolutionary reasons that this is so. For instance, a person buying a house might start furnishing it according to their specific needs and preferences, making the house more valuable to themselves but not necessarily more valuable to everyone else. In this case, the house owner would tend to be more willing to defend their house than others are willing to fight to take it, and this general pattern has been documented across a range of animal species. Moreover, because losing possessions to others is costly, people might avoid those who do not respect prior possession and choose others as social and cooperative partners. Among humans, being a part of a social group and reaping the benefits of cooperation is indeed important to survive and thrive.

However, very little is known about how this prior possession rule actually emerges in human development: Is it something we learn from experience, or does it perhaps depend on cultural norms? Another possibility, which we sought to test, is that the prior possession rule is present in infants before they have had extensive experience with conflicts and before they have learned much about the world through socialization. In other words, the prior possession rule might serve as a backbone of human social understanding helping us to make sense of and navigate the social world from earliest childhood. Indeed, previous research suggests that infants have a very sophisticated understanding of the social world: Long before they can talk, infants distinguish agents from objects, predict who will win conflicts, and figure out who belongs to which group. Do infants, then, use prior possession to make sense of their social surroundings?

We approached this question in two ways: First, we asked whether infants avoid those who take, or attempt to take, things from others. Second, we asked whether infants expect those who hold prior possession to retain this possession when challenged. In order to address the first question, we showed 10–13-month-olds live puppet shows of one puppet possessing a toy box and another who did not. Subsequently, the one who did not have a toy box challenged the other. We varied across participants whether the one who held first possession lost the object, retained it, or whether the conflict was left unresolved. Finally, we tested whether infants preferred either of the two agents: They were presented with the two puppets on a tray and were allowed to choose between them. Across all the experimental conditions, infants were just as likely to choose the prior possessor as the contender. In other words, infants did not appear to avoid those who violate first possession.

Although infants did not systematically evaluate these social scenarios, they may in principle still have expectations that first possessors will win. Across two experiments we showed infants aged 10–18 months videos of a prior possessor (standing in the middle of an enclosure) being challenged by a contender. Infants saw both outcomes: either the prior possessor won the enclosure, or the contender did. If infants expect prior possessors to win, they should be surprised and look longer at the videos where the contender wins the territory. However, across both experiments, we found no evidence that they did. Yet, infants were able to understand the conflict: When we changed the size of the agents, so that one agent was much bigger than the other, infants expected the larger individual to win. In other words, infants were able to understand what was going on in the videos, but they did not care about who held prior possession.

These results did not align with our hypothesis that infants would use prior possession to make sense of their social world. Specifically, while prior research suggests that infants are able to track possession history in certain ways, for example distinguishing giving from taking, our results suggest that infants do not yet have the intuition that prior possessors have a stronger claim.

Of course, absence of evidence is not evidence of absence: We do not know if infants lack these capacities altogether, or whether we used the wrong methods to detect them. On the other hand, we found no effects of prior possession across two different measures, and infants did use physical size to predict who would win. This suggests that our methods were suitable to test infants’ conflict expectations, but that these expectations were not guided by prior possession alone. This asymmetry is puzzling: Predicting conflict outcomes from both size and prior possession would plausibly serve the same adaptive function: predicting who will win a conflict and so avoiding costly fights not worth having. Yet only physical size seems to guide infants’ conflict predictions. Whether and how infants come to use possession history to anticipate conflict outcomes still remains a question for future research.

Erik K. Fonn, Joakim H. Zahl, Bjørn D. Kristensen, Oliver Scott Curry, and Lotte Thomsen. Infants use physical size, but not prior possession, to predict conflict outcomes, and do not prefer prior possessors over contenders. Evolution and Human Behavior 47.5 (2026): 106952.

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Why (And When) Are Young Children So Bad at Avoiding Germs?

October 2, 2026/in Newsletter

– by Serkan Özçakan, Florian van Leeuwen, and Joshua M. Tybur

Young children often behave as if they are indifferent to infection. They eat food from the floor, put dirty fingers in their mouths, and readily touch dirty surfaces. Importantly, young children do not just fail to take steps to avoid pathogens; they behave in ways that seem to approach pathogen risks. Paradoxically, all of this happens at a time when children are particularly vulnerable to pathogens, with their immune systems not yet mature. But why?

To answer this question, we first need to know when children begin avoiding pathogen threats and stop embracing them. The field currently lacks such a picture, for several reasons. Different relevant phenomena, including disgust, hygiene behaviors, and an understanding of contamination, have largely been studied separately. Measurement has sometimes been limited to questions asking parents to estimate the degree of disgust their child would experience during hypothetical events that the child may have never encountered. Child age is often binned into multi-year categories. Our study aimed to build a more comprehensive developmental map of pathogen avoidance by examining its multiple components simultaneously and at a high resolution of age.

To do so, we asked 3,050 parents in the UK and US whether they had observed each of 39 concrete behaviors in their child over the past month. Items concerned behaviors that increase pathogen exposure, such as eating food from the floor or touching dirty surfaces, as well as behaviors that reduce it, such as washing their hands or experiencing disgust. By recruiting parents of children from infancy to 10 years of age, we were able to estimate the prevalence of these behaviors across childhood in fine detail.

Our results showed that there was no single developmental timetable for pathogen avoidance. Instead, different behaviors emerged at different points in childhood. Disgust is a good example. Taste-related disgust and facial expressions of disgust toward food were already common by around six months. Vocalizations of “yuck” appeared around 20 months, followed soon after by more general disgust faces and reactions to sights, smells, and touch. The use of the word “disgust,” however, did not become common until around four years of age. In other words, disgust did not emerge all at once; its different components followed different developmental timelines.

We then asked whether behaviors with similar developmental patterns tended to group together. We observed four clusters of items with distinct developmental trajectories, which revealed two broader transitions around the second and fourth years of life. Around age two, a cluster of early exposure-increasing behaviors, including mouthing objects, became uncommon, while a cluster including assisted hygiene and early disgust responses became common. By age four, a second cluster of risk-prone behaviors, such as eating food from the floor, had also become uncommon, while more autonomous forms of pathogen avoidance, such as independent handwashing and toothbrushing, along with various expressions of disgust (e.g., saying “disgust” and reacting with disgust to things they saw or smelled), became common.

So, returning to the question we started with: why is pathogen avoidance so limited early in life despite high infection risk? Knowing when these behaviors develop gives us a starting point for thinking about why they follow this pattern. Many of the behaviors that are especially common early in life, such as mouthing inedible objects, licking dirty surfaces, and putting dirty hands in the mouth, allow children to explore their environment. This exploration may be important in at least two ways. It provides opportunities for learning about the world, but it also brings children into contact with microbes that may help shape the developing immune system.

The timing is particularly interesting here. The first 1,000 days of life are considered a key window for microbial colonization and immune development, when both the microbiota and the immune system are especially malleable (Zhu et al., 2025). Notably, this period broadly overlaps with the period in our data when behaviors that increase pathogen exposure were most common.

This overlap suggests that limited pathogen avoidance may reflect an adaptive trade-off between protection and exploration. High investments in pathogen avoidance from the beginning of life could limit opportunities for exploration at precisely the time when exploration may be especially important for learning and immune development. As children grow, this balance may shift toward protection. Behaviors that increase pathogen exposure become less common, while more organized forms of pathogen avoidance emerge. From this perspective, limited pathogen avoidance early in life may not simply reflect what young children cannot yet do. It may also reflect what they need to do: explore the world around them.

Özçakan, S., van Leeuwen, F., & Tybur, J. M. A developmental map of pathogen-avoidance behaviors. Evolution and Human Behavior 47.5 (2026): 106946.

References

Zhu, J., He, M., Li, S., Lei, Y., Xiang, X., Guo, Z., & Wang, Q. (2025). Shaping oral and intestinal microbiota and the immune system during the first 1,000 days of life. Frontiers in Pediatrics, 13, Article 1471743. https://doi.org/10.3389/fped.2025.1471743

https://www.hbes.com/wp-content/uploads/2026/10/HBES_Blog_Image_Ozcakan_et_al-scaled.jpg 1707 2560 karthikpanchanathan https://www.hbes.com/wp-content/uploads/2019/07/HBES-banner-2019.png karthikpanchanathan2026-10-02 19:35:302026-10-02 19:35:30Why (And When) Are Young Children So Bad at Avoiding Germs?

How social connections shape our willingness to take risks

October 2, 2026/in Newsletter

– by Joon Hwang

Imagine you have two options: get $50 for sure or take a 50-50 chance of getting $100 or nothing. Both options have the same expected payoff ($50), but one might appeal to you more than the other. If you prefer to take that chance, you might be a risk-taker; if you prefer the guaranteed $50, you might be risk averse. You will notice that researchers use “risk” here to describe how much the possible payoffs vary, rather than harm or loss itself.

Now let’s add one more detail: you can count on family, friends, or neighbors to help you if you choose the risky option and get nothing. Would that make you more willing to take the risk? This is the question we examined in our recent paper in Evolution and Human Behavior. People have had to make decisions under risk throughout human history. Our ancestors could spend a day pursuing a large animal and return with plenty of meat or nothing at all. Today, someone might leave a steady job to start a business, hoping to earn more but knowing they could earn less or lose money.

Such unpredictability in everyday life is also closely linked to the evolution of human cooperation, particularly resource sharing. By sharing resources with others – giving when they have more and receiving when they have less – people can make their access to resources more reliable. The idea that sharing reduces variability of an outcome in this way has been widely studied under the “risk-reduction reciprocity” model of human cooperation. But in this study, we examined the decision itself. Having support to fall back on might do more than help you recover from a bad outcome. It might make you more willing to take a risk in the first place!

We worked with 140 adults from 82 households in Matlab, Bangladesh. In this rural area, farming and fishing, once the main sources of livelihood, have declined, while people’s dependence on markets and cash income has grown. The growing need for cash has made informal lending networks more important, while people continue to share food and household items with relatives and neighbors. We asked participants whom their households could borrow money (2,000 Bangladesh taka (BDT); about 21 USD), food, or household items from and whom they would lend to. From their answers, we mapped two social networks, with connections between households representing moneylending in one and the sharing of food and household items in the other. We also measured their willingness to take risks by asking them to choose between a guaranteed 50 BDT (about 0.52 USD) and a chance of getting 100 BDT (about 1.05 USD) or nothing, with the odds varying across rounds (see the figure below).

We found that different forms of social support were linked to greater or lower willingness to take risks, depending on the type of support and how people were connected. Participants were more willing to take risks when their households were part of tightly connected moneylending networks. This pattern is called “clustering”: the people you are connected to are also connected to one another. In moneylending networks, this could keep money circulating within a cluster. For example, money you lend to one household may later reach another household that can help you when you need it. Having financial support ties within this tightly connected cluster could help you cover a large expense or recover from a business loss. As a result, people may be more willing to take risks when they have reliable financial support to fall back on.

In contrast, participants who could turn to more households for food and household items were less willing to take risks. We had expected this support to encourage risk-taking too, but food and household items are worth less than cash loans and may not provide enough of a buffer against large losses. Instead, this support may act as informal insurance, helping people meet their everyday needs so they do not have to take risks out of desperation.

Although our results do not establish causal relationships, they help us consider how the social connections around us and the resources available through them might provide cues for responding flexibly to uncertainty. These cues may make a risky choice easier to afford (e.g., financial clustering) or reduce the need to take that risk at all (e.g., sharing food or household items). Seen this way, human systems for risk management may have evolved within networks of cooperation, where the structure of relationships shaped not only how resources were distributed to reduce variability in outcomes, but also how people made decisions under risk in the first place.

Should we worry, then, that helping people recover from losses might encourage them to take risks recklessly, a problem known as “moral hazard”? We suggest looking at it another way: innovation also involves risk, whether someone is trying a new farming method or starting a business. People may be more willing to try a new idea if others in their social networks can help cover the costs of failure, while the prospect of sharing in the gains through social networks may give those people a reason to offer that help. Thus, innovations we often credit to individual ingenuity may owe their success to the social environment that lets people take risks and recover from failed attempts. If so, we may also want to reconsider how the gains from successful innovations are shared, both to recognize that collective contribution and to sustain the cooperation that supports future innovation.

Joon Hwang, Nurul Alam, and Mary K. Shenk. Social capital is associated with both risk-taking and risk-avoidance in rural Bangladesh. Evolution and Human Behavior 47.5 (2026): 106923.

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Averageness Isn’t Enough: What Actually Makes a Body Look Attractive?

October 2, 2026/in Newsletter

Photo by SHVETS Production / Pexels (faces blurred for anonymity).

– by Zihan Zhu, Lan Chen, and Ying Hu

Think about the last time you saw someone and thought, “They have a great figure.” What were you reacting to: something ordinary, or something that stood out? For decades, research on faces has pointed to a clear answer: averageness is attractive. Composite faces, blended from many individual faces, are consistently rated as more appealing than the originals, possibly because looking average signals health or biological quality. Body shape also varies along many dimensions, curvier or straighter, more or less muscular, and so on, yet it has received far less attention than faces. Does the same rule extend to bodies? Is a body more attractive simply because it sits closer to the average, or is something else going on?

To find out, we conducted two studies. In the first, 72 participants, 36 in the United States and 36 in China, rated 140 computer-generated 3D bodies (70 female, 70 male) that varied naturally along ten underlying dimensions of body shape. For each body, participants gave two separate ratings: how typical it looked (how representative it was of bodies in general) and how attractive it looked.

The two ratings were positively related. Bodies rated as more typical were also, on average, rated as more attractive, a pattern observed among both American and Chinese participants and for both female and male bodies. So, are typicality and attractiveness just two names for the same judgment? Not quite. When we examined what specifically predicted each rating, a different picture emerged.

We tested two competing explanations. One is that a body looks typical or attractive to the extent that it sits close to the population average — call it the “distance from average” rule. The other is that judgments depend not just on distance, but on which specific direction a body deviates in — call it the “specific direction” rule. Typicality was more closely tied to the first rule overall: bodies closer to the average tended to look more typical. Attractiveness, by contrast, was better captured by the second rule, with simple distance from average generally providing a weaker explanation. What mattered more was direction: bodies rated as highly attractive showed patterned departures from the average, including visible differences in curvature or muscularity, rather than simply being the most average bodies. This broad pattern was observed among both American and Chinese raters, even though the two cultures do not always agree on what an ideal body looks like.

To test this more directly, we ran a second, preregistered study using caricature and morphing. Using the ratings from Study 1, we built two composite bodies — one by averaging the five bodies rated most typical, and the other by averaging the five bodies rated most attractive. We then exaggerated the difference between them to create two caricatures: a “super-typical” body and a “super-attractive” body. Morphing gradually between these two caricatures produced an 11-step continuum, and a new sample of participants rated bodies at each step, some judging attractiveness, others typicality. We ran this twice, once letting body height vary naturally and once holding height constant, to make sure that height itself was not driving the results. Across a total of 353 participants, both versions, and both cultural samples, the same pattern held: as bodies moved toward the attractive end, attractiveness ratings increased overall, while typicality ratings did not increase in parallel, instead remaining broadly stable or decreasing toward the attractive end. Becoming more attractive did not mean becoming more typical, whether or not height was held constant.

Put together, the two studies suggest that typicality and attractiveness are related but not interchangeable judgments. Both may draw on the same underlying map of possible body shapes, but they read that map differently. Typicality asks a simple question: how close is this body to everyone else’s average? Attractiveness asks a more selective one: does this body show the “right” departures from the average, along dimensions like curvature and muscularity that plausibly carry information about health or reproductive fitness? Most bodies near the average do not show pronounced versions of these features, which is why typical and attractive bodies usually go together. But when a body’s shape leans strongly into these specific directions, the two judgments can pull apart. That is not the same as saying that unusual bodies are attractive; deviation from the average alone is not enough to explain attractiveness. It is the direction that counts, not distinctiveness for its own sake.

So the next time someone strikes you as having “a great figure,” your reaction may not be just about how ordinary or unusual they look overall. It may also be about whether their shape leans into a handful of specific features — a bit more curve here, a bit more muscle there — that read as attractive regardless of how average everything else is. Averageness still matters. It is an important cue to typicality, and typical bodies are, on the whole, seen as reasonably attractive too. It is just not the whole story.

Zhu, Z., Fu, X., Chen, L., Liu, C. H., Parde, C. J., & Hu, Y. Averageness is not enough: Different perceptual codes for body attractiveness versus typicality. Evolution and Human Behavior 47.5 (2026): 106953

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