Through the conversation.
24 sections010:00 – 8:25Introducing Evolutionary Psychology and Defining the Field
Hosts Dave Pietraszewski and David Pinsof introduce the podcast episode, discussing the goals of evolutionary psychology, the distinction between good and bad evolutionary work, and how the field developed from sociobiology and the foundational insights of Tooby and Cosmides focusing on psychological mechanisms rather than behavior.
We should not be looking at the level of behavior per se. We should be looking at behavior regulation systems inside the nervous system.
“We should not be looking at the level of behavior per se. We should be looking at behavior regulation systems inside the nervous system.” 8:17
028:25 – 12:03Underlying Causal Mechanisms Versus Behavioral Descriptions
Dave Pietraszewski and David Pinsof use analogies like plant phototropism and falling leaves to explain why studying surface-level behaviors lacks predictive power. They emphasize that evolutionary psychology seeks underlying causal cognitive systems that allow scientists to make accurate inferences across new contexts.
it is only when you realize the adaptive function of phototropism that you can organize all that data in an elegant and parsimonious way.
“it is only when you realize the adaptive function of phototropism that you can organize all that data in an elegant and parsimonious way.” 9:37
one of the reasons scientifically to have an underlying model that is causal is that it allows you to make inferences to new situations.
“one of the reasons scientifically to have an underlying model that is causal is that it allows you to make inferences to new situations.” 11:26
0312:03 – 15:08Moving Beyond Behavioral Descriptions in Evolutionary Psychology
Dave Pietraszewski and David Pinsof discuss the methodological limitations of focusing strictly on behavioral descriptions and lists of psychological biases. They argue that scientific progress requires examining underlying psychological design and human nature as shaped by natural selection, avoiding descriptive cul-de-sacs.
The fundamental level of theoretical invariance in psychology should be the underlying psychological design rather than observed behavior.
“the level of invariance is not behavior, but the underlying psychological design.” 12:40
Collecting endless lists of biases without an organizing theoretical framework indicates a field is stuck in a descriptive cul-de-sac.
“This is the sign of a field that is stuck in a cul-de-sac” 13:22
Dave Pietraszewski and David Pinsof address the common criticism that evolutionary psychology relies on unfalsifiable just-so stories. They provide empirical counterexamples, discussing how hypotheses regarding kin selection in homosexuality and social categorization processes generate testable predictions about underlying psychological design.
Evolutionary psychology actively generates testable, falsifiable predictions rather than relying on unscientific stories.
“the idea that evolutionary psychology does not make testable predictions um is false.” 16:49
0524:06 – 30:57Investigating Social Categorization and the Who Said What Paradigm
Dave Pietraszewski and David Pinsof discuss cognitive processes underlying social categorization, introducing the Who Said What paradigm used by empirical psychologists. They explain how researchers measure non-conscious categorization of individuals by social features like sex, age, and race, establishing decades of experimental background before evolutionary psychology approaches.
And one of the tools people use is something called the Who Said What paradigm
“something called the Who Said What paradigm, where people are shown photos of people along with a sentence” 24:50
Participants show non-random clustering in memory errors that quantify social categorization by sex.
“it turns out then you can quantify for each participant the degree to which their errors cluster non-randomly” 27:47
0630:57 – 36:10The Evolution of Racial Categorization and Evolutionary Psychology
Dave Pietraszewski and David Pinsof examine decades of failed attempts by social psychologists to eliminate racial categorization. They explore how researchers grew pessimistic about overcoming these biases until evolutionary psychologists like Leda Cosmides, John Tooby, and Rob Kurzban reconsidered the ancestral environment and cognitive design.
Researchers spent decades trying to find ways to stop people from categorizing by race.
“the holy grail that everyone in this field is looking for is how to we how do we get people to stop categorizing by race?” 31:35
Evolutionary psychology researchers utilized the concept of ancestral environments to re-examine why people always categorize by race.
“having an idea of an ancestral environment as different than modern circumstances, both of these principles are really useful” 35:17
0736:10 – 39:04Evaluating Evolutionary Claims and Avoiding Just-So Stories
Dave Pietraszewski and David Pinsof discuss the functional claims of evolutionary psychology regarding mental software. They emphasize that any evolutionary hypothesis must align with natural selection and warn against relying on untestable just-so stories, contrasting poor evolutionary psychology with rigorous functional analysis.
A claim about what the function of a particular piece of software is in the mind has to be consistent with the way natural selection works.
“A claim about what the function of a particular piece of software is in the mind has to be consistent with the way natural selection works.” 36:25
No further empirical work. That's my untestable just so story.
“No further empirical work. That's my untestable just so story.” 38:28
0839:04 – 48:11The Alliance Hypothesis and Evolutionary Critique of Race
The speakers evaluate whether race could be an enduring evolutionary feature, noting that modern racial categories are recent and volatile. They introduce the alliance hypothesis as a more plausible explanation for how human minds track cooperation and alliances rather than racial categories.
The idea that we have inbuilt software for detecting Irishness is preposterous.
“The idea that we have inbuilt software for detecting Irishness is preposterous.” 45:16
In contrast, there would have been selection pressures on the mind for tracking alliances.
“In contrast, there would have been selection pressures on the mind for tracking alliances.” 47:56
0948:12 – 53:52Evolutionary Principles of Alliance Tracking Systems
Dave Pietraszewski and David Pinsof discuss how cooperation, competition, and coordination form foundational evolutionary principles. They explain that navigating complex social alliances is crucial for fitness, requiring an evolved learning system designed to track patterns of affiliation and hostility rather than relying on innate, predetermined group identities.
Designs that could negotiate these relationships will do better than those that cannot.
“Designs that could negotiate these relationships will do better than those that cannot.” 49:01
The rules for identifying the identity that exists in the world is in the system.
“The rules for identifying the identity that exists in the world is in the system.” 50:52
The speakers examine how the alliance-tracking software functions as an evolved learning system that detects social cues predicting human interactions. They argue that racial categorization is a byproduct of these mechanisms rather than a dedicated adaptation, functioning as a social construct shaped by historical patterns of coordination and discrimination.
What race is is a hallucination in the sense of race doesn't exist objectively.
“what race is is a hallucination in the sense of race doesn't exist objectively.” 56:57
111:00:12 – 1:07:27Testing Alliance Tracking Software and Eliminating Racial Categorization
Dave Pietraszewski and David Pinsof discuss how evolutionary psychology models the human mind as an alliance tracking system. By presenting experimental scenarios where cooperation cues override racial divisions in the "who said what" paradigm, researchers demonstrated that categorization by race can be strongly decreased or eliminated when more relevant alliance cues are introduced.
the reason why people were categorizing people by race is because this software system, this alliance tracking system, was looking at the people, detected this relevant cue
“the reason why people were categorizing people by race is because this software system, this alliance tracking system, was looking at the people, detected this relevant cue” 1:00:22
you get categorization by the new team membership, by charity group membership, and you get people decreasing, strongly decreasing their categorization by race.
“categorization by the new team membership, by charity group membership, and you get people decreasing, strongly decreasing their categorization by race.” 1:05:04
121:07:28 – 1:12:15Experimental Distinctions Between Encoding and Retrieval in Alliances
The speakers delve into further experimental nuances, examining whether reductions in racial categorization stem from failures to encode or from selective retrieval inhibition. They explain that the mind appears to promiscuously encode race while selectively retrieving or inhibiting it depending on contextual relevance, showcasing the adaptive sophistication of human social cognition.
Age and sex are not affected by the same manipulation.
“Age and sex are not affected by the same manipulation.” 1:08:22
categorization by race was being encoded, but it was being inhibited in the system.
“categorization by race was being encoded, but it was being inhibited in the system.” 1:10:31
Host Dave Pietraszewski and David Pinsof discuss how racial categorization is a byproduct of an evolved alliance tracking system rather than an adaptation for race itself. They explain that evolutionary psychology moves beyond arbitrary behavioral descriptions by generating novel, testable design predictions, contrasting adaptationist reasoning with common criticisms of untestability.
the idea that that's a long enduring ancestral adaptive problem was the reason why those particular stimuli were created
“And the idea that that's a long enduring ancestral adaptive problem was the reason why those particular stimuli were created” 1:13:56
the function is not race per se, but it's about alliances that predicts that the system should start to care about alliances
“for example, the function is not race per se, but it's about alliances that predicts that the system should start to care about alliances” 1:18:57
Dave Pietraszewski and David Pinsof examine how understanding the evolutionary function of mental traits like anger, humor, and jealousy allows researchers to generate an abundance of empirical predictions. They describe using task analyses in graduate seminars to map out design features for solving ancestral adaptive problems.
once you have a good idea of what their function is, all of a sudden you begin you you're drowning in predictions.
“once you have a good idea of what their function is, all of a sudden you begin you you're drowning in predictions.” 1:21:28
Dave Pietraszewski and David Pinsof discuss the immense complexity of human psychological machinery, comparing systems like food learning and alliance tracking to building a robot. They explore how empirical research maps out cognitive functions, addressing criticisms of evolutionary psychology and highlighting productive areas of study like emotional research.
the idea is there's a really complicated machinery for For not starving to death.
“the idea is there's a really complicated machinery for For not starving to death.” 1:26:02
And I'm always struck with how little we know about any one of these functions
“And I'm always struck with how little we know about any one of these functions” 1:26:46
David Pinsof and Dave Pietraszewski examine Aaron Sell's work on the triggers and evolutionary functions of anger. Contrasting frustration-aggression theory with welfare trade-off models, they explain how anger functions as software for negotiating better treatment, evaluating costs, and managing relationship-dependent strategies.
what anger is, is a set of adaptations for negotiating treatment and how people treat one another.
“what anger is, is a set of adaptations for negotiating treatment” 1:30:56
the idea is that what anger is, is it's a program, software in the mind for negotiating and bargaining for better treatment.
“what anger is, is it's a program, software in the mind for negotiating and bargaining for better” 1:31:56
Dave Pietraszewski and David Pinsof discuss the evolutionary mechanics of anger, explaining how the emotion functions as an internal calculation of costs and benefits between individuals. They analyze how welfare trade-off ratios govern interpersonal conflict, how anger acts to recalibrate these ratios without physical surgery, and how various strategies can diffuse angry responses.
When anger happens, the benefit to the person making you angry is small, and the cost to you is large.
“When anger happens, the benefit to the person making you angry is small, and the cost to you is large.” 1:36:51
Anger is a way of recalibrating other people's welfare trade-off ratios toward you without doing neurosurgery.
“it's a way of recalibrating uh other people's uh welfare trade-off ratios toward you um without doing neurosurgery.” 1:38:34
The speakers examine real-life vignettes that demonstrate how anger responds to perceived internal mental states rather than just overt behavior, such as a partner getting angry without any visible action. They conclude by discussing how having a clear theory of evolutionary function cuts through behavioral noise and provides a structured social grammar for human emotions.
Anger is not directed at mere behavior; it is exquisitely fine-tuned to the ratio in another person's head.
“anger isn't about your actions, it's about a number in your head. It's about the ratio in your head, and it is exquisitely fine-tuned to that ratio” 1:43:25
Having a theory of function reduces the complexity and noise of psychological data.
“if you have a theory of function, It reduces down all of the complexities and all of the noise” 1:46:35
Host Dave Pietraszewski and David Pinsof discuss how evolutionary task analysis and adaptationism help constrain the hypothesis space in psychology. By making explicit assumptions about ancestral selection pressures, researchers can evaluate the plausibility of hypotheses, such as ruling out racial categorization while supporting plausible adaptations like alliance formation and anger.
Already you have wiped away 99.99% of all the possible hypotheses you could have about the thing you were studying.
“Already you have wiped away 99.99% of all” 1:49:08
If you're explicit about the assumptions you're making about the ancestral environment, that opens you up to new kinds of criticisms and arguments against your theory.
“If you're explicit about the assumptions you're making about the ancestral environment, that opens you up” 1:55:14
Dave Pietraszewski and David Pinsof examine criteria for good evolutionary solutions, explaining that cognitive adaptations must efficiently solve ancestral problems rather than simply pursue subjective happiness or positive emotional states, which misinterprets how natural selection designs motivational systems.
Evolution does not design organisms to get stuff inside of their own heads.
“Evolution does not design organisms to get stuff inside of their own heads.” 1:58:39
If happiness truly increased our fitness, we wouldn't evolve to pursue happiness, we would just become happier.
“If happiness truly increased our fitness, we wouldn't evolve to pursue happiness, we would” 1:59:45
Dave Pietraszewski and David Pinsof discuss how viewing human psychology through an evolutionary and engineering lens unessentializes basic concepts like groups and happiness. Pinsof argues that happiness is not a mere motivational tool to acquire fitness, but an adaptation for recalibrating expectations and motivations when outcomes exceed initial predictions, offering a more rigorous framework than traditional social identity theory.
Pinsof argues that happiness functions to recalibrate our motivations and expectations when situations turn out better than expected.
“what happiness is is a way of recalibrating our motivations and our expectations when something turns out to be better than we intuitively expected” 2:04:09
The hosts integrate social identity theory with their adaptationist framework, explaining that group membership satisfaction shifts dynamically with status and alternatives. They conclude that moving beyond simplistic intentional explanations transforms vague psychological statements into testable scientific predictions, avoiding circular just-so stories in evolutionary psychology.
A passage from this discussion.
“And it makes predictions about to the extent that the group membership thing, what you're” 2:09:12
Dave Pietraszewski and David Pinsof discuss why there is no such thing as non-evolutionary psychology, arguing that any claim about the mind entails evolutionary assumptions. Making these assumptions explicit helps researchers constrain hypothesis spaces, avoid implausible theories, and open up new avenues for scientific criticism and refutation.
I have this belief that there is no such thing as non-evolutionary psychology.
“I have this belief that there is no such thing as non-evolutionary psychology.” 2:12:25
If you're s making a claim about the mind, you are implicitly making an evolutionary claim because the mind is a product of evolution.
“If you're s making a claim about the mind, you are implicitly making an evolutionary claim” 2:13:49
The hosts discuss the historical critique of evolutionary psychology as relying on just-so stories, touching upon Rudyard Kipling's imperialist background, before wrapping up the episode with listener reminders, requests for reviews, and closing remarks about community support on Patreon.
That's why evolutionary psychology isn't a just so story
“that's why evolutionary psychology isn't a just so story” 2:14:51
Well, that gives us yet another reason to be happy that our discipline is not engaged in just so storytelling
“that gives us yet another reason to be happy that our discipline is not engaged in just so storytelling” 2:16:25