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TB871: Going beyond WEIRD biases

Note: this is a post reflecting on one of the modules of my MSc in Systems Thinking in Practice. You can see all of the related posts in this category


As mentioned in a previous post, recent research in behavioural economics and evolutionary psychology has shed light on why humans often make seemingly irrational choices. Behavioural economics focuses on how people’s decisions deviate from classical economic theories of rationality, while evolutionary psychology examines how these choices may have been advantageous in our hunter-gatherer past. These fields suggest that our built-in biases, once beneficial for survival, now manifest as errors in modern contexts.

A seminal study entitled ‘The Weirdest People in the World?’, challenges our understanding of human thinking by revealing a significant bias in psychological research. This meta-study suggests that much of what we consider to be universally true about human cognition is based on findings from a narrow, unrepresentative segment of the global population. This segment, termed WEIRD (Western, Educated, Industrialized, Rich, and Democratic), is disproportionately represented in psychological research.

The authors of the study state:

Behavioral scientists routinely publish broad claims about human psychology and behavior in the world’s top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich and Democratic (WEIRD) societies. Researchers—often implicitly—assume that either there is little variation across human populations, or that these “standard subjects” are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species—frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self‐concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior—hence, there are no obvious a priori grounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions of human nature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity.

(Henrich, Heine & Norenzayan, 2010, p.2)

The authors demonstrate that WEIRD subjects often show distinct psychological traits compared to non-WEIRD populations. For instance, in spatial cognition, WEIRD individuals typically exhibit an egocentric bias, while non-WEIRD groups often use allocentric reasoning. Similarly, differences are noted in social decision-making, moral reasoning, and self-concept. These findings highlight the importance of considering cultural contexts in psychological studies and caution against overgeneralising results from WEIRD populations.

One key aspect explored in the study is the difference between analytic (rule-based) and holistic (family resemblance-based) thinking. The following diagram taken from the paper illustrates this contrast by showing the relative dominance of these cognitive styles across different cultural groups:

The image is a bar graph comparing the relative dominance of rule-based versus family resemblance-based judgments of categories for a cognitive task among different groups. The y-axis is labeled "%Analytic - %Holistic Judgments," with positive values indicating a bias toward rule-based judgments and negative values indicating a bias toward family resemblance-based judgments. The x-axis lists the groups: EuroAm, Herders, Fishermen, Farmers, Asian American, and East Asian. EuroAm and Herders show positive values, while Asian American and East Asian show negative values. Both Fishermen and Farmers have small positive values. The graph bar sizes vary, with EuroAm having the highest positive value and East Asian the lowest negative value.

The diagram compares European-American, Asian-American, and East Asian university students, alongside herders, fishermen, and farmers from Turkey’s Black Sea coast. It highlights that European American students exhibit the most pronounced bias towards rule-based judgments, while other groups show varying degrees of holistic thinking. This evidence indicates that societies and cultures are not all equally predisposed to systems thinking, which requires the ability to think holistically and in process terms.

This insight is crucial for systems thinking, which relies on holistic and process-oriented thinking. The Henrich et al. study indicates that not all cultures are equally predisposed to this type of thinking. Therefore, when engaging with diverse cultures, we must remain mindful of these differences to encourage better understanding and collaboration.

Section 3.3 of the paper further delves into the implications of these differences in thinking styles for various cognitive domains, such as social interactions, problem-solving approaches, and educational practices. For example, the preference for analytic thinking in WEIRD societies often leads to a focus on categories and rules, while holistic thinkers from non-WEIRD societies might approach problems by considering relationships and contexts.

This difference can influence how people from different cultures collaborate and make decisions. In professional and educational settings, understanding these cognitive styles can improve communication and teamwork by recognising and valuing diverse perspectives. Moreover, appreciating these differences can lead to more effective strategies in fields like marketing, policy-making, and international relations, where cultural sensitivity is paramount.

By acknowledging and addressing these biases, we can develop a more accurate and comprehensive view of human behaviour, ultimately enhancing our ability to understand and connect with people from diverse cultural backgrounds.

References

TB871: Old and new mode thinking errors

Note: this is a post reflecting on one of the modules of my MSc in Systems Thinking in Practice. You can see all of the related posts in this category


Smartphone displaying a thinking face emoji on a wooden surface.

In a previous post, I discussed System 1 and System 2 thinking, sometimes described as ‘old’ and ‘new’ modes of thinking. Both have their benefits and drawbacks, as shown in the following table:

Thinking errorsOld modeNew mode
Prejudice
Stereotyping
Jumping to conclusions
Being inflexible
Being quick to judge
Misjudging probabilities
Ignoring what other people say
Taking a very narrow view
Missing the point
Being over-influenced by sales gimmicks
Confirmation bias
Overgeneralising
Catastrophising
Emotional reasoning
Blaming
Black-and-white thinking
Filtering out the positive
Assuming others should understand without explaining
Taking things personally
Making assumptions without verifying facts
Failing to consider long-term consequences

The thinking errors identified above underpin the field known as ‘behavioural economics,’ which focuses on understanding why people often make decisions that deviate from the rational choices predicted by classical economic theory. This discrepancy may stem from the restrictive assumptions of classical economics as much as from the irrationality of economic actors.

Another discipline, ‘evolutionary psychology,’ suggests that these seemingly irrational decisions might be the result of ingrained biases that were advantageous for survival in early human hunter-gatherer societies. These biases, which were once rational from an evolutionary standpoint, are now less useful and manifest as errors in modern urban settings.

It’s important to recognise that cognitive biases not only result from evolutionary adaptations but are also influenced by social and cultural factors. For instance, modern environments bombard individuals with information and choices, often leading to decision fatigue and reliance on heuristics or mental shortcuts. These shortcuts, while helpful in reducing cognitive load, can contribute to systematic thinking errors.

Additionally, the role of education and personal experiences do, of course, shape how individuals perceive and react to different situations, further complicating the landscape of decision-making. Understanding these factors can help in developing strategies to mitigate the impact of cognitive biases in contemporary contexts.

References


Image by Markus Winkler

TB871: Human gizmos and time-binding

Note: this is a post reflecting on one of the modules of my MSc in Systems Thinking in Practice. You can see all of the related posts in this category


Professor Michael Thomas, Professor at Birkbeck, University of London, and Director of the Centre for Educational Neuroscience, in his essay ‘Humans Apart’ talks about humans possessing five interconnected cognitive abilities, which he terms gizmos (The Open University, 2020a).

These are: tool use, language, conceptual power, a clutch, and niche building. (I’m particularly interested in the idea of the ‘clutch’)

  1. Tool Use: Humans excel in creating and using tools, facilitated by dextrous hands and opposable thumbs. Our brain supports fine motor control without needing a specific brain part for tool use, unlike other animals. The extended growth of the front part of the cortex enhances our motor functions.
  2. Language: Similar to tool use, language involves complex motor sequences for social interaction. The evolution of articulators (lips, tongue, larynx) and airflow mechanisms allows speech production. Language circuits in the brain repurpose existing circuits for motor movements and social cognition. Language enables knowledge acquisition through instruction and supports abstract thinking and sophisticated social coordination.
  3. Conceptual Power: The enlarged cortex allows humans to develop complex ideas and deep patterns of meaning in sensory and motor systems. This includes mental models, sophisticated social scripts, and meta-cognition. Enhanced internal control leads to precise modulation of thought, enabling hypothetical and counterfactual thinking.
  4. Clutch: This mechanism, located in the prefrontal cortex, allows the brain to disengage from immediate perception and engage in internally focused thought. This enables imagination, mental simulations, perspective-taking, and reflection on moral dilemmas, even while performing automatic activities.
  5. Niche Building: Combining tool use, social coordination through language, and conceptual power, humans excel in niche construction, adapting environments to suit their needs. This ability allows humans to inhabit diverse environments and modify them extensively through innovations like clothing, dwellings, and farming equipment.

Thomas goes on to say share the following timeline of human evolution, detailing the physical, brain, species, tools, and cultural developments over millions of years (The Open University, 2020b).

A chart showing the timeline of human evolution, detailing changes in physical traits, brain size, species, tools, and culture over millions of years.

Around 56 million years ago, primate precursors emerged with traits like grasping hands and feet, and forward-facing eyes, living in trees. By 25-30 million years ago, apes appeared in rainforests. Between 6-8 million years ago, the evolutionary paths of chimps, bonobos, and bipedal hominins diverged. By 4-5 million years ago, archaic humans had developed.

A significant increase in brain size occurred over the next few million years, from 600 cm³ to 1300 cm³. Despite this, there were periods with no significant changes in tool technology or cultural behaviour. For example, during the time of the Homo genus (2.5 million years ago) and the development of full bipedalism (1.5 million years ago), stone tools and large cutting tools were used, and social groups began to form.

However, significant cultural and technological advancements only occurred much later. Around 800,000 years ago, the first hearths appeared, followed by ritual defleshing of skulls and flake production routines between 150,000 and 195,000 years ago. Despite the larger brain size, there was still little evidence of symbolic behaviour or cultural variation in tool use.

The major shift happened around 100,000 years ago with the onset of symbolism and the uninterrupted accumulation of innovations. This period marked the beginning of non-utilitarian objects and material representations of numbers preceding literacy, leading to a cultural explosion around 8,000 years ago.

This reminds me of the work of Alfred Korzybski, the founder of General Semantics, who used the term ‘time-binding’ to describe the gradual accumulation and transmission of knowledge through generations, enabled by symbolic tools and cultural practices. This perhaps helps explain the exponential growth in human culture and technology despite the slow pace of biological evolution in the above timeline. Time-binding, as proposed by Korzybski, involves using various information tools to transmit knowledge and abstractions through time, allowing each generation to build upon the knowledge of the previous ones.

Throughout human history, these information tools have taken many forms, starting from basic symbols and writing to more complex systems like books and digital media. The smartphone represents the current pinnacle of this evolution, epitomising the culmination of various information technologies, integrating functionalities of numerous earlier tools into a single device. With smartphones, we can access vast amounts of information instantly, communicate globally, record and share knowledge, and utilise a multitude of applications designed to enhance cognitive functions. This capability significantly boosts our ability to time-bind, accelerating the accumulation and dissemination of knowledge across generations.

By leveraging these sophisticated information tools, humans have extended their cognitive capacities beyond the biological limits of the brain. For instance, memory cards expand a phone’s storage, just as written notes extend our memory, and search engines enhance our information retrieval capabilities. The smartphone thus serves as a prime example of how human ingenuity in developing information tools facilitates the continuous and exponential growth of cultural and technological complexity. It stands as a testament to our unique ability to transcend biological constraints through cultural and technological innovation.

Marshall McLuhan’s assertion that “we shape our tools, and thereafter, our tools shape us” aptly describes the relationship between humans and the technologies we create. In the context of Korzybski’s time-binding and Thomas’ evolutionary timeline, this concept highlights the reciprocal nature of technological and cultural development. As humans innovate and create tools to manage and transmit knowledge (e.g. the smartphone) the subsequent widespread adoption of these tools fundamentally alters human behaviour, cognition, and social structures. The smartphone, as a quintessential information tool, not only exemplifies our ability to amass and apply knowledge across generations but also reshapes how we think, learn, and interact with the world. It influences our cognitive processes, social interactions, and even the way we perceive reality, thus perpetuating a cycle of continuous cultural and technological evolution.

It’s just a shame, as I saw someone say on social media years ago, that we’ve got the world’s information at our fingertips, yet we use this device to argue with each other and share cat pictures.

References

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