Human Variation, Standardisation and the Drift Toward Homogeneity
Exploring the dangers of reducing diversity and exposing how 'typical' became 'normal'
EVOLUTIONBIOLOGYSYSTEMS
Alexandra Chambers
8/26/20264 min read
Human beings are inherently diverse. We differ genetically, biologically, neurologically, developmentally and environmentally. Even identical twins, despite beginning with near-identical inherited genomes, do not begin with or develop through perfectly identical biological conditions.
That makes typical a useful word, because it describes what occurs most frequently within a population. If most people reach a developmental milestone within a particular period, we can call that pattern typical. It is an observation about frequency. Normal, however, carries an additional meaning beyond describing statistical frequency. It is often used to imply an expected or standard state: a way that a human being is presumed to develop or function. It is this movement from statistical description to biological expectation that creates the problem.
Human variation is fundamental, therefore there cannot be a single phenotypic human template against which every individual is meaningfully understood as a deviation. We can observe that some traits, behaviours or developmental trajectories occur more frequently than others, but frequency does not transform them into a biological standard. Population patterns emerge from that variation, and typicality describes those patterns. We should not reverse this process by observing the most common pattern, calling it normal, and then treating everyone else as though they have departed from an expected human template.
Developmental milestones, averages and reference ranges can still be useful. They tell us what commonly occurs and can help identify when somebody may need investigation or support. However, they remain descriptions of populations, not definitions of what an individual human being is supposed to be. Typical exists because frequency exists, but normal does not automatically follow from frequency. Human beings exist across enormous biological variation. Some characteristics are more common than others, and none of that creates a single ‘normal’ human.
Modern systems repeatedly favour standardisation because standardisation makes populations easier to organise, compare and manage. Education relies on common developmental expectations and assessment structures. Medicine relies on reference ranges, diagnostic criteria and treatment protocols. Bureaucracies require people to fit predefined categories. Algorithms sort behaviour into predictable patterns. Industrial agriculture reduces ecological variation. Mass production reduces material variation. Global platforms increasingly shape communication, attention and culture through shared technical infrastructures. These systems do not need to share a common agenda to produce a common effect. They operate under similar incentives: variability is difficult and expensive; predictability is scalable and cost- effective.
Standardisation itself has value. Shared standards can improve safety, communication and access. The problem begins when descriptive averages become interventions and expectations. A statistical pattern becomes a model of what a person is presumed to be. Typical becomes normal, and divergence becomes deficit. Deficit becomes something requiring explanation or correction.
Once an average is treated as an expected standard, the sequence becomes predictable: identify difference, classify it, explain it and, where possible, correct it. Sometimes correction is necessary because disease and dysfunction are real, but difference and dysfunction are not synonymous. A trait can be uncommon without being inherently defective.
That logic also sits uneasily beside biology. Evolution depends on variation. Sexual reproduction continually generates new combinations. Immune systems depend on diversity. Microbiomes depend on complex ecological relationships. Human genomes themselves contain evidence of repeated mixing between divergent populations, including introgression from archaic humans such as Neanderthals and Denisovans. Our evolutionary history is characterised by variation, contact, recombination and selective retention.
This fits directly with the Divergent Genomics principle that complexity can emerge through the integration of compatible difference. Difference alone is not enough; incompatible combinations may disappear. However, where difference remains compatible with survival, reproduction and wider biological function, it can become incorporated into a larger system.
Our constellation model of biology captures this more accurately than a linear model of human biological development. A constellation is a structure created by distinct points remaining distinct while forming something larger. Human genomes can be understood similarly: they contain accumulated layers of ancestral variation, recombination, introgression and adaptation. Variation expands the range of biological possibilities available to a population.
The issue becomes more serious when social standardisation begins to intersect with reproductive biotechnology. Embryo selection, polygenic prediction and genome editing remain limited, particularly for complex traits, but they introduce a new possibility: cultural ideas about desirable and undesirable characteristics could increasingly influence which forms of biological variation are carried forward. That would not require a central programme. Similar individual decisions made under similar technological, economic and cultural pressures could produce population-level effects.
Genomes are not collections of isolated switches - variants interact with other variants, developmental systems and environments. Their consequences are context-dependent. A trait that is neutral or disadvantageous under one set of environmental conditions may become advantageous under another. Variation can therefore persist across populations even if its value is unidentified.
Reducing diversity according to present-day definitions of desirability may consequently remove biological possibilities whose significance only becomes apparent under different environmental, ecological or developmental conditions.
The crucial distinction is between integration and homogenisation. Integration allows different components to remain different while participating in a larger functioning system. Homogenisation creates order by reducing difference. Biology repeatedly relies on the first. Organs contain specialised cell types. Ecosystems contain specialised organisms. Immune systems depend on varied cell populations and receptor repertoires. Complexity is produced through the coordination of difference rather than through making every component the same.
Difference without compatibility produces fragmentation. Compatibility without difference produces uniformity. Compatible difference produces complexity. Homogenisation is fundamentally different from integration. It represents the loss of variation in exchange for predictability.
Many modern systems independently reward standardisation and penalise variation. Some forms of homogenisation are intentional at the institutional level even when the wider outcome is not. That may be the more important problem. Humanity does not require a central architect of homogenisation if its institutions repeatedly select for the same qualities.
Billions of years of evolution have generated, filtered and retained biological difference. A civilisation increasingly organised around predictability should be very cautious about assuming that the variation it finds inconvenient is therefore expendable.
Image: Ernst Haeckel, Ascidiae, Plate 85 from Kunstformen der Natur (1904). Public domain. Source: Wikimedia Commons.