Memetics is a theoretical framework that treats cultural ideas, behaviors, and practices as units of information that spread, compete, and evolve in ways analogous to biological genes. The term was coined by evolutionary biologist Richard Dawkins in his 1976 book The Selfish Gene, where he proposed that culture evolves through a replicator he called the “meme.” While the word “meme” now conjures images of viral internet jokes, the original concept was far more ambitious: an attempt to explain how human culture changes over time using the same principles that drive biological evolution.
The Core Idea: Culture as Evolution
At its heart, memetics borrows three principles from Darwinian evolution and applies them to culture: inheritance (transmission from person to person), variation (ideas change as they spread), and selection (some ideas survive while others die out). A meme can be anything that passes between minds through imitation: a melody, a catchphrase, a fashion trend, a religious ritual, a cooking technique. Memes replicate through imitation, and their success depends on three qualities borrowed from evolutionary theory: longevity (how long the idea persists), fecundity (how quickly it spreads), and fidelity (how accurately it copies itself).
Charles Darwin himself believed that natural selection was not limited to biology, noting that changes in language, consciousness, and technology also appeared adaptive. Memetics took that intuition and formalized it, proposing that cultural items compete for limited resources, specifically human attention and memory, in much the same way organisms compete for food and territory.
Imitation as the Engine
Psychologist Susan Blackmore expanded the theory significantly in her 1999 book The Meme Machine. Her central argument flipped a common assumption on its head. Most people assume humans imitate because we’re intelligent. Blackmore argued the reverse: we became intelligent because we imitate. In her view, humans are the only animals that broadly imitate all kinds of observed behavior, rather than acting purely from instinct, conditioned responses, or narrow preset learning like certain bird calls. Once early humans began imitating each other, the pressure of memetic selection, combined with genetic selection, drove the evolution of larger brains. More available intelligence meant better meme reproduction, which in turn favored even greater cognitive capacity. Our seemingly oversized brains, in this framework, are a product of the arms race between genes and memes.
Memeplexes: When Ideas Cluster Together
Individual memes rarely travel alone. They tend to bundle into what researchers call “memeplexes,” a combination of “meme” and “complex.” A memeplex is a group of memes that support each other and replicate more effectively as a package than any single meme could on its own. Religions are a commonly cited example: beliefs about an afterlife, moral codes, communal rituals, and dietary rules reinforce one another, making the whole system stickier than any individual component. Political ideologies, scientific paradigms, and even language systems function similarly. Memes within a memeplex assemble together in closely linked clusters, and they tend to be transmitted as a unit because adopting one element makes the others feel natural or necessary.
Memetics vs. Internet Memes
The gap between academic memetics and what most people call “memes” is worth understanding. When Dawkins coined the term, he was describing any culturally transmitted unit of information, from architectural styles to moral beliefs. Internet memes, the image macros, short videos, and catchphrases that circulate on social media, are a tiny and very specific subset of this broader concept. They happen to be a vivid illustration of memetic principles in action: they mutate as users remix them, they compete for attention in crowded feeds, and the fittest versions spread while weaker ones disappear.
Current research on internet memes tends to be data-rich, since digital artifacts are easy to track and quantify. Academic memetics in the broader sense has historically struggled with exactly this problem. Researchers in information science have found it difficult to measure and quantify memes as cultural units, which has been one of the field’s persistent challenges.
How Memetics Applies to Propaganda
One area where memetic thinking has gained practical traction is in understanding how propaganda spreads online. Propaganda aims to influence opinions or actions through well-defined rhetorical and psychological devices, and the internet has amplified its reach dramatically. What researchers call “computational propaganda” uses technological tools to distribute targeted messages across social media platforms, reaching specific communities at high speed.
Visual memes are particularly effective vehicles for this. They can be quickly understood with minimal effort, they easily go viral, and they compress complex persuasive messages into a format that feels casual and shareable. Organizations ranging from political campaigns to terrorist groups like ISIS have relied on memes and visual content to spread extremist rhetoric and recruit supporters, precisely because images and videos attract far more attention and travel further than plain text. Researchers have identified that propaganda memes often work by exploiting shortcuts in reasoning, leveraging emotions or using logical fallacies rather than constructing coherent arguments.
The Criticism: Is Memetics Real Science?
Memetics has attracted sharp criticism from scientists and philosophers, and it’s worth being honest about where the field stands. The most fundamental objection is definitional: while genes are well-defined molecular structures whose chemistry has been extensively investigated, memes are abstract and resist clear definition. There is no equivalent of DNA for cultural information, no replicating code that can be identified and measured. Without a clear-cut definition of what a meme actually is, critics argue, the entire framework lacks the precision needed for scientific testing.
This absence of a physical “script” raises a deeper problem. Biological evolution depends on high-fidelity copying of genetic information. Cultural transmission is notoriously imprecise. Every time you retell a story or teach a skill, the content shifts. Critics contend that without a mechanism for reliable copying, the analogy to genetic evolution breaks down. Some researchers have described memetics as nothing more than a conceptual framework lacking explanatory power. Luis Benitez-Bribiesca, a prominent critic, called memetics “a pseudoscientific dogma” where memes are loosely compared to genes, viruses, or parasites without verification. That characterization has stuck in parts of the academic world.
Where the Field Went
Memetics as a formal discipline peaked in the late 1990s and early 2000s. The Journal of Memetics, the field’s dedicated academic publication, eventually ceased operation. But the core questions memetics raised didn’t disappear. They migrated into related fields, most notably “cultural evolution” and “dual inheritance theory,” which study how culture and biology shape each other using more rigorous mathematical models.
Dual inheritance theory proposes two coupled selection processes: one acting on human populations to explain how we evolved specific learning mechanisms, and another operating on cultural items to explain how practices and technologies become optimized for diverse environments. This framework takes the broad insight of memetics, that culture evolves, and grounds it in testable models without requiring the strict gene-meme analogy that drew so much criticism. Some interpretations of dual inheritance theory are explicitly populational but not Darwinian, meaning they apply statistical thinking to cultural change without claiming that cultural items undergo natural selection in the biological sense.
Memetics, then, occupies an unusual position. As a standalone scientific discipline, it never achieved mainstream acceptance, and many of its strongest claims remain unverified. As a way of thinking about culture, it has been genuinely influential, shaping how researchers across multiple fields approach questions about why certain ideas spread, why some beliefs persist for millennia, and why human culture changes at all. The vocabulary Dawkins introduced, memes, memeplexes, cultural replicators, continues to frame conversations even among researchers who reject the theory’s more ambitious claims.