Black, White, and Red Precede Blue: How the Berlin-Kay Hierarchy Governs Color Terms Across Languages

Linguists have long known that human languages share structural universals, like building words from consonants and vowels, but we assume the meanings attached to those sounds are entirely arbitrary. A tree is an "árbol" in Spanish and a "ki" in Japanese, with no underlying rule dictating the choice. Yet when it comes to the colors of those leaves, the meanings themselves follow a rigid evolutionary script.[5]

In 1969, anthropologist Brent Berlin and linguist Paul Kay published a landmark study that shattered the prevailing belief that cultures carve up the visual spectrum randomly. After analyzing the vocabularies of 98 languages, they discovered that every human language draws from a universal inventory of exactly eleven basic color categories. Furthermore, these words emerge in a strict chronological order.[3]

The Evolutionary Sequence of Color

If a language has only two basic color terms, they always describe dark and light, effectively covering black and white. When a culture develops a third term, it is universally red. The fourth and fifth terms are always yellow and green, though their exact order varies slightly depending on the specific environment.[3]

Only after a society has established words for black, white, red, yellow, and green does a dedicated term for blue appear. This represents the fifth stage of the Berlin-Kay hierarchy. From there, languages acquire a word for brown, followed finally by purple, pink, orange, and gray in no particular order.[3]

English utilizes all eleven basic terms, while Russian has evolved a twelfth, splitting blue into "sinij" for dark shades and "goluboj" for light ones. To qualify as a basic term, a word must be a single unit, widely applicable, and universally understood by native speakers. Words like "crimson" or "blonde" do not count, as they are either derivative or restricted to specific objects.[3][5]

Why Warm Colors Come First

The biological driver behind this sequence remained a mystery until cognitive scientists began analyzing how humans interact with their environments. In 2017, researchers at the Massachusetts Institute of Technology analyzed a massive database of natural images to understand why warm colors consistently earn names before cool ones. They found a stark divide in visual utility.[1]

Edward Gibson, an MIT professor of brain and cognitive sciences, discovered that objects in the foreground of a scene are overwhelmingly likely to be warm-colored. Cool colors, conversely, dominate the background in the form of skies, foliage, and water. "Warm colors are in the foreground, they're all the stuff that we interact with and want to talk about," Gibson noted.[1][5]

Because humans need to distinguish between foreground items, languages prioritize labels for those specific hues. "We need to be able to talk about things which are identical except for their color: objects," Gibson explained. This utilitarian pressure ensures that reds and yellows are more consistently communicated than greens or blues across more than 100 studied languages.[1][5]

Testing the Theory in the Amazon

To verify these universal constraints, researchers have sought out isolated populations with minimal color vocabularies. In 1972, psychologist Eleanor Rosch traveled to Papua New Guinea to study the Dugum Dani people. She confirmed that the Dani utilize exactly two basic color terms, which divide the entire visual spectrum into dark-cool and light-warm shades.[5]

Despite lacking a word for red or blue, the Dani speakers could still perceive the differences between Munsell color chips. When Rosch taught them new, arbitrary names for various shades, the participants learned the names for highly saturated "focal" colors much faster than for muted ones. The perceptual salience of these primary hues is hardwired into the human visual system.[5]

More recently, Gibson's team traveled to the Bolivian Amazon to study the Tsimane' society, a remote population whose monolingual speakers consistently use only three color words. These terms correspond perfectly to the Berlin-Kay prediction: black, white, and red. While they possess a few broader descriptors for yellow or brown, they lack a dedicated basic term for blue.[5]

The Tsimane' data provided a rare real-time look at how languages acquire new stages. The researchers found that Tsimane' members who had learned Spanish as a second language began dividing the color space more precisely. Crucially, these bilingual speakers started using two distinct native Tsimane' words to separate blue from green.[5]

Rather than simply borrowing the Spanish words, the bilingual individuals repurposed existing terms from their own language to match the industrialized categorization. "Learning a second language enables you to understand these concepts that you didn't have in your first language," Gibson observed. The cognitive framework shifted, pulling their native vocabulary into a higher Berlin-Kay stage.[5]

The Universal Baseline

To ensure the 1969 findings were not an artifact of industrialized bias, researchers launched the World Color Survey. Linguists Paul Kay and Terry Regier collected naming data from an average of 24 native speakers across 110 unwritten languages. The massive dataset confirmed that while category boundaries fluctuate, the focal points of basic colors remain universally anchored.[4]

Participants in the World Color Survey were shown a standardized palette of 330 Munsell color chips and asked to identify the "best example" of each term in their language. Across all 110 societies, these focal choices clustered around the exact same highly saturated chips. The mathematical center of "red" in a three-term language perfectly matches the center of "red" in an eleven-term language.[2][4]

This clustering proves that human color categories are not arbitrary slices of a continuous spectrum, but rather expansions outward from biologically fixed landmarks. When a language adds a new term, it does not redefine the entire spectrum. Instead, it carves a new boundary around an already-salient focal point that previously fell under a broader umbrella term.[2]

This biological anchoring refutes the strictest versions of cultural relativism, which argue that language entirely dictates perception. A culture may not have a word for pink, but its speakers still see the exact same wavelength of light as a London designer. The vocabulary simply reflects how often they need to point that specific wavelength out to someone else.[3][5]

The hierarchy remains one of the most robust findings in cognitive linguistics, proving that human communication is shaped by the physical world we navigate. The next time you reach for a red apple against a green canopy, your brain is executing a visual sorting algorithm that predates recorded history. The words we use are just the final output.[5]