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For all the world’s linguistic diversity, human languages still obey some universal patterns. These run even deeper than grammar and syntax; they’re rooted in statistical laws that predict how frequently we use certain words and how long those words tend to be. Think of them as built-in guardrails to keep language easy to learn and use.

And now scientists have found some of the same patterns in whale vocalizations. Two new studies published this week show that, despite the vast evolutionary distance between us, humans and whales have converged on similar solutions to the problem of communicating through sound. “It strengthens the view that we should be thinking about human language not as a completely different phenomenon from other communication systems but instead think about what it shares with them,” says Inbal Arnon, a professor of psychology at the Hebrew University of Jerusalem and a co-author of one of the studies.

Arnon and her colleagues, whose paper was published on Thursday in Science, analyzed eight years of humpback whale song recordings from New Caledonia in the South Pacific—and found that they closely adhered to a principle called Zipf’s law of frequency. This mathematical-power law, a hallmark of human language, is observed in word-use frequencies: the most common word in any language shows up twice as often as the second most common, three times as often as the third most common, and so on.

Listen to the humpback whale songs:

But before they could analyze the recordings, the researchers had to identify the segments that were analogous to words (though, importantly, without semantic meaning) in a stream of otherworldly grunts, shrieks, and moans. They found themselves in the same predicament as a newborn baby—so naturally, that’s where they turned for guidance. Human infants “get this continuous acoustic signal,” Arnon says, “and they have to figure out where the words are.”

A baby’s strategy is simple: listen for unexpected combinations of sounds in adult speech. Whenever you identify one, you’ve probably located a boundary between words because those uncommon transitions are less likely to occur within words.

Incredibly, humpbacks may be using the same approach. When the researchers segmented whale songs based on these “transitional probabilities”—just as a human infant would—they fit Zipf’s law of frequency like a glove. On the other hand, 1,000 arbitrarily shuffled elements of the data came nowhere near a match, strongly suggesting the transitional probability results weren’t a product of random chance.“We were all dumbfounded,” says co-author Ellen Garland, a whale song expert at the University of St. Andrews in Scotland. “There was the possibility of discovering these same structures. Did we think we would? Hell no.”

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