Sperm whales change how they communicate when ships are nearby 19%

By Laura Baisas21%

7/22/2026, 6:00:00 AM

BS Summary: This article contains 22 faulty reasoning types, including Optimism Bias, Post Hoc (False Cause), and Representativeness Heuristic, with Overconfidence Bias as the most egregious example at 14.5% saturation with 118 hits. Analysis detected 1,164 faulty-reasoning hits from 815 analyzed words, generating a BS Score of 27.9% and a BS Rank of 19% (22,271 of 27,321 articles). This article is better (less manipulative) than 81.50% of the article peer group.

Like a group of scheming teens shifting their conversation when a teacher walks by, sperm whales ( Physeter macrocephalus ) change the way they communicate when ships are near. 
The time between their clicks becomes shorter, and they even change how they use certain vowel sounds. 
The findings add another piece to the puzzle of translating the language of sperm whales , and are published today in the journal Ecological Informatics . 
For the past six years, Project CETI (Cetacean Translation Initiative) has been listening in on the chatter of sperm whales in the Eastern Caribbean off the coast of the island of Dominica. 
They’ve used various robotics and machine learning methods to study and attempt to translate what the whales are saying. 
“We’re beginning with an unknown communication system that is almost like an alien,” David Gruber , Project CETI founder and CEO and National Geographic Explorer, tells Popular Science . 
“And in the first few years, it was about understanding the fundamental units of what sperm whales are using to communicate. 
Now, we’re beginning to make language models that are able to predict dive behavior by their voices, as we understand more about their alphabet.” 
Codas, vowels, and ships 
For this new study, the team used acoustic recordings of sperm whales near Dominica . 
They looked at vocalizations called codas , or the structured click sequences that the whales use to communicate. 
Sperm whales also use sounds that resemble vowels called an A-vowel and an I-vowel. 
In total, they analyzed over 1,000 codas collected from acoustic tags attached to 15 individual whales over four years. 
When vessels are present, the whale’s codas change. 
The codas are shorter, and they will increase certain vowels, particularly A-vowels 
“One key thing is they’re [the codas] going to be really close together. 
We call it the interclick interval. 
So the spacing between each click becomes really compressed,” says Gruber. 
“And then they will increase their use of a certain vowel. 
So they’ll be using more of the encoded vowels. 
They [the vowels] become harder for us to distinguish, and they kind of look like spaghetti.” 
According to Gruber, this is similar to humans talking in a crowded and noisy nightclub or bar. 
The conversation likely won’t be a whispered, ann in-depth analysis of a favorite author’s work, or explaining a complicated recipe. 
Instead, the noise may make it so that you have to ask the same question three times and the conversation may be more focused on getting another drink, hitting the dance floor, or leaving. 
They team also found that the presence of ships in the area can also be predicted by the changes in sperm whale’s codas, and that the codas themselves can indicate that a vessel is present nearby. 
“We recently uncovered vowels in sperm whale vocalizations. 
This study is the first to show that whales shift how they use these vowels in response to their environment when shipping noise is present,” Project CETI’s Linguistics Lead Gašper Beguš from the University of California, Berkeley added in a statement. 
“This may be a glimpse that the complex features of sperm whale codas potentially convey information about what’s happening in the world around them.” 
A team of ‘baby whales’ 
The results also show that certain coda features, particularly the ones that are related to rhythm and click timing, are the strongest way to predict that a vessel is present. 
Human-made noise is intersecting with and influencing whale communication in other parts of the world, and may reflect stress-related behavior. 
Long-finned pilot whales ( Globicephala melas ) in the busy Strait of Gibraltar have to reach the upper limits of their vocal range , and are essentially shouting at each other over shipping traffic. 
Boat noise is also forcing humpback whale ( Megaptera novaeangliae ) mothers and their calves to dive to deeper, more dangerous water . 
While Dominica is not currently on a major shipping route, global shipping in general has increased 300 percent in only 30 years . 
With more scientific eavesdropping on sperm whales, the team at Project CETI hopes to translate whale language to the best of our ability and use how humans impact it to help inform conservation policies. 
Learning a new language is also pretty fun. 
“We see ourselves more as baby whales. 
We now have an understanding of the fundamentals of the alphabet and the vowels,” says Gruber. 
“So in one sense, we’re imagining that we are two-year-old whales now, and as we go further in the project, we’ll be a three year old, and a four-year-old, as we continue to get a more complex understanding of their language.” 
It’s an understanding that may help save one of the planet’s biggest animals. 
The post Sperm whales change how they communicate when ships are nearby appeared first on Popular Science . 
Article reasoning-pattern comparisonThis article: 9.6%Laura Baisas: 1.5%Popular Science: 1.8%Confirmation Bias9.6%This article: 0.0%Laura Baisas: 0.6%Popular Science: 0.7%Anchoring Bias0.0%This article: 5.2%Laura Baisas: 2.1%Popular Science: 2.4%Availability Heuristic5.2%This article: 9.8%Laura Baisas: 1.5%Popular Science: 1.0%Representativeness Heuristic9.8%This article: 0.0%Laura Baisas: 0.1%Popular Science: 0.5%Hindsight Bias0.0%This article: 14.5%Laura Baisas: 1.9%Popular Science: 2.5%Overconfidence Bias14.5%This article: 1.7%Laura Baisas: 2.2%Popular Science: 3.0%Framing Effect1.7%This article: 0.0%Laura Baisas: 0.5%Popular Science: 0.4%Loss Aversion0.0%This article: 0.0%Laura Baisas: 0.5%Popular Science: 0.6%Status Quo Bias0.0%This article: 2.6%Laura Baisas: 0.1%Popular Science: 0.1%Sunk Cost Effect2.6%This article: 13.7%Laura Baisas: 2.7%Popular Science: 3.9%Optimism Bias13.7%This article: 0.0%Laura Baisas: 0.4%Popular Science: 0.6%Pessimism Bias0.0%This article: 4.4%Laura Baisas: 2.8%Popular Science: 2.6%Negativity Bias4.4%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.5%Self-Serving Bias0.0%This article: 0.0%Laura Baisas: 0.6%Popular Science: 0.3%Fundamental Attribution Error0.0%This article: 0.0%Laura Baisas: 0.1%Popular Science: 0.0%Actor-Observer Bias0.0%This article: 0.0%Laura Baisas: 0.1%Popular Science: 0.3%In-Group Bias0.0%This article: 0.0%Laura Baisas: 0.1%Popular Science: 0.2%Out-Group Homogeneity Bias0.0%This article: 0.9%Laura Baisas: 1.0%Popular Science: 1.7%Halo Effect0.9%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Horn Effect0.0%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Laura Baisas: 0.4%Popular Science: 0.8%Recency Bias0.0%This article: 0.0%Laura Baisas: 0.3%Popular Science: 0.3%Primacy Effect0.0%This article: 0.0%Laura Baisas: 0.1%Popular Science: 0.1%Blind-Spot Bias0.0%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Ad Hominem0.0%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.1%Straw Man0.0%This article: 8.2%Laura Baisas: 2.9%Popular Science: 3.4%Appeal to Authority8.2%This article: 0.0%Laura Baisas: 0.4%Popular Science: 0.6%False Dilemma0.0%This article: 5.0%Laura Baisas: 0.2%Popular Science: 0.2%Slippery Slope5.0%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.1%Circular Reasoning0.0%This article: 7.2%Laura Baisas: 2.4%Popular Science: 3.5%Hasty Generalization7.2%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Red Herring0.0%This article: 0.0%Laura Baisas: 0.9%Popular Science: 0.5%Bandwagon0.0%This article: 8.6%Laura Baisas: 2.4%Popular Science: 2.6%Appeal to Emotion8.6%This article: 2.9%Laura Baisas: 0.3%Popular Science: 0.5%Begging the Question2.9%This article: 10.6%Laura Baisas: 1.6%Popular Science: 2.1%Post Hoc (False Cause)10.6%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Tu Quoque0.0%This article: 4.4%Laura Baisas: 0.3%Popular Science: 0.4%Burden of Proof4.4%This article: 0.0%Laura Baisas: 0.2%Popular Science: 0.4%Appeal to Nature0.0%This article: 2.8%Laura Baisas: 0.5%Popular Science: 0.4%Composition/Division2.8%This article: 6.6%Laura Baisas: 1.1%Popular Science: 1.8%Anecdotal6.6%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%No True Scotsman0.0%This article: 9.8%Laura Baisas: 1.8%Popular Science: 1.6%Ambiguity (Equivocation)9.8%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Laura Baisas: 0.1%Popular Science: 0.1%Middle Ground0.0%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Personal Incredulity0.0%This article: 0.0%Laura Baisas: 0.1%Popular Science: 0.2%Special Pleading0.0%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.1%Genetic Fallacy0.0%This article: 3.6%Laura Baisas: 1.0%Popular Science: 1.4%Unattributed Quote3.6%This article: 0.0%Laura Baisas: 0.7%Popular Science: 0.7%Quote-first Misdirection0.0%This article: 6.5%Laura Baisas: 2.5%Popular Science: 3.8%Biased Writer Voice6.5%This article: 4.2%Laura Baisas: 1.3%Popular Science: 1.1%Indoctrination4.2%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Politically Left Leaning Bias0.0%This article: 0.0%Laura Baisas: 0.0%Popular Science: 0.0%Politically Right Leaning Bias0.0%This article: 0.0%Laura Baisas: 1.8%Popular Science: 2.2%Attempt to Sell a Product or S…0.0%

815 words analyzed.

Speakers

2speakers42%attributed speech475writer words
Selected voice

Gašper Beguš

100%flagged-word coverage
65 attributed words19% of attributed speech73% writer coverage
0%5.0%10.0%Biased Writer Voice-7.8 ptsWriter: 7.8%Gašper Beguš: 0.0%0.0%Indoctrination-7.2 ptsWriter: 7.2%Gašper Beguš: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

Loading…
Loading…
Loading…
Loading…

Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.