Woman speaking into marine radio

What Women Do Better Than Men

You wouldn’t expect a marine electronics blog to have much to say about gender. But when 97% of your readers are men—as a Panbo survey famously revealed—perhaps it’s time to examine what the other 3% might be doing differently.

This isn’t about politics. It’s about physics, biology, and a rather uncomfortable truth hiding in the scientific literature.

A Man’s World

Sailing has long been a male domain. The Panbo readership survey, conducted in 2010, found that 97% of respondents were men. The comment from the editors was telling: “It’s generally boys who fall hard for trucks, boats, and gadgets… and then become mature gentlemen who care about marine electronics.”[1]

History reinforces this. Female pirates? We can count the famous ones on two hands. Anne Bonny. Mary Read. Grace O’Malley. Ching Shih. “Although the majority of pirates in history have been men, there are around a hundred known examples of female pirates, about four of whom were active in the Golden Age of Piracy.”[2] Women were considered bad luck on ships—a superstition so deeply held that “women that became sailors often had to disguise their identity and conceal their gender by dressing the same as men.”[2]

The reasons were cultural, legal, and practical. But they were not, it turns out, biological.

The Tide Is Turning

Something is changing. In the United States, “the percentage of female captains has risen from 2.16% in 2010 to 6.21% in 2021”—nearly tripling in a decade.[3] The 2024 Vendée Globe featured “six women—the most in the race’s history.”[4] The Clipper Race 2025-26 will have “female sailors make up 55% of professionals leading teams,” with “four women taking on the role of Clipper Race Skipper—the highest number that has appeared on the event’s starting line.”[5]

Iceland produced one of history’s greatest fishing captains: Þuríður formaður, a woman who “is credited with being one of the country’s greatest fishing captains, reportedly bringing in the largest catches of her contemporaries. Moreover, she did not lose a single crew member during her 60 years of fishing.”[6] Researcher Margaret Willson, investigating Icelandic maritime history, expected to find one or two notable seawomen. “We discovered dozens upon dozens of accounts of seawomen, and mentions of hundreds.”[6]

The numbers are still small. But the trajectory is unmistakable.

Up in the Air

Aviation tells a similar story. “Women pilots represent only six percent of the total pilot population”[7]—a figure that has barely budged in decades. But look closer at the data.

“Women’s representation rose from 11.9% in 2015 to 16.0% in 2024, representing a 4.1 percentage point increase. The absolute number of women student pilots increased by 278% over this period.”[7] Commercial pilots saw “52% proportional growth between 2018 and 2023, the fastest rate among all certificate categories.”[8]

The pipeline is filling. Slowly, but measurably.

But here’s where it gets interesting. There’s one aviation profession where women are surprisingly well-represented: air traffic control.

“ICAO notes that women comprise 20.6% of air traffic controllers globally and 21.4% in Europe.”[9] “The Latin America/Caribbean region featured the highest percentage of women controllers with 31.8%.”[9] In Canada and Sweden, approximately 30%.[10] This is four to five times higher than the pilot population.

Why?

Some have speculated about spatial orientation. “Men consistently outperform women on spatial tasks, including mental rotation.”[11] A University of Iowa study found that “when tested on mental rotation tasks, men averaged 66 percent correct compared to 53 percent correct for women. MRI revealed an approximately 10 percent difference between men and women in the overall amount of parietal lobe surface area.”[11]

But critically, “the well-documented sex difference in mental rotation favoring males has been shown to emerge only for 2-dimensional presentations of 3-dimensional objects, but not with actual 3-dimensional objects or with virtual reality presentations.”[12]

This doesn’t explain why women thrive in air traffic control—a job requiring constant 3D spatial tracking.

Perhaps the answer lies elsewhere. Perhaps it’s not about seeing.

Perhaps it’s about being heard.

The Science of Intelligibility

In 1996, researchers Bradlow, Torretta, and Pisoni at Indiana University conducted a landmark study on speech intelligibility. They recorded 20 talkers—10 men, 10 women—reading 100 sentences each, then measured how accurately listeners could transcribe them.

The results were unambiguous.

“Female talkers significantly outperformed males: Female group: 89.5% correct transcription (SD = 2.0%); Male group: 86.2% correct transcription (SD = 3.2%). Statistical significance: t(18) = 2.72, p = 0.01.”[13]

More striking: “The four talkers with the highest overall intelligibility scores were female and the four talkers with the lowest overall intelligibility scores were male.”[13]

This wasn’t a fluke. A 2018 study at Utah State University replicated the finding in noise: “Female talkers were more intelligible than male talkers, with females averaging 66.6% words correct versus males at 50.8%—a 15.8 percentage point difference.”[14]

Kwon (2010) found that “women showed significantly higher speech intelligibility scores than men” when rated by trained speech pathologists (p = .046), with “significant differences between men and women in most acoustic parameters.”[15]

Markham and Hazan (2004) “found females to be more intelligible when listeners were presented with monosyllables in background noise.”[16]

The pattern holds across methodologies: “Findings revealed that, regardless of methodology, the spoken productions of female talkers were overall more intelligible than the spoken productions of male talkers.”[14]

Why?

The reasons are acoustic and articulatory.

Wider fundamental frequency range: “The acoustic data reveals that females, on average, displayed greater pitch variation and range than males. Studies have shown that pitch variation and range contribute to speech intelligibility both in quiet and in noise.”[14] Females averaged 175 Hz F0 range versus 103 Hz for males (p < 0.001).[13]

Expanded vowel space: “Talkers with larger vowel spaces were generally more intelligible than talkers with reduced spaces.”[13] Research found that “vowel space area is strongly predictive of vocal attractiveness ratings, accounting for a remarkable 73% of the variance in ratings. But these results were true only for female talkers.”[17]

More precise articulation: “Consonants were proportionally longer in words produced by female speakers than by men. Since consonants are likely to be more important than vowels in oral word recognition, these results could be linked to female speakers’ tendency to produce ‘clearer’ speech.”[18]

Less reduction: Byrd (1994) found that “male speech was characterized by a greater prevalence of phonological reduction phenomena, such as vowel centralization, alveolar flapping, and reduced frequency of stop releases.”[13] Or as researchers summarized: “Mumbling is macho.”[17]

When high-pass filtering removes low frequencies—simulating radio or noisy environments—“the female advantage was apparent, with the largest difference occurring at HP-1973 Hz, where females exceeded males by approximately 23 percentage points.”[18]

The male voice, with its low-frequency authority—the voice that can intimidate a competitor, command a boardroom, scare a lion—is, objectively, harder to understand.

There is no scientific data to support this, but some have long argued that women talk more than men. Perhaps they do. And now we know why: when every word you speak is more likely to be understood, talking more is not a flaw—it’s justified by the superior efficiency.

The Technology Bias

For most of the 20th century, this biological reality collided with technological bias.

In 1927, J.C. Steinberg at Bell Laboratories demonstrated that “the voiceband frequencies reduced the intelligibility of female speech by cutting out the higher frequency components necessary for the perception of certain consonants.”[19]

“Capping a signal at three thousand four hundred hertz didn’t significantly impact intelligibility for many men, but it certainly did so for most women, because it removed a significant portion of the sonic information critical for consonant identification.”[19]

Women’s consonants sit at 5,000-7,000 Hz—and “the equipment at the time simply couldn’t pick those up.”[19] The result: women sounded “shrill” not because of their voices, but because technology was designed for male voices.

This bias persists. YouTube’s auto-captions achieve “47% correct for women versus 60% for men.”[20]

Bitching Betty

Fighter pilots figured out the truth in the 1950s.

When engineers at Convair developed the voice warning system for the B-58 Hustler bomber, they chose a female voice. “Engineers believed that young male pilots would instinctively pay more attention to a female voice.”[21] A higher pitch would cut through the deep rumble of jet engines and the male-dominated radio chatter.

The voice belonged to Joan Elms. Pilots called her “Sexy Sally.”

The tradition continued. Kim Crow became the first digitized voice—the original “Bitching Betty” in the F-15. “That actress, Kim Crow, recalls that after one of the test flights, the pilot was asked how everything worked; he said, ‘It was wonderful, except for that Bitching Betty.’ The name stuck.”[21] Erica Lane’s voice flies in F-16s and Apache helicopters. Sue Milne warns Eurofighter Typhoon pilots across Europe.

In 1996, the UK Defence Research Agency studied the question formally. “Pilots asked for a female voice because they believed it offered ‘greater clarity’ when delivering messages.”[22] The study concluded that “it’s the ‘greater range of urgencies due to their generally higher pitch and pitch range’ that give female voices an advantage in aircraft warning systems.”[22]

“Early human factors research in aircraft and other domains indicated that female voices were more authoritative to male pilots and crew members and were more likely to get their attention. Much of this research was based on pilot experiences, particularly in combat situations, where the pilots were being guided by female air traffic controllers. They reported being able to most easily pick out the female voice from amid the flurry of radio chatter.”[22]

The physics supports this. Male voices occupy the same frequency band as engine noise, wind, and radio interference—creating “auditory masking” where “the inability of the auditory system to separate the different tonal components tends to be worse when the conflicting frequencies (i.e., speech and noise) are similar.”[23] Female voices sit higher in the spectrum, naturally separating from the background.

The Evolutionary Irony

Here is where the data leads us.

The human ear canal—a 28mm tube—resonates at approximately 2700-3000 Hz. “Such a tube is called a quarter-wavelength resonator; at about 2700-3000 Hz, this tube has about 17-22 dB gain.”[24] This is precisely where female voices shine.

“Human fetuses tend to show increased sensitivity to low-frequency sounds, making them more receptive to such sounds than to higher-frequency ones”—but they recognize their mother’s voice before birth.[25] “The mother’s voice has special meaning for newborn babies, as they tend to pay more attention to it than to foreign voices.”[25]

Research shows that “exposure to recordings of the maternal voice during NICU stays leads to increased volume of primary auditory cortex at term.”[26] The auditory cortex literally grows in response to a woman’s voice.

“Infants showed enhanced brain activation, specifically in prefrontal cortex involved in emotion and reward, evoked selectively by infant-directed speech produced by female voices.”[27]

Evolution spent millions of years optimizing our ears for one voice above all others: the voice that kept us alive.

So when the scientific literature tells us that female speech is objectively more intelligible—perhaps we shouldn’t be surprised. Perhaps the human ear was simply designed to listen to women. Specifically, to mothers.

The voice that fed us. The voice that warned us. The voice that, for the first years of our existence, meant the difference between life and death.

Back to the Bridge

Which brings us to ships.

Modern ship bridges are cacophonies of alerts. GPS failures, radar warnings, AIS alarms, depth alerts, engine notifications—each piece of equipment screaming for attention with its own beep, buzz, or chime.

“The ship’s bridge is often inundated with several audible and visual notifications. The present auditory signals only carry a limited amount of information, while visual cues require the navigator to be near to the source.”[28]

“Walking around the bridge to look at a screen to acknowledge or mute an alert may be hazardous while navigating or doing other critical duties.”[28]

In 2022, researchers at the Norwegian University of Science and Technology tested a simple intervention: adding voice instructions to bridge alerts. Instead of just beeping, the system would announce what was wrong and where.

The study, conducted in a Kongsberg ship bridge simulator with 12 nautical students (minimum 2 years ship experience), compared traditional beeping alerts against voice-augmented alerts during a challenging navigation scenario in highly trafficked narrow waters.[28]

The results were dramatic.

Alert Voice Beep Only Improvement
GPS lost 8.4 sec 32.5 sec 74% faster
Log failure 9.5 sec 27.5 sec 65% faster
Radar lost 7.5 sec 12.5 sec 40% faster

“With traditional alert designs, all users moved around the ship’s bridge to locate the actual source of the alert. All test participants reported that they did not know what the underlying problem was until they discovered its cause on the screens.”[28]

“All test subjects said that the alerts with voice commands enabled rapid identification of the alert’s cause, allowing the user to focus on the issue at hand rather than spending time searching for the cause first. Further, with voice commands, they could recognize the alerts without any prior training.”[28]

The conclusion: “Alerts with voice instructions were easier to learn and understand, and they made it faster and easier to locate the equipment that caused the alert, thus allowing the crew to direct more attention to navigational procedures.”[28]

Voice works. And if female voices are more intelligible than male voices—by 3.3 percentage points in quiet, 15.8 points in noise, and up to 23 points through filtered radio—then the optimal voice for maritime safety is clear.

1-0 for women.

Or is it?

Perhaps this is, in a sense, a merit of men. After all, it was the male ear—tuned by millions of years of evolution to detect the voice of the woman who kept him alive—that made female speech so effective in the first place.

Men built ears designed to listen to women. That’s not a flaw. That’s a feature.

The question is whether we’re willing to use it.

The next time an alert sounds on your boat—the depth alarm, the anchor drag warning, the collision alert—consider who’s speaking. A beep conveys urgency but not meaning. A male voice may project authority but sacrifice clarity. A female voice, science suggests, will cut through the noise and be understood.

Evolution figured this out long ago. Perhaps it’s time we caught up.


References

[1] Panbo (2010), “Panbo at five, fun with demographics

[2] Royal Museums Greenwich, “Were there female pirates?

[3] SkipperCity, “The Rise of Female Yacht Captains: Changing Demographics in Charter Industry

[4] National Geographic, “Meet the fearless women sailors taking on the ‘Everest of the seas’

[5] Clipper Round The World Race, “Female sailors make up 55% of professionals leading teams on upcoming Clipper Race

[6] Maritime Executive, “Seawomen of Iceland

[7] Pilot Institute, “Women Pilot Statistics: Female Representation in Aviation

[8] IATA (2024), “Gender in Aviation

[9] ICAO/Atlas Network, “ICAO releases new data on status of global aviation gender equality

[10] Zippia, “Air Traffic Controller Demographics and Statistics

[11] ScienceDaily, “Sex Difference On Spatial Skill Test Linked To Brain Structure

[12] PMC, “Gender Differences in Large-Scale and Small-Scale Spatial Ability: A Systematic Review

[13] Bradlow, A.R., Torretta, G.M., & Pisoni, D.B. (1996), “Intelligibility of normal speech I: Global and fine-grained acoustic-phonetic talker characteristics,” Speech Communication, 20(3-4), 255-272. PMC3066472

[14] Attention, Perception, & Psychophysics (2018), “Are there sex effects for speech intelligibility in American English?

[15] Kwon, S.B. (2010), “Gender difference in speech intelligibility using speech intelligibility tests and acoustic analyses,” Phonetics and Speech Sciences. PMC2994697

[16] Hazan, V. & Markham, D. (2004), “Acoustic-phonetic correlates of talker intelligibility for adults and children,” Journal of the Acoustical Society of America, 116, 3108-3118

[17] ScienceDaily, “Voices of reason? Study links acoustic correlations, gender to vocal appeal

[18] PMC, “Dialect and gender perception in relation to the intelligibility of low-pass and high-pass filtered spontaneous speech

[19] WNYC Studios, “How Radio Makes Female Voices Sound Shrill,” On the Media

[20] Making Noise and Hearing Things, “Google’s speech recognition has a gender bias

[21] War History Online, “‘Sexy Sally’ And The History Of Female Voices Used In The Military’s Aircraft Warning Systems

[22] Snopes, “The Facts About Male or Female Voices Being Better for Aircraft Warning Systems

[23] SKYbrary, “Physiological Aspects of Communications

[24] HyperPhysics, “Maximum Sensitivity Region of Human Hearing

[25] PMC, “Prenatal auditory experience and its sequelae

[26] PNAS, “Mother’s voice and heartbeat sounds elicit auditory plasticity in the human brain before full gestation

[27] ScienceDirect, “fNIRS reveals enhanced brain activation to female (versus male) infant directed speech

[28] Petermann, F.M., Liavaag, M., Solberg, J.K.S., Alsos, O.A., & Petersen, E.S. (2022), “Increasing the Usability of Audio Alerts with Voice Instructions on Ship’s Bridges,” Human Error, Reliability, Resilience, and Performance, Vol. 33, 16-21. DOI: 10.54941/ahfe1001563

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