NEWSAR
Multi-perspective news intelligence
SRCThe Guardian - World News
LANGEN
LEANCenter-Left
WORDS573
ENT5
SUN · 2026-04-05 · 15:00 GMTBRIEF NSR-2026-0405-53594
News/They’re in clouds, electric sockets and even on toast. Why d…
NSR-2026-0405-53594News Report·EN·Human Interest

They’re in clouds, electric sockets and even on toast. Why do humans see faces in everyday objects?

Face pareidolia, the phenomenon of seeing faces in inanimate objects, is a common occurrence due to the human brain's predisposition to detect facial features. A recent study published in Royal Society Open Science investigated this by showing participants everyday objects and abstract images of visual noise.

Donna LuThe Guardian - World NewsFiled 2026-04-05 · 15:00 GMTLean · Center-LeftRead · 3 min
They’re in clouds, electric sockets and even on toast. Why do humans see faces in everyday objects?
The Guardian - World NewsFIG 01
Reading time
3min
Word count
573words
Sources cited
3cited
Entities identified
5entities
Quality score
100%
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Briefing Summary

AI-generated
NEWSAR · AI

Face pareidolia, the phenomenon of seeing faces in inanimate objects, is a common occurrence due to the human brain's predisposition to detect facial features. A recent study published in Royal Society Open Science investigated this by showing participants everyday objects and abstract images of visual noise. The study found that participants frequently saw faces in both, especially when the images were vertically symmetrical. Faces perceived in objects were often seen as young, male, and happy, while those in visual noise were more likely perceived as older and angrier. Researchers suggest this could be due to the brain's tendency to identify threats in unfamiliar environments. A second experiment confirmed that symmetrical patterns of visual noise were more likely to elicit face pareidolia than random patterns.

Confidence 0.90Sources 3Claims 5Entities 5
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Article analysis

Model · rule-based
Framing
Human Interest
Technology
Tone
Measured
AI-assessed
CalmNeutralAlarmist
Factuality
0.80 / 1.00
Factual
LowHigh
Sources cited
3
Well sourced
FewMany
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Key claims

5 extracted
01

Participants saw faces more often in vertically symmetrical patterns than random patterns.

factualSpehar
Confidence
1.00
02

90% of participants reported seeing a face in at least one of the noise images.

statisticStudy published in the journal Royal Society Open Science
Confidence
1.00
03

Seeing faces in inanimate objects or patterns of light and shadow is a common phenomenon known as face pareidolia.

factual
Confidence
1.00
04

One of the most highly adapted things we do with our visual system is detect the presence of faces.

quoteAlais
Confidence
0.90
05

People tend to see pareidolia images as male and young and happy.

quoteProf David Alais, a psychologist and neuroscientist at the University of Sydney
Confidence
0.90
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Full report

3 min read · 573 words
Faces: we see them in clouds, electrical outlets and even a $28,000 toasted sandwich said to look like the Virgin Mary.Known as face pareidolia, seeing faces in inanimate objects or patterns of light and shadow is a common phenomenon.So primed are our brains to detect facial features that we even see faces in meaningless visual noise, especially when the images are symmetrical, new research suggests.In a study published in the journal Royal Society Open Science, researchers showed participants everyday objects that resembled faces, as well as abstract images of visual noise that had no inherent meaning.The vast majority of participants – 90% – reported seeing a face in at least one of the noise images.Study co-author Prof Branka Spehar of the University of New South Wales said researchers wanted to investigate whether images more minimal than objects with face-like features, with “two round things which could be eyes … and a horizontal thing which could be a mouth”, would elicit similar visual responses.People saw faces more frequently in the images of objects (96.7% of images) than visual noise (53.4%).People see faces even in images of visual noise, particularly when they are vertically symmetrical. Photograph: Branka Spehar/UNSWStudy participants were more likely to perceive the faces in both the objects and visual noise as male – a finding that backs up previous studies on face pareidolia. The reason for this gender bias was unclear, Spehar said.“People tend to see pareidolia images as male and young and happy,” said Prof David Alais, a psychologist and neuroscientist at the University of Sydney, who was not involved in the research. “The most striking pareidolia images have these … open, wide-eyed expressions that maybe make you think of youthful enthusiasm, or babies.”However, the faces perceived in artificial noise were more likely to be seen as older and angrier, while the object faces were more likely to be seen as happy or surprised.The reasons for this were still unknown, Spehar said, suggesting that perhaps our brains are primed to identify threats in unfamiliar environments.Faces in objects are often perceived as young, male and happy. Photograph: PhotoAlto/Laurence Mouton/Getty ImagesIn a second experiment, the researchers showed short clips of moving noise in both random and vertically symmetrical patterns. Participants saw faces more often in the clips that were symmetrical (65.8% of clips) than the random patterns (23.6%).People were more likely to identify faces in vertically symmetrical visual noise Participants reported seeing various images – such as dragons and demons – in the random noise. “Once you introduce vertical symmetry, faces predominate,” Spehar said.Asymmetric visual noise shown to study participantsAlais said pareidolia arose as a “false positive” in visual processing.“One of the most highly adapted things we do with our visual system is detect the presence of faces,” he said. “You want to detect faces as quickly as possible, in case they’re friends or foes … but you get a bit of a by-catch, you sometimes catch false faces.“The contemporary view of the brain, and how it works to generate our perceptions of the world, is that it imposes patterns and predictions on incoming input,” he said. “It does that for reasons of efficiency and speed.” Photograph: Melinda Podor/Getty ImagesHe said a brain system known as the face-selective network was geared towards detecting two eyes, a nose and a mouth. “We’re predisposed to use that sort of a template, and there’s maybe a bias to see faces in noise compared to other objects.”
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Entities

5 identified
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Keywords & salience

8 terms
face pareidolia
1.00
seeing faces in objects
0.90
visual noise
0.80
symmetrical patterns
0.70
facial features
0.60
perception
0.50
gender bias
0.40
brain
0.40
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Topic connections

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