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Why do some people feel life is so unfair? Understanding this may help explain conspiracy beliefs

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Most people set out in life wanting to believe the world is fair. They expect people to wait their turn in queues, to be treated equally in their job, and to be rewarded for hard work. These expectations influence how they understand the world around them, and shape their responses to it.

But what happens when life repeatedly challenges those assumptions? Psychologists have long been interested in this question. Our new research, published in the British Journal of Psychology, suggests adverse experiences shape both how fair people believe the world is, and how they view their place in society.

Over the course of a lifetime, personal setbacks – from illness and bereavement to being a victim of crime – may have a cumulative effect, leading to a growing sense that the world is unfair. We think this is important in the context of today’s increasingly polarised societies, in which trust in institutions has declined severely in the UK and many other countries.

Video: TEDxTalks.

Adversity and unfairness

Our research set out to answer two key questions: do experiences of adversity influence whether people see the world as fundamentally unfair – and if so, what are the societal consequences? We conducted three surveys involving more than 1,200 British participants with an equal gender split and average age of 39.

In one study, we found that people who reported experiencing more lifetime adversity – including illness, bereavement, financial hardship and violence – were more likely to believe the world was unfair.

In another, we compared people who had experienced violent victimisation with those who had not. After accounting for demographic factors, people who had experienced violent crime reported stronger perceptions of injustice.

Our final study found that greater lifetime adversity was associated with lower trust in institutions through perceptions of injustice. This is important because trust underpins many aspects of society, from confidence in public institutions to democratic participation.

Together, these findings suggest that people don’t simply interpret information based on the facts available to them. They also interpret it through the lens of their previous experiences.

Two people can read the same news story, watch the same political debate or hear the same public health advice, yet come away with very different conclusions that may not simply reflect differences in knowledge or politics. It may also reflect differences in how they have come to see the world as a result of the hardships they have faced.

Furthermore, if someone increasingly believes that the world is unfair, they may be more likely to notice fresh examples of perceived injustice, corruption or hidden motives – and interpret new events through that lens.

Belief in conspiracy theories

Previous research has shown that people who feel uncertain, powerless or threatened are often more likely to endorse conspiracy theories. Most of this work, however, has focused on their identities, traits and beliefs.

In our investigation of the impact of adverse life experiences on people, we found a remarkably consistent pattern. When these hardships are associated with stronger perceptions of injustice in the world, the same people more strongly endorse conspiracy beliefs.

Conspiracy theories rarely describe events as random. Instead, they tend to suggest that powerful individuals or organisations are secretly responsible for what happens. They offer explanations that identify intentional causes behind events that might otherwise seem confusing or unjust.

Research suggests that across societies, the level of belief in conspiracy theories is relatively stable over time. But once these beliefs become part of how someone understands the world, they can be difficult to shift.

This makes it all the more important to understand the experiences and psychological processes that may contribute to these worldviews developing in the first place. Our findings suggest that perceptions of injustice are one such pathway.

For someone who increasingly feels the world is unfair, conspiracy theories may become more psychologically appealing – providing a way of making sense of experiences that otherwise feel difficult to understand.

Our research does not suggest that adversity inevitably leads to conspiracy beliefs; nor that conspiracy theories are an inevitable consequence of trauma. Rather, it highlights a long-term psychological process that may help explain why some people become more receptive to these ideas.

In an increasingly polarised world, the media and political focus is often concentrated on what information people consume. But our research suggests we should pay more attention to the experiences that shape the lens through which people interpret information. This could help explain why people can look at the same events and reach very different conclusions.

Ultimately, people’s experiences don’t just affect them in the moment. They shape their worldview – which can influence how they interpret and respond to events and other people’s behaviour far into the future.

So, we believe any effort to reach greater consensus in society may require a deeper understanding of the hardships people have lived through over the course of their lives – and how these can affect their sense of injustice.

The Conversation

Daniel Jolley has received funding from the Leverhulme Trust, the British Academy, and the Engineering and Physical Sciences Research Council (EPSRC). The studies mentioned in this piece were funded by the British Academy/Leverhulme Small Research Grants Scheme (SRG23/230720) and carried out in collaboration between Daniel Jolley, Laura Blackie, and research assistant Anna Maughan.

Laura Blackie has received funding from the British Academy.

Why Nvidia Is Trying To Develop The World’s Best Open-Source AI Models

11 August 2026 at 14:00

Nvidia is doubling down on its open-source efforts, pouring investment into an ambitious new in-house AI model that it hopes will drive demand for its hardware—but that could also compete with customers and partners.

Nvidia is aiming for the new model, the biggest of a family that it is calling Nemotron 4, to be on par in its performance with the best open-source AI models in the world, according to several people who work on Nemotron. The research paper detailing Nvidia’s last big model had 570 authors, and employees said Nemotron 4 would involve even more people. “Everyone just wants to be involved at this point,” one former employee said.

Figma, Canva Showing Growing Pains of AI Pivot

6 August 2026 at 23:05

Welcome back!

Software companies have been at pains to flaunt the success of their AI products, as they seek to dispel investor fears that AI apps are threatening their existence. Two reports this week show that developing popular AI products is only half the challenge. 

Canva, the design software company popular among students and business owners, warned investors this week that its annual revenue growth would slow to 20%. The reason: it was tapping the brakes on a planned AI rollout expected to drive paying subscriptions—after demand had proved higher and more expensive to serve than anticipated. 

Then on Thursday, Figma said it expects a slowdown in revenue growth for the September quarter, to 36% from 48% in June. In its case, the publicly traded design software company suggested it’s still figuring out how to generate sales from new AI tools that are still in beta, or testing phases, or early in their release. 

Common Diet Advice About Water and Spicy Food May Be Completely Wrong

23 July 2026 at 20:20
Man Hot Chili Pepper ForkWater and spice influenced eating in opposite and unexpected ways during controlled meal experiments. A glass of water beside a meal is often treated as an easy way to eat less. The usual explanation is that the water stretches the stomach and creates a sense of fullness before too much food is consumed. A Cornell [...]

Chatty cats and talking dogs could one day ‘speak’ in our language 

20 July 2026 at 11:30

In the animated movie Up, a yellow, tail-wagging dog shows up wearing an electronic collar. The main character, a curious and cheerful 8-year-old boy named Russell, tells the dog to sit. The dog sits. Russell tells the dog to shake. The dog extends a paw. Russell then tells the dog to speak.  

“Hi there,” says the dog.  

To Russell’s amazement, the dog’s collar translates his doggy thoughts into actual human words. “My master made me this collar,” Dug the dog tells his new acquaintances. “He is a good and smart master, and he made me this collar so I may talk — SQUIRREL!” 

This is a common piece of technology in stories — a translator that can decode animals’ barks, squeaks, meows, clicks and such, into human language.  

Back here in the nonfiction world, anyone with a pet has probably wondered at some point what’s going on in that cute little animal head. Scientists can’t say. But there are reasons to think that an animal-human translator won’t stay a work of science fiction forever. “I think these things may be one day doable,” says Erich Jarvis. He’s a neurogeneticist at The Rockefeller University in New York City.

One day, pets may wear little devices like Dug’s collar. Or an app on a phone might translate pet sounds into words. This neat trick could finally let you learn the answer to why your cat is staring at that empty corner of the living room.

Learning languages 

Advances in computing power, artificial intelligence (AI) and fancy tools that measure sounds promise to bring people closer to conversing with other animals. These advances could turn animal chatter into bits of information that can be decoded by humans.  

Of course, some animals can already talk to us — in our preferred languages, too. Jarvis tells the story of a parrot that left its California home. It returned years later speaking Spanish, he says.  

Such language skills are rare. Thinking up a message and making intricate vocal sounds to convey it take special mental skills and a great flexibility of body systems. These traits are present in fewer than 1 percent of vertebrate species, says Michael Long. He’s a neuroscientist at New York University in New York City.  

Not all animals may be good conversationalists. Take vervet monkeys. “Their cognitive abilities are huge,” Long says. But they flounder when it comes to producing complex sounds. “So they have one of those requirements, but they need to get the other one,” Long says.  

And with rare exceptions, none really speak our language. But that gap can be overcome. It may just take a slight shift in what we consider talking. “Animals are speaking, often — to use speaking in a very loose way — more vibrantly than we had ever given them credit for,” Long says. 

A video still from the movie Up shows Carl, an older adult man, sitting on a porch with the golden retriever, Dug.
In the Pixar movie Up, a golden retriever named Dug wears a collar that translates his thoughts to speech. Dug’s collar translates all of his thoughts, even mid-sentence distractions like “SQUIRREL!”ALBUM/ALAMY

Understanding animals 

Like parrots, dolphins and whales may similarly make good conversation partners with people. In 2023, scientists used a decoded whale “hello” to enjoy a short conversation with an Alaskan humpback. This exchange consisted of a volley of whale whups, translated into English as “hello.” Still, both parties engaged in this interspecies chat. 

Another group of researchers has since discovered that whale language shares statistical properties with those spoken by humans. With these sorts of advances, perhaps we’ll soon be swapping krill recipes.

Some of Jarvis’ research includes mice that have been genetically changed to produce more complex sounds. He is part of a team that’s closely examining key genes that are active in good vocal learners. Mice with a human version of a protein called NOVA1, for instance, made more complex vocalizations. To be clear, this is not yet a talking mouse. But the research is moving fast.

Some animal messages are clear even without a fancy sci-fi gadget. “Animals are broadly expressive,” Long points out. Anguished yowls of a cat sitting by her unfilled food dish are no great mystery.  

Messages don’t even require a vocal tract. Mongolian gerbils, for instance, beat out messages by thumping the ground percussively. Dances, posture, color and even objects can all carry messages. Just think about it: You can probably figure out the message when a dog holds his leash in his mouth and sits by the front door. 

So while we wait for a gizmo that translates our pets’ thoughts into words, consider the wildly variable ways animals already communicate. Long’s formerly stray Brooklyn cats, for instance, have plenty to say. Their needs and wants are “very, very transparent,” he says.

Should a cat-human translator ever exist, Long’s message to one of his cats would be short, sweet and practical: “I would tell him not to sit too close to the stove when I’m cooking. I think that’s it.”  

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