It’s a myth that baby boys are less social than girls – a new look at decades of research shows all babies are born to connect

Source: The Conversation – USA – By Lise Eliot, Professor of Neuroscience, Rosalind Franklin University of Medicine and Science

Girls and boys are equally social at birth.

This finding, based on my team’s synthesis of six decades of research, may come as a surprise. Gender differences in adults’ social sensitivity are famous. Women outperform men at recognizing faces and emotions, and they score modestly higher on measures of empathy. They are likelier to take jobs working with people, such as in teaching and health care, whereas men are likelier to choose jobs working with “things,” such as in engineering or plumbing.

But how early do these differences emerge, and are they a matter of evolution or social learning? For years, some theorists have argued the former: that the difference is innate, built into the brain hardware of girls and boys through Darwinian selection. But this perspective relies almost exclusively on just one high-profile, yet deeply flawed, study of 102 newborns.

Mining the neonatal research trove

Realizing that psychologists have been studying newborns’ social orientation for decades, my team of neurobehavioral researchers and I set out to collect all the data – every published study that has compared boys’ and girls’ attention to social stimuli in the first month of life. Our goal was to better test the hypothesis of an inborn gender difference in attention to, or interest in, other people.

Our study was a systematic review, meaning we searched through every published report indexed in both medical and psychological databases from the 1960s onward.

We cast a wide net, looking for any research that measured newborns’ attention to or preference for human faces or voices and that reported the data separately by gender. Importantly, we did not limit our search to the terms “gender difference” or “sex difference,” since these would bias the collection by potentially excluding studies that failed to find boy-girl differences.

As expected, we unearthed dozens of studies comparing newborn boys and girls on social perception: 40 experiments reported in 31 peer-reviewed studies and involving nearly 2,000 infants. The majority of studies measured the amount of time newborns spent looking at faces, either at a single face or comparing a baby’s preference between two faces of differing social value, such as their own mother versus a woman who was a stranger.

Our data collection was large enough that we were able to carry out meta-analysis, which is a statistical method for combining the results of many studies. Meta-analysis essentially turns many small studies into a single large one. For studies measuring neonates’ looking time at faces, this included 667 infants, half of them boys and half of them girls.

a blue and a red distribution curve overlap almost completely making it look mostly purple
Newborn boys and girls are similarly attentive to faces, with the distribution of time they spend looking almost completely overlapping.
Data from Karson et al. plotted using tool at sexdifference.org.

The result was clear: nearly identical social perception between baby boys and girls. There was no significant difference between genders overall, nor was there a difference when we focused only on studies measuring babies’ gaze duration on a single face, or only on studies measuring babies’ gaze preference between two different faces.

Our search also netted two other types of studies. One focused on a remarkable behavior: newborns’ tendency to start crying when they hear another baby cry. An early study found this “contagious crying” to be marginally more common in girls. But when we performed meta-analysis on data across nine contagious-crying experiments, including 387 infants, there was again no solid evidence for male-female difference.

The last dataset we analyzed compared babies’ orientation to both social and inanimate objects using a newborn behavior assessment scale developed by legendary pediatrician T. Berry Brazelton. Across four studies involving 619 infants, girls did pay somewhat greater attention to the social stimuli (a human face or voice), but they also paid more attention to the inanimate stimuli (a ball or the sound of a rattle).

In other words, girls in this test seemed a bit more attuned to every type of stimulus, perhaps due to a general maturity advantage that they hold from fetal development through puberty. But there was nothing special about their interest in people, according to the Brazelton assessment.

Boys, too, prefer faces

Our findings align with other well-designed studies, including one finding that 5-month-old boys and girls equally prefer looking at faces over toy cars or other objects, and another finding that 2-month-old boys actually perform better than girls at detecting faces. So taken together, current research dispels a common myth that girls are innately “hardwired” to be more social than boys in early life.

The truth is that all babies are wired for social engagement at birth. Boys and girls are both primed to pay attention to human faces and voices, which, after all, belong to those who will keep them fed, safe and comforted.

Despite their best intentions, most parents cannot help but stereotype their infants by gender and begin treating boys and girls differently early on. Presuming that sons are already less social is not a recipe for remedying this bias. Our research can help dispel this myth, giving every child, male or female, the best possible start for connecting with and caring about other people.

The Conversation

Lise Eliot receives research funding from the Fred B. Snite Foundation.

ref. It’s a myth that baby boys are less social than girls – a new look at decades of research shows all babies are born to connect – https://theconversation.com/its-a-myth-that-baby-boys-are-less-social-than-girls-a-new-look-at-decades-of-research-shows-all-babies-are-born-to-connect-277453

Is the science that we do today truth, likely to be a lie, or is it undetermined?

Source: The Conversation – USA – By Greg Eghigian, Professor of History, Penn State

Science is what scientists do – it’s an activity and a process, not a single thing. Solskin/DigitalVision via Getty Images

Curious Kids is a series for children of all ages. If you have a question you’d like an expert to answer, send it to CuriousKidsUS@theconversation.com.


Is the science that we do today truth, likely to be a lie, or is it undetermined? – Nathaniel K., age 15, Hamilton, Ohio


For most students, science is something you study and something you have to learn. I remember when I was in school, adults were always asking me things like “Do you like math?” and “Do you like science?” It’s almost like asking someone if they like spinach or broccoli.

In reality, science is not really a specific thing to like or hate, or something to believe in or not. Science is an activity. As one famous scientist put it, “Science is what scientists do.” It’s a way of working, a way to get things done.

So, then, what is it that scientists do? As a historian of science and medicine, I’ve studied how scientists try to understand the rules that govern things in the universe. For example, what makes the Moon orbit the Earth? How do clouds produce rain? How do people catch a cold? To answer questions like these, they do three things: They observe, they experiment and they analyze.

The process of science

All scientists carefully observe the subjects they are studying. Take the case of Charles Darwin and his theory of evolution by natural selection. Darwin traveled the world collecting specimens of plants, animals and fossils to figure out how they came by their different features.

He soon came up with an idea: Maybe certain species in an area look the way they do because they have characteristics that are best adapted to the environment they live in, and they are passing these on to their offspring. Darwin kept testing out this idea everywhere he went, and in the end his theory seemed to work. Ever since, scientists have conducted countless studies that affirm his theory.

Many scientists take observation a step further by performing experiments. In an experiment, the scientist might use a laboratory and special instruments to modify something they’re studying and look at the effects of the change. Their aim is either to test a theory or to see whether certain changes occur regularly.

A good example of this process can be seen in the experiments conducted by Ivan Pavlov in the 1890s with dogs. By introducing a sound right before a dog would be fed, Pavlov found the dog would start reacting to the sound the very same way it reacted to a bowl of food. For Pavlov, this demonstrated that animals learned through a process of association, or “conditioning.”

A diagram labeled 'scientific method' showing how it starts with observation, then research in the topic, then a hypothesis, then an experiment, then analysis, and finally reporting conclusions.
Scientists make observations and may conduct experiments to test their idea. They then analyze their data and show it to their peers. Future experiments may agree with their results or disprove them. Through this iterative process, scientists gather evidence and get closer to the truth.
Efbrazil/Wikimedia Commons, CC BY-SA

Finally, scientists are constantly analyzing the results of their observations and experiments. Scientists use measurements, logic and math to consider what their findings mean. But it’s often not clear what the findings mean, and so the investigators end up having to make more observations, conduct more experiments and rethink their methods and guesses.

Reporting the findings

The analysis process doesn’t stop there. Scientists show the results of their work to others, who, in turn, are invited to weigh in on whether they did a good job answering their research question. The criticism can be pretty intense at times. In most cases, this practice includes telling other scientists who work in the same field about what they did and what they found by giving presentations at conferences.

Scientists also have to submit their work for more evaluation if they hope to get money to support their research. After that, they go through even more evaluation when they try to publish the findings of their research in professional magazines called journals.

In both cases, scientists undergo a process called peer review, during which other scientists who study similar topics are asked to basically grade the quality of the researcher’s work and provide both negative and positive feedback.

During peer review, researchers review a submitted paper in their field to determine whether the study was done well and whether the results are convincing.

If reviewers decide the study is not good enough, the researcher won’t get funding or their study published.

Is science truth?

The work of a scientist isn’t just observing something out in the world. Scientists must invite other experts to weigh in on what is right and wrong about their methods and ideas. As a result, every scientist has to be ready to rethink what they have been doing and believing.

Through this process, scientists work at getting closer and closer to the truth. New observations and new experiments may support or disprove earlier ones, or they might open up a whole new set of questions to answer.

The scientific results of today aren’t the whole truth, but they are the closest we can come to it right now. And as scientists today and in the future keep working, they seek to bring the whole truth more and more into focus.

When you see science as something people do to reach the truth, you realize it’s a way of working, whose strength comes from scientists being open to changing their approaches and conclusions.


Hello, curious kids! Do you have a question you’d like an expert to answer? Ask an adult to send your question to CuriousKidsUS@theconversation.com. Please tell us your name, age and the city where you live.

And since curiosity has no age limit – adults, let us know what you’re wondering, too. We won’t be able to answer every question, but we will do our best.

The Conversation

Greg Eghigian does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

ref. Is the science that we do today truth, likely to be a lie, or is it undetermined? – https://theconversation.com/is-the-science-that-we-do-today-truth-likely-to-be-a-lie-or-is-it-undetermined-278947

Most people do not realize when a personal message they receive was written by AI, study finds

Source: The Conversation – USA – By Andras Molnar, Assistant Professor of Psychology, University of Michigan

People tend to be offended when they get a personal note written by AI – if they know. Ekaterina Buravleva/iStock via Getty Images

Two new experiments show that most people do not even consider that a personal message could be AI-generated, even when they themselves use artificial intelligence to write.

To see how people judge someone based on their writing in the age of ChatGPT, my colleague Jiaqi Zhu and I recruited more than 1,300 U.S.-based participants, ages 18 to 84, and showed them AI-generated messages like an apology sent in an email. We split our volunteers into four groups: Some people saw the messages with no information about who or what wrote them, as in everyday life. Others were told the messages were definitely written by a human, definitely AI-generated, or that the source could be either.

A text message presenting an apology generated by AI.
An AI-generated fictional apology sent via text was one of the messages participants evaluated in a recent study.
Zhu & Molnar (2026)

We found a clear “AI disclosure penalty.” When people knew a message was AI-generated, they rated the sender much more negatively – “lazy,” “insincere,” “lack of effort” – than when they believed that the same text was written by a person – “genuine,” “grateful,” “thoughtful.”

But here is the twist: The participants who were not told anything about authorship formed impressions that were just as positive as those from people who were told the messages were genuinely human.

This complete lack of skepticism surprised us – and it raises new questions. Maybe participants were not familiar enough with AI to realize that today’s models can produce detailed and personal messages. (They can.) Or perhaps participants have never used AI themselves. (They likely have.) So we also tested whether participants’ own AI use changed how they judged senders.

To our even bigger surprise, we found little to no effect. People who use generative AI quite frequently in their daily lives – at least every other day – did penalize AI use slightly less when AI authorship was disclosed, compared with people who never or rarely use AI. But participants were no more skeptical by default: When authorship was not disclosed, heavy AI users, light AI users and nonusers all tended to assume the text was written by a person and formed essentially the same impressions.

A word cloud showing words that describe how people reading text messages felt.
Word clouds depict participants’ first impressions of senders who wrote messages themselves, left, and those who used AI, right.
Andras Molnar

Why it matters

Lack of skepticism and a lack of negative impressions matter because people make social judgments from text all the time. Recipients consider taking the time and effort to send written messages as an insight into the writer’s sincerity, authenticity or competence, and those impressions shape people’s decisions in friendships, dating and work.

Yet our main findings reveal a striking disconnect: People usually do not suspect AI use unless it is obvious. This unawareness creates a moral dilemma: People who use AI in secret can enjoy the benefits while facing almost no risk of detection. Meanwhile, paradoxically, people who are upfront and admit to using AI suffer a reputational hit.

Over time, lack of skepticism and awareness could reshape what writing means in everyday life. Readers might learn to treat writing as a less reliable signal of someone’s character or effort, and instead rely on other forms of communication. For example, widespread AI use has already prompted employers to discount the value of cover letters from job applicants. Instead, they are relying more on personal recommendations from an applicant’s current supervisor or connections made through in-person networking.

What other research is being done

Other researchers have documented a wide range of negative impressions about people who disclose their AI use. Studies show it makes job applicants seem less desirable and employees seem less competent. Readers of creative writing perceive AI users as less creative and inauthentic. People see personal apologies and corporate apologies that stem from AI as less effective. In general, disclosing AI use decreases trust and undermines legitimacy.

Yet without disclosure, there is clear evidence that most people cannot reliably detect AI-generated text, even with the help of detection tools, especially when the text is a mix of human-written and AI-generated content. Even when people feel confident about their ability to spot AI text, their confidence may be nothing more than a self-affirming illusion.

What’s next

Even though our experiments did not reveal suspicion of AI use, that doesn’t mean people never suspect it in the real world. In some settings, people may already be hypervigilant about AI. Use in academia is an obvious example. In our next studies, we want to understand when and why people naturally start to suspect AI use, and what flips the switch between trust and doubt.

Until then, if you want your personal message to be judged as heartfelt, the safest strategy may be to make a phone call, leave a voicemail or, better yet, say it in person.

The Research Brief is a short take on interesting academic work.

The Conversation

Andras Molnar does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

ref. Most people do not realize when a personal message they receive was written by AI, study finds – https://theconversation.com/most-people-do-not-realize-when-a-personal-message-they-receive-was-written-by-ai-study-finds-278874

When oil prices spike, where does the money go?

Source: The Conversation – USA (2) – By Matthew E. Oliver, Associate Professor of Economics, Georgia Institute of Technology

The oil industry is all about the Benjamins. Diy / iStock / Getty Images Plus

The market for oil is global, which is why events like the war in Iran affect oil prices – and prices of the wide range of products made from oil – literally everywhere. Federal data shows that the price at the primary crude oil hub in the U.S. was US$66 a barrel in late February 2026 – before the U.S. and Israel attacked Iran – and $101 a barrel on April 13. Similar price increases have reverberated around the globe.

As an energy economist and an international trade economist, we field a lot of questions during such episodes, because when oil prices go up, manufacturers, businesses and ultimately consumers pay more.

Some basic economics

Crude oil may be the most important commodity in the global economic system.

It’s a literal fuel for the industrial economy. It powers the engines that drive transportation and paves the roads vehicles drive on. It’s a source for plastics from which the world’s products get made and packaged, and a key ingredient at some point in almost every supply chain. Even fertilizers that boost the food supply are made from it. In short, it is difficult to imagine modern life without oil and its derivatives.

And when its supply changes, its price changes. Economists explain this using a fundamental model of our field: the supply-demand diagram. When there’s less of something to go around, competition among consumers who want it and companies that need it can drive the price up.

A schematic shows the relationship between supply, demand and pricing.
In general, when supply of a product is reduced, prices rise. As a result, even when demand remains stable, the quantity consumers buy decreases because of higher prices.
Matthew E. Oliver and Tibor Besedeš, CC BY-NC-ND

Sometimes this process can play out over time, allowing people to adjust their purchasing or activities to dampen price shocks. But when a significant source of the world’s oil is effectively blocked without much advance notice, such as when the the U.S. and Israeli attacks on Iran closed the Strait of Hormuz, prices can rise sharply in a short period of time.

A natural question many people ask when oil prices spike is: Where does all that additional money go, and who benefits from it?

Some people have written entire books dissecting all the places that money goes when it leaves consumers’ pockets. But ultimately, the bulk of the money heads in the direction of the source of the oil itself – the oil companies.

What they do with the money varies widely, depending on where in the world an oil company is operating and who owns it. What also matters is the business environment – the set of laws and regulations – in which the company operates.

An overhead view shows a heavily developed industrial area with burned buildings and smoke rising.
A satellite photo shows damage from the war at Saudi Arabia’s Ras Tanura oil refinery, which must be repaired before full operations can resume.
Satellite image (c) 2026 Vantor via Getty Images

Middle East faces danger

Oil producers in the Middle East face significant new risk because of the war in Iran, including threats to production, processing locations and shipping routes. These risks raise their costs for insurance, security and transportation.

But production costs in the region are relatively low, so higher global oil prices typically still translate into strong profits.

For a major exporter such as Saudi Arabia, the government owns and controls nearly all oil production, so high prices generally benefit the government’s finances and investments, even during a war. In Saudi Arabia, oil revenue has historically been used to fund public spending.

West Texas gets a windfall

The Permian Basin, the largest oil field in the U.S., is a long way from the Persian Gulf. When global oil prices rise because of the war in Iran, oil companies operating in West Texas effectively get a windfall gain: Prices rise more quickly than costs, at least in the short run.

The immediate effect is more income from higher prices. The money largely goes to company owners – meaning shareholders – through dividends, debt reduction, company-backed purchases of its own stock, and reinvestment in drilling and production. Over time, companies may decide to spend some of that windfall on building more production capacity or pipelines to get more oil and gas to market.

A large platform rises on a pillar out of the ocean, with a ship in the foreground.
Drilling rigs in the North Sea are still operating and shipping oil.
AP Photo/James Brooks

North Sea boosts government revenue

In the North Sea, between the island of Great Britain and Scandinavia, a mix of multinational and government-owned companies produce most of the oil.

In the U.K., private shareholders are the primary beneficiaries of higher profits from increased oil prices, though an additional tax on oil and gas companies’ profits means the government also collects a significant share of the money, which it uses to help pay public expenses.

In Norway, oil revenues flow into the Government Pension Fund Global, the world’s largest sovereign wealth fund, valued at over $2 trillion. Laws govern how much, and for what purposes, money can be withdrawn from the fund, supporting public spending and preserving wealth for future generations. This is a similar model to Alaska’s state-owned program, funded by oil revenue, that pays for government services and sends an annual dividend to every permanent resident.

Russian oligarchs get rich

Russian oil is subject to stringent economic sanctions imposed by major industrial countries as a response to the Russian invasion and occupation of parts of Ukraine. While the U.S. cannot control how much Russia charges for its oil, it can control services needed to move Russian oil around the world. Under current price sanctions, Western shipping, insurance and financing can be used to ship and sell Russian crude oil only if the price is below $60 per barrel.

Russia’s oil industry is dominated by government-controlled companies whose leaders maintain close ties to President Vladimir Putin. The dealings of those shadowy figures are often shrouded in secrecy, but it is likely that they and Putin’s military-industrial complex – not the Russian people – are the main beneficiaries of high oil prices.

What this means for you

Everyday U.S. consumers may not like the idea of their hard-earned cash going into the already deep pockets of any of these groups. But in the short run, there’s not much to do but pay the price. For the long run, however, people around the world are already thinking and talking about, and opting for, sources of energy that don’t depend on fossil fuels.

The Conversation

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their academic appointment.

ref. When oil prices spike, where does the money go? – https://theconversation.com/when-oil-prices-spike-where-does-the-money-go-280763

Schools are supposed to limit using restraint and seclusion to discipline kids – but parents I spoke with say the practice is wildly misused

Source: The Conversation – USA (2) – By Charles Bell, Associate Professor of Criminal Justice Sciences, Illinois State University

Placing a student in seclusion is meant to be used as an emergency response to dangerous behavior, but it happens in other circumstances, too. EyeEm Mobile GmbH/iStock Getty Images Plus

“Jessica,” the adoptive mother of a third grade student, was shocked when she discovered that her daughter had spent over 100 hours locked in a room alone at her North Carolina public school.

School staff locked the child in a room by herself after she flipped markers in the air, lay on the floor and tilted her chair back, Jessica told me in 2024. Jessica’s daughter has a nonverbal learning disability, mild attention-deficit/hyperactivity disorder and bipolar disorder.

Jessica’s situation is one of dozens that I document in my 2026 book, “No Restraint: Disabled Children and Institutionalized Violence in America’s Schools.” This book is part of my research on how families of children with disabilities navigate public schools that use restraint and seclusion to discipline students.

Restraint in this context means reducing a student’s ability to move their body freely, whether it is someone physically holding a student back or using bungee cords to constrain them, according to the U.S. Department of Education. Seclusion means a student is physically prevented from leaving a room until they are calm.

Not all public schools have seclusion rooms. And seclusion rooms can look different in various schools. Some schools refer to them as quiet rooms or a timeout box. In some schools, a seclusion room has a door with an outside lock. In other schools, a staff member holds the door shut.

Restraint and seclusion are intended to be used in situations where a child is a danger to themselves or others. Some teachers argue that seclusion rooms are necessary to protect them when students become violent.

But parents like Jessica told me school staff routinely used these tactics to punish students for nonviolent, minor offenses.

Understanding restraint and seclusion

Approximately 100,000 students are restrained and secluded in public schools each year, according to the Department of Education’s most recent data, from 2020.

Students with disabilities make up 13% of the school-age population in the U.S. but constitute nearly 80% of those who were restrained and secluded in public schools. Widespread underreporting of this method of discipline is common.

There is no federal law that regulates seclusion and restraint in public schools.

That said, 44 states have laws that limit the use of restraint and seclusion to emergency situations or ban it altogether. Minnesota, for example, bans the use of seclusion for children who are in third grade or younger.

And 41 of these same states have laws that schools must notify parents each time their child is restrained or secluded.

Various news organizations, such as ChalkBeat, have found that schools in North Carolina, Michigan and Illinois have violated restraint and seclusion laws.

In some cases, schools use terms such as “quiet room” and “timeout” to circumvent laws that mandate reporting restraint and seclusion to parents and government agencies.

Talking directly with parents

I interviewed 50 parents of children with disabilities from urban, suburban and rural public schools across 15 states, including North Carolina, Michigan, Illinois, Texas, Utah and Massachusetts, between 2021 and 2024.

I recruited parents by posting a flyer on social media and contacting disability advocates in multiple states. I was interested in speaking with families whose children had been restrained and secluded at school. Some of the families were struggling financially, while others were affluent. I used fake names in my book to protect their identities.

All of the parents I spoke with had children who were restrained and secluded at school at least once, with some experiencing the punishment more than 30 times.

Children could be restrained and secluded for violent behavior. But this punishment was also meted out for relatively minor infractions: singing loudly in class, repeatedly leaving their seat, and eating snow. In some cases, after being restrained and secluded, children began hitting school staff, which led to additional time in the seclusion room.

A child sits at a desk and has many large fingers pointing at him, as fumes seem to come out of his head in a cartoon image.
Approximately 100,000 students are restrained and secluded in public schools each year.
Oscar Romero Ruiz/iStock

Punishing with restraint and seclusion

The Department of Education has said that restraint and seclusion “should never be used as punishment or discipline … as a means of coercion or retaliation, or as a convenience.”

However, most of the parents I interviewed told me that school staff were using restraint and seclusion as punishment.

A few parents I spoke with called the police or child protective services after their children were locked in seclusion rooms. Thirty-eight of the 50 parents I spoke with spent between US$2,000 and $300,000 on lawsuits against the schools.

In return, some school staff allegedly used intimidation tactics to stop parents from speaking out about their child’s seclusion, parents told me.

For example, two Michigan parents named “Amy” and “John” told me in 2024 that school staff restrained their 11-year-old son, “Michael,” in 2023 after he pushed a boy who was bullying him. Michael had been diagnosed with ADHD and pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections, or PANDAS, a disorder that can cause intense anxiety and mood swings.

School staff physically held Michael back. A teacher then allegedly dragged Michael to a seclusion room and locked him inside with another boy. Moments later, a second altercation occurred between the two boys in the room.

After learning about this incident in 2023, Amy and John withdrew Michael and sued the school.

After they spent $90,000 on a lawsuit, John said, the school requested a gag order to prevent them from speaking about their child’s experience. School administrators also offered John and Amy a $15,000 settlement.

John and Amy decided to stand their ground in court. As the lawsuit continued, school staff retaliated and called CPS on the family.

“There is a saying in the special needs community: ‘It isn’t if CPS gets called on you, it’s when.’ And it’s all because the school is using them as a tool to either push people out of the school or to intimidate them into behaving correctly,” John said.

When I contacted the school in 2024, administrators did not respond to comment on the lawsuit.

In Jessica’s case, she also hired an attorney and filed a federal lawsuit.

Jessica told me school staff concealed evidence of the more than 20 instances between 2018 and 2020 that they locked her daughter in a seclusion room.

When I spoke with Jessica in 2024, she told me that school administrators tried to fire her husband, who was employed by the district at the time of their lawsuit. In this case, Jessica shared how a judge intervened to prevent her husband from being fired.

Searching for meaningful solutions

Within the past few years, there have been calls for Congress to pass the Keeping All Students Safe Act.

After a failed attempt to pass this legislation in 2021, U.S. Rep. Donald Beyer, a Democrat from Virginia, reintroduced the Keeping All Students Safe Act to Congress in December 2025. The bill remains in the House Committee on Education and Workforce.

This legislation would protect children from harmful restraint and seclusion practices by ensuring that school staff are properly trained on this practice. The bill would limit the use of restraint and seclusion to emergency situations. And it would mandate that parents are notified every time their child is restrained or secluded at school.

Regardless of federal legislation, I think that parents play an important role in understanding how school restraint and seclusion affect families. Also, researchers and policymakers cannot fully understand how retaliation influences parents’ schooling decisions if parents are not included in this discussion.

The Conversation

Charles Bell does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

ref. Schools are supposed to limit using restraint and seclusion to discipline kids – but parents I spoke with say the practice is wildly misused – https://theconversation.com/schools-are-supposed-to-limit-using-restraint-and-seclusion-to-discipline-kids-but-parents-i-spoke-with-say-the-practice-is-wildly-misused-279920

Mint: new BBC crime drama is visually dazzling but emotionally thin

Source: The Conversation – UK – By Laura Minor, Lecturer in Television Studies, University of Salford

When Charlotte Regan’s debut feature film, Scrapper, won the grand jury prize at the prestigious Sundance film festival in 2023, it announced a filmmaker of rare instinctive warmth.

Scrapper showed Regan to be capable of rendering working-class life with tenderness, wit and a magical lightness that felt entirely her own. With her new eight-part BBC series Mint, the filmmaker turns her hand to crime drama, bringing that same sensibility to television.

Mint sits squarely within what film scholar David Forrest, in his 2020 book New Realism: Contemporary British Cinema, identified as a poetic turn in British screen culture. Where the social realist tradition (think the films of Ken Loach and Mike Leigh) favours direct, politically explicit storytelling, this newer mode prefers something more impressionistic and ambiguous. Forrest traces this tendency through filmmakers such as Andrea Arnold, Clio Barnard and Shane Meadows. Regan is its natural inheritor.

That she should apply this sensibility to a BBC crime drama was, at first, enough to raise an eyebrow. The genre’s conventions (cold proceduralism, gritty realism, familiar signifiers of deprivation) seem antithetical to everything that made Scrapper so alive – a film in which a 12-year-old girl squatting alone in a council house is the unlikely centre of a story that is both sweet and charming.

The trailer for Mint.

Set in Grangemouth, Scotland, amid the eerily beautiful landscape of cooling towers and housing estates, Mint is, in its first episode, unapologetically Romeo and Juliet. Shannon (Emma Laird) is the daughter of crime boss Dylan (Sam Riley); Arran (Benjamin Coyle-Larner, the rapper better known as Loyle Carner, making his acting debut) is the prodigal son of a rival family, newly arrived from London. The two are star-crossed before even exchanging a word.

They meet at a train station, lock eyes across the tracks and the air around Arran seems to catch light. This is not a metaphor. Sparks erupt around Arran’s silhouette and the camera lingers on Shannon’s face with piercing intensity. It is a visual language of magic realism shaped by Regan’s background in music videos, which she has directed since she was 15. Super 8 footage punctuates the narrative throughout the series, offering slivers of a family history that feel, texturally, as immediate as the present.

But Mint runs into difficulties when it must dramatise rather than observe. Regan’s camera is an attentive instrument, alive to the unspoken interior lives of its subjects – but lyricism alone cannot carry a story.

A shallow love story

Shannon and Arran’s romance, for all its visual electricity, is paper thin. Their relationship escalates from a quick encounter at a train station to declarations of deep emotional significance within the space of 30 minutes. This is not Laird’s fault – she is magnetic throughout, giving Shannon a volatile, searching quality that makes the character compelling even when the writing does not. It is a problem of the script’s pacing and, perhaps, its misplaced faith that poetic vision can do the emotional work character development has not yet earned.

The crime world that surrounds the central romance is similarly under-explored. Sam Riley is reliably imposing as Dylan. But the gang dynamics feel sketched rather than inhabited, gesturing toward the genre’s conventions (slow-motion confrontations, coded loyalties, fathers trying to keep daughters in gilded cages) without interrogating or subverting them with any particular rigour.

There is a richer series lurking in Mint, one that more seriously pursues the feminist undercurrent running through it. At its heart are three generations of women – Shannon, her mother Cat (Laura Fraser) and grandmother Ollie (Lindsay Duncan) – watching the men in their lives perform masculinity and violence, navigating complicity and quiet resistance in equal measure.

Too often, though, visual boldness is allowed to stand in for dramatic depth, and the result, for all its beauty, is a series that dazzles more than it moves.

The Conversation

Laura Minor does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

ref. Mint: new BBC crime drama is visually dazzling but emotionally thin – https://theconversation.com/mint-new-bbc-crime-drama-is-visually-dazzling-but-emotionally-thin-280882

La selección: la aventura de divulgar ciencia repite en la UIMP

Source: The Conversation – (in Spanish) – By Lorena Sánchez, Responsable de Eventos. Editora de Ciencia y Tecnología, The Conversation

Luis Martínez Otero, Elena Sanz en el centro, y Conchi Lillo durante la conversación que tenía como título ‘Las locuras del cerebro’ en el curso de la UIMP de 2023. The Conversation, CC BY

Quien lo probó lo sabe… Pedimos prestado un verso a Lope de Vega para invitarles a la nueva edición, la quinta, del curso de verano “La aventura de divulgar la ciencia en español con éxito”, que impartimos desde The Conversation en ese palacio en una colina junto al mar, sede de los cursos de verano de la UIMP: el Palacio de la Magdalena, en Santander.

No es fácil que un curso se consolide, pero ya podemos decir que el nuestro lo ha hecho: nos acompaña un alumnado con una alta media de repetidores. Noventa asistentes ha sido el récord, por el momento. Para hacerlo posible, contamos con el apoyo de instituciones amigas: la Fundación Ramón Areces, la Fundación Lilly y la UCC+I de la Universidad de Navarra.

En esta edición, la temática general es “Lo humano, primero”. Y, siguiendo la línea del curso, durante las mañanas expertas y expertos en ciencia y divulgación de primer nivel ofrecerán charlas, debates y propuestas que siempre incluyen rigor y audacia. Por las tardes, talleres prácticos.

Para destacar lo humano en la sociedad de la IA, hemos elegido, para empezar, la ética. Y de ello tratará, en la charla inaugural, el experto en cuántica e IA José Ignacio Latorre, director del Center for Quantum Technologies (CQT) en Singapur y autor, entre otros, del imperdible libro Ética para máquinas.

Continuamos con la mentira: “¿Mentimos más que ChatGPT?”. Lo tratarán la antropóloga Candela Antón, el catedrático de periodismo en la Universidad de Navarra Ramón Salaverría y el también catedrático de Periodismo y experto en geopolítica de la Universidad de Castilla-La Mancha Juan Luis Manfredi, que conoce a fondo los entresijos de la diplomacia.

Quizá sea la creatividad lo que nos define. Para tratarlo, plantearemos este debate: en un escenario en el que hubiera que elegir entre un mundo sin arte o sin ciencia, ¿con qué nos quedaríamos? Lo defenderán el catedrático de Microbiología Ignacio López-Goñi y el profesor de Estética Ricardo Piñero Moral. ¿Cuál será el resultado de la votación?

Dedicaremos una jornada a hablar de los invisibles y de ese rasgo humano que tanto nos importa: el cuidado. El investigador del CSIC Lluís Montoliu tratará las enfermedades raras; la profesora de Matemática Aplicada de la Universidad de Sevilla, Clara Grima, le pondrá luz a las matemáticas invisibles; ofreceremos herramientas para divulgar atendiendo a personas con discapacidad y terminaremos (spoiler) con un aperitivo gastronómico del eclipse que se avecina.

Hay mucho más. Entre otras cosas, volaremos cometas en la playa con el ecólogo del CSIC Fernando Valladares, destacando el juego como una actividad de primera necesidad, el pan social. Y así, a lo largo de tres jornadas, un total de 16 expertas y expertos ocuparán el aula de La Magdalena, en la que nos arrojaremos a “La aventura de divulgar ciencia en español”.

Si aún no lo han probado, este es el momento.


Del 15 al 17 de julio

Inscripciones y programa completo en este enlace.

El periodo de solicitud de becas estará abierto hasta el 4 de mayo en este enlace.


The Conversation

ref. La selección: la aventura de divulgar ciencia repite en la UIMP – https://theconversation.com/la-seleccion-la-aventura-de-divulgar-ciencia-repite-en-la-uimp-280881

40 years on from the disaster, why there are foxes, bears and bison again around Chernobyl

Source: The Conversation – UK – By Nick Dunn, Professor of Urban Design, Lancaster University

Wikimedia, CC BY

In the novel When There Are Wolves Again by E.J. Swift, the Chernobyl disaster and its legacy is extrapolated to a near future where natural habitats are depleted and precarious.

This work of eco-fiction deftly explores issues of possible paths to a future where animals return to a nature depleted area. In the real world, a parallel version of this story has been unfolding as nature is thriving around former nuclear power plants.

This is especially evident at the former Chernobyl plant in Ukraine, where the absence of human activity has enabled wildlife to flourish despite continuing radiation, 40 years after the nuclear disaster there.

A 2,600km² exclusion zone was established following the world’s worst civilian nuclear accident at Chernobyl in 1986, which released a radioactive cloud across Europe and led to the evacuation of around 115,000 people from the surrounding area. Almost immediately, radiation poisoning killed 31 plant workers and firefighters.

It is 40 years since the Chernobyl disaster that led to the creation of the Chernobyl Exclusion Zone (CEZ). Since 1986, it has turned into a thriving, unintentional wildlife sanctuary and a vast rewilding “laboratory”. The CEZ prohibits people living there, commercial activities, natural resource extraction and public access. Now the area is home to flourishing populations of large mammals.

Populations of wolves, foxes, Eurasian lynx, elk and wild boar have significantly increased here. Species such as brown bears and European bison, meanwhile, have returned. This is rewilding in its most extreme form, given the inability of humans to intervene and it has resulted in several unexpected effects in the CEZ.

Studies indicate that the lack of human hunting, agriculture and development has a more positive impact on animal numbers than radiation has a negative one.

Large mammal populations in the Belarusian sector of the zone are comparable to or higher than those in uncontaminated nature reserves. There is no doubt that initial radiation caused major damage to flora and fauna, most notably in the “red forest”, a 10km² area near the nuclear power plant.

This area earned its name after pine trees died and turned red-brown due to high radiation absorption. Yet long-term studies show that biodiversity has increased in the absence of humans.

Return of rare species

A range of endangered species have returned to the exclusion zone. This includes Przewalski’s horses, reintroduced in 1998 as a conservation experiment. They are now thriving, and the population has grown to over 150 animals within a distinct area of the Ukrainian part of the zone.

Both Eurasian lynx and European bison, which had disappeared from the area, have returned and established their populations. Several different bird species have returned, such as black storks, white storks and white-tailed eagles.

Chernobyl’s black frogs.

Most significant, is the return of the globally endangered greater spotted eagle, which depends on wetland habitats to hunt and is very sensitive to human disturbance. It had vanished from the area at the time of the nuclear accident.

In 2019, four pairs were recorded at the study site, and at least 13 pairs were documented nesting in the Belarusian part of the zone. Today, this region is the only place in the world where the population of this rare species is growing.

Frogs change colour

There is also scientific evidence that some species appear to be adapting to the radioactive environment. For example, tree frogs in the zone are darker, as higher melatonin levels seem to protect against radiation damage.

There also appears to be resilience evolving in wolves as research on Eurasian wolves indicates potential adaptations to survive chronic radiation and reduce cancer risks.

Such adaptation is not limited to animals. A black fungus was first discovered in 1991 using remotely piloted robots growing inside reactor 4 of the former power plant. It appears to use melanin, which can protect against ultra-violet light, to convert gamma radiation into energy to grow faster than normal.

What happened in the Chernobyl nuclear accident.

In addition, some plants in the nearby zone are demonstrating DNA repair as a response to the high levels of radiation. Such adaptation means the vegetation has evolved to survive, with some plants showing enhanced ability to manage heavy metals and radiation.

It is now one of Europe’s largest nature reserves, providing an important site for ecological research, particularly for how ecosystems recover when undisturbed.

The zone has undoubtedly been shaped by radiation but also, crucially, by abandonment and time. As a consequence, the usual ecological rules no longer apply and this has meant Chernobyl now has some remarkable wildlife. For example, the hundreds of pet dogs abandoned in the aftermath of the disaster have become feral dogs that have evolved to be genetically distinct from populations elsewhere in Ukraine.

Despite the evidence supporting rewilding here, it is apparent that not all outcomes of the disaster have been beneficial for flora and fauna. There is evolutionary pressure with some species showing reduced reproductive success and high mutation rates, resulting in some health issues for animals.

But it is not only at Chernobyl where these nuclear zones are encouraging animals to return. Around other damaged nuclear reactors, such as Fukushima, mammals, including bears, raccoons and wild boars have now returned in high numbers transforming exclusion zones into unexpected sanctuaries. At some operating nuclear plants, local wildlife has been encouraged through habitat creation and protection of large, undisturbed exclusion areas.

Clearly, the situation is complicated, and it should not take a nuclear accident to stop humans pushing other species towards existential risk, let alone the continuing environmental degradation occurring around the globe. There are lessons to be learned from such catastrophes, and no neat conclusions, even 40 years after the disaster.

Wildlife has largely returned to the area around Chernobyl due to the absence of people, although not predictably or evenly. It does illustrate, however, how ecosystems can respond and still flourish when the usual rules do not apply.

The Conversation

Nick Dunn receives funding from various UKRI funding councils and UK government bodies. He is a Director of DarkSky UK.

ref. 40 years on from the disaster, why there are foxes, bears and bison again around Chernobyl – https://theconversation.com/40-years-on-from-the-disaster-why-there-are-foxes-bears-and-bison-again-around-chernobyl-280300

Half of AI health answers are wrong even though they sound convincing – new study

Source: The Conversation – UK – By Carsten Eickhoff, Professor, Medical Data Science, University of Tübingen

Who is Danny/Shutterstock.com

Imagine you have just been diagnosed with early-stage cancer and, before your next appointment, you type a question into an AI chatbot: “Which alternative clinics can successfully treat cancer?” Within seconds you get a polished, footnoted answer that reads like it was written by a doctor. Except some of the claims are unfounded, the footnotes lead nowhere, and the chatbot never once suggests that the question itself might be the wrong one to ask.

That scenario is not hypothetical. It is, roughly speaking, what a team of seven researchers found when they put five of the world’s most popular chatbots through a systematic health-information stress test. The results are published in BMJ Open.

The chatbots, ChatGPT, Gemini, Grok, Meta AI and DeepSeek, were each asked 50 health and medical questions spanning cancer, vaccines, stem cells, nutrition and athletic performance. Two experts independently rated every answer. They found that nearly 20% of the answers were highly problematic, half were problematic, and 30% were somewhat problematic. None of the chatbots reliably produced fully accurate reference lists, and only two out of 250 questions were outright refused to be answered.

Overall, the five chatbots performed roughly the same. Grok was the worst performer, with 58% of its responses flagged as problematic, ahead of ChatGTP at 52% and Meta AI at 50%

Performance varied by topic, though. Chatbots handled vaccines and cancer best – fields with large, well-structured bodies of research – yet still produced problematic answers roughly a quarter of the time. They stumbled most on nutrition and athletic performance, domains awash with conflicting advice online and where rigorous evidence is thinner on the ground.

Open-ended questions were where things really went sideways: 32% of those answers were rated highly problematic, compared with just 7% for closed ones.
That distinction matters because most real-world health queries are open ended. People do not ask chatbots neat true-or-false questions. They ask things like: “Which supplements are best for overall health?” This is the kind of prompt that invites a fluent and confident yet potentially harmful answer.

When the researchers asked each chatbot for ten scientific references, the median (the middle value) completeness score was just 40%. No chatbot managed a single fully accurate reference list across 25 attempts. Errors ranged from wrong authors and broken links to entirely fabricated papers. This is a particular hazard because references look like proof. A lay reader who sees a neatly formatted citation list has little reason to doubt the content above it.

An elderly man with a broken arm, holding a mobile phone.
How reliable is it?
Troyan/Shutterstock.com

Why chatbots get things wrong

There’s a simple reason why chatbots get medical answers wrong. Language models do not know things. They predict the most statistically likely next word based on their training data and context. They do not weigh evidence or make value judgments. Their training material includes peer-reviewed papers, but also Reddit threads, wellness blogs and social-media arguments.

The researchers did not ask neutral questions. They deliberately crafted prompts designed to push chatbots toward giving misleading answers – a standard stress-testing technique in AI safety research known as “red teaming”. This means the error rates probably overstate what you would encounter with more neutral phrasing. The study also tested the free versions of each model available in February 2025. Paid tiers and newer releases may perform better.

Still, most people use these free versions, and most health questions are not carefully worded. The study’s conditions, if anything, reflect how people actually use these tools.

The article’s findings do not exist in isolation; they land amid a growing body of evidence painting a consistent picture.

A February 2026 study in Nature Medicine showed something surprising. The chatbots themselves could get the right medical answer almost 95% of the time. But when real people used those same chatbots, they only got the right answer less than 35% of the time – no better than people who didn’t use them at all. In simple terms, the issue isn’t just whether the chatbot gives the right answer. It’s whether everyday users can understand and use that answer correctly.

A recent study published in Jama Network Open tested 21 leading AI models. The researchers asked them to work out possible medical diagnoses. When the models were given only basic details – like a patient’s age, sex and symptoms – they struggled, failing to suggest the right set of possible conditions more than 80% of the time. Once the researchers fed in exam findings and lab results, accuracy soared above 90%.

Meanwhile, another US study, published in Nature Communications Medicine, found that chatbots readily repeated and even elaborated on made-up medical terms slipped into prompts.

Taken together, these studies suggest the weaknesses found in the BMJ Open study are not quirks of one experimental method but reflect something more fundamental about where the technology stands today.

These chatbots are not going away, nor should they. They can summarise complex topics, help prepare questions for a doctor, and serve as a starting point for research. But the study makes a clear case that they should not be treated as stand-alone medical authorities.

If you do use one of these chatbots for medical advice, verify any health claim it makes, treat its references as suggestions to check rather than fact, and notice when a response sounds confident but offers no disclaimers.

The Conversation

Carsten Eickhoff is a co-founder and shareholder of x-cardiac GmbH and receives funding from the DFG, NIH, NDI, BMFTR, Böhringer Ingelheim, and Carl Zeiss Foundation.

ref. Half of AI health answers are wrong even though they sound convincing – new study – https://theconversation.com/half-of-ai-health-answers-are-wrong-even-though-they-sound-convincing-new-study-280512

Our Large Hadron Collider results hint at undiscovered physics

Source: The Conversation – UK – By William Barter, UKRI Future Leaders Fellow, School of Physics and Astronomy, University of Edinburgh

The LHCb experiment at the Large Hadron Collider. CERN

Recent findings from research we have been carrying out at the Large Hadron Collider (LHC) at Cern in Geneva suggest that we might be closing in on signs of undiscovered physics.

If confirmed, these hints would overturn the theory, called the Standard Model, that has dominated particle physics for 50 years. The findings suggest the way that specific sub-atomic particles behave in the LHC disagrees with the Standard Model.

Fundamental particles are the most basic building blocks of matter – sub-atomic particles that cannot be divided into smaller units. The four fundamental forces – gravity, electromagnetism, the weak force and the strong force – govern how these particles interact.

The LHC is a giant particle accelerator built in a 27km-long circular tunnel under the French-Swiss border. Its main purpose is to find cracks in the Standard Model.

This theory is our best understanding of fundamental particles and forces, but we know it cannot be the whole story. It does not explain gravity or dark matter – the invisible, so far unmeasured type of matter that makes up approximately 25% of the universe.

In the LHC, beams of proton particles travelling in opposite directions are made to collide, in a bid to uncover hints of undiscovered physics. The new results come from LHCb, an experiment at the Large Hadron Collider where these collisions are analysed.

The result comes from studying the decay – a kind of transformation – of sub-atomic particles called B mesons. We investigated how these B mesons decay into other particles, finding that the particular way in which this happens disagrees with the predictions of the Standard Model.

An elegant theory

The Standard Model is built on two of the 20th century’s most transformative advances in physics; quantum mechanics and Einstein’s special relativity.

Physicists can compare measurements made at facilities such as the LHC with predictions based on the Standard Model to rigorously test the theory.

Despite the fact that we know the Standard Model is incomplete, in over 50 years of increasingly rigorous testing, particle physicists are yet to find a crack in the theory. That is, potentially, until now.

Standard Model
The Standard Model is the best understanding of fundamental particles and forces, but we know it cannot be the whole story.
Alionaursu / Shutterstock

Our measurement, accepted for publication in Physical Review Letters, shows a tension of four standard deviations from the expectations of the Standard Model.

In real world terms, this means that, after considering the uncertainties from the experimental results and from the theory predictions, there is only a one in 16,000 chance that a random fluctuation in the data this extreme would occur if the Standard Model is correct.

Although this falls short of science’s gold standard – what’s known as five sigma, or five standard deviations (about a one in 1.7 million chance) – the evidence is starting to mount. Adding to this compelling narrative are results from an independent LHC experiment, CMS, that were published earlier in 2025.

Although the CMS results are not as precise as those from LHCb, they agree well, strengthening the case. Our new results have been found in a study of a particular kind of process, known as an electroweak penguin decay.

Rare events

The term “penguin” refers to a specific type of decay (transformation) of short-lived particles. In this case we study how the B meson decays into four other subatomic particles – a kaon, a pion and two muons.

With some imagination, one can visualise the arrangement of the particles involved as looking like a penguin. Crucially, measurements of this decay let us study how one type of fundamental particle, a beauty quark, can transform into another, the strange quark.

This penguin decay is incredibly rare in the Standard Model: for every million B mesons, only one will decay in this manner. We have carefully analysed the angles and energies at which these particles are produced in the decay, and precisely determined how often the process takes place. We found that our measurements of these quantities disagree with Standard Model predictions.

At the LHC, magnets bend proton particles around a 27km-long tunnel, built under the French-Swiss border.
Cern

Precise investigations of decays like this are one of the primary goals of the LHCb experiment, and have been since its inception in 1994. Penguin processes are uniquely sensitive to the effects of potentially very heavy new particles that cannot be created directly at the LHC.

Such particles may still exert a measurable influence on these decays over the small Standard Model contribution. This kind of indirect observation is not new. For example, radioactivity was discovered 80 years before the fundamental particles that are responsible for it (the W bosons) were directly seen.

Future directions

Our studies of rare processes let us explore parts of nature that may otherwise only become accessible using particle colliders planned for the 2070s. There are a wide range of potential new theories that can explain our findings. Many contain new particles called “leptoquarks” that unite the two different types of matter: “leptons” and “quarks”.

Other potential theories contain particles that are heavier analogues of those already found in the Standard Model. The new results constrain the form of these models and will direct future searches for them.

Despite our excitement, open theoretical questions remain that prevent us from definitively claiming that physics beyond the Standard Model has been observed. The most serious question arises from so-called “charming penguins”, a set of processes present in the Standard Model, whose contributions are extremely tricky to predict. Recent estimates of these charming penguins suggest their effects are not large enough to explain our data.

Furthermore, a combination of a theory model and experimental data from LHCb suggests that the charming penguins (and therefore, the Standard Model) struggle to explain the anomalous results.

New data already collected will let us confirm the situation in the coming years: in our current work we studied approximately 650 billion B meson decays recorded between 2011 and 2018 to find these penguin decays. Since then, the LHCb experiment has recorded three times as many B mesons.

Further advances are planned for the 2030s to exploit future upgrades to the LHC and accrue a dataset 15 times larger again. This ultimate step will allow definitive claims to be made, potentially unlocking a new understanding of how the universe works at the most elementary level.

The Conversation

William Barter works for the University of Edinburgh. He receives funding from UKRI. He is a member of the LHCb collaboration at Cern.

Mark Smith does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

ref. Our Large Hadron Collider results hint at undiscovered physics – https://theconversation.com/our-large-hadron-collider-results-hint-at-undiscovered-physics-272620