Johns Hopkins researchers may have identified a compelling clue in the ongoing hunt to prove the existence of dark matter. A mysterious diffuse glow of gamma rays near the center of the Milky Way has stumped researchers for decades, as they've tried to discern whether the light comes from colliding particles of dark matter or quickly spinning neutron stars.

It turns out that both theories are equally likely, according to research published in the journal Physical Review Letters.

If excess gamma light is not from dying stars, it could become the first proof that dark matter exists.

"Dark matter dominates the universe and holds galaxies together. It's extremely consequential and we're desperately thinking all the time of ideas as to how we could detect it," said co-author Joseph Silk, a professor of physics and astronomy at Johns Hopkins and a researcher at the Institut d'Astrophysique de Paris and Sorbonne University. "Gamma rays, and specifically the excess light we're observing at the center of our galaxy, could be our first clue."

Silk and an international team of researchers used supercomputers to create maps of where dark matter should be located in the Milky Way, taking into account for the first time the history of how the galaxy formed.

Today, the Milky Way is a relatively closed system, without materials coming in or going out of it. But this hasn't always been the case. During the first billion years, many smaller galaxy-like systems made of dark matter and other materials entered and became the building blocks of the young Milky Way. As dark matter particles gravitated toward the center of the galaxy and clustered, the number of dark matter collisions increased.

When the researchers factored in more realistic collisions, their simulated maps matched actual gamma ray maps taken by the Fermi Gamma-ray Space Telescope.

These matching maps round out a triad of evidence that suggests excess gamma rays in the center of the Milky Way could originate with dark matter. Gamma rays coming from dark matter particle collisions would produce the same signal and have the same properties as those observed in the real world, the researchers said—though it's not definitive proof.

There's no doubt that artificial intelligence (AI) will have a profound impact on our economies, work and lifestyle. But could this technology also shape the way we think and speak?

AI can be used to draft essays and solve problems in mere seconds that otherwise might take us minutes or hours. When we shift to an over-reliance on such tools, we arguably fail to exercise key skills such as critical thinking and our ability to use language creatively. Precedents from psychology and neuroscience research hint that we should take the possibility seriously.

There are several precedents for technology reconfiguring our minds, rather than just assisting them. Research shows that people who rely on GPS tend to lose part of their ability to form mental maps.

London taxi drivers once memorized hundreds of streets before the advent of satellite navigation. These drivers developed enlarged hippocampi as a result of this. The hippocampus is the brain region associated with spatial memory.

In one of his most striking studies, the Russian psychologist Lev Vygotsky examined patients who suffered from aphasia, a disorder that impairs the ability to understand or produce speech.

When asked to say "snow is black" or to misname a color, they could not. Their minds resisted any separation between words and things. Vygotsky saw this as the loss of a key ability: to use language as an instrument for thinking creatively, and going beyond what is given to us.

Could an over-reliance on AI produce similar problems? When language comes pre-packaged from screens, feeds, or AI systems, the link between thought and speech may begin to wither.

In education, students are using generative AI to compose essays, summarize books, and solve problems in seconds. Within an academic culture already shaped by competition, performance metrics, and quick results, such tools promise efficiency at the cost of reflection.

Many teachers will recognize those students who produce eloquent, grammatically flawless texts but reveal little understanding of what they have written. This represents the quiet erosion of thinking as a creative activity.

Comets tend to have two tails. One is known as the dust tail, and it tends to be more curved, while the other, known as the ion or plasma tail, is straighter, pointing away from the Sun. The tails can also be long, with ion tails often extending for hundreds of millions of kilometers. We have not seen the ion tail for interstellar comet 3I/ATLAS, but if it’s there, two spacecraft might soon cross it.

The spacecraft in question are NASA’s Europa Clipper, going to the eponymous icy moon of Jupiter, and the European Space Agency’s Hera, which is travelling to the binary asteroid Didymos and Dimorphos, the site of the first-ever planetary defense demonstration when the DART mission purposely hit Dimorphos, shifting its orbit.

According to a new paper, both spacecraft will be aligned in such a way that they could be entering the comet’s ion tail in the coming weeks. It is an excellent time to do so; the interstellar comet is not going to get very close to the Sun (203 million kilometers; 126 million miles), but that minimum distance will also mark a peak in activity. It is happening on October 29, and both spacecraft will be within the possible location of the ion tail.

Hera will be in the right position first, from October 25 to November 1, right at the peak. While this is exciting, and we know that ESA is always ready to jump on an opportunity when it comes to 3I/ATLAS, the probe does not have the right suite of instruments to study the ion tail.

“My understanding is that because Hera is not equipped with any in-situ instruments, there is no opportunity to measure any properties of the comet’s tail as it passes through,” an ESA spokesperson told IFLScience. They assured us that the team will look at the paper, and we will be informed if there are any new developments.

Europa Clipper, on the other hand, has the right instruments to try, and if the solar wind conditions are favorable between October 30 and November 6, “Europa Clipper has a rare opportunity to sample an interstellar object’s tail,” write the authors. Will Europa Clipper conduct these observations? Unsure.

We got in touch with NASA’s Jet Propulsion Laboratory (JPL), which runs the mission, but at the time of publication, we have not received a reply. This might be due to the effect of the current government shutdown, though JPL is also undergoing an internal restructuring, firing 550 people. This could also affect the possibility of actually using the mission for this investigation. 

When recognizing faces and emotions, artificial intelligence (AI) can be biased, like classifying white people as happier than people from other racial backgrounds. This happens because the data used to train the AI contained a disproportionate number of happy white faces, leading it to correlate race with emotional expression.

In a recent study, published in Media Psychology, researchers asked users to assess such skewed training data, but most users didn't notice the bias—unless they were in the negatively portrayed group.

The study was designed to examine whether laypersons understand that unrepresentative data used to train AI systems can result in biased performance. The scholars, who have been studying this issue for five years, said AI systems should be trained so they "work for everyone," and produce outcomes that are diverse and representative for all groups, not just one majority group. According to the researchers, that includes understanding what AI is learning from unanticipated correlations in the training data—or the datasets fed into the system to teach it how it is expected to perform in the future.

"In the case of this study, AI seems to have learned that race is an important criterion for determining whether a face is happy or sad," said senior author S. Shyam Sundar, Evan Pugh University Professor and director of the Center for Socially Responsible Artificial Intelligence at Penn State. "Even though we don't mean for it to learn that."

The question is whether humans can recognize this bias in the training data. According to the researchers, most participants in their experiments only started to notice bias when the AI showed biased performance, such as misclassifying emotions for Black individuals but doing a good job of classifying the emotions expressed by white individuals. Black participants were more likely to suspect that there was an issue, especially when the training data over-represented their own group for representing negative emotion (sadness).

"In one of the experiment scenarios—which featured racially biased AI performance—the system failed to accurately classify the facial expression of the images from minority groups," said lead author Cheng "Chris" Chen, an assistant professor of emerging media and technology at Oregon State University who earned her doctorate in mass communications from the Donald P. Bellisario College of Communications at Penn State. "That is what we mean by biased performance in an AI system where the system favors the dominant group in its classification."

#DidYouKnow Chameleons have prehensile tails that help them grip and wrap around branches while climbing. Unlike many other lizards, their tails cannot regenerate once broken off.

📸: Ignacio Palacios

As Parkinson's disease progresses, harmful protein clumps build up in the brain, blocking communications between neurons and killing them off – but what if we could prevent these clusters from forming?

Researchers led by a team from the University of Bath in the UK have achieved just that in a basic worm model of Parkinson's. They engineered a peptide, a small amino acid chain, to essentially keep a protein called alpha-synuclein locked in its healthy shape. This prevented the misfolding that leads to clumps.

The potential treatment checks several important boxes: it's durable, and it can survive inside cells without causing any toxic side effects.

"This opens an exciting path towards new therapies for Parkinson's and related diseases, where treatment options remain extremely limited," says biochemist Jody Mason, from the University of Bath.

The study follows on from previous work by some of the same researchers, which identified part of the alpha-synuclein protein that may stop it building to dangerous levels. This key part or fragment acts like a guide for the protein to follow.

When cholesterol levels in the blood rise too high, a condition known as hypercholesterolemia can develop, damaging arteries and threatening heart health. Researchers from the University of Barcelona and the University of Oregon have now unveiled a promising new therapy that helps control cholesterol levels and offers fresh possibilities for combating atherosclerosis, a disease linked to the buildup of fatty plaques in artery walls.

The team developed a method to block the activity of PCSK9, a protein that plays a crucial role in regulating the amount of low-density lipoprotein cholesterol (LDL-C) in the bloodstream. Using specially designed molecules called polypurine hairpins (PPRH), the technique boosts the removal of cholesterol by cells and prevents it from accumulating in arteries, without the unwanted side effects often associated with statin medications.

Scientists at Columbia Engineering have developed a new cancer treatment that teams up bacteria and viruses to fight tumors. In findings published in Nature Biomedical Engineering, the Synthetic Biological Systems Lab demonstrated a method in which a virus is concealed inside a bacterium that naturally seeks out tumors. This allows the virus to evade the body’s immune defenses and activate once it reaches the cancer site.

The system takes advantage of each microbe’s strengths: bacteria’s ability to locate and invade tumors and viruses’ ability to infect and destroy cancer cells. The research, led by Tal Danino, an associate professor of biomedical engineering at Columbia Engineering, produced a platform named CAPPSID (short for Coordinated Activity of Prokaryote and Picornavirus for Safe Intracellular Delivery). The team collaborated with Charles M. Rice, a virology expert from The Rockefeller University.

Engineering Microbe Cooperation
“We aimed to enhance bacterial cancer therapy by enabling the bacteria to deliver and activate a therapeutic virus directly inside tumor cells, while engineering safeguards to limit viral spread outside the tumor,” says co-lead author Jonathan Pabón, an MD/PhD candidate at Columbia.

The scientists believe their mouse-based experiments mark the first instance of intentionally engineering bacteria and viruses to work together against cancer.

Silicon has long been the foundation of semiconductor technology that powers devices such as smartphones, computers, and electric vehicles. However, its dominance may be waning, according to a research team led by scientists at Penn State.

For the first time, the group successfully built a functioning computer using two-dimensional (2D) materials, substances only one atom thick that maintain their properties even at that extreme scale, unlike silicon. The computer they developed is capable of performing basic operations, signaling a major shift in materials used for electronics.

The findings, published in Nature, mark a significant advancement toward creating thinner, faster, and more energy-efficient electronic systems, the researchers explained. The team developed a complementary metal-oxide semiconductor (CMOS) computer, the core technology found in nearly all modern electronic devices, without using silicon.

Instead, they combined two distinct 2D materials to form the necessary transistors that regulate electric current in CMOS circuits: molybdenum disulfide for the n-type transistors and tungsten diselenide for the p-type transistors.

“Silicon has driven remarkable advances in electronics for decades by enabling continuous miniaturization of field-effect transistors (FETs),” said Saptarshi Das, the Ackley Professor of Engineering and professor of engineering science and mechanics at Penn State, who led the research. FETs control current flow using an electric field, which is produced when a voltage is applied. “However, as silicon devices shrink, their performance begins to degrade. Two-dimensional materials, by contrast, maintain their exceptional electronic properties at atomic thickness, offering a promising path forward.”

Before cells can divide, they first need to replicate all of their chromosomes, so that each of the daughter cells can receive a full set of genetic material. Until now, scientists had believed that as division occurs, the genome loses the distinctive 3D internal structure that it typically forms.

Once division is complete, it was thought, the genome gradually regains that complex, globular structure, which plays an essential role in controlling which genes are turned on in a given cell.

However, a new study from MIT shows that in fact, this picture is not fully accurate. Using a higher-resolution genome mapping technique, the research team discovered that small 3D loops connecting regulatory elements and genes persist in the genome during cell division, or mitosis.

The study has been published in Nature Structural & Molecular Biology.

"This study really helps to clarify how we should think about mitosis. In the past, mitosis was thought of as a blank slate, with no trannoscription and no structure related to gene activity. And we now know that that's not quite the case," says Anders Sejr Hansen, an associate professor of biological engineering at MIT. "What we see is that there's always structure. It never goes away."

The researchers also discovered that these regulatory loops appear to strengthen when chromosomes become more compact in preparation for cell division. This compaction brings genetic regulatory elements closer together and encourages them to stick together. This may help cells "remember" interactions present in one cell cycle and carry it to the next one.

"The findings help to bridge the structure of the genome to its function in managing how genes are turned on and off, which has been an outstanding challenge in the field for decades," says Viraat Goel Ph.D. '25, the lead author of the study.

A nanoparticle vaccine has shown great promise in preventing three types of cancer in mice, as well as stopping tumors from spreading when they were exposed to cancerous cells. 

Cancer vaccines have moved from the sci-fi dream realm into actual scientific possibility within just a few short decades. We’re not just talking about the HPV vaccine, incredible though its success has been at preventing cases of cervical cancer. A vaccine against a virus, albeit one that causes cancer, is easier to conceptualize – we get vaccinated against tons of other viruses, after all. 

But vaccinating against a non-infectious disease like cancer, with all its complex causes and different presentations, is much harder to wrap your head around – making this latest study perhaps even more impressive. 

Researchers led by a team at the University of Massachusetts Amherst have developed a nanoparticle-based vaccine that has previously been shown to shrink and clear cancerous tumors in mice. Now, they’ve demonstrated it can also work to prevent three types of cancer: pancreatic cancer, melanoma, and triple-negative breast cancer. 

Horses had a huge impact on the success of many human societies. Now, scientists have found two key gene variants that helped paved the way for that equine role in human history. The pair made horses tamer and more rideable, researchers now report.

Ancient horse DNA suggests modern domesticated horses came from southwestern Russia more than 4,200 years ago. This research, published in 2021, revealed where and when humans had domesticated the animals. Ludovic Orlando led that study. A molecular archaeologist, he works at the Centre for Anthropobiology and Genomics. That’s in Toulouse, France.

What that work hadn’t shown was precisely what genetic changes in horses — mutations — might have led to these new traits.

Orlando and a team of scientists from China and Switzerland have now done that. They analyzed horse genomes, the full set of genetic instructions making up their DNA. In all, they compared the genomes of 71 horses from a range of breeds and time periods.

The team focused on 266 places in the genomes. From these, nine genes showed strong signatures of have been selected, or altered. That suggests the traits these genes produced in the horses may have been targeted by human breeders.

Two of these genes appear to have been heavily selected very early in horse taming.

Identical twins who were raised apart may have IQ differences similar to those of total strangers, according to new research. The findings suggest that variations in IQ may be less about genetics and more about schooling.

The heartbreaking separation of twin siblings is a rare occurrence, and only nine large group studies have been published to date.

In the past, researchers have concluded that identical twins raised apart have many matching traits, including similar IQs, suggesting that IQ (a sign of intelligence) is largely determined by nature, not nurture.

Not so fast, argue cognitive neuroscientist Jared Horvath and developmental researcher Katie Fabricant. These two have crunched the numbers again, and this time, they've included a key overlooked factor: schooling.

When the researchers divided 87 twin-pairs into groups based on similar and dissimilar schooling backgrounds, they found IQ differences across the spectrum.

The gaps in IQ scores grew in tandem with educational differences, the authors say, "enough to transcend specific teachers or peer groups."

Twins that were raised apart and who went to significantly different schools showed IQ patterns more similar to strangers (a roughly 15-point difference).

There were only 10 twin-pairs in the study with school experiences that met suitable criteria, making for a small sample size that places limits on the study's conclusions.

Researchers have discovered a way to speed up quantum error correction (QEC) by a factor of up to 100 — a leap that could significantly shorten the time it takes quantum computers to solve complex problems.

The technique, called algorithmic fault tolerance (AFT), restructures quantum algorithms so they can detect and correct errors on the fly, rather than pausing to run checks at fixed intervals.

In simulations, AFT reduced the time and computational effort spent on error correction by up to 100 times while still maintaining accuracy, according to scientists at QuEra. The results, published Sept. 24 in the journal Nature, were based on tests run on a simulated neutral-atom quantum computer.

Have you ever used artificial intelligence (AI) in your job without double-checking the quality or accuracy of its output? If so, you wouldn't be the only one.

Our global research shows a staggering two-thirds (66%) of employees who use AI at work have relied on AI output without evaluating it.

This can create a lot of extra work for others in identifying and correcting errors, not to mention reputational hits. Just this week, consulting firm Deloitte Australia formally apologized after a A$440,000 report prepared for the federal government had been found to contain multiple AI-generated errors.

Against this backdrop, the term "workslop" has entered the conversation. Popularized in a recent Harvard Business Review article, it refers to AI-generated content that looks good but "lacks the substance to meaningfully advance a given task."

Beyond wasting time, workslop also corrodes collaboration and trust. But AI use doesn't have to be this way. When applied to the right tasks, with appropriate human collaboration and oversight, AI can enhance performance. We all have a role to play in getting this right.

The rise of AI-generated 'workslop'
According to a recent survey reported in the Harvard Business Review article, 40% of US workers have received workslop from their peers in the past month.

The survey's research team from BetterUp Labs and Stanford Social Media Lab found on average, each instance took recipients almost two hours to resolve, which they estimated would result in US$9 million (about A$13.8 million) per year in lost productivity for a 10,000-person firm.

Those who had received workslop reported annoyance and confusion, with many perceiving the person who had sent it to them as less reliable, creative, and trustworthy. This mirrors prior findings that there can be trust penalties to using AI.

Invisible AI, visible costs
These findings align with our own recent research on AI use at work. In a representative survey of 32,352 workers across 47 countries, we found complacent over-reliance on AI and covert use of the technology are common.

While many employees in our study reported improvements in efficiency or innovation, more than a quarter said AI had increased workload, pressure, and time on mundane tasks. Half said they use AI instead of collaborating with colleagues, raising concerns that collaboration will suffer.

Making matters worse, many employees hide their AI use; 61% avoided revealing when they had used AI and 55% passed off AI-generated material as their own. This lack of transparency makes it challenging to identify and correct AI-driven errors.

What you can do to reduce workslop
Without guidance, AI can generate low-value, error-prone work that creates busywork for others. So, how can we curb workslop to better realize AI's benefits?
If you're an employee, three simple steps can help.

1. Start by asking, "Is AI the best way to do this task?" Our research suggests this is a question many users skip. If you can't explain or defend the output, don't use it
2. If you proceed, verify and work with AI output like an editor; check facts, test code, and tailor output to the context and audience
3. When the stakes are high, be transparent about how you used AI and what you checked to signal rigor and avoid being perceived as incompetent or untrustworthy.

A newly developed approach could significantly improve how blood pressure readings taken at the ankle are interpreted, offering a vital solution for people who are unable to have their blood pressure measured on the arm.

Researchers at the University of Exeter Medical School have created a personalized predictive model designed to estimate arm blood pressure more accurately using ankle readings. The study, published in BMJ Open and funded by the National Institute for Health and Care Research (NIHR), analyzed data from more than 33,000 individuals worldwide. The team has also launched an online calculator to help both healthcare professionals and patients make sense of ankle readings with greater precision.

High blood pressure affects more than one billion people across the globe and is a leading contributor to heart disease, stroke, and kidney problems. Because of these risks, ensuring that blood pressure is measured and interpreted correctly is crucial. In most cases, the arm is used for these measurements, but for some people—such as those with disabilities, missing limbs, or movement difficulties after a stroke—this isn’t possible.

In such situations, measurements can be taken at the ankle. However, ankle readings tend to be higher than those from the arm, and since current treatment guidelines are based solely on arm measurements, this difference can make accurate diagnosis difficult and increase the likelihood of errors.

New research coordinated by the European Broadcasting Union (EBU) and led by the BBC has found that AI assistants – already a daily information gateway for millions of people – routinely misrepresent news content no matter which language, territory, or AI platform is tested.

The intensive international study of unprecedented scope and scale was launched at the EBU News Assembly, in Naples. Involving 22 public service media (PSM) organizations in 18 countries working in 14 languages, it identified multiple systemic issues across four leading AI tools.

Read the News Integrity in AI Assistants Report
Read the News Integrity in AI Assistants Toolkit

Professional journalists from participating PSM evaluated more than 3,000 responses from ChatGPT, Copilot, Gemini, and Perplexity against key criteria, including accuracy, sourcing, distinguishing opinion from fact, and providing context. 

Key findings: 
• 45% of all AI answers had at least one significant issue.
• 31% of responses showed serious sourcing problems – missing, misleading, or incorrect attributions.
• 20% contained major accuracy issues, including hallucinated details and outdated information.
• Gemini performed worst with significant issues in 76% of responses, more than double the other assistants, largely due to its poor sourcing performance.
• Comparison between the BBC’s results earlier this year and this study show some improvements but still high levels of errors.

Why this distortion matters
AI assistants are already replacing search engines for many users. According to the Reuters Institute’s Digital News Report 2025, 7% of total online news consumers use AI assistants to get their news, rising to 15% of under-25s.

‘This research conclusively shows that these failings are not isolated incidents,’ says EBU Media Director and Deputy Director General Jean Philip De Tender. ‘They are systemic, cross-border, and multilingual, and we believe this endangers public trust. When people don’t know what to trust, they end up trusting nothing at all, and that can deter democratic participation.’

Peter Archer, BBC Programme Director, Generative AI, says: ‘We’re excited about AI and how it can help us bring even more value to audiences. But people must be able to trust what they read, watch and see. Despite some improvements, it’s clear that there are still significant issues with these assistants. We want these tools to succeed and are open to working with AI companies to deliver for audiences and wider society.’

Congestion and pollution in Earth orbit is quickly getting worse. We need to be able to quantify how our behaviour will impact the orbital environment in the future...
esa.int/Space_Safety/S…

Lead exposure from modern chemical pollution is a well-documented threat to neurodevelopment and general health, yet a surprising new study reveals that this toxic heavy metal has, in fact, been impacting human evolution for more than two million years. What’s more, using lab-grown mini-brains, the study authors revealed that Homo sapiens is far more resistant to the effects of lead poisoning than the Neanderthals, which could explain why we thrived while our sister lineage became extinct.

In recent centuries, our main contact with lead has come via plumbing, paints, gasoline, and other industrial sources, leading to the assumption that the toxin only became a hazard at the onset of the modern era. However, after analyzing 51 teeth from fossilized ancient hominins and great apes – including early species like Paranthropus and Australopithecus africanus – the researchers found that lead exposure was in fact ubiquitous across Africa, Europe, and Asia throughout millions of years of human history.

Specifically, “lead bands” observed in tooth enamel suggest that the specimens all came into contact with the heavy metal during their childhoods, probably through volcanic dust, contaminated water or soil, and as a result of stress and illness, which can cause the body to release its own stores of lead.

“Our data show that lead exposure wasn’t just a product of the Industrial Revolution - it was part of our evolutionary landscape,” said study author Professor Renaud Joannes-Boyau in a statement. “This means that the brains of our ancestors developed under the influence of a potent toxic metal, which may have shaped their social behaviour and cognitive abilities over millennia.”

To learn more about how the toxin affected prehistoric hominins, the researchers turned their attention to a gene called NOVA1, which encodes a protein known to regulate gene expression in the brain in response to lead exposure. Previous studies have shown that modern humans possess a variant of this gene that differs from the archaic version expressed by Neanderthals, although the evolutionary pressures leading to the selection of the modern form have until now remained unclear.

The study authors therefore grew miniature brain organoids in a laboratory, which they then subjected to lead exposure. Following contamination, organoids possessing the Neanderthal variant of NOVA1 exhibited disruptions to a key gene called FOXP2 within neurons that are associated with speech and language development.

Nearly 8 in 10 people living in multidimensional poverty—887 million out of 1.1 billion globally—are directly exposed to climate hazards such as extreme heat, flooding, drought, or air pollution.

The 2025 Global Multidimensional Poverty Index (MPI), noscriptd "Overlapping Hardships: Poverty and Climate Hazards" and released just ahead of COP30 climate summit in Brazil, presents critical new evidence of how the climate crisis is reshaping global poverty. By overlaying climate hazard data with multidimensional poverty data for the first time, the findings reveal a world where poverty is not just a standalone socio-economic issue but one that is deeply interlinked with planetary pressures and instability.

Exposure to climate hazards likely exacerbates the daily challenges faced by people living in poverty, reinforcing and deepening their disadvantages. The report finds that among those assessed to be living in acute multidimensional poverty—spanning health, education, and living standards—an overwhelming 651 million endure two or more climate hazards, while 309 million face three or four hazards simultaneously.

"Our new research shows that to address global poverty and create a more stable world for everyone, we must confront the climate risks endangering nearly 900 million poor people," said Haoliang Xu, UNDP Acting Administrator. "When world leaders meet in Brazil for the Climate Conference, COP30, next month, their national climate pledges must revitalize the stagnating development progress that threatens to leave the world's poorest people behind."

The burden of concurrent poverty and climate hazards
The findings emphasize that poor people globally are often confronting multiple, concurrent environmental challenges rather than a single one in isolation.

• Of the 887 million poor people exposed to at least one climate hazard, 651 million face two or more concurrent hazards.

• Alarmingly, 309 million poor people live in regions exposed to three or four overlapping climate hazards while experiencing acute multidimensional poverty. These individuals face a "triple or quadruple burden," often possessing limited assets and minimal access to social protection systems, amplifying the negative effects of the shocks.

• Individually, the most widespread hazards affecting poor people globally are high heat (608 million) and air pollution (577 million). Flood-prone regions are home to 465 million poor people, while 207 million live in areas affected by drought.

"This report shows where the climate crisis and poverty are notably converging. Understanding where the planet is under greatest strain and where people face additional burdens created by climate challenges is essential to creating mutually reinforcing development strategies that put humanity at the center of climate action," said co-author, Sabina Alkire, Director of the Oxford Poverty and Human Development Initiative.