Making sense of a chaotic planet: How understanding weather and climate risks depends on supercomputers like NCAR’s

Source: The Conversation – USA (2) – By Antonios Mamalakis, Assistant Professor of Data Science and Environmental Science, University of Virginia

Have you ever stopped to wonder how forecasters can predict the weather days in advance, or how scientists figure out how the climate might evolve under different policies?

The Earth system is a vast web of intertwined processes, from microscopic chemical reactions to towering storms. Ocean currents circulating deep in the Atlantic, forests exchanging carbon with the atmosphere, and humans altering the composition of the air all have effects that ripple through the system. These processes are governed by physical laws, such as conservation of mass, energy and momentum.

All of this plays out on such a large scale that no single human mind can truly grasp it in full. And yet, the system is so sensitive that a small perturbation, given enough time, can steer its trajectory in a dramatically different direction. This sensitivity is called “chaos,” also known as the “butterfly effect.” The planet is, at once, immense and delicate.

Despite this complexity and scale, scientists are able to simulate and anticipate how the climate will change.

How is this even possible? Behind the long-term climate projections that affect our lives sits one of the most remarkable scientific achievements of the modern era: climate models that run on supercomputers.

I am a climate data scientist. My colleagues and I try to understand extreme weather and long-term climate risks by using virtual versions of Earth inside these machines.

What a climate model really is

Here is the simplest way to picture a climate model:

Imagine dividing the entire planet into 3D boxes. At the surface, each box might represent an area 50 to 100 kilometers across. Then we stack boxes upward into the atmosphere and downward into the oceans to create a 3D grid wrapping around the globe.

Each box contains numbers: temperature, wind speed, humidity, sea ice thickness, soil moisture and hundreds of other variables. The model contains mathematical expressions that describe how these variables influence one another: how heat moves, how air rises and sinks, how moisture condenses into clouds, how the ocean absorbs and redistributes energy.

A globe with boxes around it and a close-up of some calculations taking place in one of those boxes.
Climate models are systems of differential equations based on the basic laws of physics, fluid motion and chemistry. They divide the planet into a 3D grid, apply the equations and evaluate the results. Within these models, the atmosphere component, for example, calculates winds, heat transfer, radiation, relative humidity and surface hydrology.
NOAA

We then let the model march forward in time, solving the math and updating every variable in every box. Then again. And again.

Now scale that up. Millions of grid boxes. Hundreds of variables per box. Calculations carried out millions of times to simulate decades or even centuries.

And because the system is chaotic, we do not run the model just once. We run it many times with slightly different initial conditions – what scientists call an ensemble – to make sure the result is in fact a true system response to the considered scenario, such as warming temperatures due to increased emissions, and not an effect of chaos.

The result is an astronomical number of calculations. Performing them requires computers capable of executing quadrillions of operations per second – what are known as petaflop-scale supercomputers. A petaflop equals 1 quadrillion – 1,000,000,000,000,000 – calculations per second!

From simulation to real-world decisions

These simulations inform decisions that affect everyday life: how high to elevate homes in flood-prone areas, how to design power grids resilient to prolonged heat waves, how to manage water resources during drought.

Urban planners, engineers, emergency managers and policymakers all rely on information derived from these models.

Dozens of major climate models have been developed around the world by universities, national laboratories and government agencies. Each modeling center builds its own code, makes its own physical assumptions, chooses its own grid resolution and operates its own supercomputing systems. Through international efforts such as the Coupled Model Intercomparison Project, modeling centers agree on common experiments: the same greenhouse gas scenarios and the same volcanic eruptions, for example.

When you hear that extreme rainfall is projected to intensify in a warmer world, or that the Arctic Ocean could become seasonally ice-free within decades, those conclusions are not the result of calculations carried out by a single scientist, a single team of scientists, or even a single model run. They emerge from dozens of independently developed models, run on room-sized supercomputers, under pre-agreed and carefully coordinated experiments.

A map created by an ensemble with multiple computer models shows areas of agreement.
In this example of the use of multiple models, areas in color and without hashmarks indicate regions with high agreement among models, where more than 80% of the models agree on the signs of change. The projections for annual maximum daily precipitation change were made using the Multi-model Coupled Model Intercomparison Project Phase 5 (CMIP5).
IPCC

This global collaboration is one of the reasons scientists know so much about climate change. These shared simulations allow scientists around the world to test hypotheses and explore future risks based on models’ consensus.

It is no surprise that the 2021 Nobel Prize in physics recognized pioneers of climate modeling. These models fundamentally transformed humanity’s ability to understand a complex planet.

There is no alternative way to answer “what if” questions about the future climate system. What happens if carbon dioxide doubles? What if emissions decline rapidly? What if a major volcanic eruption injects aerosols into the stratosphere? Because the climate system is so complex, and forces can push it outside the range of historical experience, the past is no longer a reliable guide to the future. So statistical models aren’t enough.

Artificial intelligence cannot replace this foundation either. AI has made impressive progress in short-term weather prediction, learning patterns from vast historical datasets, and producing forecasts with remarkable speed.

But climate projections require extrapolating to conditions the planet has not experienced in modern history – such as higher greenhouse gas concentrations. AI can accelerate simulations and analyze massive amounts of data today, but it cannot replace solving the physical equations that govern the system.

National supercomputing centers are essential

In the United States, major climate modeling efforts have been supported by national laboratories and federal centers, including NASA and the National Center for Atmospheric Research, or NCAR, along with a few research universities.

At NCAR, scientists developed the Community Earth System Model, a comprehensive climate model that’s arguably one of the best models to date and is used by researchers across the country and around the world to study climate change, severe weather, climate effects on wildfires, and atmospheric patterns. It has helped position the United States at the forefront of climate science and enabled the global research community to tackle some of the most pressing challenges of our time.

Running large ensembles with this model requires powerful hardware, data storage systems capable of handling petabytes of output, and engineers who keep these systems operational. This is not a matter of downloading and running a program on a laptop. It is a national-scale scientific enterprise that makes NCAR and its supercomputer essential.

In a warming climate, the stakes are high. The ability to simulate the Earth system at scale is one of the most powerful tools humanity has to prepare for the risks ahead.

The Conversation

Antonios Mamalakis 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. Making sense of a chaotic planet: How understanding weather and climate risks depends on supercomputers like NCAR’s – https://theconversation.com/making-sense-of-a-chaotic-planet-how-understanding-weather-and-climate-risks-depends-on-supercomputers-like-ncars-276376

How protecting wilderness could mean purposefully tending it, not just leaving it alone

Source: The Conversation – USA (2) – By Clare E. Boerigter, Wilderness Fire Research Fellow at the Aldo Leopold Wilderness Research Institute, Rocky Mountain Research Station, United States Forest Service

A rare prescribed fire in a wilderness area burns in the Scapegoat Wilderness in Montana in 2011. Michael A. Munoz, CC BY-NC-ND

More than 110 million acres of land across the U.S. are protected in 806 federally designated wilderness areas – together an area slightly larger than the state of California. For the most part, these places have been left alone for decades, in keeping with the 1964 Wilderness Act’s directive that they be “untrammeled by man.”

But in a time when lands are experiencing the effects of climate change and people are renewing their understanding of Indigenous knowledge and stewardship practices, protecting these places may require action, not inaction.

New Mexico’s Gila Wilderness, where the Chihuahuan Desert converges with the Rocky Mountains, was the first to receive a formal wilderness designation in 1924. Now, all but six U.S. states contain wilderness. In Minnesota, the Boundary Waters Canoe Area Wilderness protects more than a thousand lakes and several hundred miles of streams. In Florida, the marshes and saltwater bays of the Marjory Stoneman Douglas Wilderness are home to flamingos, manatees and alligators.

These diverse ecosystems are the country’s most protected lands, where human activity is severely restricted. Federal regulations exclude resource extraction such as logging and mining; developments such as the building of roads and structures; low-level overflights by planes and helicopters; and mechanized equipment such as chain saws. People can walk, ride horses, canoe, fish and camp temporarily in these areas, but that’s about it.

Yet, research my colleagues and I have conducted indicates that this approach can make it difficult to address two of the biggest challenges facing wilderness.

First, the dominant American ideal of wilderness – as wildlands that flourish best in the absence of human management – conflicts with the growing understanding that many wilderness areas were and remain part of the ancestral homelands of Indigenous peoples, who in fact tended those lands for thousands of years.

And second, as climate change and other ecological stressors affect wilderness, some forms of human intervention could help sustain the very ecological qualities that led to these areas being so strictly protected.

A view of rolling hills with low vegetation.
Repeated severe fires have changed what was once a forest into a shrubfield in the Dome Wilderness in New Mexico.
Jonathan Coop, CC BY-NC-ND

Indigenous influence on landscapes

Many wilderness areas have long histories as homelands where Indigenous peoples lived, hunted and gathered.

In Alaska, the Inland Dena’ina people marked vast trail networks by physically modifying trees, including by scarring bark and cutting limbs. Many of these marked trees can be found within Lake Clark National Park, two-thirds of which is designated wilderness.

In Washington’s Indian Heaven Wilderness, Northwest tribes gathered to pick and then burn the area’s huckleberry fields, a practice that increased the abundance of both plants and berries.

In the Southwest, Indigenous peoples bred six species of agave plants to be more palatable than wild agaves; researchers have found four of these domesticated species in six wilderness areas.

These lands may seem wild to some, but as Indigenous ecologists Robin Wall Kimmerer and Frank Kanawha Lake observed in 2001, “Every landscape reflects the history and culture of the people who inhabit it.”

An aerial view of a landscape of standing dead tree trunks.
The Castle Fire in California’s Sierra Nevada in 2020 killed roughly 10% of the world’s population of sequoia trees.
Curtis Kvamme, CC BY-NC-ND

Ecological stressors intensify

The Wilderness Act’s strict rules are not able to protect wilderness areas in the U.S. from new and unprecedented ecological stressors.

For instance, many wilderness areas are experiencing uncharacteristically severe wildfires. These events are a result of climate change, fire suppression and the prevention of traditional Indigenous forest management practices, including burning. Together, those forces have resulted in large-scale disruptions of historical cycles of fire, in which wildfires were often more frequent but less severe.

Scholars recognize prescribed burning as an effective strategy to protect forests from catastrophic fires, though it remains controversial in wilderness as human intervention. Government policy allows lightning-ignited wildfires to burn in federal wilderness areas in certain circumstances, but most of these fires are still suppressed – a human intervention that is widely accepted.

In California’s Sequoia-Kings Canyon and John Krebs wilderness areas, recent intense wildfires have killed unprecedented numbers of giant sequoias, a species that historically thrived because of more frequent, less-intense fires. The 2020 Castle Fire is estimated to have killed between 7,500 and 10,600 large sequoias – or 10% to 14% of all sequoias in the Sierra Nevada – many of them in wilderness.

In New Mexico’s Dome Wilderness, repeated intense fires have killed entire forests, transforming these lands into shrublands. Models indicate that up to 30% of forested landscapes in the Southwest are vulnerable to this type of change.

A dark black tree trunk stands amid green plants and pink and purple flowers.
A fire-blackened tree stands in the Selway-Bitterroot Wilderness in Idaho and Montana, one of the few wilderness areas that allows many lightning-ignited fires to burn, with careful oversight and management by firefighters and land managers.
Mark Kreider, CC BY-NC-ND

The absence of fire can also be a problem for wilderness ecosystems. In the Boundary Waters Canoe Area Wilderness, researchers anticipate a significant decline in the area’s pine-dominated forests unless fire is reintroduced – with the potential for these forests to disappear within 150 years.

Helping fire resume its natural role on the landscape – through prescribed burning or letting natural fires burn, overseen by firefighters and land managers – isn’t easy. Tree-ring histories and archaeological, paleoecological and ethnographic records show that frequent burning of resting areas and campsites by the Anishinaabe people along commonly traveled waterways helped create the Boundary Waters’ open red pine forests. But the wilderness-protection group Wilderness Watch says that prescribed burning by federal land managers today constitutes “a prime example of humans imposing their will on Wilderness to try to create managers’ desired conditions rather than allowing nature to shape the area.”

And fire isn’t the only concern. A combination of climate change, invasions by a nonnative fungus called white pine blister rust and outbreaks of mountain pine beetles have led to whitebark pines’ listing as a threatened species. An iconic tree that can live between 500 and 1,000 years, whitebark pines are common in high-elevation wilderness areas in the West, where they provide key habitat and food for wildlife, help regulate snowmelt and reduce soil erosion.

For the Confederated Salish and Kootenai Tribes, whitebark pines are culturally significant, with their seeds serving as an important traditional food. The tribes have declared they feel a responsibility “to do all that we can to ensure the survival of this beautiful and ancient tree,” and developed a restoration plan for the Flathead Reservation in Montana, which includes the Mission Mountains Tribal Wilderness. But in federal wilderness, their approach – active tending through prescribed fire and replanting – would likely not be allowed.

Smoke climbs above a wooded mountainside, with higher peaks in the background.
A lightning-ignited fire in 2022 in the Stephen Mather Wilderness in Washington is allowed to burn, with oversight and intervention as needed by federal land managers and firefighters.
Cedar Drake, CC BY-NC-ND

Reimagining federal wilderness management

Within tribal wildernesses, Indigenous nations honor spiritual connections between people and the land through relationships of reciprocity, as seen in the Mission Mountains Tribal Wilderness. There, members of the Confederated Salish and Kootenai Tribes are guaranteed the right not only to use the resources by hunting and fishing but also to connect with the landscape through cultural, spiritual and religious practices.

In recent years, managers at several federal wilderness areas have worked to include tribes in decisions about how these lands are stewarded. In California, a 2021 agreement gives the Federated Indians of Graton Rancheria a voice in the management of native tule elk at Tomales Point, most of which is part of the Phillip Burton Wilderness. In 2024, after pressure from the tribal community and others, the National Park Service began removing a 2-mile-long fence that prevented the tule elk from roaming freely and introduced new signs and interpretive programs that incorporated traditional ecological knowledge.

The long-debated question of how to best steward wilderness is increasingly urgent. In addition to its “untrammeled by man” provision, the Wilderness Act also says wilderness areas should be “protected and managed so as to preserve (their) natural conditions.” So the question remains whether people should leave small slices of nature entirely alone, even as humans alter the conditions of the planet, or whether some careful actions could help protect these precious places for generations to come.

Sean Parks, Jonathan Long, Jonathan Coop, Serra Hoagland, Melanie Armstrong and Don Hankins contributed to this article.

The Conversation

Clare E. Boerigter receives funding from the USDA Forest Service.

– ref. How protecting wilderness could mean purposefully tending it, not just leaving it alone – https://theconversation.com/how-protecting-wilderness-could-mean-purposefully-tending-it-not-just-leaving-it-alone-272412

From moral authority to risk management: How university presidents stopped speaking their minds

Source: The Conversation – USA (2) – By Austin Sarat, William Nelson Cromwell Professor of Jurisprudence and Political Science, Amherst College

A growing number of colleges and universities have adopted policies in the last few years to remain politically neutral. kid-a/iStock / Getty Images Plus

Throughout the 20th century, college and university presidents spoke out on everything, from wars to civil rights struggles, with a sense of moral authority attempting to guide the course.

Their language was typically direct and free of jargon.

“Democracy is the best form of government. It is worth dying for,” Robert M. Hutchins, president of the University of Chicago, said during a June 1940 convocation address, a year and a half before the U.S. formally entered World War II.

Since 2023 and the start of the Israel-Hamas war, a growing number of university and college presidents have remained silent on politics. Others have used ambiguous language that makes them seem like “neutral bureaucrats,” as Wesleyan University President Michael S. Roth wrote in 2023.

Nearly 150 universities adopted “institutional neutrality” pledges from 2023 through the end of 2024. This coincided with university leaders responding to Palestinian rights protests on their campuses.

This kind of neutral approach was on display in December 2023, when Republican Congresswoman Elise Stefanik asked several university presidents during a House of Representatives committee hearing if “calling for the genocide of Jews” would violate their schools’ rules.

The presidents of Massachusetts Institute of Technology, Harvard University and the University of Pennsylvania all answered vaguely, with hesitation.

“If the speech turns into conduct it can be harassment, yes,” said Elizabeth Magill, then president of University of Pennsylvania. “It is a context-dependent decision, Congresswoman,” she continued.

Hedging, evading and speaking in platitudes has become the order of the day for university leaders, who are facing political and financial pressure under the Trump administration. Their communication style seems scripted by lawyers and communications officials, who are tasked with trying to keep universities out of trouble.

My scholarship on language and rhetoric suggests that how people speak – not just what they say – matters. This is especially true for university presidents and others in leadership positions.

A row of four women dressed formally are seen sitting at a table together.
Liz Magill, former president of the University of Pennsylvania, center left, is seen with other university presidents during a House Education and Workforce Committee hearing in December 2023.
Kevin Dietsch/Getty Images

Moral leadership in higher education

In 1921, Alexander Meiklejohn, then president of Amherst College, understood the importance of speaking on moral and political issues. He spoke out forcefully during a raging national controversy – namely, how the U.S. should respond to rising numbers of immigrants.

Calvin Coolidge, an Amherst grad and then vice president of the U.S., was among the political leaders who advocated for an immigration quota system favoring northern Europeans over immigrants from southern Europe or Asia.

Coolidge backed xenophobic immigration policies in 1921, then writing: “There are racial considerations too grave to be brushed aside for any sentimental reasons. Biological laws tell us that certain divergent people will not mix or blend.”

Meiklejohn opposed immigration quotas, and he publicly said in 1921 that America could either “be an Anglo-Saxon aristocracy of culture or a Democracy,” but not both.

One year after he became president, Coolidge made his choice when he signed the Immigration Act into law in 1924. This law created strict immigration quotas, dependent on people’s nationality, and barred people from Asia from entering the U.S.

College presidents oppose the Vietnam War

Decades later, university presidents like Kingman Brewster Jr. at Yale and Theodore Hesburgh at Notre Dame publicly opposed the U.S. becoming involved in the Vietnam War – without hesitation or legalistic qualifiers.

“We cannot urge students to have the courage to speak out unless we are willing to do so ourselves,” Hesburgh said in 1970.

In 1971, Brewster publicly criticized the U.S. attacks on Southeast Asia, saying the bombings showed that “America had no concern for the sanctity of human life.”

His views made headlines in The New York Times and attracted the ire of Vice President Spiro Agnew, who criticized him in several speeches.

Twenty-five years later, Howard Shapiro, at the time the president of Princeton University, praised the vocal, “moral” leadership that Brewster and Hersburgh showed.

He noted: “There was a time when great figures presided over our nation’s campuses – intellectual giants who led their faculty, students, alumni, trustees, and nation with grace, vision, and moral purpose.”

Risk management takes center stage

Current university presidents who are choosing neutral and cautious approaches to political issues have reason to watch what they say.

The Trump administration has made widespread cuts to university funding, pressured schools into deals to restore their funding, and launched investigations into several schools for civil rights violations.

Others in higher education leadership roles have seen how the presidents of Harvard and the University of Pennsylvania dramatically resigned in 2023 amid widespread criticism over their response to campus protests and reports of antisemitism.

The presidents of Columbia University and the University of Virginia also resigned in 2024 and 2025, respectively.

When university presidents do speak publicly on the Trump administration’s cuts to research funding and resulting job losses on their campuses, their language is rife with ambiguity and familiar slogans.

Princeton President Christopher Eisgruber, for example, assured Princeton’s community in a February 2026 letter that “We will sustain our commitments to excellence in teaching and research … and our other defining values.”

“As always, we will be guided by the values and principles set out in the University’s mission statement and strategic framework,” Eisgruber added.

Other prominent university and college presidents, meanwhile, write phrases like “sustaining our capacity” or make a promise to “do everything I can to ensure we continue to live by our values.”

These words sound good, but, to me at least, ultimately mean nothing.

It matters what college presidents say

It is hard to disentangle the full influence that college and university presidents have, and why what they say matters.

A 2001 survey by the American Council on Education found that “the vast majority of Americans rarely hear college presidents comment on issues of national importance, and when they do, they believe institutional needs rather than those of the students or the wider community drive such comments.”

Today, the same seems to be true.

Their choices about when and how to speak are important because, as law professor James Boyd White writes, what people say and write “helps establish an identity, or what the Greeks called an ethos – for oneself, for one’s audience, and for those one talks about.”

On college campuses and beyond, leaders’ words create “a community of people, talking to and about each other,” according to White.

That is never an easy job.

But, as Wesleyan University President Roth noted, it is always an important one, especially in a place like a university.

The Conversation

Austin Sarat 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. From moral authority to risk management: How university presidents stopped speaking their minds – https://theconversation.com/from-moral-authority-to-risk-management-how-university-presidents-stopped-speaking-their-minds-276581

Pittsburgh nurses are fighting for better staffing ratios — and the research backs them up

Source: The Conversation – USA (3) – By Anna Mayo, Assistant Professor of Organizational Behavior, Carnegie Mellon University

New York nurses went on strike in January 2026, protesting unsafe staffing levels while demanding better patient safety, increased wages, improved working conditions and fairer contracts. Timothy A. Clary/AFP via Getty Images

Since nursing contract negotiations heated up in January 2026 at UPMC Magee-Womens Hospital in Pittsburgh and at UPMC Altoona, the debate shifted from standard wage disputes to a more fundamental question of patient safety: the nurse-to-patient ratio.

The New York State Nurses Association’s approach has become a primary blueprint for nursing labor strategy nationwide. By framing staffing ratios as a nonnegotiable safety standard, NYSNA shifted the focus of contract negotiations from simple wage increases to enforceable clinical mandates. In January, the new union held its first meeting with UPMC management to negotiate a contract. At the time of publication of this article, the NYSNA and the New York-Presbyterian/Columbia hospital had reached a tentative deal, though the provisions of the agreement have not been made public.

In fall 2025, 900 nurses at UPMC’s main hospitals in Pittsburgh voted to be represented by the Service Employees International Union, or SEIU.

Anna Mayo, assistant professor of organizational behavior at Carnegie Mellon University, explains the workload and staffing concerns that nurses face both in Pittsburgh hospitals and nationwide.

What are the key concerns in the nursing contract negotiations at Magee?

One big concern relates to nurse staffing, and specifically the nurse-to-patient ratio. Other issues include wages, health benefits, parental and sick leave, work hours and workplace violence mitigation measures. Magee is one of Pittsburgh’s biggest labor and delivery and neonatal centers, and nurses there say they’ve been working with what they describe as “unsafe patient loads.”

Magee nurses held a news conference in January 2026 advocating for more time with their patients by establishing minimum nurse-to-patient ratios. The main issue the nurses want resolved in their first collective bargaining agreement is a cap on how many patients a nurse can be assigned per shift. If Magee were to follow recommended industry standards set by the Association of Women’s Health, Obstetric and Neonatal Nurses, that would be one nurse assigned for every patient in active labor.

An outdoor building shot of UPMC Magee Women's Hospital.
UPMC Magee Womens Hospital is one of Pittsburgh’s biggest labor and delivery and neonatal centers.
AP Photo/Gene J. Puskar

Is there evidence linking nursing staffing levels to patient outcomes like mortality, infections or readmissions?

The short answer is yes. There is general agreement that having “safe” nursing staffing levels is related to better patient outcomes, but what exactly constitutes safe staffing is less clear.

These ratios commonly account for a nurse’s workload based on both numbers of patients and patient acuity – a measure of how much time a nurse needs to spend with a patient. Relevant patient factors include the severity of the case and need for medication or other interventions, patient mobility and status as a new admission or being close to discharge. Factors like a nurse’s experience level and the floor layout might also be considered in a measure of acuity. For example, patients who are farther away from each other can require more time for one nurse to monitor.

Even with advances in the use of artificial intelligence and electronic health record data to generate real-time predictions of acuity, current modeling is imperfect.

A 2025 study shows that how busy a nurse feels is often more important than the number of patients they have or current estimates of how much care those patients require. Even if the official numbers look OK, a nurse’s personal experience of the workload is a better predictor of whether they will miss a care task. Because there is not yet a clear and agreed-upon way to measure this, nurses and hospital leadership – who view the problem from their distinct positions – often disagree on what safe staffing actually looks like, which can lead to conflict.

A group of Black nurses gather around a smartboard patient chart.
Having safe staffing is better for patient outcomes, but the definition of ‘safe’ varies at each hospital.
Visual Vic/Moment Collection via Getty Images

As someone who studies the coordination of health care teams, I see a missing piece in the conversation about nurse staffing: the rest of the team. This could include other medical providers, therapists, dietitians, social workers and diagnostic staff.

In reality, you could have two nurses in the same unit with the same number of patients who appear to need the same amount of care. But one might be overtaxed while the other is doing fine, at least in part because of how the broader patient care teams are structured and working together.

When nursing units are understaffed, what happens to other health care workers on their team?

Evidence about understaffing and use of replacement workers is largely focused on patient outcomes, and it is mixed. One 2022 meta-analysis found no difference in patient outcomes during or outside of health care worker strikes. However, a research study using data from New York that focused on nursing strikes specifically suggests an increased risk of both mortality and readmission.

Research on health care teams, though, suggests there is also risk for teamwork breakdowns. Having replacement workers during a strike inherently creates patient care teams where team members haven’t worked together before. This lack of shared experience can negatively affect teamwork.

Are there any solutions?

Negotiations research suggests the key to conflict management is to understand the other party’s underlying interests. Nurses are clearly burnt out, and that should be taken seriously. However, accounting for the bigger picture – staffing decisions at the team level – could reduce the stress on nurses.

Three nurses work on patient charts outside patient rooms in a hospital.
The use of temporary replacement nurses when hospitals are understaffed is a common tactic.
David L. Ryan/The Boston Globe via Getty Images

For instance, how care teams are grouped can have serious implications as well. A nurse’s experience will depend on how difficult and time-consuming it is to coordinate and care for each patient. If a nurse has three patients and three different care teams instead of the same care team for all patients, the coordination costs are more burdensome.

There is some evidence of the benefits of team-based staffing in primary care and emergency departments. It could mitigate how drastic the difference in a nurse’s workload feels when comparing a load of one patient to two, three, and so on. Additionally, my research suggests low-cost interventions that spark increased nurse involvement can improve team coordination and patient outcomes, and so might also be a useful lever for affecting a nurse’s felt workload.

Looking at how patient care teams work together – instead of just focusing on nurses – might reveal new ways to help patients and staff. Solving these problems could reduce the need for strikes or protests in the first place and help hospital leaders better support their employees, their patients and the organization as a whole.

The Conversation

Anna Mayo 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. Pittsburgh nurses are fighting for better staffing ratios — and the research backs them up – https://theconversation.com/pittsburgh-nurses-are-fighting-for-better-staffing-ratios-and-the-research-backs-them-up-274577

The cost of casting animals as heroes and villains in conservation science

Source: The Conversation – USA (3) – By Adam Meyer, PhD Candidate in Ecosystem Ecology, Memorial University of Newfoundland

When species are described as ‘destructive’ or ‘harmful’ without sufficient context, it can shape how people perceive and treat them. Beata Whitehead/Moment via Getty Images

Scientists are philosophers, explorers, data collectors and number crunchers. They are also storytellers, placing data within a broader scientific and societal context. How they tell these stories matters.

In our work as ecologists, we find that the “hero-villain” narrative trope is a popular tool in ecology and conservation writing. For example, wild pigs – a hybrid of human-introduced wild boars and domesticated pigs – are often characterized in science articles as “pest animals” that “devastate” or “destroy” ecological communities by preying on “vulnerable” species. One study deemed them the real “big bad wolf.”

This framing does not reflect technical terms but storytelling decisions meant to help readers understand the data and results to come.

But this way of storytelling has costs. In our recent paper, Beyond hero and villain narratives in ecology and conservation science, published in 2025 in the journal BioScience, we demonstrate that simplifying complex ecological stories into good guys and bad guys is limiting the way ecologist and conservation scientists understand and communicate science.

When villains don’t fit the script

In our paper, we show that using the hero-villain trope in ecology and conservation writing has three problems.

First, by definition, a villain is not only doing bad but is morally bad. As a result, villains are judged and held accountable for their deeds. But plants, animals and ecosystems are not morally responsible for their actions because they do not operate within human-constructed moral frameworks. The hero-villain trope therefore invites an inappropriate moral interpretation of nature.
When species are reported as destructive or harmful without careful context, the audience can easily internalize the species as inherently “bad” or “malicious,” which informs how we treat them.

For example, human-introduced predators such as rats and stoats in New Zealand are often villainized in academic literature, described as “disaster on four paws” and pitted against the “fragile populations of unique birds, lizards and insects.”

This framing then can convince people that excessively painful or violent eradication methods, such as slow-acting poison, are justified.

No clear-cut roles

Second, real ecosystems don’t have clear-cut heroes or villains. Rather, species’ roles in ecosystems are complex. For example, white-tailed deer perform ecosystem functions such as helping disperse seeds throughout their habitat, yet their presence can also lead to biodiversity loss due to high levels of plant consumption.

Therefore, reducing a species to “good” or bad” can misrepresent the multidimensional roles of animals in ecosystems, which frequently shift.

An animals with a thick, shaggy coat, standing in a snow-covered landscape.
A musk ox can affect ecosystems in very different ways, depending on its environment.
imageBROKER/Martina Melzer via Getty images

For example, due to the complex interplay between animals and soil properties, in wet tundra environments musk ox can lead to an increase in ecosystem carbon storage, while in dry tundra environments they can lead to a decrease in ecosystem carbon storage.

‘Good’ or ‘bad’ depends on human values

Finally, the hero–villain framing embeds cultural and ethical assumptions without always acknowledging them. These assumptions often reflect culturally specific beliefs about which species and ecosystems are valued.

For instance, many cultures value native species – typically meaning a species that has evolved in and occupied an ecosystem without human introduction. As a result, introduced animals are frequently deemed responsible for native species extinctions, even when evidence is lacking.

But whether a species is “native” is not automatically good or bad. Nonnative species can change ecosystems in ways that people value, such as restoring ecosystem diversity and functioning that was lost from human-driven extinctions. At the same time, nonnative species can also cause changes that people do not value, such as reducing abundance of native species.

The key point is that deciding which of these outcomes is “good” or “bad” depends on human values. When scientists describe species as villains without explaining these values, the framing can present values as objective scientific conclusions.

A different way to tell the story

Our paper highlights alternative narrative structures that scientists can use to engage readers without creating heroes and villains in academic writing and storytelling.

For example, a place-based narrative structure focuses on the description of a place and the characters within – think “Planet Earth,” the BBC’s landmark nature documentary series that immerses viewers in different ecosystems around the world.
This narrative structure guides the audience through a landscape and allows for the exploration of many characters in a nuanced, value-neutral and compelling way. A classic ecological example is Henry Chandler Cowles’ study of the Michigan sand dunes, which frames ecological dynamics through the instability of place itself. “Perhaps no topographic form is more unstable than a dune,” Cowles wrote, as plants must adapt “within years rather than centuries, the penalty for lack of adaptation being certain death.” The drama within the narrative comes from place – its constraints, its pressures, its opportunities.

Another powerful narrative tool we highlight that can be applied to academic storytelling is the “Will they, or won’t they?” structure, the kind of tension you see in “Pride and Prejudice” or “When Harry Met Sally.” This structure can work surprisingly well in ecology.

In our paper, we highlight partial migration – whereby some animals in a population migrate while others don’t – as an example of how someone could use this narrative tool.

Scientists are still figuring out why certain individuals make different choices. Is it driven by food availability, the presence of predators, or behaviors acquired by social learning?

Framing research narratives around that central, unresolved question – will an individual animal migrate or won’t they? – builds suspense and keeps readers engaged, without casting a hero or villain.

There’s no final battle scene in conservation. No singular villain to defeat, no final victory for the hero. Scientists know that understanding nature requires humility and a willingness to revise their stories as new information is gained.

By moving beyond heroes and villains, scientists can tell narratives that make space for nuance, recognize their own biases, and acknowledge conflict without caricature.

The Conversation

Adam Meyer receives funding from the National Science and Engineering Research Council of Canada.

Kristy Ferraro receives funding from the Natural Sciences and Engineering Research Council of Canada.

– ref. The cost of casting animals as heroes and villains in conservation science – https://theconversation.com/the-cost-of-casting-animals-as-heroes-and-villains-in-conservation-science-263883

Net zero will transform Britain’s economy – our map reveals the most vulnerable places

Source: The Conversation – UK – By Ed Atkins, Senior Lecturer, School of Geographical Sciences, University of Bristol

Here’s an uncomfortable truth: even as Britain makes the welcome transition to net zero, some communities will lose jobs and face economic disruption. And the places most exposed are overwhelmingly the same places that were hit hardest by the wave of industrial job losses in the 1980s.

That’s the striking pattern revealed by our new research mapping vulnerability across all 365 local authorities in Great Britain. Many places already struggling after decades of industrial decline are poised to face disproportionately sharp economic shocks as decarbonisation reshapes the employment landscape.

Our research shows this pattern clearly: many of the highest-risk areas sit within what are often called “older industrial towns”. They include the boroughs of Kirklees (largest town Huddersfield) and Sandwell (West Bromwich), along with Wakefield, Rotherham, Walsall, Barnsley and Doncaster.

These communities were once anchored by industries such as steel, chemicals, heavy manufacturing and mining. As those sectors contracted from the 1980s onward, these places experienced deep job losses and long-term economic scarring.

Today, the same areas remain heavily reliant on manufacturing sectors that are once again undergoing radical change – this time driven by climate policy, alongside globalisation, tariffs and high energy costs. In these places, decarbonisation is colliding with existing economic forces, raising the risk of further job losses and industrial decline.

Why old industrial towns are at the sharp end

To map this exposure, we created a net-zero vulnerability index, a tool designed to identify which local economies are most exposed to job losses, restructuring and industrial change triggered by decarbonisation. We draw on measures of economic complexity (how diverse and adaptable a local economy is), relatedness (the ease with which industries can evolve into new ones), reliance on at-risk sectors, and working-age population.

A map of the net-zero vulnerability index:

A higher score indicates greater risk (shaded light green or yellow). Data can be arranged by: LAD, local authority districts; PCON, Westminster constituencies; LEP, local enterprise partnerships; CA, combined authorities. (Source: Tom Cantellow, Ed Atkins, Sean Fox)

What the index shows is not simply that these old industrial towns have carbon-intensive jobs. It shows that many have low economic complexity — meaning their local economies tend to be based on a small number of sectors and workers’ skills are less easily transferable to emerging industries.

For example, in North Lincolnshire, 25% of the working population are employed in manufacturing, compared to a national average of 7%, and often in chemicals or cement production or other high emissions industries. A reliance on these industries risks residents becoming locked into carbon-heavy work, and limits the diversity of skills needed to transition to newer and more green industries.

Places you might not expect

The findings also highlight less obvious cases. Rural and coastal authorities such as Shropshire, East Suffolk and Dorset rank highly because their economies rely on low-paid, less complex sectors — including hospitality, retail and seasonal work — which offer limited resilience to broader shocks. If workers need to adapt quickly to new green jobs, these labour markets offer fewer pathways.

packed Weymouth Beach on a hot day
Workers in Dorset might struggle to find new green jobs.
Andrew Harker / shutterstock

Meanwhile, major hubs traditionally seen as vulnerable — Aberdeen, for example — do not rank as highly as public debate might suggest. That’s partly because the risks of oil-and-gas decline are distributed across commuting patterns and supply chains, and partly because the region has already begun diversifying into offshore wind and energy services.

Discussions of economic shocks often focus on headline job losses. Our index instead looks at the proportion of working people in each area who are exposed, highlighting where disruption will have a greater impact on the local economy.

This distinction matters because an area can have highly vulnerable industries yet employ relatively few people in them. By analysing industrial risk alongside workforce exposure, we identify places where the scale of potential disruption — not just its intensity — is greatest.

The result is a list of 32 local authorities most in need of support to navigate the transition. Most sit in England’s Midlands and north, along with several in Wales and Scotland. What unites them is not current emissions levels, but long-standing economic fragility.

An uneven playing field

Net zero will bring vast economic benefits to many. Yet, our work exposes a crucial tension at the heart of the net-zero transition: its impacts play out in a landscape already shaped by 40 years of uneven growth. Many communities identified as vulnerable have been grappling with low wages, declining opportunities and outflows of young talent for decades.

Net-zero policies are not causing these challenges, but they risk intensifying them if they ignore the geography of vulnerability. This helps explain why climate policy has become politically contentious in some regions.

Wakefield Theatre Royal and Opera House
Wakefield in West Yorkshire is joint top of the net zero vulnerability index.
Go My Media / shutterstock

Overall, the British public still supports the goal of net zero, but there is often far less support for the policies needed to get there. Capitalising on this tension, Reform has pledged to scrap “net stupid zero” policies and suggested the revival of coal mines, while the Conservatives have vowed to do away with the 2050 net zero emissions target, claiming it is impossible “without a serious drop in our living standards or by bankrupting us”.

At the core of the anti-net zero message is how “green” policies will make people and communities poorer. Such claims have an important resonance in the wake of a cost-of-living crisis, spikes in energy bills, and an increased sense of economic precarity for many – particularly in already-struggling regions.

Continued public support for net zero depends on acknowledging where its costs will fall. Confronting these risks is essential to making climate policy more durable.

What next?

The net zero transition can create new, secure, well-paid jobs and help the UK establish itself as a “clean energy superpower”. But without targeted intervention, the benefits and costs will always be shared unevenly.

Our research highlights a clear opportunity: many of the most vulnerable local authorities sit within parts of the UK which have devolved powers over skills, transport and local economic strategy. Devolved governments in Scotland and Wales, and regional bodies such as the Greater Manchester Authority can play key roles by funding retraining, improving infrastructure, and creating new types of jobs for those who will be negatively affected by net zero.

Our net zero vulnerability index gives policymakers a map of where support is most urgently needed. The challenge now is to use it — to ensure the transition to a green economy becomes a story of national renewal rather than a replay of uneven decline.


Don’t have time to read about climate change as much as you’d like?

Get a weekly roundup in your inbox instead. Every Wednesday, The Conversation’s environment editor writes Imagine, a short email that goes a little deeper into just one climate issue. Join the 47,000+ readers who’ve subscribed so far.


The Conversation

Ed Atkins receives funding from UKRI.

Sean Fox 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. Net zero will transform Britain’s economy – our map reveals the most vulnerable places – https://theconversation.com/net-zero-will-transform-britains-economy-our-map-reveals-the-most-vulnerable-places-275604

Smartphone photos may be misleading doctors and putting patients at risk – new research

Source: The Conversation – UK – By Rebecca Payne, Clinical Senior Lecturer, Bangor University

shutterstock fizkes/Shutterstock

It’s an increasingly common scenario. You fill in an online form to request an appointment with a doctor, and back comes a link asking you to upload a photo of your ailment. You pick up your phone, a couple of clicks and it’s sent. While you wait for a call back, your GP is studying your image.

But do you look pixelated? Have the colours been adjusted? Has the phone erased a rash or smoothed your skin? Does the doctor see you as you really are, or as your phone camera thinks you should be?

New research from our team suggests the answer is often the latter. Smartphone cameras and software routinely alter images in ways that can mislead doctors, and in some cases, put patients at risk of misdiagnosis.

Remote consultations are now routine in many health systems. No longer an emergency pandemic stopgap, general practice is increasingly offered in a “hybrid” way, with patients receiving care in different ways, some in person, many remotely.

Across Australia, North America and parts of Scandinavia, video appointments are commonplace. In the UK, patients are often asked to upload photos through online platforms. Photos are used to diagnose conditions such as eczema or warts, assess responses to treatment and assess how unwell someone appears, informing decisions about if, and how urgently, they need to be seen in person.

For many people it’s a quick and convenient way to receive care, reducing travel times and avoiding time spent waiting for a call to be answered or hanging around in a germ-packed doctor’s waiting room.

Doctor working with laptop computer in medical setting.
Smartphones were not designed for the purposes of medical accuracy.
everything possible/Shutterstock

Safety incidents in remote consultations remain relatively rare. But previous research by members of our team showed doctors sometimes miss important clinical signs, leading to misdiagnosis or delayed care. Examples include mistaking a malignant skin lesion for something benign, or failing to recognise colour changes, like jaundice or the blue tinge of low oxygen levels (cyanosis).

Doctors often blame themselves when this happens. Our latest research suggests something else is at play. We found that automatic image processing and compression on smartphones can distort clinically important visual information. Colour signals shift. Fine detail disappears. Subtle changes in the skin become harder to detect.

In other words, it isn’t just human error. It’s the technology.

Smartphones are designed to make photos look good, not to preserve medical accuracy. They automatically adjust exposure, balance colours, sharpen edges and compress files. These features are perfect for social media, but problematic for healthcare.

Lighting conditions in people’s homes add another layer of uncertainty. So does the quality of the screen at the doctor’s end. Night-mode settings, poor quality displays and poor calibration can all change how an image appears. Together, these factors can make people look healthier than they really are, flatten rashes, soften swelling or alter the colour of lesions.

Some patients are particularly vulnerable. We already know that some medical devices, such as pulse oximeters, perform less accurately in people with darker skin. Image distortion risks compounding those inequities as those with darker skin are more likely to have clinical findings missed.

Other cases where findings may be missed are where clinical findings are subtle, or when AI-based filters are used. People with lower digital literacy, or those who struggle to communicate their symptoms clearly, are also at greater risk when something is overlooked.

So, what can be done?

As patients, there are simple steps that help. Turn off filters. Use good lighting, daylight if possible. Check that the photo resembles what you actually see before sending it. Include a written description alongside the image. And if it seems your doctor is seeing something different from you, say so.

Medical teams also need to be aware of the limits of patient-generated images. That means checking back: “I can’t see any changes here. Are you noticing something different?” And when there’s doubt, arranging an in-person review.

Screens should be large enough and of sufficient quality. Night-mode settings should be switched off. Image uncertainty should be treated like any other clinical uncertainty.

But is it fair to leave all this to patients and already stretched medical teams? There’s a strong case for wider change. Smartphones could include a dedicated healthcare mode that disables filters and warns users when image quality is too poor for clinical decisions. Video platforms and upload systems could flag inadequate lighting, low resolution or excessive compression before images are sent.

As digital consultations become embedded in everyday care, image quality needs to be treated as part of patient safety infrastructure, not just a technical detail. Smartphones were built to make us look good. Medicine requires something different: accuracy.

If the health service is going to rely on smartphone cameras for clinical decisions, how those cameras are designed, regulated and used may need a rethink. Because convenience should never come at the cost of care.

The Conversation

Rebecca Payne receives funding from a University of Oxford Clarendon-Reuben Scholarship and works on a project funded by Health and Care Research Wales

Zengbo Wang 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. Smartphone photos may be misleading doctors and putting patients at risk – new research – https://theconversation.com/smartphone-photos-may-be-misleading-doctors-and-putting-patients-at-risk-new-research-276119

Everything can be a bet now – the rise and risks of prediction markets

Source: The Conversation – UK – By Sarah Mills, Professor of Human Geography, Loughborough University

The final result in November’s New York City mayoral election was more like 51% for Zohran Mamdani and 41% for Andrew Cuomo. rblfmr/Shutterstock

Yes or no? It’s a simple question that now drives more than US$13 billion (£9.7 billion) a month on prediction markets – companies like Polymarket, PredictIt and Kalshi.

These firms run digital platforms that use blockchain technology to let anonymous users gamble on uncertainty and place “predictions” rather than bets. Users can buy a yes or no “event contract” on anything from strikes on Iran to the most popular show on Netflix and the return of Jesus.

Politics and popular culture have merged, with reports that Kalshi and others are becoming a new “stock market for trends” in the so-called “attention economy”. Everything is now monetised.

However, several incidents have brought the politics of prediction markets into sharp relief. These include large volumes of predictions (or bets) placed in the hours before election results in Portugal, the presidential coup in Venezuela, and in Israel, where two people have been charged on suspicion of using classified information to place bets about military actions.

In the US, where Polymarket has its headquarters, the platform has been controversial since its launch a few years ago. The website has been blocked there for most of its short life, including during the country’s 2024 presidential election. But it recently relaunched in its home country – with President Donald Trump’s support. The president’s son, Donald Trump Jr, serves in advisory roles at both Polymarket and Kalshi.

One advertising slogan for Kalshi states: “The world’s gone mad, trade it”. However, not all the world can trade.

As a geographer, I’m fascinated by how online gambling is now a global game, in many cases bypassing national legislation on gambling laws via VPNs. My latest project charts how traditional political gambling – through licensed bookmakers or online gambling companies – is now simultaneously bordered and borderless. National laws on gambling remain important, but there is increasing fluidity with the rise of VPNs and digital platforms. This trend is creeping into prediction markets too.

Polymarket is banned or geo-blocked in several countries including the UK, France and Belgium due to regulatory and licensing challenges (and now Portugal after the election incident). And its blockchain technology and use of cryptocurrency are complex and hard to regulate. The space between gambling and gaming is proving to be a grey area for many countries to legislate in.

Even if countries don’t allow their citizens to access prediction markets, the world is still betting on those nations and their next election or leadership contest. This could be the future of election betting – and possibly the future of geopolitics – if world events can be influenced by prediction market activity.

Insider dealing?

One of the key questions in the debate is whether this is gambling. Or is it simply users drawing on their expertise, perhaps more akin to playing the stock market? There have been suggestions that prediction markets offer a loophole for gambling restrictions. The controversies all come down to whether there is insider information, a very serious legal minefield and especially in the context of military or classified information.

Increasingly, viewers see prediction market “odds” appearing on the rolling coverage or infographics of major US news channels such as CNN and CNBC. These are not pollsters’ or even bookmakers’ odds, but rather the current yes or no trends. So is this really data, or just vibes?

The increasing professionalisation of prediction markets embedded into news infrastructures is significant. Indeed, people have argued that the websites of prediction markets themselves are now consumed like live news channels. As a result, these platforms are driving huge amounts of revenue, with Polymarket alone valued at US$9 billion (£6.7 billion) in October 2025. There are forecasts that together these platforms will reach a trillion dollars in trading volume by 2030.

Polymarket is trying to increase awareness of its brand.

The rise in prediction markets raises critical questions for the future of democracy. In order to ensure that trust and democracy can be upheld in the era of prediction markets, regulations and safeguards must be strengthened for an industry that is now both bordered and borderless.

One of Polymarket’s advertising slogans invites users to “answer some of the world’s biggest questions”. Perhaps the single biggest question concerns the political and ethical implications of predicting the future for money in this way.

The Conversation

Sarah Mills has received funding from The British Academy, ESRC, AHRC, Royal Geographical Society and DCMS.

– ref. Everything can be a bet now – the rise and risks of prediction markets – https://theconversation.com/everything-can-be-a-bet-now-the-rise-and-risks-of-prediction-markets-276464

Want to understand Honoré de Balzac? Try Dungeons & Dragons instead of literary theory

Source: The Conversation – UK – By Harsh Trivedi, Teaching Associate French, School of Languages, Arts and Societies., University of Sheffield

Louis-Auguste Bisson/Canva, CC BY-SA

Most people think originality comes from endless freedom. The role playing game Dungeons & Dragons suggests the opposite. It gives players a small number of races, classes and backgrounds and somehow produces characters that feel endlessly distinct. A half-elf paladin might be an immediately recognisable type, yet no two half-elf paladins ever feel the same once play begins. This is because identity in Dungeons & Dragons is not created by escaping structure, but by working through it.

Nineteenth-century readers encountered something strikingly similar in the novels of the French novelist Honoré de Balzac. His vast fictional project, The Human Comedy (1829-1848) is built on a limited repertoire of social “types” that recur as characters across nearly 100 novels and short stories.

There are provincial newcomers arriving in Paris (Father Goriot, 1835), ambitious social climbers seeking rapid ascent, journalists willing to trade principles for influence (Lost Illusions, 1837-1843), dandies whose elegance masks insecurity (The Splendours and Miseries of Courtesans, 1838-1847), courtesans navigating power through intimacy (Cousin Betty, 1846), speculators driven by risk (The Firm of Nucingen, 1837), and the many “30-year-old women” seeking to break out of provincial monotony (The Muse of the Department, 1843). These figures are immediately legible, yet the characters who emerge from them feel uncannily alive. Far from producing stereotypes, Balzac’s work generates individuality through combination, overlap and circumstance.


This article is part of Rethinking the Classics. The stories in this series offer insightful new ways to think about and interpret classic books and artworks. This is the canon – with a twist.


Balzac was explicit about his “typological” method. In the preface to An Historical Mystery (1841), he defines a “type” as a character who “summarises in himself certain characteristic traits of all those who more or less resemble him; he is the model of the genre”. Such a figure is not a stereotype but a point of condensation, gathering shared traits without erasing individuality.

The Hungarian philosopher Georg Lukács later developed this insight, claiming that Balzac’s characters synthesise the individual and the universal. He argued that they embody broad social forces such as ambition, speculation, artistic aspiration and political calculation, while remaining fully embedded within their social world.

What makes Dungeons & Dragons an especially useful lens here is that character creation does not stop with race and class. Players must also roll a 20-sided dice for attributes such as strength, dexterity, constitution, intelligence, wisdom and charisma. These values introduce chance into the system and ensure that no character ever perfectly conforms to an ideal model. Two characters can share the same class and background yet differ radically because one lacks charisma, another has fragile constitution, or a third possesses unexpectedly high intelligence. Chance does not undermine the system. It activates it.

A Dungeons & Dragons character sheet.
A Dungeons & Dragons character sheet.
Dodotone/Shutterstock

Balzac understood this logic perfectly and made it explicit in the preface to The Human Comedy where he sets out the philosophy and structure of the entire project.
Reflecting on how fiction produces lifelike characters, he wrote that “chance is the greatest novelist in the world; to be prolific, one need only study it”.

For Balzac, social types alone are never enough. What gives life to his characters is the way fixed positions collide with contingency, accidents, misjudgements and missed opportunities. A career turns on a chance encounter (Lost Illusions). A reputation collapses because of a rumour (Cousin Bette). A letter arrives too late (Eugénie Grandet, 1833). An ordinary life is overturned by a pact with supernatural forces (The Wild Ass’s Skin, 1831). These elements do not cancel typology; they work through it.

Seen across The Human Comedy, Balzac’s characters do not exist as isolated portraits but as part of a vast and carefully organised system. Figures recur across novels, reappear in new contexts, and are reframed by shifting social and historical pressures. A journalist encountered early in the corpus returns later compromised or triumphant. A provincial social climber resurfaces as a hardened social operator. A writer becomes a commercial failure or an institutional success. This recurrence is not repetition for its own sake. It is how individuality is forged.

A painting of Balzac in a dressing gown
A portrait of Balzac by Louis Boulanger (1836).
Musée des Beaux-Arts de Tours

The contrast between the characters Lucien de Rubempré and Eugène de Rastignac makes this logic especially clear. Both enter Paris as provincial newcomers (in Lost Illusions and Father Goriot). Both are ambitious, socially alert and acutely aware that success depends on visibility, patronage and strategic alliances.

Typologically, they occupy a similar position within Balzac’s social universe as aspiring provincial social climbers. Yet their trajectories diverge dramatically. Rastignac learns to read the system accurately and adapts himself to it with increasing success. Lucien mistakes recognition for belonging and talent for protection. Their difference emerges from how similar components interact with chance over time.

This pattern repeats throughout Balzac’s work. In each case, the type remains legible, but the personal trajectory is never fixed in advance. This is a crucial difference from other large-scale cyclical works of the 19th century, most notably Émile Zola’s Rougon-Macquart (1871-1893), where characters are ultimately governed by heredity and biological determinism. Balzac’s world is structured, but it is not closed. His characters are shaped by chance and choice, not locked into destiny by bloodlines.

Thinking about Balzac through Dungeons & Dragons helps make visible a logic of character creation that is often taken for granted.

Great novelists do not produce individuality by abandoning structure, but by working through it. Balzac’s insight was to recognise that social life is already organised into roles, hierarchies and expectations, and that fiction becomes most powerful when it shows how people navigate (and sometimes rebel against) these constraints.

The Human Comedy begins with a finite set of social types and generates endless variation through combination, chance, and choice. Far from limiting his characters, Balzac’s typology is precisely what allows them to feel so enduringly alive.


Looking for something good? Cut through the noise with a carefully curated selection of the latest releases, live events and exhibitions, straight to your inbox every fortnight, on Fridays. Sign up here.


This article features references to books that have been included for editorial reasons, and may contain links to bookshop.org. If you click on one of the links and go on to buy something from bookshop.org The Conversation UK may earn a commission.

The Conversation

Harsh Trivedi 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. Want to understand Honoré de Balzac? Try Dungeons & Dragons instead of literary theory – https://theconversation.com/want-to-understand-honore-de-balzac-try-dungeons-and-dragons-instead-of-literary-theory-274688

The worse your mental health problem, the less sympathy you get – why?

Source: The Conversation – UK – By Robin Bailey, Assistant Professor in Clinical Psychology, University of Cambridge

SewCreamStudio/Shutterstock.com

Some mental health conditions, such as anxiety, depression and ADHD, have become more accepted in society. People can now talk about them at work, at home and online and often be met with understanding.

This change matters. It makes it easier to ask for help and harder for employers and institutions to pretend mental health problems do not exist.

Public sympathy is uneven. Some conditions are widely understood, while others are still judged harshly.

As some conditions become familiar, they set the template for what mental illness is supposed to look like. Presentations that do not fit that picture are more likely to be perceived differently.

The recent Baftas Tourette’s incident showed how quickly behaviour can be moralised when it breaks a social rule.

Research on Tourette stigma finds public understanding is often limited and stereotypes continue to shape how the condition is perceived. Tics can be mistaken for deliberate misbehaviour, especially when they are seen as offensive or involve taboo words or racial slurs.

Schizophrenia, bipolar disorder and some personality disorders, including borderline and narcissistic personality disorder, tend to attract less empathy and more suspicion. A big part of the difference is familiarity, whether the behaviour fits a story people already understand. When it does not uncertainty can tip into fear.

Fear is the driver

That difference shows up in research. In a study testing stigma across nine diagnoses – measured by how much people wanted to keep their distance from someone with each condition – depression and anxiety drew the least stigma, while schizophrenia and personality disorder drew the most. Across diagnoses, fear was the most consistent driver of stigma.

Part of the sympathy gap can be recognition. People often sense something is wrong without knowing what to call it. When experiences or behaviour cannot be named, it becomes easier to explain it as “mad, bad, or dangerous”.

A cross-cultural study asked people to read short vignettes and name the condition. Around seven in ten correctly identified ADHD, but only around a third correctly identified bipolar disorder.

That is where the hierarchy of sympathy does its damage. Anxiety and depression can be recognised as suffering.

Other presentations are morally reinterpreted as defective personality. Mood swings are seen as selfishness, suspicion as nastiness, hearing voices as dangerousness and rapid shifts between closeness and anger as manipulation.

Personality disorder labels are especially vulnerable to this moralising. They are often heard not as descriptions of distress but as verdicts on character.

Borderline personality disorder, for example, is often misread as attention-seeking or manipulation rather than recognised as a pattern of intense fear, instability and emotional pain. That misreading can contribute to people being dismissed, not taken seriously, or even denied care.

A woman sitting on her own while a group of people her own age chat happily in the background.
People with personality disorders can be viewed as having a defective personality.
fizkes/Shutterstock.com

Narcissistic personality disorder is routinely stigmatised and used as shorthand for cruelty or selfishness. Clinically, it is typically conceptualised as a rigid coping style that can mask underlying insecurity and fragility.

This split shows up online. A study analysing tweets about several mental and physical health conditions found mental health terms were more likely to be used in stigmatising or trivialising ways, and schizophrenia was the most stigmatised mental health condition examined.

On social media, anxiety and ADHD are more likely to be met with sympathy, but “psychotic” is used as an insult, and “bipolar” as a joke about someone whose mood has changed.

Personality disorder terms get used similarly: “narcissist” becomes a throwaway label for a bad relationship, and “borderline” a smear for being too much. Diagnosis turns into name calling.

Trivialisation and stigma are different, but they converge. They turn illness into a social weapon and make it easier to respond with ridicule or fear than with care.

The term “trauma” adds another twist. When distress is framed as trauma, it often attracts more sympathy because it fits a clear story something bad happened, and the person is suffering – for example, surviving a natural disaster.

But public attitudes are more complicated. A multi-study paper found many people still hold negative views of trauma survivors, including beliefs that they are permanently damaged, unpredictable, or dangerous.

Many diagnoses that attract suspicion, including psychotic disorders and some personality disorders, are also strongly linked to trauma histories. The difference is not just cause. It is whether the label makes distress look like an understandable injury, or a frightening personality.

There are parallels in physical health too, where severe illness can equate to more sympathy. Cancer, stroke or dementia are often seen as serious and largely outside a person’s control, so they attract support.

But blame changes the picture. When illness is seen as linked to behaviour, such as smoking, sympathy can fade.

In mental health, the pattern can look reversed. The most severe conditions, including psychotic disorders and some personality disorders, are often treated as if they reflect character or choice, even though they are strongly linked to factors beyond control such as biology and development. People who have the least control over their symptoms often receive the least sympathy.

Much has been done to raise awareness. But until empathy and understanding extend to forms of distress that are often perceived as frightening, disruptive, or hard to make sense of, the hierarchy will persist.

The Conversation

Robin Bailey 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. The worse your mental health problem, the less sympathy you get – why? – https://theconversation.com/the-worse-your-mental-health-problem-the-less-sympathy-you-get-why-274651