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Scientists Think One of Earth’s Simplest Organisms May Work like a Giant Brain
One of Earth’s oldest plants appears to pass electrical messages through its dense green mats.
NASA’s SpaceX CRS-35 Mission to Launch Health Research
NASA experiments focused on human and plant health and drug-resistant organisms will travel to the International Space Station aboard SpaceX’s 35th. This research supports astronaut health during long-duration missions through four investigations from the agency’s Biological and Physical Sciences division.
Decoding the gut microbiome's symphony in health and disease
The trillions of microorganisms living in our intestine influence our health, from digestion and metabolism to immunity. Yet scientists still struggle to understand how these microbes shape these important physiological functions because gut microbiomes are extraordinarily complex, redundant, and dynamic. New technologies are therefore essential for advancing microbiome research. Researchers at the University of Vienna have now reported effective strategies for simultaneously measuring thousands
Scientists map the ocean’s invisible workforce of microbes
USC Dornsife research reveals how tiny sea-faring organisms compete for nutrients, recycle carbon and help regulate the planet’s climate
How Microbes Got Their Crawl
In the oceans and on land, scientists are discovering rare, transitional organisms that bridge the gap between Earth’s simplest cells and today’s complex ones.
Did Scientists Just Witness a Key Step in the Origin of Complex Life?
A recent headline suggests a breakthrough. Have researchers recently witnessed experimental support for the origin of complex life?
Scientists have built a cell in a lab from the ground up
What do you call an organism with no evolutionary ancestors? SpudCell, apparently
Inside 530-million-year-old embryos, scientists uncover rare time-lapse of early animal growth
Think of a small fossil as the equivalent of a homemade video of prehistoric life. Fossils formed when sea organisms began their great proliferation more than half a billion years ago rarely contained ...
Scientists find genes that existed before all life on Earth
Life’s story may stretch further back than scientists once thought. Some genes found in nearly every organism today were already duplicated before all life shared a common ancestor. By tracking these rare genes, researchers can investigate how early cells worked and what features of life emerged first. New computational tools are now helping scientists unlock this hidden chapter of evolution.
New 'scimitar-crested' Spinosaurus species discovered in the central Sahara
A paper published in Science describes the discovery of Spinosaurus mirabilis, a new spinosaurid species found in Niger. A 20-person team led by Paul Sereno, Ph.D., Professor of Organismal Biology and ...
Decoding Earth's magnetic field may help scientists treat Parkinson's and Alzheimer's. Here's how
"It passes through our bodies, our cells and every living organism on the planet, yet we know surprisingly little about whether and how this invisible force affects the way our cells work."
NASA’s PACE Satellite Provides New Pollution Measuring Product
NASA’s Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite, known for measuring tiny organisms in the ocean and particles in the atmosphere, has a new
Scientists Discovered An Organism That Can Become Two Different Life Forms
Knowing which genes are responsible for the transformations could help with developing antifungal treatments, and may have other pharmaceutical and industrial applications.
Heard on Campus: Tanya Berger-Wolf on AI for nature
Tanya Berger-Wolf, professor of computer science engineering; of electrical and computer engineering; and of evolution, ecology and organismal biology at Ohio State University, gave a lecture titled “AI for Nature: From Science to Action" as part of the Distinguished Lectures in Life Sciences series presented by the Huck Institutes of the Life Sciences.
The incongruity of caste and science
IIT-Mandi 'shudras' row: The human organism develops as its genes interact with its environment, and caste-based discrimination affects these environments
Evolution Might Not Be as Random as We Thought, New Study Finds
There's a hidden force on organisms.
New issue: Mirrorlife | BBC Science Focus Magazine
Mirror life could end all life on Earth. That sounds dramatic, but senior biologists have raised the alarm about experiments happening all around the world. It sounds like something in a Doctor Who plot, but no – mirror life is a real possibility. So why do scientists want to create something that’s potentially apocalyptic? Well, it could also have huge benefits (think back to splitting the atom). The first thing to say, however, is that mirror organisms are still a little way away yet – but only decades, not centuries. So far, scientists have only made mirror molecules, one of life’s building blocks. What for? Life works because its building blocks fit together. Imagine drilling a screw into a piece of wood. The screw cuts a hole with a thread that snugly matches its own. If, for some reason, the Doctor showed up and handed you a mirror version of the screw, its thread would be in reverse. It wouldn’t twist into the hole you’d just made as the threads wouldn’t match. That said, the mirror screw would still work; you’d just have to create a mirror hole for it. Mirror molecules, including DNA, work a bit like that. They follow the same principles as the biology around us, but they’re entirely incompatible with traditional biological functions. In medical terms, this means they’re effectively invisible to your body’s systems. Our biology doesn’t have the tools to recognise these molecules and break them apart. And if someone took these mirror molecules and put them together to make a cell and then an organism… you’d have mirror life. But we don't have any way of breaking it down. If it escaped the lab, we’d just have to hope it didn’t have an appetite.
How microbes can boost protein content and health benefits in fermented foods
US research recently found that microbial proteins significantly contribute to the protein content of fermented foods, like yogurt and cheese. We explore the findings with one of the study authors, who tells us that microorganisms do not just help foods ferment but also boost their nutritional profile and potentially have health impacts. These food-fermenting microbes raised protein levels, reaching up to 11% of the total protein content, making up 60% of the identified proteins.
Scientists revive ancient 24,000-year-old ‘zombie worm’ from Arctic ice
Scientists revived a 24,000-year-old microscopic organism frozen in Siberian permafrost, offering new insights into how life endures extreme conditions.
Scientists make microplastics glow to see what they do inside your body
Microplastics and nanoplastics are now found everywhere on Earth, from ocean depths to agricultural soils and even inside the human body. Yet scientists still struggle to understand what these particles actually do once they enter living organisms. A new study proposes an innovative fluorescence-based strategy that could allow researchers to track microplastics in real time as they move, transform, and degrade inside biological systems.
Science is political
In my very first biology class here at Case Western Reserve University, we covered a brief history of evolutionary science. During this lecture, we learned about Aristotle and his form of evolutionary thinking, which is a simple ranking of all living organisms. This was dubbed the scala naturae, or the “Great Chain of Being,” and...
DNA had one rule. Bacteria didn’t get the memo
Every cell in every organism on Earth copies DNA the same way. Except one bacterial protein — quietly doing something scientists had never seen before.
Are plants the key to solving energy and food crises worldwide?
Costas Maranas, Robert V. & Gloria H. Waltemeyer Chair and Donald B. Broughton Professor of Chemical Engineering at Penn State, is developing computer models and algorithms to help scientists better understand, analyze and redesign biological organisms, including plants. In this Q&A, Maranas discussed how recent breakthroughs in modeling, artificial intelligence and systems biology are accelerating their work, helping plant scientists better understand and repurpose plants into fuel, plastics and more.
Dirty hands, healthy life? What science really says may shock you - Futura-Sciences
The Rich Ecosystem Right at Our Fingertips For years, our skin was viewed as just a protective barrier. But in truth, it’s an ecosystem bursting with millions of invisible microorganisms: the cutaneous microbiome. It’s home to beneficial bacteria (like Staphylococcus epidermidis and Cutibacterium acnes), fungi (think Malassezia), viruses (such as...
Scientists Stunned: Colossal Eggs Discovered 3,500 Meters Beneath an Active Volcano
Beneath an active seafloor volcano off Vancouver Island, researchers have documented a congregation of giant eggs at roughly 3,500 meters, a discovery that reframes how life can flourish under extreme conditions. The eggs belong to the Pacific white skate, an elusive deep‑sea species adapted to cold, crushing pressure and perpetual darkness. What seemed an unlikely nursery is actually a geothermally warmed refuge, where subtle heat helps embryos survive a marathon incubation. The finding links volcanic energy to a quiet engine of biodiversity, turning a hostile landscape into an incubator. A living volcano, a hidden nursery The seamount long assumed dormant now exhales mineral‑rich, shimmering plumes, proof of hydrothermal life at depth. Expedition cameras swept across black basalt and pale bacterial mats, revealing vents that pulse with warmth. That warmth, though modest by human standards, alters the physics of development for cold‑adapted embryos. In a realm where metabolism creeps, even a few degrees can mean faster growth and higher survival. The volcano is not only active; it is ecologically formative, drafting a blueprint for a thriving oasis. Giant eggs and a skate built for the abyss The Pacific white skate, Bathyraja spinosissima, is built for the abyss: broad wings, armored spines, and a life history that trades speed for endurance. Females lay outsized, rectangular “mermaid’s purses,” often 46–50 centimeters long, packed with rich yolk to fuel years of growth. In the frigid deep, embryos can require around four years to hatch, a timeline that magnifies every energetic advantage. The scale is striking—large eggs, large adults, and a textbook case of deep‑sea gigantism. The volcano’s gentle heat may literally shave months or years from the wait. Why heat matters at the bottom of the sea Hydrothermal circulation delivers low‑level warmth without the turbulence that would scatter fragile egg‑cases. Slightly elevated temperatures accelerate enzyme kinetics, nudging development along while keeping embryos within a safe range. Mineral‑laden fluids likely shape local microbiomes, which, in turn, can influence biofilms on egg surfaces. The environment acts like a slow, steady incubator, countering the deep sea’s tyrannies of cold and scarcity. For a species with long maturation and few offspring, every incremental boost compounds across generations. An ecosystem sculpted by fire and water Seafloor volcanoes create steep environmental gradients, stitching together hot vents, cool eddies, and mineral gardens into mosaic habitats. Microbes harvest chemical energy, seeding food webs that support crustaceans, fishes, and skates. Cameras documented egg‑cases nestled among rocky ledges, near communities nourished by vent‑driven chemistry. These islands of productivity behave like deep‑sea oases, sustaining life far beyond the vent orifice’s flickering light. The nursery’s success underscores how geological forces engineer biological opportunity. “Finding a cradle of life tucked beneath a breathing volcano reminds us that the planet’s harshest places can be profoundly generous.” What the discovery could change The nursery reframes conservation priorities in regions where volcanism quietly underwrites reproduction. Protecting hydrothermal corridors could safeguard entire lifecycles, not just charismatic adults spotted during occasional surveys. It also sharpens questions about how climate‑driven shifts in ocean circulation might influence vent activity, temperature fields, and embryo survival. With methodical mapping, time‑series cameras, and environmental DNA, scientists can track whether nurseries remain stable or drift with geologic rhythms. Key implications include: Enhanced understanding of deep‑sea reproduction at hydrothermal sites. New conservation targets centered on geothermal nurseries. Comparative studies with other volcanic regions, from the Galápagos to rift zones. Biotechnological insights from organisms adapted to long, cold development. Better models of how seafloor heat shapes regional biodiversity. Methods behind the revelation Remotely operated vehicles threaded through chimney fields, gathering video, temperatures, and mineral signatures. High‑definition imagery captured the distinctive, horned egg cases, their edges dusted with fine volcanic silt. Geochemical profiles mapped how heat and chemicals disperse, outlining the “thermal lanes” where eggs most cluster. Combined, these datasets reveal a nursery organized by geothermal topography, with egg‑cases concentrated in pockets of gentle, sustained warmth. A fragile boon in a changing ocean Deep‑sea environments feel remote, yet they intersect with global pressures: mining proposals, cable routes, and shifting oxygen levels. The nursery’s resilience hinges on stable heat flow, intact substrates, and minimal disturbance from noise or sediment. Safeguarding such places is not just about protecting novelty; it preserves a slow, ancient strategy that lets large, long‑lived animals endure in the coldest reaches of the Pacific. Where geology and biology meet, the planet’s deep time still writes living stories. This volcano‑warmed nursery adds a vital chapter to that story, revealing how subtle thermal gifts can tip the scales toward life in the abyss. With each dive, researchers trace the contours of an unseen world, where fire feeds water, and water—against all odds—feeds the future.
These Creatures Have One Cell and No Brain. Scientists Just Discovered They Can Learn.
In 1897 Russian physiologist Ivan Pavlov proved that animals can be trained using associative learning. A new study finds that even single-celled organisms can behave like “Pavlov's dog.”
A Drug Extended Lifespan in 3 Very Different Species by More Than 25% Longer in a New Longevity Study
Directly activating a cellular energy sensor extended lifespan across three very different organisms.
Ancient Eukaryote Fossils In Australia Add To Story Of How Complex Life Evolved Over A Billion Years Ago
“Studies like this give us an opportunity to understand these little guys as organisms […] we can picture where they were living, what they were doing and who they were.”
CSU biology professor delivers talk on extremophilic microorganisms, research advancements
Thomas Santangelo began the department of biology’s fall semester seminar series at Colorado State University strong, presenting the progressive research behind microorganisms in extreme environments and how those observations can inform future research about biological resilience and adaptation. Santangelo, a professor of biochemistry and molecular biology at CSU, was the main speaker of the “Surprises...
How amateur naturalists are helping scientists track what everything eats
An interdisciplinary team of researchers has created an open-source website for learning what different organisms eat and what eats them. The site—called Who Eats Whom—draws on data from a worldwide citizen ...
Sea Aggie Researchers Make Evening Fun with Science on the Beach
“The environment is where we all meet; where we all have a mutual interest; it’s the one thing all of us share.” – Lady Bird JohnsonOn Galveston Island, beaches rank among the favorite environments to share and study, and, as Texas A&M University at Galveston faculty emphasized last week, are “More Than Just Sand.”A program subtitled “The Secret Life & Value of Sandy Beaches” drew more than 40 people to the Aug. 13 meeting of Surfrider Foundation Galveston, a local chapter of a nonprofit focused on the protection and enjoyment of oceans and beaches.The evening began barefoot with ecology lessons on the sand before moving across Seawall Boulevard for beverages, bites, and more beach talk at an area establishment. Drs. Guilherme Corte and Yasmina Shah Esmaeili show how a mesh bag is used as a sieve to separate organisms from samples of the sand. Credit: TAMUG Divisions of Marketing and CommunicationsNot far from where others were enjoying the attractions at Pleasure Pier, Drs. Guilherme Corte and Yasmina Shah Esmaeili introduced the ecologically curious to species living within the sediments.“When people hear ‘coral reefs,’ they immediately think of fish, live ecosystems, but when they think of sandy beaches, they think party, recreation, vacations – not coastal ecosystems,” said Corte, an assistant professor of marine biology in the College of Marine Sciences and Maritime Studies at TAMUG.Shah Esmaeili co-founded the Gulf eDNA Network and works with Corte in TAMUG’s Benthic Ecology Lab.“Sandy beaches are indeed great places for leisure and recreation,” Corte said. “Let’s keep enjoying them, because they are awesome. But they are also full of life that we most of the time don’t realize is there.”The married couple soon had the beachcombers measuring the slope with PVC poles, searching for ghost shrimp with a stainless-steel pump, sifting for marine worms and sand fleas, and guessing which species would burrow fastest back into the sand once released.Away from the sand, the focus turned to research from Drs. Ashley Ross ’03, ’10, and Virgie Greb, ’25 and those words from Lady Bird Johnson reminding people that the environment isn’t separate from their daily lives.“It’s about things that we value, mostly our communities, strong local economies, outdoor recreation, cultural connections, and our overall quality of life,” said Greb, a proud BOI – born on the island – Galvestonian, who now works in Austin as a project manager for the Texas General Land Office. “Along our coast, these benefits are deeply interconnected.”Greb and Ross, an associate professor in marine and coastal environmental science with the College of Marine Sciences & Maritime Studies, have studied a variety of ways beaches and the sea are important to Galveston and those who live there. Drs. Ashley Ross (left) and Virgie Greb (standing at right) field questions after their presentation. Credit: TAMUG Division of Marketing and CommunicationsIn 2023, using three survey methods – online for Galveston County residents, in-person at beaches, and paper distributed via city water bills – they collected 732 complete responses, 53 percent from residents and 47 percent from visitors.Most were frequent beachgoers who gave the recreation value of Galveston beaches a “B” and rated amenities such as restaurants, lodging, shopping, and beach access highly. Lower rated were water clarity and restroom facilities.“It’s noticeable that primary residents actually rate water quality higher; they’re more tolerant of hard, turbid water,” Ross said, crediting them with better understanding the natural conditions with the Trinity and San Jacinto Rivers bringing sediments and rich nutrients to the area around Galveston.Island residents also were more likely to understand that “clear” isn’t the same as clean beach water and to know that water quality is regularly tested. Clean means absent of disease-causing pathogens.“We need more education and outreach focused on water quality and the benefits of Galveston beaches and shores and water,” Greb said. “And it’s not just for tourism. There are a lot of people who are very lucky to live on an island with beaches and the bay.”
In an $80 Motel Room, a Discovery to Shed Light on the Origins of Life
A scrappy science project led to a significant discovery: two new species of a rare organism that could elucidate a fundamental transition in the history of life on our planet.
Scientists find unexpected life on Ötzi the Iceman’s 5,300-year-old body
More than 5,000 years after his death, Ötzi the Iceman is still hosting a remarkable mix of ancient and modern microorganisms. Researchers separated microbes that lived in his body during his lifetime from those that arrived after his death, uncovering traces of his original gut bacteria and cold-loving yeasts that may have survived alongside him in the glacier for millennia.
Mapping the genetic diversity of Antarctic life
Antarctica is home to organisms that have evolved to survive months of darkness, frigid temperatures and some of the harshest conditions on Earth. Hidden within their genetic material are clues to how life adapts and persists in extreme environments.
Microbe Discovered With One of The Smallest Genomes on Record, Pushing The Bounds of What It Means to Be Alive
What is an organism, anyway?
Glyphosate: A story of science, risk, and nuance
In the summer of 2014, a California groundskeeper named Dewayne Johnson started noticing patches of raw, weeping skin spreading across his body. He had spent years applying Roundup, Monsanto’s glyphosate-based herbicide, for a school district, sometimes drenched in it when equipment malfunctioned. By 2014, he had a diagnosis: non-Hodgkin’s lymphoma. In 2018, a jury awarded him $289 million in damages, later reduced on appeal. Tens of thousands of lawsuits followed. The story hasn’t quieted down. It’s all over the internet, swinging between “this will kill you, buy organic” and “relax, you’re fear-mongering.” Some of that recent chatter stems from an Executive Order protecting glyphosate and its production, which set off intense infighting within the MAHA movement. Some of it reflects a deeper truth: Americans genuinely care about harmful chemicals in their environment (see poll below). And the conversation isn’t going anywhere, with a Supreme Court case involving Monsanto set for this April. Glyphosate (the active ingredient in Roundup) is one of the most widely used herbicides in the world. But does glyphosate cause cancer? And how much exposure is actually risky? With so much mistrust in institutions and corporations (and some genuine conflicts of interest), making sense of the actual scientific evidence is genuinely hard. Here is a translation of what the scientific evidence actually says. Does glyphosate cause harm? Glyphosate is an herbicide that kills most plants it contacts rather than targeting specific species. It works by blocking an enzyme pathway (EPSPS) that plants and many microorganisms need to produce essential amino acids. Without those amino acids, the plant can’t grow and dies. Glyphosate was first developed by Monsanto in the 1970s and became ubiquitous after the company introduced “Roundup Ready” crops in the 1990s. In 2024, Bayer removed glyphosate from residential Roundup-branded products due to litigation pressure. But today it is still the most widely used herbicide in the world. Farmers also discovered they could spray it directly on crops like oats, lentils, beans, and peas just before harvest to dry them out faster and make harvesting easier. Because of its widespread use, it’s obviously really important to understand if it’s harmful to humans. The key principle: The dose makes the poison The most important concept in toxicology is that “the dose makes the poison.” Sixteenth-century physician Paracelsus articulated what remains the foundational principle of toxicology: sola dosis facit venenum. Water will kill you if you drink enough of it. Aspirin saves lives at 81 milligrams and causes internal bleeding at higher chronic doses. So, at what dose is glyphosate poisonous? The LD50 in rats (the dose that kills half the test animals) is around 5,600 mg/kg body weight. Table salt is roughly 3,000 mg/kg. By that classic measure, glyphosate is less acutely toxic than salt. But some people are exposed to a lot of glyphosate through their work. And among the general public, there are many questions about low-dose, cumulative exposure from multiple sources over long periods. Does glyphosate cause health problems? Cancer Correlation maps are striking, with one analysis finding that 60% of counties that spray the most glyphosate have non-Hodgkin’s lymphoma rates above the national average. But correlation alone doesn’t establish cause, which is why animal and human studies matter. In animals: Rat studies are typically what most fear is rooted in, but most people don’t know the study details on the dosage given to rats. A pooled analysis of the 13 most rigorous rat studies found evidence that very high doses, around 55,000 times greater than typical food residue exposure, can cause certain cancers. In humans: One of the strongest studies followed 55,000 herbicide users over 20 years and found no overall increased cancer risk. There was one signal: among those with the highest use, rates of acute myeloid leukemia (AML) appeared elevated. A broader meta-analysis of 18 human studies also found no overall cancer risk, though a separate meta-analysis focused specifically on non-Hodgkin lymphoma found that people with high cumulative glyphosate exposure faced a 41% higher relative risk compared to those with low or no exposure. These human studies are observational studies (randomized controlled trials would be unethical), and meta-analyses are only as reliable as the studies they pool. But the story seems consistent: at very high exposure levels, there may be some cancer risk. But that’s about as far as the science currently takes us. Emerging research: gut and reproductive health Gut: Because glyphosate targets a pathway that exists in some gut bacteria, scientists have questioned whether it could affect the microbiome. In mice, a 2023 University of Iowa study found that glyphosate altered gut bacterial composition and raised markers of intestinal inflammation. A 2024 systematic review found similar patterns: disrupted gut bacteria and problems with the mucus layer that protects the intestinal wall in mice. Whether this translates to humans is an open question. The human gut is highly variable and resistant, and we don't yet have strong studies confirming the same effects in people. Reproductive health: Animal studies have found that glyphosate-based herbicides can interfere with reproductive hormones, including disrupting egg cell development in mice and reducing the number of eggs available in sheep’s ovaries. However, the doses used in these experiments were high, so it’s not yet clear whether the same effects would occur in humans. On the human side, a 2021 pilot study led by Mount Sinai researchers tested urine samples from pregnant women across the U.S. and found glyphosate in 95% of them. The study also found a possible connection between higher glyphosate exposure during pregnancy and a subtle physical difference measured in female newborns. That said, some connections weren’t statistically reliable and this was a small study. The researchers themselves said more and larger studies are needed before drawing firm conclusions. What do regulators say about glyphosate safety? In 2015, the International Agency for Research on Cancer (IARC), part of the World Health Organization, classified glyphosate as "probably carcinogenic to humans" (Group 2A). The classification is worth taking seriously. But, there’s an important distinction: IARC classifies hazard, meaning the potential to cause harm under some conditions. It does not assess risk, which accounts for actual exposure levels and the real-world probability of harm. The U.S. EPA, the European Food Safety Authority, Health Canada, and regulatory agencies in Australia and Japan have all concluded that glyphosate is “unlikely to be carcinogenic to humans” at realistic exposure levels. They’re asking a different question: given how much of this people actually encounter, what is the probability of harm? Your actual exposure is what determines your actual risk. What does glyphosate mean for your daily life? At the grocery store: Food residues are small. The EPA’s acceptable daily intake is 1.75 mg/kg of body weight per day. To hit that threshold from oatmeal alone, a 150-pound adult would need to eat roughly 50 pounds of oats every day. But this calculation addresses only one pathway (food), and we don’t yet have robust tools to measure people’s actual total exposure. If reducing exposure matters to you, organic certification prohibits synthetic herbicides, and organic oat products generally test at lower or undetectable levels. Either way, a diet rich in whole grains, conventional or organic, is far better for your health than one that omits them out of fear of residues. On the farm: Occupational exposure is orders of magnitude higher than consumer exposure. Farmers and farm workers who mix, load, and apply glyphosate-based herbicides, especially without protective equipment, face meaningfully different risk profiles. Proper PPE isn’t optional. Integrated weed management strategies that rotate chemical modes of action are also worth taking seriously, both for health and for long-term effectiveness. If you live near a farm: Spray drift is real. Concentrations near field edges can spike during and after application, particularly on windy days. This is an area where I think public health could really step up and empower rural communities with buffer zones, rather than placing the onus on individuals. But for now, knowing your local agricultural calendar and keeping windows closed during application are the first steps. Bottom line Dewayne Johnson was exposed to glyphosate at levels most people will never encounter, and a jury decided he deserved compensation. That outcome is not evidence that the oatmeal in your pantry is dangerous. But it is a reminder that the dose, the context, and the person doing the exposing all matter enormously. Glyphosate is a chemical tool with benefits, trade-offs, and genuine open scientific questions. Learning to hold that complexity without collapsing into panic or dismissal is, honestly, one of the most useful and hardest things to do in navigating modern health science. Love, YLE Your Local Epidemiologist (YLE) is founded and operated by Dr. Katelyn Jetelina, MPH PhD—an epidemiologist, wife, and mom of two little girls. Hannah Totte, MPH, is an epidemiologist and YLE Community Manager. YLE reaches more than 425,000 people in over 132 countries with one goal: “Translate” the ever-evolving public health science so that people will be well-equipped to make evidence-based decisions. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Subscribe
This Extreme Radiation-Resistant Organism Evolved a Remarkable Ability
How is this possible?
NASA-Funded Research Finds Complex Life Defying Record Heat
NASA-supported scientists have discovered an organism that lives at extreme temperatures previously thought impossible for complex life. High temperatures can
Scientists discover whole new genus of deep-sea ‘spaghetti worms’ with suction cups
It is rare to establish an entirely new marine organisms
Scientists uncover oxygen-loving ancestor of all complex life
For decades, scientists have believed that complex life began when two very different microbes joined forces, eventually giving rise to plants, animals, and fungi. But one major puzzle remained: how could these organisms have met if one depended on oxygen and the other supposedly lived without it? New research suggests the answer lies in ancient microbes called Asgard archaea.
The Science Behind the Nobel-Winning Technology That Controls Neurons With Light
Optogenetics revolutionized neuroscience, but its origins come from an entirely brainless organism—an alga.
Scientists looked inside a rock pellet smaller than a grain of rice and found a 445-million-year-old world preserved within it — more than 20 microscopic marine organisms, including a species never seen before
A microscopic time capsule from an ancient ocean reveals an entire ecosystem frozen in stone—and scientists didn't even know to look for it.
Future scientists explore the wonders of biology at STC summer camp
From growing plants and examining cells under microscopes to culturing bacteria and dissecting organisms, middle school students are discovering the excitement of science through STC annual Biology Explorers Camp.
NASA Satellites Uncover Large-Scale Ocean Nutrient Stress
As Earth’s oceans warm, microscopic marine organisms are experiencing increasing stress due to a lack of vital nutrients. A new study
Going with the Flow
Scott Gifford studies the microscopic organisms that shape water quality, ecosystems, and Earth's climate.
Scientists Have Uncovered Previously Hidden Microbial Activity on Human Skin
The most abundant microbes on your skin may not be the ones doing most of the work. Human skin supports vast communities of bacteria, fungi, and viruses that can influence its protective barrier, immune defenses, and overall health. Yet simply cataloging these organisms cannot reveal which ones are active, how they respond to their surroundings,
Taxonomy isn’t sexy science, but it deserves wider appreciation
Letter: Jane Logan pays tribute to her late husband’s lifelong passion for classifying organisms
New ‘fire amoeba’ could assist scientists in finding alien life
Previous research has shown that complex multicellular organisms could only reproduce in temperatures up to 140 degrees.
New Richland Lab Could Transform How Scientists Study Microbes and Boost Regional Jobs
The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
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Your Thymus and Your Healthspan
Our thymus gland plays a central role in the development or our immune system, specifically for supporting T cell development (how these cells got their name, maturation and differentiation in the thymus) and discriminating between self and foreign, non-self antigen proteins with production of dendritic cells. As we age, our thymus gland shrinks—the process known as involution—with progressive change from spongy to fatty tissue, with loss of functionality. But this process, with respect to timeline and extent, markedly varies from one person to the next. And to make things even more complicated, our thymus gland anatomy and precise location in the chest also is highly variable. So the famous Frank Netter diagrams from the 1960s (such as at left below) don’t capture the remarkable heterogeneity that a random set of 12 chest CT scans (below at right). What I consider as 2 landmark papers in Nature this week (here and here) used AI to quantify health of the thymus in 2 large cohorts, and then correlate the metric to a broad array of health outcomes. In this edition of Ground Truths, I’m going to cover three questions: (1) How was thymus health determined by AI?; (2) How is thymus health linked to key clinical outcomes? and (3) Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? Subscribe 1. How was thymus health determined by AI? This was accomplished by extensive work developing and validating an AI pipeline for 2 stages, the first for localization and segmentation of the thymus bed, and the second to quantify a digital marker, termed the thymic health score. There’s a lot to this algorithmic development, so I won’t go into all the details, but just provide a rudimentary outline of what was done. The 1st stage used supervised learning with 2 radiologists reviewing 2,461 chest CT scans. That work trained a 3D U-Net model to automatically identify the thymic bed’s 3D cropped region using center of mass coordinates, which reached 99.8% accuracy. The 2nd stage used a foundation model that was pre-trained with SwAV (which stands for Swapping Assignment between multiple Views), a self-supervised model, that generated a high-dimensional thymus representation of 4,096 features. That compares to the radiology reductionist and subjective scoring of 0 to 3 where 0 means the thymus is fully degenerated and fatty, and 3 is considered dense, intact glandular soft tissue. Notably, the self-supervised learning (SSL) performance was superior to supervised (AUC ~0.75 vs 0.55, respectively) reflecting the shallowness of the 0-3 classifier vs SSL’s holistic, self-taught AI. The thymic health score ranged from 0 to 100, with the highest number indexed to fully preserved thymic health. The algorithmic work extended to explainability with both Shapely value distribution, meaning the model was holistic not relying on any “magic” pixel, and occlusion sensitivity, demonstrating the model’s performance was not affected by ribs, sternum, lung tissue, but rather focused on the thymic bed directly. Below are a few saliency maps from the occlusion sensitivity that indicate the thymic bed focus, not affected by neighboring structures, using the jet color scale. Now the AI was ready for processing ~25,000 CT scans, each over 30 MB files, from the 2 large participant cohorts to provide a thymic health score, it did so in less than 14 hours, which is less than 2 seconds per scan! Share 2. How is thymus health linked to key clinical outcomes? The two cohorts were the National Lung Screening Trial, NLST (N=25,031) and the Framingham Heart Study, FHS (N=2,581) each with baseline demographics and long term follow up of >12 years for health outcomes. From the NSLT, you can see below that increased age and body-mass index were correlated to reduced thymic health. And, overall, men had reduced thymic health scores compared with women. There are a lot of graphs in the paper for outcomes, for both the NLST and FHS cohorts. To simplify the major outcomes, below is a composite Figure with striking reduction of all-cause mortality and for the different causes of death. The results were consistent between the 2 cohorts. For example, the cardiovascular mortality hazard ratio average was 0.57 in NLST and 0.38 in FHS (weighted to be 0.53 for the aggregate). The reduction of mortality also extended to digestive diseases and pulmonary disease (data not shown below). Lung cancer incidence was reduced by 36% for high vs low thymic health (Figure below, with a panel -incidence and b panel-mortality, adjusted for age, sex, BMI, smoking status). Notably, there was a smoker’s paradox: lower incidence and improved survival for lung cancer in smokers who had a high thymus health score. Smoking was associated with lower thymic scores whereas alcohol was not. Higher thymic health was linked to higher HDL cholesterol, lower triglycerides, lower fasting blood glucose, and lower systolic and diastolic blood pressure. Inflammation biomarkers, such as C-reactive protein and interleukin-6, were elevated in the people with lower thymic health scores. In their second paper, the same team looked at the relationship between thymic score and outcomes for 3,476 patients receiving cancer immunotherapy. The non-small cell lung cancer progression-free survival was reduced in patients with low thymic health score. A parallel relationship for survival was seen for other types of cancer including melanoma, breast, and kidney with a 44% lower risk among high thymic scores (Figure). A similar pattern was seen with different immune checkpoint inhibitors. The thymus health score outperformed programmed death ligand-1 (PD-L1)and tumor mutation burden (TMB) assay of the tumor and was an independent prognostic marker of progression-free survival. In this dataset, a direct connect with thymus score and adaptive immune function was noted with a correlation before cancer treatment for both T-cell diversity and thymus T-cell production (a metric known as T cell receptor excision circles). Thymus Removal Study There is a highly relevant citation about thymus function before moving onto ways to rejuvenate it. In 2023, a very important study of thymus removal during cardiothoracic surgery was published, with 1146 patients undergoing thymus removal vs 1146 matched controls (mean age 55 years). The adverse outcomes for thymus removal were striking, with a 2.9 higher risk of all-cause mortality and doubling of cancer incidence, 1.5 fold increase in cancer mortality, and 1.5-fold increase in autoimmune diseases. The immune function showed marked compromise after thymus removal, as reflected by CD4+ and CD8+ T cells (Figure below) Share Ground Truths 3. Are there ways we can promote a healthy (aka rejuvenate) thymus gland in our later years? In recent months we’ve learned a lot about the process of thymus involution and the pathways by which this may be modulated. Thymus involution is primarily due to loss to thymus epithelial cells (TECs) and there are 2 subtypes with different functions: the cortical, responsible for positive selection of T cells, and the medullary, for negative selection. When adipose tissue infiltrates the thymus, thymic adipocytes are pro-inflammatory, knocking out T-cell output. Likewise, systemic inflammation, or “inflammaging,” from smoking, obesity, and chronic stress promote thymic adipocytes. Now, from preclinical studies, we know about key pathways that account for these processes. Historically, back in 2014, FOXN1 was recognized as a single master transcription factor essential for TEC function, with studies in mice with forced FOXN1 upregulation leading to thymus regeneration. That laid the foundation for potential regrowth of quiescent thymus cells. It took awhile to find pathways to accomplish this goal and to even refute its role as the master regulator. The Liver-Thymus Axis Feng Zhang and his team recently showed that injection of an mRNA vaccine to the liver encoding DLL1, IL-7 and FLT3-L in combination, factors known to support thymopoiesis (Figure), successfully enhanced immune function in aged mice. However, the effect was transient. The FGF21 Story Two reports in 2025 addressed the thymus gland’s production of FGF21, a growth factor (fibroblast growth factor 21) and its control of thymus involution. This growth factor is also produced by the liver, but it doesn’t have impact on the thymus in aged rodent models. In contrast, The liver’s hepatocyte growth factor (HGF) has been shown to reverse senescent TEC structural changes. Growth hormone stimulates production of insulin growth factor-1 (IGF-1) in the liver and the thymus. Two small studies in human participants (TRIIM, for Thymus Regeneration, Immunorestoration, and Insulin Mitigation) of 6 and 50 people, respectively, treated with combined human growth hormone, metformin and DHEA, suggested the potential of slowing epigenetic aging and improving thymus mass and function. But the combination of drugs, small sample, and lack of controls make conclusions murky. Increased thymus FGF21 led to increased CD8 T cells in old mice and extended healthspan and improved physical performance. Building on the previous FOXN1 data, ablation of β-klotho, the obligatory co-receptor for FOXN1, accelerated thymic aging. The benefit to FGF21 was confirmed in a companion paper using an FGF21 knock-in mouse model showing thymus enlargement and increased TECs throughout the lifespan. (schematic Figure below). The accompanying editorial for these 2 papers speculated: “The proposed link between age-associated thymus involution and organismal aging is intriguing, and suggests we might seek to achieve systemic rejuvenation by counteracting thymic involution.” Other Factors Lessons from the Axolotl (Mexican Salamander) In an elegant set of experiments of the axolotl (Figure), known for its complete thymus regeneration after total surgical removal, mediators were identified. Surprisingly FOXN1 was dispensable. But midkine, a growth factor, appeared to be the driver, the initiator of thymus cell growth, survival, and repair. Other components that contributed were Postn+ (periostin-expressing mesenchymal niches) and Ccl19, a chemokine protein from the bloodstream. RANK and RANKL RANK (receptor activator of nuclear factor κB its ligand (RANKL) have been considered key regulators of medullary TECs. In a study of both aged mice and human thymus cell cultures, their key role was confirmed, with multiple benefits of resorting TEC function, recruitment of progenitor cells, and T cell development. Subscribe Summing Up This body of work strongly supports the health of the thymus gland as a critical regulator of human healthspan, not just a correlate or link. The new landmark studies are reinforced by the regenerative biology experimental models that have shown, via an array of mediators, that healthspan of aged mice is at least in part dependent on thymus gland function and its critical role for maintaining adaptive immunity. It sure seems that we’d be better off having an immune reservoir of naive T cells instead of a profile in older adults of exhausted, low quality, memory T cells, with a senescent phenotype. It is striking that we ignored the importance of the thymus gland for many decades. A wake-up call was the results of the thymectomy matched control study reviewed here, with the opposite of high thymic health score improved health outcomes. The convergence of AI and healthspan here is notable. The exceptional and laborious work for developing and validating (no less explaining) the AI to quantify thymus health set the foundation for probing the connect the major health outcomes in two cohorts with extensive follow-up. We’ve never had a way to meaningfully quantify the thymus gland before, so this represents important leverage of supervised, self-supervised, and transformer models. The study wouldn’t have been possible without AI. And it begs the question as to whether there are ways we can maintain our thymus at a high health score. But it’s not so simple to rejuvenate our thymus. There are multiple risks including the induction of autoimmunity, increasing the risk of cancer, and inducing a pro-inflammatory state. For example, factors that increase TEC proliferation could compromise the medulllary negative selection process and leak out auto-reactive (self-attacking) T cells. Thymic cells could be induced to proliferate, but we know, for example, that growth hormone and IGF-1 are associated with an increase risk of cancer. If thymus rejuvenation doesn’t clear out the accumulated senescent cells in older adults, then inflammation within the gland could block the production of TECs. Keeping these risks in mind, we now have identified many ways to keep our thymus healthy as we age that undoubtedly will be tested in clinical trials going forward. Ultimately, the benefit-to-risk tradeoffs will be defined. In the meantime, we have desperately needed an immunome. As I’ve stressed in multiple prior Ground Truths, we have no test in the clinic to assess a patient’s immune status! It was very encouraging for me to get an email from Hugo Aerts, the senior author of the landmark papers in the days after they were published: “I also wanted to say that your Substack on “Why We Need an Immunome” was inspiring for this work. We found it a very compelling perspective and greatly enjoyed reading it.” Just having an assessment of a person’s immune status via a chest CT scan, with millions of these performed per year, might help in guiding the right immunotherapy for cancer (e.g. more intensive, combinations for those with low thymic health scores) and help define people who are increased risk for age-related diseases of cancer, cardiovascular, and neurodegenerative. The main theme of Super Agers is that we now have many layers of data (genetics, proteins, biomarkers, organ clocks that can be integrated via multimodal AI) for us to define a person’s specific risk decades before one of these age-related diseases leads to symptoms, enabling prevention. From the new studies this week, we can add thymus health score as yet another way to understand a person’s risk, a window into their adaptive immune system and healthspan. And perhaps someday we will be able to safely rejuvenate the thymus, or maintain its health through one’s life, and use the thymus health score to monitor. NB: I wrote this post (No A.I.) A Quick Poll Loading... ********************************************************************* Thanks to Ground Truths subscribers (now > 200,000) from every US state and 212 countries. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. Please join! If you found this interesting PLEASE share it! Share Ground Truths Paid subscriptions are voluntary and all proceeds from them go to support Scripps Research. They do allow for posting comments and questions, which I do my best to respond to. Please don’t hesitate to post comments and give me feedback. Let me know topics that you would like to see covered. Leave a comment Many thanks to those who have contributed—they have greatly helped fund our summer internship programs for the past two years. It enabled us to accept and support 47 summer interns in 2025! We aim to accept even more of the several thousand who will apply for summer 2026.
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Good science requires much more than evidence
Empiricists believe that scientific theories are true only if they make correct empirical predictions: if we can't verify these predictions, then there is no reason to expect that they tell us anything about reality. However, Professor of Philosophy at King's College David Kyle Johnson argues that this is mistaken. In response to Bas van Fraassen, who has written on this subject for the IAI, he argues that we have many reasons for believing a theory to be true, such as it being parsimonious and having large scope — qualities which have been used throughout the history of science as criteria for judging theories. In 2024, Princeton philosopher Bas van Fraassen wrote a short article for IAI News entitled “Science Does not Describe Reality: The Limits and Benefits of Explanation.” At the time, I was working on two projects (a science book and a Great Course) that, when completed, would (among other things) defend science’s ability to describe reality. I wanted to write a response to van Fraassen, but the projects demanded too much of my attention. But now that those projects are complete, I am in a position to explain the objections to van Fraassen’s thesis. Summarizing van Fraassen’s argumentIn a nutshell, his argument is this: What scientists do is make predictions based on theories and then invite others to test to see whether those predictions are borne out. “If theory T is right, result R should happen in experimental condition C.” Many think that running an experiment that shows that R happens in condition C is proof that theory T is true (and should be believed). But, van Fraassen argues, that R happened in condition C is only a reason to think that R happens in condition C. That’s the only observable, or empirical, result we can actually see, so that is all that we are really justified in believing. (The underlying theory that made that prediction still may or may not be true.) That is why he calls those who accept his position “empiricists.”Before I explain what is wrong with this position, let me explain what it gets right. What van Fraassen Gets RightFirst, a theory correctly predicting the results of an experiment is not, strictly speaking, “proof” that the theory is correct. The basic line of reasoning is this:If the theory T is true, result R should happen. Result R did happen. Thus, theory T is true.In other words:“If T then R. R. Thus, T.”This is a deductively invalid, fallacious mode of reasoning, called “affirming the consequent.” Those premises do not guarantee that the conclusion follows. “If I am in Pennsylvania, then I am in the USA. I am in the USA. Thus, I am in Pennsylvania.” Clearly that argument doesn’t guarantee its conclusion; neither does the above argument.However, science is not a deductive method of reasoning; it is an inductive one. And inductive arguments merely try to raise the probability of their conclusion, not “prove” them for certain. Thus, the fact that an experimental result doesn’t prove a theory is true is irrelevant; it’s not supposed to. That is not what scientific reasoning is about.___If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational.___Second, it’s also true that a single experimental result doesn’t provide enough justification to believe that a theory is true. Scientists do not come to a consensus about whether a theory is true by looking at a single experiment; they look at all the evidence to determine where the preponderance of evidence points. The mere fact that I am in the USA raises the probability that I am in Pennsylvania, but not nearly enough to conclude that I am in Pennsylvania. However, if I am also regularly encountering people wearing Eagles and Phillies hats and seeing advertisements for Founding Father tours, I probably am. In the same way, a theory successfully predicting the outcome of one experiment is not enough to conclude that it is true; but if a theory makes a wide variety of predictions that are all vindicated by multiple experiments, performed by many different groups and people, all actively trying to prove the theory false (which is what good scientific experiments are designed to do)—that is a good reason to conclude that the theory is true. In other words, if you repeatedly try to prove something false but can’t, that is a very good indication that it isn’t. The problem of underdeterminationIn reply, those whom van Fraassen calls “empiricists” often point to the “problem of underdetermination.” For any given theory that makes successful predictions about what happens in experimental conditions, there are countless other possible theories that make exactly the same predictions—and since they do, the experimental evidence in question is just as much reason to accept any of those theories as it is to accept our original one. Thus, the argument goes, we have no way of knowing whether our original theory is true, or one of the other “predictively equivalent” theories is true. SUGGESTED VIEWING How Occam's Razor changed the world With Johnjoe McFadden As an example of underdetermination, philosophers often offer this example. The evidence of fossils seems to provide reason to conclude that the universe is quite old; ancient fossils are what the “ancient universe” hypothesis predicts. But it’s also possible that God created an ancient-looking universe 200 years ago, complete with a “fake” fossil record for us to find, to make it look old. The existence of fossils is what that theory predicts too. So, the argument goes, the fossil record can’t be used as evidence that the universe is ancient; the fossil record supports the “200-year-old ancient-looking universe” theory just as much. The problem of underdetermination points out that, for any theory with supporting evidence, we could invent another completely different theory that predicts exactly the same evidence, and thus undermine that evidence’s ability to support the original theory.But this “argument from underdetermination” betrays a fundamental misunderstanding of what scientific reasoning is and how it works. To explain, let me use another rather strange (but very real and commonly discussed) philosophical thought experiment called “The Grue Problem.” The “Grue” ProblemSuppose I want to know what color emeralds are, so I observe a few, see that they all appear green, and form the theory that “all emeralds are green.” I thus predict that the next 100 emeralds I find will also appear to be green. And let’s say that happens, and so I thus conclude that my theory that all emeralds are green is true. Now, one might rightly point out that I don’t know for sure that all emeralds are green—I have not seen them all. Maybe some I haven’t found yet are blue. Fair enough. After all, we used to think that all swans were white, until we found some black ones. But let’s say that I go on a quest and collect every emerald in the universe—and, for the sake of the argument, let’s say I can do this, and can even know that I have every one of them. So, I collect them all, look at them all, and verify that they all appear green. Can’t I now rightly conclude that all emeralds are green?Inspired by the problem of underdetermination, a friend might argue that I cannot.Sure, they all appear green now—but there could be another kind of color called “grue.” Something is grue if it is green up to a certain point in time, but then spontaneously turns blue. And there could be an infinite number of “shades” of grue. Something that is one shade of grue will turn blue at noon today, but something that is another shade of grue will turn blue at noon tomorrow, etc. So yes, the emeralds appear green now; and since they haven’t turned blue yet, they are not some “past” shade of grue. But they might be some “future” shade of grue (e.g., they may turn blue at noon tomorrow). And since all future shades of grue are consistent with “being green up to this point in time,” the evidence you have is completely consistent with the notion that all emeralds are some future shade of grue, rather than green. Indeed, that they would appear green until now is what the “some future shade of grue” hypothesis predicts. So, we have just as much reason to conclude that all emeralds are some shade of grue as we do to conclude that they are green.You’re probably thinking “It’s not equally possible that the emeralds are grue; they are obviously green.” You are right! But explaining why your instinctive reaction to my friend’s argument is correct will help inform why van Fraassen’s “empiricist” is wrong and science actually does describe reality.The main mistake my friend makes is in thinking that the “empirical evidence” (of all the emeralds appearing green) is (or even should be) all I am using to draw the conclusion that all emeralds are green. It is not. I am also considering known facts about how colors typically work; things don’t usually change color, and when they do, they don’t do so suddenly, without cause, and all at once. So, even though the simple evidence of the emeralds all appearing green up to this point is consistent with them being some future shade of grue—that is even what the grue hypothesis “predicts”—it is still exceedingly unlikely that they are. The hypothesis that they are green is much more likely. Understanding science refutes the problem of underdetermination The misunderstanding about science that the “empiricist” pointing to “the problem of underdetermination” makes is similar to the one that my friend made. Science is not just about considering experimental evidence; in fact, it’s not even just about considering empirical evidence. As Ernan McMullin and many other philosophers of science have pointed out, the inference that makes science is “inference to the best explanation” (sometimes called “abduction” or “retroduction” by McMullin). While, depending on the circumstances, scientists use many different kinds of reasoning, science as a whole is, simply put, the process of considering multiple competing explanations and comparing them to certain criteria—explanatory criteria (the kinds of things explanations must be and do, by definition, to be a good explanation)—to see which explanation is the best.And these criteria do not deal only with empirical results. Yes, successful predictions raise the probability of a hypothesis, but it’s also the case that the more new assumptions a theory makes, the less likely it is to be true; every new assumption presents an opportunity for the theory to be false. (The fewer assumptions a theory makes, the simpler or “more parsimonious” it is said to be.) Likewise, the more existing evidence a theory contradicts, the less likely it is, because in order for a theory to be true, every piece of evidence it contradicts has to be somehow faulty. (The fewer established theories a new theory contradicts, the more “conservative” it is said to be.) And, obviously, the more something explains, the better explanation it is. (This is called having “scope.”) If a theory raises unanswerable questions, it’s not expanding our understanding, and thus is not wide-scoping. Scientists consider all these things when deciding which theory to accept, because the theory that adheres best to these explanatory criteria is most likely to be true.___the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth.___The reason the grue hypothesis is no good is because it invents an entirely new kind of color—not just a new shade, but an entirely different category of color (a different way colors work)—and thus is not parsimonious. It raises unanswerable questions about how and why emeralds would just spontaneously change from green to blue (and thus does not have wide scope). And it contradicts what is already well established about how color works (and thus is unconservative).The theories that the problem of underdetermination points to do the same thing. Yes, the theory that God created an “ancient-looking universe” (complete with an ancient-looking fossil record) two hundred years ago is also consistent with the empirical evidence (of a fossil record) that presently exists; but that theory is monumentally unparsimonious (it requires many extra assumptions about infinite entities) and not wide-scoping (it raises unanswerable questions about why God would do such a thing). So, I can rationally conclude that it is false.Indeed, the history of science includes many examples of theories that were rejected because they lacked parsimony and/or scope, even before their falsity (and the truth of their competing theory) was confirmed by observation. As I point out in my book, geocentrism was rejected by the scientific community because it lacked parsimony, almost 200 years before the observation of parallax confirmed that the Earth moves around the sun. And the continuum theory of matter was completely rejected by 1860, because it couldn’t explain chemical reactions or organize matter into a periodic table, even though the experiments that eventually confirmed atomic theory weren’t even proposed until the 1870s. Solving the best of a bad lot problemIn response, the “empiricists” are likely to object, this time pointing to the “best of a bad lot” problem. “We have no reason to conclude that an explanation that has been shown to be better than others is true because we have no guarantee that the true theory was among those that we were considering.” If you have a “lot” (a collection) of poor explanations, even the best one is not true.The responses to this problem, however, are numerous. Peter Lipton argues that the set of hypotheses that scientists consider are not just randomly selected and thus unlikely to contain a theory that is true; they use existing knowledge to home in on what is most likely to be true. A doctor trying to explain abdominal pain is not going to bother wondering whether demons are causing it; they are going to stick with things like appendicitis and kidney stones, because they are most likely. Further, despite its name, inference to the best explanation is not just the process of comparing hypotheses and accepting the best one; we also want one that is a good explanation in its own right. If it’s not, we are going to keep looking until we find an explanation that is. And while that process does not guarantee that we will come across the exact truth, it’s very likely that the theory that emerges as the best will be at least approximately true, and thus we will be justified in believing it. And lastly, as I point out in my book, although many theories not based in scientific evidence (like geocentrism and continuum theory) have been completely overturned, science almost always progresses by the refinement of scientifically established theories—not their replacement. (Although our sun is not the center of the universe, heliocentrism was our first step in understanding the Earth’s true place in the universe.) So even if a theory we accept today may not be completely right, accepting it is a step on the journey toward the complete truth. The example of atomic theoryNow, it’s worth pointing out that most empiricists are not skeptical of all scientific theories; they are only skeptical of the ones that hypothesize the existence of “unobservables.” It’s not like they think that round Earth, heliocentrism, and germ theory are just useful (but untrue) “instruments” for making predictions about how to most efficiently navigate the seas, predict planetary motion, and treat diseases. They admit that the Earth actually is round, that the planets revolve around the sun, and that germs exist and cause disease. These facts and entities can be observed; the theories that suggest they exist are true. It’s only when theories start hypothesizing the existence of unobservables—like electrons, or quantum fields—that can’t be observed directly, that we should start doubting the theories’ truth. And to be fair to van Fraassen, in this published work, he doesn’t really say that we should doubt the truth of such theories. Only that scientific reasoning does not rationally force us to accept them as true. Skepticism, or agnosticism, he argues, is warranted. SUGGESTED READING Science is based in metaphor By Andrew Reynolds But the history of atomic theory throws a monkey wrench into that argument. Atoms used to be unobservable; again, scientists first accepted the theory that they exist because it had such grandiose explanatory power. But then atoms were seen with electron microscopes. They thus moved into the category of the observable. But this didn’t substantially change anything about what scientists were justified in believing; it certainly didn’t change any “atomic skeptics’” minds. It just confirmed what everyone already knew! If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational. The fact that the thing itself is not technically observable does not make doubting its existence rational.What’s more, the atoms were seen with an electron microscope. But electrons are themselves unobservable. How can an electron microscope reveal an atom if electrons are not real? This leads us to what is famously known as Hilary Putnam’s “miracle argument.” It’s (not) a miraclePhilosopher Hilary Putnam’s miracle argument is somewhat famous. Basically, he argued that a scientific theory being able to repeatedly make successful predictions—even about unobservables—without being at least approximately true would require a “miracle.” In other words, it would be such an improbable occurrence that it could not rationally be believed—the better explanation for why scientific theories about unobservables make the right predictions is because the unobservable entities and structures they hypothesize exist.Van Fraassen has addressed this argument. Indeed, in his original article, where he references Alison Gopnik’s point about orgasms not being “necessary for procreation” even though the desire for orgasm “drives the creation of progeny,” he is pointing to his own argument about how organisms are not naturally selected by evolution to get true beliefs; to the extent that belief-forming processes are selected for, the ones that are selected are the ones that are useful for survival—not the ones that produce true beliefs. In the same way, van Fraassen argues, scientific theories are accepted, not because they are true, but because they aren’t falsified; they make successful predictions; that’s what makes them “stick around.” So, the fact that they make successful predictions (and thus became accepted) is not a reason to think they are true.This argument is similar to C. S. Lewis’s “argument from reason,” which he used to argue against evolution: “The truth of evolution undercuts our ability to know that it is true.” Lewis’ argument famously failed; Elizabeth Anscombe, by Lewis’s own admission, demolished Lewis in a debate on the topic, and I have explained elsewhere why modified versions of the argument fail as well. In short, it’s because it fails to recognize that a belief-forming process can make an organism more likely to survive because it reliably produces true beliefs. It is therefore not the case that beliefs generated by naturally selected belief-forming processes are automatically false or unjustified.In the same way, the reason a theory “sticks around” could be because it’s not falsified, because it “makes correct predictions.” But the reason it makes correct predictions is most likely because it is true. (In pointing this out, I am echoing the arguments of Musgrave, Lipton, Psillos, and Kitcher, who refuted van Fraassen’s argument and analogy long before his 2024 article.) It would be a huge coincidence that it could do so without being true. And that is the point of Putnam’s miracle argument. Thus, contrary to van Fraassen’s suggestion, the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth. ConclusionLet me close by saying something about the fact that empiricists don’t doubt the truth of all scientific theories, just the ones that hypothesize unobservables. In today’s society, this theory is dangerous to espouse publicly. The nuance between being skeptical about all of science, and just the highly technical theories about unobservables, is guaranteed to be lost to the average reader. And there is so much unjustified skepticism and doubt about the findings of science and experts that a headline like “Science Does Not Describe Reality” could easily fuel the anti-science movement, worsen climate change denial and cause the next pandemic.This is why I believe it was important to still respond to van Fraassen’s article, a full two years after he wrote it. Not only, as I have argued, does it represent a philosophically inaccurate view of how scientific reasoning works and what scientific reasoning can do, but it is a dangerous view to boot. It should thus be rejected.
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