Scientists looking for dark matter have looked almost everywhere they could imagine: deep underground detectors, powerful particle colliders, precision telescopes, and maps of the universe itself. Yet, despite making up most of the matter in the cosmic realm, dark matter remained frustratingly invisible.

Now, researchers think they may have found a profoundly different way to look for it: by listening to black holes collide.

A new study published in Physical Review Letters suggests that gravitational waves—the tiny ripples in spacetime generated when black holes merge—may carry subtle fingerprints of dark matter if those black holes happen to collide within dense concentrations of the mysterious substance.

More intriguingly, when researchers applied their method to real gravitational-wave observations, one previously recorded event appeared to show a tentative preference for exactly that kind of hidden environment.

The results do not amount to a discovery of dark matter. Researchers repeatedly stress that alternative explanations are possible and that additional observations will be required. Still, the work opens a new observational front in one of modern physics’ longest-running mysteries.

“We know that dark matter is around us. It just has to be dense enough for us to see its effects,” co-author and MIT postdoc research fellow, Dr. Josu Aurrekoetxea, said in a press release. “Black holes provide a mechanism to enhance this density, which we can now search for by analyzing the gravitational waves emitted when they merge.”

Dark matter is believed to account for roughly 85 percent of all matter in the universe, yet it has never been directly detected. Scientists infer its existence because galaxies rotate too quickly and large-scale cosmic structures behave as though far more mass exists than telescopes can see.

Unlike ordinary matter, dark matter appears to interact almost exclusively through gravity, making it extraordinarily difficult to detect using conventional techniques.

That challenge motivated researchers to pose a different question. Instead of trying to see dark matter directly, could scientists detect its influence on something else?

The researchers’ answer focused on gravitational waves. These are disturbances in spacetime first directly detected in 2015 by the Laser Interferometer Gravitational-Wave Observatory (LIGO). Since then, the international LIGO–Virgo–KAGRA collaboration has cataloged dozens of black hole mergers and transformed gravitational-wave astronomy into one of the fastest-moving areas of astrophysics.

Traditionally, those signals have been treated as extraordinarily clean probes of the black holes themselves. However, in this recent study, researchers argue that the environment around merging black holes may matter more than previously thought.

The study centers on a class of hypothetical dark matter candidates called ultralight scalar particles. These represent exotic fields that appear naturally in many extensions of the Standard Model of particle physics and have long been considered viable dark matter candidates.

Under the right conditions, ultralight scalar particles could accumulate around spinning black holes, forming extremely dense clouds. Moreover, some of those clouds could become astonishingly concentrated.

According to researchers, a process called superradiance may allow rapidly spinning black holes to transfer rotational energy into surrounding ultralight particles, dramatically amplifying them.

In some scenarios, those dark matter structures could reach densities more than 30 orders of magnitude greater than the average dark matter density in our galaxy. If a pair of black holes then spiraled together inside one of these environments, the surrounding scalar field would slightly alter their orbital motion.

That change would be subtle but measurable.

Rather than producing the gravitational-wave “chirp” expected from two black holes merging in empty space, the waves would show tiny distortions in timing and phase evolution, essentially arriving with an altered rhythm.

To test the idea, researchers developed a new semi-analytic waveform model capable of predicting how black hole mergers should appear embedded within environments of scalar dark matter. They then validated those predictions using full numerical relativistic simulations that model black hole mergers inside dense scalar fields.

The simulations showed that dark matter-like scalar structures could survive the violent inspiral process better than many earlier models had suggested.

Previous thinking often assumed equal-mass black hole binaries would destroy surrounding dark matter structures before merger. However, the new simulations suggest the opposite may sometimes occur. Portions of those structures can persist and potentially leave observable signatures in gravitational waves.

Armed with their model, the researchers turned to reality.

The team analyzed 28 gravitational-wave events from the publicly available GWTC-3 catalog collected by LIGO, Virgo, and KAGRA. Most events behaved exactly as expected.

Twenty-seven appeared consistent with black holes merging in a vacuum. But one event—GW190728, detected in 2019—stood out.

When analyzed under assumptions tied to superradiance, the signal showed what researchers describe as tentative evidence for a scalar environment surrounding the merger. The statistical preference reached a Bayes factor of approximately ln(B) ≈ 3.5—enough to attract attention but well below the standard required for a discovery claim.

If that interpretation ultimately proves correct, the data would point toward an ultralight scalar particle with a mass around 10^-12 electron volts.

That would place it in an area already discussed in theoretical dark matter research, although the authors acknowledge existing black hole spin measurements create some tension with portions of that parameter space.

Importantly, the researchers emphasize that they cannot rule out more ordinary explanations.

Environmental effects, parameter indeterminacies, or constraints in current waveform models could potentially mimic some of the observed behavior. Researchers carefully examined possibilities, including orbital eccentricity and line-of-sight acceleration, and found no strong evidence that those effects explain the signal, but warn that confirmation will require future observations.

“The statistical significance of this is not high enough to claim a detection of dark matter, and further checks should be performed by independent groups,” Dr. Aurrekoetxea said. “What we think is important to highlight is that without waveform models like ours, we could be detecting black hole mergers in dark matter environments, but systematically classifying them as having occurred in vacuum.”

That said, further checks of the researcher’s theory may arrive sooner than expected.

Current gravitational-wave observatories continue collecting data, and next-generation instruments such as the Einstein Telescope and Cosmic Explorer are expected to detect mergers with far greater sensitivity and over longer durations. That improvement could make tiny environmental signatures easier to isolate from ordinary black hole physics.

For now, the result remains an intriguing hint, but not yet proof.

Nevertheless, after decades of dark matter remaining elusive through light, particles, and laboratory experiments, researchers are beginning to explore the possibility that the universe’s missing mass may announce itself in an entirely different way. Not by being seen. But by changing the sound of spacetime itself.

“We now have the potential to discover dark matter around black holes as the LVK detectors keep collecting data in the coming years,” co-author and physicist at the Center for Cosmology in Belgium, Dr. Soumen Roy, said. “It is an exciting time to search for new physics using gravitational waves.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

Traditionally, consciousness has been treated as an exclusive club. Humans are unquestionably members. Most animals are often assumed to be on the outside. Plants, fungi, bacteria, and machines are typically regarded as little more than biological or mechanical systems lacking any real awareness.

However, a recent review published in Frontiers in Psychology argues that science could be asking the wrong questions and making incorrect assumptions about consciousness.

Dr. Jeff Sebo, a philosopher and professor of environmental studies and bioethics at New York University, explores an intriguing issue in modern science and philosophy: what kinds of beings should we assume are conscious before definitive proof exists.

Rather than focusing only on humans or familiar animals, Dr. Sebo’s analysis examines whether plants, fungi, bacteria, AI systems, robots, and perhaps even all matter itself could possess some form of subjective experience.

While it may sound like a mere philosophical debate, perceptions of what qualifies as consciousness influence a wide range of fields, from biomedical research to the ethical principles guiding humanity’s relationship with nature and emerging technologies.

“Questions about the distribution of consciousness in the world arise constantly in both science and ethics,” Dr. Sebo writes. “These assumptions shape everything from research design and laboratory protocols to farming practices and wildlife management policies.”

Historically, science has often assumed that nonhuman beings lack consciousness. Over the past few decades, however, a growing body of research has increasingly challenged that view, with studies suggesting that many animals—including chimpanzees, dolphins, octopuses, and even insects—possess surprisingly sophisticated cognitive abilities and can exhibit signs of self-awareness, emotion, planning, and tool use.

In 2024, forty scientists and philosophers, including Dr. Sebo, signed the New York Declaration on Animal Consciousness. The decree states that, based on the mounting empirical evidence, there is a “realistic possibility of conscious experience” in many animals. Support for the declaration has expanded dramatically, with the number of signatories growing to nearly 600 scientists and philosophers as of May 2026.

In his recent paper, Dr. Sebo takes the consciousness debate further by challenging the long-standing assumption that nonhuman beings lack consciousness unless overwhelming evidence proves otherwise. He argues that this default skepticism may actually be holding science back.

“The traditional skeptical assumption about nonhuman consciousness may be too restrictive given the current state of evidence and theory,” Dr. Sebo writes. “When we search for evidence with an open mind and non-anthropocentric methods, we tend to find at least some indicators of subjective awareness across a wide range of biological and artificial systems.”  

Instead of treating consciousness as a simple yes-or-no question, Dr. Sebo analyzes several possibilities for how consciousness may be distributed across the natural and artificial world, and examines the default assumptions scientists use when evidence remains uncertain.

One possibility is that all animals are conscious. Similarly, the concept holds that all living beings are conscious, including plants and fungi. A third prospect is the idea that any organism capable of processing sensory information may possess awareness. Another approach centers on complex cognition, potentially extending consciousness to future AI systems.

The most radical possibility is panpsychism, the philosophical idea that consciousness is a fundamental property of matter itself. However, Dr. Sebo cautions that even if simple forms of consciousness existed at the level of matter, further theory would be needed to explain how, or whether, complex conscious experience emerges in larger systems.

Dr. Sebo does not argue that a single default assumption about consciousness is always best. Instead, he argues that scientists and ethicists may need different assumptions for different purposes, depending on the evidence, the research question, and the ethical risks involved.

“We should select different default assumptions about the distribution of consciousness for different purposes and in different contexts, both within and beyond the animal kingdom,” Dr. Sebo writes. “Overall, the aim is to balance theoretical rigor with practical progress, recognizing that assumptions work differently when taken as truth claims and when taken as mere tools.”

One of the central challenges to understanding consciousness is that it remains notoriously difficult to study.

Scientists can observe behavior, brain activity, and information processing, but subjective experience itself cannot be directly accessed from the outside. In philosophy, this is known as the “problem of other minds.” Humans cannot directly verify another being’s inner experience in the same way they can access their own.

“We can directly observe behaviors and anatomies, but not thoughts and feelings,” Dr. Sebo writes. “These epistemic barriers limit our ability to draw firm conclusions about which beings are conscious.”

The inherent inability to observe subjective awareness has led researchers to develop new approaches, including the search for so-called “markers” of consciousness in animals and even in AI systems. By comparing humans and nonhumans, scientists hope to identify similarities that indicate the presence of subjective experiences in animals and in technology.

However, these techniques may have significant limitations because they rely heavily on identifying markers that resemble human consciousness. If consciousness exists in many forms, some animals and potentially future AI systems could exhibit signs of awareness fundamentally alien to human experience, making them much harder for researchers to recognize.

The paper also revisits the so-called “hard problem of consciousness,” the enduring mystery of how physical systems like brains produce subjective experience at all. Even if neuroscience eventually explains how the brain processes information, researchers will still struggle to explain why those processes feel like something from the inside.

Because of the profound uncertainties surrounding consciousness, Dr. Sebo argues that rigid skepticism toward nonhuman awareness may no longer be scientifically justified. Instead, he suggests researchers may benefit from a more flexible, probabilistic approach. Rather than treating entities as either conscious or mindless, scientists could assign varying probabilities of consciousness based on the available evidence.

Adopting this more holistic approach to consciousness could have profound ethical implications, as it would force people to rethink their attitudes towards animals, plants, and artificial intelligence.

If a creature or machine has even a modest chance of experiencing suffering, Dr. Sebo argues society may need to consider the moral risks of ignoring that possibility. Mistakenly treating a conscious being as a mere object could allow enormous harm.

The analysis compares the dangers of false positives and false negatives. Mistakenly treating a nonconscious object as conscious could waste resources or encourage unnecessary emotional attachment. But mistakenly treating a conscious being as though it lacks feelings or awareness could allow suffering on a massive scale.

“At the theoretical level, our defaults should ideally balance the risk of false positives and the risk of false negatives,” Dr. Sebo writes. “At the practical level, our defaults should also reflect what particular agents are able to achieve and sustain at present and what will build momentum toward a better calibrated moral circle in the future.”

The argument becomes especially complicated in the context of artificial intelligence. As Dr. Sebo notes, advanced AI systems could eventually force society into deeply difficult ethical territory.

On the one hand, if future AI systems become capable of mimicking human behavior convincingly enough to persuade society they are conscious, people may eventually face pressure to grant them rights or legal protections.

On the other hand, the paper argues that granting rights or political standing to machines that are not actually conscious could create serious societal dangers. Beyond deepening humanity’s dependence on advanced technologies, Dr. Sebo notes that some experts warn such decisions could even introduce existential risks if increasingly powerful AI systems were treated as entities with genuine moral or political standing.

“The result could be human disempowerment, perhaps even extinction—all for the sake of entities with no inner mental life,” Dr. Sebo writes.

​At the same time, Dr. Sebo cautions against dismissing AI consciousness outright under a default stance of skepticism. He notes science’s long history of underestimating animal consciousness serves as a warning about the risks of assuming unfamiliar minds are impossible.

​Rather than arguing for a single universal standard, Dr. Sebo emphasizes that different situations may require different assumptions about consciousness. Scientific theory, practical research, ethical theory, and real-world policymaking all involve different risks and goals, meaning each may require its own approach.

For example, scientists trying to open new lines of research may benefit from broader assumptions about consciousness, while policymakers designing regulations may need more cautious, incremental standards.

One of the paper’s most striking themes is that consciousness may not be a rare phenomenon restricted to humans and a handful of advanced animals. Instead, the universe may contain a far wider spectrum of minds than humanity can currently imagine.

That possibility carries profound implications for fields ranging from neuroscience and philosophy to agriculture, environmental policy, robotics, AI development, and even the search for extraterrestrial life.

​Ultimately, the idea also raises deeply unsettling questions about humanity’s relationship with the rest of existence—and whether people may have vastly underestimated the presence of conscious experience in the world around them.

“The stakes of our default assumptions about the distribution of consciousness are high,” Dr. Sebo concludes. “As progress continues, our default assumptions about the distribution of consciousness could shape our decisions in a range of contexts, determining the trajectory of consciousness science and the fates of countless entities.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

The idea that human consciousness might arise from odd quantum phenomena has intrigued scientists, philosophers, and science fiction writers, inspiring debate about whether the “hard problem” of consciousness could be explained by quantum effects.

A sweeping new review published in Frontiers in Psychology takes a hard look at the field and concludes that though quantum theories of consciousness are becoming more experimentally grounded, none have cleared the enormous scientific obstacles required to explain subjective experience.

The paper, authored by Xun Ma and Aoping Wang of Xiamen University in China, evaluates some of the most prominent quantum consciousness theories using three key lenses: whether the proposed quantum effects can physically exist in the brain, whether they actually explain conscious experience philosophically, and whether they can be experimentally tested against conventional neuroscience models.

The researchers argue that many discussions related to “quantum consciousness” rely more on emotional rhetoric than on measurable science.

“Quantum-theoretical terms are often invoked in a largely narrative or analogical manner without specifying their precise physical meaning or empirical applicability,” researchers write. “This practice often lacks rigorous argumentation, remains insufficiently constrained by clear mechanisms or empirical support, and therefore does not yet provide a substantive solution to the problem of consciousness.”

In the past few years, interest in the idea of quantum biology has steadily increased. Scientists have already demonstrated that quantum effects can play functional roles in biological systems such as photosynthesis and bird navigation. But the leap from quantum chemistry to human awareness remains enormous.

Central to the debate is consciousness itself, which remains one of science’s most enduring and elusive mysteries.

Neuroscience has become increasingly successful at explaining how the brain processes information, stores memories, and controls behavior — what philosopher David Chalmers famously labeled the “easy problems” of consciousness.

The harder question is why physical processes in the brain produce subjective experience at all. Why does seeing red feel like something? Why is there an inner experience accompanying thought?

Quantum theories try to bridge that explanatory gap by proposing that classical neuroscience alone may be insufficient.

In their review, Ma and Wang focus on three major “families” of theories currently attracting scientific attention.

The first and most famous is the Orch OR theory, developed by physicist Roger Penrose and anesthesiologist Stuart Hameroff. This model proposes that quantum computations occur within microscopic structures within neurons called microtubules. According to the theory, coordinated quantum collapses inside these structures generate moments of conscious awareness.

The idea has long been controversial because the brain is warm, wet, and noisy, conditions generally considered hostile to fragile quantum states. Physicist Max Tegmark famously argued in 2000 that quantum coherence inside neurons would collapse far too quickly to matter for cognition.

However, researchers note that more recent laboratory experiments have produced intriguing results. Some studies have identified unusual quantum-optical behaviors in microtubules, including coherent oscillations and energy-transfer effects that persist longer than previously expected. Other experiments suggest anesthetic drugs may interfere with these microtubule dynamics, possibly supporting Orch OR’s claim that consciousness depends on quantum processes.

Still, researchers emphasize that nearly all of this evidence comes from simplified laboratory systems rather than living human brains.

“Current expositions of Orch OR tend to remain at the level of an intuition: if there are quantum processes, novel conscious states may arise, without stating a clear rule of derivation from quantum-state dynamics to the what-it-is-likeness of experience,” researchers write.

In other words, even if quantum effects exist inside neurons, scientists still have no explanation for why those effects should generate subjective awareness.

The second major theory examined in the review concerns nuclear spins and hypothetical structures known as Posner molecules. Proposed by physicist Matthew Fisher, the theory suggests that phosphorus atoms inside the brain may preserve quantum phase coherence long enough to influence neural processing.

Unlike electron-based quantum systems, nuclear spins are relatively immune to environmental noise, making them potentially more stable in biological tissue. The theory predicts that subtle differences between isotopes, atoms with different nuclear characteristics, could shape brain function or even consciousness itself.

Some experiments involving lithium and xenon isotopes have hinted at unusual spin-related biological effects. However, researchers stress that evidence remains sparse and heavily disputed.

Scientists have yet to directly observe long-lived quantum entanglement in Posner molecules inside living brains. Therefore, competing explanations rooted in conventional chemistry also remain plausible.

Ma and Wang describe the nuclear-spin hypothesis as scientifically intriguing but philosophically incomplete. Even if quantum spins influence neural activity, that alone would not explain why consciousness exists.

The third family of theories involves reports of large-scale “non-classical” signals detected using MRI scans. In 2022, research led by physicist Dirk Kerskens reported heartbeat-linked quantum-like signals in the brains of conscious participants. The findings generated immediate attention because they indicated the presence of macroscopic quantum effects across the entire brain.

However, critics quickly challenged the work, arguing that the observed signals could simply reflect conventional physiological artifacts associated with heartbeat and blood flow.

The new review notes that the controversy remains unresolved. Independent replications have not yet confirmed the findings, and the debate has become a case study in the difficulty of separating genuine quantum signals from ordinary biological noise.

Nevertheless, Ma and Wang maintain that these theories of quantum consciousness deserve serious scientific testing rather than outright dismissal.

Importantly, researchers praise the growing shift toward experimentally verifiable predictions. Unlike earlier eras of quantum consciousness speculation, modern researchers are increasingly proposing measurable hypotheses involving anesthesia, isotope substitutions, fluorescence signals, and cutting-edge imaging techniques.

That transition from abstract philosophy to laboratory science may represent the field’s biggest advance.

Researchers call for stricter scientific standards moving forward, including pre-registered studies, open data sharing, multi-center collaborations, and publication of null results. Because quantum consciousness claims are so extraordinary, they argue, the burden of proof must remain exceptionally high.

In their paper, Ma and Wang also repeatedly return to one key distinction: discovering quantum influences in the brain would not automatically solve the problem of consciousness itself.

Even if future experiments verify that neurons create quantum consciousness in some capacity, the central mystery of subjective experience could remain untouched.

“Quantum mechanisms, therefore, look, at the current stage, more like potential realizers of consciousness than like complete theories of consciousness,” researchers conclude.

That finding may frustrate anyone hoping for a definitive answer to the question of quantum consciousness. Yet, researchers propose that while no definitive answer exists, the field is slowly maturing from speculative theory into a more stringent scientific enterprise.

For now, the authors argue that caution and curiosity must coexist.

“In the explorations ahead, progress should be guided by the scientific method, advancing with a balance of curiosity and skepticism,” researchers write. “The riddle of consciousness remains profoundly complex: Quantum mechanics may be one piece of the puzzle, but a solution will likely require sustained multidisciplinary collaboration.”

Tim McMillan is a retired law enforcement executive, investigative reporter and co-founder of The Debrief. His writing typically focuses on defense, national security, the Intelligence Community and topics related to psychology. You can follow Tim on Twitter: @LtTimMcMillan.  Tim can be reached by email: tim@thedebrief.org or through encrypted email: LtTimMcMillan@protonmail.com 

Today’s societies often operate under the assumption that education, hard work, and opportunity are the main drivers of upward mobility. Intelligence has traditionally been viewed as part of that formula as well, with decades of research showing that people who score highly on cognitive tests frequently go on to attain higher levels of education and more prestigious careers.

But a new study suggests the relationship between genetics and success may be more complex and more politically sensitive than many social scientists and decision-makers are comfortable acknowledging.

In research published in Scientific Reports, Dr. Petri J. Kajonius, a research psychologist at Lund University in Sweden, found that genetic factors explained most of the long-term relationship between IQ and later educational and occupational outcomes among young adults.

Using data from the large-scale German TwinLife project, Dr. Kajonius examined how cognitive ability measured at around age 23 related to socioeconomic outcomes four years later, including educational attainment, occupational prestige, and occupational socioeconomic status.

By comparing identical twins, who share nearly all of their DNA, with fraternal twins, who share roughly half, Dr. Kajonius was able to estimate how much of the relationship between intelligence and socioeconomic outcomes could be tied to genetics rather than environmental aspects.

According to the findings, genetic influences explained between 69% and 98% of the observed relationship between IQ and later socioeconomic status.

“Genetic factors further explained most of the IQ–SES association (69–98%), and genetic correlations between IQ and SES exceeded environmental correlations,” Kajonius wrote in the paper. “These findings seem to underscore the importance of researchers and policymakers to also consider genetic factors when examining the life outcomes of young adults.”

The findings step directly into one of the most controversial debates in modern science: how much of a person’s life trajectory is controlled by environment versus inherited biology.

Dr. Kajonius is careful not to frame genetics as destiny. Rather, the research argues that inherited traits may play a substantially larger role in educational and occupational outcomes than many public discussions typically acknowledge.

The study relied on data from TwinLife, a long-running German research initiative examining social inequality across the lifespan. The project tracks more than 4,000 families through repeated surveys and assessments.

For the analysis, Dr. Kajonius focused on adults aged 23 to 27. Participants completed standardized IQ testing and reported educational and occupational milestones.

The results showed a strong relationship between IQ scores at age 23 and socioeconomic outcomes several years later. Participants with higher cognitive scores generally achieved higher educational attainment and occupational status by age 27.

However, the most intriguing findings emerged when those correlations were separated into genetic and environmental components.

The study estimated the heritability of IQ at roughly 75%, while educational and occupational outcomes also demonstrated substantial heritable influences. Depending on the metric being analyzed, genetics accounted for the overwhelming majority of the observed connection between intelligence and socioeconomic success.

Environmental aspects still mattered, specifically in education,  but their contribution to the IQ-to-SES relationship was significantly smaller than the genetic overlap identified in the analysis.

Dr. Kajonius provided several possible explanations for this overlap. One possibility is what he describes as “direct or biological pleiotropy,” in which the same genes affect both brain development and traits associated with success, such as motivation or behavioral tendencies.

Another possibility is a more indirect pathway: inherited traits that lead to higher cognitive ability, which in turn provide access to better educational and occupational opportunities.

The findings dispute simplified explanations of inequality that focus exclusively on social structures or environmental disadvantage.

Over the last decade, advances in behavioral genetics and large-scale genetic analysis have increasingly suggested that traits such as educational attainment, personality characteristics, and intelligence are all influenced, at least in part, by heredity.

At the same time, the field remains deeply controversial.

Critics have long warned that research on heredity can be misinterpreted, politicized, or used to support deterministic worldviews. Researchers frequently emphasize that heritability estimates apply to populations, not to individuals, and that this does not mean environmental interventions are irrelevant.

Even highly heritable traits can still be affected by culture, institutions, economics, and personal experience.

Because of that history, studies linking genetics, intelligence, and socioeconomic outcomes often draw accusations of promoting hereditarian thinking or echoing past eugenic arguments. Those concerns have also contributed to caution within the field itself, leaving some areas of the wider “nature versus nurture” debate comparatively underexplored.

“[An] individual’s future socioeconomic status (SES) has been reported to be robustly predicted by cognitive ability (IQ),” Dr. Kajonius notes. “However, research on the genetic and environmental underpinnings of this association in emerging adults remains limited.”

Importantly, the study does not argue that genes determine a person’s value, worth, or inevitable future. Dr. Kajonius also stresses that no single “success gene” exists.

Human outcomes remain extraordinarily complex, formed by countless interactions between biology, environment, institutions, and personal backgrounds. In fact, the study itself notes that IQ explains only a modest portion of overall socioeconomic variation.

The findings similarly complicate the assumption that children from wealthier families succeed solely because of privilege or inherited social advantage.

“The so-called ‘silver spoon’ isn’t as big as you might think,” Dr. Kajonius said in a press release. “Your home life also depends on your genes.”

Rather than portraying affluent children as inherently superior, the study points toward a far more layered reality in which inherited traits, family dynamics, academic access, and broader social conditions all interact over time.

Dr. Kajonius also acknowledged several limitations to the research. The analysis covered only a four-year period during early adulthood, leaving unanswered questions about how these relationships may evolve later in life. Parental socioeconomic status was also not directly controlled for in the primary analysis.

Twin studies themselves remain the subject of longstanding methodological debates, notably regarding shared environments and gene-environment interactions. Dr. Kajonius notes that reducing such complex biological and social processes into broad categories of “genes” and “environment” inevitably oversimplifies reality.

Still, the findings add to a growing body of evidence suggesting that differences in cognitive ability and life outcomes cannot be explained entirely by environmental factors alone.

Dr. Kajonius ultimately argues that broad institutional interventions, such as expanding educational availability, may not completely eliminate socioeconomic disparities because individuals are not psychologically identical.

“People are different – Genetic predispositions (i.e., individual differences) seem to play a role in individuals’ socioeconomic outcomes,” Kajonius concludes. “Failure to account for these well-replicated genetic influences in research may present the wrong conclusions for both the public and academia.”

“As a researcher, my job is to describe reality as accurately as possible. If we want to change society, we must, of course, understand the underlying assumptions.”