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Downtown Olympia business owner dies at 83. He ran shops here for decades
The business temporarily closed after his death, but since has reopened.
The Math Singularity Is Here, and Science May Be Next
OpenAI has released an extraordinary body of mathematical work produced by an unreleased frontier model: 722 manuscripts spanning 372 research families across fields including number theory, complexity theory, and mathematical physics. Each result required, on average, the equivalent of roughly three hours of ChatGPT Pro reasoning. A New Era of Discovery We may be witnessing the beginnings of a “math singularity”: a point at which machine-generated discovery accelerates beyond humanity’s ability to independently reproduce, verify, or fully absorb it. If frontier models can generate hundreds of meaningful results in the time it takes a human researcher to investigate one, the constraint will no longer be producing new mathematics. It will be our capacity to validate, interpret, and integrate it. This does not make mathematicians obsolete. It changes their role. They may increasingly serve as guides, critics, and meaning-makers. Increasingly, they will decide which questions matter, determining which results can be trusted, and explaining why they are important. Mathematical insight may become abundant, while human judgment becomes more valuable than ever. Mathematics May Be Only the Beginning Every scientific discipline could eventually experience a similar acceleration. AI systems could generate and test hypotheses, connect findings across specialized fields, and explore possibilities at a scale no human research community could match. In medicine, imagine models identifying overlooked disease mechanisms, designing drugs and clinical trials, personalizing treatments, or discovering cures in months rather than decades. In materials science, AI could help create better batteries and cleaner industrial processes. In climate science, it could accelerate advances in energy, forecasting, and carbon removal. In biology, it could uncover relationships hidden across enormous genomic and molecular datasets. The result would not simply be faster research. It could expand the frontier of what is scientifically possible. The New Bottleneck Scientific discovery, however, is not the same as scientific progress. A medical breakthrough must still survive laboratory testing, clinical trials, regulatory scrutiny, manufacturing constraints, and real-world deployment. As machine-generated ideas multiply, the bottleneck may shift from producing breakthroughs to validating them safely and translating them into practice. We may soon have more hypotheses than laboratories can test, more drugs than clinical trials can evaluate, and more mathematical results than experts can review. That imbalance will require better systems for automated verification, reproducible research, prioritization, peer review, and collaboration between AI and domain experts. The importance of OpenAI’s work is not merely the number of manuscripts produced. It offers a glimpse of a world in which intelligence can explore thousands of intellectual paths in parallel. If ideas cease to be scarce, humanity’s defining challenge will be deciding which are true, which matter, and how to turn them into progress. The math singularity is not the end of human inquiry. It is the beginning of a new kind—one in which machines expand the frontier of knowledge and humans decide where it should lead. Subscribe Share Leave a comment
Chuck Lorre gets candid on hits, flops and hard lessons in new memoir 'Sitcom'
Legendary producer Chuck Lorre, known for hits like “The Big Bang Theory,” reflects on his career in his new memoir, “Sitcom.” | Talk 1370
Todd Rundgren: Taylor Swift ruined music, is 'the apotheosis of mediocrity’
Boys and their 1990s allowance-spending shift from music to video games spawned the rise of female artists such as Taylor Swift, who then “ruined music,” at least according to 1970s
What Science Says About Tooth Loss and Your Brain
Studies link tooth loss to higher risk of cognitive decline and dementia. Here's what the research shows, the leading theories, and what you can do now.
Mathematician Who Waited 50 Years for Proper Credit for Her Work Has Died
At the Los Alamos National Laboratory, Mary Tsingou Menzel’s computer programming helped set the stage for chaos theory and other fields.
Computational Models as Liminal Models in Neuroscience, a Cognitive Science Speaker Series Presentation | Events
Speaker: Danielle Williams, Ph.D. Title: Computational Models as Liminal Models in Neuroscience Short Bio: Danielle is a philosopher of mind and science whose research examines the role of computation in our theories and explanations of the mind and brain. Her work brings together philosophy of mind, cognitive science, neuroscience, and artificial intelligence, with particular interests in computational theories of mind, computational modeling, and the relationship between different explanatory and modeling strategies in the mind sciences. She also investigates philosophical questions raised by contemporary AI, including the nature of opacity in computational models and its implications for explanation in cognitive science. Alongside this work, she is a historian of cognitive science and AI, examining how the development of computer technology has shaped our conceptions and models of the mind and brain. Abstract: Scientists rely on various types of models to make sense of their phenomena of interest. This has led philosophers to take up a range of semantic, ontological, and epistemological questions about how models represent, what kinds of things models are, what we learn from models, and how they explain. One type of model that has been of particular interest to philosophers is the computational model. Computational models are commonplace in the mind sciences in general and neuroscience in particular, with many asking how computational modeling can help us understand the nervous system and its contribution to cognition and behavior. These questions are particularly pressing in neuroscience, as computational models have become a dominant framework for making sense of cognition. Thus, old questions about model-based science have re-emerged within the context of neuroscience, with many philosophers looking to established frameworks to understand how computational models represent, explain, and contribute to theory development in neuroscience. These established frameworks, however, characterize computational models as a homogeneous type which cannot capture actual modeling practices in neuroscience. In this talk, I argue that computational models in neuroscience are best typed as a kind of liminal model, a type I introduce to capture how the status of a computational model is determined by the epistemic context in which it is deployed. Indeed, the category to which a computational model belongs shifts according to the role it plays within a given context. ASL-English interpreters have been requested. Light refreshments will be provided.
Mayim Bialik says it was ‘very difficult’ to see Chuck Lorre on “Big Bang Theory” set during Charlie Sheen scandal (exclusive)
“There’s a humanity to when the person that you are working with is, first of all, very sick, and then publicly assaults you,” Bialik says.
Small Signals, Big Effects: Why Symbolic Policies Matter for Climate Politics -
In the APSA Public Scholarship Program, graduate students in political science produce summaries of new research in the American Political Science Review. This piece, written by Ximena Caló, covers the new article by Theodore Tallent, [...]
Hellblade studio Ninja Theory has started laying off staff, following Xbox’s announcement that it faces closure
Two separate agreements with the studio “fell through”…
Congressman Adam Gray Defends One of California’s Last Swing Districts After Redistricting
A moderate Democratic Congressman who won his seat by a razor-thin margin has a theory of how his party can win in a swing district.
Is time speeding up? Here's what science says
Why did summers feel endless as a kid, but now entire years seem to vanish? Does time actually speed up as we get older – or does it just feel that way? Conspiracy theorists suggest things like...
Chuck Lorre claims Cybill Shepherd became ‘a different person’ when shooting season 2 of “Cybill”
The future creator of “The Big Bang Theory” writes about his Hollywood career in his new memoir.
Professional golfer from Finland moves business to Fairview
A golf professional who hails from Finland and moved his business to Fairview approaches teaching the sport differently. For Jari Hakonen, it is all about focusing on the little things […]
Chuck Lorre gets candid on hits, flops and hard lessons in new memoir 'Sitcom'
Legendary producer Chuck Lorre, known for hits like “The Big Bang Theory,” reflects on his career in his new memoir, “Sitcom.” | KMBZ
Supermassive Black Holes
Through studying the early universe, NASA’s James Webb Space Telescope has brought us closer to understanding one of the most prominent theories that explain the origins of supermassive black holes, that of black hole "seeds."
Top Georgia election officials clash over Trump-fueled conspiracy theories
Georgia’s election board and secretary of state are feuding over whether the state’s elections need federal intervention.
James Talarico Mental Health Conspiracy Falls Apart
The right is pushing a conspiracy theory that James Talarico was treated for a mental health crisis during a brief Texas Senate campaign absence.
Chuck Lorre responds to White House telling him to ‘seek psychiatric help’ on season 3 premiere of ‘Georgie & Mandy’
A White House spokesperson told Chuck Lorre to ‘seek psychiatric help’ after the ‘Big Bang Theory’ creator criticized President Trump in a speech — and now, the producer is responding in a new ep of ‘Georgie & Mandy’s First Marriage.’
Latest Duke Chronicle Player Previews: Maxime Meyer & Jacob Theodosiou
Both of these players will be helpful, but in different ways
New 4,300-mile-long internet cable will shuttle data along the ocean floor at 1 million gigabits per second
Petal, the world's first petabit transoceanic fiber cable, could theoretically support simultaneous music streaming for 75% of the world's population.
France’s 100-year sealed science letters: secrets held by the Académie des Sciences
Letters held at the Académie des Sciences contain inventions, theories and historic discoveries
Brian Greene stops teaching Frontiers of Science after more than a decade
Brian Greene, a prominent theoretical physicist and popular science commentator, has stopped teaching Frontiers of Science, according to the course’s fall 2026 syllabus reviewed by Spectator.
Senua At Risk Of Cancellation As Ninja Theory Employees Announce They've Left The Studio
"It’s incredibly sad knowing that we won’t get to finish..."
Franklin Publishes Book Review in <em>Political Theory</em>
A. Todd Franklin, the Eugene M. Tobin Distinguished Professor of Philosophy & Africana Studies, has published a review of Michael J. Illuzzi's Mending the Nation: Reclaiming "We the People" in a Populist Age (University Press of Kansas, 2025) in Politica
Phantom Blade Zero hands-on preview
Six hours with Phantom Blade Zero gave us a deep look at its combat, weapons, exploration, story, and PC performance ahead of release.
Alexis Levine presents theory for why only women have been voted out of ‘Survivor 51’
Alexis Levine presents her theory for why only women have been voted out of ‘Survivor 51’ and reveals a crazy, bloody scene that did not make it to air.
Pep Guardiola gives backing to Man City after guilty verdict: ‘We will get through this’
Pep Guardiola has broken his silence after Manchester City were found guilty of the majority of the 115 charges against them, reiterating his backing of the owners and the chairman. An independent commission, which was appointed following a four-year investigation to rule over the charges which stretch between 2009 and 2018, ruled that the current Premier League leaders had "sham contracts" arranged for a number of its commercial partners, finding that their income over eight seasons was “hugely overstated by over £830m”. The club vehemently deny the breaches with chief executive Ferran Soriano branding the process a “Premier League conspiracy theory” in a message to players and staff, while City have confirmed they will appeal against the ruling.
Electrified Pickles Glow Orange And Scientists Are Closing In On Why, With Both Leading Theories Combining
What has yet to be explained was who thought of running current through a pickled cucumber, and why?
‘I had the flu’: Talarico returns to campaign trail and dismisses theories about absence
Texas Democratic Senate nominee James Talarico on Sunday denounced the wide-ranging speculation about his whereabouts in recent days as Republicans seized on his absence from the campaign trail.
’70s Rock Icon Says Taylor Swift ‘Ruined Music’ And Labels Her ‘The Apotheosis Of Mediocrity’
Todd Rundgren’s scathing comments on Swift came amid a chat about what he described as “the era of the female artists.”
Concerning Report Emerges on Patriots QB Drake Maye, Shoulder
The start of the season has been a disaster for New England Patriots quarterback Drake Maye. That’s, of course, led to plenty of questions about why that might be.A popular theory goes back to the Super Bowl a season ago. Maye dealt with a shoulder injury that has made him ineffective. Now, some are wondering […] The post Concerning Report Emerges on Patriots QB Drake Maye, Shoulder appeared first on HEAVY.
Studying Science in an Anti-Scientific Time
This Chronicle Review Deep Cut was first published in 2025. By Julianne Werlin Thanks for reading The Chronicle Review! Subscribe for free to receive new posts and support my work. Subscribe The last two decades have not been kind to science studies. Already bruised and battered by the “science wars” of the 1990s, by the 2000s sociologists of science — who had long argued that science had to be understood in its human context — were encountering the funhouse-mirror version of their own views in right-wing critiques of climate scientists. It was enough to give some prominent scholars pause. “Was I wrong to participate in the invention of this field known as science studies?” asked Bruno Latour, the most famous sociologist of science in the world, in 2003. “Should we apologize for having been wrong all along? Or should we rather bring the sword of criticism to criticism itself and do a bit of soul-searching here: What were we really after when we were so intent on showing the social construction of scientific facts?” In response, Latour proposed a change of method and attitude. Science studies, now chastened and contrite, would no longer seek to strip facts of their authority, but to enrich and enhance them. What this meant in practice was never fully clear. But his diagnosis of problems resonated, even if his solutions did not. Latour’s exercise in public hand-wringing signaled a shift in mood. By 2016, with the first election of Donald Trump, the idea that skepticism of science was a right-wing position, not a left-wing one, had become a commonplace, discussed eagerly in The New York Times. For liberals, vaccine denial during the Covid era and Trump’s second-term attacks on the funding of scientific research, covered extensively in these pages, added a new urgency to the defense of science on both practical and principled grounds. There was little appetite for a sociology or philosophy of science that emphasized the messiness and missteps of the scientific process rather than its integrity and triumphs. The distinguished historian of science Peter Dear’s new book, The World as We Know It: From Natural Philosophy to Modern Science (Princeton University Press, 2025), which seeks to tell the story of 18th- and 19th-century science for a general public, may seem comfortably remote from these bitter contests. In its 16 short chapters, Dear draws swift, sure sketches of major discoveries from Newton to Einstein, ably guiding the reader through debates on stellar nebulae, animal taxonomy, atomic chemistry, evolution, and other flashpoints in the history of science. But though a work of history, Dear’s book must still negotiate our polarized present. In a blurb on its back cover, the historian of biology Lynn K. Nyhart alludes to the “present moment, when scientific knowledge is being swamped by misinformation and its institutions are under siege.” Dear himself, in his conclusion, refers to the “yard signs” and “bumper stickers” that proclaim “Science Is Real.” One antidote to both anti-science propaganda and to reductive slogans in science’s defense is a robust history and philosophy of science: exactly what Dear’s scholarship has long offered. But his new book illustrates how difficult such work has become. Dear, an emeritus professor of history at Cornell University, is best known as a creative and philosophically minded historian of the Scientific Revolution. His edited volume The Literary Structure of Scientific Argument (1991) analyzed the rhetoric of Galileo’s thought experiments to brilliant effect. Discipline and Experience: The Mathematical Way in the Scientific Revolution (1995) was a major contribution to the analysis of scientific experiments in early modern Europe and beyond, while Revolutionizing the Sciences: European Knowledge in Transition, 1500-1700 (2001), now in its third edition, remains one of the best overviews of the profound epistemological upheavals of 16th- and 17th-century science. But Dear has also ventured into later periods. Nearly two decades ago, in The Intelligibility of Nature: How Science Makes Sense of the World (2006), he turned to the 18th and 19th centuries to sketch a history and theory of scientific knowledge. Aimed at a generalist audience, Dear’s simple prose belied serious philosophical ambitions. Science, Dear argued, has two aspects: “natural philosophy,” the quest to understand the true nature of the universe, and “instrumentality,” the applied skills and technologies that allow us to manipulate the world for human advantage. Both strands are ancient, but the innovation of the phenomenon we call “science” was to yoke them together. As Francis Bacon wrote, “Human knowledge and human power meet in one; for where the cause is not known, the effect cannot be produced,” an insight typically abridged to “knowledge is power.” Or, in Bertrand Russell’s characteristically blunt phrase, science has two functions, “1. to enable us to know things, and 2., to enable us to do things.” So far, so conventional. But Dear took issue with this familiar story in one respect. Bacon’s formula implied that theory and practice could be fused in a single method. In fact, Dear argued, the quest to understand nature and the desire to manipulate it were coupled only loosely. They could come together, but they could also pull apart. Focusing on natural philosophy, the “knowing” half of the scientific circle, he used a series of case studies from cosmology, taxonomy, chemistry, electromagnetism, and quantum theory to show how theories changed over time, in dialogue with practice, but never reducible to it. Take the case of matter, the basic substrate of the physical world. In the 18th and 19th centuries, scientists not only disagreed about what it was, but also about how well it could be known. In 1789, the chemist Antoine Lavoisier dismissed speculation about the atomic composition of chemicals as “discussions entirely of a metaphysical nature,” as he sought to orient chemistry away from philosophical abstraction and toward laboratory results. But in the 19th century, atoms returned with a vengeance in the atomic chemistry of John Dalton, who wanted to explain the underlying structure of nature. It was not just that Dalton and Lavoisier had a different set of experimental results, or even a different theory, Dear showed. What counted as an explanation had changed. In arguing that scientific theories depended on their intelligibility to human beings with complex arrays of beliefs and commitments, Dear was in sympathy with science studies. Key figures such as the sociologist Steven Shapin emphasized the importance of psychological mechanisms like trust in the formation and acceptance of scientific ideas. But in focusing on the scientific pursuit of knowledge, not its politics or economics, Dear resisted the more cynical perspective of some of his colleagues. The Intelligibility of Nature strikes a very different note than Shapin’s collection of a few years later, Never Pure: Historical Studies of Science as If It Was Produced by People With Bodies, Situated in Time, Space, Culture, and Society, and Struggling for Credibility and Authority (2010), to name just one example. Walking a very fine line, Dear depicted science as driven at once by complex social dynamics and by the intellectual power of real discoveries. It was a testament not only to his own acumen but also to the vitality of the field that he was able to do so. Nearly two decades later, The World as We Know It returns to the questions broached in The Intelligibility of Nature. Like Dear’s earlier study, it begins with the Newtonian cosmos and ends with debates between Einstein and Bohr on quantum physics. Beyond its terminal figures, many of the same characters appear in both studies, including the naturalists John Ray and the Comte de Buffon; the chemists Étienne François Geoffroy, Antoine Lavoisier, and John Dalton; as well as Charles Darwin and Michael Faraday, among others. Its subject is nearly identical: As in The Intelligibility of Nature, The World as We Know It considers natural philosophy as opposed to instrumentality, here defined as the “desire to create a picture of what the world is really like — the world as God knows it — rather than simply having instrumental or operational control over it.” The two books also overlap in insights — and sometimes even in language. The reader who has learned in The Intelligibility of Nature that Buffon’s method of classifying animals “reflected his belief in the importance of the senses and empiricism in learning about nature (a doctrine associated with Newton and the philosopher John Locke)” will experience a sense of déjà vu on reading, in The World as We Know It, that the classification “reflects Buffon’s commitment to the epistemological stance of Newton and his philosophical underlaborer John Locke, who stressed the role of the senses in creating natural knowledge.” Later in the passage, we read that, “because of its stress on understanding the ways of life of animals in their environments, Buffon’s approach could almost be labeled (anachronistically) as ‘ecological.’” And again, “an anachronistic way of putting it would be to say that Buffon recommends an ecological mode of understanding.” Likewise, in The Intelligibility of Nature we read of Dalton that he was initially drawn to meteorology, and that: He did a bit of experimental work on these things, especially having to do with the water-holding capacity of gases, but his real interest lay in understanding what, at an underlying natural-philosophical level, was really going on physically.” Whereas, in The World as We Know It: He did experimental work on these things, especially concerning the water-holding capacity of gases — although not at a very refined level quantitatively — but he was continually trying to develop a theoretical conception of what was happening physically. The final full chapter of each book closes on the same resigned note. Intelligibility: These days, most serious work on the natural philosophical underpinnings and implications of quantum mechanics is performed not by physicists but by philosophers of science. Among scientific practitioners themselves, Bohr’s attempt to use instrumentality as sufficient grounds for a respectable science has met with a high degree of success. And again, in The World as We Know It: Bohr’s and Einstein’s concerns are now questions that are mostly discussed by philosophers of science rather than by physicists themselves. The marginalization of these sorts of questions amounts to the demise of natural philosophy, at least in physics, in the 20th century. Quantum mechanics “works,” and that’s good enough for most scientists who encounter it. Examples could be multiplied. When handling the same subject matter, some echoes are inevitable. Scholars should not feel that because they have written “Isaac Newton died in 1727” in one book, in the next they must describe him as perishing, expiring, or meeting his maker. But the repetitions of language and arguments (not to mention six reproduced images) threaded throughout The World as We Know It are more extensive than that. They should have been caught by Princeton University Press or its reviewers, and revised. Because the two books have so much in common, it is easy to see where they diverge. The World as We Know It is a less theoretical work than its predecessor. The sociology of knowledge that organized The Intelligibility of Nature has been reduced in scale and folded into readings and examples. The taut interplay between history and theory, which gave the earlier study so much interest, is there, but it is subtle. In the earlier book, the case studies demonstrated theoretical claims about the character and development of science. In the later work, each narrative of discovery is an end in itself. Insights emerge from the history, but they do not control the organization of the study. With the theory muted, it can be hard to understand the logic uniting Dear’s sprawling history of more than two centuries of scientific knowledge. The 16 brisk chapters cover an enormous amount of material. But the closer the volume edges to comprehensiveness, the more obvious the missing elements become. A chapter on “Institutions and Pedagogy,” describing the birth of the research university, illustrates the problem. Inserted roughly halfway through the book, the unnumbered chapter is designed as an “entr’acte,” in acknowledgement that it does not fit the study’s organization around scientific discoveries. Yet as Dear is well aware, no general history of the development of modern science can bracket its 19th-century institutionalization and professionalization. It was the 19th-century university, after all, that gave us the “scientist,” a term coined by the Cambridge philosopher William Whewell. Dear’s history of scientific discoveries implies a wider social and institutional history, but it remains largely subterranean, only occasionally extruded under the pressure of the narrative. It must be said that the balance is not all on the side of the earlier study. There are some advantages to the more historical, less theoretical organization of The World as We Know It. Dear’s accounts of paradigm shifts are remarkably lucid, no small accomplishment given that they span fields and centuries. He makes excellent use of the wealth of new scholarship on Darwin and his influences, to which he has himself contributed. It is satisfying to see puzzle pieces from Buffon’s natural history, Georges Cuvier’s animal taxonomy, Thomas Robert Malthus’s demography, and Charles Lyell’s geology recombined seamlessly in the Darwinian jigsaw. Likewise, Dear’s discussion of stellar nebulae, divided between chapters two and 15, shows vividly how Newton, Kant, Herschel, and Hubble reimagined insights and observations as they sought to discover whether the diffuse light that filtered through early telescopes was a glowing, gaseous substance or discrete but distant stars. Yet despite such pleasures, the book remains a more modest work than The Intelligibility of Nature. Dear has clearly not changed his views about the history of science. But in the two decades that have elapsed, the discipline and the world around it have changed, making it harder to write a sociologically and philosophically ambitious history of science for the general reader. That is a shame, because in the age of Silicon Valley and biotechnology, both the reciprocity and the tensions Dear identified between the epistemological and instrumental ambitions of science are more evident than ever. In recent years, some of the most exciting new books on the history of science in early modernity have focused precisely on this pressure point. Important studies such as Pamela H. Smith’s From Lived Experience to the Written Word (2022), James Poskett’s Horizons: The Global Origins of Modern Science (2022), and Vera Keller’s The Interlopers: Early Stuart Projects and the Undisciplining of Knowledge (2023) all shed new light on how early modern science negotiated the relationship between its instrumental and epistemological ambitions, or in Russell’s phrase, knowing and doing. There is every opportunity for a philosophically informed approach to draw new insights from this wealth of material. Dear, unfortunately, has not done so in The World as We Know It. But for future scholars of the history of science, his body of work over nearly four decades may provide just the model. Julianne Werlin is an associate professor of English at Duke University. Thanks for reading The Chronicle Review! Subscribe for free to receive new posts and support my work. Subscribe
AI is Changing Science: Here’s What Journalists Need to Know
Researchers are rapidly adopting AI for everything from data analysis to planning and executing entire research studies. Journalists will need to keep up. That means learning the basic principles, strengths, and weaknesses of the diverse technologies labeled as “AI”—and how to tell when using AI in science is actually noteworthy. Luckily for science reporters, knowing your beat well can help you cut through the hype.
Pulpit Politics: Johnson Amendment Rarely Enforced
Oklahoma religious leaders are navigating a murky legal landscape around the Johnson Amendment, which bars tax-exempt churches from endorsing candidates but is rarely enforced. With a recent Texas lawsuit failing and Congress considering changes, some pastors endorse candidates without consequences while others see political neutrality as a theological obligation, not just a legal one.
White House tells ‘Big Bang Theory’ creator to ‘seek psychiatric help’ after he slams Donald Trump
Chuck Lorre is the latest Hollywood legend to lock horns with the White House, which suggested via a spokesperson he ‘seek psychiatric help’ after Lorre called Donald Trump a ‘bloated orange piece of s---.’
Recent Work: A Theory of Intelligence Metrics
“A standardized inferential method has emerged for SETI, archaeology, forensic science, and the historical sciences generally.”
'Avatar: Seven Havens' may have just confirmed a massive fan theory
Seven Havens and seven chakras? That can't be a coincidence.
Nutritional countermeasures to spaceflight studied at URI
KINGSTON, R.I. – Oct. 5, 2026 – As humans spend longer periods of time in outer space and venture further from Earth, it’s increasingly important for scientists to learn how varied gravity levels affect muscle function and muscle loss, and how those effects can be counteracted or minimized. Theodoros Pavlidis, a second-year doctoral student who […]
Zi-Kui Liu receives theory award from Materials Research Society
Zi-Kui Liu, the Corning Faculty Fellow in Materials Science and Engineering in the Penn State College of Earth and Mineral Sciences, will receive the 2026 Materials Theory Award from the Materials Research Society.
Josh Hartnett reacts to ‘insane’ conspiracy theory about “Verity”’s opening scene: ‘Why would he do that?’
Hartnett, along with Dakota Johnson and Anne Hathaway, have a lot of thoughts about this.
Scientists Dismissed a Theory of Consciousness for 40 Years. New Evidence Suggests They Spoke Too Soon.
The quantum theory of consciousness long seemed like a radical idea, but growing evidence is making some neuroscientists take a second look.
Business Ingenuity Gives Birth to Edgy, an AI Agent Educated in the Theory Behind Natural Synergy™ to Show Leaders Where Their Organizations Are Headed
SAN FRANCISCO, October 05, 2026--Business Ingenuity, Inc. today announced the availability of Edgy, an AI agent educated using Natural Synergy: From Natural Mystery to Mastery, co-authored by co-founder Charles Follett and Ray Scott and available on Amazon. Edgy analyzes an organization through its public footprint and its own people, then tells executives which Operating State the organization occupies, which direction it is being driven, and what adjustments would improve its performance.
‘He Could Be a Cheaper Option’ — Sports Media Expert Theorizes ESPN May Be Planning to Replace Troy Aikman With 3-Time Pro Bowler
The longest-standing broadcast partnership in NFL history may be approaching a crossroads, and one media analyst has floated three-time Pro Bowler Greg Olsen as a possible option for ESPN if Troy Aikman departs. When Troy Aikman, the on-air partner of Joe Buck since 2002, revealed on the “Sports Media with Richard Deitsch” podcast that he has not signed a contract extension with ESPN, rumors swirled.
Scientists reconstruct face of man who lived in Ecuador 3,000 years ago
Skulls discovered in Ecuador's Andes fueled theories about the origins of ancient Americans; a new facial reconstruction supports an Indigenous ancestry, but researchers say DNA testing is needed to settle the question
RFK Jr.’s Chimpanzee Conspiracy Theory
The health secretary believes that a common respiratory virus leaked from a government lab.
What Kills Schrödinger’s Cat? Scientists Just Ruled Out a 60-Year-Old Theory
Gravity has been proposed as a reason quantum superpositions become difficult to observe in everyday objects. A new experiment challenges one longstanding model of this process. A detector buried deep beneath an Italian mountain has challenged a decades-old theory about why quantum behavior disappears from the world we experience. After 62 days of measurements, researchers
'News reports tweaked the science to speak to contemporary anxieties': How Neanderthal extinction is a projection of our own, modern fears
In this excerpt from "Neanderthals Among Us," author Peter Sahlins looks at the way Neanderthal extinction theories are often engrained with our own societal fears.
Physicists create a bizarre new quantum state called a fractional fermi sea
Physicists have discovered a strange new state of quantum matter in which ultracold atoms defy familiar organizational rules, forming a highly excited yet surprisingly orderly configuration called a "fractional Fermi sea." The discovery challenges established quantum theories and hints at exotic quasiparticles that scientists have dubbed potential "super-Fermions."
Gotcha? Some said a glass of water 'proved' China faked its space station – but simple science destroyed the argument in seconds | BBC Sky at Night Magazine
A theory online claimed China's space agency was faking its space station – all because of a glass of water. Science debunked the theory.
FSU physicists receive funding through Department of Energy's $7.3M Quantum Technology Outposts research initiative
Three Florida State University theoretical physicists are part of a major national initiative exploring how quantum computing could help answer
Hope Network awarded federal grant to expand mental health resources
The Hope Network has received a $600,000 federal grant to expand mental health awareness and suicide prevention training across Michigan, helping an additional 5,000 people over the next three years learn how to recognize and respond to…
Going International: How Global South Journalists Can Elevate Local Science Stories
For journalists in the Global South, access to local science presents an opportunity to bring this knowledge to a wider audience via international outlets. Regional studies and perspectives can inform broader conversations about science, highlight multinational patterns, and elevate research conducted outside of traditional scientific centers. This story offers strategies to find stories, connect with international editors, and meet the needs of audiences that may know little about the place where a story is unfolding.
Mingarelli elected a new fellow of the American Physical Society
Yale physicist Chiara Mingarelli was cited for contributions in pulsar timing array theory and gravitational-wave astrophysics.
James Talarico mental health accusations assessed
Talarico said he had a "nasty case of the flu" last week, but Republican voices have a completely different theory.
Small Signals, Big Effects: Why Symbolic Policies Matter for Climate Politics -
In the APSA Public Scholarship Program, graduate students in political science produce summaries of new research in the American Political Science Review. This piece, written by Ximena Caló, covers the new article by Theodore Tallent, [...]
Could the Big Bang theory be wrong? Some of the biggest questions remain unresolved
The Big Bang explains a great deal, but some of its deepest questions remain unanswered. Future discoveries could change far more of the story than many people realize.
Political rhetoric preceding autocratic rule | The Pajaronian
Columnist Theo Wierdsma opines about the current presidential administration, and what he sees as similarities to autocratic regimes.
Sitcom king Chuck Lorre says Roseanne Barr ‘fundamentally hated’ her show’s writers: ‘It was malice’
Lorre, who created hits like “Two and a Half Men” and “The Big Bang Theory,” got his start writing for the tempestuous stand-up on “Roseanne.”
Mayim Bialik says it was ‘difficult’ to see Chuck Lorre on ‘Big Bang Theory’ amid Charlie Sheen scandal
‘Big Bang Theory’ star Mayim Bialik is opening up about how ‘difficult’ it was to see series creator Chuck Lorre on the sitcom set amid his falling out with ‘Two and a Half Men’ star Charlie Sheen.
Gambit's Best of New Orleans 2026: Entertainment
Design by Dora Sison / Gambit Best Bounce Artist googletag.cmd.push(function() { googletag.display('ad-1492300'); }); 1. Big Freedia (Instagram: @bigfreedia)2. Ha Sizzle (Instagram: @hasizzlethevoice)3. Subtweet Shawn (Instagram: @subtweetshawn1) Trixie Minx Photo by Sophia Germer / The Times-Picayune Best Burlesque Performer1. Trixie Minx (Instagram: @trixienola)2. Bella Blue (Instagram: @bellablueforever)3. Miss Angie Z (Instagram: @missangiez) Best Casino1. Caesars New Orleans (8 Canal St., 800-427-7247; caesars.com/caesars-new-orleans)2. Treasure Chest Casino (4550 Williams Blvd., Kenner, 504-443-8000; treasurechest.com)3. Boomtown Casino (4132 Peters Road., Harvey, 504-366-7711; boomtownneworleans.com) Best Drag Performer1. Debbie with a D (Instagram: @debbiewithad)2. Katrina Waters (Instagram: @katrinawaters504)3. Laveau Contraire (Instagram: @laveaucontraire) Best Festival (that's still around)1. New Orleans Jazz & Heritage Festival (nojazzfest.com)2. French Quarter Festival (frenchquarterfest.org)3. Hogs For The Cause (hogsfest.org) Best Food Festival1. New Orleans Fried Chicken Festival (friedchickenfestival.com)2. Oak Street Po-Boy Festival (poboyfest.com)3. New Orleans Jazz & Heritage Festival (nojazzfest.com) Tipitina's Photo by Sophia Germer / The Times-Picayune Best Live Music Venue1. Tipitina’s (501 Napoleon Ave., 504-895-8477; tipitinas.com)2. The Broadside (600 N Broad St., 504-766-0871; broadsidenola.com)3. The Fillmore (6 Canal St., 504-881-1555; thefillmorenola.com) Best Live Music Club1. Maple Leaf Bar (8316 Oak St., 504-866-9359; mapleleafbar.com)2. Snug Harbor Jazz Bistro (626 Frenchmen St., 504-949-0696; snugjazz.com)3. Chickie Wah Wah (2828 Canal St., 504-541-2050; chickiewahwah.com)3. Blue Nile (532 Frenchmen St., 504-766-6193; bluenilelive.com) Best Local Blues Artist/Band1. Little Freddie King (littlefreddieking.com)2. Samantha Fish (samanthafish.com)3. Tab Benoit (tabbenoit.com) Best Local Brass Band1. Rebirth Brass Band (rebirthbrassband.com)2. Hot 8 Brass Band (hot8brassband.com)3. The Soul Rebels (thesoulrebels.com) Best Local DJ1. Paul Lakeway (Instagram: @paul_lakeway)2. DJ Soul Sister (Instagram: @djsoulsister)3. ANTWIGADEE! (Instagram: @antwigadee) Best Local Funk Band1. Dumpstaphunk (dumpstaphunk.com)2. Galactic (galacticfunk.com)3. Big Sam's Funky Nation (bigsamsfunkynation.com) Kaye the Beast Provided Photo by Catherine Debuys Best Local Hip-Hop Group/Artist1. Kaye the Beast (Instagram: @kayethebeast)2. La Reezy (Instagram: @lareezymusic)3. Pell (Instagram: @pellyeah) Best Local Movie Theater1. The Broad Theater (636 N. Broad St., 504-218-1008; thebroadtheater.com)2. The Prytania (5339 Prytania St., 504-891-2787; theprytania.com) googletag.cmd.push(function() { googletag.display('ad-1492297'); }); 3. The Prytania Theatre at Canal Place (333 Canal St., 3rd floor, 504-290-2658; theprytania.com) Best Local Music Artist/Band1. Robin Barnes & The Fiya Birds (robinbarnesmusic.com)2. Trombone Shorty (tromboneshorty.com)3. Sweet Crude (sweetcrudeband.com) Best Local Rock Band1. The Revivalists (therevivalists.com)2. Better Than Ezra (betterthanezra.com)3. Cowboy Mouth (cowboymouth.com) Best Wedding Band/ DJ1. The Mixed Nuts (themixednuts.com)2. Bucktown All-Stars (bucktownallstars.com)3. Warm Advice (warmadvice.com) Doreen Ketchens Provided photo Best Local Street Performer1. Doreen Ketchens (doreensjazz.org)2. Jourdan Blue (Instagram: @jourblue)3. Sariyah Idan (ariyahidan.com) Best Local Theater Company1. The Tennessee Williams Theatre Company of New Orleans (504-264-2580; twtheatrenola.com)2. Le Petit Theatre (616 St. Peter St., 504-522-2081; lepetittheatre.com)3. The NOLA Project (504-302-9117; nolaproject.com) Best Local Traditional Jazz Group/Artist1. Preservation Hall Jazz Band (preservationhalljazzband.com)2. Kermit Ruffins (@ruffinsbbq)3. Trombone Shorty (tromboneshorty.com) Best Marching Band1. St. Augustine High School Marching 100 (Instagram: @staugmarching100)2. Edna Karr High School Marching Band (Instagram: @theofficialkarrband)3. The Roots of Music Marching Crusaders (therootsofmusic.org) Best Mardi Gras Parade1. Muses (kreweofmuses.org)2. Iris (kreweofiris.org)3. Endymion (endymion.org) 610 Stompers Photo by Chris Granger / The Times-Picayune Best Mardi Gras Dance Krewe1. 610 Stompers (610stompers.com)2. Amelia EarHawts (aecabinkrewe.com)3. The Jamettes (Instagram: @thejametteskrewe) Best Place to See Burlesque/Drag1. The AllWays Lounge & Cabaret (2240 St. Claude Ave., 504-218-5778; theallwayslounge.net)2. The Original Nite Cap (1300 St. Bernard Ave., 2nd floor, 504-224-2854; Instagram: @originalnitecap)3. The Country Club (634 Louisa St., 504-945-0742; thecountryclubneworleans.com) Best Place to See Comedy1. Sports Drink (1042 Toledano St.; sportsdrink.org)2. The Howlin' Wolf (907 S. Peters St., 504-529-5844; thehowlinwolf.com)3. Big Couch New Orleans (1045 Desire St.; bigcouchnola.com) Best Local Comedian1. Ryan Rogers (ryanrogerscomedy.com)2. Mark Normand (marknormandcomedy.com)3. Cyrus Cooper (Instagram: @cyrusjcooper) Best Strip Club1. The Penthouse Club (727 Iberville St., 504-524-4354; penthouseclubneworleans.com)2. Rick’s Cabaret (315 Bourbon St., 504-524-4222; rickscabaretneworleans.com)3. Larry Flynt's Hustler Club (225 Bourbon St., 504-524-0010; neworleanshustlerclub.com) Best Performing Arts Center1. Jefferson Performing Arts Center (6400 Airline Dr., 504-731-4700; jeffersonpac.com)2. Saenger Theatre (1111 Canal St., 504-525-1052; saengertheatreneworleans.com)3. Mahalia Jackson Theater for the Performing Arts (1419 Basin St., 504-525-1052; mahaliajacksontheater.com) .donate-gambit-article-module-container { text-align: center; padding: 10px; /* background-color: #24da6d; */ background-color: rgb(153, 0, 0); margin-bottom: 20px; } .donate-gambit-article-module-title { font-weight: bold; color: #fff; } .donate-gambit-article-module-copy { color: #fff !important; font-size: 16px; } .donate-gambit-article-module-button { background-color: black; width: 50%; border-color: black; font-size: 16px; } .donate-gambit-article-module-button:hover { background-color: black; } @media only screen and (max-width: 600px) { .donate-gambit-article-module-button { font-size: 14px; width: 100%; } .donate-gambit-article-module-copy { font-size: 14px; } } BECOME A GAMBIT MEMBER AND JOIN OUR KREWE TODAY For more than 40 years, Gambit has covered New Orleans, for New Orleans. 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The One Chart That Explains Why Netflix Cleaned House
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Yeah, I’ll be honest: I went with a clickbait-y headline today. One chart? That explains everything? That’s as clickbait-y as it gets. But let’s be real. I’m analyzing a dataset that I’ve built over six years, and c’mon, I never write articles which feature just one chart! If you think this article—which includes a level of data detail unheard of in journalism twenty years ago—is clickbait, fine by me. Really, what I’m doing is using data to explain Netflix’s recent strategy changes, since the story of the month is the turbulence at Netflix. First, head of content Bela Bajaria was fired. Then head of film Dan Lin followed her to the unemployment ranks. (Along with, sadly, 1,000 other Netflix workers.) And then Netflix delivered a “sub-optimal” earnings report, which continued their year-long stock price slide. Then came a flood of articles explaining why all this is happening. (Mine’s coming shortly, rest assured.) I realized I had the perfect chart to explain Netflix’s woes. Specifically, Nielsen’s weekly top ten charts. Usually I focus on one or two weeks in my Streaming Ratings Reports, but sometimes it’s worth stepping back to look at the larger story. And hoo boy, what a story. This article is my annual (plus three months) follow-up to one of my most popular articles of last year. (And a topic I’ve been visualizing for the last half decade.) Subscribe Netflix’s Share of The Nielsen Charts Continues to Decline
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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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The Streamers Tried To Conquer Labor Day…and Whiffed
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) What? Another Streaming Ratings Report already? You betcha. Nielsen has moved up the release of their Streaming Ratings data by two weeks, which means I’ve got two extra issues to get out. But I love this change because it will make this report more timely and easier to publish regularly. This week—with the viewership data for the week of 31-Aug—we’ve got some huge, huge topics to discuss. On the film side, two theatrical films (The Mandalorian and Grogu on Disney+ and Scary Movie on Paramount+) contend with two non-Netflix straight-to-streaming films (Mayday on Apple TV and The Runner on Prime Video). The streamers went all in to win Labor Day weekend in America. And we have a bunch of TV shows to analyze, both new shows (Netflix’s The Gentleman, Hulu’s Chad Powers, and an Alix Earle reality show) and weekly shows like Reacher, Ted Lasso, House of the Dragon and Lioness. All that, plus nepotism in Hollywood, some eye-popping fantasy football stats, all the flops, bombs and misses, and a whole lot more. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of August 31st to September 6th, 2026. You can find a link to my terminology here.) Subscribe Film - A Slew of Labor Day Disappointments? A lot of streamers released big new films this week, why? My theory is that the streamers know that four-day weekends can propel streaming films to glory. But if you’ve been reading more over the last two years, you know that big holiday weekends aren’t driving big viewership numbers the way they did post-Covid. And interestingly enough, Netflix didn’t put out a big new film this week. But four other streamers did, trying to take advantage of the holiday with some (not cheap) swings, including… The Mandalorian and Grogu on Disney+ (a Star Wars film that cost $165 million and made $177 million at the US domestic box office) Mayday on Apple TV (rumored $100 million budget, no theatrical release) The Runner on Prime Video (at least a $40 million budget, but likely $50 to $80 million, no theatrical release). Scary Movie on Paramount+ ($30 million budget, made $108 million domestically). (Paramount+ also released a made-for-streaming film based on the Thundermans IP, and I’ll discuss that later.) So…how’d they do? The Mandalorian and Grogu Leads The Way (But That Isn’t Enough) Let’s start with The Mandalorian and Grogu (which I’ll abbreviate to Mando for most of this article). We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… How Mando, Mayday, The Runner and Scary Movie performed on streaming... How the powerhouse weekly released shows (Reacher, Ted Lasso and Lioness) have accumulate a LOT of viewership… How House of the Dragon finished its run… The latest Netflix show to have a sophomore slump… Whether top creators can drive viewers to their shows… Nepotism in Hollywood and the music business... All the flops, bombs and misses for the week… And more… ...please subscribe! We can only keep doing this great work with your support. Coming Soon! Since Nielsen has accelerated their streaming data release schedule, I’ve got a lot of Streaming Ratings Reports coming your way! Next issue, I’ll be looking at the second season of Peacock’s The Paper, the latest season of Hulu’s The Secret Lives of Mormon Wives, and a very, very expensive Daily Wire fantasy series that’s now on Prime Video. Plus Crew Girl and Dang! on Netflix, a new Tyler Perry film, and one of the biggest bombs of the summer, Supergirl. In the next two issues, I’ll take a look at the return of the NFL to streaming, Toy Story 5 on Disney+, Backrooms on HBO Max, and The Breadwinner on Netflix. On the TV side, we’ve got Netflix’s Monster: The Lizzie Borden Story, Dancing with the Stars on Disney+, Apple TV’s Slow Horses, a Reacher spinoff on Prime Video, and Paramount+’s MobLand, a Woody Harrelson and Matthew McConaughey comedy on Apple TV, a sequel to a Cosby Show spinoff on Netflix, The Great British Baking Show, and the Unabomber film. And while doing all that, I want to take a look at adult animated shows, Ride or Die’s cancellation, and Netflix’s summer films. So much great stuff! Long term, two bits of comic book news. The X-Men cast has been announced, and go ahead and color me bull-ish, if not very, very bull-ish on this bit of comic book IP. In weirder news, HBO Max ordered a “true crime” show by Jimmy Olsen about Gorilla Grodd being falsely convicted of murder. I mean, what? I don’t know, let’s see what happens.
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Mothers face barriers to accessing mental healthcare, survey shows
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Latest Duke Chronicle Player Preview: Joaquim Boumtje Boumtje
Nick Arnold || Brock Davis || Maxime Meyer || Jacob Theodosiou || Sebastian Wilkins || Bryson Howard || Drew Scharnowski We missed this on Saturday, but here is the latest Duke Chronicle Player Preview, this time featuring freshman JoJo Boumtje Boumtje. Boumtje Boumtje was out of the spotlight as an American teenager playing for FC Barcelona, but the basketball public caught on pretty quickly after […]
Scientists may have seen dark matter. If they did, what exactly is it?
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NASA’s Webb Provides Crash Course on Planet-Shattering Collisions
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GTA VI Writers Sidestep Trump and MAGA, as Rockstar’s Rupert Humphries Says Florida Satire Targets Conspiracy Theories Instead
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Jobs in health care. Jobs for women. The US labour market is segmenting. Chernobyl’s radiation and Lenin’s love of literature.
Thank you for opening your Chartbook email. Elmer Bischoff, Two Figures at the Seashore, 1957 The only really dynamic job-creator in the US economy is health care: The largest crunch has come in Federal government, which has shed 2.7 m jobs. Source: tchouvkov on Twitter Tech is struggling. [ Joey Politano 🏳️🌈@JosephPolitano The US tech sector continues bleeding jobs in official data released today—overall, employment decreased by 17k last month and is down 69k over the last year That's nearly as bad as the worst of the 2024 tech-cession, and much worse than the 2022 boom or even pre-2020 norms 12:42 PM · Oct 2, 2026 · 15.2K Views 15 Replies · 47 Reposts · 390 Likes ](https://x.com/JosephPolitano/status/2106001807847940232?s=20) The new jobs are all for women. [ Justin Wolfers@JustinWolfers I'm not sure who saw this coming, but so far nearly all the jobs created during the second Trump administration have gone to women. 1:09 PM · Oct 2, 2026 · 33K Views 70 Replies · 146 Reposts · 644 Likes ](https://x.com/JustinWolfers/status/2106008723533533601?s=20) Meanwhile, real wages are being eaten up by modest over-target inflation. [ Heather Long@byHeatherLong The financial pain is real: Wage growth fell to 3% (y/y) in September. That's the lowest in 5 years. Wage growth: 3% Inflation: ~3.4% Inflation has eaten up all wage gains for the average worker since April. Many people are having to make hard choices about what to buy and what … 1:24 PM · Oct 2, 2026 · 37K Views 24 Replies · 275 Reposts · 533 Likes ](https://x.com/byHeatherLong/status/2106012367712620728?s=20) HEY READERS, THANK YOU for opening the Chartbook email. I hope it brightens your day. I enjoy putting out the newsletter, but tbh, what keeps this flow going is the generosity of those readers who clicked the subscription button. If you are persuaded to click, please consider the annual subscription of $60. It is both better value for you and a much better deal for me, as it involves only one credit card charge. Why feed the payments companies if we don’t have to. Subscribe Elmer Bischoff, Bathers, 1960 Americans are disillusioned with higher ed. For contributing subscribers only. Subscribe Where the Chernobyl radiation went. h/t Simon Kuestenmacher aka simongerman600 How Lenin’s love of literature shaped the Russian Revolution - Tariq Ali This, then, was the intellectual atmosphere in which Lenin came of age. His father, a highly cultured conservative, was the chief inspector of schools in his region and much respected as an educationalist. At home, Shakespeare, Goethe and Pushkin, among others, were read aloud on Sunday afternoons. It was impossible for the Ulyanov family – “Lenin” was a pseudonym adopted to outwit the tsarist secret police – to escape high culture. At high school, Lenin fell in love with Latin. His headteacher had high hopes that he might become a philologist and Latin scholar. History willed otherwise, but Lenin’s passion for Latin, and taste for the classics, never left him. He read Virgil, Ovid, Horace and Juvenal in the original, as well as Roman senatorial orations. He devoured Goethe during his two decades in exile, reading and rereading Faust many times. Lenin put his knowledge of the classics to good use in the time leading up to the October revolution of 1917. In April of that year, he broke with Russian social-democratic orthodoxy and, in a set of radical theses, called for a socialist revolution in Russia. A number of his own close comrades denounced him. In a sharp riposte, Lenin quoted Mephistopheles from Goethe’s masterwork: “Theory, my friend, is grey, but green is the eternal tree of life.” Source: The Guardian Elmer Bischoff, The River, 1953 If you’ve scrolled this far, you know you want to click: Subscribe
Ninja Theory begins laying off staff, according to employee posts
Ninja Theory has begun laying off employees.
'GTA 6' Fandom Is Officially Shook After The Nude Jason Leak
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SF blockchain tycoon drops $500,000 on D10 race
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Ninja Theory developers announce they are facing redundancy, as the studio starts laying off staff following widespread Xbox cuts
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