The Science Funding Racket and Its Faithful Scribes
When the Trump administration moved to cut federal science funding, the reaction from establishment media was instantaneous, uniform, and…

The Science Funding Racket and Its Faithful Scribes
When the Trump administration moved to cut federal science funding, the reaction from establishment media was instantaneous, uniform, and entirely predictable. The New York Times ran its characteristic dispatches from concerned professors, its quotes from Nobel laureates warning of civilizational collapse, its photographs of earnest postdoctoral researchers staring pensively at laboratory equipment. The Guardian mobilized its transatlantic concern. NPR found scientists near tears. The coverage was not journalism so much as liturgy, the faithful reciting received doctrine about the sacred necessity of federal research spending, a doctrine so thoroughly absorbed by the professional class that questioning it registers not as heterodoxy but as simple ignorance, the kind of thing only someone who does not understand science would say.
What almost none of this coverage examined was whether the doctrine is actually true.
The Apparatus and Its Myths
The federal science funding establishment rests on a founding mythology that has been repeated so many times it has acquired the status of self-evident fact. Government funded the internet. Government funded mRNA vaccines. Government investment in basic research drives innovation that private capital cannot or will not pursue, and without this investment the United States would surrender its technological leadership to authoritarian rivals. These claims are made with the confidence of people who have never seriously examined them, which is to say they are made with the characteristic confidence of the contemporary American professional class.
The internet mythology does not merely simplify the historical record. It inverts it. The transistor, the foundational component of every digital technology that followed, emerged from Bell Labs, a private industrial research laboratory. Shockley, Bardeen, and Brattain were not government researchers pursuing a federal agenda. The integrated circuit came from Texas Instruments and Fairchild Semiconductor, private firms responding to commercial demand. The entire silicon substrate on which ARPAnet eventually ran was a product of private industrial ingenuity, and the government’s role throughout was largely that of a customer rather than a pioneer.
ARPAnet itself, the specific government contribution the establishment invokes most reverently, rested entirely on this private foundation. The TCP/IP protocols and related networking standards that ARPAnet produced solved real but relatively narrow engineering problems about packet switching and network resilience. They were competent engineering work, not fundamental science, and the claim that this represents the government innovation that gave us the internet conflates the plumbing with the building. The commercial, social, and economic phenomenon of the internet required browsers, search algorithms, content, e-commerce infrastructure, and the entire private ecosystem built on top of those protocols. Everything that actually matters about the internet was built privately, by entrepreneurs and engineers operating under market discipline, on top of a government protocol layer that was itself built on private semiconductor research.
The counterfactual is actually quite strong here. The commercial demand for smaller, cheaper, more reliable electronics and communications was enormous and growing entirely independently of military interest. The financial returns to solving networking problems were obvious to private actors. Private capital was already flowing heavily into the space. The reasonable inference is that packet switching protocols emerge in roughly the same timeframe through purely private development, possibly faster without the distorting effect of military procurement priorities shaping design decisions toward ruggedized military specifications rather than commercial optimization. What the government contributed was a relatively thin protocol layer and some early procurement revenue. What it claims credit for is the entire edifice built on top of both.
The mRNA story follows the same pattern of inverted credit. The foundational work of Katalin Karikó was conducted in an academic setting but was largely ignored by the NIH funding apparatus for years, her grant applications repeatedly rejected because the work did not fit established paradigms. The breakthrough came when private capital in the form of BioNTech and Moderna took the risk the government apparatus had declined to take. The people who built the vaccines were not NIH bureaucrats but private sector scientists and entrepreneurs working under market discipline. That the federal funding establishment now claims primary credit for this achievement is a nearly perfect illustration of the revisionism your establishment press reproduces without examination. The Salk Institute, a private nonprofit research organization entirely outside the federal grant apparatus, contributed foundational work the standard government-centric narrative quietly absorbs or ignores.
What the Numbers Actually Show
The New York Times coverage of science funding cuts relies almost entirely on two rhetorical moves. The first is the appeal to authority, the distinguished professor, the department chair, the former NIH director explaining gravely that cuts will set research back decades. The second is the human interest story, the promising young postdoctoral researcher whose work on childhood cancer or Alzheimer’s disease now hangs in the balance. Both moves are designed to foreclose rather than enable analysis. One does not question distinguished professors. One does not weigh childhood cancer against budget discipline.
What this coverage systematically avoids is any serious examination of what the apparatus has actually produced relative to what it has consumed. The NIH budget grew from roughly $300 million in 1960 to nearly $48 billion at its recent peak. Drug development costs over the same period, rather than falling with increased investment, have doubled every nine years, a phenomenon researchers call Eroom’s Law, deliberately inverting Moore’s Law to capture the paradox. More money, more researchers, more publications, and fewer drugs per dollar. The publication count tells a similar story. Peer reviewed papers now number in the millions annually, a roughly tenfold increase since 1980, while measures of genuine scientific disruption, the production of work that changes fields rather than incrementally extending them, have fallen sharply. A 2023 analysis in Nature documented this decline with rigorous citation network analysis. The establishment press noted the finding briefly and moved on without drawing the obvious conclusions about funding policy.
Research productivity by rigorous measurement has fallen roughly fortyfold since the postwar period. The Bloom, Jones, Van Reenen and Webb analysis demonstrated that the number of researchers required to achieve a given innovation has risen dramatically across every sector examined, meaning ideas are getting harder to find not despite but alongside exponentially increasing investment. This is not a finding that receives sustained attention in the publications defending current funding levels, for reasons that are not difficult to identify.
The theoretical physics case is particularly instructive because it is the domain where the pro-funding argument is supposedly strongest, the area of pure inquiry most remote from commercial pressure and most dependent on public support. String theory has consumed the careers of an entire generation of researchers, absorbed enormous resources in faculty positions, grants, and institutional prestige, and produced after fifty years not a single empirical prediction that has been tested and confirmed. The Large Hadron Collider found the Higgs boson but none of the supersymmetric particles that string-adjacent theories had staked their credibility on. The response of the field was not the falsification and revision that genuine scientific culture demands but a retreat into multiverse frameworks that are definitionally beyond empirical test. This is not science. It is theology with better mathematics, and it is funded by the American taxpayer while serious conservative foundational work by rigorous researchers gets rejected by journals and ignored by grant committees.
The quantum computing case extends this pattern into applied research. The field has absorbed billions in government and corporate funding while consistently retreating on promised timelines and quietly redefining what quantum advantage means. Rigorous mathematical skeptics who have questioned whether fault tolerant quantum computing is achievable within current physical frameworks have been professionally marginalized despite never being actually refuted. Meanwhile researchers (like myself) working on classical field reformulations of quantum field theory, conservative and mathematically careful approaches that actually resolve foundational mysteries without invoking untestable frameworks, find their work ignored by the apparatus that funds string theorists and quantum computing optimists. The field protects its paradigm not through refutation but through credentialing, journal gatekeeping, and career exclusion.
The Class Interest Behind the Consensus
The New York Times and its readers are not disinterested observers of science funding policy. They are members of, adjacent to, or aspirationally identified with the specific socioeconomic cohort that consumes science funding. The credentialed professional class, urban, highly educated, institutionally employed, has successfully constructed a political identity in which support for science funding is a marker of intelligence and values rather than a material interest. To question NIH budgets in educated coastal company is to reveal oneself as the kind of person who does not believe in science, a category that also contains flat earthers and vaccine skeptics in the professional class imagination.
This conflation is not accidental. It is the primary mechanism by which a specific class interest gets laundered into a universal value. The working class taxpayer in rural Pennsylvania or suburban Ohio who funds this apparatus through his taxes has no meaningful access to its benefits. The drugs it eventually produces, if they are produced, will be priced beyond his reach or covered through insurance systems that extract additional rents. The academic positions it funds are not available to his children who cannot afford the decade of graduate and postdoctoral training required to compete for them. The breakthroughs it claims credit for arrive, when they arrive, through private sector translation that captures the commercial value. He pays for the inputs and is excluded from the outputs while being told that his skepticism about this arrangement reveals his ignorance.
Christopher Lasch, the cultural critic whose work the professional class has largely memory-holed precisely because it is so accurate about them, described this pattern with devastating clarity. The revolt of the elites, in his analysis, was the withdrawal of a credentialed class from common life and common accountability into institutions that serve their own reproduction while claiming to serve universal interests. Science funding advocacy is among the purest contemporary expressions of this pattern. The institutions justify themselves through appeals to public benefit while being structured entirely around professional class reproduction, the training of graduate students who will train graduate students, the publication of papers that will be cited in papers, the administration of grants that will fund the administration of future grants.
The Sputnik Template
Every expansion of the federal science funding apparatus has been justified through a crisis narrative that, examined carefully, turns out to be substantially manufactured or at minimum heavily exploited. The Sputnik moment generated the National Defense Education Act and a massive expansion of federal involvement in science and mathematics education. As Nicholson Baker documented in his examination of American math education, the curriculum changes this panic produced were not designed around pedagogical evidence but around a crisis atmosphere that benefited curriculum developers, administrators, and federal agencies at the expense of students who emerged from reformed classrooms less mathematically capable than their predecessors. David Edwards and others have traced how the Sputnik propaganda moment was exploited to reshape funding priorities in ways that served institutional interests rather than genuine national need. The crisis was real enough in the narrow sense that the Soviet Union had launched a satellite. The policy response bore essentially no relationship to what the situation actually required.
The template has been recycled reliably ever since. The war on cancer justified NIH expansion. The AIDS crisis justified further expansion. The genomic revolution justified more. Each expansion was accompanied by specific, measurable promises about what the investment would produce and specific timelines on which results would arrive. Almost none of these promises were kept on anything like the promised terms. Cancer mortality has declined but modestly and through a complex combination of factors in which federally funded research plays a contested and probably exaggerated role. The human genome was sequenced at enormous public expense and the disease-curing revolution it was supposed to unleash has been, twenty years later, incremental at best. The press covered each promise with credulous enthusiasm and has largely declined to produce the accountability journalism that would examine what was actually delivered.
The Opportunity Cost the Coverage Never Mentions
There is an argument against federal science funding that the New York Times has never seriously made and almost certainly never will because making it would require the paper to examine the interests of its own readership with the same critical attention it applies to coal miners or factory owners. The argument is about opportunity cost, the value of what is not created because resources have been extracted and redirected.
Every dollar that flows through the federal science funding apparatus is a dollar that cannot fund the next BioNTech, the next SpaceX, the next private research organization pursuing genuinely heterodox work outside the paradigm-reproducing machinery of peer review and grant committees. SpaceX achieved reusable orbital rockets for a fraction of what NASA spent on comparable capabilities over decades. Starlink delivered internet connectivity to underserved global geography faster and more cheaply than any government program had managed or projected. These achievements happened not despite the absence of federal direction but at least partly because of it, because private capital facing actual consequences for failure operates under discipline that grant-funded researchers do not.
The talent side of this calculation is equally important and equally unexamined. The PhD overproduction that the STEM shortage myth has driven for decades represents an enormous misallocation of human capital. Researchers who might have built companies, engineered products, or pursued independent inquiry instead spend their most productive years in postdoctoral positions that pay poverty wages while producing papers that nobody reads in service of careers that mostly do not materialize. The STEM shortage narrative that justified this pipeline was documented fabrication, driven by industry lobbying for visa expansion to suppress wages and university interest in enrollment revenue, repeated credulously by the same press that now mourns the apparatus producing it.
The countries that built the largest state-directed science establishments, the Soviet Union, China, India, produced the fewest Nobel prizes and the least transformative innovation relative to their investment. Switzerland, with nine million people and a heavily decentralized research culture built around genuine institutional independence, produces more prize-winning science per capita than any comparable nation. The correlation between state direction and scientific stagnation is not coincidental and not explained away by appeals to political repression as a confounding variable, because the tendency toward political direction of research is not separable from state funding of research. It is inherent to it.
The Hypocrisy Worth Naming
The liberal establishment’s defense of science funding would be more credible if it were consistent. It is not. The same institutions and publications that invoke peer review as the gold standard of knowledge when defending NIH budgets spent years suppressing serious engagement with the lab leak hypothesis, a question with genuine empirical content and enormous policy implications, because engaging it seriously was politically uncomfortable for the apparatus that had funded the research in question. Science was invoked selectively, as a shield when it protected preferred conclusions and quietly set aside when it threatened them.
The gain of function research case makes this hypocrisy structural rather than incidental. NIH funded research through grant structures that provided plausible deniability about what was actually being conducted, in a foreign laboratory with inadequate biosafety oversight, on pathogens with pandemic potential. The question of whether this research contributed to COVID-19 remains genuinely uncertain. What is not uncertain is that this category of research creates nontrivial probability of catastrophic release. Expected value calculations applied honestly to this risk, even assigning modest probability to pandemic-scale outcomes, produce numbers that dwarf any plausible research benefit. This is not a fringe concern. It is a straightforward application of the kind of risk analysis that serious people apply to nuclear facilities, chemical plants, and aviation safety. The establishment press did not apply it. It defended the funding, attacked the questioners, and is now defending the apparatus against accountability with the same reflexive unanimity it brought to every previous defense of every previous expansion.
Plum Island and equivalent defense-adjacent biological research facilities represent the same risk profile wrapped in classification that makes accountability even harder than in civilian science. That these facilities have produced no documented groundbreaking cures or insights proportionate to their cost and risk is a fact that receives no serious coverage, because the security classification that makes accountability difficult also makes the facilities politically untouchable in ways that NIH is not.
What Genuine Science Journalism Would Look Like
A press corps genuinely committed to the values it claims to hold, empiricism, accountability, following evidence wherever it leads, would cover science funding policy the way it covers other large government expenditures. It would ask what was promised and what was delivered. It would examine the incentive structures that shape researcher behavior and publication patterns. It would take seriously the testimony of researchers outside the apparatus, the heterodox physicists, the skeptical mathematicians, the private sector engineers with elite technical formation who look at string theory or quantum computing hype or NIH overhead rates and see an emperor with no clothes. It would report the Bloom and Jones findings on research productivity decline with the same urgency it applies to climate data. It would examine the class interests behind science funding advocacy with the same critical attention it applies to the class interests behind coal subsidies.
It does not do these things because the people who produce it and the people who consume it are the same people whose interests the apparatus serves. The New York Times is not a neutral observer of professional class institutions. It is the house organ of the professional class, which means its science coverage is not journalism about science so much as advocacy for a specific funding apparatus dressed in the language of empirical values.
Just Deserts, Administered Unjustly
Trump’s cuts are blunt, politically motivated, and will inevitably spare equivalent rent-seeking wherever it has military or ideological utility to his coalition. The defense budget he simultaneously expands represents an identical or worse version of every pathology identified here. The F-35 program consumed over $400 billion across decades while delivering a compromised aircraft inferior in key respects to cheaper alternatives, a monument to cost-plus contracting, revolving door corruption, and congressional pork distribution masquerading as national security. If the argument against NIH funding is opportunity cost, unaccountability, captured institutions, and negligible returns relative to investment, every syllable applies with equal or greater force to Lockheed Martin’s guaranteed profit margins and the think tank ecosystem that manufactures threat inflation to justify defense budgets the way Sputnik panic manufactured justification for NSF expansion.
Trump’s exemption of military spending from the accountability logic he applies to civilian science is not a principled distinction. It reflects whose rent-seeking has political utility to his coalition versus whose does not. Defense contractors, Rust Belt military bases, and veteran constituencies are politically valuable. Urban credentialed scientists are not. The cuts follow political geography as much as principled analysis.
The scientific establishment deserves the accountability shock. The specific instrument delivering it is hypocritical, politically motivated, and will spare equivalent or worse rent-seeking wherever it has political protection. Just deserts administered unjustly is still just deserts. But it is not a principle and it will not produce the genuine reform the situation actually requires.
The deeper problem, institutional capture, credential inflation, opportunity cost extraction, manufactured crisis narratives, paradigm protection through career exclusion rather than refutation, will not be resolved by cuts that follow political loyalty rather than rigorous evaluation. It requires what neither Trump nor the scientific establishment is willing to contemplate: genuine accountability, prize-based and results-oriented funding mechanisms, elimination of publish-or-perish incentives, serious engagement with heterodox research that challenges established frameworks, and honest reckoning with what the apparatus has actually produced relative to what it has consumed.
That argument will not be made by this administration. It will not be made by the New York Times. It will need to come from outside the apparatus entirely, from people with the formation to understand the problems and the independence from institutional position to say so clearly. The establishment will call them cranks. It called Semmelweis a crank too.
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