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Third iOS 27 and iPadOS 27 Public Betas Now Available
Apple today released the third public betas of iOS 27 and iPadOS 27, allowing anyone with a compatible device to download and test the new software. The third betas come two weeks after Apple seeded the second betas. You can get started by signing up on Apple's beta website and then opting in to the public beta by going to Settings > General > Software Update and choosing the iOS 27 or iPadOS 27 Public Beta option.
Much-wishlisted 100-player shooter Wardogs gets an early access release date and promises refunds for anyone unhappy with the closed beta
Indie multiplayer shooter Wardogs will soon be available to anyone who doesn't want to wait around of a closed alpha invite.
A Zoom Screen-Sharing Bug Let Anyone Take Over Other Devices on a Call
Researchers say it took fewer than 20 prompts for a public AI tool to find a flaw (now fixed) allowing anyone on a Zoom call to hijack another participants’ device.
The U.S. Healthcare System is Already Mostly Socialized
Now that Abdul El-Sayed is the Democratic nominee for Michigan’s open Senate seat, the outcome of this crucial race will depend mainly on two things: Whether Republicans succeed in demonizing El-Sayed because he’s brown and a Muslim, and whether they succeed in demonizing him as a left-wing radical. I will defer for the now the question of whether bigotry will be effective this year, although I will address it another day. What I want to address instead is El-Sayed’s signature issue — healthcare. Yes, El-Sayed advocates Medicare for All, a position the usual suspects denounce as “socialism.” I will get to the politics of his stance soon. Today, however, I want to talk about the substance. We should be clear that El-Sayed doesn’t even call himself a socialist. On the contrary, he explicitly disavows the label, saying “I’m a capitalist who just knows about capitalism”. In fact, as I explained in a previous post, the policies that El-Sayed advocates qualify him as a social democrat, not a socialist. Still, El-Sayed advocates a system under which the government would pay almost all medical expenses. Isn’t that socialism? Well, if that is the criterion then much of U.S. healthcare is already socialist. In fact, the government’s role is so large that U.S. healthcare is better described as partially privatized socialism than as anything resembling a free market. Let’s start with the raw numbers on health insurance, which pays the bulk of Americans’ medical expenses. Americans receive health insurance either from private companies or from public programs, overwhelmingly Medicare and Medicaid. Here’s what the breakdown of coverage and spending between private and public looked like in 2024: While a majority of Americans with health insurance get it from private companies, well over 100 million of us are covered by government programs instead. And these government programs pay more total dollars for medical bills than the private insurers do. Why do government programs that cover a minority of the population account for a majority of health insurers’ outlays? Mainly because Medicare covers seniors, and we’re expensive. Also, while Medicaid covers many younger Americans, disabled and elderly beneficiaries account for most of its spending. Even by the raw numbers, then, U.S. health insurance looks as much public as private. But that understates the government’s role: Private health insurance in the U.S. is both highly regulated and heavily subsidized. This is obviously true for the insurance coverage purchased by tens of millions of Americans through the exchanges established by the Affordable Care Act. But employment-based health insurance, which covers 161 million Americans, is far more of a government creation than most people realize. For employment-based insurance exists largely because of huge implicit government subsidies that come with major strings attached. Here’s how that works. If your employer pays you $10,000, that’s taxable income. But if your employer pays $10,000 toward a company health insurance plan that meets certain criteria, it isn’t taxable. That’s a huge effective subsidy, running at more than $300 billion a year. Take that subsidy into account, along with the more than $100 billion per year spent subsidizing policies purchased under the ACA, as well as the outlays on Medicare and Medicaid, and net effect is that the government pays for more than two-thirds of Americans’ health insurance. Granted, there are strings attached. Roughly speaking, employment-based health plans can’t discriminate based on medical history — that is, they can’t deny coverage to employees with pre-existing conditions — and they also can’t offer the plans only to highly compensated employees — a health plan that is only for the C-suite is considered taxable income. So given the restrictions of the federal tax code, employer-based health insurance is a lot like Obamacare, which also prohibits discrimination based on medical history and provides subsidies to make insurance affordable to lower-paid workers. The fact is that virtually all of private healthcare insurance is already well under some form of government control through regulation and tax subsidies. How should we think about this system? First of all, is Medicare socialist? Don’t tell anyone, but the way Medicare operates — it covers every senior’s medical expenses, whatever they turn out to be, while being funded by taxes that depend on one’s income — could be summarized by the old Marxist slogan “From each according to his ability, to each according to his need.” And back in 1961, when Ronald Reagan was the face of a last-ditch effort by the American Medical Association to block the creation of Medicare, he denounced Medicare as “socialized medicine” and warned that it would destroy our freedom. In reality, American freedom survived until Jan. 20, 2025, while Medicare is immensely popular, with an 82 percent favorable rating in the most recent KFF survey. Medicaid, government health insurance for lower-income Americans, comes in at 73 percent. This is in sharp contrast to public views about private insurers, who are widely disliked if not hated and accused of denying essential care. Furthermore, if Medicare is socialism, then the whole U.S. health insurance system, with the government paying most of the bills and placing conditions on private insurers, is almost equally socialist. If you insist on calling any program the government pays for and regulates socialist, then U.S. healthcare would best be described as a partially privatized form of socialism. And one must ask, what is the point of the part that is privatized? Do private insurers add anything positive? Or are they simply parasites, skimming off money that could have been paying for care? The case for viewing insurers as parasites is strong. Many Medicare benefits are now delivered via Medicare Advantage, that is, plans paid for by the government but run through insurance companies. MedPAC, an independent advisory commission, estimates that last year Medicare Advantage plans were overpaid by $84 billion, thanks to practices such as “upcoding,” in which patients’ health problems are overstated to get larger sums from Medicare. Assessing the waste from employer-based insurance is harder, but most evidence suggests that private insurers have substantially higher administrative costs than Medicare does. Furthermore, the complexity of private insurance, with multiple payers all trying to deny care when they can, is a huge burden both on providers — doctors, nurses, and hospitals — and on patients. What do private insurers offer to compensate for these costs? One must go through intellectual contortions to avoid the conclusion that they are, in fact, parasites. Which brings me back to El-Sayed. In supporting Medicare for All, he’s basically calling for an end to the partial, parasitic privatization of a healthcare system that is already hugely dependent on public funding. When one looks at it that way, it’s not at all a radical proposal. Admittedly, the political lift requires overcoming the opposition to higher taxes to pay for Medicare for All. Political realism rather than economics was the reason I and many other progressives supported Obamacare, with all its complexities, rather than demanding an immediate move to Medicare for All. But the political calculus may very well have shifted since the 2000s, as Americans are fed up with a system of unaffordable premiums, rampant claim denials, and byzantine claim administration. Moreover, funding healthcare insurance through taxation would allow for a much more progressive distribution of the cost. That is, compared to the present system, middle-income households would pay less as high-income households would pay more. And the U.S. would stop wasting large sums on pointless administrative costs. So let’s be clear: El-Sayed’s healthcare platform is perfectly reasonable on the merits of cost, fairness and health efficacy. And with private insurers never more hated, while millions of Americans are losing their health insurance, 2026 may be its time. MUSICAL CODA
Leaked Galaxy S26 FE specs confirm another battery disappointment from Samsung
Samsung doesn’t seem to even try to surprise anyone with its next Fan Edition phone.
Health officials look for swine flu after pig dies at fair
Health officials are telling anyone who had contact with the pigs at the Kent County Youth Fair last week to watch out for symptoms of swine flu.
I deleted Instagram. Freedom from rage-bait feels great.
Content on X and Instagram is designed to manipulate, to make me harshly judge anyone who doesn't agree with what I believe to be right and true.
Sophie Cunningham and the Fever are focusing on basketball. Does anyone care?
The Fever and Aces played a highly entertaining basketball game Thursday night. Though other things happened around the basketball part.
Science|Business summer reads of 2026
As most people in the European research and innovation policy bubble are going on a well-deserved summer break, we have come up with a list of our favourite books, podcasts and essays from the past year that ask deeper questions about science, technology and politics.BooksPasteur’s Quadrant: Basic Science and Technological Innovation, by Donald StokesIf you haven’t read Pasteur’s Quadrant yet, now is the time. In the EU and elsewhere, we’re living through a period of dwindling faith that curiosity-driven research automatically leads to economic growth and technological progress. Pasteur’s Quadrant, published in 1997 by the Princeton academic Donald Stokes, is the most influential critique of the standard “linear model” of R&D: the idea that new discoveries made in ivory-tower labs get neatly passed on for commercialisation by start-ups. In reality, Stokes argues, practical applications often inspire more theorical lines of inquiry. Of course, we have long known that things are more complex than the linear model, but even today, it’s still often assumed in Brussels discourse. The book is a useful corrective, and is being used now to argue for new types of scientific institutions. David MatthewsThe Weaponization of Expertise: How Elites Fuel Populism, by Jacob Hale Russel and Dennis PattersonAre society’s problems solvable by technical expertise alone? “If only the benighted would listen,” say Jacob Hale Russel and Dennis Patterson, two professors at Rutgers Law School who got frustrated with how scientists and politicians handled public health communication during the Covid-19 pandemic. In the book, they argue that clichéd mantras about scientific evidence and expertise perpetrated by academics, journalists and politicians have harmed public trust in the very institutions they were trying to defend. Paradoxically, slogans such as “we believe in science,” “follow the science” and “defer to the experts” can fuel mistrust in science, experts and democratic institutions. The authors criticise “condescension” and “technocratic paternalism” in the public discourse and make the case for a more nuanced approach to scientific and expert policy advice that rests on humility, doubt, scepticism and open dialogue. “Most complex social questions in fact revolve around values, not the recitation of unambiguous facts,” they say. Florin ZubascuBreakneck: China's Quest to Engineer the Future, by Dan WangIn this book, Dan Wang compares the structural differences between the US and Chinese industrial policies, but raises a very timely question for innovation policy wonks: how can advanced manufacturing know-how contribute to technology-intensive economic growth? Wang says technology has three components: the tools, the blueprints and patents, and the process knowledge. The third component represents the “proficiency gained from practical experience, which isn’t easily communicated and requires years of implementation.” According to Wang, rather than seeing tools and blueprints as the ultimate ends of technological progress, policymakers should see them as milestones in the training of better scientists and manufacturers. Over the past decades, China has amassed “process knowledge” because capital flowed to complex fabrication facilities, while investors in the West have parked their money in capital-light businesses such as digital platforms or chip companies that focus on design. As it turns out, thanks to its oversized focus on manufacturing, China has gained remarkable advantages in the global technology race. Florin ZubascuBaltic: The Future of Europe, by Oliver MoodyWhat can Europe learn from the nine countries surrounding the Baltic Sea? Alongside the familiar stories about Estonia's digital transformation, the book examines how the region has used technology, resilience, education, governance and long-term thinking to respond to geopolitical, economic and security challenges. Innovation policy wonks might find fresh perspectives on how innovation can strengthen defence, societal resilience and Europe's capacity to adapt in an uncertain world. Whether or not you agree with all of Oliver Moody's conclusions, the book is a useful guide to a region that is increasingly shaping European debates on security, competitiveness and technology. Goda NaujokaityteThe Invention of Nature, by Andrea Wulf This book chronicles the wild and adventurous life of natural science pioneer Alexander von Humboldt who at some point in the 19th century seems to have been just about the most famous person in the world. Through scientific expeditions to the Andes Mountains and to the depths of Siberia, von Humboldt contributed a host of discoveries and concepts. During his life he met and formed relationships with historical figures as different as Johann Wolfgang von Goethe, Simon Bolivar, Thomas Jefferson, Napoleon Bonaparte and Charles Darwin. He is also claimed to be the person in the world with most things named after him, a list that includes an ocean current, a penguin and a region of the Moon. Still venerated in Germany, with numerous scientific institutions named after him, von Humboldt has slipped out of public consciousness in most of the rest of the world. For anyone not familiar with him, this book does a good job of describing his fascinating life. Ole EllekrogCareless People, by Sarah Wynn-WilliamsYou may have heard this referred to as the book Meta doesn’t want you to read. The 2025 memoir from Sarah Wynn-Williams, former director of global public policy at Meta, then just called Facebook, includes explosive claims about everything from a toxic workplace culture to how the company worked with advertisers to target vulnerable teens, and the lengths it was prepared to go to in order to break into China. It’s a fascinating insight into how and why the tech company gradually shifted its approach to policy, whether in the US, Europe or Asia. Meta has denied the allegations in the book, and last year won an emergency ruling to prevent Wynn-Williams from promoting it. In response, the author is now suing her former employer. If that doesn’t make you want to read it. Martin GreenacrePodcastsThe Europeans: Europe’s anti-ElonThis podcast is a great choice for a light-hearted dose of European policy and culture news. Most of it has little to do with research, innovation and technology, but this particular podcast features an interview with Mastadon’s founder Eugen Rochko. He talks about his experience running an open-source, federated, European-made social media platform, and leaving it all behind. The conversation, which starts 14 minutes in, gently encourages us to reflect on what kind of technology we, as Europeans, want to make. Goda NaujokaityteSolarpunk and how we escape dystopiaNew technologies are very often taken from science fiction. Alberto Santos-Dumont, inventor the airship, was inspired as a child by the adventure stories of Jules Verne. OpenAI’s attempt to build a personal assistant with the voice of Scarlett Johansson was lifted from the 2013 film Her, completely ignoring the movie’s cautionary message. So if we want better tech, we need to imagine it first. Unfortunately, the state of current sci-fi is relentlessly dystopian, giving inventors precious few ideas or hope. However, a new genre, Solarpunk, which envisages a technologically advanced but ecologically harmonious future, is now taking off. The actual tech the genre imagines, such as permaculture, renewable energy or community repair workshops, while nice, isn’t all that inspiring or ambitious. But it’s a first step towards rescuing sci-fi from its pessimistic Blade Runner rut. David MatthewsEveryday AbundanceLaunched in June, Everyday Abundance is a podcast that tells the stories of the inventions we now take so for granted that we barely given them a second thought. For example, the washing machine, which liberated women from a lifetime “bent over washtubs and washboards.” Or modern dentistry, which ended the reality that “tooth pain was simply part of human life.” Historians of technology, Virginia Postrel and Charles C Mann are very much on the optimistic end of the spectrum when it comes to the capacity of invention to improve human life. Here, they set out their case: if it wasn’t for progress, you might be hunched over a washtub with toothache rather than reading these words. David Matthews‘We will not know what we lost’: Conservation fallout a year after USAID shutdownSince his return to the White House, Donald Trump has been on a mission to undermine science. He slashed jobs at federal agencies, terminated grants in some research areas, took unprecedented control over university affairs and, within hours of his inauguration, suspended the US Agency for International Development. While its initial focus was to administer health and food aid around the world, it had since expanded to conservation projects. The result? Some of these projects were stopped abruptly. In this Mongabay podcast, environmental reporter Michelle Nijhuis tells the story of the EcoGuard conservation programme in Liberia, whose local patrols had helped protect rainforests, monitor endangered wildlife and track illegal threats. From one day to the next, these were left without salaries. Luckily, she notes, the initiative was able to get emergency funding from international NGOs, but its future remains “incredibly uncertain.” Juliette PortalaEssaysThe Mars Delusion, by Henry WismayerWhy is humankind so fixated on establishing a colony on Mars? asks London-based writer Henry Wismayer. From space evangelists promoting Martian settlement as an insurance policy, to billionaire Jeff Bezos, who said humans should settle on Mars “because it’s cool,” the mission is not running short of advocates. However, in this essay, Wismayer reminds us that some critics expect any future Mars pioneer to end up “irradiated, sick, mad and dead.” Scientists have already looked into the possible effects of prolonged exposure to Martian gravity, and it’s not pretty: muscle shrinking, bones weakening, changes to the central nervous system and other biological modifications to make us all reconsider the journey. “Some researchers have forecast that the future settler, after generations of evolutionary conditioning, will look less like an Übermensch and more like ET,” Wismayer writes. Juliette Portala
Inside the Oval Office showdown between Trump and Jeanine Pirro
The showdown shows anyone who is willing to contradict a theory trumpeted by the president is in trouble, even if the dissenter happens to be among his closest family friends.
Chartbook 464 The"China squeeze" - the politics of development counterfactuals.
There are three types of China shock discourse. Each has a distinct temporal register. China shock 1.0 was a phrase coined by US academics in the 2010s to retrospectively summarize the impact on particular US labour markets, which they identified through painstaking empirical investigation. China shock 2.0 on everyone’s lips in Europe in the mid 2020s is an alarm raised by trans-Atlantic policy thinkers warning of a coming disaster which they project onto Europe’s ailing car industry. The third type of China shock discourse - commonly known as the “China squeeze” launched most recently by Indian economists Shoumitro Chatterjee and Arvind Subramanian in the pages of Foreign Affairs - mobilizes a different, more speculative temporal register: the counterfactual realm of alternate history. The China squeeze argument asks not what has happened, or what is going to happen, but what might have been. Specifically, what options for economic development might have been open to Global South economies like India or the economies of sub-Saharan Africa, had it not been for China’s spectacular industrialization since the late 1990s and the persistent competitiveness of China’s manufacture in low-skilled segments. Chatterjee and Subramanian’s argument is that whilst China has built a powerful position in electrical machinery and other high-skill manufacturing, which is now delivering China Shock 2.0, it also continues to run a trade surplus in low-skill, labour-intensive manufacturing. This surplus is large and has remained largely unchanged in fifteen years. Indeed, in the 2010s, in trade with low-income countries, China’s surplus rapidly increased. On their reading, this squeezes low-income producers in low-skill sectors in which they “should” be able to compete. Source: “China’s Mercantilist Squeeze on Developing Countries” Shoumitro Chatterjee and Arvind Subramanian. Peterson Institute for International Economics 26-7 May 2026 Chatterjee and Subramanian’s wording is telling: (emphasis mine) The canonical trajectory of economic development in the post-World War II period is for countries to transition from agriculture to manufacturing, first in low-skilled manufacturing and then later on to high-skill manufacturing (Herrendorf, Rogerson, and Valentinyi 2013). At the global level, this implies that high-income countries (HICs) that once specialized in low-skilled activities cede manufacturing export space to poorer countries that come along to occupy that space. In 1965, advanced economies accounted for about 60 percent of global value-added exports in four key low-skilled manufacturing sectors, i.e., apparel, leather, textiles, and footwear. Over time this share declined and began to be occupied first by the East Asian tigers and, beginning in the late 1990s, by China. Today China accounts for about 50 percent of the global market. The question is whether China, with its rising prosperity, is continuing to behave like its richer counterparts and ceding export space to poorer followers or to behave unlike them and continuing to occupy space. In terms of the conceptual maneuvers it performs, of the three China shock discourses, the “China squeeze” argument is by far the most ambitious. After all, it bases its critique of China on a counterfactual imagining of the world. Like any counterfactual argument, to construct this alternative reality it must rely on a heuristic model. To make their argument Chatterjee and Subramanian mobilize two key claims. The first reference point is the actual history of rich-country industrialization, what they refer to as the “canonical path”. The idea is that countries transition from agriculture to light industry and low-skilled manufacturing and from there up the value chain. To make this useful as a standard of comparison and a means to construct a normative standard, they adjust sectoral export shares for two factors: 1. the underlying level of economic development of the exporting country, as measured by national income and 2. the degree to which the sector in question is internationalized. The idea being that for a high income country to have a high export share in low-skill sectors is anomalous and even more so if that particular product is highly internationalized and thus suitable for being “conceded” to lower-income competitors. Where should this process end? Here Chatterjee and Subramanian introduce their second benchmark. Their normative idea of a global development path is one in which, in due course, low-skill manufacturing exports are distributed in proportion to a country’s share in the global labour force. They imagine, in other words, a world of proportional, polycentric global development without much national specialization in low-skill manufacturing. A useful benchmark is that, in labor-intensive manufacturing sectors, a country’s share of world exports should be broadly commensurate with its share of the world’s low-skilled labor endowment. … In the Heckscher-Ohlin model, this would be true if value added per worker and export propensities, i.e., fraction of output that is exported, are the same across countries. It is this pleasant liberal vista of orderly global development, progressing towards a general distribution of low-skilled manufacturing against which they judge reality and conclude that the low-income countries are suffering a “China squeeze”. China is not exiting low-skill sectors fast enough Allowing for its gdp level and the degree of globalization, China’s share of low-skill manufacturing exports is far higher than it “should” be. Relative to population, its low-skill share of exports is far too high. That in turn yields the conclusion that huge numbers of jobs - the authors suggest tens of millions - are being hoarded by China. For the four sectors captured in figure 4, this excess in value-added exports is $110 billion in 2022. For all low-skilled sectors overall captured in appendix figure D.1, excess value-added exports amount to $365 billion. The crowding out of LMIC exports by China is therefore substantial. Both these claims have in common that they are strong structuralisms. The first is that development paths ought to resemble each other. The second is that broadly speaking as far as low-skilled manufacturing is concerned, all countries are alike. If the world currently diverges from the distribution of trade implied by these assumptions, if China is not following the advanced economy path and has huge exports, this must be the result of “policy”, which the authors then put in question as illegitimate or unfair. Thus the naturalistic construction of a canonical path leading to a “level” distribution of low-skilled manufacturing reveals itself to be a polemical tool. From the point of view of China shock polemics, this discourse is no doubt welcome. But as an account of economic history, it must surely be regarded as nothing short of bamboozling. Development paths do not follow a regular, natural sequence. As David Fishman put it aptly, “development is not a queue”. They are always and everywhere, through and through political. Development is not so much a process, as a project. Each such project is more or less well adjusted to its context. As Gerschenkron taught uneven and combined development implies differentiation rather than simple imitation on a single parth. It may be true that Europe and the US exited relatively early from low-skill work. But clearly technology has changed. As C&S themselves point out, China no longer enjoys a low wage environment. Do they really believe that such huge differences can be accounted for either by industrial policy, which as they admit does not operate powerfully in low-skill sectors, or by exchange rate manipulation? What is overwhelmingly dominant in explaining the persistence of “low-skill” manufacturing in China are surely the network effects of complex supply chains. Indeed the label of “low-skill” may miss the point. The degree of globalization which Chatterjee and Subramanian decide to conjure away in their model of the development path - to allow for the fact that Europe and American textiles exporters did not enjoy just-in-time logistics in the 1950s - obscures the point that the networks through which Chinese factories supply the world are themselves key parts of the low-skill industrialization project. China isn’t knocking out 1970s style “cheap”. It has redefined the entire product cycle. C&S’s casual reference to “T-shirts” is telling. In today’s “fast fashion”, there is weight on both terms. Fashion and fast. China’s success in delivering on both at unprecedentedly high speed and at unprecedentedly low cost, isn’t a low-skill operation at all. If we see development trajectories not as the serial repetition of the same, but as distinctive, crafted projects that cumulate in complex agglomerations of skill, technology and labor, then this explains why the assumption that low-skilled manufacturing should follow the distribution of population flies in the face of all experience. As countless cases attest, low-wage, low-income developed economies are not by themselves the makings of a competitive production base. As Leon Liao puts it quite fairly: “International trade has never been allocated according to population. A country’s population gives it no natural claim to an equivalent share of global exports." And the remarkable fact is that Subramanian alone and with co-authors has long been making this point, not to pillory China, as is the case of the tendentious _Foreign Affair_s and Peterson pieces, but to highlight the great counterpart to China’s industrial success, namely India’s relative failure. The much-quoted Foreign Affairs piece showed low-skill export shares only for China, not for India. If you put both countries in the picture as Chaterjee and Subramanian have done on other occasions, the picture looks like this. China is far above the line, but India, almost as large in terms of population, is no less anomalous, just in the opposite direction. As far as global populations are concerned, and the imagining of tens of millions of “squeezed” jobs, it is this Sino-Indian pair that account for a huge share of the action. What this graph reveals is not China’s cheating, but India’s “greatest development failure”, at least this is the argument made Arvind Subramanian, this time in co-authorship with Devesh Kapur, in their major book, A Sixth of Humanity. Independent India’s Development Odyssey which appeared with Oxford University Press earlier this year. In this highly critical work on India’s development, China is repeatedly evoked, not to criticize but as a benchmark against which to illuminate what India’s political economy has not delivered i.e. large-scale formal employment for hundreds of millions of citizens. Kapur and Subramanian leave no doubt, if you want to understand why China, not India was the main driver of manufacturing globalization from the 1980s, don’t look to slots opening up in the division of labour thanks to the liberal mindedness of advanced economies, look to the contrasting political economy of the Maoist PRC and India’s post-independence political economy. As Kapur and Subramian note: The great divergence between China and India did not begin in 1978 with the Deng reforms—it was well underway by then. In one of the great ironies of modern history, the conditions created by Maoism turned out to be a great launching pad for industrial globalization. As the comparison of India and China in 1980 makes clear, to imagine manufacturing would be equally distributed when populations are so differently endowed in terms of educational and nutritional is fanciful. Here is the data from Kapur and Subramanian, data which I explored back at the very beginning of Chartbook. As Kapur and Subramanian insist, the striking fact is that even as India’s growth accelerated from the 1980s, structural change has not. Formal employment in India lags woefully behind. Why? As Kapur and Subramanian note, the path-dependent impact of India’s poor early start was devastating. The list of factors they mention is long and weighty: We argue for a new five-fold explanation applicable at different stages of Indian history: in the initial stages, the legacy of two key pre-1980s policies, the neglect of agriculture and the strangling of the domestic private sector, were critical. The failure of broad-based agricultural growth militated against rural industrialization, which would have been devoted to satisfying local needs that would have necessarily been labour intensive. Then, when the boom came after 1980, the thicket of regulation and broader labour protections that were legislated prematurely in a nascent democracy, underpinned by a deep ideological aversion to private capital in general and big capital specifically, became a barrier to attaining the size that would be necessary to compete globally. Similarly, the reforms after 1991, while wide-ranging, did not quite encompass non-tradeable inputs critical to manufacturing, namely, land, logistics infrastructure and power. A combination of low investment (logistics infrastructure), regulation (land) and the continued monopoly supply by state governments (power), combined with residual socialism, kept costs at 75–100 per cent above efficient supply. These factors were compounded on the supply side by the government, which dominated the formal labour market and established exorbitantly high wages at the lower end of the skill spectrum. This made their employment in the labour-intensive sector by the private sector less attractive. Finally, when the services sector and its exports boomed, wages soared even further via a Dutch Disease effect: one successful tradeable sector killed and cannibalized another less-skilled tradable sector, namely, manufacturing. Thus, scarcity-inducing policies of the planning era, precocious democracy and a Gandhian aversion to size; inefficient, monopolistic supply of critical non-tradable inputs; the behemoth of government; and super-successful skill-intensive services successively undermined India’s unskilled labour employment opportunities. The employment failure seems to have been over-determined. … Less quantifiable but no less important are some of the sociological factors that have undermined manufacturing and factory jobs. Take the impact of the success of the IT sector—located in urban areas with better working conditions, such as air-conditioned offices, good schools for children and attractive entertainment options. It became a more attractive place for engineering and management graduates to flock to. … Consider manufacturing and female employment. Indian society makes it difficult for women to work, reflected in India’s unusually low female labour force participation (elaborated in Chapter XIII). Indian society, in particular the routine harassment of women in public spaces, makes it even more difficult for them to travel long distances to take up work.37 Combined with onerous regulations on creating hostels and dormitories for women—which, in turn, prevents multiple shifts of operation—factories need to be located in areas with a large female labour pool. While firms can take apparel plants to female labour or bring them to the plants by building large-scale dormitories, this raises costs. If there was a case for subsidies to encourage labour-intensive manufacturing, housing subsidies to build dormitories for women workers would be a good place to start. All of this meant, that when opportunities did open up, in part thanks to adjustments in China, India was in no position to take advantage. Here is the account of the 2020s from Kapur and Subramanian. It stands in dizzying contrast to the one-sided, “China squeeze” argument delivered in the Peterson and Foreign Affairs pieces: In 2022, for example, India’s share of global exports in clothing (the canonical labour-intensive sector) was 3.1 per cent compared to 32 per cent for China. This is extremely disappointing because China started vacating export space in this sector after the Global Financial Crisis as its wages started rising; it then vacated further space in the aftermath of geopolitical developments that led investors to seek alternative investment locations. Between its peak and today, China lost about 7.5 percentage points of global export share (worth about $43 billion in 2022); over this period, India’s export share remained stagnant at 3 per cent, while that of Vietnam and Bangladesh rose by 3.5 to 4 percentage points. China’s loss did not translate into any gain for India in terms of low-skill exports and employment. Put differently, when the conditions for dynamism and prosperity were established after 1991, and even more tantalizingly when the global export opportunities opened up, it was as if India was a high-wage economy and only skilled labour could benefit from the dynamism. It had converted its physically abundant unskilled workforce into an economically expensive resource, penalizing its use. It is not my mission here to argue for or against Kapur and Subramanian’s interpretation of India’s development trajectory. The point in this context is simply that the “China squeeze” such as it is can only be understood, in relation to the heavy burden of domestic constraints that Kapur and Subramanian so unsparingly enumerate. I am concentrating here on India because it is the great counterpart to China and the unspoken reference point of the “China squeeze” discourse. But the point is more general. Can anyone with a straight face suggest that the main problems afflicting the development of South Africa or Nigeria, the great centers of mass underemployment in sub-saharan Africa, are cheap competition from China driven by Beijing’s industrial policy and an undervalued RMB? Likewise, is the main problem of the American working-class the threat of Chinese competition or the manifest crisis of social reproduction in the United States itself? The point here, as in the discourse around China shock 2.0 in Europe, is to insist that we should not normalize the world and pathologize China, without actually investigating what is going on in America’s industrial wastelands, the German car industry, or India’s lopsided labour market. One-sided pathologization should be understood for what it is, a polemical gesture. Concepts like China shock and China squeeze are, what Reinhart Koselleck, following Carl Schmitt, would have described as “asymmetrische Kampfbegriffe”, or “asymmetrical counter-concepts” or “asymmetrical combat concepts”. If the function of arguments like the “China squeeze” is to alert elites in the rest of the world of the need to rejuvenate and energize their development projects, so be it. But let us see the resulting discourses as the mobilizing interventions that they are. Interestingly, a significant slice of China’s public sphere - the so-called industrial party - have been obsessed for the last twenty years with precisely these questions of counterfactual economic history. Since the mid 2000s, a massive online discourse developed around an alternative history in which Chinese techno-patriots were asked to imagine how they would proceed if they had the possibility of traveling back in time to transport modern technology into the Ming dynasty (1368-1644) thus averting the “great divergence” of the 18th and 19th centuries. It is a fantasy of course, but also a goad. The point was not directed at Westerners. The alternate history is dramatically nationalist, but few n the West had even heard of it until recently. The adherents of the industrial party are not liberal moralists. They don’t project natural ladders of international development and ask why others don’t cede space. They take the Realpolitik of global economic development for granted. Their pointe was directed against fellow Chinese. The rallying cry of the alternative narrative was this: Now that we are beginning to gain steam and push forward on our national development path, now that we are breaking out of the inferior position assigned to us even in the early years following WTO accession, do not lose yourself in humanistic imaginings about better futures. In the spirit of Deng, they called on China to embrace the hard truth of development. Perhaps one might of the Industrial Party as a cultural trend born out of desire for symbolic revenge against those who had inflicted the century of humiliation. In terms of the various temporalities of the “China shock” - retrospective, prospective and counterfactual - one might think of the Industrial Policy discourse as truly speculative, conjuring up the China shock that never was. Or perhaps one might better think of it as imagining a world in which a powerful China was no shock at all, but simply a defining fact of modern history. I love putting out Chartbook. I am particularly pleased that it goes out for free to thousands of subscribers around the world. But, writing this newsletter takes a lot of work. If you are enjoying it and would like to support the project, sign up for one of the subscription options here. It is the equivalent of a fancy cup of coffee per month! Subscribe
Pickleball, anyone? It’s for a good cause
ROCKY MOUNTAIN CHILDREN’S HEALTH FOUNDATION Arvada News: Pickleball is still quite the rage, and to capitalize on its popularity, the Rocky Mountain Children’s Health Foundation will host its first fundraising tournament on Aug. 23. It will be from 2-5 p.m. at Chicken & Pickle, 14225 Lincoln St., Thornton. Teams of two will compete in a full bracket-style tournament to determine the victor. Tickets […]
‘I did not steal’: Jacksonville businesses accuse influencer of taking money without delivering. He denies it
A social media influencer accused by Jacksonville-area businesses of taking money for food reviews and failing to deliver what they expected is pushing back against the allegations, saying he never stole from anyone and that some of the claims against him are false.
This Action Comedy Has a 97% Rotten Tomatoes Score (and Hardly Anyone's Talking About It)
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24/7 behavioral health walk-in center opens in Colorado mountain county
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This Week in Jacksonville - Business Edition: Experts urge tighter HOA oversight after $11 million fraud
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Health officials warn of another measles exposure at Gresham urgent care
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Can Anyone Spare a Buck For Texas?
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The Science Behind the AI Panic Is Shakier Than You Think
A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment
Survey results to shape Brown County health priorities and future improvement plan
The survey is confidential, and open to anyone in Brown County—age 18 and over—until the end of September, in print or online.
Penn State 2026 Breakout Candidates: Defensive Tackle
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Health officials seek diners after rabid bat lands on California restaurant table
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Sports media reacts to LeBron James signing with Philadelphia 76ers
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Health officials warn of rabies after bat lands on table at Vista restaurant
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Health department to hold free flood-recovery vaccine clinic Friday at Wesleyan
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Deputies searching for 2 connected with breaking and entering at Buncombe Co. business
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Light made a flip phone. It's colorful and it's cheap.
Light co-founder Kaiwei Tang helped create the Motorola Razr, and he's as surprised as anyone that over twenty years later, the flip phone is relevant again.
College football’s best QBs for 2026, plus poll results
The Pulse Newsletter 📣 | This is The Athletic’s daily sports newsletter. Sign up here to receive The Pulse directly in your inbox. Good morning! Don’t spy on anyone today. Coming up: 🏈 CFB QB tiers 📺 Clark out at ESPN 🗳️ Your poll results As one football leaves us, the next one settles in right on time. The World Cup is in the past now. American football is nigh. It’s time to switch our focus. At least until later in this newsletter. We’ve entered one of my favorite parts of the college football preseason: when predictions feel a little more weighty, just...
Nintendo says it has no legal duty to pass its U.S. tariff refunds on to consumers
Nintendo is asking a court to dismiss a proposed class action suit that was filed this past spring by gamers who say the Mario maker is breaking the law if it doesn’t pass on its U.S. tariff refunds to consumers. Those consumers “received exactly what they bargained and paid for” when buying price-hiked Nintendo goods last year, the company said in a filing on Monday in the case of Hoffert et al v. Nintendo. “Plaintiffs are not entitled to a rebate simply because of intervening legal developments related to tariffs.” Nintendo increased the price of Switch 2 controllers and the original Switch last year, following the imposition of globe-spanning U.S. tariffs (tariffs described by Nintendo’s lawyers on Monday as “sweeping” and “constantly changing”). This past February, the U.S. Supreme Court ruled that the tariffs were illegal. A month later, Nintendo sued the U.S. government to get a refund. And in April, gamers filed the class action claim against Nintendo in Washington, saying it would be illegally double-dipping if it made money from tariff-hiked sales and then from a refund. The gamers sought relief for anyone in the U.S. who bought price-hiked Nintendo items between February 2025 and February 2026. “The common thread among Plaintiffs’ claims is that it is somehow ‘unfair; that Nintendo has not retroactively adjusted its prices for completed sales in response to the outcome of the tariff litigation,” the company’s lawyers wrote in today’s motion to dismiss. “But that is now how commercial transactions work.
Shaky political "science": breakdown of the peer review process
[This article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in December 2025, we examined over 40 studies focused on ranked choice voting (RCV). Many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first four articles in our series: the first one summarizing the overall results of our report; the second one analyzed a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report; a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research; and a fourth article that analyzed seven studies sponsored by New America’s political reform program that deployed flawed methodology based on “simulated” elections instead of real-world elections, which when combined with some basic misunderstandings of RCV, produced odd and misleading results]. In this fifth article in our “Shaky Political Science” series, we examine two flawed studies on the impact of RCV on voter turnout authored by San Francisco State University professor Jason McDaniel. McDaniel’s research in these two papers stands out for its puzzling methodology, inadequate and cherry-picked data, and faulty analyses that not only misunderstands ranked choice voting but reflects a basic misunderstanding of politics in general. The first of the McDaniel studies actually passed through a peer review process and then was subsequently published by the Journal of Urban Affairs, despite its obvious errors. It is perplexing that a jury of peer political scientists did not catch the errors and send it back to McDaniel for a rewrite or outright rejection. This calls into question the credibility of the peer review process itself. The peer review process is supposed to represent the intellectual pinnacle of the profession – a way for academics to certify the quality of each other’s work, and to act as a check against sloppy research. In the case of the McDaniel study, the peer review process failed. Yet his flawed study has been cited dozens of times by other political scientists in their own flawed works — an unvirtuous circle of academic research. Here is the first Jason McDaniel study that we analyzed: “Writing the Rules to Rank the Candidates: Examining the Impact of Instant-Runoff Voting on Racial Group Turnout in San Francisco Mayoral Elections,” by Jason McDaniel, 2016, Journal of Urban Affairs. This study covered San Francisco’s use of ranked choice voting (RCV) in mayoral elections, purporting to show that RCV reduces voter turnout overall, increases voter errors, and has a negative impact on “marginal populations,” i.e. racial minorities, mainly as the result of the alleged complexity of RCV asking voters to rank candidates and having to be familiar with multiple candidates and related dynamics. McDaniel reached these conclusions by examining five San Francisco mayoral elections taking place in odd years (i.e. where there are no federal or state races on the ballot) from 1995 to 2011, comparing three earlier non-RCV races (in 1995, 1999 and 2003) with the later two RCV races (in 2007 and 2011). Only two RCV races were studied, and as McDaniel acknowledged, only the contest in 2011 was “competitive” (that contest in 2007 was the first mayoral election using RCV, and incumbent mayor Gavin Newsom won easily in the first round of counting, earning 74% of first choices and far ahead of the second place candidate who had just 6.3% of first choices). Yet even the allegedly competitive contest in 2011was won by an incumbent with a landslide margin of nearly 20 points. No other elections were studied by McDaniel, even though San Francisco elects 17 other offices besides mayor with RCV, including the 11 seats on the Board of Supervisors (the name for the city council) in even years, and six other citywide offices in odd years. Previous academic research has found that competitive elections can stimulate greater voter involvement and higher turnout. For unexplained reasons, this study ignored at least 34 other RCV races between the years 2004 to 2011, many of which were very competitive and had high voter turnout. Instead, McDaniel’s analysis based its conclusions on data from only a single, marginally-competitive mayor’s race using RCV. These 2007 and 2011 mayoral elections were the only two RCV elections that McDaniel used as the sole basis for his small data set to determine the impact of RCV on voter turnout. Despite having no meaningful data to inform his study, McDaniel nonetheless concluded that RCV lowered turnout when compared to the previous three mayoral non-RCV elections using two-round runoffs. Then, using the same inadequate database of San Francisco elections, McDaniel also found that “Instant-runoff voting is associated with a significant decline in Black voter turnout and White voter turnout…On average, Black voter turnout decreases by 18 points and White voter turnout decreases by 16 points …” But how could he credibly arrive at that conclusion when his study was based on voter turnout in two RCV contests that were not even remotely competitive? Beyond that, McDaniel tacitly admits that the key determining factor driving Black voter turnout was not RCV vs non-RCV elections, but the presence of a viable Black candidate. McDaniel wrote, “Black voter turnout was about 17 percentage points higher for the two elections that featured an African American candidate compared to the three elections that did not” — but one of those three elections did not use RCV. The same dynamic was present for White voter turnout, in which higher turnout was not correlated with RCV vs non-RCV elections, but the presence of a viable White candidate. Beyond that, McDaniel’s voter turnout results, whether correlated with the race of the candidates or RCV vs non-RCV elections, showed no clear patterns. In his Figure 1, he shows low Asian voter turnout in the non-RCV elections in 1999 and 2003 when there was no viable Asian candidate running, but in the 2007 mayoral election using RCV, there is still no viable Asian candidate, yet Asian turnout increases dramatically. For Latinos, voter turnout is virtually the same in 1999 (no viable Latino candidate, non-RCV elections), 2003 (leading Latino candidate, non-RCV elections), 2007 (no viable Latino candidate, RCV elections) and 2011 (leading Latino candidate, RCV elections). Meanwhile White voter turnout increased dramatically from a low in the 2007 mayoral election, in which the leading candidate was a white incumbent, to the 2011 election in which there were no leading white candidates that finished any higher than sixth place with 5.6% of the vote. Clearly other factors were determining voter turnout than either the race of the candidates or RCV vs non-RCV elections. Despite these inconsistent findings, McDaniel boldly marches forth to render conclusions about the impact of RCV on different groups of racial voters, even though his conclusions are not remotely supported by his data. This looks like the worst kind of “data cherry picking” to cover up a puzzling conclusion based on a poor data set involving only two RCV elections, neither of which were remotely competitive. McDaniel’s cherry picking didn’t stop there. In calculating voter turnout for the three non-RCV mayoral elections in 1995, 1999 and 2003, he failed to mention that in each of these years there was a two-round runoff election, with a first round election in November in which no candidate garnered a winning majority of the vote, followed by the decisive runoff in December. So there were two non-RCV elections in each election year. But McDaniel only decided to include one of the two elections in his data set, apparently the December runoff in each year (which had higher turnout in two out of the three mayor’s races, and lower turnout in the third). So he ignored the November 1995 election, the November 1999 election when turnout was only 45 percent, and the November 2003 election when turnout was only 45.7 percent. This is flawed methodology based on blatant cherry picking, since McDaniel simply omitted three elections worth of data that did not fit within his frame. His study should never have made it through a peer review process, and it is an embarrassment to political science that not only was it approved for publication, but it has been uncritically cited by dozens of other political scientists. Share A “study” without wider context or credible data Lacking a data set that included even a single competitive RCV mayoral race, McDaniel declared that RCV lowered voter turnout in 2011, when turnout was 42.5 percent. But he also ignored -- or did not realize -- that voter turnout in mayoral elections during 2011 had sharply declined in all big cities, including far more steeply in nearby Los Angeles and other cities. In fact, San Francisco’s election in 2011 had the second highest turnout of any mayoral election in the nation’s 22 largest cities from 2008-2011. Was 2011 just a particularly low turnout year all across the country, perhaps because the country was still reeling from the aftermath of the housing market collapse in 2008-2010? McDaniel ignored this factor and did not search for alternative explanations beyond his flawed thesis. Furthermore, while McDaniel suggested that RCV leads to more “overvotes” – which is an invalidated ballot in which a voter, in either a non-RCV or RCV race, makes a mistake and selects two candidates for a single choice – he failed to address that in the June 2012 US Senate primary contest, which used the typical “one-choice” plurality method and did not use RCV, there was more than five times as many overvotes in San Francisco and Oakland than in the RCV mayoral elections in those cities. Additionally, turnout had been significantly higher and more representative in RCV elections for the San Francisco Board of Supervisors races -- that McDaniel didn’t even bother to study -- as compared to previous “delayed two-round runoffs” for those offices, often higher by as much as 40% in the RCV races. Perhaps the most surprising irony was that an earlier study co-authored by McDaniel (Overvoting and the Equality of Voice under Instant-Runoff Voting in San Francisco by Francis Neely and Jason McDaniel, 2015, California Journal of Politics and Policy) found that overvotes are often more common in lower-income precincts, but that the pattern of overvoting is similar in both RCV and non-RCV contests. Wrote Neely and McDaniel: “[Overvote] errors appear to be a function of complexity in general and not IRV per se…. the pattern of overvoting is similar in both IRV and non-IRV contests…Even among votes cast in a top-of-the-ticket race like U.S. Senate, overvoting occurs in an uneven fashion” (IRV, or ‘instant runoff voting,’ is another name for ranked choice voting in single-winner contests). So McDaniel not only contradicted his own conclusion in his earlier study with Neely, but the earlier study had been an important corrective for one of the most frequently made mistakes made by anti-RCV political scientists – a continual failure to provide crucial context by pairing a comparative analysis of real world RCV elections with an analysis of real world plurality or other electoral methods. Unfortunately McDaniel’s earlier study does not get cited much by other researchers, and McDaniel did not even cite it in his own flawed study analyzed above. Incredibly, McDaniel cherrypicked McDaniel, even as his flawed study has been cited dozens of times. Despite being a textbook example of poor political “science,” featuring both inadequate as well as cherrypicked data, the shelf life of McDaniel’s study has been extended endlessly by other political scientists and media outlets who have cited it uncritically. Equally troubling, the Journal of Urban Affairs put this paper through its peer review process and published it despite its numerous flaws. McDaniel gets it wrong, Part II Not content with producing one shoddy, confused paper, McDaniel produced another one a few years later, here is the link: Electoral Rules and Voter Turnout in Mayoral Elections: An Analysis of Ranked-Choice Voting by Jason McDaniel. San Francisco State Univ. (McDaniel, 2019). In this paper, McDaniel extended his previous flawed research focused on San Francisco, about voter turnout and voter impact, to multiple RCV cities through the 2018 elections. In his data set he included San Francisco, Minneapolis, St Paul, Oakland, Berkeley, San Leandro and Santa Fe. He then compared their turnout in mayoral elections to non-RCV cities, and to mayoral elections in those cities held before first RCV usage, and concluded “a significant decrease in voter turnout of approximately 3–5 percentage points in RCV cities after the implementation of RCV.” But he replicated many of the same mistakes as his first study presented above. While in this study McDaniel attempted to distinguish between various factors, such as odd year vs. even year elections, competitive races vs. noncompetitive, contests with open seats and other factors, the analysis is superficial and inadequate. He attempts to incorporate so many often-conflicting variables that his conclusions are once again unsupported by the actual data, and ultimately unconvincing (this second study never underwent a peer review process). For example, McDaniel declared that for RCV cities “in elections that are more competitive than average (margin of victory less than 20%), there is no significant RCV effect on voter turnout.” Yet McDaniel is a professor in a city, San Francisco, in which the 2018 special election using RCV to fill a mayoral vacancy was exceedingly close, decided by a margin of only one percentage point, and resulted in the second highest turnout in San Francisco history for a mayoral election. Illustrating the complexity involved in assessing the critical factors in turnout, that special election was held on the same election day as federal and state offices, which tends to boost turnout. Yet more voters participated in that RCV mayoral election than voted on the same day in the non-RCV primary for governor in which former San Francisco mayor Gavin Newsom was running. Even more puzzling, in this study McDaniel inaccurately cited his own previous study from 2015 with Neely. McDaniel wrote, “Neely and McDaniel (2015) examine individual ballot image files within a natural experiment, and find higher rates of ballot errors in RCV elections compared to non-RCV elections” (emphasis added). However, we quoted from that 2015 study several paragraphs above, and in actual fact Neely and McDaniel actually concluded the opposite -- that the pattern of overvoting – which is the most common form of ballot error – is similar in both RCV and non-RCV contests. McDaniel also ignored the fact that in Bay Area RCV elections held in even years – at the same time as federal and state elections, when turnout is highest -- the “undervote” (that is, the dropoff in ballots cast for governor or mayor) has declined, which contradicts his thesis that the act of ranking ballots in RCV elections is too complex and presents a barrier for certain demographics of voters. To his credit, McDaniel actually acknowledged another contradiction in his own paper, which found a negative RCV turnout effect in some odd-year elections but not others, admitting that “may present a challenge to the theory that increased complexity [from RCV] will have a marginal negative effect on voter turnout.” But he tried to wallpaper over that contradiction by blaming it on an unlikely source -- bad election administration. McDaniels wrote, “This would suggest that the negative impact of RCV on voter participation may be alleviated by high quality election administration,” without presenting any data or even anecdotes to support such an unfounded theory. While competent election administration of any election, whether RCV or non-RCV, is crucially important, there is no credible research that supports the far-fetched notion that the quality of election administration has much of an impact on voter turnout in US elections, whether using RCV or otherwise. Upgrade to a $5 subscription The unvirtuous circle of academic research It is puzzling how McDaniel’s first study could have survived the peer review process for the Journal of Urban Affairs. The mistakes in McDaniel’s first study above should have been obvious to anyone with a basic understanding of ranked choice voting as well as elections in general, and elections in San Francisco specifically. It undermines faith in the credibility of the peer review process to think that a jury of peer political scientists did not catch the egregious errors and reject McDaniel’s sloppy research and paper. And it remains a black mark on political science that this thoroughly discredited study has been cited dozens of times by other researchers. Indeed, in our research paper it became apparent that many political scientists cite each other’s flawed research to pad their list of citations and to legitimize their own flawed research, creating an unvirtuous circle of political science. More broadly, McDaniel’s voter turnout studies, like other studies evaluating RCV’s impact on turnout, lacked a recognition that no credible opinion or research can claim that RCV increases voter turnout merely because so many voters are excited to vote for their favorite candidates instead of “lesser evil” candidates without worrying about spoilers. Instead, with respect to turnout, the advantage of RCV has always been that, in most places where it has been used, it has eliminated a pre-November primary or post-November runoff, which usually saw about half the turnout of the November general election. This is especially true during even years when there are state and federal elections on the ballot which substantially drive turnout more than local contests. Any study that does not adequately account for this non-November primary/runoff vs November general election dynamic, or odd year vs even year election factors, is simply not credible. Both of McDaniel’s studies largely failed on those grounds. Steven Hill and Paul Haughey Share Upgrade to a $5 subscription Thanks for reading DemocracySOS…your digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
Science can serve dark as well as light
I’m not sure how many of you are watching “Star City,” Apple TV’s spin-off of its “For All Mankind” program (2019-present), but it’s one of the better sci-fi series I’ve seen in a while, with an impressively dark political message. (Some light spoilers below.) For the uninitiated, “For All Mankind” presented a slightly tweaked history of the U.S. space program in which it was the USSR that landed on the Moon first in 1969, and shortly thereafter put a woman cosmonaut on the lunar surface. This sparks an ongoing space race that, in the original series, yields a lot of benefits for humanity. President Nixon’s insistence on a female astronaut corps to compete with the Soviets boosts the feminist movement of the 1970s and the ERA passes. New fuels generated for the space program create clean and cheap energy around Earth. There are also some darker changes — the USSR is thriving well into the 2000s, there are terrorist counter-technology movements around the globe, laborers on Mars work in nightmarish conditions and organize strikes and riots, etc. the @smotus report is a reader-supported publication. To support this work, please become a paid subscriber. Subscribe That show offers glimpses into the subtle ways this Earth is different. Teddy Kennedy never went to Chappaquidick because he was racing back to Washington to deal with the space program crisis; he gets elected President in 1972. John Lennon survives his early 1980s shooting but Pope John Paul II does not. The Apple Newton succeeded. Pretty much the whole of season 4 is a setup for an Al Gore joke. Again, mostly, the vision that “For All Mankind” presents is a positive one, with technology advancing many human interests. “Star City” goes in a very different direction. This spin-off show is about the same set of events but from the Soviet perspective. As we meet them, the team of scientists and cosmonauts responsible for the lunar landing are still basking in their hero status, but their program is embedded deep in the Soviet security state of the late 1960s. Everyone’s apartment is bugged. Whole teams of clerical staff spend their days transcribing recordings of people’s lives. People in the program, including respected cosmonauts, are regularly arrested. An incredibly menacing Colonel Lyudmilla Raskova (Anna Maxwell Martin) forces confessions and tortures and kills, expressing little more than annoyance in the process. Meanwhile, the space program’s highly respected Chief Designer (Rhys Ifans) has a vision for the program that he knows the government will not approve. He insists that they need to think past the Moon to focus on colonizing the solar system, starting with Venus. (This is a rough parallel to the Americans’ pivot to Mars in the original show.) He essentially builds a secret space program within the space program, calculating that the government will embrace the mission after it has succeeded. (As an aside, I’m not sure why the Venus obsession, as a successful mission can’t produce the biggest public relations payoff: a cosmonaut standing on the surface holding the Soviet flag. Anyone standing on Venus would be immediately crushed by the 92-bar atmosphere and then cremated in the 900°F temperatures. But in a country with no free press perhaps the visual payoff was less valued.) But the overall vision is that the technological advances have only amplified the most fearsome aspects of the Soviet system. The state is paranoid (but not incorrect) about American spies and does monstrous things to protect its secrets. People are terrified to trust each other. Classic banality-of-evil figures order people to harm those they care about; those people comply rather than get shot. Others are forced into criminal behavior to protect loved ones. We’re reminded all the time these days of what happens when a government despises science. It manifests in the defunding of schools, the elevation of fossil fuels as the rest of the world pivots to solar, outbreaks of measles and diarrhea, etc. But “Star City” offers a vision of a bad government that likes science. It’s not encouraging. It’s not yet clear if there will be a season two of this show. But I strongly recommend season one. It’s both thoughtful and gripping. Share
Deputies searching for missing Laurens County woman with health concerns
Anyone with information on her whereabouts is asked to contact Laurens County dispatch at (864) 984-2523.
Deputies searching for missing Laurens County woman with health issues
Anyone with information on her whereabouts is asked to contact Laurens County dispatch at (864) 984-2523.
Deputies searching for missing Laurens County woman with health issues
Anyone with information on her whereabouts is asked to contact Laurens County dispatch at (864) 984-2523.
Deputies searching for missing Laurens County woman with health issues
Anyone with information on her whereabouts is asked to contact Laurens County dispatch at (864) 984-2523.
We treat steady eye contact as proof of honesty, but the science is messier: it can signal dominance as much as sincerity, and liars often hold your gaze more, not less
Ask almost anyone how to spot a liar and you will get a version of the same answer. Watch the eyes. A dishonest person cannot hold your gaze. The idea is
Rabid bat found in Seattle near the University of Washington
A rabid bat was found in Seattle on July 15, 2026, on the sidewalk on University Way Northeast, between NE 41st and NE 42nd streets. This is near Parrington Lawn, on the University of Washington campus, and is a busy area with many businesses. Anyone who might have had physical contact with this bat (even if not bitten) could be at risk and should seek medical evaluation immediately or call Public Health at 206-296-4774 to determine if rabies preventative treatment is necessary.
Ranking Member Markey, Senator Hirono Reject Trump’s SBA Policy Proposal that Harms Underserved Small Business Owners and Entrepreneurs
Letter (PDF) (Washington, July 17) – Ranking Member Edward J. Markey (D-Mass.) and Senator Mazie Hirono (D-Hawaii) submitted a comment letter to the Small Business Administration (SBA) opposing a proposed rule change by Trump’s SBA to the 8(a) Business Development Program that would harm underserved small business owners and entrepreneurs. The 8(a) Business Development Program was created by Congress more than 50 years ago to level the playing field for small business owners and entrepreneurs who have faced discrimination in starting and operating their businesses. The SBA’s proposed change ignores the existence of historic discrimination that minority and underserved small businesses have faced and continue to face. In the letter, the lawmakers wrote, “SBA’s proposed rule ignores present-day barriers that entrepreneurs from minority and underserved communities face. Discrimination is not dead; minority entrepreneurs continue to face reduced access to contracting opportunities and capital, as well as racial threats and targeting, including unequal treatment, refusal by others to work with minority-owned firms, being called racial slurs, and bias in the workplace. These barriers lead to wide underutilization of, and less revenue for, minority-owned businesses compared to majority-owned businesses, as supported by decades of disparity studies. The proposed rule diminishes the history of systemic racial and ethnic discrimination in the United States by claiming that remedies for discrimination create discrimination in and of themselves.” The lawmakers continued, “The program has always been open to anyone who can prove they have experienced prejudice or cultural bias in education, employment, entrepreneurship, and other facets of our society. Nonetheless SBA has moved forward with the proposed rule. It lacks a reasoned basis, purporting that the federal government has discriminated against White Americans, but offering no substantive qualitative or quantitative data or research in support. If the examples provided in the proposed rule are the only basis for what constitutes discrimination to the agency, they are woefully insufficient. The final rule must provide strong evidence that there is discrimination against White individuals and show how the rule is narrowly tailored to address it. The record remains devoid of evidence of discrimination against White individuals on the basis of race.” Ranking Member Markey is fighting to protect federal programs that address historic discrimination against small business owners from minority and underserved communities, and for a small business agenda that ensures economic opportunity for all. In June, Ranking Member Markey released a statement condemning the SBA’s proposed changes to the 8(a) Business Development Program. Also in June, Ranking Markey released a new report highlighting Trump’s drastic reduction in federal contracting dollars awarded to American small businesses, including minority-owned small businesses. In February, Ranking Member Markey, alongside Senators Hirono and Cory Booker (D-NJ), and Representative Ayanna Pressley (MA-7), introduced the Strengthening Place-based Access, Resources, and Knowledge (SPARK) Act to spur entrepreneurship and increase access to capital and resources for underserved entrepreneurs nationwide. Ranking Member Markey previously held a field hearing in Roxbury, Massachusetts, to discuss how government and the private sector can come together to make entrepreneurship more accessible for underserved communities. Earlier in February, Ranking Member Markey secured funding with the Appropriations Committee for Small Business Development Centers, Women’s Business Centers, SCORE Chapters, and Veterans Business Outreach Centers and provisions to rein in the Administration’s attempts to eliminate programs that support women, veterans, and underserved entrepreneurs. In January, Ranking Member Markey sent a letter to the Consumer Financial Protection Bureau to oppose rule changes that would gut protections against discriminatory lending practices that harm small businesses. In December 2025, Ranking Member Markey sent a letter to SBA Administrator Kelly Loeffler expressing significant concerns with the SBA’s overly burdensome request and unclear guidance for extensive financial documentation over the holidays, as a part of their sweeping attempts to dismantle the 8(a) Business Development Program. In July and December 2025, Ranking Member Markey sent letters to the SBA Administrator demanding answers about the Trump administration’s efforts to limit economic opportunity for American entrepreneurs, including immigrants. In May 2025, Ranking Member Markey sent a letter to the SBA Administrator rejecting President Trump’s FY 2026 budget proposal and calling on SBA to immediately release funding for the entrepreneurial development programs, which include programs like the Women’s Business Centers and the Veteran’s Business Development Centers that support underserved small business owners. In April 2025, Ranking Member Markey introduced the New Start Act of 2025 to establish a five-year pilot program providing grants to support entrepreneurial development training for currently or formerly incarcerated individuals. In February 2025, Ranking Member Markey sent letters to the SBA Administrator and Government Accountability Office (GAO) condemning President Trump’s war on diversity, equity, inclusion, and accessibility (DEIA) policies and asking how the SBA intends to implement Trump’s anti-DEIA executive orders. ###
LG TVs and monitors said to surveil users and install bloatware without asking
Anyone who owns an LG smart TV must inform all guests and family members that they are being monitored – this is required by LG’s current terms of use. Meanwhile, LG monitors install potential malware and surveillance software on a connected Windows computer.
How 2 brothers started a junk removal business with less than $10,000
The McKinney brothers said "almost anyone can do it." They describe how they started their junk removal business with about $8,000.
‘Old folks’ and ‘rookies’ in politics
After what we have experienced recently I assure you America will never again hire anyone who would serve as president into their 80s. No blame can go to the founders of our nation who did not feel that it was necessary to put an age limit on the presidency. And then we had the “Joe […]
The ’Gay’ Attacks on Lindsey Graham Are All About Politics
Was Lindsey Graham gay? As the author of a book about the history of gay Washington, D.C., it’s a question I’ve been asked frequently for years, and even more so since his sudden death last weekend. The South Carolina Republican’s lifelong confirmed bachelorhood, vocal intonation, and Southern dandy demeanor (if not sartorial choices) prompted many to conclude that he was, as they say in that part of the country, “light in his loafers.” Graham’s repeated attestations to the contrary had zero effect on those invested in the narrative that he was. Only about the matter of J. Edgar Hoover’s rumored cross-dressing (for which there is much circumstantial but no direct evidence) am I questioned more. Whenever I’ve been asked to speculate upon Graham’s sexuality—and speculate was all that I or anyone else could do—I always answered the question honestly. While my personal sense is that Graham was probably gay, as a journalist and a historian I cannot rely on my intuition to make factual assertions. (Gaydar hasn’t yet been scientifically perfected.) Given the absence of any known female or male romantic interests, Graham may very well have been a heterosexual unlucky in love. He might also have been asexual. Barring the highly unlikely postmortem emergence of a personal diary or some other unassailable evidence attesting to Graham’s innermost yearnings, we will never know the answer. As is depressingly the case these days when a public figure dies, a chorus of voices reveled in Graham’s passing, many of them making light of his presumed homosexuality.
Asking Eric: I’m over neighbors who keep making rude comments about my autism
Eric: You don’t owe anyone an explanation simply for living your life.
New England Patriots Dealt Harsh Linebacker Verdict in NFL Rankings
The New England Patriots spent the past two seasons rebuilding a defense capable of carrying a contender.NFL evaluators still see a weakness right in the middle of it.No Patriots player appeared in ESPN’s ranking of the NFL’s top 10 off-ball linebackers for 2026. New England also failed to place anyone among the honorable mentions or […] The post New England Patriots Dealt Harsh Linebacker Verdict in NFL Rankings appeared first on HEAVY.
New local business aims to bring on-site car maintenance to De Pere
DE PERE, Wis. (WFRV) — A new business is coming to the De Pere area to help anyone seeking car maintenance and repairs, according to a press release. HMS Mobile Auto opened its doors for business on J...
The Quintessential Trump-era Politician
In 2020, I wrote an article about collaboration and collaborators. The title was History Will Judge the Complicit, and it started with the story of two famous East Germans, Markus Wolf and Wolfgang Leonhard, who both landed in East Berlin just after the end of the war. Although they came from very similar backgrounds, the former stuck with the regime, eventually becoming its spy boss; the latter, horrified by the brutal reality of Soviet-style communism, escaped. By way of juxtaposition, I also wrote about Lyndsey Graham and Mitt Romney. These two men also made very different decisions when confronted by Donald Trump’s assault on the ideals that they had both grown up believing: A glance at their biographies would not have led many to predict what happened next. On paper, Graham would have seemed, in 2016, like the man with deeper ties to the military, to the rule of law, and to an old-fashioned idea of American patriotism and American responsibility in the world. Romney, by contrast, with his shifts between the center and the right, with his multiple careers in business and politics, would have seemed less deeply attached to those same old-fashioned patriotic ideals. Most of us register soldiers as loyal patriots, and management consultants as self-interested. We assume people from small towns in South Carolina are more likely to resist political pressure than people who have lived in many places. Intuitively, we think that loyalty to a particular place implies loyalty to a set of values. But in this case the clichés were wrong. It was Graham who made excuses for Trump’s abuse of power. It was Graham—a JAG Corps lawyer—who downplayed the evidence that the president had attempted to manipulate foreign courts and blackmail a foreign leader into launching a phony investigation into a political rival. It was Graham who abandoned his own stated support for bipartisanship and instead pushed for a hyperpartisan Senate Judiciary Committee investigation into former Vice President Joe Biden’s son. It was Graham who played golf with Trump, who made excuses for him on television, who supported the president even as he slowly destroyed the American alliances—with Europeans, with the Kurds—that Graham had defended all his life. By contrast, it was Romney who, in February, became the only Republican senator to break ranks with his colleagues, voting to impeach the president. “Corrupting an election to keep oneself in office,” he said, is “perhaps the most abusive and destructive violation of one’s oath of office that I can imagine.” In the wake of Graham’s unexpected death on Saturday, I wrote about him again. He was, in many ways, the quintessential politician of Trump’s Washington, a man who shifted 180 degrees. Graham had been a fervent American patriot, proud reserve officer and military lawyer; he became one of the most important defenders of a president who believes soldiers are “suckers and losers” and shows no respect for law of any kind. As his politics changed, his language grew coarser and his behavior grew worse: He urged Israel to “level the place” in Gaza, and insulted the Danish prime minister in Munich, prompting a colleague, Senator Elissa Slotkin, to issue an apology. Here’s an excerpt from the article, which you can read in The Atlantic (gift link here) Like his close friend John McCain, Graham believed that America should stand at the center of a broad democratic alliance. The few times I met him were in that context, at the Munich Security Conference or at other European-American gatherings, which he once attended with great regularity. He also took seriously the practice of American democracy at home. In a 2014 conversation with The Atlantic, he described himself as a pragmatic politician who eschewed populist slogans. “I know Washington is broken, but what’s broken about it is everybody yelling and nobody trying to fix it,” he said. “I’m trying.” When Donald Trump first appeared in U.S. politics, Graham recognized him immediately for what he was: the spokesman for an alien ideology, one radically different from the idealistic patriotism that Graham had practiced and preached since childhood. Trump privately mocked the military that Graham loved as nothing but “suckers and losers.” He put falsehoods, cynicism, and personal greed at the center of his politics, while expressing disdain for transparency, accountability, and democracy itself. In 2015, Graham described Trump as a “race-baiting, xenophobic, religious bigot” who should “go to hell.” Also as a “nutjob.” When Trump won, Graham understood, as did so many others, that he would have to make some important choices. For a while, he went silent. In the spring of 2016, I saw him at one of those conferences in Europe. He seemed too depressed to speak. But then, like many other Republicans—and, more important, like many other people who have lived under political occupation or experienced radical regime change—he made the decision to abandon his previous ideals, to bury the patriotism that was once so important to him, and to become, instead, a loud, opportunistic collaborator. As I wrote in 2020, it’s very hard to look in to anyone’s heart and to understand their motivations from the outside. But it does seem that Graham had a deep need to be relevant, to be in the game, to be a player, at any cost. And that, rather than any particular achievement, is what he will be remembered for. Continuing to monitor conflicts of interest, ostentatious emoluments, outright corruption and policy changes that will facilitate outright corruption. (Read my original article, Kleptocracy Inc and check out the SNF Agora Institute chart) June 27 Trump diverted funds from more than 900 projects nationwide—including safety upgrades at national parks—to finance beautification projects around Washington, including $700,000 used to fix a White House walkway. June 28 After a years-long Department of Justice investigation into Abbott Laboratories over its management of a baby formula facility where potentially deadly bacteria turned up enough evidence to criminally charge the firm, top department officials instead opted for a financial penalty—illustrating the department’s move away from strict corporate enforcement under the Trump administration. June 29 Defense Secretary Pete Hegseth stacked the Defense Policy Board—which is charged with providing independent national security recommendations to the Office of the Secretary of Defense—with Trump allies, including tech billionaire Marc Andreessen, who has invested in defense contractors like OpenAI and SpaceX, after purging the panel last year. Trump purchased between $1 million and $5 million worth of stock in Axon—which makes about 90% of US tasers—two weeks before ICE solicited bids for a $220 million taser contract. The White House unveiled limited-edition US passports for America’s 250th birthday, featuring a portrait of Trump overlaid on the Declaration of Independence. June 30 Trump made around $1.2 billion from his various crypto companies last year, including more than $500 million from World Liberty Financial and $600 million from sales of his meme coin. Trump is considering issuing 250 pardons to commemorate America’s 250th birthday. These are expected to be largely doled out through the Office of the Pardon Attorney’s informal network of intermediaries. White-collar defense attorneys say they can typically win pardons for clients for $2 million. Last year, Trump administration officials awarded a no-bid contract worth up to $500 million to Clark Construction for the White House ballroom—negotiations in which the president was directly involved. July 1 The Amazon MGM Studios documentary about Melania Trump earned the First Lady more than $10 million. Trump made hundreds of individual stock purchases worth as much as $12.8 million the day before his announcement pausing “Liberation Day” tariffs for 90 days sent the S&P 500 soaring nearly 10%—one of the largest single-day gains ever. Mar-a-Lago and Trump National Doral saw record surges in revenue during Trump’s first year in office, earning $77.5 million and $121.9 million respectively, compared to average annual revenues of $25 million and $75 million during Trump’s first term. Entities across the Persian Gulf paid more than $300 million to Trump’s businesses last year, including $263 million from the sale of half his stake in World Liberty Financial to a firm backed by Sheikh Tahnoon bin Zayed Al Nahyan, a top UAE royal and brother of the country’s president. Kash Patel failed to properly disclose his stock purchase of a Department of Justice contractor, MicroStrategy, worth up to $250,000 last year, despite laws requiring disclosure within 45 days of the trade. July 2 Trump has been directing administration officials to steer more government contracts—so far worth more than $2.4 billion—to Jeff Bezos’s Blue Origin aerospace firm, after Amazon gave $1 million to Trump’s inaugural fund, donated to the White House ballroom project, and reached a $40 million deal to license a Melania Trump documentary. Alongside the billions he made from cryptocurrency last year, Trump earned millions of dollars from real estate licensing fees, including $21 million from organizations in the UAE and $9.2 million in Saudi Arabia, along with smaller sums from merchandise sales, including $4.7 million from Trump Watches and $35,920 from 45 Guitar, a guitar brand endorsed by the president. House Democrats accused consultants tied to the Trump administration of financial fraud, alleging they gave prospective donors to America250—the bipartisan committee created by Congress to celebrate the nation’s semiquincentennial—the banking and routing numbers for Freedom 250, the White House’s fund for events like the UFC cage fight. Democrats also allege that Freedom 250’s CEO traveled to the World Economic Forum in Davos to solicit donations from foreign government officials and business leaders. The Trump administration’s proposed rollback of gun regulations would lift the prohibition on mailing handguns to individuals, a significant win for GrabAGun—the direct-to-consumer firearm retailer on whose board Donald Trump Jr. sits and in which he holds a 1.1% ownership stake. GrabAGun currently must rely on a middleman to transfer firearms to customers. Trump’s financial disclosure revealed that he made more than 21,000 securities trades during his first year back in office, growing his investment account to at least $858 million across stakes in around 1,600 companies, compared to the 13 total trades Joe Biden made during his entire presidency. July 4 Nearly 1 million people who bought the president’s meme coin—Trump Coin—collectively lost $3.8 billion on the token, while he walked away with $636 million. July 6 Shares of Dell closed up 4.4% after Trump recommended people buy the firm’s computers during a speech announcing the launch of Trump investment accounts for children, boosting the more than $1 million worth of shares the president owns in the company. July 9 Federal Reserve Chair Kevin Warsh named crypto investor and Trump ally Marc Andreessen to a task force aimed at modernizing the Federal Reserve, including rethinking its approach to inflation—a key factor keeping interest rates elevated. Palm Beach International Airport has officially changed its name to Trump International Airport—a move that will require Florida to pay royalties to the president’s family for licensing his name. I was there a few months ago, during a trip to Barcelona. The sculptures were a revelation, I’d never seen so many together before. Each one has its own personality. Enjoy the good weather, if you are lucky enough to have it. History Will Judge the Complicit The Quintessential Politician Autocracy Inc Open Letters, from Anne Applebaum is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Opinion: The Science of Reading Goes to High School
For anyone who cares about student literacy, the past few years have given us reason to cheer. While trends in national test scores, young people’s reading habits, and talk of a “learning recession” a...
At Family Science Night, Wonder Comes Before Answers.
BAR HARBOR—Family Science Night isn’t really about science. It’s about wonder. It’s about watching a five-year-old realize that the tiny creature under a microscope is a real living thing. It’s about a teenager discovering that the scientist explaining genetics or regeneration isn’t much older than they are. It’s about parents seeing curiosity spread across a child’s face the way excitement spreads across a crowd at a Fourth of July parade. For one evening, families realize that the laboratory isn’t some secretive place where knowledge is hidden behind white coats and closed doors. They learn that the lab is a place their neighbors work, their friends’ parents work, and it becomes a place where questions matter more than answers. It’s a place where wonder is the origin for knowledge. At the lab, children learn that it’s okay not to know. Adults remember that they once asked “Why?” about everything. Scientists are reminded why they fell in love with discovery in the first place. There are experiments, games, obstacle courses, and demonstrations, of course. But those are really just invitations—to touch, to explore, to laugh, to make mistakes, and to ask one more question. In a world that often rewards certainty, Family Science Night celebrates curiosity. And perhaps that’s its greatest gift. Long after the microscopes are packed away and the experiments are over, what families take home isn’t just a few new facts about biology. They take home the feeling that discovery belongs to everyone—that science isn’t something happening somewhere else by someone else. It’s simply what happens when people are given permission to wonder. A Family Science Night at the Mount Desert Island Biological Laboratory is one of those rare community events where children and adults can experience science as something they do, not just something they read about. Hands on discovery allows hands-on learning and joy. Real scientists, some local, some scientist-interns (but still scientists) just in college make science real, approachable, and exciting. And there, complex ideas like forever chemical-filtration, DNA and so much more become not complex. Instead, they become fun. Summer fellows are challenged to explain cutting-edge biomedical research in ways a first-grader—and their grandparent—can understand. Past activities have explored gene expression, kidney function, axolotl regeneration, worms, microplastics, and phytoplankton through games and creative demonstrations. Though it’s called family night, you can also see adults going from station to station, exploring, learning together across ages. Family Science Night reflects the laboratory’s broader mission of breaking down barriers between researchers and the public, helping people understand how scientific discoveries relate to everyday life and the health of Maine’s environment. Family Science Night transforms a world-class research laboratory into a giant interactive classroom, where curiosity is encouraged, questions are celebrated, and families discover that science isn’t just something that happens in a lab—it’s an adventure anyone can join. About MDI Biological Laboratory For more than 125 years, MDI Bio Lab has been a center for training and research in comparative biology. In the last two decades its biomedical research has focused on aging, regeneration, and environmental toxins. The Laboratory houses 11 research groups staffed by an international team of world-class scientists and graduate students. It also leads a statewide network of colleges, universities and research institutions that collaborate to provide training, research experiences and financial support to help young Mainers play a bigger role in today’s biomedical revolution. Located on Maine’s rugged coast, the Laboratory’s 100+ acre campus houses research facilities, cottages and dorms that house visiting scientists and students. It is also home to MDI Bioscience, a subsidiary working to design innovative techniques to speed the drug discovery process. LINKS TO LEARN MORE NIH INBRE MDI BIOLOGICAL LABORATORY Photos: Carrie Jones and Shaun Farrar/Bar Harbor Story HELP SUPPORT THE BAR HARBOR STORY When we started The Bar Harbor Story, we didn’t know if anyone would read it. But you showed up. You shared. You sent tips. Now—over 400,000 views every month later—it’s clear: people here care about their community and each other. We’ve kept everything free because news should never be out of reach, but every one of our stories takes time to write, and your support keeps The Bar Harbor Story going. If you value our work, please consider a paid subscription, a founding membership, or a sponsorship. It truly helps us cover one more meeting, tell one more story, shine one more light. Even $5 a month makes a difference. Click here to become a one-time supporter now. Thank you so much for being here. Founding member information can be found here. Have questions about sponsorships? Just send Shaun an email at sfarrar86@gmail.com, he’d love to hear from you. Subscribe Share Bar Harbor Story Share Leave a comment
The First Test of Bar Harbor's New Entertainment Rules.
The Bar Harbor Story is generously sponsored by the Bar Harbor Historical Society. BAR HARBOR—The Finback Alehouse was the first real test of the town’s new special amusement permit process, July 7 while eight other permits sailed through the process last week. The permit allows music in places where liquor is served. The town’s ordinance which was recently tweaked for a new process allows for the regulation of noise and hours of activity. The only discussion at the July Town Council meeting was about the Finback Alehouse on Cottage Street, in the heart of Bar Harbor’s downtown district. The Finback’s distinctive design—a front wall that is like a garage door that can be opened and closed—was a key to that discussion. The restaurant, which often hosts live bands, singers, and karaoke, at night, has had one substantiated noise complaint this season, which is documented on its application. According to Bar Harbor Police Chief David Kerns, most complaints about noise happen after 10 p.m., and if the Finback had two more violations within a year, they’d have to stop having music. One town councilor said that he’d have no problem reissuing the permit if the door was down. The permit passed through the process with no conditions. Vice Chair Earl Brechlin moved the motion with two time changes for two holiday weekend dates. It passed unanimously. The council asked the Finback why they’d chosen an indoor license with a wall that can be opened to the street. Dale Stockburger, representing the Finback, said he’d applied for an indoor permit rather than an outdoor structure or partial structure (which is usually applied to tents or pavilions). The restaurant has traditionally had an indoor license. Stockburger said that whether the door is open or closed is immaterial because he now stands outside with a decibel reader to make sure that the music isn’t too loud. OTHER SPECIAL AMUSEMENT PERMITS New Councilor Deborah Vickers worried that she had potential conflicts of interests on two other renewals due to the location of her employee housing. Vickers co-owns the Black Friar Inn. They have employee housing directly behind the Finback, which is also 300 yards from the Bar Harbor Inn, she explained. The Bar Harbor Inn also had a permit up for renewal. The councilors unanimously voted she did not have a conflict of interest. The councilors approved permits at The Bluenose Inn, 90 Eden St, Class A; Acadia Hotel Downtown, 20 Mount Desert St, Class A and C; the Bar Harbor Inn, 8 Newport Dr, Class A, B, C and D; C-Ray Lobster, 882 State Hwy 3, Class D; Holiday Inn Bar Harbor Regency, 123 Eden Street, Class B; Finback Alehouse, 30 Cottage St, Class B; Project Social, 278 Main St, Class C and D; Bar Harbor Beer Works, 119 Main St, Class B and D; and Mainely Meat BBQ Dreamwood Hill, 369 State Hwy 3, Class D. That process is laid out in the Special Amusement Ordinance of the Bar Harbor Town Code which is Chapter 14 of the town code. Special amusement permits have class codes. These are the meanings: Number - how many musicians are allowed by the permit. Class A - Indoor non-amplified entertainment. Class B - Indoor amplified entertainment or dancing. Class C - Outdoor non-amplified entertainment. Class D - Outdoor amplified entertainment. RESIDENCE LICENSES RENEWED AND A TAXI LICENSE The councilors also renewed the licenses for three specific sorts of residences that require that yearly renewal per the town code. The employee living quarters at Atlantic Oceanside Hotel, 119 Eden St and another at 278 Main Street were renewed. The shared accommodations license renewal at 39 Kebo Street also occurred. These are annual renewals. Bernard Taxi Services’ license was also renewed. This license had been added to the agenda at the meeting. Bar Harbor Update on Leaf and Grass Clipping Disposal BAR HARBOR — Bar Harbor residents will still have a place to throw away their leaf and grass clippings this summer. The town’s agreement with EMR in Southwest Harbor for disposing of those items will continue through November 30. The agreement, according to a town press release, will continue “while the Town continues evaluating long term composting solutions and the required state permitting process.” As of July 1, residents bringing their grass and leaves across the island to the facility in Southwest Harbor will have to fill out a property registration card. Each property can throw out up to 85 pounds of the grass and leaves. “Any disposal exceeding the 85 pound allowance during this period will be the responsibility of the property owner at the applicable disposal rate,” the press release explains. LINKS TO LEARN MORE Watch the meeting Meeting agenda QUICK NOTE: We’d released the Bar Harbor Leaf information as a brief, but wanted to make sure that people saw it, so we’ve included it here, too. HELP SUPPORT THE BAR HARBOR STORY When we started The Bar Harbor Story, we didn’t know if anyone would read it. But you showed up. You shared. You sent tips. Now—over 400,000 views every month later—it’s clear: people here care about their community and each other. We’ve kept everything free because news should never be out of reach, but every one of our stories takes time to write, and your support keeps The Bar Harbor Story going. If you value our work, please consider a paid subscription, a founding membership, or a sponsorship. It truly helps us cover one more meeting, tell one more story, shine one more light. Even $5 a month makes a difference. Click here to become a one-time supporter now. Thank you so much for being here. Founding member information can be found here. Have questions about sponsorships? Just send Shaun an email at sfarrar86@gmail.com, he’d love to hear from you. Subscribe Share Bar Harbor Story Share Leave a comment
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Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
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New OMB rule could break science in the United States
The drug that saved your mother. The treatment your doctor recommended. The clinical trial that bought someone you love more time. None of it was inevitable. It required a system built to operate outside politics and sustained over decades, because science doesn’t operate on the timeline of a politician. That system is now under direct threat. The Office of Management and Budget (OMB) has proposed a new rule to regulate all federal grants, not just science, but housing, education, defense, NASA and everything in between, that would fundamentally change how research is conducted in the United States. There have been a lot of fires in the past 16 months, and if everything is an emergency, nothing is an emergency. But this is a very big deal. These rules would strip away the independence that has kept science from becoming a political tool. The good news is there’s still something we can all do. How the grant system was designed to work When I was a new faculty member, I was full of millions of ideas, so I sat down and wrote an NIH proposal. I worked on it for months and thought it was so good. Then I sent it to my mentor. It came back covered in comments. Places where my reasoning wasn’t as airtight as I’d thought, methods that could be stronger, gaps in my thinking that I had been too close to the work to see. It stung, as honest feedback always does, but peer review almost always makes the work better. In fact, it’s the backbone of how American science has functioned for generations. At NIH, submitted proposals go to a panel of scientists who have experience in the field. These are the people who can read research methods and spot their weaknesses, who understand when an experiment is designed well and when it isn’t. Applications are scored rigorously, and often only the top 3-20% of proposals receive funding. The people making funding decisions are required to justify them based on these reviews. To be clear: this is not a perfect system, and good science still goes unfunded more often than any of us would like due to limited resources. There is also criticism that peer review may undervalue bold ideas that are risky but could have high payoffs. But the peer review system is nonetheless a meaningful part of the grant selection process. While thoughtful and careful changes could improve the system, the changes being proposed by OMB will not make things better. The rule that could change everything Through this OMB proposal, the system that helps decide what gets funded is being dismantled. There are many troubling elements buried in this proposal, but three provisions stand out in particular. Each would be damaging alone. Together, they would change what kind of science gets done in America, and who it serves. 1. Political appointees would decide which science gets funded, and peer review would be explicitly sidelined or ignored. The guidelines your doctor follows, the standards that determine what’s in your air and water, the drugs that get approved for your family: all of it starts with a funding decision. Right now, that decision is made by scientists who can evaluate whether the work is actually sound and whether it could move the needle forward. Under this proposal, funding decisions could be made by political appointees. The careful, expertise-driven review process that shapes grant funding would be effectively sidelined. That means that a poorly designed study could get funded simply because someone in a political office liked the sound of it, while rigorous, important work doesn’t get funded because it no longer aligns with the administration’s priorities. In other words, critical work that benefits all of us could now be missed just because it has become politically inconvenient. 2. Grants could be canceled at any point, without warning, in the middle of ongoing work. Say your tax dollars have been paying for a cancer study for two years. The grant was awarded for five years, so the team is mid-experiment. There are three additional years’ worth of answers that could change how the disease is treated for hundreds of thousands of people. With this new rule, the federal government could cancel the remaining funding tomorrow, walk away from the commitment it made with your money, and have no legal obligation to finish what it started. This is a huge waste of money. There are rarely other sources of funding for this work, which means the team, the graduate students, postdocs, and research staff who have dedicated years of their careers to this project could lose their jobs. Patients who have contributed their time to studies may not see it turn into useful learnings for others. Every hour of work already completed could result in nothing useful. Science can take decades to get to tangible outcomes. It needs a stable funding system to flourish. 3. Researchers would have a harder time communicating their findings without pre-approval from the federal government. There is a saying from Sir Mark Walport: “Science isn’t finished until it’s communicated.” Science is no use to anyone if it is kept locked away in the labs that produced the data. The proposed rule could make communicating research findings harder in a number of ways: Make it harder for scientists to widely share their findings in scientific journals. Publication costs, including journal fees that allow for broad public access, could not be paid for by federal funds which is often how scientists pay these costs. Restrict researchers from engaging publicly about how their findings should inform policy or public health guidelines. This would restrict scientists from doing the work that transforms years of lab work into decisions that actually affect people’s lives. Make it harder for scientists to attend conferences. Conferences would now need to be approved by the federal agency at the time of grant award. This disadvantages conferences or publications that are not politically aligned. Conferences are a key way in which scientists learn about work happening in their field so they can collaborate and build on each other’s findings. What good is science with a muzzle? The long-term impact These changes could (and hopefully would) be reversed under the next administration. But by then, damage has been done. Once projects are halted or denied funding by political appointees, people leave their science careers for other paths or even leave the country to do their amazing science elsewhere. You cannot pause a scientific study the way you pause a subscription you decided isn’t useful anymore. You cannot freeze a research team that depends on salaries to feed their families, causing a scramble for replacement funding that, in most cases, simply does not exist. When the money stops, everything stops, and all the work in progress and its potential are lost. Despite all of the language about reducing waste, fraud, and abuse, this new proposed rule increases the administrative burden tremendously. Every researcher watching this unfold will make a rational decision: don’t start anything that will take a decade to finish. This includes not building a team around funding that could vanish, or asking the big questions that need patience and stability to answer. The most consequential science, the kind that produces the treatments and the breakthroughs that reach your doctor’s office twenty years from now, is exactly the science that would be abandoned first. This is still a proposal, so we can all do something Some worry this rule is already a done deal. But by law, OMB is required to open a public comment period. Those comments matter because they inform members of Congress, they can be used in litigation, and they create a public record. So here’s what you can do: Submit a public comment. The public comment period on this proposed change is open until July 13. Anyone can submit a comment, and OMB is required to respond to substantial ones. Each comment must be different to count as distinct; identical comments will be counted only once. Comment as an individual, not on behalf of your organization. Here’s a full resource to help you, with useful examples, but in general: Share a story about how science or federal funding has benefitted you or is involved in your work. Are you or someone you loved a cancer survivor? Do you know someone with Alzheimer’s? Have you received NIH/NSF or other federal funding? All of these can be stories you use to highlight why you care. Explain why you’re worried about these proposed changes. You can use the wording found here or in other resources to help you. Ask them to withdraw this proposed rule. Contact your elected representatives. Congress allocates money to federal agencies to spend, and it has oversight of how that process works. You can let your representatives know this proposed change concerns you and ask them to intervene. There are levers they can push that can help at this moment. Let others know why federal funding matters. This isn’t just about science, but ALL federal grants, including for education systems, defense projects, and more. The process, including the importance of federal funding, is invisible to many. We can all make it more visible by sharing how science benefits us and why we value it. You can also share this article, or any of the resources linked here, to help spread awareness! Bottom line We are quickly losing ground in scientific research in the U.S. More changes, like the proposed rule by OMB, would decimate our ability to conduct research here, leaving us all worse off: fewer treatments for pancreatic cancer, less research on pollution impacts, fewer answers for patients with rare disease, and more unaddressed health needs. The impact will be very real for all of us, regardless of where we stand politically. Using our voices for science is more important than ever. Love, LM Big thanks to Dr. Megan Ranney for reading this over and providing brilliant insights, as always. Dr. Liz Marnik, PhD, is Executive Director of The Evidence Collective at YLE and a science communicator and immunologist working at the intersection of public trust, science, and public health. You can find her on Substack, LinkedIn, Instagram and Threads. Your Local Epidemiologist (YLE) comprises a team of experts, ranging from physicians to immunologists to epidemiologists to nutritionists, working together with one goal: to “Translate” ever-evolving public health science so that people are well-equipped to make evidence-based decisions. The YLE suite of newsletters reaches over 475,000 people across more than 132 countries. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Subscribe
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From Classroom to Racetrack: How Charlie Baur is Building a Motorsports Career in a Business Discipline
Charlie Baur can trace his racing story back to a Christmas morning in Michigan — the kind that starts with snow on the ground and ends with a throttle in a kid’s hands. “I remember being 3 years old and then for Christmas that year, my parents had gotten me a 120 cc snowmobile,” Baur said. Long before sprint cars, he was a Michigan kid on snowmobiles, dirt bikes, four-wheelers and jet skis — and a regular at car shows and races with his family. Photo courtesy of Charlie Baur That early exposure became a calling. At 12, he sat in a sprint car for the first time and knew he’d found the next chapter. He started in quarter midgets, moved to go-karts, and the day before he turned 16 — one day shy of the minimum age required by track insurance — he made his first sprint car start after convincing officials to let him race. Five years later, Baur is still pushing forward, now racing sprint cars on both pavement and dirt while pursuing an automotive business education at Northwood University — with a clear-eyed understanding that motorsports encompasses more than what happens under the lights on Saturday night. “It’s a business,” said Charlie, a 20-year-old who calls Fenton, Michigan, home when he’s not at a racetrack or at Northwood’s residential campus in Midland, Michigan. Photo courtesy of Charlie Baur Racing is the product — but preparation is the job To the average fan, race day begins around dinner time. For a team, race day can be a 12-hour shift — plus the work that came before it. And Baur’s racing operation is a family affair. “The team is my parents and myself,” he said, explaining they own the cars, maintain equipment and manage the business side — from sponsor relations to budgeting. On race weekends, the core group includes Baur and his parents (Eric and Stefanie), plus a couple of additional hands (Alex Photiou and Robert Flannigan) who help with the intensity and pace of trackside work. That structure has shaped how he thinks about efficiency and professionalism. “We’ve always kind of had the mentality of we’re never working on the car for maintenance at the track,” he said. “Our goal is to do as little work as possible to the car because it should be ready when that car rolls out of the trailer to go racing.” That mindset shows up in routines: bolt checks, tire procedures, safety equipment and a repeatable process designed to limit errors. “Once I fire the car up and put my helmet on, that’s when it’s go time,” he said. “You can plan as much as possible for how the race is going to play out, but until you take the green flag … you don’t know how it’s going to go.” Photo courtesy of Charlie Baur First-generation driver, student of the game In racing, “first-generation” matters — and Baur wears that label with pride. “A lot of the drivers are third or fourth generation,” he said. “My family has never been in motorsports. So for me, we’ve always looked at it as we’re new to it and we want to be as different as possible. From a marketing standpoint, it helps us stand out.” It also pushes him to seek out mentors — especially veteran drivers who have seen every scenario, solved every problem and won in multiple eras. Baur credits accomplished driver Jason Blonde, a 10-time champion, for becoming his driver coach and helping him develop as a competitor. “To me, learning from Jason helps me because he has had lots of success and knows what to do,” Baur said. “You have to humble yourself and say, ‘I don’t know what to do; can you help me out?’” That willingness to learn extends off the track, too. Baur says one of his biggest challenges is not a mechanical limitation, but credibility. “It’s my age,” he said. “Some people won’t take me seriously because I’m so young. Even though … I do know what we’re talking about and have a general idea.” His answer has been to out-prepare, out-communicate and treat the operation like a real enterprise — because it is. Photo courtesy of Charlie Baur Northwood’s role: Turning passion into a plan Baur is majoring in automotive aftermarket management and pursuing an accelerated path that pairs undergraduate study with graduate work. He’s also exploring how to align his studies with motorsports-focused coursework as Northwood advances related programs and pathways. He sees the value clearly: motorsports needs business-literate professionals who understand budgets, sponsorship, marketing, operations and long-term strategy — and who can translate between the language of the shop and the language of the boardroom. That’s why his Northwood experience isn’t limited to the classroom. He has been involved with the Northwood University International Auto Show and serves as motorsports chair — a leadership role that demands outreach, contracts, coordination and a steady professional demeanor. “There’s so much outside work that makes the auto show successful that people don’t realize,” he said. “And it is truly student led.” He’s also participated in industry experiences through Northwood at major events such as AAPEX, SEMA and PRI, along with other automotive networking events — opportunities he describes as a fast track to understanding how business really gets done. “You learn a lot in the classroom,” he said. “But if you learn it and you can’t apply it to the real world, it loses its value. Or if you learn it and can apply it, but you don’t know anyone, it is still of no value.” In his words, Northwood helps him win because it “gives me the tools to succeed” — including flexibility and faculty support as he balances travel and racing commitments with academics. Photo courtesy of Charlie Baur Racing as an ecosystem — and a talent gap waiting to be filled Baur is blunt about what he sees across the motorsports world: a deep bench of experienced professionals, and not enough young talent entering the pipeline. “I go to car shows, I go to these different events, and typically … the average age is between 45 to 55,” he said. “There’s not a lot of young people going into the motorsports world.” That reality reinforces Northwood’s communications focus: positioning motorsports not as a narrow lane, but as a wide ecosystem of business careers — sponsorship, logistics, data, media, leadership, hospitality and innovation — with real demand for prepared graduates. It also shapes how Baur talks to younger students who love racing but aren’t sure what their future looks like. “If you have a passion for motorsports, there’s gonna be a spot for you somewhere,” he said, emphasizing that driving is only one of many career paths — and that local tracks and hands-on experience are often the best first step. But if someone is interested in driving as a career path, it will take a team to make that happen. Baur’s team includes Stahl’s Motors and Music Experience, Rhino Racing, Randy Wise Buick GMC Chevrolet, Western Michigan Fleet Parts, Mother’s Polish, Schaeffer’s Oil, Hepfner Racing Products, Ameriguard Storage Centers, Justice Brothers, Race 1 Wraps, TBM Brakes, Behind Your Design, CharlieBaur.com and Northwood University. “There are so many people who invest not only in myself but in my race team and who believe in us to succeed,” he added. Pictured: Charlie Bauer’s sprint race car. Looking ahead: A headline worth chasing Ask Baur to imagine 2035, and he’ll give you two answers — one dream, one blueprint. “In a perfect world,” he said, “winning the Indy 500.” Realistically, he wants to build a life where business ownership and racing reinforce each other and where he can pay forward the help he has received by mentoring younger drivers, especially those trying to break into motorsports without a family legacy. “When I retire from full-time racing, I want to be able to provide the same opportunities that were presented to myself to the next generation of drivers,” Baur said. “I know how difficult it is to get your foot in the door.” For now, the focus is simple: keep building the operation, keep learning the business, and keep showing up prepared — because in sprint car racing, as in life, process matters. And once the helmet goes on? “It’s go time,” Baur said. Photo courtesy of Charlie Baur Learn more Students interested in motorsports careers — whether in competition, team operations, marketing, finance, sponsorship, data, or management — can explore opportunities through Northwood University’s Center for Automotive and Mobility Studies. For Charlie Baur’s latest motorsports adventures, follow Charlie_Baur and Charlie Baur Racing on social media. To learn more about Northwood’s Bachelor of Business Administration in Automotive and Mobility Studies and motorsports management concentration, visit www.northwood.edu/programs/automotive-mobility-studies/. Photo courtesy of Charlie Baur Pictured: Charlie Baur at Butler Motor Speedway on May 31, 2026. Share this page
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