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Can it run Doom: SQL database edition
300 lines of SQL querying renders accurate bitmapped views of Hell at 35 FPS.
OpenAI agent hacks Australian healthcare database
The AI company informed Australian authorities of the incident on Sept. 10.
Supreme Court lets Trump administration use revamped federal voter eligibility database for now
The emergency order allows states, for now, to use the Department of Homeland Security program, called Systematic Alien Verification for Entitlements, or SAVE,
Whistle-Blower: Federal Agents May Have Broken State Laws in Search For Voter Fraud
Agents expressed concern about being directed by top Homeland Security leaders to use private information to look up voter records in state databases.
Here’s How Trump Is Building a National Citizenship Database to Check Voters
The Supreme Court allowed the Trump administration to deploy a system that merges personal data from across the government. Questions remain about its reliability.
OpenAI claims its artificial intelligence gained access to the Internet on its own and breached a ‘partner’
The technology company claims the incident stemmed from a cybersecurity test gone wrong, where its application escaped a closed environment and broke into an external database to complete its task of being an elite hacker
Anthropic’s Claude Science bets on workflow, not a new model, to win over scientists
Anthropic's Claude Science is a workbench that gives scientists one environment to do computational research, saving them from the need to bounce between databases, pipelines, and tools.
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.
FSU researcher creates seawater isotope database to improve climate reconstructions, projections
A Florida State University paleoclimatologist led the creation of a global database hosting thousands of seawater isotope measurements collected over
Seneca gaming compact fight spills into New York governor’s race
New York election officials can now choose to use an expanded federal database to verify the citizenship of people on voter rolls.
AtScale Finds Semantic Layer Boosts AI Accuracy on Enterprise Data by Up to 2.4x
A more powerful AI model isn’t necessarily the answer to unreliable business analytics. New research from AtScale found that leading AI models answered fewer than 40% of business questions correctly when querying databases directly. But when AtScale added its semantic layer, accuracy improved by 1.7x to 2.4x across all seven models tested. In one test, […]
Supreme Court lets Trump administration use federal voter eligibility database
The emergency order allows states, for now, to use the Department of Homeland Security program, called Systematic Alien Verification for Entitlements.
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
Expired food, soiled ice bin among issues cited at St. Clair County restaurants
The BND has added 173 health code violations to its Metro-East Restaurant Inspection Database.
Kentucky lawmaker renews push for domestic violence offender registry
People convicted of a qualifying offense would appear in a public database after a second conviction.
Trump Administration Asks Supreme Court to Allow Voter-Screening Tool
Voting rights organizations had challenged a Trump administration overhaul of a government database, arguing it could be used to disenfranchise eligible voters.
M6 Chip Benchmark Surfaces Ahead of New Mac Mini Launch Next Week
The first unverified benchmark result for Apple's new M6 chip surfaced in the Geekbench 7 database today, offering a look at the chip's performance gains. The new Mac mini will be Apple's first device to be equipped with the M6 chip, which is 2nm.
Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs
Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share
Digital Science Connects AI Agents to World-Leading Research Data with New Dimensions MCP Servers
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Pfizer makes ‘business decision’ to end phase 2 trial of autoimmune drug as program’s future uncertain
Pfizer has called time on a phase 2 trial of its CXCR5 antibody in an autoimmune blood disorder, with the company tight-lipped on whether this marks the end of the road for the asset. The Big Pharma had been evaluating the therapy, dubbed PF-06835375, in a phase 2 study of 61 patients with primary immune thrombocytopenia (ITP) that kicked off in 2022, according to the federal trials register. However, Pfizer confirmed to Fierce on Monday that this study had been terminated “due to a business decision.” “The decision to terminate the trial was not based on any safety concerns,” a spokesperson pointed out. At time of publication, PF-06835375 remained listed on Pfizer’s website for both ITP and lupus. A phase 1 study in lupus wrapped up in 2022, according to the trials database. ITP is an autoimmune disorder characterized by a low platelet count. Novartis was at one point evaluating its B-cell-depleting antibody ianalumab—recently approved as Fabhalta to treat immunoglobulin A nephropathy—as a potential treatment ITP. But the therapy struggled to demonstrate a benefit in the clinic for this indication. When contacted by Fierce, Pfizer wouldn’t confirm whether all work on PF-06835375 has been halted, and whether the company has any other plans to explore C-X-C chemokine receptor type 5 (CXCR5) as a mechanism. CXCR5 is found in blood cancers such as diffuse large B-cell lymphoma and mantle cell lymphoma chemokine receptor. However, there is little expression in normal tissue, which has led some drug developers to explore its potential. Vincerx Pharma had at one point been planning to take an anti-CXCR5 ADC into the clinic to treat B-cell malignancies, but that ambition was scrapped due to cash constraints. Where Big Pharma is placing its bets is one of the hot topics being discussed at Fierce Biotech's high-impact event in London next month. Find out more information and register by clicking on the banner below: [ ](https://qtxasset.com/quartz/qcloud5/media/image/where_big_pharma_is_placing_its_bets.png?VersionId=B8JrRbJ.pFUSK1pJgjeWHLGm_18RdLAy)
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Streaming’s Biggest Show Returns…and a Buzzy Genre Struggles
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Obviously, the big news of the week (if not month) is Netflix letting go of executive Bela Bajaria, their chief content officer. I’m going to cover this in my next “Most Important Story of the Week”, but I also have a data angle that I might publish before then. (Too much news this month, am I right?) But first, I have a bonus Streaming Ratings Report issue for you. Today’s article is a bit of a grab bag of topics I’ve wanted to write about, but couldn’t squeeze into the (already very long) Streaming Ratings Report issues. The NFL drives huge viewership numbers, so I’ve got a look at that. A whole bunch of TV shows returned to the traditional broadcast channels, and I have thoughts. And I have a quick look at adult animated shows, since a couple flopped earlier this month. Plus, the Emmys aired earlier this month, and we got some fun data bout how popular those nominated shows are and why I’m not optimistic about the show’s future. That’s a lot, so let’s dive right in. Subscribe Sports - Football Remains the King of Streaming Over the last two Streaming Ratings Reports, I sorta ignored the biggest “show” each week. (I was tempted to say “piece of content” but I know that word bugs folks.) In my database, I call these “specials”, and they sure are special. I speak of the king of American TV: football!!! Streaming football is back and, unlike some other sports, it routinely dominates all viewership. Probably the best way to show this is to update one of my favorite graphics, the “40 Million Hour Club”1 since football games have joined that club each week they’ve premiered: (Yep, that’s the data through 28-Sep, the first four weeks of the season. As a reminder, I take the average minute audience provided by Nielsen, factor out a percentage of linear TV viewers in home markets, and multiply the run time by the three-hour runtime.) Again, the numbers are huge. Let’s start with Netflix. They grabbed the rights to the bonus opening week NFL Kickoff game (which was on YouTube last year) and it put up 18.5 million viewers on average. That nets out to 47.4 million hours of estimated streaming hours. That’s good! Though, notably, it’s well below Christmas Day games from previous years. Compared to other streamers/broadcasters, that’s a bit of a mixed result. On one hand, Netflix’s 18.5 million average is about what YouTube claimed last year, though Nielsen used a bespoke methodology at that time, so I trust this viewership figure more. So that’s good. (The game also shifted from a Friday to a Thursday and that could have helped the viewership as well.) And Netflix continues to best Prime Video in total viewership—as you’ll see next—though Netflix has had much higher-profile (opening week and Christmas Day) games. NBC/Peacock’s opening game the night before averaged 25.1 million average viewers, which is just much bigger than Netflix (or Prime Video). That’s the big caveat to all streaming viewership records: even in success, they can’t compete with traditional linear TV. Previously, I called this my “hierarchy of viewership”, and the data keeps supporting that thesis. The downside for NBC is that this game’s viewership was down compared to previous years, though it may be a counting issue. Here’s a great chart from Sports Media Watch: Indeed, looking at all the opening week games across all windows, Netflix still lags the other primetime windows, but does well compared to the afternoon games: I saw a few folks make the case that streamers still lag traditional broadcasters in reach, and I’d add they really lag compared to “broadcast plus streaming” options like NBC/Peacock, ESPN/Disney+ and CBS/Paramount+. The best data I saw for this came from Samba TV, who charted reach through the 2025 season, and, wow. (Samba TV’s numbers are historically lower than Nielsen’s, so don’t compare their household figures to Nielsen’s hours, but use them as a proxy for the relative reach of the streamers.) The good news is Prime Video is NOT having a down year. Their opening Thursday Night Football game reached 18.6 million viewers (about what Netflix got), but that’s a high for Prime Video on Thursdays and the biggest Thursday night game since 2015. The TNF games the weeks of 21-Sep and 28-Sep continued this streak, getting 43.1 (16.8 million average viewers) and 42.5 total hours (16.6 million average viewers), which were both up from last year. Still, that continues the (typical) season slide: (For those new-to-streaming-football-numbers folks, the viewership declines for Thursday Night Football as the year goes along.) Overall, it appears as if Prime Video is now part of the “football habit”, be it for customers at home or out at places like bars and restaurants. And its viewership is slowly catching up to broadcast. One last chart shows this. Last season, Nielsen started adding out-of-home viewership to the charts, so I try not to do season-to-season comparisons as I did for the first few years. And while Nielsen added Big Data viewing this year, I’m going to compare the last two seasons. Here’s that chart, which shows the season-over-season gains: When it comes to streaming football, we have to keep a few seemingly contradictory thoughts in our head… First, streaming doesn’t come close to matching broadcast’s reach and, thus, viewership. Second, even with that gap, football is still the biggest “thing” on streaming. It’s very, very popular. Third, while some methodology changes have likely helped Prime Video’s numbers, their viewership does appear to be growing. Lastly, yeah, the NFL started the season off poorly, with week one dragging down the numbers in year-over-year comparisons. However—and again, methodology changes may have helped this—the viewership grew compared to previous seasons over the next couple of weeks. So football is still king. On streaming and off. Television - Adult Animation Continues to NOT Make the Streaming Charts In the last two reports, two adult-animated shows whiffed: Netflix’s animated comedy, Dang! Paramount+’s Sega-video-game-inspired fantasy/comedy, Golden Axe. Neither made the charts, but that’s usually the case for animated shows. I mean, here’s literally every animated show that’s made the Nielsen Original charts since the start of 2025: And one of those shows is G_abby’s Dollhouse_! A kids show! The problem with charts like this is that they don’t give you a sense of how many shows miss the charts. Netflix had at least eleven animated flops, including comedies like Big Mouth (a show everyone assumed was popular in the pre-Streaming Ratings Era), Long Story Short, Haunted Hotel, Mating Season, Strip Law, and Alley Cats, and action shows like Blood of Zeus, Castlevania: Nocturne, Devil May Cry, Splinter Cell: Deathwatch, and Tomb Raider: The Legend of Lara Croft. Prime Video had at least six animated misses, two in the same universe (Hazbin Hotel, Helluva Boss), three more comedies (#1 Happy Family USA, The Second Best Hospital in the Galaxy and Kevin) and an action show (The Mighty Nein). Disney+ had MCU and Star Wars animated misses (Eyes of Wakanda, Marvel Zombies, Star Wars: Visions, Star Wars: Maul – Shadow Lord, and Star Wars: Tales of the Underworld) but I can’t tell how many of those shows were geared towards adults. HBO Max had Harley Quinn and Hulu had Solar Opposites. None of these shows made the charts! That’s a lot of misses! If I remade the chart with all those misses, here’s how it would look: Listen, I know the counter arguments. First, it’s cheaper to produce animated shows than live action. Fair enough, but with viewership this low, even that cheaper price point starts to not matter. Second, just look at the acquired charts. Hit animated comedies can generate viewership for years! Shows like The Simpsons, South Park, Family Guy, and Bob’s Burgers do really, really well. Fair enough, but streaming has failed to recreate the dynamic that Fox has mastered so well. That’s a problem for streaming still. Television - Emmys! The annual Emmys broadcast was a few weeks ago, and I’ve got data on how the nominees performed on streaming, plus hot takes on this year’s viewership (and the big news about the broadcast’s, er, streamcast’s future). We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… The top Emmy-nominated shows… ...why I’m worried about the future of the Emmys telecast... ...the pros of broadcast television ...and the cons... ...please subscribe! We can only keep doing this great work with your support. Coming Soon! Next week, we’ve got a double issue (since the weeks of 21-Sep and 28-Sep were so light), but then I’ll be all caught up after a deluge of streaming ratings data from Nielsen in September. In the meantime, I’m going to try to take a look at Netflix’s stats to explain why Bela Bajaria is out. But even light weeks give me plenty to talk about. The Great British Baking Show returns to Netflix and Apple TV has a buzzy new star-studded comedy. And Netflix has a controversial-but-appears-to-be-popular new game show. Plus big films like Toy Story 5, Backrooms and The Breadwinner head to streaming. And is East of Eden a hit? After that, The Kardashians return to Hulu, Prime Video has a reboot of Carrie, and Netflix has a horror show, Below. Disclosure Day heads to Peacock, The Housemaid heads to HBO Max_,_ a new Ben Affleck film, Animals, lands on Netflix, and Apple TV has a new John Cena action film based on, checks notes, Hasbro’s Matchbox toys. Okay. Longterm, some interesting TV production news. HBO Max ordered How to Survive Without Me, starring Kaley Cuoco, Joshua Jackson, Ray Romano and Rita Wilson, for fifteen episodes! I love that some streamers (or, at least, HBO Max) are finally ordering TV shows with more than eight episodes. In less wise production news, Landman does not appear to be coming back this year, since it just started production. Frankly, I don’t love this (get your shows out on time) but Landman is so popular, I doubt it matters.
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August Monthly Review: ChatGPT In Epic
Death, taxes, another frontier lab healthcare launch inspiring truly insane LinkedIn takes. As much as I want to stay away, I repeatedly am the crewman unplugging his ears whenever we pass these sirens. So it’s not the first and probably not the last time we dial up the typewriter rather than tie ourselves to the mast. The full blow-by-blow timeline: Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe The End of the Standalone PHR (Jan 8): ChatGPT Health arrives for consumers, at the time powered by b.well. I was bullish on the approach in that the best way for the PHR to finally solve distribution was to meet consumers were they already are (i.e. When Horizontal Meets Healthcare (Jan 9): OpenAI for Healthcare puts out the shingle for enterprises, with SharePoint ingestion standing in for the EHR integration the product actually needed. Another One: Anthropic’s Healthcare Debut (Jan 16): Claude's version, on HealthEx rails instead of b.well, with Agent Skills for FHIR development as the one true vertical-specific investment. ChatGPT for Clinicians: The Trap Sprung (Apr 24): OpenAI filled in the missing GTM middle with a free product for verified clinicians, effectively peeling the enterprise wrapper off ChatGPT for Healthcare and taking the PLG fight directly to OpenEvidence. OpenAI’s Second Attempt at Health (Jul 31): a relaunch of their patient specific app, now branded Health in ChatGPT, where the privacy partition came out, the connectors thinned, and b.well disappeared in favor of first-party FHIR work against a smaller network Beyond a Shingle So what was announced now? Today, we’re introducing a new electronic health record integration that brings authorized patient context from Epic into ChatGPT for Healthcare, along with the Healthcare Public Data plugin for direct, structured access to official healthcare datasets like PubMed, DailyMed, and CMS Coverage. Together, these capabilities bring ChatGPT closer to the systems and sources healthcare teams trust, while supporting the controls and compliance healthcare work requires. The core portfolio is unchanged from prior announcements we delineated and discussed (aside from the relaunch of patient-facing). Since trade publications still seem to be confusing them by using the wrong names: Enterprise sales motion: ChatGPT for Healthcare Protecting their core product / PLG: ChatGPT for Clinicians Consumer/patient-facing product: Health in ChatGPT So really, this is a feature release (specifically for ChatGPT for Healthcare when it comes to EHR integration). What’s cool about it, though, is that we are moving beyond just putting out a shingle. Everything in the January enterprise launch was horizontalizable: Horizontal tech companies thus generally start verticalization with their “putting out a shingle phase”. Telling the world you’re open for business as a horizontal tech company reliably attracts early inbound interest from buyers who are already trying to force-fit horizontal tools into domain-specific workflows and are eager for any signal that the vendor intends to support their use case more directly. Nothing was really vertical specific, which is exactly what you'd expect from the ultimate hypergrowth horizontal company dipping their toes into specific industries. But eventually you have to stop changing the sign on the door and start changing the product. Can you guess where the horizontal product was going to run out of road? This is the core dilemma writ large: verticalization requires differentiation, while scale economics of consumer and horizontal push toward unification. I’ve buried the lede so deep here it will be painful to some readers, but what should be shocking to no one is that my perspective is that EHR integration is the only path that meaningfully resolves this tension for ChatGPT for Healthcare. Integration with Microsoft Sharepoint is fine, but it is categorically insufficient for any product that hopes to influence clinical decision-making. SMART Money Well here we are, eight months later! Real vertical investment has begun, which surprised a few people. One friend in the industry messaged me: “Absolutely no way Epic gave ChatGPT API access.” Looking forensically at the announcements, the integration is notably read-only across appointment notes, laboratory results, medications, and specialist documentation. So while I’m not a betting man, I'd wager the house this is a SMART on FHIR launch: That sounds a lot like USCDI! The recommended path for the workflow they outline would be SMART on FHIR Their Health AI lead’s post is evocative of both standalone and EHR launch SMART, which another termed “ChartGPT” and “EHR Plugin” The implementation burden for SMART on FHIR is the lowest of the available integrative paths This is the team who literally did patient-facing SMART on FHIR with Epic last month Most importantly, if you’re a horizontal company, you generally still haven’t taken the full plunge and thus (overly) value reusability. SMART on FHIR is the logical compromise: healthcare-specific enough to matter, but standardized enough to reuse. Nobody Asked Judy Another friend asked “I thought they had to go to each health system, or did they go direct to Epic and now health systems opt in?” Given the trust paradigms in healthcare, this functionally cannot be Epic hoovering up all the data for OpenAI and shoving ChatGPT in their customers’ faces (or they would revolt). However, I do believe the aforementioned terrible coverage by TechCrunch and other outlets is probably responsible for that question, given the 325 million reference. When using FHIR as a business associate to an Epic customer, there is no EHR gatekeeping to speak of, as that isn’t how fhir.epic.com works: You register an app You pick your APIs You test against the sandbox APIs You list as “Ready for Production” Hospitals pick your app You test and go live with them Bluntly, nobody had to say yes or no in Verona (nor were they given the chance). Vendor Services (their next developer tier up that I doubt OpenAI is using quite yet in this initial release) certainly has contractual paperwork that some resent, but even there, the twin pressures of mounting antitrust and information blocking make outright gatekeeping increasingly fraught. My friend’s sentiment is, to me, representative of a broader industry neurosis, perhaps a sort of scar tissue of prior eras: people assume the gate is still there and never actually try the door. There are certainly other ways Epic (and any EHR) can put its thumb on the scale, but they are not so dumb as to stand in front of a federally mandated API and play bouncer at this exact moment in time. So I think they can and probably should go deeper, as this release is at best parity and at worst behind vertical-specific competition. OpenEvidence did a basic SMART launch with Sutter Health in February, allowing for more convenient evidence search by providers. They then add patient-context (the equivalent SMART on FHIR flow to what we see here) when Cedars-Sinai went enterprise-wide in May. UpToDate has four distinct applications across deeper workflows like patient engagement listed in Epic Showroom and announced a partnership with Epic to power Art at UGM Abridge and other ambient scribes have invested deeply into the deepest bidirectional clinical copilot workflow with integrations well beyond SMART on FHIR. In that light, the “Who is OpenAI primarily targeting here?” is clear. This release brings them into striking distance of OpenEvidence, but not the others quite yet. They are the only one of the three you can reach without building something truly Epic-specific. When will they go further? Competition is a great motivator to overcome the horizontal demons and start building things that can’t be reused: not across industries, not across EHRs, maybe not past the customer you built them for. That’s the price of actually verticalizing. The question is if and when OpenAI will be willing to pay it. Month in Review Here is the monthly review. As a reminder, this is a regular round-up of the month’s posts and other content to surface things you may have missed across regulation, litigation, interoperability, and beyond. AI assistance is used in these bullet summaries so I can focus on articles. Articles Published: None this month Video Content: The Information Exchange: Standards-based Thruple Edition (Aug 14): Back to school for us too, with Brad reporting in from the CMS Health Tech Ecosystem’s one year anniversary in DC. We get into the January CMS-0057 deadline, the fall rulemaking reading list, and why enrollment still keeps most apps off FHIR. The Information Exchange: Epic Dúnadan Edition (Aug 25): A UGM roundup with Ryan Brickner joining for the first time to check our takes against what the building actually thinks. Rangers, Ergo sitting on top of EHI, and a down-market lineup that needs some cuts. Regulatory: Stacked Deck, Bad Hand (Aug 05): ONC’s website refresh took the entire HIT Policy Committee record with it, so I rebuilt the archive and went looking for the regulatory capture story everyone assumes is buried in there. Stacking the deck and winning the hand turn out to be very different things. The Sixth Generation of Patient Access (Aug 19): A quick catalog of the five generations of patient access we’ve layered on since HIPAA, and the two candidates now competing to be the sixth. One is planned. The other is the market routing around the plan entirely. Court cases: Three Cases Walk Into a Docket (Aug 06): Two surprise settlements cleared the board in a single week, and then Judge Maddox dropped ninety-four pages on Vyne v. Henry Schein. The sleeper is a DMCA holding that makes direct-to-database a considerably riskier business model. Epic v. Health Gorilla: Into the MDL (Aug 10): Nine class actions are headed to Miami, and the Panel signaled it wants to bring the case that spawned them along too. That would leave Epic arguing the requests were obviously fraudulent in one courtroom and unknowable in the other. Amazon v. Perplexity: Agents Are Legalized! (Aug 11): The Ninth Circuit vacated the injunction against Comet, holding that the user is the one accessing the servers rather than the company that built the agent. A real win for agentic access, and a much narrower one than the headline suggests. Veeva v. Epic: Come At Me, Bro (Aug 26): Epic’s response brief wants the dismissal affirmed and, unusually, wants the opinion published as precedent. Buried in it is Epic’s own description of what its non-competes actually prohibit, which current and former employees should read closely. EHRs: The Contract Epic Would Never Sign Today (Aug 04): A 1999 SEC exhibit catches Epic licensing nearly its entire product line, Tapestry included, to the company that became TriZetto. The marketing services menu attached to it is the part that will make you blink. Forecast from Verona (Aug 07): The Epic Almanac makes one argument six different ways: the AI is only as good as the networks behind it. Emmie headlines, Art’s context stack is the most ambitious part, and Penny finally gets an autonomous coding date on the calendar. Works With Epic MyChart (Aug 17): Epic’s first new Showroom category since the death of Workshop certifies hardware instead of software, badge on the box and all. Made for iPhone, but for blood pressure cuffs, and rough news for anyone selling the RPM stack sitting in between. UGM Hot Takes 2026 (Aug 20): Everyone else covered the AI announcements, so I went after Savvy deleting the payment gateway, Rangers as Boost with the timer removed, and a down-market lineup with too many entries. Plus the Health Grid tidbits I cannot help myself on. MyChart Central Grows Up (Aug 24): Device data and Emmie turn Epic’s identity hub into a full consumer platform, which is both a logical answer to ChatGPT and a bit of a mistake. It also happens to be the best scraping target Epic has ever shipped. Industry Analysis: The Wrong Yardstick (Aug 12): Vertical software keeps getting judged against Superhuman and Notion, which is the wrong bar entirely. Your user is comparing your product to a whiteboard and forty phone calls before lunch. Primitives vs. Abstractions (Aug 27): Developers want building blocks, systems of record prefer to hand out business logic, and both sides have a real case. There’s no test from the outside that separates the engineering reason from the competitive one, which is why this keeps ending up in court. Cross-industry Comparisons: The Two Kinds of Platform Power (Aug 18): Attention power and record power are different problems that keep getting handed the same regulatory toolkit. Congress’s latest swing at Big Tech shows both what’s possible and where it falls apart. The Dogs of (Platform) War (Aug 21): A CourtListener alert turned up a property management fight with healthcare’s exact shape and none of the Cures Act. Shell prospects, ghost accounts, a notetaker bot that came back to haunt someone, and a lawyer arguing both sides of the same theory in two states. Fractals All the Way Down (Aug 31): Yardi dominates property management right up until you zoom into one segment, where AppFolio owns it outright and Yardi doesn’t appear at all. Where you draw the line around a B2B software market is about to decide an awful lot of cases. Other News: If Judy Had the Courage (Aug 13): A short eulogy for the era when software was allowed to look insane: WinAMP, bold colors, and everything the grey chatbot era has taken from us. External Media: Portland Monthly Health Tech Meetup: Erin O’Brien channeled my own feelings - maybe it’s just because it’s August and beautiful, but the monthly edition of the PDX Health community meetup was a ripper. Make sure to reach out if interested to join for the next one. STAT’s Coverage of Epic This Month: Brittany Trang of STAT did a fantastic job of breaking the FTC investigation that’s been lurking, as well as UGM related coverage, so I had to give her her wish of a meme. Fall Conferences: I’m pumped to be kicking off my fall conference season in NYC at Nabla Accelerate next month, which Chrissy provided the link to apply for. Here’s the rest of my schedule in case you want to meet up: Commonwell (Redwood Shores, CA): Oct 13-14 Open@Epic (Madison, WI): Oct 21-22 eHealthExchange (Austin, TX): Oct 27 Sequoia Project (Austin, TX): Oct 28-29 HLTH (Vegas): Nov 15-18 RSNA (Chicago): Nov 29-Dec 3 Posts I Liked: HTI-6 Should Unbundle API Certification: Josh Mandel makes the case that HTI-6 should split (g)(10) into separate authorization and data certifications, so a PACS or a genomics platform can certify only the role it actually performs. Imaging is the urgent example, but the structure solves a much bigger problem. On implementing ePrior Auth with Epic: Scott Rossignol’s field notes from a live ePrior Auth build on Epic, including the two app registrations nobody warns you about and the CPT mapping problem waiting at the end. CMS-0057 implementations are going to be such a beast. Healthcare point solutions are starting to look a lot like streaming services: Spencer Dorn runs the cable-to-streaming arc against health IT and lands squarely on the bundling half of the cycle. Bundling can be good! It can also be bad! Life is nuanced. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
OpenAI agent hacked into Australia’s national healthcare system
An OpenAI agent hacked into a database of Australia’s national healthcare system, Australian Prime Minister Anthony Albanese told reporters on the sidelines of the UN General Assembly in New York.
AI behaves more like a brain than a database – cognitive science’s role in its origin story helps explain why
Modern AI owes its existence to both cognitive and computer science. What you envision as its origin story can influence how you understand what large language models can do.
AI behaves more like a brain than a database – cognitive science’s role in its origin story helps explain why
This article by Michael Hout, New Mexico State University, and Arryn Robbins, University of Richmond, first appeared in The Conversation, republished with permission.
Baptist Health buys Coral Gables office building for $39M as region’s health care heavyweights compete for space
Baptist Health South Florida picked up a Coral Gables office building for $39 million, the latest booster shot to its regional growth. The health care system bought the property at 2855 Le Jeune Road from City National Bank, in a deal that pencils out to $321 per square foot, according to records and real estate database Vizzda. The bank sold the four-story building after it leased 145,000 square feet for its headquarters at 2701 South Le Jeune Road, also in Coral Gables. The space consolidated staff members working in its former Coral Gables building, as well as in Brickell and […]
Frisco health inspectors find food safety issues in latest round of checks
The database compiled by the Star-Telegram includes data from Aug. 23 through Aug 29 and 52 inspections.
SteamDB acquired by Nexus Mods after 13 years as an independent Steam database
SteamDB has been acquired by the company behind Nexus Mods after its founder said maintaining the service had become a full-time workload. The site will remain free and separate.
Australia says AI agents hacked into health database
Australia says AI agents hacked into health database
September Monthly Review: Health MCP Guy?
For all the time I spend talking about APIs and data exchange, this newsletter has had embarrassingly little interoperability of its own. It’s old-school SaaS, baby - UI or bust. Not all of that is my fault! Substack, for all its popularity, is (as mentioned before) really frustrating as my system of record. The primary user it optimizes towards is the reader, whose attention feeds the app, the Notes feed, and the recommendation network that Substack is actually selling. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe They’re falling into the same trap that Medium once sprinted into, albeit at a much more glacial speed. Younger generations may not remember (or never knew) it, but Medium once lured publications like The Ringer and Signal v. Noise onto its platform, only to lose them as it rebuilt itself around a paywall and an algorithmic feed. Substack’s original pitch circa 2020 was the antidote (you own your list), but every new feed feature chips away at it. I get it: writers are generic supply in the eyes of the Substack product team. Generic supply follows demand, so the consistent pressure on the PMs is to generate demand, which leads to every product cycle going toward discovery (Notes, recommendations, the app, live video). The end result lackluster author tools (laggy and broken analytics are truly crippling) all despite the premium price point. The archive is where it crosses from authorial gripes to actual reader impact, though. Across Substack and LinkedIn, I’ve published 1,218 posts and nearly 900,000 words since 2018. Substack’s native search can see only the 464 posts that live on Substack, and even there it’s woefully inadequate at surfacing relevant content (even for the guy who wrote it)! Readers have the same problem, writ large. Ask the Archive Fixing search (for both my readers and my own use) turned out to be extremely non-trivial, unfortunately: There’s no public API for readers to access content RSS exists for new content notification, but it only carries the 20 most recent posts and cuts paid ones off at the preview The only Substack MCP is an admin tool for analytics The export exists for authors, but it’s painfully awkward and slow. So I built something to work around that: the Health API Guy MCP. It’s a private MCP server holding the full text of everything I’ve written across Substack and LinkedIn. Add it to Claude or ChatGPT as a connector and you can ask things like: It pairs keyword search (for acronyms and case names, of which we have many) with semantic search. Every post is also labeled by topic, form, and court case, so you can pull a lawsuit’s (or multiple cases’) entire docket across Substack and LinkedIn in one query: Hail, Healthapiguyhydra This is also a bit of me eating my own cooking. I’ve spent the year arguing that headless healthcare is arriving and that developers want primitives over abstractions. Last week in Hail, Benihydra, I watched Salesforce plug its platform into Claude and bet that the records underneath outlive whatever interface sits on top: Salesforce must believe that the Hydra’s immortal head is the records, permissions, and business logic (in that they will survive whatever happens to the interface). It felt a bit hypocritical to keep my own archive behind a Substack search bar. The archive is the body. Substack is one head, and now whatever tool you might use is another. Will the EHRs follow my lead? Probably not imminently, but one can hope! Why Founding Members Only The MCP is available to Founding Member subscribers. A few reasons: It costs money and time to run. Hosting, the database, Clerk usage and AI compute for search and labeling are significant operational costs (that increase with usage). Substack gives me no way to automate access. There’s no API to check whether someone is a paid subscriber, so every user is manual operations for now. It’s a beta. We’ll need to improve things and parts will break. I’d rather they break for a small group of dedicated readers who will tell me about it. The Founding tier deserved a real benefit. Until now it was mostly a generous tip. Now it comes with something. If you’re already a Founding Member, reply to this email with the address you’d like provisioned. If you’re not and want in, upgrade here. Larger teams (such as companies) can get access too: group subscriptions at the Founding tier come with the group discount. The admin for the subscription can reply with the list of addresses to provision. Get 20% off a group subscription Pricing Founding membership is now a flat $200 a year, replacing the old suggested $150 that readers could adjust. Existing Founding Members will have access grandfathered in at their previous rate. Month in Review Articles Published Make Networks Dumb Again (Sep 11): AI is making old analog networks cheaper to use and flooding them with machine traffic in the process. A plea for agent-native rails with the intelligence at the endpoints, and for Washington to drag them to ubiquity. Interoperability, Unbuttoned (Sep 29): Interoperability is a series of workflows in a trenchcoat, and this post finally takes the trenchcoat off. A color-coded map shows which provider workflows went digital, which are fragmented, and which still run on fax. Video Content Antitrust’s System of Record Problem (Sep 3): The FTC’s investigation into Epic prompted a ninety-minute webinar, now posted with chapters and a smoothed transcript. We get into why market definition, missing B2B share data, and the SSNIP test leave antitrust poorly suited to systems of record, plus why information blocking may be doing more than any pending lawsuit. The Information Exchange: Cerner Milking Edition (Sep 18): This was so fucking fun. Ryan Tucker, Ryan Brickner, Brad Thorson, and I try an Around the Horn format, complete with points, penalties, and a mute button. We debate whether Oracle Health is dead, who would actually buy Cerner (IBM enters the chat), p(Doom), and why the front desk still hands you a clipboard. Regulatory Ask Not What Your Network Can Do (Sep 23): CDC’s RFI on public health data intermediaries lists use cases already served, unevenly, by eCR, lab reporting, IZ Gateway, and syndromic surveillance. The real opportunity sits in one question about AI: a network that can handle the next emergency without another interface project. Court cases Particle v. Epic: The Naughty Schoolteacher (Sep 4): After a summer-long vigil, the answer on Epic’s early summary judgment bid is two paragraphs and a remedial assignment. Particle advances to the next grade, and market definition gets another year of discovery. The Epic Discovery Files (Sep 8): Texas’s motions to compel arrive with a 251-page appendix of requests, objections, and meet-and-confer letters with Cravath. Inside: Epic using generative AI for document review, denied interoperability requests in scope, and Noerr-Pennington raised against lobbying discovery. Epic v. Health Gorilla: “Working as Designed” (Sep 9): Epic wants nothing to do with the data breach MDL, and explaining why puts fresh discovery on the public docket. The spiciest allegation: Health Gorilla told GuardDog to scrub its law firm business from its website instead of cutting off access. Veeva v. Epic: Legal Bypass Surgery (Sep 15): Veeva asks the Wisconsin Supreme Court to skip the Court of Appeals, while law professors and three policy groups line up as amici. Meanwhile, Epic’s lawyers apologize for another round of citation errors, including a quote that never existed. Texas v. Epic: Behind the Black Bars (Sep 17): The court portal served up Epic’s unredacted filings, revealing a $5 million document review budget and the AI workflow behind it. Also inside: the 200-plus company names Texas wants searched, and one very expensive Zoom invitation. OpenEvidence v. Doximity: Consequences Will Follow (Sep 25): OpenEvidence tells the court it will not comply with a discovery order, and its own lawyers at Quinn Emanuel say they won’t defend the choice. Add years of Slack reported unrecoverable, and Rule 37 sanctions come into view. Health Tech Keeps Choosing Violence (Sep 28): Doximity moves to end OpenEvidence’s case, Epic asks Texas to show its work, and a sleepy Audacious Inquiry patent fight sprouts antitrust and information blocking counterclaims. The main event is a long-sealed Cognizant v. Infosys ruling that hints where system of record antitrust claims can survive. EHRs One Verb for Oracle Health (Sep 14): Oracle’s earnings call quantifies every data center to the decimal point, while Oracle Health gets a single verb: “accelerate.” Panning the few healthcare mentions turns up an agentic care management system, a research-to-care ledger play, and the question of whether healthcare gets Larry’s patience. Epic’s Forretress Under Siege (Sep 30): Judy Faulkner tells a panel Epic paused hundreds of projects to harden its software and calls it a “shame,” while a spokesperson insists the roadmap hasn’t changed. Project Glasswing, a Pokémon-branded QAN sprint, and a trove of Jodel grievances reconcile the two Epics and preview the Jevons paradox coming for all software. Industry Analysis Scanning for a Network (Sep 1): Scan.com raises $220M to build the imaging network labs never got, speedrunning Zocdoc’s consumer-to-B2B pivot. Its wedge to network density may be the most American one available: personal injury litigation. The Front Desk Wants the Damn Whole Building (Sep 16): Hello Patient buys Converse Health, pushing its AI front desk into referrals, chart work, and prior auth. The copilot categories keep blurring, and your distribution partner is still your final boss. Cross-industry Comparisons A Different Patchwork Quilt (Sep 10): Healthcare loves to envy open banking, but the US version has no mandate, a toll booth at Chase, and data quality problems of its own. The grass isn’t greener; it’s another American patchwork quilt, and perhaps a worse one. Hail, Benihydra (Sep 21): Salesforce brings its platform into Claude, Slack, and its own agent, inviting the interfaces that might replace it. Cut off one head and more grow back, so long as the records underneath stay put. Living on A Trade Secret Prayer (Sep 22): Six credit unions are suing Fiserv, the Epic of core banking, by claiming their own member records as trade secrets. Banking has no Cures Act, so its lawyers reach for legal alchemy that healthcare has already tried. Other News None this month External Media Nabla Accelerate NYC: I kicked off fall conference season at Nabla’s Accelerate event in New York, where Delphine Groll opened by asking the room to picture the company it wants to become and the one it doesn’t. I liked her framework of bureaucracy, fear, and ego as the blockers. I also love vendor conferences/events in general - different vibe than industry biggies. Healthcare 101 with Nikhil Krishnan: I briefly guest lectured Out-Of-Pocket’s Healthcare 101 class. Appreciated Nikhil’s takeaways cover whether AI doctors can query HIEs, why healthcare’s data-liberation rules beat most industries’, and the hi-res graphic is in the comments. HCN: Epic Probed by the FTC: I joined the HCN guys to talk through the FTC’s investigation into Epic. Cedric’s new hairdo was an unexpected plot twist. The episode also covers MFN drug pricing, healthcare M&A and Eli Lilly’s acquisition streak. Fall Conferences: At eHealth Exchange’s Annual Meeting in Austin on Oct 27, I’ll moderate a panel on the tensions between AI, HIEs, and timely patient access with Jean Ross (Primary Record), Therasa Bell (Kno2), Byron Crowe (Doctronic), and Michael Marchant (Freenome). Here’s the rest of my schedule if you want to meet up: CommonWell (Redwood Shores, CA): Oct 13-14 Will be participating in a fun Jeopardy event Open@Epic (Madison, WI): Oct 20-23 Will be enjoying Verona, Willy Street, and other local adventures eHealth Exchange and Sequoia Project (Austin, TX): Oct 27-29 Yeehaw HLTH (Vegas): Nov 15-18 Groundhog Day, Venetian Edition RSNA (Chicago): Nov 30-Dec 2 See me at “Governing AI in Breast Imaging: What Health Systems Are Actually Doing” Digital Health Counsel 2026 AI Summit (Seattle): December 2-3 Will likely be speaking to a bunch of lawyers about information blocking Posts I Liked ChatGPT’s Epic integration: game changer or nothing burger?: Joshua Liu, MD offers five thoughts on OpenAI’s Epic launch, starting from the point that it rides the same open APIs available to anyone. He argues read-only access leaves ordering to Art and the ambient startups, and asks why HCA is piloting it alongside Commure. He’s sorta a must-follow at this point - consistently excellent, thought-provoking takes. Epic, Lilly, and the Discovery pass: Seth Chaney reads Epic’s first major Discovery deal (with Eli Lilly), as well as its revised developer terms on commercial displays, as the pipe finally opening between EHRs and pharma. Life sciences and health continue to collide. Scott Rossignol on EHR payer platforms and ePA fees: Scott argues the top ambulatory EHR vendors are turning the prior auth mandate into a per-member-per-year toll on payers, for an API whose operating cost has nothing to do with covered lives. His fix is two lines of regulatory text: put the CRD/DTR/PAS certification criteria in the Base EHR definition, and bring payer-facing ePA connectivity under § 170.404’s cost-based fee rules. It’s a good solution. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Are your medical records updated? Probably so, thanks to Delaware Health Information Network
Truth be told, we all can be a little scatterbrained about our own healthcare. When a doctor asks about medications we once took or lab tests from long ago, we scratch our heads, make our best guesses, and wonder why someone doesn’t come up with a database that instantly keeps our health records up-to-date. As […]
The Federal Agency That’s Supposed to Protect Consumers Just Made Another Business-Friendly Move
Debt collection. Credit reporting. Payday loans. Consumer complaints to a federal database used to help reveal issues and bring accountability. Then the Consumer Financial Protection Bureau stopped publishing the narratives.
Australia steps up response to AI after OpenAI bot breaches health system database
Even before a rogue OpenAI bot breached the database of Australia's health system, the government was escalating its rhetoric about the need to tighten regulation.
NSF backs research collaboration to sequence Antarctic genomes
The National Science Foundation (NSF) has awarded $18.4 million to a group of scientists producing an extensive genetic database of Antarctic lifeforms. More than 250 Antarctic species’ genomes will
Federal maternal, infant health data collection system remains weak, puts health outcomes in jeopardy | Harvard T.H. Chan School of Public Health
Medicaid funding cuts are jeopardizing the health of U.S. mothers and infants—and with a weak federal database to monitor maternal health outcomes, the consequences may be invisible, according to Harvard Chan School experts.
iPhone 18 Pro Battery Capacities Revealed by Regulatory Filings
New Chinese regulatory certification filings appear to confirm the battery capacities of Apple's upcoming iPhone 18 Pro and iPhone 18 Pro Max models. According to new filings in China's C3 database, spotted by the leaker known as "Digital Chat Station" on Weibo, the iPhone 18 Pro is seemingly rated for 4,056mAh in China and 4,288mAh in the U.S., up modestly from the iPhone 17 Pro's 3,988mAh and 4,252mAh.
Sean Combs release delayed after posh prison lifestyle allegations
Sean Combs' release date from FCI Fort Dix was pushed back following allegations of a pampered prison lifestyle. His new release date is set for March 2, 2028, according to the Federal Bureau of Prisons inmate database.
Tracking State Rural Health Transformation Plans
KFF Health News is working to collect and post approved plans, by state, here and this database as more states respond to emails and public records requests for their documents.
Supreme Court allows Trump administration to use expanded database for potential voter purges
Critics have said the data could lead to U.S. citizens being kicked off the voter rolls, but the justices noted the law prohibits broad voter purges in the weeks leading up to an election.
Supreme Court Allows Expansive Federal Database for Voter Screening
Critics of a citizenship database built by the Trump administration have raised alarms about privacy and improper voter purges.
Supreme Court Ruling Could Have Limited Impact on Voter Screening in Midterms
Federal law requires a 90-day “quiet period” before elections, likely restricting the immediate scope of a decision that allows the use of a citizenship database to examine voter rolls.
Lancaster County lawmakers support regulating Flock cameras
Across Lancaster County, video cameras are recording the license plates of passing cars, along with their vehicle make, model and paint color, and storing that information in searchable databases.
AI behaves more like a brain than a database – cognitive science’s role in its origin story helps explain why
Modern AI owes its existence to both cognitive and computer science. What you envision as its origin story can influence how you understand what large language models can do.
Scientists Solve a Decades-Old Stick Insect Mystery
The discoveries could help manage stick insect outbreaks and reduce their impact on forestry and agriculture. Australia’s coastal landscapes are home to large stick insects belonging to the genus Anchiale, a group of closely related species. For decades, scientists and nature enthusiasts have documented them, uploading more than a thousand observations to databases like iNaturalist
Governor Moore Announces Tenfold Expansion of Funding Database in Maryland Community Business Compass
Governor Moore Announces Tenfold Expansion of Funding Database in Maryland Community Business Compass
Samsung accidentally confirms Galaxy Z Flip 8 chip choice
The Galaxy Z Flip 8 landed in the FCC database a few days ago, but a close look reveals that the filing contains key chip details too.
WHO says progress stalling on air pollution, and other health stories
Top stories: Air pollution progress stagnates - WHO; Ebola epidemic impacting livelihoods - UN; World's largest database of human genomes released.
Business in brief: Oct. 5, 2026
Weekly news and notes from the Henrico business community. Better Business Bureau serving Central Virginia, headquartered in Glen Allen, has begun continuously monitoring licenses and regulatory credentials of its accredited businesses through a partnership with Branvio Inc. BBB said the system replaces repeated manual database checks and has freed more
Georgia Tech, University of Vienna researchers top Stanford’s annual ranking of high-impact scientists
The database takes into account factors such as citations and co-authorship.
Pa. health department launches dashboard of reported measles cases in the state
The database will be updated three times per week with details about the county, age and hospitalization status of each case.
DNA database of UK dogs could help police collar criminals
Experts working on database that could identify particular breeds involved in crimes, or rule out canine suspects
UFC Freedom 250 Fails to Knock Out The Ratings
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) If UFC fans wanted one image to say, “Hey, Paramount+ is crushing it with their UFC rights deal,” I could provide that image. Here it is: (Reminder: this is my creation of the Nielsen Top 30, since Nielsen doesn’t combine the lists or include sports. I take all three lists and combine them. Some streaming TV shows probably have higher ratings than many of the films on this list.) Look at that! UFC Freedom 250 is number one! It topped the Nielsen “Top 30” list for shows and films that made the top ten the week of 15-June. So if you’re a UFC fan or supporter of Paramount+, that’s the good news for you this week. This program topped the ratings charts for one week. Everything else is bad news, or at least a huge caveat to that story, which I’ll explain today in the first part of this week’s Streaming Ratings Report—for the weeks of 8-June and 15-June—which is a double issue since I’ve been writing on a bunch of topics recently. UFC Freedom 250 is one of the biggest streaming events of the year, and super relevant to Paramount+’s strategy, so it merited its own article. Let’s dive in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of June 8th to June 21st 2026. You can find a link to my terminology here.) Subscribe Check Out My Interview on UFC 250 at MMA Draw After you read this article, if you want even more thoughts on UFC and Paramount-Skydance/Paramount+, I did a written interview with MMA Draw. They asked me to answer some questions about UFC Freedom 250, and I was happy to chat with them. Find it here: [ The MMA Draw Newsletter Did Paramount really overpay for the UFC? What the data tells us so far If you know the history of American television, you also know that combat sports is often a leading indicator of the future… Read more a day ago · 10 likes · 1 comment · Nate Wilcox and Zach Arnold ](https://www.themmadraw.com/p/did-paramount-really-overpay-for?utm_source=substack&utm_campaign=post_embed&utm_medium=web) I never thought I’d need a combat sports newsletter in my life, but the good folks at MMA Draw publish an excellent one on UFC, MMA, pro wrestling, boxing and more, analyzing both the sports themselves and the politics, economics and antitrust issues that impact them. Check the article and their newsletter out! Paramount+ Has Its Best Sporting Event of All Time…But Was It Worth It? Before we look at the UFC Freedom 250 data in particular, let’s talk about what we can’t say. Namely, let’s start with the lack of comparisons. First off, I’d love to put a chart out comparing this fight to past UFC fights on Paramount+…but we don’t have the data. This is the first time we’ve gotten Nielsen data about a Paramount+ UFC fight. As far as I can tell, Paramount provided data for the first fight, but it was a proprietary datecdote (saying it had “an average minute audience” of 5 million “views”) and then, for two fights, we got the linear viewership numbers when they aired on CBS, but no streaming data. Everything else was crickets. We also can’t compare this fight to other fights/combat sports on streaming, in particular the MMA and boxing, because Netflix also didn’t use Nielsen to track those events, opting for TVision and VideoAmp, respectively. (This isn’t Paramount’s fault, but does still suck.) We also can’t compare to UFC’s fights that used to be on ESPN+, since we don’t have any data for that, plus Disney+ didn’t have marquee fights. The comparisons would not be apples-to-apples. Can we compare to past Pay-Per-View fights? Absolutely not. The comparisons would absolutely NOT be apples-to-apples. That didn’t stop Paramount+, though, who bragged that their UFC events have reached drastically more people than past PPV fights. Duh. Sorry, but I gotta make this point again. A basic tenet of economics is that the cheaper something becomes, the more people consume or buy it. That’s Econ 101. (Sometimes pundits call things “Econ 101” that are actually like Econ 210 or even PhD-level economics, but no, this is really like first or second class basic economics.) Yet I still see one analytics firm consistently say that more people watch films on streaming than PVOD proves streaming which means that the streaming window is more valuable than the PVOD window. No, it’s not! Same thing here. Pay-Per-View events back in the day could be really, really, really expensive! So whole groups of people pitched in to buy them. That increased the perceived value of, say, the Mike Tyson fight. Or a UFC numbered event. So yes, the fact that Paramount+ makes numbered UFC fights essentially “free” if you’re already a Paramount+ member means consumption will go up. Obviously. Same for Netflix and their boxing matches. They’re talking about fights that used to cost consumers, in some cases, $50 in 1996…which is over $100 in today’s dollars. Over 1.6 million people paid that to watch the Tyson-Holyfield fight! Again, streaming is essentially “free”. Or $10 to $20, depending on what streamer we’re talking about and what tier you’re on. No wonder more people are “watching”. (Plus, Nielsen’s out-of-home viewing also helps these numbers.) UFC Freedom 250 Did Well…But I Have A Lot of Worries So what can we compare the fights to? Well, the good news is Nielsen put out that the fight averaged 7.0 million viewers for UFC Freedom 250, which is a solid number for a fight. We also know the length, at roughly 4 and a half hours. (I saw different run times, but this seems to be the consensus considering it started at 8 pm, had a delay and then finished after midnight on the East Coast. If you assume a shorter run time, then yes, the total hours viewed would go down.) That means I have the two numbers needed to add this to my Nielsen database. And then…I can compare this viewership to the NFL: And, uh, not great. But also within striking distance, mainly because the runtime for this event was so long. I’d also add that this event had viewership equal to a regular season NFL game on streaming, but if anything, it was more comparable to an NFL playoff or Super Bowl-esque event. And you can compare viewership to the top football games on broadcast, cable and streaming, and it’s not impressive at all: We can also compare it to other sports that week, including the NBA Finals and start of the World Cup: Again, not great. The NBA generated roughly four times as many average viewers each game for its NBA Finals. The World Cup has similarly big numbers. Also, that’s just a tiny fraction of the 25 most watched sporting events each week. The NBA, NHL and FIFA World Cup had many, many more games racking up hours. We could also compare this to other streaming programs to get an idea of “is this a good investment?” and here is how it ranks compared to other top Paramount+ programs: The worry here? Well, unlike scripted programming, which has rewatchability, older fights/sporting events have very little library value. Very, very few people are rewatching these fights, especially years from now. Paramount has also released datecdotes bragging about their subscriber numbers. Earlier this year, they claimed that the first UFC fight on Paramount+ brought in 1 million subscribers. Then, in their quarterly earnings report, they only ended up with 700K subs. Not great! They claimed they dropped lower-value international subscribers, but that’s why I tend to discount subscriber additions when they’re leaked to the press.1 I expect we may see a bump again for UFC Freedom 250, but I’d caution using subscriber growth so soon after these events to judge the success, since new subs with high churn (see Peacock) aren’t great either. Also, analysts often want to attribute all subscriber growth to their favorite/pet show, and that just doesn’t make sense. The biggest caveat for UFC Freedom 250 and Paramount’s very first UFC marquee event is that these could be high watermarks for the sport. UFC Freedom 250 had an incredible amount of earned media coverage compared to most UFC fights. I mean, it had wall-to-wall national news coverage in the lead up to the event. (The first fight also had a lot of promotion from Paramount since it was first.) Other fights could reach this bar—say the Conor McGregor return to the Octagon—but they’ll be fewer and far between. Was This Deal Worth It? All to ask: is this Paramount deal worth it? In this case, I think the UFC Freedom 250 numbers are more distracting than helpful. This fight did well and compares well to other top sporting events. But we know that the first marquee event was at least a third smaller, if Paramount’s own data is to be believed. And it’s likely the other fights are much, much, much smaller. And then you get to the paycheck that Paramount-Skydance paid. FIFA’s World Cup cost about the same for Fox, but clearly generated multiples more total viewership. (Though it’s only every four years.) The NBA is much more expensive, but until the playoffs, they likely didn’t pay for itself. Even still, Disney, NBCUniversal and Amazon Prime Video likely overpaid. So, in that context, the NBA may be an overpay that makes the UFC look not so bad. But two overpays don’t make an underpay, to paraphrase the old cliché about wrongs and rights. And looking at UFC Freedom 250 as the likely ceiling of MMA on Paramount+, Paramount-Skydance likely paid too much. Share 1 I would love regular reports on subscriber additions by programs, but as is, it’s mostly leaked or rumored in haphazard ways.
Supreme Court lets Trump administration use federal voter eligibility database
The emergency order allows states, for now, to use the Department of Homeland Security program, called Systematic Alien Verification for Entitlements.
iPhone 18 Pro and Pro Max Benchmarks Reveal Speed of A20 Pro Chip
Early benchmark results for the A20 Pro chip in the iPhone 18 Pro and iPhone 18 Pro Max appeared early this morning in the Geekbench 6 database, offering us a first look at the new models' CPU and graphics performance ahead of the devices reaching customers.
PROFILE: Ben Sio
New President of CenterState CEO Brings Nearly Two Decades of Experience to Drive CNY Growth By Stefan Yablonski Ben Sio serves as president of the CenterState Corporation for Economic Opportunity — or CenterState CEO. The independent Syracuse-based nonprofit is committed to creating inclusive, equitable and sustainable economic growth in Central New York. “I started in this position in March, so it has been six months. I’m in my 19th year with CenterState,” he said in August. As president, he is responsible for overseeing the organization’s administration and governance, while leading and executing its vision to be an effective advocate, exceptional employer and a force for positive outcomes for the community. He previously served as chief of staff and senior vice president of strategy, policy and planning, overseeing the organization’s long-term strategic planning, consulting, corporate governance, fundraising and development, land-use planning and government relations. In his years with the organization, Sio has led or supported many high-profile strategic initiatives including the creation of the CNY Rising Plan, the launch of the NUAIR Alliance and the region’s UAS strategy, the creation of the Micron-enabled Community Priorities Document and the recently awarded NY Smart I Corridor Tech Hub. “When we decided to split Rob’s [Simpson] role into two positions, he has the CEO title and I got the president title. Rob remains focused on forward looking vision strategy for the organization and I’m more focused on the day-to-day operations,” he explained. “I’m also responsible for building consensus around strategic needs and priorities and managing the change necessary to drive execution. It’s an eventful job. “The experiment that we call CenterState is always evolving and shifting and addressing where we see market demand and market failure. “If we see something in our economy that isn’t going the way we think it should go, then whether it is housing development or workforce development or something else, we are always figuring out how to step into these situations and address those challenges.” “We are the largest ever in terms of staff that we have ever been. We are no longer the 20-person organization we were when we started out many, many years ago,” he said. “There are more day-to-day things to take care of. But also there is just so much happening in the community right now that is pulling CenterState and our expertise in so many directions. I tell people if we were bored and not busy, then I’d be really concerned about what we are doing. But we are not bored. We’ve certainly got our hands full — and that is a good thing.” CenterState has now approximately 63 employees on its staff, according to recent nonprofit database records. It’s involved in myriad programs, ranging from Genius NY, a business accelerator competition for uncrewed systems, IoT and robotics startups, to CenterState Up Start, a collaborative business development program that connects local, service-based businesses and aspiring entrepreneurs to the tools and networks that help them thrive. CNY Guy Through and Through A Central New York guy through and through, Sio was born and raised in Skaneateles. “My mom was a teacher, an art teacher. My father worked for many, many years with National Grid. He was there through the transition from Niagara Mohawk to National Grid,” he said. “Neither of my parents were touched by cutbacks and job loss. But I grew up going through that transition and being concerned that there were rounds of layoffs. My childhood connection to the economy here in Central New York … years ago it was on the decline. There were people that lived here that were concerned about losing their job. They were thinking they lived in a place that didn’t show much promise.” That narrative translated to his generation, he added. “The kids that grew up in the ‘90s in Central New York were very much told, directly or indirectly, by their parents, that they had to go somewhere else to find economic opportunity. That is what I grew up thinking,” he said. “I only went a few miles down Route 20 for college — in Geneva, New York; I graduated from Hobart and William Smith College with a bachelor’s degree in public policy and political science. “I got real interested in regional economies; because what makes regional economy is what makes the economy successful. And when I graduated, I had an opportunity to move to Washington, DC and work down there at a nonprofit doing this work.” However, he decided to stay in Central New York. “I got hired two weeks after I graduated. I got hired by the Greater Syracuse Chamber of Commerce. At the time it was one of two entities doing economic development in Central New York — [the Greater Syracuse Chamber of Commerce and the Metropolitan Development Association] — and it eventually became CenterState CEO,” he said, referring to 2010 merger between the two organizations. During his time at CenterState, Sio has also split time at the Brookings Institution in Washington, D.C., where he supported communities developing export and foreign direct investment (FDI), a long-term cross-border investment where an individual or company from one country buys a lasting stake or control in a business located in another country. The program — known as Global Cities Initiative — was designed to help leaders in major U.S. and international metropolitan areas reorient their local economies toward global markets. “Early on in my tenure at CenterState, we had done a lot of work with the Brookings Institution, just regional planning stuff. We worked with them on developing a regional export plan, to export more products out of Central New York and a larger business plan for the region. They hired me on to help replicate those plans in different parts of the country,”Sio explained. “So, I worked there for three or four years. I worked for CenterState, but I was technically loaned to Brookings for a period of time to help them do this work elsewhere.” Family ties “My wife is Carly. We have been married 14 years. We have two kids, a 3-year-old and a 7-year-old. “With a 3-year-old and a 7-year-old, fun is a relative term these days. We do a lot of hiking. The kids this summer got very interested in waterfalls. We’ve hit every waterfall we could in a short hike — we’ve done Skaneateles and some others.” “I do woodworking and wood turning — it’s a branch of woodworking; you use a wood lathe. My big thing there is making wood bowls. I do that in most of my free time, which is not much,” he quipped. “I like to get into my woodshop and make a bowl and decompress and turn off the rest of the world for a little bit. I usually do it late at night when the house is quiet. It is definitely my escape from the day to day. I make a lot of bowls; all different sizes, all different species of wood. It’s a fun thing to do for me.” He gives away many of his creations. “They are mostly gifts — I don’t really sell them. I really don’t have time to go set up a booth at a fair or craft show. I usually give them away. I donate them to different things. If you are in my periphery, you’ve likely received a salad bowl from me as a gift. I just need to find something to do with all the stuff that I create,” he said. Lifelines Name: Benjamin Sio Position: President, CenterState CEO Birth Date: Not provided Birth place: Syracuse Residence: Westvale Education: Hobart and William Smith Colleges in the Finger Lakes Affiliations: Member of the boards of Skaneateles Festival, Greccio Foundation, Interfaith Works, CNY Community Foundation Personal/family: Married with two kids Hobbies: Woodworking and woodturning
Multiple amiibo Listings Have Apparently Been Spotted On GameStop's Internal Database
New Zelda amiibo were announced yesterday
egnite's Call for Science Study on M-TEER Device Durability and Long-Term Patient Outcomes to be Featured at TCT 2026
egnite, Inc., a cardiovascular intelligence company that helps clinicians identify and manage patients with untreated heart disease, today announced that Dr. John T. Saxon, Director of the Advanced Cardiac Valve Center at University of Virginia (UVA) Health, has been selected as the winner of its inaugural Call for Science grant program. His study, Long-Term Durability After Successful M-TEER: Insights from a Large, Real-World Imaging Database, will be presented as Featured Clinical Research at
Final Fantasy 7 Revelation Could Be Getting Story DLC
A listing on the Epic Game Store database points to multiple DLCs
Kingdom Hearts 4's Disney Worlds May Have Been Revealed By Massive Steam Leak
The achievement database Exophase has listed achievements for several games, including some that haven't been announced
U.N. Releases New List of Companies It Says Do Business With Israeli Settlements
Israel condemned the database of firms tied to activity in the occupied West Bank as a “political tool” to advance “a smear campaign.”
Six Plano restaurants close over serious health violations, rodents and roaches
This inspection database compiled by the Star-Telegram contains results of 113 inspections from Aug. 16-22.
The Literacy Crisis Reaches Dog-Bear Science
“New analysis of more than 300 bear encounters suggests our canine companions often increase odds of conflict and rarely serve as early warning systems many recreationists assume,” reads a subhead in Mountain Journal. The thing is, that study reaches no such conclusion. But you have to read beyond the abstract to understand that. Mountain Journal is not alone. Let’s look at a brief list of takeaways published elsewhere just to establish that none of them seem to know how to read science. Wes Siler’s Newsletter is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Here’s CBC: “A new peer-reviewed study, The Canine Conundrum: Is a Dog a Help or Hindrance in Bear Country?, dug into conflicts similar to what the video depicts, by analyzing 326 reported human-bear conflicts from 1901 to 2023 involving dogs.” “The study found 54 per cent of conflicts were started by dogs. In the encounters researchers included in the study, five people and 56 dogs were killed, and 170 people were injured.” “Lana Ciarniello, an independent researcher who co-authored the study, said researchers found when a person goes hiking with at least one other person, the odds of a negative bear encounter decrease by 50 per cent.” “However, when a dog is involved, the chances of a negative bear encounter increase because ‘a dog really adds a chaotic factor into the mix of recreation,’ said Ciarniello.” Again, the study finds no data supporting that conclusion. “Hiking with your pet dog may make you feel safer in bear country—but a hiker’s recent encounter and a new study prove that the numbers don’t add up,” writes Backpacker, which is now part of Outside. The numbers don’t add up to support this take. There’s plenty more examples, but all are equally dumb, so I’ll stop there. How did so many people get this so wrong? Three reasons: 1) the study is published behind a paywall, with only the abstract freely available. 2) the methodology sets out to create work relevant to a hyper-specific audience, not the public. And 3) the dataset studied is almost absurdly limited and doesn’t bear (get it?!) comparison to wider information. Let’s work through all three. The Problem is Money I understand the irony, since I’m writing about this on a subscription-model newsletter, but information wants to be free. The study is published by The Wildlife Society and costs $16 to access. Reprinting it is specifically prohibited by the terms of use, so I can only share snippets and my conclusions with you here. Having worked as a journalist for 24 years, I can report with some authority that journalists are both lazy and cheap. I don’t think it’s a stretch to say that much of the material you’re seeing written about this study is drawn from the freely-available abstract (above) only, and not a deep dive into its methodology or data. And that’s a problem, because abstracts are where researchers are able to break from their numbers and editorialize their opinions about conclusions. So what’s getting reported isn’t based on numbers, it’s based on an opinion designed for a specific audience, not the general public. Hell yeah ladies, kick that bear’s ass. The Methodology is Designed to Support a Predetermined Conclusion One of the biggest issues with the science that everyone likes to cite about bear spray’s efficacy is that no one understands that study was designed for a specific audience, looking for a specific answer. And since that audience is not the public, and our safety was not the question being asked, its conclusion is rendered irrelevant to our needs. Yes, I’m talking about Efficacy of Bear Deterrent Spray in Alaska, which was created by Tom Smith and Stephen Herrero, two of the same scientists who put together this dog-bear conflict analysis. In the spray study, the purpose was to present relevant agencies with the information they needed to issue their field workers with bear spray. As such, incidents where people were unable to access the spray or similarly failed to get it deployed in time were excluded from the results, and only incidents they deemed successful were included. Could a ranger roll down their vehicle’s window and scare a bear away from a dumpster by spraying it? Turns out the answer was yes, and that was good enough for the purposes of that study. The sample size of actual bear attacks—the thing you and I would want bear spray to provide a solution to, was too small to draw conclusions from, and didn’t indicate success in that role. Is a Dog a Help or Hindrance in Bear Country? has similar limitations. “Insights provided here are intended to help wildlife managers create effective guidelines regarding the presence of domestic dogs in bear habitat,” is explained clearly by the study’s text. To conduct the study, Smith and Herrero went looking for publicly available reports of dog-bear conflicts: “All incidents included in our analysis involved at least one bear, one dog, and one person who was at immediate risk of injury (e.g., not in a protective structure such as a cabin or vehicle), injured, or killed,” explains the report’s methodology. Why is that a problem? “We recognize that data used in this study are biased in that people generally only report adverse interactions with bears, not benign ones. Consequently, we assume that for the most part, people and their dogs pass through bear country without incident.” As was the problem with the bear spray study, people are drawing conclusions here from a study that was never intended to be relevant to the general public. The Smith-Herrero database famously excludes Alaska’s Defense of Life and Property records, which are elsewhere considered the largest and most authoritative source on human-bear conflict. The Dataset is Absurdly Limited A 2009 study conducted by the Washington Department of Fish & Wildlife estimates that each year there are at least 43,000 documented complaints of human-bear conflict across North America. Is a Dog a Help or Hindrance in Bear Country? Examined those reports for years ranging from 1901 to 2023, and only managed to find 326 such incidents that met the criteria explained above. Let’s do some quick math, poorly. 43,000 incidents x 122 years = 5,246,000 total incidents of documented human-bear conflict. Smith and Herrero were only able to find 326 incidents that met their criteria for dog+human+bear+risk or occurrence of injury. That means there’s a 0.006 percent chance that the study’s conclusion—that dogs make bear encounters more dangerous—even gets a chance of occurring. And remember, that’s only in documented conflicts. There’s no way to know how many people across North America run into a bear in any given year without any conflict, but it’s probably safe to assume that the total number is well in excess of 43,000. And, dig deeper into the study and you can find further restrictions that skew its conclusions even more. “While the people involved in these incidents did not report the level of training their dogs had received, it is our assumption that most were untrained companion dogs as opposed to well-trained bear dogs, such as Karelians and livestock guardian breeds that have proven to be significant aids in bear country,” the study’s methodology explains. And that’s a problem, because an ongoing study here in Montana is finding that the simple presence of a Kangal like our youngest dog Teddy can reduce visits to private property from grizzly bears by 87.8 percent. In addition to being a badass, Teddy is also a companion animal. And in my admittedly limited sample size of the three dogs currently present in our living room, she’s no more effective than her mutt brothers. Plenty of people own a dog capable of deterring bears, even if they didn’t set out to own a bear dog. The real purpose of this study appears to be a recommendation that leashes are mandated and recreationists pursue training in their deterrent of choice. But that doesn’t make for sensational headlines. Are There Any Real Takeaways Here? Let’s throw some numbers around, just to try and get our hands around what the larger picture might look like for bears and dogs here. The American Veterinary Medical Association estimates that 42.6 percent of American households own a dog. The Canadian Animal Health Institute says roughly 35 percent of households in Canuckistan own a dog. In an attempt to create the worst possible result for dogs, let’s run with that 35 percent number. And given that outdoorsy and rural people are more likely to both own a dog, and have bear encounters, let’s just make a giant assumption and apply that number to those 43,000 conflicts documented annually. If 35 percent of 43,000 human-bear encounters involve a dog, then we can assume that at least 15,050 dog-bear conflicts are occurring annually in North America. 15,050 x 122 = 1,836,100. Smith and Herrero were only able to find 326 incidents that met their human, dog, chance or occurrence of injury criteria across 122 years. And only 170 documented human injuries. So, with all the obvious caveats about these numbers in no way describing reality beyond narrow study parameters, what they actually found is that your risk of injury if your dog tangles with a bear is only 0.009 percent. I’ll take those odds next time I’m hiking my dogs in bear country. Top photo: “Superintendent Horace Albright, eating pancakes with bears, at Lake Lodge, Yellowstone National Park.” NPS. A journalist with more than two decades of experience working around the world, Wes Siler is here to cut through the outrage and disinformation to bring you the factual, insightful, actionable reporting you need to understand what’s going on. Upgrading to a paid subscription supports this reporting, and buys personal access to Wes, who will help you save money on gear, plan outdoor adventures, and prepare for real life, and who promises he’s less salty in real life than he sometimes comes across as on the Internet. Wes Siler’s Newsletter is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Viewpoint: Unlocking Europe’s wildfire data
Europe is already investing in the science, technology and infrastructure needed to understand, prevent and fight wildfires. Copernicus provides satellite-based Earth observation and environmental information, while the European Forest Fire Information System provides information on fire danger and forest fires across Europe. Weather and climate systems add forecasts of heat, drought, wind and humidity; historical fire databases show where fires have occurred; and researchers generate increasingly detailed knowledge about fuels, fire behaviour, forecasting, modelling and risk management. Meanwhile, new European research projects are adding digital twins and other tools to this growing ecosystem.However, these data do not necessarily sit together, nor are they necessarily described, structured or governed in ways that allow them to be used together. Much of the information is public, but some is commercially held. Some is sensitive. Some is subject to legal, security or operational restrictions. Even when data can be legally accessed, different systems may use different formats, terminology and rules.Europe therefore faces an unusual paradox: we have vast amounts of relevant information to respond to the wildfire challenge, but not the means to bring it together. For example, a wildfire researcher or emergency service might need to ask whether a particular combination of vegetation, drought, wind and topography has historically been associated with rapid fire spread. The relevant information may exist in several institutions, using different systems and subject to different conditions of access.The challenge is to conduct an authorised analysis that interacts with these sources, combines the results and respects the rules imposed by each data custodian.An important part of the answer can be found in the Fair principles, the idea that data should be findable, accessible, interoperable and reusable. Developed more than a decade ago, these principles have become a central reference point for modern data stewardship, making it easier for people and machines to find data, understand what it means and determine whether it can be reused.Readability by machines is essential, since AI systems will be key to meeting the data challenge. Bring analysis to the dataThe proposition is not to give an AI system unrestricted access to sensitive databases. Quite the opposite. The goal is to make it possible for approved algorithms to go to the data, rather than requiring sensitive data or large datasets to be copied to wherever the analysis happens.Imagine an analysis asking a series of questions of different data stations. At one station it might examine weather and climate data; at another, historical fire records; at another, experimental measurements of fire behaviour. The algorithm does not need to download everything. It can operate within the environment permitted by each data custodian and return only the results that the rules allow to leave.This is sometimes described as data visiting, and related approaches already exist in areas such as federated analysis and federated learning.Sensitive data should therefore not be treated as a free-for-all for machines. This requires appropriate governance at multiple levels. Access needs to be authenticated and authorised. The purpose of an analysis should be defined. The code or model being run should be controlled. Data custodians should be able to specify what can be queried and what results can leave their environment. Activities should be auditable and human oversight should remain where the consequences require it.In other words, the objective is not to trust AI with the data. It is to design systems in which AI never has more access than it needs.As open as possible, as closed as necessaryFair data should also not be confused with open data. Some wildfire data should be openly available. Other information may legitimately need to remain restricted because it concerns critical infrastructure, security, commercial interests, privacy or operational capabilities. The principle should be: as open as possible, as closed as necessary.The important point is that restricted data should not automatically become unusable data. If machines can discover what information exists, understand its meaning, establish where it came from and determine the conditions under which it can be used, authorised analyses can potentially be carried out without the underlying data ever leaving the environment in which it is protected.Restricted data can still be Fair and machine-actionable.This is also an important question of data sovereignty. European institutions should not have to surrender control of their data to a handful of technology platforms in order to benefit from AI. Nor does Europe need to start again by building one giant repository for every piece of wildfire information. The better approach is to connect what already exists.This is the principle behind emerging approaches such as Tryangle, developed through the Leiden Initiative for Fair and Equitable Science. Rather than creating another centralised data warehouse, the approach seeks to provide an interoperable layer through which approved algorithms can visit distributed data sources while respecting the rules of their custodians.In this way, a data station can remain where it is. Its custodians can retain control. Existing databases and applications do not have to be abandoned. What changes is their ability to communicate with other systems through common, machine-readable descriptions, access rules and interoperability mechanisms.But approaches like this need data that meets the Fair principles. Only then can an interoperable ecosystem safely begin to turn fragmented information into collective intelligence.Data infrastructure is wildfire infrastructureThe implications of this approach are entirely practical. Firefighters could gain better intelligence about local and evolving risks. Land managers could test prevention strategies using more comprehensive information about fuels, weather and past fires. Researchers could compare evidence across ecosystems without repeatedly moving huge datasets between institutions. Smaller regions and resource-constrained teams could access analytical capabilities without having to build large data infrastructures themselves.Europe is already investing heavily in satellites, databases, research programmes, forecasting systems and scientific expertise. The question is whether we will connect those investments well enough to turn them into actionable intelligence.That requires policymakers and funders to treat data infrastructure as seriously as physical infrastructure. Data generated or supported through European public funding should be Fair, verifiable and machine actionable by design, wherever legally and ethically possible.Related articlesData Corner: Europe’s burning need for wildfire mitigation researchClimate monitoring must remain a global enterprise, experts sayIn practice, that means funding not only the production of data, but also the infrastructure that makes data usable across systems: metadata, provenance, interoperability, access mechanisms and governance. Where data must remain restricted, we should ensure that it can still be securely discovered, verified and used for authorised analysis.Initiatives such as the European Open Science Cloud offer an existing framework through which these principles can be put into practice. What is needed now is to accelerate implementation and make them a standard part of how Europe funds and builds research and innovation systems.We do not need another generation of disconnected databases. The data is already there. The opportunity is to make it work together, securely, responsibly and quickly enough to help prevent the next fire, rather than simply document the last one.Jean-Claude Burgelman is professor emeritus at the Free University of Brussels (VUB) and editor-in-chief at Frontiers Policy Lab. For more than 20 years he held leading roles in research and innovation policy at the European Commission.
Making the most of scientific research
Only a fraction of research findings make it into the public realm — a huge loss of scientific knowledge that could be used more widely, says a U of A researcher who is leading an effort to create an open data-sharing platform to help further exploration and discoveries in spinal cord injury research.
Could New York use expanded federal voter citizenship database?
New York election officials can now choose to use an expanded federal database to verify the citizenship of people on voter rolls.
"The internet we once loved is gone": SteamDB founders announce the community-run database has been acquired by Nexus Mods' owners
Nexus Mods owners Chosen have acquired SteamDB from its founders, and say the latter will be "keeping its own name, brand, community, and identity" for now.
The best and worst places to build a tech career
A new database reveals the best tech jobs for promotions, pay, and stability.
How safe is your favorite restaurant in the Hudson Valley?
Search our database to see the latest health inspection results and violations for restaurants across New York state.
Anthropic launches Claude Science AI workbench for researchers
Claude Science connects more than 60 databases and tools in one environment, running on existing Claude models with no specialized biology training
Here's How the iPhone 18 Pro Max Will Compare to the iPhone 18 Pro
Apple is expected to unveil the iPhone 18 Pro and iPhone 18 Pro Max in September. The devices will have a lot in common, but the latest leak suggests that the Pro Max model will take an even bigger step forward in regards to battery life. According to new filings in a Chinese regulatory database, it appears that the iPhone 18 Pro Max will be equipped with a 5,567mAh battery in the U.S., while the iPhone 18 Pro will seemingly have a 4,288mAh battery.
Planning Beyond 2030: What SAP Business Suite 7 and SAP NetWeaver Customers Using Third-Party Databases or Java Need to Know
Understand the coming changes and what they mean in practice.
Milo Yiannopoulos in ICE custody, agency records show
Far-right political commentator Milo Yiannopoulos is currently in ICE custody, the agency's database shows.
Holy Cross Health Recognized for Zero Reported Hospital-Onset
The hospital is committed to evidence-based strategies that protect patients by reducing infection risks. August 26, 2026 – Holy Cross Health is one of a select group of U.S. hospitals to be recognized in the Healthcare Associated Infections-Hospital database for reporting zero hospital-onset Methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infections. The database relies on publicly reported […]
Why one of the world's largest health databases matters
The NIH's All of Us program could accelerate medical research — but its future depends on continued funding.
AWS Launches Aurora Capability to Query Data Lakes Without Moving the Data
Moving enterprise data around is one of the less glamorous parts of the running modern data stack. Nevertheless, it is critical to getting the right data to the right applications when they need it. Companies build their data pipelines to shuttle information between databases and data lakes. This creates a plethora of challenges, including the […]
Three restaurants closed, roach infestation found in latest Tarrant health inspections
The inspection database compiled by the Star-Telegram contains data from Aug. 16 through Aug. 29 and 268 inspections.
Data science professor awarded grant to support partnership with Internet Archive, preserve digital history
Alexander Nwala will develop AI models that automatically identify, archive and catalog web resources referenced in U.S. television news in a publicly accessible database.
Open science is compatible with research security, says Canada’s chief science advisor
Open science is “not incompatible” with research security and science leaders and policymakers should “demystify” the false dichotomy between the two, according to Mona Nemer, Canada’s chief science advisor. More than a decade ago, EU policymakers were promoting open science, open innovation and open collaboration across the world. It was a political movement that aimed to make scientific research, data, software, publications and methodologies transparent, accessible and reusable for everyone.But that rhetoric has changed over the past few years. After Russia invaded Ukraine in 2022 and Donald Trump came back to power in 2025, international partnerships have become more pragmatic. Countries are trying to implement protectionist policies and governments are increasingly worried about technology espionage. According to Nemer, science can remain open if the sector can come up with improved security protocols that would protect research data from undue manipulation by foreign actors. “If anybody can fiddle with the with the data, then [open science] is actually quite dangerous and quite useless,” she told Science|Business. Universities and research institutions are increasingly vulnerable to attempted espionage and other types of foreign interference. In September, the UK’s domestic counter-intelligence service MI5 issued a security warning against collaborations with the China General Technology Research Institute. And earlier this year, Germany’s Helmholtz Center for Information Security was criticised by federal research minister Dorothee Bär, who told a parliamentary hearing that “existing rules and systems” at the institute “were not suitable” for preventing leaks to China. According to Nemer, universities and research institutions should perhaps follow the example of the private sector, as companies have been able to safeguard their research while still publishing results. “I think that there is a level of research security hygiene that researchers and institutions need to just adopt,” she said. “You don't have to tell Sanofi or IBM how to safeguard their research, which they end up publishing anyway.”While certain areas of research will not be open for collaboration with certain partners, in other areas cooperation is necessary even with researchers based in adversarial countries. “I stress this because politics change,” she said. “Science and politics don't make for good fellows, and whether we like it or not, politics will influence certain things.”Researchers will play an important role in “protecting the integrity of science,” said Nemer. “I think that it's time that there's a commitment to a certain scientific compact, so that citizens don't think that science is actually an open door for espionage and for anti-nationalism.”New partnershipsNemer spoke with Science|Business on the margins of the Hamburg Science Summit on September 17, the day when Canadian Prime Minister Mark Carney called for increased cooperation with the EU, including in science and technology. Canada is looking to strengthen ties with partners in other corners of the world, after the Trump administration threatened to put tariffs on Canadian goods and services and even openly suggested Canada could become the 51st state. In parallel, the US government has indicated it wants to retreat from international science projects, including US collaboration with Europe’s CERN particle accelerator and other big science labs.Related articlesThe stats we need to better understand R&DCanada looks to deepen research and education links with the EUCan researchers trust that AI models won’t leak their ideas?Nemer said the US is still a science “powerhouse,” but Canada and Europe will have to work closely together on global challenges. “It’s important for both [sides], but I think it's also important for the rest of the world, because the cut in funding for development, in health, in regions like Africa and other places, have dramatic effects.” The Trump administration is also planning a review of the Nelson memo, a Biden-era document that mandated that results of federally funded research would be openly available. With that idea being called into question, Nemer said it could be “very disruptive” to scientific collaborations and could jeopardise research on climate change, the Arctic and global health. “When your collaborator suddenly tells you I'm not going to share the data with you as a researcher, if this happens, I think it's very worrisome,” she said. “I'm certainly hoping that a lot of the Canadian institutions, funders, researchers, have started looking at joining forces on databases and using more European research infrastructures,” Nemer added.
Watchdog unleashes database to expose 'loopholes' as $5B in foreign cash floods US nonprofits
A new database tracks over $5 billion in foreign spending flowing into 523 politically active U.S. nonprofits not required to disclose donors.
Samsung confirms the existence of the Galaxy S27 Pro
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Georgia Tech, University of Vienna researchers top Stanford’s annual ranking of high-impact scientists
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Seneca gaming compact fight spills into New York governor’s race
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Major science group launches heat policy database
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ChatGPT for Healthcare unveils Epic integration as part of data consolidation strategy
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From 650,000 players to the number one target
City's devotion to data is at the heart of their efforts to close the gap on Arsenal and BBC Sport has been given unprecedent access to the inner workings of the club's metrics machine as we uncover some of the secrets guiding their work - particularly regarding player recruitment and sales. The starting point for any new signing is City's database of 650,000 footballers from around the world.
Iran war casualty count eclipses 600 as Pentagon quietly changes accounting
The Pentagon updated its war casualty database Saturday, recording more than 140 new wounded and restoring the four soldiers killed due to Iranian strikes last weekend.
How Epic turns America's health data into answers
Software developer Caleb Cox and chief medical officer Dr. Jackie Gerhart discussed how Cosmos, Epic Research’s database, spurred tools like health alerts.
CMU Cognitive Psychologist’s Work Has Generated Over 14,000 Language Studies
TalkBank, a family of 14 databases has become the basis for language science research on everything from how children learn to speak and how people pick up a second language to patterns that can reveal the onset of dementia.