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In New York Governor's Race, a Republican Rallies With Trump and Leans Into His Political Playbook
NEW YORK (AP) — In his campaign to become the next governor of New York, Republican Bruce Blakeman has suggested Democrats might steal the election, played up fears about immigrant criminals and posted AI-generated videos depicting the state as dangerous and unaffordable. And on Friday night, he'll ...
HHS Recommends Science-Based Thresholds to Target Dangerous Enhanced Kratom Products
HHS provided a new recommendation to the Drug Enforcement Administration that establishes science-based thresholds.
This weather threat costs us billions. And it’s about to get worse.
Scientists are chasing hail to understand what’s happening to these dangerous projectiles.
MSU health officials warn campus about dangerous synthetic opioid
Michigan State University health officials issued a warning to the campus community about cychlorphine, a synthetic opioid linked to more than 100 deaths in the United States, including a 16-year-old boy in California.
See Mamaroneck roadway where state DOT plans to add bike lanes
A Mamaroneck business owner believes that bike lanes on Boston Post Road will increase traffic backups and be dangerous for young cyclists.
NASA is searching for hidden caves to build its first Moon base
NASA is preparing for humanity’s first Moon base with three investigations that will hunt for underground shelters, uncover hidden ice, and track dangerous conditions on the lunar surface. The findings could reveal how astronauts can survive and thrive on the Moon while laying the groundwork for future journeys to Mars.
iPhone Duo: Apple Charging $49 for New Cover Layer, $229 for Battery
We just published Apple's list of iPhone Duo repair fees for customers without AppleCare+ coverage, and we want to bring extra attention to two of the fees in particular: a new cover layer costs $49, and a replacement battery is $229. Apple's vice president of hardware engineering Kate Bergeron revealed that the iPhone Duo's nano-texture cover layer above the inner display can be removed and replaced.
Trump draws backlash after he suggests Iran could ‘take out’ Los Angeles or San Diego
Officials in California denounced comments made by President Donald Trump as “dangerous” on Monday after he appeared to suggest Iran could “take out” Los Angeles or San Diego – major cities in a state he has often criticized.
Apple Says iPhone Duo Has Replaceable 'Cover Layer' Above the Display
In a recent interview with content creator Angelica Siciliani Fendi, Apple's vice president of hardware engineering Kate Bergeron revealed that the iPhone Duo's nano-texture cover layer above the inner display can be removed and replaced. "It's actually replaceable, which is a really nice thing for the customer that you can peel off that layer and get a new one," said Bergeron.
The data center debate
We’ve been warned in the past two weeks that artificial intelligence (AI) may kill us all in the next five to 10 years. Industry leaders have suggested there are dangerous...
Jazz Continue Strong Preseason with Win Over Spurs
Rookie Darryn Peterson shined and Ace Bailey’s defensive versatility flashed as Utah’s dominant third-quarter surge dismantled San Antonio, signaling a dangerous new depth in the Western Conference.
Syracuse Football Alum Draws High Praise in NFL Circles
Matthew Bergeron is currently a big part of why the Atlanta Falcons are 2-2.
Reform and the UAE – a threat to British politics
By Alex Carlen The United Arab Emirates likes to present itself as part of the solution to the climate crisis. The oil-rich Gulf state has committed to Net Zero by 2050, hosted COP 28, and even declared “championing climate action” as one of three strategic objectives for this week’s session of the United Nations General Assembly. But behind the scenes the UAE has quietly built one of its closest political relationships in Europe with the party most hostile to climate action in Britain: Nigel Farage’s Reform UK. There is no evidence that the UAE is funding Reform. But a new FairSquare report, Petro-populism: the UAE–Reform threat, published today, documents a growing political relationship that should concern anyone interested in the integrity of British democracy. Reform’s leaders have embraced the UAE’s political model and promoted positions that align closely with the Emirati government’s priorities, while the UAE has given Farage and his party unusually warm access and public backing. What is emerging is not simply a relationship between British politicians and a wealthy Gulf state, but a channel through which an authoritarian government can cultivate political influence here, and abroad. Democracy for Sale relies on its readers. If you already support us, thanks so much. If you don’t, sign up to support fearless independent investigative journalism. Subscribe Back in January, Nigel Farage appeared at a GB News event in Dubai. On the 50th floor of a tower overlooking the luxury resorts and upscale residences of Palm Jumeirah, the Reform leader declared: “I want Clacton to look like this.” At the event – which Farage never declared on his official register of interests – senior Emirati officials mixed with British expats. Farage was keen to flatter. “We recognise you are our friends”, he said, assuring them that “a Brexit London, a Reform London, will remember you.” Controversy surrounding Reform’s finances and its susceptibility to foreign influence have centred around high-profile donations from billionaire crypto donors, and the jailing of Nathan Gill, Reform’s former leader in Wales, for accepting bribes to give pro-Russia speeches. Far less attention has been paid to Reform’s blossoming new alliance with the UAE, an oil-rich authoritarian state with a track record of ruinous anti-democratic interventions. Farage wasn’t always so fond of the UAE. Back in 2023 he called it an “absolute monarchy with an abysmal human rights record.” Now Reform’s hierarchy calls the UAE home. Deputy leader Richard Tice splits his time between his constituency and Dubai and has called on the UK to learn from the UAE. The party’s treasurer Nick Candy runs a firm which has been in partnership with a UAE-state linked firm since 2024. Nadhim Zahawi sits on the board of an Abu Dhabi think tank alongside an array of the most senior UAE officials and is reportedly close to three brothers of the country’s despotic ruler Mohammed Bin Zayed. Reform’s leading lights have effusively praised the UAE’s governance model, defended it from criticism, and advanced its political agenda in the UK. GB News, whose two major shareholders – the Legatum Foundation and Paul Marshall – have strong links to the UAE, has been more than happy to broadcast UAE propaganda and was forced to pay damages in 2025 after airing a false claim about a UK charity by the UAE “disinfluencer” Amjad Taha. The UAE has responded in kind. When the UAE Minister for Foreign Affairs conducted an official visit to the UK in May, Farage was the only non-government figure granted an audience. UAE state media publicised the meeting, and said that they discussed “the strategic relations between the two countries and ways to enhance them in a manner that serves mutual interests.” For the UAE these ‘mutual interests’ largely concern its paranoia over political Islam, and in this regard the UAE-Reform alliance is part of a broad and troubling pattern. Following a crackdown on dissent at home in the aftermath of the Arab Spring, the UAE has offered material and political support to a range of violent and authoritarian actors willing to oppose the Muslim Brotherhood with no regard for the consequences. Its meddling in Egypt, Tunisia, Yemen, and most notably Sudan, have been devastating. The UAE’s strategy of seeking out partners on the political fringes who it believes will advance its interests is not unique to Britain – it extends beyond the Middle East to Europe and the US. In France, it has offered clandestine support to Marine Le Pen through secret meetings, as well allegedly funding trips to the region after which Le Pen returned with a renewed focus on the UAE’s perceived enemies – Qatar and the Muslim Brotherhood. Left-wing opposition leader Jean-Luc Mélenchon has accused the UAE of smearing him and of “encouraging discrimination, hatred or violence”. In the US, the UAE actively supported the rise of Donald Trump, establishing itself as a key ally during both his first and second terms. Around these relationships sits a wider ecosystem of figures willing to amplify UAE narratives, that even extends to Andrew Tate and Tommy Robinson. Subscribe In Britain, the UAE has used a combination of aggressive diplomacy and illicit, disruptive tactics to achieve its policy goal of eliminating any perceived threat from political Islam. In 2012, for instance, it threatened to block billion-pound arms deals with the UK and stop inward investment if David Cameron did not act against the Muslim Brotherhood and rein in the BBC’s coverage of the group – going so far as to suggest, with no supporting evidence, that the group had infiltrated the BBC. It has financed smear campaigns against a high-profile UK charity and funded a mercenary to secretly surveil, and possibly assassinate, a British national on British soil. In Reform UK, the UAE has finally found an ally willing to not only ban the Muslim Brotherhood, but to publicly vilify the group and repeat the UAE’s claims that dangerous Muslims are a fifth column in British society, a narrative that aligns with the Islamophobia and anti-immigration sentiments that underpin Reform’s populist politics. The Rycroft review into foreign interference concluded that “hostile states and non-state actors have a clear incentive to attempt to undermine UK democracy.” The UAE’s network and alliance with Reform must be understood within that framework. It is a powerful, disruptive and deeply authoritarian actor with the resources and networks to intervene in our politics, and a track-record of doing so in a multitude of other countries. The evidence of the threat the UAE poses is overwhelming. The question is whether parliamentarians are willing to call the UAE out and demand action using the tools that the government has to respond. Placing the UAE on the “Enhanced Tier” of the Foreign Registration scheme alongside Russia and Iran would send a powerful signal to the UAE that its meddling will no longer be tolerated, and would place Farage’s next trips to the UAE under the scrutiny they deserve. Alex Carlen is research and advocacy manager at London based human rights organisation FairSquare and author of its new report Petro-populism: the UAE–Reform threat. Subscribe
When health advice goes viral, these San Diego doctors are trying to cut through the noise
More than a third of Americans turn to social media for health information, but doctors warn some of what they find there can be dangerous.
What's behind HHS claims that gender-affirming care 'may' radicalize
The report is the agency's latest effort to chip away at trust in established health care models for transgender people. Critics say it frames transgender identity as illegitimate or even dangerous.
A Dangerous and Unsocial Form of Excitement
Religious leaders are finally pushing back against online gambling.
Democratic Congresswoman Calls Out Her Own Party for Embracing ‘Dangerous’ Hasan Piker
Rep. Angie Craig (D-MN) called out her fellow Democrats for cozying up to socialist streamer Hasan Piker and his "dangerous" rhetoric in a Saturday post on X
In New York governor's race, a Republican rallies with Trump and leans into his political playbook
In his campaign to become the next New York governor, Republican Bruce Blakeman has suggested Democrats might steal the election, played up fears about immigrant criminals and posted AI-generated videos depicting the state as dangerous and unaffordable.
Abbott targets Hinojosa over whether she backs a state income tax
For weeks now he has been pointing to a 2019 vote as evidence that his opponent, Gina Hinojosa, wasn’t against income taxes and “is dangerous for Texas.”
The raid on Ilhan Omar’s house is dangerous political theater
The raid is meant to cast an air of suspicion and criminality over Democratic candidates who, like Omar, are facing the voters in a matter of weeks
Leonardo DiCaprio's 'dad bod' puts spotlight on dangerous belly fat — and how to lose it
Leonardo DiCaprio's beach photos sparked a 'dad bod' debate, as a trainer warns that excess belly fat and visceral fat carry serious health risks.
Blood test could gauge if a baby has a dangerous infection in 15 minutes
Feverish babies in hospital are often assumed to have a serious bacterial infection and are treated with antibiotics. But a test that gauges whether the infection is bacterial or viral, which tend to be milder, could prevent unnecessary drug use
Is football too dangerous for kids’ brains? These scientists are racing to find out
A new study found that one in four professional football players who died between 2016 and 2021 had CTE—a degenerative brain disease—but what about children who play these sports?
'It's not ... nuclear science.' Center Grove is dangerous when playing at its best
Center Grove has fought inconsistency but Trojans are dangerous when playing their best. On Center Grove's rally to beat Bloomington South.
Good science requires much more than evidence
Empiricists believe that scientific theories are true only if they make correct empirical predictions: if we can't verify these predictions, then there is no reason to expect that they tell us anything about reality. However, Professor of Philosophy at King's College David Kyle Johnson argues that this is mistaken. In response to Bas van Fraassen, who has written on this subject for the IAI, he argues that we have many reasons for believing a theory to be true, such as it being parsimonious and having large scope — qualities which have been used throughout the history of science as criteria for judging theories. In 2024, Princeton philosopher Bas van Fraassen wrote a short article for IAI News entitled “Science Does not Describe Reality: The Limits and Benefits of Explanation.” At the time, I was working on two projects (a science book and a Great Course) that, when completed, would (among other things) defend science’s ability to describe reality. I wanted to write a response to van Fraassen, but the projects demanded too much of my attention. But now that those projects are complete, I am in a position to explain the objections to van Fraassen’s thesis. Summarizing van Fraassen’s argumentIn a nutshell, his argument is this: What scientists do is make predictions based on theories and then invite others to test to see whether those predictions are borne out. “If theory T is right, result R should happen in experimental condition C.” Many think that running an experiment that shows that R happens in condition C is proof that theory T is true (and should be believed). But, van Fraassen argues, that R happened in condition C is only a reason to think that R happens in condition C. That’s the only observable, or empirical, result we can actually see, so that is all that we are really justified in believing. (The underlying theory that made that prediction still may or may not be true.) That is why he calls those who accept his position “empiricists.”Before I explain what is wrong with this position, let me explain what it gets right. What van Fraassen Gets RightFirst, a theory correctly predicting the results of an experiment is not, strictly speaking, “proof” that the theory is correct. The basic line of reasoning is this:If the theory T is true, result R should happen. Result R did happen. Thus, theory T is true.In other words:“If T then R. R. Thus, T.”This is a deductively invalid, fallacious mode of reasoning, called “affirming the consequent.” Those premises do not guarantee that the conclusion follows. “If I am in Pennsylvania, then I am in the USA. I am in the USA. Thus, I am in Pennsylvania.” Clearly that argument doesn’t guarantee its conclusion; neither does the above argument.However, science is not a deductive method of reasoning; it is an inductive one. And inductive arguments merely try to raise the probability of their conclusion, not “prove” them for certain. Thus, the fact that an experimental result doesn’t prove a theory is true is irrelevant; it’s not supposed to. That is not what scientific reasoning is about.___If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational.___Second, it’s also true that a single experimental result doesn’t provide enough justification to believe that a theory is true. Scientists do not come to a consensus about whether a theory is true by looking at a single experiment; they look at all the evidence to determine where the preponderance of evidence points. The mere fact that I am in the USA raises the probability that I am in Pennsylvania, but not nearly enough to conclude that I am in Pennsylvania. However, if I am also regularly encountering people wearing Eagles and Phillies hats and seeing advertisements for Founding Father tours, I probably am. In the same way, a theory successfully predicting the outcome of one experiment is not enough to conclude that it is true; but if a theory makes a wide variety of predictions that are all vindicated by multiple experiments, performed by many different groups and people, all actively trying to prove the theory false (which is what good scientific experiments are designed to do)—that is a good reason to conclude that the theory is true. In other words, if you repeatedly try to prove something false but can’t, that is a very good indication that it isn’t. The problem of underdeterminationIn reply, those whom van Fraassen calls “empiricists” often point to the “problem of underdetermination.” For any given theory that makes successful predictions about what happens in experimental conditions, there are countless other possible theories that make exactly the same predictions—and since they do, the experimental evidence in question is just as much reason to accept any of those theories as it is to accept our original one. Thus, the argument goes, we have no way of knowing whether our original theory is true, or one of the other “predictively equivalent” theories is true. SUGGESTED VIEWING How Occam's Razor changed the world With Johnjoe McFadden As an example of underdetermination, philosophers often offer this example. The evidence of fossils seems to provide reason to conclude that the universe is quite old; ancient fossils are what the “ancient universe” hypothesis predicts. But it’s also possible that God created an ancient-looking universe 200 years ago, complete with a “fake” fossil record for us to find, to make it look old. The existence of fossils is what that theory predicts too. So, the argument goes, the fossil record can’t be used as evidence that the universe is ancient; the fossil record supports the “200-year-old ancient-looking universe” theory just as much. The problem of underdetermination points out that, for any theory with supporting evidence, we could invent another completely different theory that predicts exactly the same evidence, and thus undermine that evidence’s ability to support the original theory.But this “argument from underdetermination” betrays a fundamental misunderstanding of what scientific reasoning is and how it works. To explain, let me use another rather strange (but very real and commonly discussed) philosophical thought experiment called “The Grue Problem.” The “Grue” ProblemSuppose I want to know what color emeralds are, so I observe a few, see that they all appear green, and form the theory that “all emeralds are green.” I thus predict that the next 100 emeralds I find will also appear to be green. And let’s say that happens, and so I thus conclude that my theory that all emeralds are green is true. Now, one might rightly point out that I don’t know for sure that all emeralds are green—I have not seen them all. Maybe some I haven’t found yet are blue. Fair enough. After all, we used to think that all swans were white, until we found some black ones. But let’s say that I go on a quest and collect every emerald in the universe—and, for the sake of the argument, let’s say I can do this, and can even know that I have every one of them. So, I collect them all, look at them all, and verify that they all appear green. Can’t I now rightly conclude that all emeralds are green?Inspired by the problem of underdetermination, a friend might argue that I cannot.Sure, they all appear green now—but there could be another kind of color called “grue.” Something is grue if it is green up to a certain point in time, but then spontaneously turns blue. And there could be an infinite number of “shades” of grue. Something that is one shade of grue will turn blue at noon today, but something that is another shade of grue will turn blue at noon tomorrow, etc. So yes, the emeralds appear green now; and since they haven’t turned blue yet, they are not some “past” shade of grue. But they might be some “future” shade of grue (e.g., they may turn blue at noon tomorrow). And since all future shades of grue are consistent with “being green up to this point in time,” the evidence you have is completely consistent with the notion that all emeralds are some future shade of grue, rather than green. Indeed, that they would appear green until now is what the “some future shade of grue” hypothesis predicts. So, we have just as much reason to conclude that all emeralds are some shade of grue as we do to conclude that they are green.You’re probably thinking “It’s not equally possible that the emeralds are grue; they are obviously green.” You are right! But explaining why your instinctive reaction to my friend’s argument is correct will help inform why van Fraassen’s “empiricist” is wrong and science actually does describe reality.The main mistake my friend makes is in thinking that the “empirical evidence” (of all the emeralds appearing green) is (or even should be) all I am using to draw the conclusion that all emeralds are green. It is not. I am also considering known facts about how colors typically work; things don’t usually change color, and when they do, they don’t do so suddenly, without cause, and all at once. So, even though the simple evidence of the emeralds all appearing green up to this point is consistent with them being some future shade of grue—that is even what the grue hypothesis “predicts”—it is still exceedingly unlikely that they are. The hypothesis that they are green is much more likely. Understanding science refutes the problem of underdetermination The misunderstanding about science that the “empiricist” pointing to “the problem of underdetermination” makes is similar to the one that my friend made. Science is not just about considering experimental evidence; in fact, it’s not even just about considering empirical evidence. As Ernan McMullin and many other philosophers of science have pointed out, the inference that makes science is “inference to the best explanation” (sometimes called “abduction” or “retroduction” by McMullin). While, depending on the circumstances, scientists use many different kinds of reasoning, science as a whole is, simply put, the process of considering multiple competing explanations and comparing them to certain criteria—explanatory criteria (the kinds of things explanations must be and do, by definition, to be a good explanation)—to see which explanation is the best.And these criteria do not deal only with empirical results. Yes, successful predictions raise the probability of a hypothesis, but it’s also the case that the more new assumptions a theory makes, the less likely it is to be true; every new assumption presents an opportunity for the theory to be false. (The fewer assumptions a theory makes, the simpler or “more parsimonious” it is said to be.) Likewise, the more existing evidence a theory contradicts, the less likely it is, because in order for a theory to be true, every piece of evidence it contradicts has to be somehow faulty. (The fewer established theories a new theory contradicts, the more “conservative” it is said to be.) And, obviously, the more something explains, the better explanation it is. (This is called having “scope.”) If a theory raises unanswerable questions, it’s not expanding our understanding, and thus is not wide-scoping. Scientists consider all these things when deciding which theory to accept, because the theory that adheres best to these explanatory criteria is most likely to be true.___the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth.___The reason the grue hypothesis is no good is because it invents an entirely new kind of color—not just a new shade, but an entirely different category of color (a different way colors work)—and thus is not parsimonious. It raises unanswerable questions about how and why emeralds would just spontaneously change from green to blue (and thus does not have wide scope). And it contradicts what is already well established about how color works (and thus is unconservative).The theories that the problem of underdetermination points to do the same thing. Yes, the theory that God created an “ancient-looking universe” (complete with an ancient-looking fossil record) two hundred years ago is also consistent with the empirical evidence (of a fossil record) that presently exists; but that theory is monumentally unparsimonious (it requires many extra assumptions about infinite entities) and not wide-scoping (it raises unanswerable questions about why God would do such a thing). So, I can rationally conclude that it is false.Indeed, the history of science includes many examples of theories that were rejected because they lacked parsimony and/or scope, even before their falsity (and the truth of their competing theory) was confirmed by observation. As I point out in my book, geocentrism was rejected by the scientific community because it lacked parsimony, almost 200 years before the observation of parallax confirmed that the Earth moves around the sun. And the continuum theory of matter was completely rejected by 1860, because it couldn’t explain chemical reactions or organize matter into a periodic table, even though the experiments that eventually confirmed atomic theory weren’t even proposed until the 1870s. Solving the best of a bad lot problemIn response, the “empiricists” are likely to object, this time pointing to the “best of a bad lot” problem. “We have no reason to conclude that an explanation that has been shown to be better than others is true because we have no guarantee that the true theory was among those that we were considering.” If you have a “lot” (a collection) of poor explanations, even the best one is not true.The responses to this problem, however, are numerous. Peter Lipton argues that the set of hypotheses that scientists consider are not just randomly selected and thus unlikely to contain a theory that is true; they use existing knowledge to home in on what is most likely to be true. A doctor trying to explain abdominal pain is not going to bother wondering whether demons are causing it; they are going to stick with things like appendicitis and kidney stones, because they are most likely. Further, despite its name, inference to the best explanation is not just the process of comparing hypotheses and accepting the best one; we also want one that is a good explanation in its own right. If it’s not, we are going to keep looking until we find an explanation that is. And while that process does not guarantee that we will come across the exact truth, it’s very likely that the theory that emerges as the best will be at least approximately true, and thus we will be justified in believing it. And lastly, as I point out in my book, although many theories not based in scientific evidence (like geocentrism and continuum theory) have been completely overturned, science almost always progresses by the refinement of scientifically established theories—not their replacement. (Although our sun is not the center of the universe, heliocentrism was our first step in understanding the Earth’s true place in the universe.) So even if a theory we accept today may not be completely right, accepting it is a step on the journey toward the complete truth. The example of atomic theoryNow, it’s worth pointing out that most empiricists are not skeptical of all scientific theories; they are only skeptical of the ones that hypothesize the existence of “unobservables.” It’s not like they think that round Earth, heliocentrism, and germ theory are just useful (but untrue) “instruments” for making predictions about how to most efficiently navigate the seas, predict planetary motion, and treat diseases. They admit that the Earth actually is round, that the planets revolve around the sun, and that germs exist and cause disease. These facts and entities can be observed; the theories that suggest they exist are true. It’s only when theories start hypothesizing the existence of unobservables—like electrons, or quantum fields—that can’t be observed directly, that we should start doubting the theories’ truth. And to be fair to van Fraassen, in this published work, he doesn’t really say that we should doubt the truth of such theories. Only that scientific reasoning does not rationally force us to accept them as true. Skepticism, or agnosticism, he argues, is warranted. SUGGESTED READING Science is based in metaphor By Andrew Reynolds But the history of atomic theory throws a monkey wrench into that argument. Atoms used to be unobservable; again, scientists first accepted the theory that they exist because it had such grandiose explanatory power. But then atoms were seen with electron microscopes. They thus moved into the category of the observable. But this didn’t substantially change anything about what scientists were justified in believing; it certainly didn’t change any “atomic skeptics’” minds. It just confirmed what everyone already knew! If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational. The fact that the thing itself is not technically observable does not make doubting its existence rational.What’s more, the atoms were seen with an electron microscope. But electrons are themselves unobservable. How can an electron microscope reveal an atom if electrons are not real? This leads us to what is famously known as Hilary Putnam’s “miracle argument.” It’s (not) a miraclePhilosopher Hilary Putnam’s miracle argument is somewhat famous. Basically, he argued that a scientific theory being able to repeatedly make successful predictions—even about unobservables—without being at least approximately true would require a “miracle.” In other words, it would be such an improbable occurrence that it could not rationally be believed—the better explanation for why scientific theories about unobservables make the right predictions is because the unobservable entities and structures they hypothesize exist.Van Fraassen has addressed this argument. Indeed, in his original article, where he references Alison Gopnik’s point about orgasms not being “necessary for procreation” even though the desire for orgasm “drives the creation of progeny,” he is pointing to his own argument about how organisms are not naturally selected by evolution to get true beliefs; to the extent that belief-forming processes are selected for, the ones that are selected are the ones that are useful for survival—not the ones that produce true beliefs. In the same way, van Fraassen argues, scientific theories are accepted, not because they are true, but because they aren’t falsified; they make successful predictions; that’s what makes them “stick around.” So, the fact that they make successful predictions (and thus became accepted) is not a reason to think they are true.This argument is similar to C. S. Lewis’s “argument from reason,” which he used to argue against evolution: “The truth of evolution undercuts our ability to know that it is true.” Lewis’ argument famously failed; Elizabeth Anscombe, by Lewis’s own admission, demolished Lewis in a debate on the topic, and I have explained elsewhere why modified versions of the argument fail as well. In short, it’s because it fails to recognize that a belief-forming process can make an organism more likely to survive because it reliably produces true beliefs. It is therefore not the case that beliefs generated by naturally selected belief-forming processes are automatically false or unjustified.In the same way, the reason a theory “sticks around” could be because it’s not falsified, because it “makes correct predictions.” But the reason it makes correct predictions is most likely because it is true. (In pointing this out, I am echoing the arguments of Musgrave, Lipton, Psillos, and Kitcher, who refuted van Fraassen’s argument and analogy long before his 2024 article.) It would be a huge coincidence that it could do so without being true. And that is the point of Putnam’s miracle argument. Thus, contrary to van Fraassen’s suggestion, the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth. ConclusionLet me close by saying something about the fact that empiricists don’t doubt the truth of all scientific theories, just the ones that hypothesize unobservables. In today’s society, this theory is dangerous to espouse publicly. The nuance between being skeptical about all of science, and just the highly technical theories about unobservables, is guaranteed to be lost to the average reader. And there is so much unjustified skepticism and doubt about the findings of science and experts that a headline like “Science Does Not Describe Reality” could easily fuel the anti-science movement, worsen climate change denial and cause the next pandemic.This is why I believe it was important to still respond to van Fraassen’s article, a full two years after he wrote it. Not only, as I have argued, does it represent a philosophically inaccurate view of how scientific reasoning works and what scientific reasoning can do, but it is a dangerous view to boot. It should thus be rejected.
Tacoma police search for bail bond business bombing suspect
The front door of Bad Boys Bail Bonds was shattered by the blast.
CDC: Monitoring Russian plague risk, "prepared" for any threat
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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.
Grounded 2: 100 Reasons to Run in the Rot and Ruin Update
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Trump’s LA and San Diego comments ‘dangerous, if not treasonous’, says Newsom
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Laughter Shocktober brings dangerously unrehearsed comedy to Nevada City Oct. 8
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Utah health officials issue ‘urgent’ warning about kratom, ‘cat’s claw’ products after overdoses
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Hands-on science can be cool
After spending many long days conducting experiments to find a new way to combat bacterial infections in crops, Misha Hegde and Mia Soleil Maurer have been rewarded with international recognition and access to top research facilities. But these are not typical scientists. They are 16-year-old German high school students.“Our supervisor told us that in order to start a project, you need to begin with either a question or a problem,” says Misha, adding that she and Mia had read about antibiotic resistance in certain plants being treated for bacterial infections. “We found out that antibiotics overuse is very common in agriculture,” explains Mia. “Our aim was to create an alternative to antibiotics and to try to raise awareness of the problem of overusing antibiotics.”Their subsequent research has focused on harnessing bacteriophages, the natural predators of bacteria, to eliminate pathogens threatening food crops treated with antibiotics. At the Schuldorf Bergstraße Jugend forscht MakerLab in Seeheim-Jugenheim, located in the German state of Hesse, they discovered a novel phage that infects the Rhizobium rhizogenes bacterium, which causes the hairy root disease that can reduce yields of tomatoes, carrots, soya beans and other food staples.The students believe their method could curb antibiotic use, while protecting plants from infections without disturbing the natural soil microbiome. “The application of phages is host-specific, so they would only kill the targeted pathogen or disease-causing bacteria,” explains Mia. It may also offer environmental benefits, since applying antibiotics can contaminate groundwater.Getting to this point has not been easy. The childhood friends admit to feeling frustrated when their trials did not yield the expected results. “We spent six months on our first experiment, just doing the same thing over and over and over again, to the point where we thought, is it even worth it? Why are we doing this?” Misha says. “You just need to be brave enough to take that first step and keep going.”The benefits of inquiry-based learningTheir determination has paid off. In 2025, the pair won first prize in biology at Jugend forscht, Germany’s national competition for young people interested in science, technology, engineering and mathematics. They were also among the winners of the German Research Foundation Europa-Preis, which is awarded to selected national winners at Jugend forscht, and took third place in the 2025 European Union Contest for Young Scientists.The Jugend forscht Foundation opens doors for young people to connect with scientists as well as industry professionals. Jessica Bönsch, executive director of the Foundation, sees Misha and Mia as prime examples of how young people can develop a deeper understanding of science through their own research projects. “The experience of working on your own research question is very important,” she explains, adding that “inquiry-based learning engages with real-life problems in a way that can be more motivating than traditional classroom teaching.”The Jugend forscht Foundation offers financial support through sponsor pools in Germany’s federal states. Some projects are developed in cooperation with student research centres, university labs or informal collaborative learning areas called makerspaces. Other activities start as hands-on “garage projects” and can grow within the Jugend forscht network and infrastructure.The Jugend forscht Foundation is also a partner of Science Comes to Town, an EU initiative to strengthen public awareness about science and create bridges between researchers and communities. The EU-financed project involves universities, research institutions and other stakeholders in three host cities — Brest (France), Kiel (Germany) and Split (Croatia).“It's so important for people not to live in a bubble, because I think science can be very scary if you misunderstand it,” Mia says of SCTT. The initiative’s aim of raising awareness about science is “absolutely amazing,” Misha adds. “I think it's the best way to kind of make science digestible for the public. In a world where misinformation in science is getting more radical, more dangerous, becoming more of a threat to the trust in scientific infrastructure and foundations, we need such programmes.”Misha and Mia also believe that SCTT can help break down gender stereotypes in science by encouraging young women to study and pursue careers in scientific fields. Both students have benefited from female mentors and encouragement they had when they were much younger. Mia’s love of science began with a class trip to a lab, while Misha — with a smile on her face — says she wanted to study history until “a teacher kind of coerced me into joining a school science club.”Recognition beyond EuropeIn May, Misha and Mia were among the finalists at the Regeneron International Science and Engineering Fair held in Phoenix, Arizona, and involving nearly 1,700 pre-university students from over 60 countries. “It was very crazy because there were so many people and so many teenagers interested in science,” Mia recalls. The event was also challenging. “It was eight hours of continuously presenting your project,” adds Misha.Attending the fair was a chance for the young women to see first-hand the value of international collaboration as well as how research cultures differ. “America is a bit more willing to take risks, and I think that's something we can learn about here in Europe,” Misha explains. However, she continues, “I think Europe has the talent, has the innovation and has the resources” to be competitive.Misha and Mia plan to continue their phage experiments in the new school year, inspired by the project’s hands-on nature and the support they receive from their supervisors. They have also attracted the interest of professional scientists and received invitations to leading research facilities, including the Centre for Synthetic Microbiology, jointly run by the University of Marburg and the Max Planck Institute for Terrestrial Microbiology in Germany. “It is so cool that we can do something to try to move the world in our school and at this age,” Mia says.After completing secondary school, Mia plans to study microbiology and pursue a career in medical research, focusing on Ebola and other infectious diseases. “This has been my dream for so long,” she says. Her friend Misha is interested in biological research with a focus on medicine. “I've gotten addicted to the process of going to the lab, planning out experiments, then failing, trying again,” Misha says. “I think there's just so much to be discovered, so much to be done.”The students' names and photos were published with the permission of their parents.Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
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Australia: NSW Health warns against handling bats due to lyssavirus
NSW Health is advising the public not to handle, or otherwise handle bats, following a recent increase in people being bitten or scratched across the state. In the two weeks from 28 September to 10 October, 43 people were assessed by NSW Health after being bitten or scratched by bats. This includes in coastal areas in Hunter New England, the Mid North Coast, Northern NSW, and the Central Coast. This is a significant increase when compared with 10 reported cases of bat bites or scratches for the same two-week period in 2025. Keira Glasgow, Director in Health Protection at NSW Health, said, “We want people to assume that any bat could carry Australian bat lyssavirus, which is a close relative to the rabies virus and very dangerous to humans.” “If you see a bat that is injured or in distress, call your local wildlife rescue service and do not touch it. Only trained, protected and vaccinated wildlife handlers should interact with bats. “It is incredibly rare for Australian bat lyssavirus to transmit to humans, but once symptoms of lyssavirus start in people who are scratched or bitten by an infected bat, sadly there is no effective treatment. “If you are bitten or scratched by a bat, urgent medical assessment is crucial.” Rabies virus and Australian bat lyssavirus (ABLV) belong to a group of viruses called lyssaviruses. These viruses transmit via a bite from an infected ("rabid") animal. They all cause a similar illness known as rabies, which affects the central nervous system and is usually fatal. Rabies and ABLV infection cause similar symptoms. The early symptoms are flu-like, including headache, fever and fatigue. The illness progresses rapidly to paralysis, delirium, convulsions and death, usually within a week or two. Rabies cases and the three known human cases of ABLV infection have shown a wide variability in the time it takes for symptoms to appear following exposure to an infected animal (from several days to several years). The best way to protect yourself from infection is to not touch bats. If you see a bat in distress, injured or trapped on the ground, do not try to rescue it. Instead, contact trained experts. Outbreak News Today is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
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U.S. Department of Health and Human Services (HHS) Recommends Science-Based Thresholds to Target Dangerous Enhanced Kratom Products
Kratom products credit: CDPH DEA takes action based on updated recommendation from HHS October 11, 2026 - WASHINGTON - On Friday, the U.S. Department of Health and Human Services relesed the following: The U.S. Department of Health and Human Services (HHS) provided a new recommendation to the Drug Enforcement Administration (DEA) that establishes science-based thresholds for 7-hydroxymitragynine (7-OH) and mitragynine pseudoindoxyl (MGPI), potent opioid compounds associated with products marketed as kratom. The Department of Justice today announced that DEA issued new Notices of Intent reflecting HHS’ updated scientific analysis and recommendations, including a new Notice of Intent for 7-OH and MGPI incorporating HHS’ recommended concentration and ratio thresholds. Following a review of available scientific data and comments, HHS Assistant Secretary for Health Admiral Brian Christine, M.D., recommended that DEA use concentration or ratio-based thresholds to determine which products containing 7-OH and MGPI are subject to Schedule I control for purposes of temporary scheduling of these substances under the Controlled Substances Act. The recommendation is designed to target concentrated or chemically altered products while distinguishing them from natural botanical kratom products, which may contain trace amounts of 7-OH and MGPI. “We are drawing a clear line between natural kratom and dangerous, enhanced opioid products,” said HHS Secretary Robert F. Kennedy, Jr. “We listened to the public, followed the science, and developed a clear recommended threshold for temporary scheduling that targets concentrated 7-OH and MGPI without sweeping natural botanical kratom into Schedule I. The Trump Administration will continue taking decisive action against dangerous products that fuel addiction while making sure our policies are grounded in rigorous science.” Under the recommendation, 7-OH and MGPI would be controlled in Schedule I for purposes of temporary scheduling when either substance alone, or their combined amount when both are present: Exceeds 1 milligram per gram in solid powders, encapsulated material, or other solid forms, or exceeds 1 milligram per milliliter in liquid preparations; or When the mass of mitragynine present divided by the mass of 7-OH, or MGPI, or the combined amount of 7-OH and MGPI if both present, is less than 100. The ratio-based approach reflects the alkaloid composition of natural kratom products and provides a way to identify products intentionally enhanced or concentrated with 7-OH or MGPI. Available scientific data indicate that 7-OH occurs naturally in botanical kratom at relatively low or trace levels, while some evidence reviewed by FDA suggests MGPI may also occur at trace levels in some natural or kratom-derived products. FDA's scientific review found that 7-OH is substantially more potent than morphine in preclinical studies, with available data indicating approximately two to nine times greater potency depending on the study. FDA also identified evidence supporting a meaningful risk of opioid-like physical dependence and withdrawal from MGPI. “Our recommendation gives DEA a scientifically supportable framework to distinguish natural botanical kratom from products that have been concentrated or manipulated to deliver dangerous levels of potent opioid compounds,” said Assistant Secretary for Health Admiral Brian Christine, M.D. “This approach allows us to focus on the products that pose the greatest threat to public health.” In July 2025, following an FDA scientific and medical evaluation, HHS recommended that 7-OH above a specified threshold be placed in Schedule I of the Controlled Substances Act. In July 2026, DEA announced its intent to temporarily schedule 7-OH above a specified threshold, and HHS simultaneously sought public comment on the proposed threshold. DEA subsequently temporarily placed MGPI and two synthetic 7-OH derivatives, MGM-15 and MGM-16, in Schedule I. Since then, questions have emerged about how scheduling could affect natural botanical kratom products potentially containing trace amounts of MGPI. The new HHS recommendation responds to those concerns by providing DEA with a more precise threshold based on both the concentration of 7-OH and MGPI and their relationship to mitragynine, the predominant alkaloid in kratom. HHS and FDA will continue working with DEA to protect Americans from dangerous concentrated and synthetic opioid products while ensuring federal policy is grounded in the best available science. Source: HHS
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
This Is College Football’s Surprise Team of the Year
Who saw Mississippi State coming? Through four weeks, the Bulldogs have gone from an afterthought in the SEC to 4-0, 2-0 in conference play and No. 16 in the country . After winning just five games last season, Jeff Lebby’s team suddenly looks like one of the most dangerous teams in the SEC. And the…
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Plague is stoppable. The next health threat may not be.
The word plague is scary. Centuries ago, the Black Death killed tens of millions of people and changed the course of history. Plague still kills people around the world, and the word still evokes catastrophe. New fears of plague surfaced on October 2, when a lab worker in Irkutsk, Russia, died of pneumonia. Reports suggested that she may have contracted plague through a laboratory exposure. Understandably, people were alarmed. On October 7, the World Health Organization called for the Russian Federation to be transparent about what it knew. WHO issued an update on October 10. Russian authorities told WHO that testing did not identify plague and that investigations found no laboratory release. WHO said confidence in its risk assessment remained limited and that further clinical, epidemiological, and laboratory information was needed. The cause of the woman’s illness remains unknown, and WHO says a laboratory-associated exposure cannot be excluded. As I explained in a recent interview, this incident is very unlikely to lead to a pandemic. Plague is still active, including in the U.S., which sees a handful of cases each year. But it is a disease we can prevent and treat. Plague doesn’t spread readily, and it responds to antibiotics. The standard response—isolate the patient, trace contacts, and administer antibiotics and monitor for symptoms among contacts for seven days—works. We have even planned for antibiotic-resistant plague. At CDC, we developed a playbook for antibiotic-resistant plague and ran exercises on how to find and stop it. CDC guidance anticipates engineered resistance and recommends two different classes of antibiotics if there’s reason to suspect it. There is no evidence that resistance—or even confirmed plague—is involved in this incident. We have thought through how to address plague, but we’re not ready for the next major health threat that emerges from a lab or from animal spillover to humans. What should concern people is how little stands between the world and the next pathogen to get loose. Since peak COVID, epidemic preparedness has fallen off the political agenda, but the risk is greater than ever. More labs handle dangerous pathogens with more ways to make those pathogens deadlier, and more people live and work in close contact with animals. There are actions we can take now: We need better lab safety in every country. The number of labs that work with dangerous pathogens has increased worldwide over two decades, but there’s no enforceable international standard and no inspection regime; the Biological Weapons Convention, fifty years on, still has no verification mechanism. Labs that study dangerous germs need strong safety systems, training, and oversight. We need to reduce spillover events. Three in four emerging human infections start in animals, and there’s a lot we can do to reduce spillover risk, but the world is doing very little of it. Live-animal markets are one place to act. For instance, closing live-bird markets helped control H7N9 influenza in China. Reducing opportunities for people to encounter infected animals can prevent infections before they become outbreaks. In The Formula for Better Health, which is now out in paperback along with the hardcover, Kindle, and audiobook versions, I argue that labs do too many risky experiments with too many dangerous pathogens in too many institutions, and that every experiment should first answer one basic question: Is the likely benefit greater than the risk? Spillover risk can also be reduced: In the book, I discuss how Brazil cut its deforestation rate by 70% from 2004 to 2012 while increasing agricultural production and reducing risky contact between people and forest animals. We need faster detection and response. Delay costs lives. Strong surveillance, good labs, and trained responders can turn a single case into a small cluster of infections instead of an epidemic. Resolve to Save Lives has worked for nearly a decade to help countries find and stop outbreaks faster. The 7-1-7 target, which Resolve to Save Lives developed with partners in Uganda and elsewhere, provides a clear standard: detect within 7 days, notify within 1 day and complete all essential early response actions within 7 days. In Uganda’s Kasese district, for example, a review of a measles outbreak using 7-1-7 identified shortages of accessible funds, fuel, and vehicles that delayed the response. District leaders established funds they could access quickly. When, a few months later, the Crimean-Congo hemorrhagic fever appeared, the district detected it in three days, notified authorities in one, and mounted an effective response in two. Only one case was confirmed, and the patient survived. Because funds were available before the emergency, authorities were prepared and able to act. This kind of preparation can’t wait until the next crisis begins. Plague is an old disease we that know how to stop. The next threat may be harder to recognize, harder to treat, and easier to spread. Safer labs, less risk of spillover, and faster outbreak detection and response need sustained investment now, while we still have time to prevent the next emergency. Share
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MIT’s tiny flying robot gets 450% faster with AI
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