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They retired early to travel the world — then came decision fatigue
Retirement travel exposed Kelly Benthall and her husband to decision fatigue. Structured trips now bring them more satisfaction and less stress.
Condom maker may raise prices because of Iran war
Safe sex could get more expensive if the Iran war continues to disrupt global supply chains, according to the CEO of the world’s largest condom manufacturer.
FactCheck.org Wins People's Voice Webby Award in News & Politics | The Annenberg Public Policy Center of the University of Pennsylvania
FactCheck.org has won the popular-vote People's Voice Award as best news and politics site at the 30th Annual Webby Awards.
Warsh vows to keep monetary policy independent of politics
STORY: :: Fed chief nominee Warsh vows to keep monetary policy independent of politics:: Washington, D.C. / April 21, 2026:: Kevin Warsh, Federal Reserve chief nominee“Monetary policy independence is essential. Monetary policymakers must act in the nation's interest. Their decision is the product of rigor, deliberation and unclouded decision-making. And as Senator Warren said, I do not believe that independence of monetary policy is threatened when elected officials state their views on rates. Fed independence is up to the Fed." // :: Sen. Elizabeth Warren, Ranking Democrat on Senate Banking Committee“So, independence takes courage. Let's check out your independence and your courage. We'll start easy. Mr. Warsh, did Donald Trump lose the 2020 election?”WARSH: “Um, we try to keep politics, if I’m confirmed, out of the Federal Reserve.”WARREN: “I’m just asking you a factual question. I need to know. I need to measure your independence and your courage.”WARSH: “Senator, I believe that this body certified that election many years ago.”WARREN: “That’s not the question I’m asking. I’m asking did Donald Trump lose in 2020?”WARSH: “And I’m suggesting to you in 2020…”WARREN: “I’m suggesting you can’t answer that.”WARSH: “… the Fed had a huge inflation problem, and you certified the election…[crosstalk]… let’s keep the politics out of monetary policy.” //WARREN: "Just one little place where you disagree with Donald Trump.”WARSH: “Well, I do have a disagreement actually, Senator, with the president. I think even this morning, he said that he thought I was out of central casting. I think central casting, I'd look older, grayer, maybe show up here with a cigar of sorts.”WARREN: “Quite adorable. But, you know, we need a Fed chair who is independent. That's the only way we preserve the independence of the Federal Reserve. If you can't answer these questions, you don't have the courage and you don't have the independence.”In a confirmation hearing before the Senate Banking Committee that quickly hinted at major changes to come at a Warsh-led Fed, the 56-year-old lawyer and financier blamed the central bank for an inflation surge in the wake of the COVID-19 pandemic that continues to hurt U.S. households.Warsh's hearing quickly turned contentious. Democratic Senator Elizabeth Warren pressed Warsh on his independence and "courage", saying President Donald Trump had made clear Warsh would be his "sock puppet".
Fact check: Trump makes false claims about inflation and birthright citizenship
President Donald Trump made false claims about inflation and birthright citizenship in an interview with CNBC on Tuesday morning.
Shaky political science: using "simulated" elections over real-world elections
[Dear DSOS readers – 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 early December, we examined over 40 studies focused on ranked choice voting. We found that 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 three articles in our series: the first one summarizing the overall results of our report, the second one analyzing 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, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
Morocco debates electoral reform as key to restoring trust in politics |
Participants stressed that political participation, particularly among women and young people, remains a decisive factor in any successful democratic reform.
Scientists sculpt Einstein onto a crystal using only light
A light-sensitive crystal is opening the door to a new era of “light-written” technology. Arsenic trisulfide can be reshaped and permanently altered using simple light, creating ultra-fine optical patterns without expensive manufacturing tools. Scientists even etched a nanoscale portrait of Einstein and high-density patterns that could act as secure optical signatures. This breakthrough could power everything from advanced sensors to next-generation AR devices.
Apple Is Working On A High-Resolution Camera Upgrade That Its Chinese Competitors Have Been Investing Millions To Implement
A rumor claims that Apple is working to bring a high-resolution camera upgrade to its iPhones, but Chinese manufacturers are investing millions to bring it
More than 7 million have Alzheimer's. Can your brain health improve?
People have no control over Alzheimer's risk factors such as age, genes and family history. Diet, exercise and adequate sleep improve brain health.
Leaker: Apple Downgrading iPhone 18 to Cut Costs
Apple is downgrading the planned specifications of the standard iPhone 18 to cut costs, a leaker claims. In a new post on Weibo, the user known as "Fixed Focus Digital" said that the iPhone 18 features "certain manufacturing downgrades" that bring it more into line with the low-cost iPhone 18e model. The decision is said to be "a cost-cutting measure".
2026 Ford Mustang Dark Horse SC Offers GTD-Like Power for a Third of the Price
The new supercharged Mustang will make nearly 800 horsepower from the factory—just don't call it a Shelby.
Reality or overreaction? Breaking down the biggest takes of 2026 NFL Draft week
Separating fact from fiction when it comes to the craziest parts of 2026 NFL Draft week.
The latest Huawei folding phone kind of previews the iPhone Ultra
Coincidence or not, the latest Android folding smartphones mirror the form factor we’re expecting from the iPhone Ultra (now believed...
Having more kids associated with reduced risk of stroke and brain damage, research co-led by UT Health San Antonio shows - UT Health San Antonio
Number of live births could be an important predictive factor Contact: Steven Lee, (210) 450-3823, lees22@uthscsa.edu SAN ANTONIO, April 20, 2026 – While some say having lots of kids can make you lose your faculties, a new study suggests otherwise. Research co-led by UT Health San Antonio, the academic health center of The University of […]
Kustom Entertainment, Inc. Announces Reverse Stock Split
Overland Park, KS, April 20, 2026 (GLOBE NEWSWIRE) -- Kustom Entertainment, Inc. (NASDAQ: KUST) (the “Company”), a leading provider of video solutions which develops, manufactures, and markets advanced video recording products and other critical safety products for law enforcement, emergency management, fleet safety, and event security, today announced a 1-for-5 reverse split (the "Reverse Stock Split") of the Company’s common stock (the "Common Stock") and proportional reduction of the number o
Honeywell Said Close to Selling Unit to Brady for $1.4 Billion
Honeywell International Inc. is nearing a deal to divest its productivity solutions and services business to industrial manufacturer Brady Corp., according to people familiar with the matter.
CoatingSolution4U Wins Bronze at the 2026 Edison Awards in Materials Science
Korean Deep-Tech Startup Earns Global Recognition for Battery Manufacturing AI CoatingSolution4U Receives Bronze Edison Award 2026 CoatingSolution4U accepts the Bronze Edison Award in the Materials Science category at the 2026 Edison Awards ceremony in Fort Myers, Florida. SAN JOSE, Calif., April 20, 2026 (GLOBE NEWSWIRE) -- CoatingSolution4U, a South Korean deep-tech company founded by Seoul National University Professor Kyung Hyun Ahn, has won the Bronze Edison Award in the Materials Science c
Column | Just 2 minutes a day of this type of exercise may help you live longer
Getting older doesn’t have to mean slowing down. In fact, turning up the intensity, even very briefly, can transform long-term health and improve longevity.
Iran’s Ballistic Missile Retaliatory Strikes and Escalation Dynamics
The fact that Iran simultaneously targeted US bases in the region and Israel marked a significant difference in the scale of the retaliation.
Do Arsenal need 'different style' for forwards to flourish?
It is rare for a team to be challenging for the title without a forward in the conversation for team of the season, but it is difficult to argue against the fact that is where Arsenal are. Manchester City's Erling Haaland and Antoine Semenyo will undoubtedly be in contention for the end-of-the-season awards while past title-winners have boasted the likes of Mohamed Salah, Sergio Aguero and Didier Droga. Arsenal's available forward options of Viktor Gyokeres, Kai Havertz, Gabriel Martinelli, Noni Madueke, Eberechi Eze and Gabriel Jesus undoubtedly have their strengths - but it feels a stretch to call any of them ruthless match-winners.
He's finally back! Liverpool midfielder returns at last
Injuries have undoubtedly been a significant factor in Liverpool’s campaign this season.While the overall number of injuries may not have been overwhelming, the impact has been severe due to several...
Huawei Pura X Max: Pre-launch hands-on images show iPhone and Samsung how it's done
Newly leaked hands-on images of the Huawei Pura X Max have surfaced online hours before the official April 20 launch, offering the first real-world look at the world’s first "wide foldable". The live photos confirm a disruptive 16:10 aspect ratio and a premium textured design, effectively beating Samsung and Apple to the market with this new form factor. While the hardware showcases Huawei's innovation leadership, the device will launch without Google Play Services, running HarmonyOS instead.
Business looks to make Minnesota a leader in manufacturing jobs again
NH's Business: Workforce issues for manufacturers in the Granite State
Fred Kocher sits down with the presidents of two NH manufacturers to talk about the issues they are facing.
Curing U.S. Health Care, Part I
In 2008, much to their own surprise, leading Democrats unified around a program of major health care reform. Policy wonks had spent years developing the concepts behind what eventually became Obamacare; big Democratic victories in the 2006 midterms and the prospect of controlling both Congress and the presidency made it possible to imagine turning those ideas into reality. During the Democratic primary, Hillary Clinton and Barack Obama advocated similar plans, based on those ideas, for expanding insurance coverage. And it happened! The Affordable Care Act was enacted in 2010. When it was fully implemented in 2014, millions of Americans got health insurance: Impressive as the raw numbers are, they don’t tell the whole story. Before the ACA, even upper-middle-class Americans often found it impossible to get health insurance if they had pre-existing medical conditions. Many Americans were trapped in jobs they wanted to leave but couldn’t for fear of losing their employment-based coverage. Meanwhile, dire predictions from the usual suspects about runaway costs proved wrong. In fact, overall U.S. medical spending has grown much more slowly since the ACA was enacted than before. But the U.S., alone among advanced nations, still falls far short of providing universal health care. As you can see from the chart above, 8 percent of the population was still uninsured in 2024, a number that is set to rise over the next two years as a result of Republican policies. True, many of the uninsured in 2024 were undocumented immigrants, who we don’t try to cover. But there are still a lot of uninsured. Moreover, a significant number of Americans who have health insurance are in fact underinsured. As a result, they are at risk of incurring devastating healthcare costs and are sometimes forced to forgo needed care. This number is set to rise sharply in the next two years as a result of Republican policies adopted under Donald Trump. And not only is the U.S. unique among advanced countries in its under-provision of health care coverage, it also incurs by far the world’s highest healthcare costs per capita. So now may well be a good time to get behind a new push for major health reform — an effort, if you like, to finish the job begun under Obama. Today’s primer is devoted to the economics of health reform. During his failed effort to repeal the Affordable Care Act, Donald Trump famously complained, “Nobody knew healthcare could be so complicated.” Actually, we did know — and it’s not that complicated. Health economists understand the principles very well. And because health policy varies greatly among advanced nations, we know a lot about what works and what doesn’t. This will be the first in a series about health reform. Beyond the paywall I’ll address the following: 1. Why markets can’t be trusted to deliver healthcare 2. Routes to universal healthcare 3. What works? In a follow-up post I’ll discuss the pros and cons of different approaches, and possible paths forward for the United States.
Davidson Community Players stage contemporary plays
'The Lifespan of a Fact,' and 'Actually' at Armour Street Theatre
China’s DRAM Suppliers Come To The Rescue As They Ramp Up LPDDR4 Production Shortly After Samsung Abandons Customers
Samsung exclusively moving to LPDDR5 production has given Chinese DRAM makers to pursue LPDDR4 manufacturer to cater to abandoned customers
Corporate Profits Are at Record Highs. These 4 Factors Could Sink Them.
Experts have different theories about what’s driving steep gains. But many agree the window for growth is shrinking.
Starmer rejects calls to quit as pressure mounts over Mandelson vetting
Top Foreign Office official takes fall for fiasco and resigns; Starmer promises to deliver 'relevant facts' on Monday.
Zeldin rebuilds Science Advisory Board
New members include a climate science skeptic and two employees from the chemical manufacturer Chemours.
SGMC Health Welcomes Candito as Supply Chain Director
SGMC Health announced the appointment of John Nicholas Candito as Director of Supply Chain Services, bringing more than two decades of progressive leadership experience across healthcare, manufacturing, and defense industries […]
Jack Schlossberg May in Fact Happen, According to Polls
A new poll showed the Kennedy scion leading the field in the NY-12 race, but a significant number of voters still appeared undecided.
Data Centers and the Small Business Economy: What’s at Stake - Small Business & Entrepreneurship Council
While critics target new development, America’s small businesses have a stake in the facts. By Karen Kerrigan – As demand for artificial intelligence (AI) and digital services grows, opposition to new data center development is growing with it. In many communities, critics are trying to define these projects before the broader public has a chance […]
Acura evaluating future of GTP program
After nine combined seasons of factory racing in IMSA’s DPi and GTP classes, Acura is exploring whether the current season will be its last in the headlining category.
The Science Of Taper As Preparation For Swim Performance
After months of research, Cooper Gill found that taper matters more than most people think, and the biggest factor isn’t fitness, it’s fatigue.
What Happens to Your Body When You Eat the Same Thing Every Day
Eating the same meal daily could support your health goals, but it may also impact nutrient intake, gut health, and meal satisfaction.
The return of power politics to the market: theory and practice of the geoeconomic zeitenwende
Descriptions, explanations, and recommendations regarding foreign policy as well as foreign trade policy increasingly refer to the concept of geoeconomics. In fact, the use of economic and technological measures in foreign policy practice is becoming more frequent and intensive, especially in those countries that have the necessary resources of power at their disposal, such as […]
Xanax XR recalled after discovery that tablets may fail to release medication properly
A batch of Xanax XR has been recalled nationwide after the manufacturer found the drug may not release properly in the body. The FDA classified the issue as moderate risk.
OpenAI's latest Codex update builds the groundwork for its upcoming super app
OpenAI is pushing out a major update to Codex that significantly expands what that software can do, and offers a glimpse of what OpenAI hopes to build with its upcoming super app.
"No Emulation, No Compromise, No Comparison" - The $250 Neo Geo+ AES Aims To Be A 1:1 Replica Of SNK's Classic Console
"Powered by newly manufactured chips based on the originals"
'Laramie Project' and 'Shrek the Musical' come to St. Tammany stages this week
Explore a broad spectrum of shows from fact-based dramas to fantasy musicals in St. Tammany theaters this weekend.
GE Appliances invests $28M in Decatur plant, health clinic
GE Appliances has announced a $28 million investment in new manufacturing technology and a primary care clinic designed to serve employees and their families at its Decatur refrigeration plant. The company says the investment strengthens its Alabama workforce, deepens community ties and supports its broader $3 billion plan to expand U.S. manufacturing over the next five years. GE Appliances has operated in Decatur since 1977, and the company says the site remains its highest-volume refrigeration plant in the country.
SK Life Science, Inc. Launches Epilepsy Connect to Empower Advanced Practice Providers in Epilepsy Care
Key Facts: SK Life Science, Inc. has launched Epilepsy Connect, a new digital platform designed to empower advanced practice providers (APPs) in epilepsy care....
Cancer
WHO fact sheet on cancer providing information on the health burden of different types of cancer, causes, risk factors, prevention, early diagnosis, treatment, palliative care, and WHO's work in this area.
Snail-Borne Diseases in Central Africa: Lessons from Citizen Science
The ATRAP project in the Democratic Republic of Congo and Uganda provides insights to the factors that shape citizen science practice in low- and medium-income countries (LMIC).
America's Open for Business
Just over one year into the second Trump presidency, trillions of dollars have poured into American manufacturing, AI infrastructure, energy, and technology. Treasury Secretary Scott Bessent makes the case for how the administration’s bold trade policy, deregulation, and America First economics are redefining the United States as the world’s premier destination for capital.
Memory Wars: Facts, Disinformation, and the Politics of Remembrance
The 14th European Remembrance Symposium in Bratislava, Slovakia, on 27–29 May 2026, will explore how collective memory is shaped and weaponized in today’s geopolitical climate. Bringing together an illustrious line-up of experts, the event examines disinformation, identity, and the role of historical narratives in modern political conflict.
Trump administration taps automakers to boost weapons production in WWII-style push
The Trump administration is turning to automakers and manufacturers to boost weapons production in a World War II-style Pentagon push, officials say.
How Dangerous Is Anthropic’s New AI Model? Its Chief Science Officer Explains.
Just how fast is the future coming at us, and how worried should we be? Last week, Anthropic announced Claude Mythos, the latest in what has become the leading family of AI models. In a very short time, AI models from Anthropic and other companies have become shockingly powerful at coding. But Mythos stands out because it is not just able to write code that can hack into critical systems, like those that run financial companies, but also to analyze systems and find and string together vulnerabilities in them, allowing Mythos to evade even sophisticated defenses. Anthropic chose to release Mythos to only about 40 leading corporations, so they could analyze the model’s capabilities and prepare countermeasures, in an effort it calls Project Glasswing. The release of Mythos—and the prospect of similarly powerful AIs to follow—has caused tremors at the top levels of Washington and corporate America. Jared Kaplan, co-founder and chief science officer at Anthropic, is at the center of this breakthrough. We sat down with Kaplan so he could walk us through just how powerful Mythos is, what the implications are for issues like our personal privacy, and what comes next. This conversation has been edited for length and clarity. Sean Fischer: For the layman, how is Claude Mythos different—more powerful, more dangerous—from previous models released by Anthropic? Jared Kaplan: I think most people have experienced the fact that our computers get faster and faster over time and over many decades. There’s this very smooth trend where every 18 months, maybe, computer processing power doubles. I think AI is on a trend in which it’s improving maybe 10 times faster than that. A lot of the earliest work that I did in AI was around identifying this scaling trend in AI. Claude Mythos is the latest model from Anthropic, but it’s not different because it’s qualitatively different. It’s really just kind of the culmination of the trend of AI models getting smarter and smarter at all kinds of general capabilities, from reasoning to software engineering to scientific research to knowledge work. For us, it was the first model to demonstrate very elite-level cybersecurity capabilities. It wasn’t because we trained Claude Mythos to focus on cybersecurity, but it was because, as a byproduct of its general intelligence and its general ability with software, it’s particularly good at identifying vulnerabilities in software and how to exploit them.
Small business optimism drops, more owners cautious on spending: NFIB
The National Federation of Independent Business (NFIB) Small Business Optimism Index fell 3 points in March to 95.8, falling below the 52-year average of 98.0. NFIB Research Center executive director Holly Wade breaks down the data and what factors are impacting American small business owners, including price pressures, as uncertainty rises.
3 arrested after shots fired outside Clanton business
Officers responded shortly after 3 p.m. to a report of gunfire outside KMA Manufacturing, according toClanton police.
Springing into science
When people understand science, the whole community benefits. A scientifically literate community is a stronger community – one where people can navigate new technologies, evaluate information and participate in conversations that shape our future. Scientific literacy isn’t about memorizing facts. It’s about understanding how the world works well enough to make thoughtful choices within it. […]
Scientists Stunned: A Giant Sea Creature Still Hides Unseen in the Ocean - Futura-Sciences
The Elusive Ghost of the Depths In the vast expanse of the world’s oceans, some species still manage to escape the all-seeing gaze of humankind. Among these slippery escape artists, one creature in particular consistently evades every scientific effort to observe it. In fact, scientists have never witnessed a single...
Can defense contracts save VW's Osnabrück factory?
Volkswagen's Osnabrück plant is still building cars, but the order book is drying up quickly. As work fades, could a move into defense manufacturing save 2,500 local jobs? So far, the company is staying tight-lipped.
Test your knowledge of local history on The Quest
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South Charleston business named West Virginia Small Businesses Manufacturer of the Year
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Universities Allied for Essential Medicines advocates for affordable health care
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Bird brain: New study finds birdwatching may boost brain health, slow cognitive aging
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Why you never forget how to ride a bike
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"Botany of Nations" on View at The Academy of Natural Sciences Through February 14, 2027
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3 big questions for Tennessee quarterback battle after spring practice
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Michigan group spotlights Black Maternal Health Week and the risks Black women face giving birth
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Nearly 100 Colorado businesses have left or scaled back operations since 2019, report finds
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Chamber of Commerce Presents Achievement Awards
Event also marked 110th of the chamber’s presence in Oswego [caption id=attachment_10469 align=alignright width=450] Abby Waever and Keara Patterson (in the middle) receive the Community Leadership & Legacy Award, presented to The Alberts Group.[/caption] The Greater Oswego-Fulton Chamber of Commerce (GOFCC) on March 4 hosted its 2026 Annual Meeting, presented by Constellation, at the Lake Ontario Event and Conference Center in Oswego. The event’s theme, Rooted in Community. The meeting celebrated the GOFCC’s 110th anniversary in the Oswego community and 10th anniversary of integration with CenterState CEO. The chamber also unveiled a new logo. “I am proud to say the GOFCC has been a force for business success, growth and opportunity, supporting organizations of every size, connecting neighbors and entrepreneurs and ensuring that every voice in Oswego County is heard,” said GOFCC Executive Director Sara Broadwell. The event featured keynote remarks from Novelis’s Kevin Schutt, vice president, manufacturing and production support at Novelis North America. [caption id=attachment_10454 align=alignright width=450] Maria Hudson of Constellation, holding the award, receives the Nancy L. Premo Woman of Distinction Award.[/caption] The GOFCC recognized the following organizations and individuals with achievement awards: • Oswego County Impact & Excellence Award, presented to Oswego County Office of Mobility Management. This award Honors a small business or nonprofit organization that demonstrates outstanding achievement through innovation, growth and measurable positive impact on Oswego County’s economy or quality of life. • Community Leadership & Legacy Award, presented to The Alberts Group. This award recognizes an individual, business or organization whose long-term leadership, investment or philanthropy has significantly advanced the vitality, resilience and future of Oswego County’s communities. • Nancy L. Premo Woman of Distinction Award, presented to Maria Hudson of Constellation. This award honors a woman in business who has made a meaningful impact on her community, inspired others through her leadership, and exemplified the values of service, integrity and empowerment. This award is presented in tribute to the late Nancy Premo, CenterState CEO’s former vice president of Human Resources.
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“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
Early weight gain is linked to lifelong health consequences
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Early weight gain is linked to lifelong health consequences
Putting on weight earlier in life may be more dangerous than previously thought. Researchers found that early adulthood obesity significantly raises the risk of premature death, especially from major diseases like heart disease and diabetes. The longer the body carries excess weight, the greater the damage appears to be. Interestingly, cancer risk in women didn’t follow this pattern, suggesting other biological factors are at play.
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These auto brands are still rolling after 100 years in business
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Scientists Are Turning Bread into Fuel. It Could Revolutionize Manufacturing.
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