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Why doctors are applauding this TV show's health plot line for women
Amanda Peet has praised "Your Friends & Neighbors" creator for including this storyline, especially since she’s also in perimenopause.
Life-threatening virus that causes vomiting and diarrhea at high levels in the U.S., CDC says
Rotavirus is highly contagious, fast-moving and especially dangerous for babies and young children. Doctors worry declining vaccination rates could lead to more hospitalizations.
Cal Poly Humboldt to Launch Health & Medical Sciences Degree
The United States is facing a shortage of healthcare workers, a problem especially prevalent in rural regions like the North Coast.
Cannabis stores on State Street face a hazy future
Stores selling hemp-derived THC products have proliferated, especially on State Street. A change in federal legislation means their future is uncertain.
Interpro against Leinster 'a spicy one'
Ulster back Zac Ward says there is an added edge to home Irish interprovincial derbies, especially against Leinster.
Diarrhea-causing infection increasing in US, CDC says
Officials called the increase "a public health threat," especially since shigella is spread easily from person to person.
Online Sports Betting Is Fueling Financial Risk in Florida
Experts warn that permissive policies and app-based betting are accelerating addiction, especially among young men.
Wall Street still loves streaming, but are its affections well placed?
While streaming continues to drive media stocks, especially around quarterly earnings, it's not clear when it will start driving profits for smaller players.
Bill Foley downplays Lorient-Bournemouth multi-club fears
Multi-club ownership is very much in fashion, especially in Ligue 1. It isn’t a phenomenon without resistance, however. A section of RC Strasbourg Alsace’s fanbase are veciferous in their oppositi...
Belton 'Business Park' proposal draws neighbor pushback on warehouse development
Communities in Cass County, Missouri are changing each week, especially in Belton with new development projects popping up.
In VfB masterclass: why Mittelstädt just let fly
In VfB Stuttgart’s impressive performance against Hamburger SV, Maximilian Mittelstädt was especially in the spotlight. The left-back not only delivered a flawless defensive display in the Swabians...
Analysis: Rogers still has more to prove
Morgan Rogers is attracting a lot of attention and the growing expectation is he will leave Aston Villa in the summer. Villa will likely need to sell a star player, regardless of whether they qualify for the Champions League, and Rogers is their best asset - especially with Boubacar Kamara out injured. An impressive World Cup would also strengthen Villa's hand but the England forward needs to show more of a clinical nature throughout the pitch.
Park inequality in Southern California creates health risks, especially during the heat
Park-wise, the region has long been a land of haves and have nots. But a new study from researchers at UC Irvine and Chapman University shows that not all parks are created equal.
Bruce Ledewitz: Our politics is a world of unreason
We live in an age of political unreason. Unless we are learn to think more reasonably, especially rejecting our own side’s partisan lies, America...
ON THE JOB: “What is the Best Business Advice You’ve Ever Received?
Interviews by Deborah Jeanne Sergeant Sound advice can contribute to your success. We recently asked area business leaders, what was their best advice they’d ever received. Here’s what they said: “The best advice I ever received was from my then –boss, Gerry Church, Fulton plant manager at Miller Brewing Co. He told me that whenever I wanted to discuss a business problem or issue with him, I should also be prepared to offer possible solutions. It’s the difference between being proactive or reactive. It’s also the difference between being a leader or follower. That has served me well in any business relationship I have had since then.” — Stephen Chirello, Owner, Steve Chirello Advertising, Fulton “Someone will always do it for less; they will also take the most effort to service or satisfy and leave you for the next lower price.” — John M. Henry, Owner, Speedway Press, Mitchell Printing, Phoenix Press, Oswego “I’m going to answer this question by turning it around and giving my own advice that is, ‘Always treat every customer as if they were your only customer!’ We are celebrating our 50th anniversary in business this year. We started our business on March 25, 1976. My advice works.”” — Nick Chervinsky, President, Brewerton Pharmacy, Brewerton “’You need to toot your own horn, my grandfather, Howard D. Dice, told me.” — Beth Ann Dice, Women’s active aging and cancer recovery coach, Mission Movement Wellness Studio & Breast Cancer Recovery Studio, Fulton “In the micro enterprise class, they taught, ‘Get a good lawyer, accountant and bank.’ That was over 30 years ago and I still have those three today. I chose good people I could grow with.” — Tony Pauldine, Owner, Anthony M. Pauldine General Contractors Inc., Oswego “From my grandfather; ‘Listen to everyone! You never know where you will get the solution you need.’” — Kevin Dean, Executive director, Oswego County Opportunities, Fulton “‘Preparation is the mother of success.’ My dad always drilled that into my head growing up, and it has helped me avoid a lot of snags in both my personal and professional life. Thanks, Dad!” — Bekkah Frisch, Owner and president, iHeart Holdings, Inc., Fulton “If you don’t take a risk and try, you will never know.” — Justin Taber, Owner, Torbitt’s Service Center, Oswego “Be ready to take a loss.” — Cody Seymour, Manager, Damiano’s Eatery, Mexico “I’ve received so much good business advice over the years. When people are giving you advice, always be curious rather than judgmental. Follow your gut. Doing the right thing is never the wrong thing.” — Dana Decker, Principal owner/broker, Berkshire Hathaway Home Services, Oswego ’Do it and figure it out later.’ It hasn’t failed me yet. Too many people take time to think about doing this and this and this and then the opportunity is over with. If it’s somewhat reasonable — if it’s not something outrageous — do it and figure it out later.” — Jeremy Allen, Licensed real estate salesperson, Acropolis Realty Group, Syracuse “’Try to meet the needs of the customer. Treat them like you’d like to be treated.’ It’s like the Golden Rule says.” — Douglas Dickson, Physician and associate at CNY Foot Surgery and Podiatry Care, East Syracuse “The best piece of business advice I’ve ever received applies to life in general: always be honest. Never overstate your capabilities and always be willing to ask questions. The more specific you can be in any given topic will always lead to a better outcome.” — Tom Fernandez, President, Woodbine Hospitality, Syracuse “As a business owner, the advice would be ‘Don’t overextend yourself. Especially in agriculture, expect issues to come up.’ If something is going right, it’s not true agriculture. This last season, we scaled very hard to field another crew. We got more drones, crew and generators based on projections. This last season hit the ag community hard with a very wet spring. We did 15,000 to 20,000 acres for fungicide and the same for cover crop seeding in 2024. We scaled to 25,000 to 30,000 for 2025. We ended up doing 2,000 for fungicide and 3,000 for cover crop seeding. That’s why that advice was good.” — Rick Jordan, Operations manager, CNY Drove Services, Clinton “’Keep your head down, mind your own business and do the best for your clients that you can do.’ It has a lot to do with my success in working for Galloway Century 21.” — Ed Fayette, New York state licensed real estate agent, Century 21 Galloway, Oswego “’Expand in all ways, always.’ It just keeps you going and keeps you growing.” — Stephen Baier, Licensed real estate person, The Real Estate Agency & Bouck Commercial, Auburn “The best advice is, ‘Your biggest asset you won’t see on the books because it comes from your employees.’” — David Flickinger, Owner, Edible Arrangements, Syracuse “Don’t take things personally when you’re working with the public.” — Leeann Desimone, Manager, Annie’s Hallmark Shop, Auburn “‘Follow up.’ The customer knows that you care about what you are doing and that their opinion counts. Sometimes they might be on the fence about whether they want to use your company. If they’re asking your opinion on things, they feel you are concerned about what you’re doing. They like to be kept in the loop if they’re spending money with you.” — Dorothy Casper, Saslesperson, SweetWoods Memorials, Phoenix “The best business advice I received is ‘Never be the smartest person in the room. Surround yourself with people who are smarter than you.’ That’s how you learn.” — Debbie Bilello, Owner, Virtual Office Solutions, Central Square “’You need to grow your business but you can’t grow too big too fast.’ That’s what we’ve done at Pinnacle Maintenance. We’ve tried to grow but not too fast. Along those same lines, there’s another good piece of advice, ‘Don’t take on more than you can handle because it only leads to a bad name for your business and a bad experience for your customers.’ It goes along the same lines as growing your business slowly and carefully.” — David Wines, Owner, Pinnacle Maintenance, Central Square “Always be on time and do what you say you are going to do.’ I’ve done very well following that advice. Most of my work is referral and I don’t really do any advertising so I have a pretty good customer base. It’s mostly word-of-mouth from satisfied customers.” — Robert J. Fleming, Owner, Bob Fleming Windows & Doors, Brewerton “’Concentrate on your finances, always pay your taxes, and form a team you can depend on. Try to help the community you’re in as much as you can.’ We do all of these all the time here. We give and give and give to the community and the community gives back to us always.” — Susan Bonnet, Co-owner, Bonnet Sales and Service, Central Square “Keep smiling. It brings a positive attitude to the workplace.” — Karin Lindsley, Vice president, DTS Truck Service, Syracuse “‘Customer service above all.’ Following this advice has served us very well.’ — Guy Fox, Owner, Fox’s Discount Parts, West Monroe “The best thing to do is to make sure you’re taking in more money than you’re spending. I wish I could say I’m a good businessman but I have been in business since 1981. I’m not a bean counter but work well with my hands and its’s served me well all these years and I am still in business.” — Matt McGill, Owner, Matt McGill Collision, Brewerton
“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.
High school sports a big focus
Sports reporter Brian Calloway is among the busiest people at the LSJ almost anytime of the year. That's especially true this time of year.
High school sports a big focus
Sports reporter Brian Calloway is among the busiest people at the LSJ almost anytime of the year. That's especially true this time of year.
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.
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.
Q4 Rundown: Caesars Entertainment (NASDAQ:CZR) Vs Other Consumer Discretionary
Quarterly earnings results are a good time to check in on a company’s progress, especially compared to its peers in the same sector. Today we are looking at Caesars Entertainment (NASDAQ:CZR) and the best and worst performers in the consumer discretionary - casino operator industry.
Q4 Rundown: Caesars Entertainment (NASDAQ:CZR) Vs Other Consumer Discretionary
Quarterly earnings results are a good time to check in on a company’s progress, especially compared to its peers in the same sector. Today we are looking at ...
Trump to discuss leaving NATO in meeting with alliance’s leader, White House says
The president, long a NATO skeptic, has been especially angry at alliance members in recent weeks for declining to take part in the U.S.-Israeli war on Iran.
RFK Jr. launching podcast in ‘transparency’ push
Health and Human Services Secretary Robert F. Kennedy Jr. is launching a podcast that, in his words, will focus on “telling the truth, especially when it’s uncomfortable” and R…
Viewpoint: FP10 should remain open, excellent and secure
Europe is right to worry about research security. Foreign interference is real. So is the misuse of sensitive knowledge. Universities working in sensitive areas such as AI, quantum, semiconductors and advanced materials cannot afford to ignore the geopolitical environment around them.But Europe is in danger of drawing the wrong conclusion, one that would increase, not reduce, its strategic vulnerabilities.If the EU applies an “EU preference” logic to the next Framework Programme for research and innovation (FP10), it will weaken one of its greatest strategic assets: a research system built on openness, excellence and international collaboration. In the name of security, Europe could end up advancing science more slowly, innovating less effectively and making itself less attractive to global talent and partners in advanced science and technology.That would be a serious mistake.The EU preference included in Article 10 of the proposed European Competitiveness Fund may make sense in some industrial or deployment contexts, but is far harder to justify when applied to collaborative research in advanced science and technology, where excellence and global connectivity are crucial. Research is not procurement. It does not thrive when isolated. It advances through access to the best ideas, the best people, the best facilities and the best data, wherever they are found. This is why FP10 should not simply absorb industrial policy logic by default. Doing so would risk importing instruments that are ill-suited to research and that ultimately increase vulnerability rather than resilience.For universities of science and technology, the issue is especially acute. These institutions sit at the frontier of knowledge and technology creation in the very fields Europe sees as critical for its future competitiveness and resilience. They know better than most that security risks are real. But they also know that openness and security are not opposites. In practice, they have to be made to work together. Research security is not about closing doors. It is about building resilience through collective responsibility, trust, proportionate safeguards and better governance. That is a fundamentally different approach from default restriction.The risks of non-collaborationThe real danger in the current debate is that Europe talks too much about the risks of collaboration and not enough about the risks of non-collaboration. Those risks are strategic too. Cut researchers off from international networks and Europe loses access to knowledge, data, infrastructures and talent. Slow down global collaboration in critical technologies and Europe slows down its own progress on cutting-edge science. Make participation rules unpredictable and Europe weakens its attractiveness to researchers and investors alike.In other words, over-restricting collaboration will create strategic vulnerabilities, particularly in advanced science and technologies.This point is often underestimated in policy discussions that frame openness mainly as a value to be defended. Europe’s scientific strength, technological development and long-term competitiveness depend on remaining connected to the best research ecosystems in the world. For a continent that wants to accelerate deep tech, strengthen industrial capacity and reduce strategic dependencies, weakening the excellence base would be self-defeating. That does not mean ignoring risk. Quite the opposite. Universities are already strengthening due diligence, internal governance, awareness-raising, screening procedures and compliance support. Across Europe, institutions are working to manage risks linked to foreign interference, sanctions, export controls and the misuse of research. The right response is not complacency. It is better risk management. But that means targeted, evidence-based and proportionate measures, not blunt top-down restrictions with wide spillover effects. In the daily reality of universities, openness and restriction often coexist. The real challenge is how to apply safeguards without sliding into securitisation that damages academic freedom, open science and international cooperation. Restrict partners, not nationsMore restrictive treatment of collaborators from European Economic Area members Iceland, Liechtenstein and Norway, or from Switzerland and the UK, is strategically very difficult to justify. These are deeply embedded partners in Europe’s research and innovation ecosystem. Beyond that, Europe should still resist default exclusion and instead rely on case-by-case assessment. The relevant question is not nationality in the abstract. It is the actual risk profile of a collaboration: the institution, the affiliations, the field, the knowledge involved, the intended use and the safeguards available. Screening should focus on institutions and affiliations rather than nationality alone. Related articlesParliament ‘misreads’ link between Horizon Europe and ECF, Commission official saysFrustration grows at governance gap in next Horizon EuropeIf EU preference logic is imported into research without careful calibration, the likely result is a chilling effect. Researchers may step back from legitimate and beneficial collaboration, even where risks are manageable. International partners may see Europe as less predictable. And Europe may end up undermining the very excellence base it needs to compete, scale up and lead in strategic technologies, thereby increasing its dependence on others.FP10 should do the opposite. It should remain open by default, with restrictions used only exceptionally, and then on the basis of clear evidence. It should integrate research security into open science and research integrity frameworks, not set them against each other. And it should recognise that academic freedom, scientific excellence and responsible international collaboration are not obstacles to Europe’s security, they are part of it. Europe needs stronger tools to protect itself. But it also needs the discipline to avoid measures that would weaken it and increase its strategic vulnerabilities in the process. In FP10, that means staying open, excellent and secure.Louise Drogoul is senior advisor for innovation and sustainability at the Cesaer university association.
Health improving in Jefferson County, but mental health stands out
Jefferson County sees health gains, but mental health—especially among youth—remains a top concern, officials say.
The Boundless Deep: Young Tennyson, Science, and the Crisis of Belief by Richard Holmes
Pantheon Review by Walter Cummins The image of Alfred Tennyson I’ve carried for decades goes back to the childhood card game of Authors that depicts him with a stately continence sharpened by a jutting black beard. He’s formidable, his aura superior. Holmes opens his biography of the youthful Tennyson by describing the similar formality of the imposing Tennyson statue at Trinty College Cambridge, sharing the honor with other Trinity greats, including Isaac Newton, Francis Bacon, and Thomas Babington Macaulay. Holmes doesn’t want to chip away at that statue but rather reveal its inner youthful core of the man—tall, handsome, and talented but unformed, emerging from a disturbed family of addicted or insane male siblings and four unusual sisters struggling under a violent alcoholic clergyman father. Alfred was certainly statuesque, but would he end up a block of unformed stone like his equally promising brothers? He was youngest of three equally regarded Tennyson brothers at Cambridge, all bright, handsome, and talented, in fact Alfred regarded by some as less promising than his elders who also wrote poetry. Yet Alfred wrote one of his major poems, “The Kraken,” at twenty, revealing both his talent, his interest in geological forces, and the haunting creature that embodied his anxieties. While Holmes focuses on Tennyson of the 1830s and 1840s, he can’t tell his story without exploring his involvement with the Victorian intellectual upheaval. Tennyson was fascinated by new scientific perspectives, following the latest findings as soon as books and articles were published. He was especially taken with Charles Lyell’s deep studies of geology and the discovery of fossils and a timeline of the planet’s development that did much to question fundamental religious assumptions. The impact of these discoveries is reflected in Tennyson’s poetry and led to the crisis in belief he shared with so many contemporaries. He was especially taken by the cycles of destruction and renewal that informed the struggles he confronted in In Memoriam, Maud, and Idylls of the King. Tennyson was only one of the eventual major figures at Cambridge at the same time, young men just beginning to realize their potential. Charles Darwin was at Christ College, although there is no evidence that he and Tennyson even met as students or later in life. Yet evolution became significant in Tennyson’s thinking and the issues of his poetry. One of Tennyson’s best and most important Cambridge friends was Edward FitzGerald, who became the translator of The Rubáiyát of Omar Khayyám and in their on and off relationship served as Tennyson’s harshest critic. FitzGerald was also a friend of the novelist William Makepeace Thackeray, the two of them partying in Paris as undergraduates. That connection led to a friendship between Thackeray and Tennyson. Others who came to play significant roles in Tennyson’s life were Thomas Carlyle, the Brownings, and the Pre-Raphaelites. Tennyson’s deepest friend at college was Arthur Hallam, who at twenty wrote a glowing review of Tennyson’s first poetry collection, travelled on European adventures with him, and fell in love with his sister Emily. Hallam was also regarded as one more very promising Cambridge student. His sudden death at twenty-two in Vienna from a stroke while travelling with his father devastated many friends, but perhaps Tennyson most of all. He did not write immediate poems of grief but took years to compile those collected in In Memoriam A.H.H., published in 1850, almost twenty years after Hallam’s death For all of Tennyson’s early poetic successes and successes, Holmes reveals him as an often troubled young man suffering periods of depression, fearing planetary upheaval, concerned about supporting himself, disappointed in romances, and worried that he would inherit the family’s mental illness tendencies. Yet despite his seeming withdrawals, he was always writing poetry that he kept private and would not let go, constantly revising. 1850 became a transformative year for Tennyson. He finally consented to publishing In Memoriam with a last-minute prologue that acknowledged God and perhaps convinced the religious Emily Sellwood to marry him after years of pursuit.. He opened up to Emily, revealing his struggles with fears of depression and “weird seizures.” The devastating event of that time was the stillborn death of his unnamed first son. It shook him, but Emily’s faith brought them closer and convinced him to believe in an afterlife. Two later sons survived. With the death of William Wordworth in April of 1950, Tennyson was named poet laureate at age forty-one, reluctantly accepting. It’s as if Tennyson’s life split in half in that year. He lived another forty years, now a recognized success, with the prestige of being an official poet writing patriotic verse, wealthy and revered, no longer the insecure young man seeking an outlet for his immense talent. He earned a place in the Authors deck, now dignified and in 1884 elevated to the peerage as Arthur, Lord Tennyson. Richard Holmes is the author of twenty previous books on the Romantics and Victorians, several of which received awards. The Boundless Deep was shortlisted for the 2025 Baillie Gifford Prize for Non-Fiction. He captures the complex vicissitudes of Tennyson’s youth, illustrated by frequent excerpts from the poetry, placing that life in the full context of the shattering discoveries that led to an upheaval of thought in the Victorian age.
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MAGA Is Winning Its War Against U.S. Science
Source: NBER With all the other terrible news right now, you may not have noticed that Donald Trump is in the process of killing American science. OK, that’s an exaggeration — but not that much of an exaggeration. The Trump administration’s latest budget proposal calls for a gigantic increase in military spending combined with severe cuts to social programs. But as the chart above shows, it also calls for debilitating reductions in research funding. Furthermore, Trump appointees have already been strangling science by sharply reducing the rate at which research grants are approved. Here, for example, is the number of new grants approved by the National Science Foundation: Source: Nature Large numbers of existing grants have also been frozen or terminated, especially in the study of infectious diseases. Add to this a sharp drop in visas issued to foreign students, who often play a direct role in research and who help support academic departments that do research: Put all of this together, and much U.S. scientific research is set to come to a screeching halt — not a few years from now, but over the course of the next year or two. This new assault on U.S. science is taking place at a time when the role of American science in the world has already been greatly eroded. The chart below, based on research recently reported by the National Bureau of Economic Research, measures national strength in science by the share of publications in highly ranked journals. In the 1990s the United States had more such publications than the rest of the world combined. Since then we’ve dropped into third place — well behind China and slightly below the European Union. And this was before the Trump administration’s attack on science had time to take its full effect. Source Some erosion in U.S. scientific preeminence was inevitable given China’s growing sophistication and wealth. But we’ve also fallen behind Europe, even though everyone says that Europe is lagging economically and technologically. Claims about Europe’s underperformance are, in fact, dubious if one looks hard at the data. But it’s still striking to see America lagging. What’s going on? There are presumably multiple factors behind America’s scientific lag. But even before Trump II the growing hostility of the U.S. right to science surely had some negative effect. And since the rise of MAGA G.O.P. attitudes toward science in general have become overwhelmingly hostile. This is true even for the Republican rank and file: And while I haven’t been able to find good survey data, it’s obvious that the anti-science turn has been even more pronounced — and began earlier — among the Republican political elite. Chris Mooney published The Republican War on Science in 2005, and even then was describing a longstanding trend. Why have Republicans turned so anti-science? Part of the answer is that they believe that scientists don’t support them. And they’re right! A study of who scientists give money to shows that only a small percentage gave money to Republicans even 20 years ago, and that almost none of them donate to Republicans now: Social scientists have always been strongly pro-Democratic, while there used to be a significant number of physical, “hard” scientists supporting the GOP. But these days physicists are almost as uniformly Democratic, or at least non-Republican, as sociologists. Why are there almost no Republican scientists? It’s not a mystery. GOP political orthodoxy includes positions that are at odds with the scientific consensus on multiple issues, ranging from the validity of the theory of evolution, to the reality of climate change, to the efficacy and safety of vaccines. In each case the scientific consensus is solidly grounded in evidence. But even before the rise of MAGA the U.S. right was increasingly hostile to evidence-based policymaking — especially, of course, where the evidence is unfavorable to fossil fuel interests or quack medicine, both financial mainstays of right-wing politics. So scientists don’t support Republicans, and the feeling is mutual. Today’s Republican Party doesn’t like science or scientists. It doesn’t like having its preconceived views challenged by appeals to evidence. It knows that very few scientists are on its side electorally. In general, it sees scientific research as a threat to its grasp on political power. Add in MAGA’s combination of rabid anti-intellectualism and allergy to any hint of criticism, and one has the makings of a drastic anti-science turn in policy. “Ignorance is strength” might was well be an official MAGA motto. And as I said, we aren’t talking about something that will happen over the course of multiple years: The U.S. scientific enterprise is threatened with severe damage, even collapse, over just the next year. There are many reasons to find this prospect horrifying: Think of all the beneficial advances, affecting almost every part of life, that won’t happen because U.S. science — still crucial to the world — has been eviscerated. But think, also, of America’s international standing. Can a nation that has forfeited its role as a leader, or even a contender, in global science, still be a Great Power? No. MUSICAL CODA
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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Dodgers Dominate MLB When it Comes to Bobbleheads
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Coffee at night may increase risky behavior, especially in women
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Navigating the social media minefield
Scientists and researchers seeking to announce promising findings, exchange ideas or contribute to policy discussions outside of academic circles may find social media an expedient tool.But increasingly, scientists and other professionals are discovering that online platforms can be a double-edged sword: while sharing their work and expertise is crucial for visibility and meeting funder expectations, it also exposes them to baseless criticism and even accusations of spreading false information."It is getting harder and harder for scientists, and researchers in general, to convey their findings without facing attacks on their legitimacy and accuracy of their research," says Valère Ndior, a professor of public law at the University of Western Brittany in Brest, France, who has spent more than a decade studying misinformation on social media. Researchers attempting to challenge deceptive online information may themselves be accused of political bias or not being objective in their research, he explains, adding that some scientists disengage because they feel overwhelmed and unable to sustain meaningful dialogue. "It is quite sad to see in some instances that researchers end up leaving social media altogether because they feel like the pressure is getting too intense or feel threatened," he says.Ndior, a past president of the Francophone Network of International Law, is also involved in European efforts to make science and research findings more accessible to the public. As an ambassador for the Science Comes to Town (SCTT) project, he has participated in recent discussions on public perceptions of science and online misinformation. The European Commission-funded initiative connects Brest and two other cities — Kiel in Germany and Split in Croatia — and aims to strengthen ties between communities, universities and research institutions to promote science awareness and cooperation across Europe.Coordinated campaigns around contentious topicsNdior draws a clear distinction between critical thinking and thoughtless criticism. Yet he sees online discussions being increasingly shaped by suspicious behaviour and coordinated information campaigns — including "raids" aimed at dominating discussions and "astroturfing," where small groups act as larger movements to sway debates. Tracking these patterns has become harder because some platforms have restricted data or charge for it, despite provisions of the European Union's Digital Securities Act aimed at ensuring researchers can have access to such data. According to Ndior, "platforms became more reluctant from the moment access to data became a legal requirement rather than a voluntary initiative."Unfounded claims and scepticism about science existed long before Internet chat groups. But the noticeable rise in online hostility has intensified around contentious topics, such as the coronavirus pandemic and climate change, alongside the weakening of gatekeepers to moderate content.For Ndior, dubious claims about pandemic countermeasures and vaccine safety highlighted the struggle between "balancing freedom of expression and the protection of public health and order." Efforts to remove social media content deemed false or risky for public health triggered accusations of censorship and the silencing of legitimate discussion, and in some cases, legal challenges.Concerns about attacks on the credibility of scientists and researchers have generated a flurry of academic papers in recent years and prompted professional communities to address ways to counter online attacks. Such unease extends to the generation that has grown up with digital media. Ndior points out that his students, some of whom research artificial intelligence regulation, hate speech, online surveillance and other controversial topics, hesitate to share their work or viewpoints online. "Many of them don't want to expose themselves too much because they don't feel ready to be faced with the backlash of other people criticising their research," he explains.Safer harbours for engagementLegal challenges against false or defamatory posts are not necessarily a solution — especially given the trans-jurisdictional nature of the Internet. Lawsuits also take time and money, and if they fail, can be counterproductive. Instead, Ndior advises scientists and researchers to be selective in how and where they communicate. Professional online platforms and moderated discussion spaces offer a better environment for engagement. He also highlights the value of more traditional formats, such as radio interviews and in-person discussions at schools, libraries and science fairs, which encourage dialogue with the public. "Personal contact makes a big difference," he says, while acknowledging that these approaches lack the global reach of social media.Ndior’s interest in digital law and online misinformation stems from his time as a doctoral student in international law in the early days of social media. He began analysing posts from governments and heads of state to determine if they could be considered official and thus used as evidence in litigation. His work attracted media attention and led to conference and speaking invitations. "This was not part of my plan," he says, "but this is what happens as a researcher — your interest is sparked by a certain event or phenomenon, and it suddenly becomes your focus."Ndior believes SCTT provides "a double benefit" for researchers, enabling them to connect with peers and interact with the public. "There is a wide community of people who are not in academia who are critical thinkers looking for opportunities to ask questions, to get information and contribute their ideas,” he says. "I really value that kind of feedback."Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
Just a few minutes of effort could lower your risk of 8 major diseases
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Navigating the social media minefield
Scientists and researchers seeking to announce promising findings, exchange ideas or contribute to policy discussions outside of academic circles may find social media an expedient tool.But increasingly, scientists and other professionals are discovering that online platforms can be a double-edged sword: while sharing their work and expertise is crucial for visibility and meeting funder expectations, it also exposes them to baseless criticism and even accusations of spreading false information."It is getting harder and harder for scientists, and researchers in general, to convey their findings without facing attacks on their legitimacy and accuracy of their research," says Valère Ndior, a professor of public law at the University of Western Brittany in Brest, France, who has spent more than a decade studying misinformation on social media. Researchers attempting to challenge deceptive online information may themselves be accused of political bias or not being objective in their research, he explains, adding that some scientists disengage because they feel overwhelmed and unable to sustain meaningful dialogue. "It is quite sad to see in some instances that researchers end up leaving social media altogether because they feel like the pressure is getting too intense or feel threatened," he says.Ndior, a past president of the Francophone Network of International Law, is also involved in European efforts to make science and research findings more accessible to the public. As an ambassador for the Science Comes to Town (SCTT) project, he has participated in recent discussions on public perceptions of science and online misinformation. The European Commission-funded initiative connects Brest and two other cities — Kiel in Germany and Split in Croatia — and aims to strengthen ties between communities, universities and research institutions to promote science awareness and cooperation across Europe.Coordinated campaigns around contentious topicsNdior draws a clear distinction between critical thinking and thoughtless criticism. Yet he sees online discussions being increasingly shaped by suspicious behaviour and coordinated information campaigns — including "raids" aimed at dominating discussions and "astroturfing," where small groups act as larger movements to sway debates. Tracking these patterns has become harder because some platforms have restricted data or charge for it, despite provisions of the European Union's Digital Securities Act aimed at ensuring researchers can have access to such data. According to Ndior, "platforms became more reluctant from the moment access to data became a legal requirement rather than a voluntary initiative."Unfounded claims and scepticism about science existed long before Internet chat groups. But the noticeable rise in online hostility has intensified around contentious topics, such as the coronavirus pandemic and climate change, alongside the weakening of gatekeepers to moderate content.For Ndior, dubious claims about pandemic countermeasures and vaccine safety highlighted the struggle between "balancing freedom of expression and the protection of public health and order." Efforts to remove social media content deemed false or risky for public health triggered accusations of censorship and the silencing of legitimate discussion, and in some cases, legal challenges.Concerns about attacks on the credibility of scientists and researchers have generated a flurry of academic papers in recent years and prompted professional communities to address ways to counter online attacks. Such unease extends to the generation that has grown up with digital media. Ndior points out that his students, some of whom research artificial intelligence regulation, hate speech, online surveillance and other controversial topics, hesitate to share their work or viewpoints online. "Many of them don't want to expose themselves too much because they don't feel ready to be faced with the backlash of other people criticising their research," he explains.Safer harbours for engagementLegal challenges against false or defamatory posts are not necessarily a solution — especially given the trans-jurisdictional nature of the Internet. Lawsuits also take time and money, and if they fail, can be counterproductive. Instead, Ndior advises scientists and researchers to be selective in how and where they communicate. Professional online platforms and moderated discussion spaces offer a better environment for engagement. He also highlights the value of more traditional formats, such as radio interviews and in-person discussions at schools, libraries and science fairs, which encourage dialogue with the public. "Personal contact makes a big difference," he says, while acknowledging that these approaches lack the global reach of social media.Ndior’s interest in digital law and online misinformation stems from his time as a doctoral student in international law in the early days of social media. He began analysing posts from governments and heads of state to determine if they could be considered official and thus used as evidence in litigation. His work attracted media attention and led to conference and speaking invitations. "This was not part of my plan," he says, "but this is what happens as a researcher — your interest is sparked by a certain event or phenomenon, and it suddenly becomes your focus."Ndior believes SCTT provides "a double benefit" for researchers, enabling them to connect with peers and interact with the public. "There is a wide community of people who are not in academia who are critical thinkers looking for opportunities to ask questions, to get information and contribute their ideas,” he says. "I really value that kind of feedback."Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
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Quarterly earnings results are a good time to check in on a company’s progress, especially compared to its peers in the same sector. Today we are looking at Golden Entertainment (NASDAQ:GDEN) and the best and worst performers in the consumer discretionary - casino operator industry.
As sports betting booms in North Carolina, so do gambling problems
Two years after North Carolina legalized mobile sports betting, counselors say they are seeing the fallout: drained bank accounts, strained relationships and young people — especially young men — spiraling into anxiety and depression after losing more than they can afford.
How a Healthy Mind-Set Influences Longevity
A few qualities, including a sense of purpose, seem to have real benefits — especially as you age.
Warriors’ dream seeding, matchup scenarios for 2026 NBA Playoffs
The Warriors' season has not gone according to plan at all, but all hope is not yet lost, especially once Stephen Curry returns from injury.
Glyphosate: A story of science, risk, and nuance
In the summer of 2014, a California groundskeeper named Dewayne Johnson started noticing patches of raw, weeping skin spreading across his body. He had spent years applying Roundup, Monsanto’s glyphosate-based herbicide, for a school district, sometimes drenched in it when equipment malfunctioned. By 2014, he had a diagnosis: non-Hodgkin’s lymphoma. In 2018, a jury awarded him $289 million in damages, later reduced on appeal. Tens of thousands of lawsuits followed. The story hasn’t quieted down. It’s all over the internet, swinging between “this will kill you, buy organic” and “relax, you’re fear-mongering.” Some of that recent chatter stems from an Executive Order protecting glyphosate and its production, which set off intense infighting within the MAHA movement. Some of it reflects a deeper truth: Americans genuinely care about harmful chemicals in their environment (see poll below). And the conversation isn’t going anywhere, with a Supreme Court case involving Monsanto set for this April. Glyphosate (the active ingredient in Roundup) is one of the most widely used herbicides in the world. But does glyphosate cause cancer? And how much exposure is actually risky? With so much mistrust in institutions and corporations (and some genuine conflicts of interest), making sense of the actual scientific evidence is genuinely hard. Here is a translation of what the scientific evidence actually says. Does glyphosate cause harm? Glyphosate is an herbicide that kills most plants it contacts rather than targeting specific species. It works by blocking an enzyme pathway (EPSPS) that plants and many microorganisms need to produce essential amino acids. Without those amino acids, the plant can’t grow and dies. Glyphosate was first developed by Monsanto in the 1970s and became ubiquitous after the company introduced “Roundup Ready” crops in the 1990s. In 2024, Bayer removed glyphosate from residential Roundup-branded products due to litigation pressure. But today it is still the most widely used herbicide in the world. Farmers also discovered they could spray it directly on crops like oats, lentils, beans, and peas just before harvest to dry them out faster and make harvesting easier. Because of its widespread use, it’s obviously really important to understand if it’s harmful to humans. The key principle: The dose makes the poison The most important concept in toxicology is that “the dose makes the poison.” Sixteenth-century physician Paracelsus articulated what remains the foundational principle of toxicology: sola dosis facit venenum. Water will kill you if you drink enough of it. Aspirin saves lives at 81 milligrams and causes internal bleeding at higher chronic doses. So, at what dose is glyphosate poisonous? The LD50 in rats (the dose that kills half the test animals) is around 5,600 mg/kg body weight. Table salt is roughly 3,000 mg/kg. By that classic measure, glyphosate is less acutely toxic than salt. But some people are exposed to a lot of glyphosate through their work. And among the general public, there are many questions about low-dose, cumulative exposure from multiple sources over long periods. Does glyphosate cause health problems? Cancer Correlation maps are striking, with one analysis finding that 60% of counties that spray the most glyphosate have non-Hodgkin’s lymphoma rates above the national average. But correlation alone doesn’t establish cause, which is why animal and human studies matter. In animals: Rat studies are typically what most fear is rooted in, but most people don’t know the study details on the dosage given to rats. A pooled analysis of the 13 most rigorous rat studies found evidence that very high doses, around 55,000 times greater than typical food residue exposure, can cause certain cancers. In humans: One of the strongest studies followed 55,000 herbicide users over 20 years and found no overall increased cancer risk. There was one signal: among those with the highest use, rates of acute myeloid leukemia (AML) appeared elevated. A broader meta-analysis of 18 human studies also found no overall cancer risk, though a separate meta-analysis focused specifically on non-Hodgkin lymphoma found that people with high cumulative glyphosate exposure faced a 41% higher relative risk compared to those with low or no exposure. These human studies are observational studies (randomized controlled trials would be unethical), and meta-analyses are only as reliable as the studies they pool. But the story seems consistent: at very high exposure levels, there may be some cancer risk. But that’s about as far as the science currently takes us. Emerging research: gut and reproductive health Gut: Because glyphosate targets a pathway that exists in some gut bacteria, scientists have questioned whether it could affect the microbiome. In mice, a 2023 University of Iowa study found that glyphosate altered gut bacterial composition and raised markers of intestinal inflammation. A 2024 systematic review found similar patterns: disrupted gut bacteria and problems with the mucus layer that protects the intestinal wall in mice. Whether this translates to humans is an open question. The human gut is highly variable and resistant, and we don't yet have strong studies confirming the same effects in people. Reproductive health: Animal studies have found that glyphosate-based herbicides can interfere with reproductive hormones, including disrupting egg cell development in mice and reducing the number of eggs available in sheep’s ovaries. However, the doses used in these experiments were high, so it’s not yet clear whether the same effects would occur in humans. On the human side, a 2021 pilot study led by Mount Sinai researchers tested urine samples from pregnant women across the U.S. and found glyphosate in 95% of them. The study also found a possible connection between higher glyphosate exposure during pregnancy and a subtle physical difference measured in female newborns. That said, some connections weren’t statistically reliable and this was a small study. The researchers themselves said more and larger studies are needed before drawing firm conclusions. What do regulators say about glyphosate safety? In 2015, the International Agency for Research on Cancer (IARC), part of the World Health Organization, classified glyphosate as "probably carcinogenic to humans" (Group 2A). The classification is worth taking seriously. But, there’s an important distinction: IARC classifies hazard, meaning the potential to cause harm under some conditions. It does not assess risk, which accounts for actual exposure levels and the real-world probability of harm. The U.S. EPA, the European Food Safety Authority, Health Canada, and regulatory agencies in Australia and Japan have all concluded that glyphosate is “unlikely to be carcinogenic to humans” at realistic exposure levels. They’re asking a different question: given how much of this people actually encounter, what is the probability of harm? Your actual exposure is what determines your actual risk. What does glyphosate mean for your daily life? At the grocery store: Food residues are small. The EPA’s acceptable daily intake is 1.75 mg/kg of body weight per day. To hit that threshold from oatmeal alone, a 150-pound adult would need to eat roughly 50 pounds of oats every day. But this calculation addresses only one pathway (food), and we don’t yet have robust tools to measure people’s actual total exposure. If reducing exposure matters to you, organic certification prohibits synthetic herbicides, and organic oat products generally test at lower or undetectable levels. Either way, a diet rich in whole grains, conventional or organic, is far better for your health than one that omits them out of fear of residues. On the farm: Occupational exposure is orders of magnitude higher than consumer exposure. Farmers and farm workers who mix, load, and apply glyphosate-based herbicides, especially without protective equipment, face meaningfully different risk profiles. Proper PPE isn’t optional. Integrated weed management strategies that rotate chemical modes of action are also worth taking seriously, both for health and for long-term effectiveness. If you live near a farm: Spray drift is real. Concentrations near field edges can spike during and after application, particularly on windy days. This is an area where I think public health could really step up and empower rural communities with buffer zones, rather than placing the onus on individuals. But for now, knowing your local agricultural calendar and keeping windows closed during application are the first steps. Bottom line Dewayne Johnson was exposed to glyphosate at levels most people will never encounter, and a jury decided he deserved compensation. That outcome is not evidence that the oatmeal in your pantry is dangerous. But it is a reminder that the dose, the context, and the person doing the exposing all matter enormously. Glyphosate is a chemical tool with benefits, trade-offs, and genuine open scientific questions. Learning to hold that complexity without collapsing into panic or dismissal is, honestly, one of the most useful and hardest things to do in navigating modern health science. Love, YLE Your Local Epidemiologist (YLE) is founded and operated by Dr. Katelyn Jetelina, MPH PhD—an epidemiologist, wife, and mom of two little girls. Hannah Totte, MPH, is an epidemiologist and YLE Community Manager. YLE reaches more than 425,000 people in over 132 countries with one goal: “Translate” the ever-evolving public health science so that people will be well-equipped to make evidence-based decisions. This newsletter is free to everyone, thanks to the generous support of fellow YLE community members. To support the effort, subscribe or upgrade below: Subscribe
Sports Betting Is Everywhere, Especially on Credit Reports
A look at sports betting and its effects on consumer financial health in states where it has been legalized and across state lines.
Marathon has sold 1.2M copies across Steam, PS5, and Xbox
Alinea Analytics estimates show that Marathon has generated gross revenues of $55M via 1.2M copies sold on Steam, PS5, and Xbox: Looking at the split between Steam, PS5, and Xbox, Steam is clearly the main platform for Marathon, accounting for a little under 70% of the audience (800K copies sold). Meanwhile, PS5 takes about 19% (217K) and Xbox (including console, PC, and cloud) accounts for a bit over 11% or 133K. Marathon is technically a first-party Sony title, so seeing the home console struggle to break 20% of the volume is a notable data point for the ongoing platform-agnostic debate. PlayStation Studios online games will almost certainly continue being multiplatform (despite Sony reportedly pulling back on PC releases). Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe As for Marathon, the consensus among hardcore players who pushed through the awkward onboarding phase – myself included – is that it’s fantastic. The gunplay, aesthetic, and presentation are among the best in the shooter genre. A great game doesn’t always equal an immediate hit, though, as shown by our estimates. Things are looking lukewarm right now. But this might be one of those marathon-not-a-sprint situations. Had to, didn’t I? Why wasn’t Marathon a hit on the same level as Arc Raiders? One topic that came up in a lot of conversations at GDC this year was why Marathon hasn’t hit the same stratosphere as Arc Raiders. On paper, they’re both extraction shooters, and Marathon has the Bungie pedigree – the house that built the gold standard for gunplay in Halo and Destiny. Marathon’s neon-futuristic aesthetic also distinguishes itself from the gritty realism of Tarkov or the post-apocalyptic hope of ARC Raiders. But vibes can only get you so far for first impressions if the onboarding feels like a brick wall. Marathon is a sweaty PvP-focused experience with a first-time user experience and UI that I can only describe as dreadful. Players are dropped into a complex ecosystem where the UI, though visually striking, is functionally uninformative, forcing users to manually hover over nondescript, identical icons just to identify basic gear or weapon mods. This lack of clarity is compounded by punishing mechanics like a severe heat gauge for movement and a scarcity of vital resources, all without a clear tutorial or a low-stakes mode to learn the ropes. Most people – even top streamers and veteran shooter players – have no idea what’s going on in Marathon at first. Arc is on the complete other end of the spectrum. As we covered here and here, Arc Raiders offers a more collaborative, approachable loop where players often work together toward shared goals. And the objectives are instantly clear. To many players, this contrast only emphasised Marathon’s issues, especially during the testing period. Players understand the Arc Raiders loop within 30 minutes, while Marathon acts as a massive filter, chewing up newcomers and spitting them out before they can experience the depth of Bungie’s signature gunplay. What I’m getting at here is that the poor first-time user experience of Marathon’s Server Slam likely stifled launch sales, while the opposite was true for Arc. Let’s look at the pre-launch copies sold for each game during their respective Server Slams (launch-aligned) : Looking at the trajectory: Arc Raiders saw a massive 80% jump in copies sold during its three-day Server Slam (day -13 to -11). Players jumped in, realised the water was fine, and immediately opened their wallets. Marathon, meanwhile, saw a 49% increase in the four days following its Slam (Day -7 to -3). At the time of each game’s respective launch, Arc Raiders had nearly double the Steam footprint of Marathon – and word of mouth only continued to grow. Bungie could have had more time to fix the onboarding process had the beta happened earlier. But Marathon launched three days after the beta finished. These factors limited the launch sales quite a bit, I reckon. Marathon has found a niche audience, though Despite the friction-heavy start, the data suggests that those who survived Marathon’s onboarding are loving life. We’ve been tracking cross-platform DAUs, and while there’s the expected post-launch leakage, many players are sticking with it. After peaking at 478K total DAUs on its first Saturday, Marathon has settled into a respectable rhythm, holding 345K DAUs as of yesterday and averaging 380K DAUs across the weekend. Steam continues to do the heavy lifting here, consistently accounting for the lion’s share of the daily players. Players have been putting in the hours, too: On Steam, Marathon’s average playtime has climbed to 27.8 hours, significantly outpacing the console averages on PS5 (16.5h) and Xbox (17.3h). Even more telling than the averages: 22% of the Steam audience has surged past the 50-hour mark, and nearly 7% have already logged over 100 hours. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe This data suggests that once the Bungie magic clicks, it hooks players deeper than the average extraction shooter. There’s also started to be a shift in the game’s discourse. Marathon launched as one of those games that’s cool to hate. But as Marathon’s 100-hour club grows, we’re seeing conversations around its mechanical merit outweigh the negativity. Several high-profile creators, who were initially vocal critics, have spent the last week coming around on the mechanical depth of the endgame. It’s a subtle but positive signal; the hate train is losing steam, and a new narrative about the game is emerging. Bungie faithfuls unite Another interesting metric in Marathon’s first few weeks is who, exactly, is playing. Bungie leans heavily on its prestige as the “makers of Halo and Destiny,” in its marketing, and that message has clearly hit the mark. On Steam, the gravity (hammer) of Bungie’s previous work is unavoidable. A staggering 78.2% of Marathon players also played Destiny 2. The trend carries across other platforms, with 74.2% of PS5 players and 82.7% of Xbox players also having played Destiny 2. The Halo legacy lives on, it seems. More on that in a bit. While Destiny 2 went free to play, these numbers still represent a high-intent migration of a fanbase that trusts Bungie’s specific brand of kinetic gunplay and cryptic world-building. The Xbox data adds another layer of legacy. About 85.7% of Marathon players on Xbox have played Halo Infinite, while over half of the Steam audience has spent time in Halo Infinite and 36.1% in the Master Chief Collection (a paid collection of the old Bungie-made legacy games). Interestingly, we see a 55.9% overlap with ARC Raiders on Steam. Overlap is even higher there on PlayStation (60.5%) and Xbox (66.5%). And there’s also significant crossover with Helldivers 2 on all platforms, too. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe Bungie has found some of its fans with Marathon, and the challenge now is keeping this engaged in a high-stakes PvP environment when they’ve spent the last decade primarily enjoying the power fantasies of PvE. On that note… Go the full 26 miles? Or cut and run? Time for some could’ve, should’ve, would’ve. These things would have improved Marathon’s performance at launch: A more robust onboarding process, perhaps in the form of a short single-player/PvE campaign. We know Bungie fans love this stuff. A traditional arena-based mode akin to Destiny’s Crucible could have been a bridge for the cautious players who’d have been otherwise deterred by the Server Slam. It’s also a great palate cleanser after getting merked. Introducing a dedicated PvE environment would have similarly diversified the conversation and lowered the barrier for the Bungie faithful who found the pure PvP extraction loop too abrasive. PvE is safer than PvP these days. There’s an argument that a thin PvE mode would have just felt like a budget Destiny, potentially hurting the brand more. But given how dire the FTUE is, I think it would have been a net positive. Any kind of tutorialised loop that demystifies the stakes, really. While there is merit in a studio sticking firmly to a singular creative vision, and going all in on the hardcore extraction loop. Less forgiving is the technical reality is that the user interface and first-time user experience (FTUE) were not at a commercial standard for launch. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe In a landscape where player time is oversaturated and the most contested currency, a flawed FTUE is a critical failure point. But it’s not all doom and gloom, as Marathon has an incredible, unique gameplay loop, suggesting that financial success is still attainable if Bungie can pivot effectively. Bungie and PlayStation now face a difficult strategic crossroads, though – one within a challenging games market. They could: Double down on Marathon with a long-term Rainbow Six Siege- or No Man’s Sky-style recovery plan, which is something I heard Last Stand Media’s Chris Maldonado mention last week. While this could be a sunk-cost fallacy in action, it could eventually yield the audience the game’s mechanical depth deserves. Shift focus toward the inevitable Destiny 3 or another project, mitigating the escalating opportunity cost and cutting their losses, so to speak. Doing both is an expensive proposition, given the high overhead and burn rate of operating out of Bellevue, Washington. With Sony recently demonstrating a lower threshold for underperforming studios and projects, the margin for error has vanished. Whatever happens, the next six months will determine whether Marathon becomes a cornerstone of Sony’s live-service portfolio or a cautionary tale of vision exceeding accessibility. I’m hoping it’s the former, because Marathon rocks. As always, hit subscribe to get updates on Marathon and other relevant games. Subscribe Want to get your hands on our data for yourself – for free? We’re offering a free trial of our platform for games companies. Send us a message here, or reply to this email, and we’ll set you up. The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
Scientists Must Speak Clearly, Especially in Court: Five Tips for Clear Communication
As climate impacts intensify, so does the legal push to hold polluters accountable, protect vulnerable communities, and enforce environmental laws. And in these legal cases, science is key. Because science can’t present itself on the stand, scientists are essential to give scientific results a voice
We disagreed on politics. We agreed on wine. That was enough.
At the Virginia Governor’s Cup Gala in Richmond earlier this month, a very dapper gentleman approached me and introduced himself. In his light-colored suit and bowtie, he looked very Southern in a classical sense, the sort of Virginia Gentleman you used to see south of the Rappahannock as recently as my college days. “I’m a longtime reader and fan of your writing, if not your politics,” he said. His comment was the proverbial iron fist in a velvet glove, simultaneously conveying praise and disapproval while establishing boundaries. Man, I wish we still discoursed like this instead of shouting bromides and insults to try and “own” our opponents with a funny meme and a furrowed brow. Subscribe “Well, we’ll always have wine to share together,” I said, and thanked him for his kind words. We clinked glasses, exchanged pleasantries about the delicious gold medal-winning wines being poured that evening, and went our separate ways. Our exchange reminded me that more unites us than divides us. Wine brings people together to share a meal and a few hours of joy despite our differences.1 That’s why I refer to the wine community — including readers and consumers — rather than the wine industry. Together, we are so much more than production, distribution and sales statistics. A few minutes later the evening’s awards ceremony began. Applause grew as the 12 winemakers who made the top-scoring wines for the Governor’s Case took the stage, including a loud cheer for Jonathan Wheeler of Trump Winery and his 2018 Blanc de Noir sparkling wine. All the winemakers on stage had reason to be proud, Wheeler perhaps more so. Trump Winery was the only winery to win six gold medals in the competition this year. (Wineries are limited to six entries.) Two of Wheeler’s ciders also won gold medals in a separate competition. When you cover the labels and take the sour taste of politics off your palate, the wines are pretty darn good.2 Then Gov. Abigail Spanberger, newly elected Democrat and Virginia’s first female governor, was introduced to great applause to announce which of the 12 wines had won the Governor’s Cup. She spoke for a few minutes about the importance of wine to Virginia’s economy and tourism and the international acclaim Virginia wine has received. Just two weeks earlier, she gave the Democrats’ response to Trump’s State of the Union speech, but this night wasn’t about politics. That didn’t stop several people in the crowd from speculating on the irony should she have to present the trophy to Trump Winery. In the end, Valley Road Vineyards was displayed on the screen behind Spanberger as the winning winery. Blue Bee Cidery in Richmond took top honors for that category. The crowd cheered a female governor presenting the state’s highest trophy to a female winemaker and then resumed the evening’s festivities, united by their mutual love of wine. A whiff of politics couldn’t dim the cheer of celebration and a community united by its love of wine. In Memoriam: Michel Rolland The global wine community lost a giant March 20, with the passing of Michel Rolland. He was 78. Rolland was the original “flying winemaker,” a globe-trotting consultant who helped Bordeaux regain its mojo in the 1970s and then shaped the rise of Napa Valley cult Cabernet as consultant to Simi, Harlan, Newton, Screaming Eagle, Araujo, Dalle Valle and other wineries. He was instrumental in Argentina’s rise to prominence and even had his own winery, Clos de los Siete, in a partnership with other wine families. Rolland’s career arc paralleled that of Robert Parker, the world’s most influential critic. Parker championed many of the wines Rolland consulted on, helping build his reputation and demand for his services. It also made him a target for Parker’s critics. As W. Blake Gray wrote on Wine-Searcher in his excellent tribute to Rolland: Rolland created the type of wines Parker loved: rich body, plenty of fruit, soft tannins. He sometimes faced the accusation of creating a generic international style of red wine, where the great wines he made in Argentina were indistinguishable from the great wines he made in France. Rolland chafed at that critique, as did many of his fans. He was credited with championing green harvesting and leaf pulling, as well as careful selection of grapes in the winery, practices we nearly universally think of today for high-quality winemaking. “Michel was an incredible innovator who changed how wine was made and how grapes were grown,” Napa Valley winemaker Aaron Pott wrote on Facebook. “His work has transformed the wine trade. He created new ways of looking at wine, tasting wine, evaluating ripeness and quality. … This was not just a man with a ‘style’ that he imposed on vineyards but a man that understood how to make great wine from great sites.” Rolland started his consulting company in 1973 in Libourne, in Bordeaux, with his wife, Dany. Both had graduated the year before from Bordeaux’s Institute d’Oenologie. The couple sold their majority share in the business in 2020, according to Wine Spectator. Over his career, Rolland reportedly worked with more than 100 wineries in 20 countries. He even made it to Virginia, where he consulted for Kluge Estate in the mid-2000s. (Kluge Estate is now Trump Winery.) Reader feedback, please! Last week, I did my first WineLine Live! with Dr. Laura Catena of Catena Zapata winery in Argentina. We enjoyed a fascinating discussion about her efforts to preserve the genetic heritage of old vineyards in Mendoza. I conceived of WineLine Live! for paid subscribers, as a thank you for your financial support. And while only a few people joined live, the video now has more views than I have paid subscribers, so I guess that’s pretty good. Even so, I’m considering opening future installments to anyone on Substack to reach a broader audience. So my questions to you: Should these be public? And what format do you prefer? Live gives a chat feature with the potential for viewers to interact with me and the guest, while a video post would just be that. Another alternative is a podcast, which would just be audio, without video of my chins. Please let me know in the comments. Leave a comment In the Glass A few wines I’ve enjoyed recently: Bonny Doon Vineyard Take Me to Your Liter, Le Cigare Volant, Red Wine of the Earth. 2023, Central Coast, CA. Blend of Grenache, Syrah Cinsaut and Petite Sirah. Delightful wine with expressive red fruit flavors, casual drinking. Doon lovers of a certain age will remember Randall Grahm’s Big House Red; this is more in that style than his original Le Cigare Volant, modeled after Chateauneuf du Pape. The liter bottle makes it an even better value. I see this online at about $15. Great value. Albert Bichot Bourgogne Pinot Noir Origines 2023. 13% - Textbook pinot noir and an excellent, affordable entry (regional) Burgundy. Wine Enthusiast Top 100 Wines of 2025. $24 at Total Wine & More. Loma Larga Pinot Noir 2021 “Coastal Cool Climate Wine”, Valle de Casablanca, Chile. An older sample, showing beautifully. Spicy and fruit forward. I’m seeing widely varied pricing online, from $18-$32. At the lower end, it’s a terrific value. 13.5% Dr. Loosen Riesling Dry 2016, Mosel, Germany. Found this “in the stack.” And it stacked up well, shedding some of its youthful acidity for opulent Riesling character, including a hint of the mineral oil older Riesling often features. A great value, as I’m seeing it as low as $14 online. 12% abv. Red Tail Ridge Blau Franc Blend 2024, Sans Oak, Finger Lakes. 13.4% abv. The name is a neat portmanteau of Blaufrankisch and Cabernet Franc, thus Blau Franc. The blend is 50-50, no oak involved. The Blau dominates on the palate, with the spicy caraway seed (think New York deli rye bread). The Franc adds body. The result is juicy, energetic and joyful. Sokol Blosser Estate Rosé of Pinot Noir 2025, Dundee Hills, Willamette Valley, Oregon. This first rosé of 2025 was a welcome respite to our cold, snowy winter here in the Mid-Atlantic. Oh man, I needed this! Bright and energetic, exuberant even, it perks up the mood and goes down fast. 13%. Certified B Corp. Ingredient and nutrition labeling, and in a modest way that doesn’t occupy a lot of label space. (Since it’s not required, presumably there are no minimum font size requirements.) More wineries should follow this example. Dave McIntyre's WineLine is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Thanks for reading Dave McIntyre's WineLine! This post is public so feel free to share it. Share 1 Some restraint may be required. 2 Especially the bubblies.
Data Is at the Heart of What Public Health Does
Data is key to protecting the health and safety of a community, from identifying and tracking disease outbreaks to ensuring that water is safe to drink. Data is also vital to understanding where resources are most needed. This value is especially apparent to the officials charged with protecting public health, such as Dr. Janet Berreman, Kauai’s (Kauaʻi’s)* district health officer.
Leeds 0-0 Brentford
Paul: Leeds played as if they are frightened of losing rather than trying to win. Chris: Good point in the end - they are a good side pushing for a European place and have good players. Hopefully in the final run-in we will see more of Daniel James, Wilfried Gnonto and Noah Okafor, especially in the home games, to create more goals and keep us in the Premier League.
A promising fatty liver treatment may raise cancer risk
A surprising new study reveals that blocking a supposedly protective enzyme, Caspase-2, could actually backfire—raising the risk of chronic liver damage and cancer over time. Researchers found that without this enzyme, liver cells grow abnormally large and accumulate genetic damage, leading to inflammation, scarring, and eventually tumors, especially with age. While inhibiting Caspase-2 may offer short-term benefits, such as reducing fatty liver disease, the long-term consequences appear dangerous.
Colorado lawmakers can pass “Alyssa’s Act” to help coaches and parents monitor mental health (Opinion)
In 2019, we lost Alyssa after she struggled with her mental health following a series of concussions. We later learned that concussions can be linked to serious mental health challenges and an increase in suicide, especially in young people.
Robert Mueller, and Trump’s many insensitive comments about people who died
For years, President Donald Trump has offered crass and insensitive comments about people who died – especially his foes. That reached a new level on Saturday.
American Express Business Line of Credit Review 2026
The American Express business line of credit offers fast funding, flexible payments and favorable terms, especially for existing Amex customers.
Excess Heat Raises Tijuana River Valley Hydrogen Sulfide Emissions, Health Precautions Recommended
People in the South Bay, especially those living near the Tijuana River Valley (TJRV), are experiencing elevated hydrogen sulfide (H2S) emissions, often recognized by a strong rotten egg smell.
Towards responsible AI for mental health and well-being: experts chart a way forward
On 29 January 2026, WHO‑supported experts met at a TU Delft workshop to address the rapid, largely untested use of generative AI for mental health support. Participants warned of risks to well‑being, especially for young people, and called for stronger governance.
What's that new sports field in northeast Salem?
Youth across Salem, especially those with financial barriers, will now be able to play soccer at the new Final Pass Field.
How Stress, Depression and Anxiety Hit the Heart
Depression, anxiety, PTSD and more are linked to higher odds of heart attack, stroke and heart failure — and the risk is especially relevant after age 50
HMPV is spreading in Wisconsin. What does that mean for you?
Some respiratory viruses, especially RSV, are seeing a late winter to early spring surge in Wisconsin, public health experts say.
Reflecting On Health Insurance Providers Stocks’ Q4 Earnings: Progyny (NASDAQ:PGNY)
Quarterly earnings results are a good time to check in on a company’s progress, especially compared to its peers in the same sector. Today we are looking at Progyny (NASDAQ:PGNY) and the best and worst performers in the health insurance providers industry.
Poll: Israel's standing plummets among Democrats, fueling primaries on the left
More registered voters view Israel negatively than positively in the latest NBC News poll, driven by change among independents and especially Democrats.
Widespread School, Government Office, Business Closures Monday
Widespread closures have been announced across northern Michigan Monday amid a winter storm that has hammered the state, producing significant icing across the region. Strong predicted winds and a continued winter storm warning through Monday could exacerbate impacts to infrastructure, especially for areas with icing on trees and power lines. Multiple schools in the Grand …
Study warns chatbot may cause hallucinations
A new study claims AI-powered chatbots may encourage delusional thinking, especially among vulnerable people.
Linux Finally Catches Up to Windows with a Game-Changing Performance Feature
For years, the Linux kernel’s scheduler has been world‑class at balancing loads, yet it missed a crucial, cache‑aware instinct. In modern multi‑core systems, that gap can turn into measurable latency, especially when threads bounce between cores that don’t share the same cache. A new upstream feature, often called Cache Aware Scheduling, is now set to change that equation. A cache‑savvy scheduler arrives At the heart of any OS, the scheduler decides which thread runs where and for how long. In modern CPUs, small private caches (L1 and L2) sit beside each core, while a larger Last Level Cache (LLC, typically L3) is shared among groups of cores. When a task migrates across LLC boundaries, its warm data may vanish from the cache, forcing slower trips to main memory. Cache Aware Scheduling keeps related tasks close to their shared LLC, reducing destructive migrations. By respecting cache topology, the kernel minimizes cold‑start penalties and preserves locality that many workloads desperately need. The result is less thrashing, fewer memory stalls, and more consistent throughput. "Keep tasks close to their data, and the system will keep performance close to its peak." Why this narrows the Windows gap Windows has long leaned on topology‑aware, cache‑sensitive heuristics, especially since the Windows 10 era. That advantage helped Microsoft handle hybrid designs with P‑cores and E‑cores, plus complex cluster and NUMA layouts. With cache awareness integrated upstream, Linux brings parity to this vital dimension, without sacrificing its trademark flexibility. The Linux approach remains deeply configurable, reflecting the ecosystem’s breadth across servers, desktops, and embedded devices. It layers atop existing NUMA‑balancing and energy‑aware logic, refining placement rather than reinventing the wheel. Crucially, it aligns scheduling with the hardware’s real shape, not just with abstract CPU counts. Real‑world gains and who benefits Early tests on Intel Sapphire Rapids platforms point to gains in the 30–45% range for select workloads. Those wins appear in cache‑sensitive tasks like in‑memory analytics, high‑thread compilation, and microservices with tight working‑sets. Games and latency‑bound engines can also feel steadier frame‑times, especially when threads share hot assets. The benefits extend to AMD’s 3D V‑Cache parts, where keeping threads near enlarged cache slices prevents needless misses. Hybrid x86 designs with performance and efficiency cores further profit when cache and core roles are scheduled in concert. Even handhelds running SteamOS can squeeze more out of limited power, translating cache locality into smoother play. Key advantages include: Lower end‑to‑end latency Fewer expensive misses to RAM Better multi‑socket and NUMA behavior Improved energy efficiency More predictable QoS under mixed loads Stronger scaling on dense servers Caveats, tuning, and rollout No scheduler change is purely free, and trade‑offs still exist. Favoring locality can reduce cross‑cluster balance if limits are set too tight. Likewise, fairness and utilization must remain healthy, especially under heterogeneous, bursty workloads. Linux’s implementation is designed to be measured and tunable, not a blunt instrument. It cooperates with energy‑aware scheduling for mobile efficiency, and with NUMA‑balancers on big iron. Expect architecture‑specific refinements as vendors surface richer topology hints and cache‑sharing maps. Upstream integration has begun, with broad distribution adoption likely over the next cycles. Many users will encounter the change through standard kernel updates in 2025–2026, depending on distro cadence. Server‑class kernels may enable or tune it sooner for targeted fleets where cache locality is money in the bank. How to think about performance impact Cache Aware Scheduling amplifies gains when your workload is both CPU‑bound and cache‑sensitive. Think tight inner loops, hot code paths, and datasets that fit snugly in shared LLC. It’s less dramatic for I/O‑bound services or memory‑hungry tasks that blow past cache capacity. Still, even modest locality improvements often translate into smoother tail‑latency, which is where user experience and SLAs typically break. Developers can further help by pinning related threads, batching work, and aligning data to reduce cross‑cluster chatter. The scheduler’s new awareness works best when applications expose good hints. The bottom line By understanding and honoring cache topology, Linux removes a subtle yet costly bottleneck. The kernel’s smarter placement keeps hot data hot and work near where it belongs. That narrows a long‑standing gap with Windows, while preserving the openness and tunability Linux champions. For gamers, creators, and operators, the payoff is practical: more consistent frames, faster builds, and snappier services. For the ecosystem, it’s another step toward hardware‑savvy scheduling that turns transistor complexity into real‑world speed. And for Linux itself, it’s a timely upgrade that matches today’s silicon with tomorrow’s expectations.
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