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How Businesses Can Build Trust as Institutional Confidence Erodes

Business leaders discussed the significance of authenticity, action, and building common ground at the TIME100 Summit in New York City.

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Apr 22 • 2:47 PM EDT • Business • time.com
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CommonSpirit Health named to ‘Dirty Dozen’ list of employers that put profits over safety

CommonSpirit Health has been named to the “Dirty Dozen 2026” list by the National Council for Occupational Safety and Health (NCOSH). The annual list from NCOSH names 12 companies whose disturbing disregard for safety includes repeated and serious violations of workplace safety laws and a history of ignoring known hazards.

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Apr 22 • 2:33 PM EDT • Health • nationalnursesunited.org
Eight Yale scholars elected to American Academy of Arts & Sciences

The new members, who have made key contributions in a range of fields, join previously elected fellows in helping to “advance the common good” across the arts, democracy, education, global affairs, and science.

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Apr 22 • 11:32 AM EDT • Science • news.yale.edu
New clues for using common fungus to promote crop growth and health

Trichoderma species — a common fungus found in soils — have varying abilities to promote tomato plant growth and differentially affect the abundance of certain soil bacteria, according to a study led by researchers at Penn State.

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Apr 22 • 11:17 AM EDT • Health • psu.edu
The health misinformation crisis is bigger than anyone thought: Most people worldwide believe at least one of 6 common medical myths

A global Edelman survey yields a "stunning set of facts": seven in 10 believe at least one debunked health claim regardless of education, politics or age.

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Apr 22 • 5:00 AM EDT • Health • fortune.com
Virginia votes yes on proposed congressional redistricting, AP projects

Virginia voted to approve a plan to temporarily redraw the Commonwealth's 11 congressional districts ahead of November's midterm elections, the Associated Press projects.

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Apr 21 • 8:55 PM EDT • Politics • wtvr.com
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DNA reveals a hidden pitviper species in China

A vivid green pitviper hiding in Sichuan’s misty mountains has been revealed as a completely new species. Scientists had overlooked it for decades, assuming it was a common snake—until DNA analysis proved otherwise. Named after Laozi, it features striking differences between males and females, including bold stripes and eye colors. The discovery highlights just how many unknown species may still be lurking in well-studied regions.

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Apr 21 • 8:00 PM EDT • Science • sciencedaily.com
'Pretty stunning': Data shows political division is a top concern for Americans

'Common Ground': UNITE CEO Tim Shriver analyzes the alarming rise of political polarization in America on 'Special Report.'

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Apr 21 • 7:48 PM EDT • Politics • foxnews.com
Mistakes to avoid at state and national parks, from park ranger

After working as a park ranger at state and national parks for six years, I saw guests make common mistakes like straying from marked trails.

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Apr 21 • 9:54 AM EDT • Business • businessinsider.com
Shaky political science: using "simulated" elections over real-world elections

[Dear DSOS readers – this article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in early December, we examined over 40 studies focused on ranked choice voting. We found that many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data, and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe

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Apr 21 • 9:31 AM EDT • Science • democracysos.substack.com
Aspirin can reduce the risk of cancer – and we're starting to understand why

The 4,000-year-old drug, most commonly used to treat pain, prevents certain tumours from forming and spreading across the body – findings that are already changing health policies.

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Apr 21 • 5:00 AM EDT • Health • bbc.com
On the frontlines of speech science with Liberty Hamilton and Alex

Last summer, UC Berkeley hired not one but two computational neuroscientists, Liberty Hamilton and Alex Huth, who study how the brain processes language. The pair has a lot more in common. Both

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Apr 20 • 12:30 PM EDT • Science • ls.berkeley.edu
Coming to Xbox Game Pass: Kiln, Aphelion, Final Fantasy V, and More

What do Chocobos, space, vampires, and sentient pottery have in common? If it’s anything more than “themes of games you can play soon” we’d really like to know what kind of weird list that is.

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Apr 20 • 9:00 AM EDT • Technology • news.xbox.com
Kustom Entertainment, Inc. Announces Reverse Stock Split

Overland Park, KS, April 20, 2026 (GLOBE NEWSWIRE) -- Kustom Entertainment, Inc. (NASDAQ: KUST) (the “Company”), a leading provider of video solutions which develops, manufactures, and markets advanced video recording products and other critical safety products for law enforcement, emergency management, fleet safety, and event security, today announced a 1-for-5 reverse split (the "Reverse Stock Split") of the Company’s common stock (the "Common Stock") and proportional reduction of the number o

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Apr 20 • 7:00 AM EDT • Entertainment • finance.yahoo.com
Business Leads for April 20, 2026

In January, 1,421 new businesses filed incorporation paperwork with the Massachusetts Secretary of the Commonwealth, in order to do business in the state.

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Apr 20 • 6:00 AM EDT • Business • wbjournal.com
Dining across the divide: ‘I think property is a right, not a business – he thinks differently because he’s a landlord’

They disagree on the private rented sector. Can they find common ground over a united Ireland?

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Apr 19 • 7:00 AM EDT • Business • theguardian.com
Business groups resist anti-immigrant bills cheered by Trump

Many of the bills share common goals and similar texts, and they reflect the immigration enforcement priorities of the Trump administration.

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Apr 19 • 6:29 AM EDT • Business • bostonglobe.com
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Common cleaning sponge found to release trillions of microplastic fibers

That “magic” sponge under your sink may be hiding an environmental downside. While melamine sponges are famous for effortlessly scrubbing away stubborn stains, they slowly break down as you use them—shedding tiny plastic fibers that wash into water systems. Researchers estimate that globally, these sponges could release over a trillion microplastic fibers every month, potentially entering the food chain and affecting wildlife.

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Apr 18 • 8:00 AM EDT • Science • sciencedaily.com
'Margo's Got Money Troubles' Has Almost Everything Going For It — But There's 1 Big Problem

Elle Fanning and Michelle Pfeiffer star in Apple TV's adaptation of Rufi Thorpe's novel. It's a delight but also falls into a common trap in this streaming era.

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Apr 18 • 6:00 AM EDT • Entertainment • huffpost.com
Amherst Sustainability Festival: A Day of Family Fun, Education, and Entertainment

Mark your calendars for the 14th Annual Amherst Sustainability Festival, taking place on Saturday, April 25 from 10 a.m. to 3 p.m. on the Amherst Town Common. Coinciding with the regularly scheduled Amherst Farmer’s Market, this free and family friendly event brings together local farmers, environmental vendors, advocacy groups, live entertainment, hands-on demonstrations, sustainable crafts, and much more. “The Amherst Sustainability Festival has become a beloved event

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Apr 17 • 8:47 PM EDT • Entertainment • amherstindy.org
College of Public Health Collaborates with Arkansas Cancer Coalition

The University of Arkansas for Medical Sciences (UAMS) Fay W. Boozman College of Public Health conducts cancer research throughout the state. Its partnership with the Arkansas Cancer Coalition is among the reasons why it has such a wide footprint. “It matters that we work with the community on common goals,”…

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Apr 17 • 12:11 PM EDT • Health • news.uams.edu
Wildfire Smoke Poses Recurring Threat to Lung Health w

With wildfire smoke becoming a more common threat to lung health due to climate change, pulmonologists can play a role by preparing their patients and practices for the season.

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Apr 17 • 8:00 AM EDT • Health • docwirenews.com
6 Common Medications That May Decrease Dementia Risk

Some vaccines, along with heart medications and other drugs, appear to have a protective benefit.

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Apr 17 • 5:00 AM EDT • Health • nytimes.com
SBI Sets Up Entertainment Fund with Cool Japan Fund

Tokyo, April 17 (Jiji Press)--SBI Holdings Inc. said Friday it has set up a fund with Cool Japan Fund Inc. to …

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Apr 17 • 3:55 AM EDT • Entertainment • nippon.com
Participation, Debate and Community: Exploring Ancient Democratic Values in Modern Society | Pomona College in Claremont, California

Associate Professor of Classics Benjamin Keim explains what our methods for assessing potential officeholders have in common with those of the ancient Athenians.

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Apr 16 • 11:31 AM EDT • Politics • pomona.edu
World Cup excitement boosts local collectibles business

Excitement is growing as the World Cup comes closer to the Commonwealth and local businesses are already seeing a boost.

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Apr 16 • 10:54 AM EDT • Business • westernmassnews.com
What’s the Buzz about Binge Drinking? – Expert Advice from RWJBarnabas Health

When we talk about binge drinking, it’s often in the context of college-aged adults. However, Alexis LaPietra, DO, FACEP, Medical Director of the RWJBarnabas Health Institute for Prevention and Recovery (IFPR) and Director of Addiction Medicine for Emergency & Hospitalist Services at RWJBarnabas Health, shares that while binge drinking is most common in adults aged 18-25, it is a concern for all ages.

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Apr 16 • 8:34 AM EDT • Health • rwjbh.org
Avoid these common small business tax mistakes

Block Advisors Strategy and Small Business Program Manager, Latasha Randle, chats with Host, Elizabeth Gore, about how self-employed entrepreneurs can simplify taxes, retirement, and healthcare planning. Randle shares practical advice on staying organized year-round, maximizing deductions, and building long-term financial security through proactive planning.

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Apr 16 • 8:00 AM EDT • Business • finance.yahoo.com
Common IBS medications linked to higher risk of death in major study

A massive, nearly 20-year study tracking over 650,000 Americans with irritable bowel syndrome is raising new questions about the long-term safety of common treatments. Researchers found that some widely used medications—including antidepressants and certain antidiarrheal drugs—were linked to a small but noticeable increase in the risk of death over time.

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Apr 15 • 8:00 PM EDT • Science • sciencedaily.com
Common Ravens draft theme emerging for Lamar Jackson

This is now becoming a regular occurrence.

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Apr 15 • 6:29 PM EDT • Sports • sports.yahoo.com
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NFIB Releases Report Detailing Benefits of Federal 20% Small Business Tax Deduction Becoming Permanent for Massachusetts

Will the benefits of federal relief overcome the high-tax environment created by state and local government in the Commonwealth?

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Apr 15 • 4:15 PM EDT • Business • nfib.com
Traws Pharma Reports Full Year 2025 Results and Provides Business Highlights

Tivoxavir marboxil advancing towards a human influenza challenge trial as a once-monthly prophylactic agent, building on broad preclinical antiviral activity, Ratutrelvir topline Phase 2a data show a differentiated profile versus PAXLOVID® in COVID patients, with good overall safety; final study analysis underway Private financing of up to $60M (with $10M of such amount upfront) offering of common stock and milestone-based and three-year warrants completed on April 15, 2026 supporting operations

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Apr 15 • 4:01 PM EDT • Business • finance.yahoo.com
95% of people carry this virus and scientists may have just found how to stop it

Scientists have taken a major step toward stopping Epstein-Barr virus (EBV), an extremely common infection linked to cancer and chronic disease. By using mice engineered with human antibody genes, researchers created powerful human-like antibodies that block the virus from attaching to and entering immune cells. One of these antibodies completely prevented infection in lab models with human immune systems, marking a breakthrough after years of difficulty tackling EBV’s ability to invade nearly all B cells.

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Apr 14 • 8:00 PM EDT • Science • sciencedaily.com
Just kidding about the separation of church and state?

You may recall the old truism the three things you shouldn’t discuss at a cocktail party are religion, politics, and, well, that last one often depends on the situation. But those first two tend to be commonly warned against as topics for conversation in polite society. So, guess what we are going to talk about […]

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Apr 14 • 3:00 AM EDT • Politics • coloradopolitics.com
Consumer Reports: Keeping your kids in the game

Consumer Reports has some important advice for parents on how to help prevent common and often avoidable sports injuries.

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Apr 13 • 7:52 PM EDT • Sports • kcra.com
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FDA shares warning about cath lab procedure kits due to risk of patient injury

The syringes included in several convenience kits commonly used by interventional cardiologists and interventional radiologists should not be used. If treatment is necessary and no other devices are available, it should be done with “extreme caution and vigilance.”

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Apr 13 • 11:37 AM EDT • Business • cardiovascularbusiness.com
Lessons from the OIG: Common Billing Errors Texas Home Health Providers Need to Know | Insights

The Texas Health and Human Services Office of Inspector General (HHSC-OIG) quarterly report highlights common billing errors and compliance issues in home healthcare settings.

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Apr 13 • 8:00 AM EDT • Health • hklaw.com
New Huawei Foldable Looks a Lot Like Apple's Rumored iPhone Fold

Apple's upcoming foldable iPhone is expected to feature a book-style form factor that's relatively uncommon in the foldables market, but Huawei's new Pura X Max appears to share a similar wide aspect ratio. Set to be released in China next week, Huawei's new device actually builds upon a design used by the original, smaller Pura X, which was marketed last year as an extra-wide flip phone.

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Apr 13 • 7:47 AM EDT • Technology • macrumors.com
Northern Ireland swimmers ready to take on best in Commonwealth

BBC Sport NI looks at swimmers hoping to be confirmed as part of the Northern Ireland squad for the 2026 Commonwealth Games in Glasgow.

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Apr 13 • 2:39 AM EDT • Sports • sports.yahoo.com
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The Complex Transformations Underlying MC Escher’s Works

Self-similar images are rather common, which are images in which the same image is repeated on a smaller scale somewhere within the image that one is looking at, something which is also referred to…

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Apr 12 • 1:00 PM EDT • Technology • hackaday.com
From LLMs to hallucinations, here's a simple guide to common AI terms

The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.

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Apr 12 • 11:07 AM EDT • Technology • techcrunch.com
New York Giants land 'surprise' defender in latest CBS Sports mock draft

In the latest CBS Sports mock draft, the New York Giants pass on commonly projected prospects in favor of a "surprise" defender.

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Apr 12 • 6:04 AM EDT • Sports • sports.yahoo.com
Scientists Finally Crack the 100-Million-Year Evolutionary Mystery of Squid and Cuttlefish

Genomic analysis reveals squid and cuttlefish evolved in deep oceans, survived mass extinction in refuges, and later rapidly diversified, following a “long fuse” evolutionary pattern.

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Apr 12 • 12:09 AM EDT • Science • scitechdaily.com
See How the Brewers Suffered Another Loss

The Milwaukee Brewers' skid has extended to four games, and a common theme continues to plague them.

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Apr 11 • 10:55 PM EDT • Sports • sports.yahoo.com
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Gary Jackson featured at FMU School of Business for annual Common Author Colloquium

More than 60 students, faculty and community members gathered at Harris Auditorium Thursday for the annual Common Author Colloquium featuring author Gary Jackson, who discussed his new book “Small Lives: Poems,” which reimagines superheroes with new themes. The event, hosted by Shawn Smolen-Morton, chair of Francis Marion University’s Department of Modern Languages and professor of...

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Apr 11 • 9:37 PM EDT • Business • patriotnewsonline.com
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“AI polls” are fake polls

A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.

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Apr 11 • 11:38 AM EDT • Technology • natesilver.net
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Healthcare Priorities in Governors’ 2026 State of the State Addresses

Across the country, Governors from coast to coast made healthcare a centerpiece of their 2026 legislative addresses—identifying common challenges around rural access, workforce shortages, rising costs, and behavioral health, and charting a range of ambitious courses to address them. Rural Access Gaps Rural and remote communities have experienced losses in critical healthcare infrastructure, inherently decreasing […]

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Mar 26 • 2:07 PM EDT • Health • nga.org
Poll: Vote for the Blue FCU Top Fort Collins-area Girls Winter Athlete

Vote for the top girls winter athlete. Nominees are from Liberty Common wrestling, Fossil/Wellington swim and Fort Collins/Windsor/Timnath basketball.

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Mar 25 • 6:00 PM EDT • Sports • coloradoan.com