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Responding to Today's Gaps for Tomorrow's Health Emergencies: 2026 Ready or Not Report
Join Trust for America’s Health (TFAH) for a Congressional Briefing and National Webinar on the latest information on public health emergency readiness and findings from TFAH’s upcoming report, Ready or Not 2026: Protecting the Public’s Health from Diseases, Disasters, and Bioterrorism – releasing May 7th. The past year alone saw the U.S. facing the most […]
Behavioral health data exchange challenges impede interoperability, says ONC
Technical barriers, workforce limitation, privacy concerns and cost may all contribute to lower rates of electronic exchange of health information by mental health and substance abuse treatment facilities, a new analysis shows.
Registered Nurses, Customer Service Representatives and Retail Salespersons are the Top Jobs in February - Alabama Department of Labor
PRESS RELEASE FOR IMMEDIATE RELEASE: APRIL 21, 2026 Registered Nurses, Customer Service Representatives and Retail Salespersons are the Top Jobs in February MONTGOMERY - Data collected and analyzed by the Alabama Department of Workforce’s Labor Market Information (LMI) Division shows that in February 2026, there were 104,060 job ads posted in Alabama, representing a monthly increase of […]
Experts Confront Misinformation and AI Risks at National Public Health Week
From artificial intelligence (AI) to misinformation, public health leaders say the next crisis may be as much about communication as it is about disease. At Hofstra University’s School of Health Sciences’ (SHS) “Public Health Preparedness: Identifying Risks and Crisis Response Strategies” panel,
FBI investigating possible links between deaths and disappearances of at least 10 scientists
The law enforcement agency’s announcement came after President Donald Trump highlighted the recent deaths of several scientists and government workers who may have had access to sensitive information
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
Learn how Pitt connects local small businesses and drives regional economic impact on May 29
Doing Business with Pitt is a no-cost informational session on securing University contracts.
NFL’s custom scouting systems tell the story of the sport’s changing technology
Advanced internal scouting systems can sort massive amounts of information on NFL prospects, organizing evaluations, grades and other data.
3 HR must-dos new business owners need to know
Getting HR right from the start can set the tone for your entire business. That’s why in this episode of Small Business Smarts, we walk through three essential priorities every new business owner should focus on. For more information, visit ADP.com/SPARK
Small business owners to connect, upskill at Vend Con
In celebration of National Small Business Week, the Women & Minority Small Business Market Inc. (WMSBM) will host Vend Con: Market Ready. The full Vend Con experience is offered at a founding year rate of $45, providing access to all three components. Space is limited, and early registration is encouraged. For more information or to register, visit www.wmsbm.org/events.
Digital Science launches Compass to track real-world publication impact
New platform from tech company combines data from Dimensions and Altmetric into a single, self-service platform
Orbán’s Hungary Defeat Shows Disinformation is Not a Political Magic Trick
Counter-disinformation work should be supported continually, not to prevent certain election outcomes but to give voters the chance to make an informed choice.
Festival season is coming. Here's how to submit your information.
The deadline to submit info for The Tribune's annual Festival Guide is May 8. Here's what's needed and how to submit.
House Oversight to investigate missing or dead US nuclear scientists
Comer said the panel plans to seek information and briefings from the Pentagon, FBI, Department of Energy and NASA.
Indeed exec details why they'll never have an AI token leaderboard
"We track token use, but we use it in the background," Indeed's chief information officer, Anthony Moisant, told Business Insider.
NYU Langone Health neurologists present latest clinical findings and research at AAN 2026
This year’s meeting features more than 80 presentations from Department of Neurology faculty. Here are notable highlights: practical strategies to counter harmful medical myths and misinformation, phase 3 clinical results for a novel epilepsy medication, and the barriers patients with disabilities face while navigating outpatient facilities.
Missing teen with health problems last seen in Fair Play, deputies say
Anyone with information is asked to call 911 or leave a news tip with Crimestoppers.
Longtime business leader Jim Schellinger leaves Indy's economic development agency
Indy Economic Development Inc. said his retirement, announced late Friday, is effective immediately. No additional information about his departure was provided.
iPhone 18 Pro's Four Rumored Colors Revealed, Including 'Dark Cherry'
A source said to be familiar with Apple's supply chain today revealed the color options Apple is planning for the iPhone 18 Pro, iPhone 18 Pro Max, and the upcoming foldable iPhone. Image via Macworld. The information comes from Macworld, which says the signature new color for this year's Pro models will be Dark Cherry, a deep wine-like red. While other sources had previously reported on a "Dark Red" option, the hue is said to be considerably closer to wine than a brighter red.
Indonesia and the politics of platform governance
The relationship between governments and digital platforms is never simple. Governments can introduce regulations, but digital platforms also possess enormous power through the technologies, algorithms, and global information infrastructure they control.
White House probing disappearances, deaths of US scientists: 'Pretty serious stuff'
The White House says it will look into the disappearances and deaths of several U.S. government employees who had access to highly classified nuclear and space information.
Damon Jones, former NBA player and Cavs assistant, reportedly plans to plead guilty to sports gambling charges
Jones was accused of selling insider information to bettors about the health and availability of NBA players, including LeBron James.
Protecting kids from deceptive and unsubstantiated health claims: the FTC’s case against TruHeight
Parents and kids (like all consumers) need clear, truthful information to make informed decisions — especially when those decisions affect their children’s health and physical safety. With that in mind, the FTC is working to protect kids and teens from deceptive health claims. Take the Agency’s recent case: the FTC charged Vanilla Chip LLC, which does business as TruHeight, with using unsubstantiated health claims and fake or incentivized reviews to market its supplements to kids, teenagers, and caregivers.
Former NBA player Damon Jones expected to plead guilty in case of illegal sports betting scheme
Jones was accused last year of selling nonpublic information to gamblers for a cut of their profits. He pleaded not guilty to federal charges in November.
Damon Jones plans to plead guilty to selling sports gambling insider information
Jones was accused of selling insider information to sports gamblers while he worked with the Lakers.
One in Four Use AI for Health Information
One in four US adults report using artificial intelligence tools or chatbots for physical or mental health information.
UNC Hussman offers new sports play-by-play class | UNC Hussman School of Journalism and Media
This story, written by UNC Hussman alumna Caroline Daly ’24, was originally published on unc.edu. The UNC Hussman School of Journalism and Media has a new, hands-on class available for students interested in sports careers. Students in “MEJO 390: Sports Commentary and Play-By-Play” can call live radio broadcasts for Carolina sporting events, streamed live on the Go Heels website. This spring, 11 students are calling mostly softball games to gain experience and learn the preparation needed for a successful broadcast. The class is capped at a small number to provide consistent, individual feedback. Matt Krause, the radio voice of Carolina women’s basketball, teaches the class to help students sharpen their skills, using his experience with the Tar Heels and calling games for ACC Network and ACC Network Extra. “There is no substitute for live reps, and that is the only way you get better. The classroom component teaches you how to get better, but going about that requires sitting in that chair, making mistakes and being able to know your broadcast is going somewhere,” Krause said. “These students are doing real live games, and they will have tape where if they want to pursue this. They will have ready-made demos to send for jobs. Being able to utilize all the resources of UNC, GoHeels Productions and the Carolina Athletics brand and create these opportunities for students is really impactful.” In the class, students learn fundamentals like how to announce starting lineups for different sports and how to conduct research before games. Krause has led the class in mock preparation exercises, looking at game charts with information about the different teams and players that they can refer to at pivotal moments during the game. Krause and the students then critique each other, listening to clips from the past week to find ways to improve. It’s a rare class without a slew of quizzes or assignments. Their main tasks are calling games and making a portfolio or demo reel of their best calls at the end of the semester, all with the goal of being ready to step into similar roles after graduation. Laible live streams her coverage on the GoHeels website. Calling a live game while broadcasting her coverage allows her to get hands on experience. (Jon Gardiner/UNC-Chapel Hill) Junior Anna Laible ’27 wished for a class just like this. Her first year at Carolina, she interned with the Coastal Plain League, where she was introduced to play-by-play for baseball. “I enjoy the challenge and uncertainty of each game being different because each sport looks a little different,” said Laible. “Each game is different — not just with teams but what could happen with certain records being broken or random trends. That’s what I enjoy most.” She wanted more opportunities for reps during college to prepare for a career after Carolina, so she pitched an idea for the class to Livis Freeman ’99, distinguished associate professor of sports communication. Laible and Freeman reached out to GoHeels Productions for a partnership and then connected with Krause. “This is how at UNC Hussman we separate ourselves: Our students go into the field ready,” said Freeman. “The biggest compliment we get it is when our students start their careers, they don’t need any hand-holding.” Laible calls a Carolina softball game at Kessing Stadium – after pitching the idea to Hussman faculty. Her interest in sports commentary allowed her to apply her interest as she attends Carolina. (Jon Gardiner/UNC-Chapel Hill) Laible is now a student in the class, which has helped her strengthen her skills and deepen her passion for the field. The goal is to expand to other sports like soccer, lacrosse and field hockey. “The hands-on experience I’ve gotten here is invaluable. I’ve loved the classes and professors because they’ve taught me a lot, but it’s also the things outside of class, too, that have helped me grow,” said Laible. “Since being at UNC, I’ve grown a lot in the versatility, from doing writing to production and commentating. UNC Hussman and Carolina have given me the ability to be strong and well rounded.”
UF Health Names Healthcare Veteran Craig Richardville As CIO
Craig Richardville brings more than 25 years of experience as a healthcare CIO to his new role as chief digital and Information Officer of UF Health.
Health information delivered as a video game can bridge the communication gap between patients and providers
By letting people make choices and experience the outcomes of those choices, gaming provides a much more hands-on way of learning about health.
Chargé Arnold Speech - Implementation Plan of Five-Year Health MOU - U.S. Embassy in Madagascar
Chargée d’Affaires Stephanie Arnold's Speech Discussion on the implementation plan for the five-year health Memorandum of Understanding (…) Colleagues, and honored guests, Good morning, and welcome to the United States Embassy. It is a pleasure to host you today for the second day of this important workshop to discuss the implementation of our bilateral health Memorandum of Understanding on U.S. Government health activities in Madagascar, made possible through the Trump Administration’s America First Global Health Strategy. Today’s focus— discussing a shared vision and developing a preliminary draft for the health MOU Implementation Plan and the terms of reference for the two committees that will steer its implementation—is a decisive step in moving from commitments on paper to concrete action over the next five years. On December 22, 2025, the Governments of Madagascar and the United States signed a five-year bilateral health MOU, with a financial intention of approximately 554 billion Ariary from the United States and This jointly decided MOU intends to strengthen Madagascar’s health system, support lifesaving services, and improve disease prevention and response that matter to both our countries’ health security. For the United States, this means detecting and containing infectious disease outbreaks including malaria, polio, and emerging health threats before they can reach American shores through international travel and trade, protecting American families while reducing the need for costly domestic emergency responses Yesterday, technical experts from the Ministry of Public Health and the U.S. Government worked in thematic groups to draft a preliminary Implementation Plan. Today, your task is to review the shared vision and preliminary draft MOU implementation plan, and the proposed terms of reference for the Joint Steering Committee and the Operational Committee that will guide its implementation. These committees are not just administrative structures. They are the mechanisms that will ensure clear roles and responsibilities, regular dialogue between our two governments, consistent monitoring of progress, and real accountability for the results that will directly benefit the lives of Malagasy citizens. They will also track performance against the benchmarks we have jointly established, which will guide the continuation of U.S. support over the five-year period . Continued U.S. support will be contingent on meeting these performance benchmarks. This ensures accountability to both American and Malagasy taxpayers and guarantees that our partnership delivers measurable results. America First Foreign Assistance means that U.S. support must be strategic, results-driven, and accountable to our taxpayers. It also means we aim to support greater self-reliance and reduced long-term dependence on foreign assistance, with systems that are increasingly financed and led by Madagascar itself. This approach benefits both our nations: Madagascar gains sustainable health capacity, while the United States advances our health security interests and creates opportunities for American health innovations and companies to support Madagascar’s development. In that spirit, I want to recognize the presence of the Ministry’s leadership and the technical directors and program heads responsible for surveillance, basic health services, family health, immunization, countering malaria, laboratories, medicines, and health information systems. Your leadership and technical expertise are essential if this bilateral health MOU is to translate into real and lasting improvements for people in need across the country. Let me emphasize how important collaboration is to the United States in this effort. We can bring American resources, technical expertise, and tools. But this bilateral health MOU can only succeed if it reflects Madagascar’s priorities and if Malagasy institutions lead and maintain its implementation. We see this not as a U.S. project, but as a joint framework under Malagasy leadership, with U.S. support. That is why we are genuinely pleased to host this event here at the Embassy. Opening our doors to you today symbolizes our commitment to work side by side and to remain transparent about how we use U.S. resources in support of Madagascar’s health system. In closing, thank you for your time and your partnership. We are very happy to welcome you here and proud to accompany Madagascar in this next step of implementation planning for our bilateral health MOU. I wish you a productive and focused session. The work you do today will shape how our two governments cooperate on health in the years ahead; it will influence the quality and reliability of health services that Malagasy communities receive; and, most importantly, it will help protect both our nations from infectious disease threats while building Madagascar’s capacity for long-term health system sustainability. Thank you.
Former Southeast Missouri Softball Coach Lana Richmond and Sports Information Director Ron Hines Elected to OVC Hall of Fame
BRENTWOOD, Tenn. – Former Southeast Missouri sports information director Ron Hines (posthumously) and softball coach Lana Richmond and former UT Martin tennis coach Dennis Taylor have been elected to the Ohio Valley Conference Hall of Fame.
Cancer
WHO fact sheet on cancer providing information on the health burden of different types of cancer, causes, risk factors, prevention, early diagnosis, treatment, palliative care, and WHO's work in this area.
Memory Wars: Facts, Disinformation, and the Politics of Remembrance
The 14th European Remembrance Symposium in Bratislava, Slovakia, on 27–29 May 2026, will explore how collective memory is shaped and weaponized in today’s geopolitical climate. Bringing together an illustrious line-up of experts, the event examines disinformation, identity, and the role of historical narratives in modern political conflict.
Stephen Hawking's black hole information paradox could be solved — if the universe has 7 dimensions
Stephen Hawking's theory of black hole evaporation clashes with the laws of quantum mechanics. A new paper finds a way around this paradox, provided that the universe has seven dimensions.
Apple Pushes Siri Programmers to Adopt AI Coding Tools
Apple plans to send “a significant chunk” of its Siri programmers to a weekslong bootcamp to learn to code using artificial intelligence, The Information
UroFlow Claims Evaluated: Reviewing the Official Website Benefits & Ingredients to Support Prostate Health
A 2026 consumer information overview of how UroFlow presents its Saw Palmetto, Pygeum Africanum, Lycopene, and Tomato Sauce Trick ingredient references, official website benefit descriptions, pricing structure, and published guarantee terms for men researching natural prostate and urinary flow support supplementsLakeland, FL, April 15, 2026 (GLOBE NEWSWIRE) -- This article contains affiliate links. If a purchase is made through these links, a commission may be earned at no additional cost to the
Siri Engineers Sent to AI Coding Bootcamp as Apple Prepares to Deliver Siri Overhaul
Apple is sending a large portion of its Siri engineers to a multi-week bootcamp to learn to code using AI, reports The Information. Apple's decision to teach its programmers to better use AI for coding comes just two months before Apple is expected to unveil a smarter, more capable version of Siri at WWDC. While employees attend the coding bootcamp, around 60 members of the Siri development team will stick around to work on Siri, and an additional 60 will evaluate how Siri is performing.
UnityPoint announces elimination of 207 IT jobs
UnityPoint Health has announced changes to its workforce, including a reduction of 207 information technology roles.
Springing into science
When people understand science, the whole community benefits. A scientifically literate community is a stronger community – one where people can navigate new technologies, evaluate information and participate in conversations that shape our future. Scientific literacy isn’t about memorizing facts. It’s about understanding how the world works well enough to make thoughtful choices within it. […]
These 108 Malicious Chrome Extensions Are Stealing Google and Telegram Data
Researches have identified 108 Chrome extensions that stole Telegram messages and exposed Google account information.
Trump phone gets new look, release date still unclear
There's no information on the website about when the phone will be released, and its "Made in the USA" claims have been further watered down.
Why are many Americans turning to AI for health advice
A Gallup poll found that roughly one-quarter of U.S. adults had used an AI tool for health information or advice in the past 30 days.
Sony Xperia 1 VIII: Launch details of Sony's new flagship phone surface in the wild
A new leak has now revealed some more information on what to expect from Sony's upcoming flagship smartphone. The Xperia 1 VIII will succeed last year's Xperia VII and could be scheduled to debut on the global market shortly.
'Industrial' clickbait disinformation targets Australian politics
From anti-transgender narratives about Olympic swimmers to
'Industrial' clickbait disinformation targets Australian politics
From anti-transgender narratives about Olympic swimmers to
Polls show why many Americans are turning to AI for health advice
Many Americans are turning to artificial intelligence tools such as ChatGPT for health advice. A Gallup poll out Wednesday found that about 1 in 4 U.S. adults had used AI for health information in the past month.
Americans Turning to AI to Supplement Healthcare Visits
One in four Americans use AI for health information. Most do so to supplement care, but some are using AI in place of a provider visit when barriers arise.
Help us help you: Take the FEDC 2026 Business Climate Survey
The Fairbanks Economic Development Corporation is working with Information Insights this spring to assess the health and trajectory of the economy of the Fairbanks North Star Borough and broader Interior
New digital card connects service members to brain health resources in the Military Health System
Military Health System unveils a new digital resource card to support service members who may have experienced a concussive event. The tool serves as a centralized guide to quickly locate information on brain health, including recognizing symptoms, seeking care, and vital resources supporting cognitive health.
How information disorder shapes global politics
In international politics, outcomes are shaped not only by what countries do, but by how those actions are perceived. UC Santa Barbara political scientist Julia Morse studies how information disorder — a media environment where it’s easy to create content and spread false or misleading material — shapes international politics. “At the end of the day, it may or […]
Victoria Li's senior project: Exploring how AI processes information
Knowing how chatbots turn input into output will help with reliability and trust in AI agents
Cleveland Clinic Launches ‘Good Science’ Video Series
The series of short videos is aimed at helping people better understand research and health information.
Julie’s new AI chatbot aims to fix a major gap in women’s health information
The emergency contraception brand is using a chatbot to answer the questions Gen Z is already asking online.
Mystery item spotted in 2,000-year-old Egyptian child mummy
Critical information about this unknown boy was destroyed during World War II.
CMS Launches First Wave of Health Tech Ecosystem Health Information Sharing and Access Tools
The Department of Health and Human Services (HHS) Centers for Medicare and Medicaid Services (CMS) has launched the first wave of Health Tech Ecosystem The CMS has launched the first wave of Health Tech Ecosystem tools under its initiative to improve interoperability and patient access to their own health information.
How information disorder shapes global politics
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SCORE Offers Free Business Mentoring Sessions
Local entrepreneurs and small business owners in Pasadena have a valuable resource at their fingertips with the ongoing SCORE One-on-One Mentoring Sessions. These free and confidential appointments provide individuals with expert guidance on starting, running, or growing a small business, courtesy of SCORE, the nation’s largest network of volunteer business mentors. The sessions are designed to offer personalized advice and strategic insights from experienced professionals. SCORE, which stands for Service Corps of Retired Executives, is a non-profit organization and a key resource partner of the U.S. Small Business Administration (SBA). Its mission is to foster vibrant small business communities through dedicated mentoring and education. The organization comprises a network of seasoned business owners and executives who generously volunteer their time to support the next generation of entrepreneurs. As SCORE states, their mentoring is a “free, confidential service for anyone starting, running, or growing a U.S.-based small business.” These one-hour mentoring sessions are held every other Tuesday from 1 to 5 p.m. at two branches of the Pasadena Public Library: the Lamanda Park Branch Library and the Santa Catalina Branch Library. Appointments can be conveniently reserved up to 14 days in advance, ensuring that individuals can schedule a time that best suits their needs. This recurring service underscores SCORE’s commitment to continuous support for the local business community, helping them to plan, launch, and grow successfully. Need to Know: The SCORE One-on-One Mentoring Session offers free business guidance. These one-hour appointments are available every other Tuesday from 1 to 5 p.m. at the Pasadena Public Library’s Lamanda Park Branch (140 S Altadena Drive, Pasadena, CA 91107) and Santa Catalina Branch (999 E Washington Blvd., Pasadena, CA 91104). The service is free. For more information or to book an appointment, visit [https://www.score.org/].
1 in 10 health ad dollars go to sites spreading misinformation
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How to get a refund on the Nintendo eShop
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‘I jumped at it’: Australia’s new CDC chief on trust, misinformation and never being surprised by a health threat
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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.
FSU leaders highlight health, research and technology at RISE Together Showcase and town hall
Florida State University’s Information Technology Services highlighted strategy, innovation and partnerships April 7 during the 2026 ITS Spring Town Hall
Abbott survey finds ‘information overload, confusion and cost’ affecting health choices in US
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April Arts and Entertainment Calendar
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VIDEO: Suspect steals checks from Upstate business drop box
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VIDEO: Suspect forcibly opens drop box, steals checks from Clemson business: Police
Anyone with information on the suspect is asked to call or test (864) 624-2014 and reference Case #2026-000853.
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Good Times
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Roxy Regional Theatre Celebrates 44th Season with Gala and Live Entertainment on April 25th - Clarksville Online - Clarksville News, Sports, Events and Information
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Business Formation Statistics Monthly Data Release
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Users of social media and AI chatbots for health information are more likely to say they are convenient than accurate
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Screenwriters union and Hollywood studios reach four-year tentative agreement
f a e n activism strikes information-technology health-care-industry labor-unions business u-s-news general-news entertainment | KCBS All News 106.9FM and 740AM