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James Webb telescope reveals the clearest map ever of the Universe’s cosmic web
Astronomers using NASA’s James Webb Space Telescope have created the clearest map yet of the universe’s “cosmic web” — the enormous hidden structure that connects galaxies across space. By analyzing more than 164,000 galaxies through the massive COSMOS-Web survey, researchers were able to trace this vast network back to when the universe was just a billion years old.
City of Evanston seeks input via survey from business owners for new retail initiative
The City of Evanston and Retail Activation Strategist Claire Seizovic are inviting Evanston business owners to help shape a new Pop-Up and Incubator Pilot
Hubble Survey Sets Up Roman’s Future Look Near Milky Way’s Center
NASA’s Nancy Grace Roman Space Telescope will be the first to make studying the galactic bulge a part of its core science objectives.
Health care now a 'top issue' for the business community, Maine survey shows
Maine is “small enough yet big enough to set the example of how health care should be delivered in rural areas,” said Northern Light Health’s CEO.
Health care now a 'top issue' for the business community, Maine survey shows
Maine is “small enough yet big enough to set the example of how health care should be delivered in rural areas,” said Northern Light Health’s CEO.
Survey Sunday: How much home battery backup do YOU need?
We asked you, our brilliant Electrek readers, what you were looking for in your home battery system. Here's what you said.
DOH recruits Teen Health and Media Survey participants via email
The Hawai‘i Department of Health (DOH) will conduct the 2026 Hawai‘i Teen Health and Media Survey over the next two months. Information collected will be used to develop and improve health programs and services for Hawaiʻi’s youth.
Health advice is all over social media. Here’s how to vet claims
Health and wellness advice is available in abundance on social media — from trendy to informative to straight-up disinformation — and you’re far from alone in seeing it. A new survey by the P…
Health advice is all over social media. Here’s how to vet claims
Health and wellness advice is available in abundance on social media — from trendy to informative to straight-up disinformation — and you’re far from alone in seeing it. A new survey by the P…
Health advice is all over social media. Here’s how to vet claims
Health and wellness advice is available in abundance on social media — from trendy to informative to straight-up disinformation — and you’re far from alone in seeing it. A new survey by the P…
Health advice is all over social media. Here’s how to vet claims
Health and wellness advice is available in abundance on social media — from trendy to informative to straight-up disinformation — and you’re far from alone in seeing it. A new survey by the P…
Health influencers are all over social media. How to be smarter when vetting claims
A new survey finds about half of U.S. adults under 50 get health information from social media influencers or podcasts.
Breaking down the data: What does the 2025 U.S. National Survey say about transgender health care?
Your Support Saves LGBTQ+Youth's Lives Every DayDonateThe Trevor Project’s 2025 U.S. National Survey on the Mental Health of LGBTQ+ Young […]
Annenberg Health and Science Survey Wins AAPOR’s Policy Impact Award | The Annenberg Public Policy Center of the University of Pennsylvania
The Annenberg Public Policy Center's ASAPH survey has won the American Association for Public Opinion Research’s 2026 Policy Impact Award.
How do Taiwanese feel about the Cheng-Xi meeting?
Lev Nachman and Wei-Ting Yen present original survey data evaluating how Taiwanese voters saw the Cheng-Xi meeting.
DOH RECRUITS TEEN HEALTH AND MEDIA SURVEY PARTICIPANTS VIA MAIL
HONOLULU —The Hawai‘i Department of Health (DOH) will conduct the 2026 Hawai‘i Teen Health and Media Survey over the next two months. Information collected will be used to develop and improve health programs and services for Hawaiʻi’s youth. In the coming weeks, some households across the state will receive a mailed letter from DOH with […]
Maria Shriver highlights new survey on women’s health, financial strain
Is the FDA Really Suppressing Science? Plus. . .
It’s Thursday, May 7. This is The Front Page, your daily window into the world of The Free Press—and our take on the world at large. Today: Aaron MacLean says Trump is poised to snatch defeat from the jaws of victory in the Iran war. Joe Klein on the life of CNN founder Ted Turner. Jillian Lederman on why cruise ships are here to stay. And much more. But first: Is the FDA suppressing science? On Tuesday, The New York Times published a story with an alarming takeaway. “FDA Blocked Publication of Research Finding Covid and Shingles Vaccines Were Safe,” read the headline. It is the latest in a string of stories that all have the same message: The Food and Drug Administration (FDA), and other agencies, are engaged in a cover-up—and silencing scientists trying to get the word out about the Covid vaccine. What all these stories suggest—some more subtly than others—is that the outsiders now running the public health establishment, officials such as Marty Makary at the FDA and Jay Bhattacharya at the National Institutes of Health, are on a revenge tour. That they are doing harm to the country to get back at the scientists and bureaucrats who ostracized them for deviating from the public-health consensus during the pandemic. It’s a seductive narrative. But is it true? That’s the question we address in our latest editorial. —The Editors Read [ Marty Makary's FDA Has All the Right Enemies ](https://www.thefp.com/p/marty-makary-vaccine-study-fda) [ Trump Blinks First ](https://www.thefp.com/p/iran-peace-deal-pakistan-trump-strait-of-hormuz) Aaron MacLean In return for no detectable concessions, President Trump this week gave up on forcing open the Strait of Hormuz. Now, the Trump administration looks desperate for a deal to end the war with Iran. It’s easy to understand the desire to end the war, but are they blowing the chance at victory? Aaron MacLean makes sense of the administration’s latest moves—and Iran’s response—in his column today. Read full story Aaron MacLean and Niall Ferguson: Live in New York City Join Aaron MacLean and Niall Ferguson on May 19 for a live recording of School of War at the iconic New York Historical. In a conversation as timely as it is wide-ranging, Aaron and Niall will explore the strategic stakes of the moment, including the Middle East, China, and the future of American leadership on the global stage. Get Tickets Now [ Ted Turner, the Optimist Who Built CNN ](https://www.thefp.com/p/ted-turner-cnn-tribute) Joe Klein The man who gave us CNN and the 24-hour news cycle, Ted Turner, died Wednesday at the age of 87. Today, political writer Joe Klein—who almost ghostwrote Turner’s autobiography—remembers his friend, the American media mogul who stood out for his idealism and lack of a filter—something that got Turner in trouble more than once. “His was not a traditional intelligence, but one of horizon: Ted saw things before other people did,” Joe writes. Read full story [ Nothing Can Sink the Cruise Ship ](https://www.thefp.com/p/cruise-ship-hantavirus) Jillian Lederman A viral outbreak on a cruise ship that left three passengers dead has left some people wondering: Are cruise ships on the way out? Not so fast, says Jillian Lederman, who has been on many a cruise herself. Read her piece on why 38 million people a year take a cruise—and aren’t about to stop. Read full story [ The Great Writers Who Were Terrible People ](https://www.thefp.com/p/the-great-writers-who-were-terrible) Shilo Brooks Throughout history, some of the greatest literary geniuses have also been immoral bigots. In the latest episode of Old School, Shilo Brooks is joined by Eli Lake for a conversation about those geniuses, from Voltaire to Norman Mailer and Roald Dahl—and why we should read their work despite their odious prejudices. Listen on MORE FROM THE FREE PRESS [ Inside the Digital Intifada ](https://www.thefp.com/p/digital-intifada-social-media-hamas-terror) Warren Kinsella Read full story [ This Week in American History: Trump’s Over-Arching Problem ](https://www.thefp.com/p/this-week-in-american-history-trumps-over-arching-problem) Jonathan Horn Read full story [ Humanity Is Still Evolving—and Fast ](https://www.thefp.com/p/humanity-is-still-evolvingand-fast) Razib Khan Read full story THE NEWS Thirteen D.C. Metropolitan Police officers have been placed on administrative leave and could face termination after an internal investigation found evidence that crime statistics were manipulated to make the city look safer. The Republican-led House Oversight Committee previously alleged that former D.C. police chief Pamela Smith pressured officers to skew data. Tennessee Republicans unveiled a redrawn U.S. House map yesterday that would split up Memphis’s black-majority Democratic district, the latest move in a nationwide push to redraw congressional boundaries ahead of the midterms. The effort follows a Supreme Court ruling last week on Louisiana’s districts, which Tennessee House Speaker Cameron Sexton said gave states the green light to redraw maps along partisan lines. Israel struck Beirut for the first time since a ceasefire with Hezbollah took effect last month, saying it targeted a commander of the militant group’s elite Radwan force in the city’s southern suburbs. The strikes risk destabilizing that truce at a delicate moment, as Iran and the U.S. report progress toward a deal to resolve their own standoff. The U.S. Air Force is aiming for a Fourth of July delivery of a Boeing 747 gifted by Qatar, hoping to add it to the Air Force One fleet in time for the U.S.’s 250th anniversary, Reuters reported. (For more on the controversy surrounding the aircraft, read Jed Rubenfeld’s piece “It’s a Terrible Idea, but Trump Probably Can Accept a Free Jet from Qatar.”) Commerce Secretary Howard Lutnick testified privately before Congress that he has no memory of why he and his family dined on Jeffrey Epstein’s private island in 2012, according to Reuters. The admission contradicts Lutnick’s earlier claim that he had cut ties with the convicted sex offender well before that visit. Weeks before a former JPMorgan investment banker filed a lawsuit packed with explosive allegations, the bank reportedly offered him $1 million to settle his sexual assault and harassment claims, according to The Wall Street Journal. The suit, filed by Chirayu Rana, alleges he was sexually assaulted by a female colleague, subjected to racial discrimination, and forced into a degrading dynamic at work. JPMorgan says the claims lack merit, and the female colleague’s lawyers call the accusations fabricated. A new report from the Hartford Institute for Religion Research shows that, for the first time in roughly 20 years, church attendance is trending upward, with more people volunteering and clergy expressing renewed optimism. The study’s authors described the findings, based on a survey of more than 7,400 congregations, as showing signs of widespread recovery from low attendance numbers.
Bullying and Politics Fuel Suicide Risk for LGBTQ+ Teens and Young Adults, Survey Finds
By Dennis Thompson HealthDay ReporterTHURSDAY, May 7, 2026 (HealthDay News) — More than a third of LGBTQ+ young people have seriously considered suicide in the past year, driven by bullying from both peers and politicians, a new survey has found. About 36% of LGBTQ+ teens and young adults seriously ...
Rochester tourism survey reveals demand for more attractions, entertainment
Experience Rochester released survey results on Wednesday that could reshape how it markets the city to the world.
The night sky could get three times brighter as new satellites launch — all but ruining the Vera C. Rubin Observatory's survey of the universe
Extremely bright satellites and megaconstellations could make the night sky up to three times brighter than it is now, a new study warns. This would seriously hinder astronomical imaging devices, like the enormous camera at the Vera C. Rubin Observatory.
1 in 10 LGBTQ+ youth attempted suicide in past year, survey finds
Young LGBTQ+ people are struggling with their mental health, according to a national survey − and an organization says discriminatory politics aren't helping.
The best Mississippi high schools for athletes? According to a study, here are top 25
Survey says! Here are the high school for athletes in Mississippi. Did your school make the list?
National Institutes of Health Grant Terminations Disproportionately Impact Minority Scientists
Survey of nearly 1,000 researchers whose grants were cut shows BIPOC, LGBTQ+ and women investigators faced higher odds of targeted equity-related terminations, raising concerns about long-term impacts on the U.S. scientific workforce
Many Small Business Owners Lack Financial Safety Net
Recent surveys reveal entrepreneurs struggle in financial resilience and succession planning.
NASA’s Next-Gen Near-Earth Asteroid Space Telescope Takes Shape
The Near-Earth Object (NEO) Surveyor — NASA’s first infrared space telescope purposely designed to discover potentially hazardous asteroids and comets — is
German firms abroad grow more pessimistic as Iran war disrupts supply chains
German firms operating abroad have become more pessimistic about their prospects, with nearly one in three expecting economic conditions to worsen as the Iran war exposes vulnerabilities in global supply chains, a survey showed on Tuesday.
Health Watch: Melanoma Monday - Gen Z survey reveals sunscreen myths & rising skin cancer risks
Higher Ed Has New Business Model: Uncertainty
An exclusive Chronicle survey shows the starkness of the challenge.
Business Leaders Recast Insurance as Strategic Resilience Tool, Not Just a Cost
A global survey of C-suite leaders found that 87% expect commercial insurance to become increasingly strategic over the next three years, according to a report from the Worldwide Broker Network and MarshBerry.
Local Snapshot: Most Small Business Owners Aren’t Prepared for Succession, New Chase Survey Finds
New Chase survey data shows a significant gap between small business owners’ retirement timelines and their readiness to transition leadership. While nearly ...
Iran war strains global business travel, as companies adjust meeting plans
Global conflicts are causing some companies to examine their “duty of care” policies and could bring back more virtual meetings, the survey found.
Rising sports streaming and ticket prices impact DePaul students and faculty
The price of watching sports has become an increasingly frequent complaint from fans. Between the rising fees of streaming services and the small fortune that tickets now cost, many fans have had to cut back on watching games, according to a survey of 3,500 by Deloitte, published in March 2026. At DePaul, students and professors...
Valve: 67.74% of Steam users run Windows 11
Valve has released the latest Steam Hardware & Software Survey data, showing Windows 11's continuous climb among the gaming audience.
EDC relaunches economic survey to assess business, workforce needs
Submitted by the Economic Development Council.
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field
‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field ‘The reality, for better or worse’: Columbia comp sci students and faculty grapple with AI’s disruption of the field A field that once seemed like a direct path to stable, lucrative work is becoming less certain under AI, students and faculty told Spectator. By Ria Vasishtha and Arjun Menon May 3, 2026 Shanying Liu / Deputy Illustrations Editor Asia Genawi, SEAS ’29, first encountered artificial intelligence during her sophomore year at her high school in Indiana. Back in 2023, policies on AI varied widely—even within the same district—and some schools had no guidance at all. As Genawi began to see the effects of AI trickle into her classroom, she turned to guidance from her home state’s Department of Education, which she said she found “outdated and inaccessible.” Genawi spent the rest of her high school career dedicated to the issue, including writing a 15-page memo exploring varying AI policies across Indiana schools, which she sent to every Indiana state senator and representative whose contact information she was able to find. She later helped draft a bill that would have required public high schools to establish and share their own AI policies with students in an accessible format. But with so many other bills already awaiting referral, hers never made it to committee. When Genawi arrived at Columbia to study computer science, she found that the gaps she had spent years trying to address in Indiana had followed her there. Many students and professors were also grappling with what AI meant for the field. Across Columbia’s undergraduate schools, computer science has become the most popular major—accounting for around 11 percent of degrees awarded in Columbia College, 32 percent in the School of Engineering and Applied Science, and 12 percent in the School of General Studies in 2024. While the number of computer science majors in SEAS grew from 166 to 173 during the 2024-25 academic year, the total number across the three schools fell around 4.5 percent from 393 to 375, driven by declines at Columbia College and General Studies. At Barnard, it has grown to become the second most popular major as of 2025, up from third the year prior. The number of degrees awarded have grown fivefold since 2016. Faculty members and students in the department told Spectator that the surge in the major’s popularity has been driven in large part by its apparent promise of a secure, well-paid career path. However, they noted that the recent rise of generative AI has compromised the sense of stability that once defined the field, even as interest in technical skills among students persists. According to data from the Federal Reserve Bank of New York in 2024, out of 74 majors tracked, computer science had the fifth highest unemployment rate among majors at 7 percent, while computer engineering had the second highest at 7.8 percent. “Anecdotally, people are moving away from CS as a major,” Daniel Bauer, a senior lecturer in the computer science department, said. “They’re still taking some of our classes, right, because they think they need that, but they’re instead majoring in other things.” Bauer described a field that had shifted from what he called a “nerdy outlier discipline” to one that “everyone needs,” a sign that technical skills have become a baseline expectation across industries with the emergence of AI. “A lot of people thought, ‘Oh, it’s a guaranteed path to a stable income. You get a six-figure job right out of your undergrad,’” Bauer said. Now, companies may see AI as a way to reduce demand for entry-level programmers, especially in what he calls “code monkey jobs,” roles where a large number of employees are “just writing out code nine-to-five.” Chris Murphy, a senior lecturer in the computer science department, described the current moment as the convergence of two forces: the downturn of the job market and generative AI coming onto the scene. “Things kind of started to really pick up in 2014, 16,” he said, recalling the years after the weaker 2010 market. Murphy added that this was also a period where “students were getting more experience outside of class than they were inside of class” through internships, jobs, and side projects. Murphy suggested that the earlier momentum helped make computer science feel like both an academic program and a reliable pathway into work. That feeling is harder to sustain now as the industry reconfigures, which is a shift that students are seeing firsthand. Rebecca Yu, SEAS ’27, said that during a recent internship in Big Tech, she saw that “every single tech company was racing to integrate” large language models. She added that her manager said her intern class was the first to complete their assigned projects, which she attributed to the increased efficiency that comes with AI. Frank Liu, SEAS ’29, said that with AI lowering the barrier to coding, companies now expect everyone to write code. “A lot of companies outright say if you’re not using coding in your job, you might get fired for not being productive enough,” Liu said. Yu similarly expressed that students increasingly have to accept AI being a part of industry workflow, adding that many also “make use of it to maximize their productivity.” Richard Li, CC ’28, described a “franticness” among his peers as the pace of change accelerates. He explained how “some new tool” is released regularly, noting that tools rise and fall in prominence within weeks. He has come to believe that he doesn’t need to “match that speed all the time” and keep up with every development. Li has learned that AI tools allow him to “take a breath” and “get back into the loop much easier than before” when he needs to. While some companies specifically target Columbia when hiring, sending representatives to campus career fairs and recruiting large numbers from Columbia, a computer science degree cannot be treated as a static credential, Yu described. “You can’t just get your degree and stop learning after that. You have to always be learning,” Yu said. “That is something you basically have to expect for your job.” AI has not only affected students’ decisions to major in computer science, but also reshaped how the subject is taught. Across departments, faculty members no longer treat work done outside the classroom as a reliable measure of understanding, shifting instead toward in-person exams, quizzes, and attendance checks. While homework once made up as much as 60 to 70 percent of a student’s grade in computer science classes, Murphy said that breakdown has since flipped, with exams and quizzes now accounting for the majority. “The assumption—especially among pessimists—is that they’re using it to do their homework,” Murphy said. “They take the homework assignment. They put it into generative AI. Out comes the solution. Submit solution. The end.” Murphy said that faculty members ranged in their responses from fully prohibiting AI use to actively teaching students how to effectively work with AI. He said he shifted his approach this year after his teaching assistants called his belief that students weren’t using the technology “naïve,” and now permits students to use AI on assignments. His surveys of students in his introductory classes have told a more complicated story than the one so-called pessimists offer: Around 60 to 70 percent of students who reported using AI said they used it to have concepts explained to them, to clarify assignment instructions, to generate test cases, or to create practice questions. “Those are all ways that you might have had a tutor in the past to do that, and now you have this AI essentially as your tutor,” he said. Bauer has taken a different approach, teaching students how to use AI productively without sacrificing the core principles of the discipline. “People who are trained to actually use AI tools productively, while being in charge of designing the overall project, will be very much in demand in the next couple of years,” he said. Over the past year, a working group of computer science faculty has been redesigning the introductory and intermediate programming sequence to integrate generative AI as both a subject and a tool, representatives from SEAS wrote in a statement to Spectator. The effort is “coordinated” across the department, “not course-by-course,” with a systematic assessment of how AI integration is affecting student outcomes underway to shape the next round of changes. The goal, the department explained, is for students to be able to “read, verify, and reason about code, whether they or a model wrote it.” Tony Dear, senior lecturer in the computer science department, is piloting individualized AI feedback in a discrete mathematics course, while a machine learning course is also testing a Socratic AI dialogue system designed to “guide inquiry rather than supply answers,” the statement reads. Beyond individual courses, SEAS funded seven cross-departmental faculty projects in generative AI this past academic year, spanning biomedical engineering, chemical engineering, industrial engineering, and computer science, according to the statement. This phenomenon extends beyond the computer science department. SEAS’ new AI minor, which it announced in November 2025, reflects the University’s attempt to adapt. The minor is specifically designed for noncomputer science majors and aims to provide “essential AI knowledge” while emphasizing practical and responsible use across disciplines, according to the SEAS website. At the center of the minor is AI in Context, a course taught by a team of faculty from the departments of computer science, applied mathematics, philosophy, music, literature, and the Writing Center, the representatives told Spectator. Bauer described it as targeted at students who want to bring AI into fields like economics or biology, rather than as a path into software engineering itself. At the graduate level, SEAS announced a new Master of Science in artificial intelligence in February, with the inaugural cohort starting in the fall. While recognizing how AI has helped them navigate coursework, students also described its rise as isolating, even among members of the Application Development Initiative, one of Columbia’s largest computer science clubs. “As people start to ask AI for questions that they would normally ask students and members, it starts to isolate people” Li said. Alexa Kafka, BC ’27, echoed Li’s sentiment, pointing out that computer science has always been a collaborative discipline with code reviews and pull requests, even as AI makes independent work easier. Despite this, Kafka noted that she hasn’t been to office hours “in at least a year.” Bauer added that faculty are exploring long-term solutions to the assessment problem. “One of the things that we’re trying to do at the department or school level is to maybe move towards computerized testing facilities,” Bauer said, referring to ideas in the department to revitalize computer labs as an alternative to pen-and-paper exams. “We have to accept that this is the reality, for better or worse.” But more exams, students say, does not mean better learning, nor does it reflect how computer science is actually done. “Code is so variable and can be approached in so many directions, there’s never just going to be one correct answer. There can be multiple optimal solutions,” Kafka said. Students also expressed concern that the shift toward exam-heavy grading pulls focus away from the applied, project-based work that better reflects both discipline and industry expectations. ADI has tried to respond more quickly than the curriculum can. Through a vibe coding workshop this past semester, club members said they wanted to help students understand not just that AI exists, but how to use it deliberately. “Vibe coding” refers to the practice of prompting AI to write code for a task or project, and has become widespread enough that ADI felt the gap in formal instruction was worth addressing, according to Sophia Huang, BC ’29. The workshop introduced students to the concept of context engineering, which Shaina Sahu, SEAS ’27, described as not just writing a prompt, but optimizing “the rest of the relevant information that you would feed into the model.” Without that, students said that AI-generated code can fail at scale or introduce difficult-to-detect bugs. Genawi said the shift toward AI has changed what it means to be good at computer science. “I think the shift has kind of gone towards what can you create and what can you do, instead of, what do you know,” she said. Indeed, during ADI DevFest, its annual hackathon, Li said more teams are trying to complete their projects than in years past. While sign-ups have historically outpaced submissions, Li said this is beginning to change because teams “have a tool that completes the vision for them.” While many students see AI as an equalizer that lowers the barrier to entry for coding and technical work, Murphy said it also creates new equity concerns inside the classroom around who can afford stronger tools and who already knows how to use them. “The equity issues I worry about are students who have access to paid versions of things versus free versions of things,” he said. Although popular AI models like ChatGPT and Claude have free versions available, both have paid models that can reach over $100 per month, which output different qualities of code. Murphy also pointed to differences in prior exposure to AI literacy itself. “Students who go to high schools or K-12 education, where they’re taught AI literacy, prompt engineering, context engineering, they understand how to do this, as opposed to students who go to schools who don’t teach that,” he said. “Then they come in, and then they’re somehow expected to know how to use these tools.” For Genawi, those disparities begin long before students arrive on campus. “It’s very interesting to consider how lucky you were geographically,” she said. “To be born where you were is influencing your ability to get access to these spaces.” Students like Yu, though broadly apprehensive about the future of computer science, are not without hope. “I’m optimistic, because I think if you’re truly passionate about CS, there will definitely be a place in the field to do something you want to do,” she said. Senior Staff Writer Ria Vasishtha can be contacted at ria.vasishtha@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Staff Writer Arjun Menon can be contacted at arjun.menon@columbiaspectator.com. Follow Spectator on X @ColumbiaSpec. Want to keep up with breaking news? Subscribe to our email newsletter and like Spectator on Facebook. Produced with Spectate by Emily Ta
Which Michigan schools are best for athletes? According to one study, here are top 25
Survey says! These 25 Michigan high schools are the best for athletes in 2026.
Radiologists among physician specialists facing higher risk of being sued, AMA says
About 38% of rads surveyed said they had defended against at least one lawsuit, with such specialists at a higher risk than others in internal medicine.
Doctors agree: There’s a lot to love about cardiology’s future
According to a new survey, both cardiologists and noncardiologists feel good about the specialty's long-term health.
The data we can’t afford to lose: Why Demographic and Health Surveys matter now more than ever
At a moment when global health and development funding is tightening, one of the most important tools is as risk—data.
Beyond medication: factors contributing to uncontrolled hypertension from the 2023 Indonesian health survey
Hypertension Research - Beyond medication: factors contributing to uncontrolled hypertension from the 2023 Indonesian health survey
New Survey from Harvard Business Review Analytic Services Finds AI Adoption Remains High, Yet Value May Lag Without Modernisation and Workflow Integration
Most organisations have moved beyond experimenting with artificial intelligence, but few are realising its full value. New research from Harvard Business Review Analytic Services, sponsored by Appian, finds that while 59% of organisations (who are moving forward with AI to some extent) have AI in production, the majority are currently focused on incremental gains that prioritise efficiency and productivity over top-line growth.
Science Films Can Inspire Mindful Observation That Grounds Audiences in Local Nature
Surveys show science films help audiences comprehend new concepts through visual narratives. During Climate Week NYC 2025 last September, more than 100 people gathered on Governors Island for a screening of OBSERVER, a documentary film from the Science Communication Lab. The New York Climate Exchange, Stony Brook University and Science Communication Lab/Wonder Collaborative partnered to
Biosphere 2 poised to become a launchpad for landscape terraformation science
"From Early Earth to Mars" explores how life can transform planets in an effort to make Mars habitable while keeping Earth livable. At Biosphere 2, the LEO Survey's massive hillslopes allow researchers to monitor how bare rock gradually evolves into biologically active terrain in real time and virtually via a digital twin model.
Many Democrats are stressed out by the news. They still can't turn away, a new poll finds
A new AP-NORC survey finds that most U_S_ adults try to avoid news stories about President Donald Trump at least “sometimes.”
How the Science of Reading Is Reshaping Teaching: What the Data Say
A nationally representative survey shows how reading curriculum, PD, and teacher practice have shifted.
Texas A&M AgriLife launches national equine metabolic health survey
A Texas A&M AgriLife survey of horse owners and industry professionals seeks to quantify the prevalence of equine endocrine disease
Survey reveals extent of pressure parents put on kids through sports
Why do children participate in sports, quit sports or maybe never even start them in the first place? Kids survey points directly and mom and dad.
The universe may end trillions of years sooner than we thought
Recent surveys hint that the rate of cosmic expansion changes dramatically over time; if that's true, then the universe could end much sooner than we thought, new research suggests.
Formula 1 fan survey: Your thoughts on the new regulations, and the sport’s future
We want your take on the 2026 cars, the quality of racing so far, how well you understand the new rules and where we go from here.
A global survey on trust, digital health literacy and health information quality
Nature Health - An online cross-sectional survey across 30 countries, including 31,000 adults, explores perceptions of quality health information, with respect to source type and inclusion of...
Scientists esteemed by public, with vaccine scientists seen as similar to scientists in general
An Annenberg Public Policy Center survey finds that nearly 7 in 10 Americans trust vaccine scientists a moderate or greater amount to act in the best interests of “people like you."
Most Americans value brain health, but a new Alzheimer's report finds few know how to protect it
According to the survey released this month, 9 in 10 adults aged 40 and older said brain health is a top priority, on par with physical health. But only about 1 in 10 actually know how to maintain it.
Patients say they want Alzheimer’s blood tests. Doctors aren’t sure they help.
A survey of nearly 600 adults found that 85% would get an Alzheimer's blood test if their doctor recommended it.
Health insurance and end-of-life healthcare expenditures: evidence from Chinese Longitudinal Healthy Longevity Survey
npj Health Systems - Health insurance and end-of-life healthcare expenditures: evidence from Chinese Longitudinal Healthy Longevity Survey
Rapid City employees weigh in on the best sports movies of all time
A City staff survey asked employees to name their must-watch sports movie. Baseball films led, with The Sandlot, Happy Gilmore and Miracle topping the list.
Raiders draft grades Reacts survey: Grading the full 2026 class
Checking the pulse of Raider Nation
The AI Tools Small Businesses Are Using - Small Business & Entrepreneurship Council
By Karen Kerrigan – Artificial intelligence is no longer experimental for small businesses. According to SBE Council’s 2026 Small Business Tech Use Survey, 82% of small business employers have invested in AI tools and they are rapidly being embedded across daily functions and workflows. In fact, AI has become essential to competitiveness and growth as […]
Seahawks draft grades survey: Grading Seattle’s full 2026 class!
What’s your grade for the 2026 Seahawks draft class? Vote now!
Broncos draft grades Reacts survey: Grading the full 2026 class
Welcome to SB Nation Reacts, a survey of fans across the NFL. Throughout the year we ask questions of the most plugged-in Seahawks fans and fans across the country. Sign up here to participate in the weekly emailed surveys. The 2026 Draft has come to a close, and the Broncos have added some key players […]
Michigan group pushes to get big money out of politics
A new push to limit corporate money in Michigan politics appears to be gaining traction.There is strong bipartisan support for restricting political contributions from regulated monopolies and companies seeking government contracts, according to a survey commissioned by supporters of the proposal. S...
Science Films Inspire Mindful Observation, Ground Audiences
Audience members from a September 2025 screening of the documentary OBSERVER ay Climate Week NYC were surveyed on why audiences engage with science films.
US business activity recovers in April, war with Iran is boosting prices, S&P Global survey shows
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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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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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