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'Extreme' crystal that formed in 1945 nuclear bomb test is unlike anything scientists have seen
Samples of "trinitite" created during the world’s first nuclear bomb test in 1945 contain unique crystals never seen before.
England fans at World Cup opener at risk of health complications due to extreme heat - academics
England fans in Texas for next month's FIFA World Cup opener against Croatia are among those most at risk of health complications caused by extreme heat, academics have warned.
Humid Heat: A Growing Health Risk in a Warming Climate
The combination of extreme heat and humidity is dangerous and becoming more common in our warming climate.
Extreme heat is worsening faster for Black Americans
Bill Cassidy's can't-win conundrum, what RFK Jr. gets right and wrong about antidepressants, and more health news
As El Niño Approaches, Scientists Predict Fierce Heatwaves, Wildfires and Floods
Emerging Pacific Ocean heat, combined with ongoing human-caused global warming, is a grim recipe for deadly climate extremes. Heat alone already kills more than 500,000 annually.
80 years after the Trinity nuclear test, scientists identify new molecule-trapping crystal formed in the blast
Matter behaves strangely under extreme conditions, and often, remnants of these behaviors are left behind even when conditions return to normal. The Trinity nuclear test in 1945 left behind such remnants, ...
Scientists Subjected Fruit Flies To Hypergravity And Their Behavior Became Counterintuitive
Some of the flies were subjected to extreme hypergravity for 10 whole generations, living out their lives in conditions found around a super-Jupiter.
Locking up key contributor named Eagles' most underrated offseason move
It has been an extremely eventful offseason for the Philadelphia Eagles. The Eagles made several major additions over the offseason, including edge rusher Jonathan Greenard and wide receivers Hollywood Brown, Dontayvion Wicks and rookie first-round pick Makai Lemon. Locking up defensive tackle Jordan Davis on a three-year, $78 million extension was named Philadelphia's most underrated offseason move by Jeff Kerr of Sports Illustrated.
Billy Bob Thornton reveals the lifelong health battle behind his extreme diet
Billy Bob Thornton opens up about his restricted diet, rare blood type and food allergies that have influenced his unusual eating habits for decades.
Beware: Smart Glasses Are the New Tool for Extortion
One woman was recently told to pay up if she wanted clandestine footage removed from social media.
“Windows 11 Still Relies on Code From the 1990s…” Microsoft Stock (NASDAQ:MSFT) Slips on Revelation of Windows 11 Code
The old saying goes, if it ain’t broke, don’t fix it. But tech giant Microsoft ($MSFT) may be taking that to an unexpected extreme as it revealed that Windows 11
Trump's Truth Social lays bare narrow obsessions of an extremely online president
The bulk of the president's social media posts don't make news. But taken together they show what's on his mind as he leads the nation through war and domestic turmoil.
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.
'Food insecurity is no longer just about low-income countries': Environmental economist explains how climate change is pushing agricultural systems to the brink
As a U.N. report warns that extreme temperature swings are disrupting crops and endangering agricultural workers, we spoke with environmental economist Shouro Dasgupta about farming in an overheating world.
Roku and TCL Accused of Bricking Smart TVs Through Software Updates
A class action lawsuit argues that marketing materials promise reliable performance and ongoing improvements through updates that actually ruined consumers' TVs.
How States Are Navigating the Intersection of Disasters and Public Health
As state officials seek to address the full scope of extreme weather impacts, they must look beyond physical damage metrics—washed-out roads, downed power lines, and destroyed buildings—to broader health effects that are increasingly evident in emergency rooms, public health data, and community well-being.
Caleb Downs Is the Cowboys’ Best Pick in Years
Caleb Downs very clearly has “it.” It’s extremely premature to make a claim as bold as “best in a decade” before a draft pick touches the field in training camp, let alone at game speed. However, some people have “it”—an aura people can see on film and in real game time. Every draft has a […] The post Caleb Downs Is the Cowboys’ Best Pick in Years appeared first on The Lead.
Trump keeps saying the quiet part out loud on changes to the 2026 election
President Donald Trump’s latest gerrymandering push is an extremely desperate partisan power grab that would invalidate votes already cast.
Greenland ice melt has surged sixfold and scientists are alarmed
Greenland’s ice sheet is now melting in ways never seen before, with extreme events becoming more frequent, widespread, and intense. Since 1990, meltwater production has skyrocketed, and most record-breaking events have occurred in recent years. Scientists say warming temperatures are supercharging these episodes beyond natural climate patterns.
Democrats slammed for 'dehumanizing' rhetoric amid concerns about political-fueled violence
Political analyst Gianno Caldwell discusses dangerous political rhetoric and its consequences, including an assassination attempt on President Donald Trump. He also examines how extreme language and socialist policies impact the country.
Scientists built a memory chip that breaks the rules of miniaturization
A new kind of memory device may finally solve the problem of overheating and battery drain in electronics. By shrinking components to an extreme scale and redesigning their structure, researchers found a way to reduce energy loss instead of increasing it. The result is a tiny memory unit that improves as it gets smaller—something once thought impossible. This could pave the way for ultra-efficient smartphones, wearables, and AI systems.
Comey Indictment Shows Justice Dept. Got the Message From Bondi’s Firing
In naming only an interim successor as acting attorney general, President Trump has established even greater incentives to execute his most extreme demands, current and former officials say.
Museum of Science and Mystic River Watershed Association Honored with 2026 Boston Climate Leader Award for Research and Innovation
BOSTON, April 30, 2026--The Museum of Science, in partnership with the Mystic River Watershed Association, has been selected as a recipient of the 2026 Boston Climate Leader Awards in the Community Organization category for Research and Innovation. The award recognizes the organizations’ groundbreaking work engaging communities in climate research and advancing understanding of extreme heat as an environmental justice issue.
A New Jersey Republican hasn’t voted in weeks, sparking questions over lengthy absence on Capitol Hill
Republican Rep. Tom Kean Jr. of New Jersey has not voted in Congress in weeks, sparking questions over when he will return to Capitol Hill as he faces a competitive race for reelection back home and Speaker Mike Johnson oversees an extremely narrow House majority in Washington.
Brain scans reveal 3 ADHD subtypes, including a more extreme form
A study analyzing 1,154 children and adolescents breaks new ground in how to think about the growing diagnosis.
Democrats Regret Creating Independent Redistricting Commissions After Supreme Court Ruling
A decade ago, the party sought independent redistricting commissions. Now, in an era of extreme gerrymandering, such efforts could slow Democrats as they try to keep up with Republicans.
Viewpoint: A career in science is possible, and worth it
Starting a career in science is exciting, but also demanding, with researchers often faced with intense competition, long working hours and high levels of stress. A pioneer in the field of mass spectrometry, Carol Robinson has been there. She speaks with Science|Business on the importance of creating a supportive environment, particularly for women.Robinson did not wake up one day thinking that she would become a scientist. It was only late in school that she developed an interest in chemistry. “The more you work at something, the more you think, actually, this is fascinating. So, I went much further and deeper than I ever needed to pass the exam. And then I loved it,” she says. “I thought, I’m going to give it my all. I’m going to enjoy it while I’m here. But I didn’t think this would be my career for 50 odd years.”She left school at 16 to become a lab technician with the drug company Pfizer, which is where she first worked with mass spectrometry. Fascinated, she was encouraged to take a part-time degree and then a PhD. She went on to do pioneering work in native mass spectrometry, a technique that is used to study protein structures in their natural state, paving the way for breakthroughs in drug discovery. She also broke new ground by becoming the first female professor of chemistry at the University of Cambridge, and then the first female professor of chemistry at the University of Oxford, her current home.She now wants to show young researchers that a career in science is worth it. “Sometimes, I believe the culture isn’t very encouraging, and that’s something I have worked on,” Robinson says.In 2021, she launched the Kavli Institute for Nanoscience Discovery at Oxford, whose acronym gives a sense of what she hopes it will achieve. “Maybe it is corny,” she says. “It’s just a reminder that I would like it if we could all be kind to each other and supportive, especially for early-career researchers of either gender, because there’s quite a big attrition rate in science, and maybe it just doesn’t feel like a very friendly place to work.”And yet, a career in science comes with a lot of flexibility. “There are few careers where you have that amount of freedom, to go to conferences, to the library. Just because you didn’t see me didn’t mean I wasn’t working,” she says. “And I’m excited to come in every day. So, I don’t want people to think it’s a terrible place.”Gender equality is also important when it comes to the quality of science as a career. “The more women we have, the better it becomes,” Robinson adds.Imposter syndromeAccording to EU data, women outnumber men in university education but account for just about a third of graduates in science, technology, engineering and mathematics (Stem). And while the number of women working as scientists and engineers in the 27-member bloc is on the rise, their representation remains below that of men, at 41%. This discrepancy is even more pronounced in top-tier functions across these fields, where women fill just 20% of positions.Having supervised many young scientists, Robinson sees that women continue to have a greater propensity than men to doubt their abilities, a feeling she once shared. “When I was doing my PhD at the University at Cambridge, I really felt like an imposter,” she says. “I don’t think I ever felt I deserved to be there or owned it and was proud. I just thought I was lucky.” Later on, she adds, “I was always that person who said, I can’t apply yet because my CV is not strong enough.”She has now made it her job to encourage women to break with this imposter syndrome. For example, rather than calling for volunteers to give a lecture in the groups that she mentors or teaches, which nearly always results in men stepping forward, she goes straight to the women, “because I know they won’t push themselves forward.”But the gender gap in science is not just down to imposter syndrome. The “obvious” reason, Robinson says, and the reason that is on everybody’s mind when discussing workplace gender equality, is the balance between work and raising a family. Her own path was to choose between the two, taking an eight-year break after completing a postdoctoral training fellowship to bring up three children. And she continues to advise women not to work part-time while they raise a family. “You’ll just get half the pay and continue to work full-time because you are not able to fit everything in,” she says. “You should be able to have a family and come back to have the career that you want.”The solution is for men to also take career breaks. “That kind of evens it up, so that it’s not such a big thing for women,” Robinson says. “I always encourage men in my groups to do that. I think it’s important to take your share of the duties.”Support produces resultsAccording to the Women in Stem Network, a UK advocacy group, countries with strong childcare systems and equal pay policies retain more women in technical careers. In Europe, these are primarily found in the Nordic region and parts of central Europe.At the EU level, the European Commission asks all Horizon Europe applicant organisations to have a gender action plan in place. Since this criterion was introduced in 2021, the share of women leading consortia has increased to 31%, against 23% in Horizon 2020. Their overall participation, however, has risen just 1%, to 38%. After trying to weaken the requirement for gender action plans in 2025, the Commission now intends to adopt a plan for supporting women in research and innovation.Related articlesCommission scraps plan to water down gender requirements in HorizonHow gender balance can swing who wins Horizon Europe fundingRobinson herself has benefited from three Advanced Grants from the European Research Council. “I was extremely honoured and privileged to get those, because they really allowed me to fuel my passion,” she says. “Without that, it would have been a much harder slog.”Beyond applying gender rules, she says that more work is needed on translational enterprise, where women are, once again, largely underrepresented. The European Patent Office found that only 13.8% of applications were filed by women in 2022. “We have so many more women doing amazing science; why do they feel it’s not a thing to have a company?” she asks.She founded her own spin-out company, OMass Technologies, in 2016, and remains chair of its scientific advisory board now that it trades as OMass Therapeutics. As for research, Robinson is now studying how changes in the brain may be linked to depression, using port-mortem tissue. “We’re hoping to publish soon,” she says. “We had to consult with a lot of people who knew a lot more about the brain than we did. So, we’ve learnt a lot, and that’s always a lot of fun to learn a new thing. That’s what keeps you going.”
Significant rise in valley fever cases in El Paso linked to extreme weather, dust, study finds
A new study by researchers at The University of Texas at El Paso has identified a significant rise in Valley fever cases in El Paso over the past decade and found strong connections between the disease ...
Learn How to Stay Safe in Extreme Heat at Citywide Keep Austin Cool Day Events
The City of Austin is getting ahead of the heat this summer by hosting Keep Austin Cool Day. The day aims to raise awareness of the dangers of heat and its health impacts, and to distribute resources to help keep Austinites cool.
James Harden says Cavs 'extremely confident' after losses to Raptors
James Harden considers the Cavaliers' problems in Game 3 and 4 losses to the Toronto Raptors as "self-inflicted and things that we can control."
We need AI, but the political backlash cannot be ignored
The rapid development of data centers to support AI has sparked a grass-roots political backlash, threatening to result in extreme measures such as the ban on data center development imposed by Mai…
Texas' Top Criminal Court Has Stymied the State's 'Junk Science' Law. Will SCOTUS Intervene?
If the U.S. Supreme Court renders a decision in favor of Charles Flores and others, it would likely force the Court of Criminal Appeals to relax its extremely strict handling of appeals based on shoddy and outdated science.
Why Sustainability In Business Is Entering A More Operational Phase
Sustainability is still embedded across many corporations, which are now grappling with extreme weather events, driven by climate change.
How Trump’s America Produces Normie Assassins
The only extremism suspected would-be assassins like Cole Tomas Allen share is an extreme response to Trump’s deranging politics.
Why Doesn't Star Trek Ever Leave The Milky Way Galaxy?
Throughout the many adventures of Star Trek, it's extremely rare that the Enterprise (or any other ship) leaves the Milky Way galaxy. But why is that?
Five Formula 1 drivers who have taken on extreme sporting challenges
Tomorrow is the London Marathon, so there’s no better time to look at some drivers who’ve taken on some extreme sporting challenges.
Pokemon Z development build found, footage released
Brand new footage of Pokemon Z – which was never released – has now been shared. It goes without saying, but this was an extremely early development build. MDTravisYT posted about the discovery on social media. It’s noted that the source code has an “upper_fake” branch that compiles as VERSION_Z. This has a “unique” title screen alongside some “new” mega...
Scientists revive ancient 24,000-year-old ‘zombie worm’ from Arctic ice
Scientists revived a 24,000-year-old microscopic organism frozen in Siberian permafrost, offering new insights into how life endures extreme conditions.
New York City is at major risk of flooding that could leave 4.4 million people exposed to extreme damage, study finds
The new flood risk index identified eight cities along the U.S. East Coast that are at high or very high risk of floods causing extreme damage.
'A completely new reality': Bolder measures are needed to prevent extreme water shortages in cities like Phoenix and Las Vegas that depend on the Colorado River
Cities fed by the Colorado River have taken huge steps to reduce their water consumption over the past few decades, yet water shortages are projected to grow more intense. What can be done?
El Niño could be here by May, new forecast reveals — here's what it means for summer weather
The climate event is poised to supercharge weather extremes and push global temperatures to new highs.
Fires, floods and extreme weather will imperil a third of all life on land in the next 60 years
This forecast does not look good.
Could an Earthly Fungus Contaminate Mars? NASA May Have Found One Hardy Enough.
Researchers identified a species that can survive radiation, extreme heat and simulated Martian soil, posing a new challenge for protocols intended to keep the red planet pristine.
Focusing in on human health research at annual space meeting
Long-duration spaceflight can chip away at an astronaut’s health, prompting scientists to find new ways to make living in space easier on the body. The journey to outer space is incredibly dangerous, but crews must also face day-to-day hazards, such as exposure to cancer-causing radiation, microgravity and extreme isolation. Understanding and ...
Christian nationalists more likely to oppose gun regulations and support political violence, study finds
A new article finds that for Christian nationalists with a high gun-owner identity, there is an instilled culture of personal and community protection that makes them more likely to endorse extreme actions like violence.
Diablo 4: Lord of Hatred Review
An extremely satisfying conclusion to Diablo's latest demonic saga.
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
'Everyone's nervous': Wells Fargo CEO on how businesses and consumers feel about the economy
Wells Fargo CEO Charles Scharf said on Monday that the US economy right now is “extremely strong,” but he also acknowledged how bad sentiment is among Americans consumers and businesses.
2025 major champion puts 30-gram driver shaft into play
Miyu Yamashita opts for an extremely lightweight shaft profile to make some performance gains this week at the JM Eagle Championship.
Savannah named among Top 12 U.S. cities to watch on environmental health
Savannah has been named one of 12 cities to watch on environmental health through a national initiative recognizing work on extreme heat, air quality and infrastructure.
The extreme positions Trump proposes
President Donald Trump this month threatened to strike Iranian infrastructure in ways that might well be war crimes. It’s his latest extreme move that polls show his GOP base has embraced.
Dimensity 9600 Pro Beats A19 Pro And Snapdragon 8 Elite Gen 5 By 25% In Benchmarks, But Extreme Heat May Erase That Gap
A tipster shared the first single-core and multi-core scores of the Dimensity 9600 Pro, revealing it’s much faster than the A19 Pro and Snapdragon 8 Elite Gen 5
Rewriting political memory in Chile
Chile has elected extreme-right candidate José Antonio Kast as its new president. His victory, argues Anitta Kynsilehto, may reflect a broader process of rewriting political memory in the post-dictatorship era, suggesting that Chileans' memories of 'never again' moments are beginning to fade
Windows 11 Speeds Up Storage, Lifts 32GB FAT32 Limit After 3 Decades
This should help storage management feel faster and more user-friendly.
Ocean eddies are amplifying climate extremes in coastal seas, study finds
New research reveals a powerful yet overlooked driver of climate change: Intensifying ocean eddies.
95% of people carry this virus and scientists may have just found how to stop it
Scientists have taken a major step toward stopping Epstein-Barr virus (EBV), an extremely common infection linked to cancer and chronic disease. By using mice engineered with human antibody genes, researchers created powerful human-like antibodies that block the virus from attaching to and entering immune cells. One of these antibodies completely prevented infection in lab models with human immune systems, marking a breakthrough after years of difficulty tackling EBV’s ability to invade nearly all B cells.
Asking Eric: ‘Extremely online’ girlfriend shares too much
My friend sent me some of the links ... it wasn’t bad stuff, per se. Just her talking about going out to dinner with me or complaining about how I sleep ...
Public Health Actions for Extreme Heat Protections
The National Association of Community Health Centers (NACHC), National Network of Public Health Institutes (NNPHI), American Public Health Association (APHA), and ecoAmerica are partnering to offer the Public Health Actions for Extreme Heat Protections Training.
Trump’s Erratic Behavior and Extreme Comments Revive Mental Health Debate
As the president threatens to wipe out Iran and attacks the pope, even some former allies and advisers are questioning whether he has grown increasingly unbalanced, describing him as “lunatic” and “clearly insane.”
Trump’s Erratic Behavior and Extreme Comments Revive Mental Health Debate
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“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
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Steven Fulop on Fighting for Business Interests in Zohran Mamdani's New York
Steven Fulop, the new President and CEO of the Partnership for New York City, the city’s leading big business advocacy group, spoke with The New York Editorial Board on the morning of March 19, 2026. Fulop recently began in the role after 12 years as mayor of Jersey City and a 2025 run for governor of New Jersey. He replaced longtime Partnership President/CEO Kathryn Wylde. (photo by Liena Žagare) Participating journalists: Nicole Gelinas, Josh Greenman, Alyssa Katz, Ben Max, Akash Mehta, Harry Siegel, Ben Smith, Liena Žagare Full Transcript **Ben Max**Good morning. Thanks for being here. So start us off: The people who hired you for this role, what did they make clear were their top priorities for you coming into it, and for the Partnership, and what did you sort-of pitch as the direction you thought things could go? Give us a little of that bifurcation of where the minds met in terms of the priorities and the leadership for the new era. **Steven Fulop**Let me explain to you how I ended up in the job, OK? That’s probably a good starting point, because I don’t think anybody initially thought that I was the pick that they coveted or thought that would be an ideal fit for this position. I’d run for [New Jersey] governor, as you guys know, and I was very deliberate in the lane that I was taking as a candidate for governor. The same candidate when I ran for mayor and city council — it was outside the establishment. It was building on issues, single-issue voters — very, very concentrated on detailed policy. And I thought that if I could build an organization, outside of the typical political organization, of single-issue voters, you could become viable because they’re passionate people generally, OK? And one is mayor, outside the establishment doing that. You won two races in the country that Obama actually engaged in as president. Rahm Emanuel and Jeremiah Healy, my predecessor, was a ten-year incumbent. So we won based on this structure. Run for governor, kind of in that same model. And I thought at the time that 550,000 people would turn out in the election. That was based on history in a similar election, when Chris Christie left and it was Trump’s first-year primary, you know, changeover in governor. There was five hundred or four eighty-seven [thousand]. So I thought five-fifty was a bump up. Same numbers Sherrill had, Ras Baraka had. I thought five hundred and fifty thousand people in the election, six candidates running that are viable — two congresspeople, two mayors, senate president, and the teachers’ union president — that if I got to a hundred and thirty thousand votes, single-issue passionate voters, I would get in through the primary with twenty, twenty-five percent, and then put it back together even though I was kind of the outside establishment guy. I think I did everything perfect during that election, OK? With the exception of winning. Which is the big deal. But I miscalculated one thing. And I don’t know in hindsight how I could have changed anything. But I miscalculated that the turnout ended up spiking to eight-fifty, OK? So I said five-fifty. We all said five-fifty. Going into Election Day on Tuesday, and I’m a pretty pragmatic person. Going into Election Day on Tuesday, if you said, Steve, are you gonna win? I would have told you, we caught them and we’re gonna win, OK? We have more volunteers. I mean, to give you perspective on it: Uber, which is a data company, like, the week before, they wrote a million-dollar check to my super PAC, five hundred [thousand] to Sherrill, five hundred [thousand] to Ciattarelli. Election Day, the New York Times embedded one reporter, photographer for most of the day with only one of us, me. CNN, the day before, me, right? The trend was there. I miscalculated that there was an additional 300,000 people that came out. I saw, similar to here [in New York City], the voter numbers surging early, and I just thought it was a displaced Election-Day voter. I thought you were so excited to vote that you were voting early. I never imagined that there were 300,000 additional people voting. And if you tuned in late, then you would have ultimately– I had the wrong message. My message was, Trenton was broken, these are the things we would fix. And Sherrill, for example, was: I’m a helicopter pilot to fight Trump, right? Her message was better for that. It was over in five minutes. So why do I tell you that? I was shell-shocked, didn’t really know what happened, and the way this business works is when you lose, your phone goes dead. Nobody calls. It’s just, that’s it. Silence. And so, I’m trying to think about what happened and two weeks after the fact, I get a phone call by this guy. His name is Jim Simpson. He was Christie’s DOT chair, OK? Commissioner. And he worked on the widening of the Pulaski Skyway with me as the mayor of Jersey City. And Christie went after me with Bridgegate, and I was a government witness during Bridgegate. But even when nobody in the Christie administration could talk to me, Jim Simpson was always like, I have this major project going through Hudson County, predominantly Jersey City. I’m gonna deal with the guy. And he would tell you that Steve was a professional, good guy to deal with. I think that’s what Jim Simpson would say. I didn’t talk to Jim Simpson for 12 years. I lose the election. Two weeks after, I get a phone call. He leaves a voicemail. Hey, Steve, it’s Jim Simpson. Can you give me a call back? And I was kind of like fuck the world at that point. I didn’t want to call anybody back. And I called Jim Simpson back, and I was like, Hey, Jim. How’s it going? And he says to me, he says, Look, I’m very thankful you remember who I am, blah, blah, blah, blah. He said, Look, I had an issue in a warehouse I own in Jersey City. Didn’t know really how to navigate the building department. I figured it out, right? But thanks for calling me back. That was the conversation, OK? And I’m like, OK, great. You know? Whatever. So the conversation ended. He says, You know, I moved to Pennsylvania, but I’m sometimes up in New York. If I’m up there again, why don’t we just get together? I said Sure. I got nothing but time, right? And so he calls again about a week-and-a-half later, says, I’m gonna be in New York tomorrow. Wanna grab breakfast? Sure. So we meet for breakfast, and he knew nothing about me. When I got there, he was googling me, OK? Like, he knew nothing about my deeds. He’s like, Oh, you were in the military. That’s amazing. Like, it was a weird conversation. And, you know, towards the end of the conversation, he says, What are you gonna do next? And I said, I honestly don’t know. You know, I think maybe this, maybe that. And he says, You know who you should call? I said, No idea. Who, Jim? And he says, I don’t get along with her, he said. I used to be a Rockefeller fellow. I do not get along with her. We do not see eye to eye, but you should call this woman named Kathy Wylde. And I said, I met Kathy, ten years ago once. I don’t know if I would call her, and I don’t…That’s a weird conversation, just to call a stranger and ask for help with a job, right? And he says, No, you should figure out how to call her. We’re gonna figure out how to get you in touch with her again. I gotta think about it. I said, OK. We left. I never thought anything of it. He calls me four days later, and he says, I was giving it some thought. I was googling and I saw she’s leaving [as President and CEO of the Partnership for New York City]. You should apply for the job. And I said, I don’t know anybody. It’s a weird dynamic. And he said, We gotta figure it out. You know? Good guy. A couple weeks later, I was going to a conference in Montana, and three years earlier, I had met Rob Speyer at the conference. Spoke to Rob probably twice in my life since then, OK? But, we had a night we sat next to each other at a dinner, had a nice conversation. So I texted him. I said, Are you going to this conference by chance, in a couple weeks? He said, I am going, right? I said, Oh, can I grab you when you’re there for a couple minutes? He said, Sure. I go with my wife. He comes over, says hello. He knew my wife from a couple years ago, pleasantries. I said, Hey, Rob. you know, I texted you, if I could speak to you. He said, Yeah, yeah. What’s up? And I was, like, nervous at this point. I’m, like, sweating. Like, I’m gonna give a pitch. I said, I see you’re very involved with the Partnership. I think I’d be killer at that job. And he says, Why? And I gave him a pitch, which I’ll tell you in a second. And he said, Honestly, he said, Steve, there’s 12 people in the search committee. He says, I couldn’t even help you if I wanted to, nor would I. But what I can do when people ask me is just get in touch with Heidrick & Struggles and, go through the process. I said, That’s all I could ask. It’s fine. So I send him a text two days later with my resume, and I said I was serious about this. Can you connect me to the person? He says, Sure. Heidrick & Struggles would tell you that they did the interview as a courtesy. And that they thought that it was going nowhere, largely because when the search committee, which is a who’s who of business, outlined who they wanted, they said they wanted somebody from New York City, and they wanted somebody who was not in elected office. So here I am. I would go through these interviews, and I would outline what I thought the Partnership was doing wrong, and how politics has changed, and where I thought the potential was. Largely that the model of shuttle diplomacy, of relationships in the way that it worked 20, 30 years ago, doesn’t work anymore. And today you see, both with Mamdani and Trump— The assets that they [Partnership member companies] have are that they have 800,000 employees. They have the ability to communicate at scale, and they have a general centrist message, and none of those things are leveraged in any meaningful way, is what I would outline. And I really believe, and I continue to believe, that if the Partnership is perceived as a voice of very wealthy people and the CEOs, it will no longer exist in five or ten years. And the reason I say that is because one of the assets that people value is this convening component. And it’s a convening component because you have everybody from, you know, the CEO of JP Morgan and Goldman Sachs towards mid-level to low-level CEOs, and they want to be in the room with the next person in that food chain, so to speak. And when people view it as not good use of their time, because it’s not effective, you start seeing deterioration and you no longer get that involvement. And I would explain this to them, and I would say, This is how we’re going to organize employees, and I think is the most effective way to do it. It’s something that I did as a [mayor] or a candidate when I was running these campaigns, so it’s something I know. And they would ask a lot of questions, and we would go through this model in detail, and they would ask, and they would just move me along in the campaign in, in this situation. And then at the end, probably ten interviews in, the woman from, you know, Heidrick says, You know, I think, you know, as crazy it is, you might land this plane. And I said I knew I was going to land the plane. But— **Josh Greenman**Can I ask? So you mentioned— **Steven Fulop**Sorry to take so much time on that, but— **Josh Greenman**Three hundred thousand, or I forget the number. **Steven Fulop**Eight hundred thousand. **Josh Greenman**Eight hundred thousand employees. And correct me if any of the assumptions embedded in the question are wrong. But you’re a membership organization, you’re supposed to be speaking for the large employers. **Steven Fulop**Yes. Large employees. Employers and employees. **Josh Greenman**Employers and employees. But you don’t canvas them every time an issue comes up. You described it as centrist. OK. An issue comes up. First of all, how do you, as the head of the Partnership, decide whether to get engaged and involved in that particular issue? And second of all, how do you decide what the posture of the Partnership is, if it’s not predefined? How much of it is your instinct? How much of it is, Let me take the temperature of the employees and the employers first? **Steven Fulop**The honest answer is I think it’s a hybrid. At the last board meeting, I spoke about being more narrow in the things that we’re going to be involved in. I think it’s very important we’re very deliberate and specific on issues that we care about and being less involved in kind of broad things that don’t necessarily touch 250 of the different companies. **Josh Greenman**Even though you made a statement about antisemitism. **Steven Fulop**I made a statement on antisemitism because it touches a lot of our companies, if not all of them, because they have Jewish employees, and they’re all very invested here. **Ben Smith**What’s something that you think the Partnership should get out of? **Steven Fulop**We had a lot of time last year in the fashion industry. I think the fashion industry is important. I don’t know who reads that report ultimately or how you move the needle ultimately on the fashion industry. We did some work very publicly on short-term rentals. Not really sure that that’s the best place to be spending a lot of time, because I don’t think it pertains to every single person here. I think that there are things that do pertain, quality-of-life issues that touch everybody. How do those things come to light? So I spoke broadly at the executive board meeting about things that I thought were important. They had lots of questions, Why this, that, and I outlined things both in a framework of government and politics: This is what I think. This is where the opportunity is. This is where the vulnerability is, et cetera, and we went through some of that stuff. When we’re working, for example, now, I gotta review it. We’ve been going back and forth on a blueprint of things to change for New York City that I think, or our team thinks, are meaningful, practical, and tangible things that you could change that would impact the budget in a meaningful way. And a normal person would say, You’re probably right about that. And the politics could be tough for those. So put a litany of, let’s say, 330 of them together. A lot of it’s our team’s ideas. Some of them are a little bit maybe venturing into a place that the Partnership historically has felt maybe uncomfortable. Those are broader conversations because I don’t yet have 20 years of trust with those people. So I say, Here’s what I’m looking to do. Here’s the reasons why. And we have those conversations with the executive board. **Liena Žagare**Does universal childcare fit into that? **Steven Fulop**Universal childcare is a part of it ‘cause— universal childcare is a part of it. It’s definitely in there. And I’ll tell you this. We polled our employee base because we were curious. It’s something again that touches, I believe, the affordability crisis. I think Mamdani and Hochul are right on this. It touches everybody who lives here in some way or another. Roughly two-thirds of our employers provide some sort of childcare today. Some is on-site, some is off-site, some is subsidies for low-income, some is subsidies for everybody, some is using a tax credit. And I’ve said this to the mayor before, that our knowledge of this space is vast because we have experience, practical experience on this sort of thing that others don’t have. They may have abstract experience or be ideological in a certain way. We experience it. We can tell you what works and what doesn’t work in the Building Department, what the challenges are in the bureaucracy, what the issues are in accomplishing this in a different way, because a lot of us have tried to provide that, right? So how do we communicate that publicly in a way that makes sense from our objective, which is improving New York, and at the same time in a way that’s value-added to the mayor or the administration, is kind of where we are. But it’s a hundred-percent part of that blueprint. There is a section on this. **Akash Mehta**It’s interesting to hear you emphasize that you represent the employees, not just the employers. Are there formal structures that put that into practice? Are there elected board positions from the employee base, or anything like that? **Steven Fulop**What we’re starting to do now— So it’s a shift, OK? And what we’re doing now, the short answer is no. What we’re doing now is starting a lot of these town hall-type conversations with the CEOs and me. It is an April, May, June, two, three-year initiative, where we’re talking about civic involvement, the importance of New York, and people can opt to sign up for information from us. So we’re communicating in that way. People will opt in, and then we’ll have the ability to better communicate with the employee base with regards to what we’re doing. You know, there’s no secrets to what I’m saying. I mean— **Ben Smith**But you think the opportunity is to mobilize employees? **Steven Fulop**The opportunity is to better communicate because I think there’s a disconnect between a lot of the things that happen, and how and when we communicate to employees things that may impact them. Because you have all sorts of legalities, and general counsels, obviously, that put obstacles in place on this stuff. And we need to figure out a way, because people are invested here in a meaningful way, so they should have knowledge of this. I don’t believe– Of course, our employee base is different than working for the Hotel Trade Council or Carpenters [union] or whatever, right? They’re monolithic, told to do something, they’re gonna do it. Employee bases aren’t that. I think that’s an asset. Having a generally college-educated employee base, if you lay out an issue in a reasonable way, they could make an informed decision whether that works for them or doesn’t work for them. The— **Akash Mehta**Wait, the carpenters can’t make an informed decision? **Steven Fulop**I didn’t say they can’t make an informed decision. I’m gonna say they’re more monolithic in what they do, and it’s driven by the decision of a leader, specifically in the Carpenters. The Carpenters would say from their executive board, maybe in Washington, maybe in New York, maybe in New Jersey, say, Directionally, we are supporting Ben. And then we support Ben. We don’t have that luxury. That’s not the way we’re structured. **Akash Mehta**What does that have to do with them being college-educated? **Steven Fulop**Well, it doesn’t have to. I mean, I think that you don’t have to necessarily be college-educated, it’s a fair question, to weigh something. But I think generally somebody that’s gone through some sort of rigorous education and training on pragmatic thinking has a better chance because they’ve been educated to think that way. I don’t think it’s a referendum on, you only could understand an issue if you’re college-educated. **Alyssa Katz**But I want to dig in a little more to that when you’re talking about pragmatic thinking, because it’s not an elephant exactly, but the sort-of power in the room is the mayor, who’s elected with actually a lot of college-educated support. And also based on a sort of different way of looking at pretty much everything in some ways, right? Like around– OK, we’re gonna start with principles, we’ll figure out the practicalities later. And also around mobilizing large numbers of people who have interests potentially at odds with capitalism, right? Tenants, people who generally think that money and politics and billionaires are the core problem, or a core problem to address, and on and on. So I’m interested in your efforts to mobilize people in that light. I mean, are you looking to build a counterforce? How does that factor in? **Steven Fulop**I don’t use a “counter force.” I don’t think people are generally sympathetic or upset with capitalism or sympathetic to socialism. I view it more as a couple of things were true in the November election. A, you had an alternative to Mamdani that was tremendously flawed. So they had a ceiling. It was an exact situation that happened in Jersey City, where you had a former governor who resigned in disgrace running for mayor, my old seat, same exact outcome. So it wasn’t, it wasn’t a reflection of, everybody’s sympathetic to socialism. I think elections are choices ultimately, and these are the four choices that you ultimately had. Do I think that people are frustrated and more fiscally liberal than they’ve ever been before? Yeah, absolutely. I think that when people say that I, people say, a twenty-year model ago would say, I am, you know, fiscally conservative and socially liberal, that model has flipped really. People are fiscally liberal because what’s going on today isn’t working for them. They’re not necessarily sympathetic to socialism, but they’re open to trying things because there’s an acknowledgement that what’s happening isn’t working. And we see that too. We’re not blind to that. So do I think that you can organize a counterweight, was the question? Is that what it is? I don’t know if I would frame it as a counterweight. I think that you need to organize something that has a voice that is relevant in the political atmosphere, definitely. **Josh Greenman**Can you just explain both the number and percentage of people the Partnership represents of employees, versus the employment base of the city as a whole? **Steven Fulop**Yeah, I don’t know the— **Josh Greenman**What’s happened to that over time? I’m curious, like, is it— **Steven Fulop**I can get that to you. I don’t know. I don’t know that— **Josh Greenman**And then the other is inside the Partnership. What are the constituent companies and groups, and…Are there a couple of companies that have a highly disproportionate share of Partnership members? **Steven Fulop**No. **Josh Greenman**So how broad-based is it? Can you just describe it? **Steven Fulop**I mean, there’s 350 companies. They range in size from– I mean, they would be significant companies, maybe 50 employees, OK, to several thousand employees. But on the executive board, you can see from the site and the broader board, they vary in size and background. Most of the companies you would have some familiarity with. But, they vary in size. **Josh Greenman**How is it determined whether you’re part of the Partnership as a company in New York City? **Steven Fulop**As part of the Partnership, is generally we go through a process of meetings. I meet with them initially, provide them some information. They express that they’re interested, I express that we’re interested. I take it to the board to make sure that we’re moving in that direction, and then the board validates that. This year we’ve had, I mean, a bunch more have joined, and we’ve restructured some things so some have left intentionally. It’s not intentionally, but I guess– **Nicole Gelinas**You’re running pretty hard against the two income-tax hike proposals that the mayor ran for office and won on. Do you see the employee base as part of the battle against those tax increases? Would Partnership company employees go up to Albany to make their point known against that? **Steven Fulop**Yeah. But I don’t think you’re gonna have that same sort of advocacy group that the DSA does. It’s a totally different type of person that would engage, number one. Do I think that a lot of the employees would be opposed to an increased tax structure in New York? I think without clear parameters on what that tax structure looks like, I think the answer is yes. And it’s not only the income taxes that we’re concerned about. So we’ll go into that, too. The reality on this is, if you look at it from a reasonable point of view, if you added the income tax, the payroll, the PTET tax, which is one that we care a lot about and we’re concerned about, the corporate tax, the estate tax, and the property taxes: You put all of those together, right? And you said, OK, we’re gonna do them all. And without some structural changes to the budget, you will be at the trough again in three years. And I think a reasonable person who’s even supportive of, maybe, the highest earners paying more would say, Does it make sense to do this every two or three years, and at what point is there a tripwire? So I think, yeah, the people would be sympathetic. It depends how and what information you provide and how those taxes are. But we don’t have that structure in place yet. I just got started. So we’re just building that stuff out, which I’ve told you, but it’s new days on this. **Nicole Gelinas**So there’s, there’s a reasonable person, and then there’s Albany. Now that the budget is— **Steven Fulop**No, I gotta be careful ‘cause I gotta work with people. So I can’t say they’re unreasonable. **Nicole Gelinas**Now that the budget is just a week-and-a-half away, what do you see as your prospects for stopping those tax hikes? And if you don’t stop them, does that hurt your power early on? **Steven Fulop**No. I don’t think any reasonable person would say that there’s a structure in place today, after two months of me being there, that is gonna push back against everything in Albany from a political standpoint. I don’t think that’s a fair thing to say. I don’t think the Partnership leadership think of it that way, and I think that most people wouldn’t think of it that way. I think the governor has been very strong [against tax increases], so that’s good. That pass-through tax that was put in place when the SALT reduction was eliminated, and now there’s a proposal to eliminate that, that would be an income tax increase on not only the wealthiest people, it would be an income tax increase on business owners throughout the city. And that is one that we’re keeping track of right now that I think doesn’t get the scrutiny that it deserves. Everybody focuses on the income tax and the corporate tax, which the governor is fairly clear, at least now, that she’s not supportive of, but we’ll see. **Josh Greenman**On the corporate tax, Mamdani has repeatedly said it shouldn’t harm the climate here in New York City because it applies to anyone who does business in the state, not if you’re headquartered here, so it shouldn’t lead to corporate flight of any kind. Is that how you see it? **Steven Fulop**No. So first of all, it’s challenging when it’s depicted as corporate flight, because then it becomes a conversation around, Well, you didn’t leave. You didn’t leave. So I know what I did is OK because you didn’t leave. The reality of how this works is that it’s attrition over time, and decisions on where to scale outside of New York. That’s generally how this works. And because the immediacy isn’t there, people don’t view it as, Well, I made this decision, and tomorrow you left. And that’s a challenge for us, because the argument we lose, even though what we’re saying happens to be true, that people constantly are making decisions to scale [businesses] elsewhere. You see it. You see it. So I think that his argument is flawed, although it’s a political argument ultimately is what he’s making, and I understand that. But if you do change the tax rate as he proposes, you will be one hundred percent higher than New Jersey, right, which is at 11 percent, and you would be at 22 percent, according to the CBC, when you layer in all these other things. So at that point, you start saying, Well, I have the same talent pool that I’m pulling from here in the New York system. I’m no longer making the decision to go to Texas or Florida or Tennessee, where it’s a geographic total distance, but at a hundred percent premium to be in New York City, is that worth it, and should I be elsewhere? Your competition is elsewhere at that point in proximity. That’s the dangerous thing to what he’s saying. **Ben Smith**Do you think even more broadly, there is just this sense among— ’cause I think you’re right. You talk to business leaders, and most of the really big businesses in New York don’t care about New York anymore. They’re not New York businesses. They’re global businesses that happen to be here, and New York taxes are a diminishing share of the thing they worry about. Because they’re so global now, they don’t have the kind of commitment they did when David Rockefeller was running the Partnership. And I think a lot of them and a lot of people just think, long-term, New York is cooked. There’s a flight not to Jersey, but to the Sun Belt — to Houston, to Dallas, to Atlanta, to Miami — that’s kind of unstoppable at this point. And you see just the growth of those cities demographically. You see it in terms of their businesses. You know, maybe that’s not this year or next, but I think if you just literally look at the lines on paper of New York, Philadelphia, Boston…these northeastern cities, versus the Sun Belt. Just feels like an irreversible trend: these places are in decline, these places are rising. This is probably beyond our professional careers even, we’ll be fine. But do you think long-term that it’s true, that New York is just sort of irreversibly declining? **Steven Fulop**I think it’s fragile. There’s a lot of indicators and pressure to push people away, and there isn’t an easy solution to it. First, let’s just talk about last week. Regardless of what you say about the corporate tax conversation, we could disagree or agree, regardless. You know, your job isn’t to agree or disagree. But using the estate tax that was proposed last week, OK, or two weeks ago, nobody above the age of 60 would live in New York City if that happened to be approved. Period. End of story. You would see flight, because no sane person would do that? Because the tax rates, that you’re not talking about the one percent, you’re talking about somebody who has a $750,000 home or apartment, OK? You know who that is. So you have pressure because of the dialogue that’s happening there for sure. You definitely have gradual attrition and people moving jobs elsewhere because they’re more portable. There’s no question about that. You have pressure at the bottom because it is very hard for entry-level people to find jobs, and at the same time to find housing. It’s a true thing here in New York, the pressure. So you have a lot of difficult situations going on and absence of a tough political solution, meaning willing to make decisions that are not popular, you won’t be able to change the trajectory. And that is only one that the mayor can actually drive, OK? So the property tax reform stuff that de Blasio and Adams both tried to do, it’s necessary. It’s really necessary, but it’s gotta be driven by the mayor leaning into it, making that a number one priority. Use things like FHEPS, OK? You guys have all written about that. **Ben Smith**I don’t know what that is, sorry. **Steven Fulop**It’s the rental assistance program, OK? It’s growing at four percent per month. It’s a billion-dollar-plus program. Four percent per month! It’s not sustainable. And if the mayor was sitting here, he would say, Well, I didn’t approve the expansion of the program. That’s what he would say. Because I had a conversation with one of his people last night on this, and I said, Yeah, but the expansion would have made it worse. The existing program is four percent per month, right? We need to solve for that. How do you solve for that? That program is a byproduct of the de Blasio administration when Cuomo got rid of the rental assistance program at the state, and so the city inherited that. There isn’t another city in the country that has a similar entitlement program. It’s not sustainable. That program belongs at the state or at the federal government, but it is a politically tough thing to do. So you gotta be able to make decisions like the property tax reform, that. Those are not easy things to do. But outside of that, your trajectory for the city is very, very dangerous. It’s a fact, you know? [Note: After this interview occurred but before it was published, the Mamdani administration continued the appeal of a court ruling requiring the city to expand the FHEPS program as dictated in a law passed by the City Council, while the two sides of City Hall negotiate a potential settlement.] **Akash Mehta**Do you broadly agree with Mamdani’s analysis that Cuomo shafted New York City — that Albany shafted New York City under Cuomo? **Steven Fulop**Honestly, it predates me, so it’s hard for me to kind of give you a fair assessment on that. I would tell you that I was mayor for 12 years in Jersey City, economic backbone for New Jersey. We drive jobs, we drive the statewide economy, we drive every number. It’s disproportionately housing growth. Everything is Jersey City. And I used to say, We don’t get what we put in. We don’t get that back. It’s true, OK. I know New Jersey and New York both say to the federal government, you know, they both pay much more to the federal government than what they get back. I mean, this is a narrative that people say. It’s probably true. Does it get corrected? I don’t know. You know, it’s on the governor’s situation. I have no idea, is the short answer, ‘cause I’m not in the weeds on that. **Akash Mehta**One quick question on the tax battle. The Partnership has a [501] C4 that was seeded with $10 million. What are your plans for the group? Are you planning to spend that money on this battle? **Steven Fulop**Um…unclear. And, conversations this week on that. You know— **Josh Greenman**Do you run the C4? **Steven Fulop**We hired an executive director this week. There is a willingness, we had a call this week and there is a willingness to spend real money to make sure that New York City stays competitive. So this was literally this week. There was a call. I would tell you that there is a serious appetite there. It’s literally a ripe conversation that’s happening in the last 24 hours. Good question, though. **Nicole Gelinas**Large donors proved last year that they’re very good at spending a lot of money — but it didn’t work. In fact, it may have worked against them. Are you confident that beyond the money, you understand local and state politics well enough that some of these people are actually listening? I mean, is [State Assembly Speaker] Carl Heastie, is [State Senate Majority Leader] Andrea Stewart-Cousins listening to these arguments and saying, We didn’t realize that the potential for attrition in the corporate side was this great. Because the money hasn’t worked before. **Steven Fulop**The short answer is, I’ve been there two months. I doubt at this stage, we don’t have that relationship. I mean, I’ve met everybody. I doubt that I have the standing or credibility with them to make, or the structure in place to make that argument today more compelling than it was made six months ago. It’s just the reality of the situation. I think that you have two types of people that exist in any political sphere. You have ideologues and opportunistic people, OK, that just think about their next election. Those are the two types only. And absent somebody that has an alternative, the opportunistic person will only always be sympathetic to the ideologue, because they view that as their best route to get reelected because that’s where the gravity of energy is. **Josh Greenman**What were you? **Steven Fulop**It’s a good question. I was a hybrid. **Josh Greenman**Oh, the only one. **Steven Fulop**[Laughing] That’s right. I was unique. I think that when you look at Albany, you have a growing DSA base for sure. The question that I would have as I get into it is how much of those— the rest of the people that aren’t pure ideologues are there because there’s not an alternative that they see, can be supportive, and helpful to a pragmatic view. So I don’t know what they’ll listen to — Carl and Andrea — in the next week-and-a-half. I mean, who knows? **Josh Greenman**Should we charge more for street parking? **Steven Fulop**It’s a good question. I happen to be a supporter of some of those proposals on street safety and better streets. I don’t think it’s a broader position that the Partnership has taken, and I don’t think it’s something, going back to what I said earlier, narrowing view and going back to your question earlier on how we approve things. I’ll tell you that, as I wrote out this idea of a blueprint of things that, pragmatically, that are politically difficult to change that I believe are the right things to do, I included it in there. And going back to what you said and questioned earlier in how we get these things approved, because the nature of what we wrote, you know, once we get it to a place, I will circulate that a little bit more to the executive board and get some more feedback on whether we wanna go down this road at this point or not, or not at this time. So there’s a process on this stuff. **Ben Max**What are a few other examples? So property tax reform, some streetscape stuff, universal childcare, what else? **Steven Fulop**If you can wait till next week, it’ll be better. OK. Like– **Josh Greenman**Are you fast enough for the political world? What I’m saying is, if you’ve got to go through that process, and these conversations are happening, the budget’s gonna be cooked in ten days, are you gonna be behind the curve? **Steven Fulop**I am obsessed with the political world. I mean, I, I lived in this— Ben MaxHe means the Partnership. **Josh Greenman**The Partnership. Is the Partnership behind the curve if it’s got to deliberate on all this? **Steven Fulop**Look, I think the answer is yes. The short answer is, I don’t know, right? Like, I don’t know. I’ve not been in long enough to have a gauge on all of this. But my gut tells me yes, because the leadership there is hyper-engaged in New York City and the Partnership, it’s not something where they just kind of parachute in once every three months and think about, kind of the Partnership and what’s happening in Albany and happening in New York City. They happen to be very engaged here on a regular basis. So I think the short answer is yes. They will be able to turn stuff around relatively quickly, and I feel pretty good about that. It’s not where I think about obstacles. **Ben Max**So big picture, I’m still trying to figure out right now: What does the Partnership care about, big picture. I know you’re working on a blueprint. I know you’re rethinking some of this, but is it first and foremost, the business climate and economic growth? **Steven Fulop**Right now, I wouldn’t say this is in perpetuity. I mean, obviously, in this moment in time, it’s competitiveness and the business climate. But when the C4 was launched initially last year, they spent money on one initiative, OK? Spent a couple million dollars on the discovery bill. It had nothing to do with finances, taxes. It had to do with public safety and what they viewed as in the best interest of quality of life. So their interests aren’t necessarily only about taxes. We happen just to be in this fire drill at this moment that I got thrown into, where there’s a new tax proposal every other day. So trying to deal with that is where we are right now. I think broadly speaking, the place of the Partnership is really wanting to have a relationship where we’re kind of helping bridge the gap between the public and private sector, and helping find solutions. We have a venture fund, a $200 million venture fund, which I don’t think gets the recognition it deserves. It’s been involved in creating 37,000 jobs, seeding very early-stage New York companies that do a lot of good here. We have a tech lab that partners with DOT, with the Port Authority, with New Jersey Transit, experimenting on technologies to make government more efficient. It is a collaboration that has happened for 15 or 20 years. A lot of companies are a part of that, new companies helping on that on-ramp. It is a unique and special thing. We actually, I think, at the end of this month, have kind of that shark tank at our office where everybody comes in and pitches, and the board of that is like a who’s who. So, I mean, there’s a lot of things beyond what you guys see on the C4 and the advocacy and the lobbying sort-of side. **Nicole Gelinas**So on the Transit Tech Lab, some of the ideas that have come out of there have been very good ideas. But more broadly, for the MTA or the state and local government to actually save enough money so that we don’t have what you described with them coming back for new revenue every couple years, you have to confront the unions on some big issues, whether it’s work rules on the construction side, whether it’s two people on every single subway train, whether it’s Department of Education rules that mean they can’t be as flexible as charter schools. Do you see the Partnership taking on the unions in any sense? **Steven Fulop**Going back to the pragmatic that you said, I would use the word pragmatic and then you asked me about kind of a little bit more about that. You brought up the conductors on the trains and the proposals on that. It is very expensive. There isn’t a city in the country that has that structure. If you outline that to an employee of XYZ Corporation, and you said to them, Here’s the landscape, OK, We need help with XYZ, I would venture to say that they would be sympathetic to our point of view. That’s what I was getting at, just to give that to you earlier. You know, the New York Post called me the day that Mamdani entered into the— he said at the end of a press conference, I wasn’t there, obviously, but he mentioned that he wasn’t gonna do the sweeps of the homeless encampment. And it was probably my second or third day on the job. And the Post called and said, Do you want to comment on this? And I said, Yeah. And I said something critical of him at the time. Prior to doing that, because it was like my second or third day, I did say to some of the people on the team, going back to how nimble the organization is, I said, Hey, I would like to comment on this, OK? Because I think it’s wrong, his approach, and I think he’s gonna have to move off of where he is, ultimately. And some people said, Well, is that really the hill you wanna climb? Is that really that important to us? And I said, It absolutely is. Because, A, he’s wrong on the issue, and B, it’s a quality-of-life issue. Going back to the fact that it ended up being right, he ended up moving on, and you could see it from, like, far away, just based on being a legislator versus an executive and accountability. But I think our job is to call balls and strikes and just be fair about it. So do I think– Let me say it this way better. If you are gonna grow housing, OK, ‘cause he says it’s a priority. During his election, when he was a candidate, he would tell you if he was sitting here, he would tell you, you look at his CBS, the debates, he would talk about Jersey City and Tokyo, Jersey City and Tokyo as housing growth models. He would tell you that if he was sitting here — he said it on TV multiple times. Now, he followed that about what we did in Jersey City ‘cause we grew a lot. How are we able to grow? OK, A, you had layers of government here that we do not have there, so you need to clean that up. We upzoned, of course, more aggressively than the City of Yes around transit centers, which you have to do here for sure. And then the third part about it is that if you mandate affordable housing, community givebacks, the union labor, et cetera, et cetera, the projects financially cannot handle that. They don’t pencil out. So what we would generally do is that, on the union labor front, because the people that get squeezed the most were the ones that pressure the building trades better, because their jobs are usually the ones that get–are most competitive, are the less skilled parts of the building trades. So when you build a high-rise building, the electricians, the plumbers, the operating engineers, the ironworkers are generally gonna be union, because it’s a more complicated thing. Carpenters, laborers, painters generally are the ones that have competition from non-union, and that’s really where it is ultimately. And we would say in Jersey City, on the projects that are important to us, if they were coming to the city for some sort of subsidies or big zoning changes, and it was an important project, we would work with the developer to give the unions a last look to be competitive with the open-shop bid, and some sort of grace between five and ten percent to be competitive. Now, absent that, there is no way to get it built in union labor. So if the mayor continues to be strident that everything is gonna be a hundred percent building trades, you’re never gonna meet the objective of whatever he has a hundred, two hundred thousand units. So I think that our voice is gonna be that you need some practical reforms to these incentives, and practical reforms means that you cannot pay a 30 percent premium for the carpenters. **Nicole Gelinas**So something very simple on that, though. Two people on a train. Would you see yourself making a statement similar to the encampments that, you know, Hey, intuitively, it doesn’t make a lot of sense to leave people in encampments. Intuitively, it doesn’t make a lot of sense to mandate two people on a train. Would you just call up the Post and say that, or that’s a different— **Steven Fulop**I don’t think that— I think if you called me and you said to me, What do you think? I’d probably just answer you, that I think it’s not something that any other city does, and in a financial crisis, you probably gotta be reasonable about that. **Ben Max**This is what you got hired in part for, right? To be out there more and to be a voice pushing back. **Steven Fulop**I think that it’s just my personality. I don’t know if it’s necessarily, it’s just like this is— You’d ask me, and I would say it. I wouldn’t go call up the Post and say, Let me-- Carl [Campanile], let me comment on this, right? I wouldn’t do that. Like, that’s not how I would think about it, right? I’d be going with my day, and then Carl would say, Do you care to comment on this? Or he would call, and I would just be like, Yeah, I think so and so. And he would say, Is that on the record? And generally, I’m not gonna say, This is off the record, on anything. I generally just talk. OK? So— **Josh Greenman**You talked about incentives, government incentives. I want to talk about literal government incentives, like, Amazon, right? Remember how many years ago, half of Amazon’s HQ2 was gonna be here. **Steven Fulop**Yeah, I remember. We tried to pitch it too. **Josh Greenman**It didn’t happen. You tried to pitch it, too. What do you think of the state’s current corporate incentives? Do they make sense as currently structured? To try to attract businesses to New York State, to try and attract businesses to New York City, there are various programs. There’s been a lot of talk about restructuring those programs to make them more rational, and there’s a larger question of, should we have this environment in which cities chase corporations by throwing money at them or tax abatements at them, or should there be some kind of compact where cities agree that they don’t do this to each other? **Steven Fulop**Yeah. I generally think — putting on my mayor’s hat — that the structure exists today is a race to zero, and it’s not healthy from the public side. But you cannot unilaterally disarm, is the unfortunate part of the conversation. And so absent governors getting together and having some sort of détente where they’re no longer doing that, I do not see how a state doesn’t participate in this. That said, I think that the competitiveness conversation in New York and New York City is more complicated than just incentives. I think that, you think about other places in the country, where people have mobility to get to, and there’s opportunity, there’s more of a deliberate effort to attract beyond just the incentives. Texas reordered their entire court system to replicate Delaware, to make it more friendly for corporations. They’re having a Texas stock exchange to have better access to capital markets. It’s more of a deliberate strategy than just saying, Hey, we’re gonna give incentives. Now, it is not helpful– you know, people, absent certainty on communication, they try to interpret a lot of what somebody means or what they say. So, governor or mayor says X, Y, Z in a statement, they try to interpret, what does that ultimately mean? How should I envision that to manifest itself for what I’m trying to do? And the thing that we are trying to calibrate for, and I say this publicly and privately, is that a lot of the rhetoric out of City Hall, which is consistent tax, tax, tax on any front that’s possible, whether you make $500,000, whether you have a house that’s $750,000, whether it’s a pass-through and you have a small business, it creates a very volatile environment. And that’s the problem ultimately. So I think you need certainty on that. **Josh Greenman**I have one other topic that we haven’t talked about that I just wanna make sure we discuss, which is AI. You represent a lot of employees. And AI is going to be increasingly a large employer, in theory in the city, but it’s also coming for some of those employees’ jobs, maybe many of those employees’ jobs. **Ben Smith**And the employers are very excited about it. **Josh Greenman**And some of the employers, the CEOs, are excited about being able to save dollars and innovate in various ways. **Steven Fulop**Well, they don’t communicate that with me, but just go ahead. **Josh Greenman**So how do you, how do you balance those tensions, which are very, very real, among employees who might be excited and employers who might be excited about AI, and those who might say, Holy shit, my job is gonna be gone in 10 years, or five? **Steven Fulop**I think that that is— I said this, maybe I touched on it a little bit earlier, I think that young people not being able to find jobs and the housing crisis was pressure from the bottom that is one of the most at-risk situations for New York. AI is part of that conversation, potentially — so you have macro environment, why people aren’t hiring, and then AI might be part of that too. You know, though they don’t clarify that with me. They don’t say, Here’s the reason I’m doing this or doing that. I do think that one of the biggest risks over the next 12 or 18 months is the AI impact on jobs. I agree. And I don’t think anybody has a good solution, both in the Partnership or in City Hall, yet on that. And in order to kind of figure out how to do that and solve for that, I think that you need to have some sort of broader conversation on implications. I will tell you that one of the things that we outlined in kind of what we were talking about on this blueprint was that, I do think that part of the procurement process for city government services needs to factor in who is training and who is factoring in the AI conversation, and those scores should be appropriately weighted, beneficial for companies that are thinking about training or have a training program as part of it. So we’re trying to think of ways to kinda think about training people and getting people into another space and using the leverage of City Hall to do that. I don’t think there’s a broad enough plan yet to solve for it. It is the biggest risk for New York, because New York City relies on white-collar jobs disproportionately for its budget. And where AI is coming is directly at the white-collar jobs as opposed to the blue-collar jobs. And so New York City is poised to get hit in a different sort-of way than anybody else. Short answer is, I don’t think anybody has a clear-eyed solution on that. Some of that’s gotta be set by the mayor, you know, that’s the truth too. I said earlier in the conversation, we had a roundtable on childcare in December with the mayor. And the mayor, at the end of it, I said to his staff, I said, You know, we outlined some of the inefficiencies and bureaucracies to getting these childcare centers open, which we’re familiar with. I told you earlier. We can help you with that from a technology standpoint, okay? And this goes back to making tough decisions. You’ve seen employee headcount since COVID skyrocket at City Hall. Whole, another conversation. I mean, that’s a fair thing to say. We said we’d help you with some efficiencies on that from a technology standpoint. And they were nice in their response but there was really no follow-up on that. And, and my point on that is we can only do so much from the Partnership. You need a dance partner in order to dance, right? Like, that’s really the reality of this. So, I do not know the solution, and I push back. People aren’t— They don’t, at least they don’t express to me they’re happy about, you know, not hiring jobs. You know, maybe to you, Ben. But, and AI displacement, I think people are very concerned about it in the Partnership too. **Harry Siegel**You said maybe without some changes, the Partnership won’t be there in five to ten years. We just did have a big turnout election, that led to an avowedly socialist mayor. Can you just step back and say— **Steven Fulop**No, I think the Partnership— I think I clarified that on the, that current trajectory of how it positions itself needed to change. So I think that’s part of the reason we’re here, to make sure it’s relevant for the next ten years, but— **Harry Siegel**But the business community seems increasingly less relevant to the political direction of the city. The Partnership seems less relevant. This is a bit of an inside conversation. For people who maybe vaguely know what it is or just spot its name in headlines or whatever, what is the point of the Partnership? And frankly, what is the good and utility that the business community brings to the city, if you just want to explain that? **Steven Fulop**What does the Partnership add to the city? **Harry Siegel**Sure. **Steven Fulop**Or the politics shifting left. **Harry Siegel**However you want to take it. **Steven Fulop**I think, forget about the Partnership as an organization for a second. I think the big corporations add a disproportionate amount of philanthropy, revenue, budget help, employee help to the ecosystem here in New York City. If those larger corporations migrate out, you would have a massive budget problem, you would have significant more unemployment, and the amount of philanthropy, which is tens of millions of dollars a year across, which sometimes is underreported or undershared, is a good thing ultimately, helps private institutions or public institutions, culture and arts institutions disproportionately, hospitals disproportionately. So I think that the business community here has a huge impact. The Partnership acts as a conduit from them to the public sector, and has multiple layers to it as I touched on earlier, where we help incubate early companies, facilitate connection to New York City, help advocate for policy change, et cetera, et cetera. **Harry Siegel**Outside of real estate, the business community, as you and Ben [Smith] were talking about, is less and less rooted here, and the problem is sort of a slow trickle to other regions, as opposed to people just pushing out and moving. Lots more people are voting. They seem less interested in the priorities of the business community. You’re talking about employees as a sort of base for the organization, 800,000 of them. I’m just trying to understand how business makes itself more relevant. **Steven Fulop**That’s a little bit of a process that I touched on earlier, a little bit of the transition that I touched on earlier on why we’re here. I think that people, as you saw in this last election, are struggling, an affordability crisis is real. There’s a lot of pressure, whether it’s jobs or housing. I think that’s all real. And I think that people have become, as I said earlier, fiscally more liberal because what’s working for them today and not working today has shifted from 10 years ago. So in order to be relevant, we need to be cognizant of that. **Alyssa Katz**People mentioned earlier that antisemitism is a priority for you, fighting it, and you know, I know you— **Steven Fulop**It’s a priority for us, yeah. **Alyssa Katz**Yeah, and we had a couple incidents that may have coincided with right when you arrived at the Partnership, right? The most visible one was, you know, this Israeli drone company. **Steven Fulop**Oh, the Israeli drone company, Easy Aerial? Yeah. OK. **Alyssa Katz**Yeah. What’s the other one? **Steven Fulop**It was the Park East Synagogue situation. **Alyssa Katz**Oh, right. Well, listen, but I’m talking purely on the business side. We can talk about it more broadly. But you know, there’s a company that was in a city-owned property. The city says it was a lease issue but it had been the target of a campaign saying, Well, you’re providing drones to the Israeli military, and we need you out of here. And then sure enough, that’s exactly what happened. And I’m just kind of curious about how you are approaching that kind of pressure on Israeli individuals and their businesses to get out of town, basically. How do you address that? **Steven Fulop**I think it’s a new conversation, obviously. We do think that antisemitism is rising, and it’s a significant concern. The BDS conversation and singling out one country to different standards than other countries that the U.S. or the public agrees with or disagrees with, or that has human rights violations or doesn’t have human rights violations, is a totally different conversation that we don’t agree with — singling out a single country. And the reality is that that BDS conversation, building on that, is not acceptable to us. And as you see elected officials more vocal in this space, unfortunately, if that ends up being, I think that is a place you’d definitely see us spend money. **Liena Žagare**Do you think Mayor Mamdani is doing a good job, and where would you— **Steven Fulop**Doing a good job? **Liena Žagare**Yeah. Doing a good job in the city and— **Steven Fulop**I think— Yeah, look, I think— **Liena Žagare**Where should he be more careful? **Steven Fulop**I think, I think there is— The short answer is, it’s been two-and-a-half months, so it’s hard to tell. I think that there’s a lot of mixed signals between things he says sometimes in smaller meetings versus what he says publicly. I think that, there’s been some missteps along the way, like for example the real estate tax proposal I thought was a misstep. I think that there’s been some really encouraging things. How he’s handled the president has been terrific. And I think that the city is in a better place than anybody would have thought post-election with regards to the president as a result of his communication there. I think that he has shown some willingness to move away from an extreme left position that he came in. That transition from a legislator to an executive is a transition, and from being a backbench Assemblyperson to a prominent front and center mayor, that transition is always complicated. Homeless encampments, the library funding, the FHEPS situation, he’s moderated some of those views, which are good. And at the same time, I think sometimes going back to how we interpret things that he puts out there, sometimes he’ll put something out that we’ll interpret in a way that I – ‘cause you have no choice but to interpret this stuff – you’re concerned about. You know, like, and I’ve said to them, Look, when American Express announced their headquarters, right? It’s a big deal. You know, a big American brand establishing a significant presence again here, recommitting. It’s good for his narrative ultimately, right? You know, that was in the works for some time. Or the Bank of America situation. If you look at the kind of statements that came out as a result of that, they never acknowledged the corporate side. They talked about the building trades. And that signals to us, A, questions about the housing conversation, right? And B, whether you understand the ecosystem that American Express employs thousands of people here, and they’re hugely involved philanthropically and committed to the city, and what that means. So I would say it’s mixed. **Nicole Gelinas**One thing that’s been missing from the ecosystem is a person like Dick Ravitch, who passed a...