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Sporticast: Stephen Curry Takes His Longest-Distance Shot Yet
On the 558th Sporticast episode, hosts Scott Soshnick and Eben Novy-Williams discuss some of the biggest sports business stories of the week, including a blockbuster sneaker deal. Golden State Warriors star Stephen Curry announced a 10-year agreement with Chinese brand Li-Ning earlier this week. Curry was a sneaker free agent for less than a year, …
Sporticast: Why is Serena Williams Coming Back to Pro Tennis?
On the 557th Sporticast episode, hosts Scott Soshnick and Eben Novy-Williams discuss some of the biggest sports business stories of the week, including Serena Williams’ return to professional tennis. The 23-time Grand Slam singles champion announced Monday that she would play in a doubles event next week with young Canadian Victoria Mboko, her first official …
Science Museum of Virginia's 'Survival of the Slowest' shows being slow can be survival advantage
Featuring live animals including a two-toed sloth, a lesser hedgehog tenrec and snakes, the exhibition encourages guests to take their time to discover how biology concepts apply in the real world and how animal survival is all about trade-offs.
The Science of Speed, opening Aug. 1, will be a wild ride for the whole family
The Science of Speed, focusing on all kinds of motorsports, is set to open Aug. 1.
The Business of Beauty and Front Row Convene Beauty Leaders in New York
Executives from Kenvue, Olfactory NYC, Soshe Beauty, Weleda, Jane Iredale, YSE Beauty, Odele and more gathered at Sadelle’s in New York City to discuss what it means to build a commerce strategy that connects the dots between discovery, conversion and growth.
OPINION: The danger of treating politics like a championship game
Novelist John Dos Passos, a great student of American life, wrote in 1939 that political “means are more important than ends, because means mold institutions which frame ways of behaving,
Sporticast: What’s Up With the French Open Fashion Friction?
On the 555th Sporticast episode, hosts Scott Soshnick and Eben Novy-Williams discuss some of the biggest sports business stories of the week, including some simmering tension between tennis’ biggest tournaments and fashion brands like Gucci and Louis Vuitton. Tennis players have long been attractive endorsers for luxury brands—the sport’s clientele, locations and vibes all align—and …
China’s machinery giant XCMG eyes bigger scoop of global sales
State-owned firm banks on intelligent manufacturing, green technology, product integration and digital services to boost sales overseas.
Bond breakout? Big effects of bad data. Immigration and thermostatic politics & dad-chat is coming for dad-books.
Thank you for opening your Chartbook email. Anna Airy, A Shell Forge at a National Projectile Factory, Hackney Marshes, London, 1918 Bond breakout - John Authers Across the developed markets, bond markets are staging a slow-motion car wreck. Looking at the drastic moves in the US, Japan, the UK and France, Barclays’ Ajay Rajadhyaksha commented: “Last week, long bonds broke. Not in one country. In all of them. Simultaneously. Four countries. Four different political systems. Four different central banks. But the same trade — “get me out of duration!”” Each country has its own contributing political problems, but the uniformity of the shift out of long-term bonds with high duration makes clear that something broader is afoot. For Rajadhyaksha, it is “simple and uncomfortable.” The developed world “has too much debt, too little fiscal discipline, and no political appetite for fixing either.” If there’s a trigger, it has been the Iran war and the resulting shock to oil supply. Source: Bloomberg G7 countries are now borrowing at rates that were enjoyed by EM in the early 2020s For contributing subscribers only. Subscribe Trade between China and Russia has grown in recent years For contributing subscribers only. Subscribe Big effects of bad data A decade ago nearly nine in ten Americans, when approached, agreed to fill out the Current Population Survey, which is administered to about 60,000 households each month and asks about, among other things, employment. Fewer than seven in ten do so now (see chart 1). For the Consumer Expenditure Survey, which tries to capture 3,700 households monthly, the response rate is down from 68% to 40%. … When the information becomes less reliable, investment decisions get more difficult to make. Some may be delayed, creating a potential drag on the economy. A new working paper by Nicholas Bloom of Stanford University, Erica Groshen, former head of the Bureau of Labour Statistics (BLS) now at Cornell University, and Duncan Hobbs and Michael Strain of the American Enterprise Institute, a think-tank, hazards an estimate. Preserving trust in “the integrity and quality of official statistics”, the authors claim, generates economic benefits of about $25 for every $1 spent on the BLS, the agency with an annual budget of $700m that is responsible for many of these data. To arrive at their conclusion the quartet analysed an ignoble episode in the BLS’s recent history. On August 1st 2025 Donald Trump sacked Erika McEntarfer, appointed as the agency’s commissioner by his predecessor, Joe Biden. The president alleged, without evidence, that the BLS’s steep downward revision to recent jobs numbers had been “RIGGED in order to make the Republicans, and ME, look bad”. In fact, it was the wanton dismissal that looked bad in the eyes of many observers. In the following seven days there was a 50% leap, relative to the week before, in the average value of the index of Economic Policy Uncertainty (EPU), which tracks the number of articles mentioning such uncertainty that are published daily in American newspapers. This was a discernible jump even when compared to the chaos caused by Mr Trump’s trade war in April 2025 and his real one in Iran in the past two months (see chart 2). Based on Mr Bloom’s earlier study with other colleagues of the EPU’s impact on business investment, industrial production and employment, the authors estimate that the jump reduced American GDP by over $100bn (0.3%) and non-farm payrolls by 168,000 (0.1%). Source: The Economist Immigration and thermostatic politics (Sarah O’Connor in the FT) A strange thing happened a year and a half ago. No sooner had Americans elected Donald Trump as president on an explicitly anti-immigration platform than US public opinion began to swing much more favourably towards immigration. … to political scientists who study “thermostatic” politics, this development is no surprise at all. Public opinion often moves against the prevailing party, especially if they are perceived to have gone “too far” in one direction. The phenomenon was first explored in the 1990s with reference to fiscal policy, but in recent years it has been particularly evident in the realm of immigration policy. While these swings in opinion polls can make it seem as if people don’t know their own minds, they can be a useful democratic check on governments by sending bright flashing warning lights when policies stray too far from the public’s comfort zone. The problem comes when politicians misinterpret those signals. When people tell pollsters they want less immigration, or think it is bad for the country overall (or the converse), they are often expressing an opinion about how things appear to be going in that moment relative to their preferences, rather than a deep shift in their underlying views. According to Alexander Kustov, a political scientist, most Americans’ views are quite stable and moderate: they support immigration that is controlled and in the national interest, and oppose flows that are disorderly or under-enforced. In the US, he argues the Trump administration over-interpreted dissatisfaction with high immigration under Joe Biden, and implemented policies that went too far for many voters. “People don’t necessarily change their idea about their ideal immigration policy, but they can react to what the government is currently doing,” he told me. “A lot of people are not happy with what the Trump administration are doing — right now we’re not talking about border enforcement, we’re talking about people not just getting harassed, but killed.” But similarly, he added, pro-immigration advocates would be making a mistake to interpret the recent, more favourable swing towards immigration as a deep-seated ideological shift in attitudes. The recent history of UK immigration policy offers another cautionary tale. After the 2016 Brexit referendum, public concern about immigration fell. This was partly because net migration statistics declined, but also because people felt a sense of catharsis and control, says Sunder Katwala, director of British Future, a think-tank. By 2019, the public ranked immigration as only the ninth biggest issue of concern, according to Ipsos polling. But when the Conservative government liberalised visa routes for students and care workers between 2019 and 2022, that helped net migration to surge. And so, too, did public concern. Today’s Labour government has implemented another sharply restrictive turn in immigration policy. As Kustov and researcher Caitlyn Yates argue, thermostatic public opinion should be a useful check on politicians. Instead it seems to have helped to magnify the pendulum swing in the UK. The government over-interprets and overreacts to a change in public opinion, which reacts in turn, prompting a sudden swing the other way. Source: Financial Times HEY READERS, THANK YOU for opening the Chartbook email. I hope it brightens your day. I enjoy putting out the newsletter, but tbh, what keeps this flow going is the generosity of those readers who clicked the subscription button. If you are persuaded to click, please consider the annual subscription of $50. It is both better value for you and a much better deal for me, as it involves only one credit card charge. Why feed the payments companies if we don’t have to. Subscribe Anna Airy, Shop for Machining 15-Inch Shells: Singer Manufacturing Company, Clydebank, Glasgow, 1918 Racing for a vaccine … we have been here before! The deadly Ebola outbreak in two African countries driven by a virus species with no vaccine has triggered an urgent search for a potential jab, in a test of troubled global efforts to avert threats posed by emerging diseases. A World Health Organization advisory group is due to would meet on Tuesday to recommend candidate jabs to prioritise for clinical trials, the global health body said. It will assess data including an analysis by the Coalition for Epidemic Preparedness Innovations (Cepi), which was set up after failures in the international response to a previous Ebola crisis. The latest Ebola outbreak in Democratic Republic of Congo and Uganda has infected hundreds of people and killed more than 80, health authorities say. Cepi’s reaction will be a crucial indicator of its progress towards its wider goal of producing vaccines for pandemic threats in just 100 days, despite steep cuts to international health funding. “If there was ever a time that we could show the world why Cepi is needed and show the world why the 100-day mission is needed, it’s now,” Nicole Lurie, the organisation’s executive director for preparedness and response, told the FT. “We’re happy to accept that responsibility, but obviously we need help from partners — particularly financial help in the long run.” DR Congo and Uganda would make the final decision on whether to press ahead with any vaccine candidates endorsed for clinical trials by the WHO experts, the global health body said. “Other ethical and community acceptability issues will be considered,” said the WHO, which declared the latest outbreak a public health emergency of international concern on Sunday. “This will be important to make sure that the trial, if it happens, will be adequately communicated to the population.” Lurie said Cepi had provided information from a survey of research teams and companies working on drugs that might be effective against the Bundibugyo virus behind the outbreak. The organisation hoped soon to announce partners in the quest for a jab, she added, although she declined to give a timescale for when one might be developed. Cepi’s Nicole Laurie said global health bodies were ‘getting some live-fire drills’ with hantavirus and the latest Ebola outbreak. The hunt for a vaccine should be helped by scientific advances including the use of artificial intelligence to find drugs active against viruses, Lurie said. Existing jabs against the Zaire Ebola virus responsible for many previous outbreaks might provide a basis for tackling the Bundibugyo species, she added. “We’ll see how far and how fast we can get,” Lurie said, adding that Cepi had done preliminary work recently on a possible jab for the rat-borne hantavirus responsible for a recent fatal outbreak on a cruise ship. “Both with hantavirus and now with Ebola, [we] are getting some live-fire drills.” Source: Michael Peel in the Financial Times Dad-chat is coming for dad-books. (By Pamela Paul and Jeffrey A. Trachtenberg in the WSJ) They were the go-to gifts for Father’s Day: a book about some little-known chapter of World War II, the sweeping narrative of a shipwreck, perhaps the latest presidential biography. These days, dad books are a dying breed. Nonfiction book sales have been in decline for the past four years, and are now the most challenged segment of the print book market. Publishers say certain types of books still fare well—including celebrity memoirs and religious titles. But in recent years, print sales in such categories as biography, current affairs and business and economics—what publishers refer to as “serious nonfiction” and which tend to resonate especially with men—have fallen considerably. Sales of nonfiction print titles were down nearly 8% through May 9 this year, and sales of books about politics and current affairs were down 19%, according to book tracker Circana BookScan. Publishing has long been subject to cyclical changes, with trends in format and genre taking over bookshelves in grand sweeps. (Remember the adult coloring-book craze? Or the stratospheric rise of romantasy?) But many in publishing believe the decline in serious nonfiction is more existential. “The trend couldn’t be clearer,” said Jonathan Karp, the former chief executive of Simon & Schuster and publisher of the new Simon Six imprint. “This is a sea change and people should wake up and realize we’re living in a new world.” One culprit for the shift: a new media diet for fans of more serious nonfiction. … Sixty-two percent of men and 54% of women consumed a podcast in the prior month, according to a recent survey by Edison Research at SSRS, up from 46% and 39%, respectively, in 2023. “When we have internal meetings to talk about this problem, it always comes around to podcasts,” said Jonathan Burnham, president and publisher of the Harper Group at HarperCollins Publishers. “The man who wants to read American history is now tuning into one of the many good podcasts about history that lends the quiet attention to a serious subject he’s looking for. It makes the idea of sitting down with a 700-page Ron Chernow book less appealing. You’ve scratched that itch.” Source: Wall Street Journal Remarkable report by Novara from the nationalist rally in London in mid May. Anna Airy, Leopard Moth and Plums, 1915 If you’ve scrolled this far, you know you want to click: Subscribe
Rangers pitcher MacKenzie Gore leaves game with muscle tightness
Texas Rangers left-handed starting pitcher MacKenzie Gore left Monday night's game at Colorado after one inning because of muscle tightness in his back. Gore’s ailment occurred on the same day that the Rangers placed shortstop Corey Seager on the 10-day injury list because of lower back inflammation. Gore got up gingerly after diving to field a slow roller to the third base side, although it was not immediately clear if that play contributed to his injury.
Opinion | TV Bad Guys Come From Long Island
I noticed that a lot of TV villains come from the town I grew up in. I wasn’t surprised.
Windows 11 KB5089549 can now be downloaded for USB installs using official Microsoft tool
Microsoft has made an update related to the Media Creation Tool, its official utility for downloading and installing Windows via ISOs.
Scientists make old blood stem cells young again in major anti-aging breakthrough
As blood stem cells age, their lysosomes become overactive and damaged, triggering inflammation and weakening the body’s ability to regenerate healthy blood and immune cells. By calming this cellular “overdrive,” researchers restored the stem cells’ youthful function, dramatically boosting their ability to regenerate and produce balanced blood cells.
The missing cybersecurity leader in small business
With the average cyberattack costing SMBs over $250,000, Georgianna Shea and Cason Smith argue that virtual and fractional CISOs are no longer optional. Discover why federal support for high-level security leadership is critical to protecting the backbone of the American economy.
Rising gas prices force local sports official to seek additional work
Gas prices approaching $4.50 per gallon cause small business owners like sports official Soslan Temanson to pick-up additional work,
The Long and Short of Sports Sponsorship
How to make every sponsorship dollar work harder, before, during, and after the final whistle.
BBVA Channels €36 Billion into Sustainable Business in the First Quarter of 2026 (up 33 Percent YoY)
This activity allows the bank’s clients to gain access to financing and solutions for the energy transition, efficient resource use and social challenges.
Trump's disapproval rating hits record high in new poll
In the latest Washington Post-ABC News-Ipsos poll, Trump's disapproval rating reached its highest level across both terms. Here are the top issues.
Trump disapproval reaches new high, Post-ABC-Ipsos poll finds
Democrats now hold a five-point advantage in support for Congress, up from two points in February.
The politics of Trump's ballroom
WEST PALM BEACH, Florida — President Trump was about a half-hour into his second speech of the day, musing about the danger he faced last week at the White House Correspondents’ Dinner. “Saturday night, it was good for one thing. People are loving my ballroom now,” Trump told a crowd last night. “That’s the only thing. They love my ballroom.” Ever since he was hustled off stage at the Washington Hilton last week, after an attempted shooter breached the dinner’s security perimeter and sent guests diving to the floor, the president has argued that the incident is proof for why his White House ballroom is needed. Only his planned $400 million, 90,000-square-foot project, Trump has reasoned, can keep a president truly safe at major events. It’s true that a bunch of GOP lawmakers have jumped on board with new legislation and words of support for Trump’s project. House Speaker Mike Johnson, Sen. Rand Paul and other prominent Republicans went on TV to talk about the need for a ballroom. But as we reported at The Washington Post this week, “people” aren’t really changing their minds on Trump’s ballroom. A new Post-ABC News-Ipsos poll found that most Americans still oppose the ballroom project: 56 percent against it versus 28 percent in favor. The numbers are the same as a poll from last year, the Post’s polling whiz Scott Clement found. Other new polls have found similar margins, too. “I’m just not a giant fan, especially of extravagance,” one independent voter told me. “I mean, in the era we’re in right now, given how much people are struggling, it just doesn’t make a lot of sense to me to spend $400 million on a ballroom.” How we got here The Washington Post has followed Trump’s ballroom project very closely. (My colleague Jonathan Edwards may have written the most total words of any reporter about the project; I may be second.) The project exploded as a national issue after Trump tore down the White House’s East Wing after initially promising not to touch it.1 Historic preservationists sued, and about a month ago, a federal judge ordered a halt to ballroom construction.2 The only way the ballroom could proceed, U.S. District Judge Richard Leon ruled, was if Congress explicitly authorized Trump’s plans. (An appeals court has stayed Leon’s order for now.) The judge’s ruling raised an obvious question: would Congress authorize the project? Keep in mind, “authorization” doesn’t mean that Congress needs to necessarily fund the planned $400 million project; they could just sign off on the private donations that Trump has solicited to pay for the ballroom.3 But GOP lawmakers really didn’t want to talk about the ballroom, we reported at The Post just a few weeks ago. One major reason was the ballroom’s bad polling — not a small detail with many of their own midterm elections looming. The White House Correspondents’ Dinner incident, and Trump’s advocacy, may have changed the political conversation around the ballroom. As this week’s polling shows, it doesn’t seem to have affected the fundamental questions surrounding the project. To put it another way, voters still say that cost-of-living concerns are top-of-mind heading into the midterms. Some Republican and independent voters have told me that they see the ballroom as a vanity project that will help Trump but do nothing for their own lives. It might not help Republicans that Trump has dismissed some of the cost-of-living concerns. He’s described “affordability” as a buzzword manufactured by Democrats whose policies helped cause inflation. “They’ve got one good line of bullshit,” Trump said in his first speech yesterday, delivered at a Florida retirement community known as The Villages. Thanks for reading Dan Diamond's newsletter! Subscribe for free to stay up-to-date on my work. Subscribe Speaking of Trump’s speeches… I’m down in Florida because it’s my “duty week” as a White House reporter — basically, I follow the president wherever he goes. (And then hand the baton off to one of my Washington Post colleagues next week.) As part of my duty week, I’ve spent a few days covering the White House’s reaction to Saturday’s attempted shooting, including officials’ review of the security protocols to protect the president. Trump was restrained in the wake of the incident, addressing the nation from the White House briefing room about the need for peaceful dialogue and trying to lower the temperature. But he’s clearly been itching to get back out of the White House, and I was curious to hear how his Florida speeches would go. And — to my ears — it was an unburdened Trump. Not the one we saw Saturday night in the White House briefing room, but the one we witnessed on the campaign trail in 2024. Loose, dropping profanities, mocking everyone, including members of his team. “We have a man here who knows more about Medicaid, Medicare, medical crap than any human being. Where’s Dr. Oz? Where the hell are you, stand up,” Trump said, referring to Mehmet Oz, the administrator of the Centers for Medicare and Medicaid Services. “It’s the most boring trip I’ve ever made. He’s telling me about Medicare, Medicaid. All I want to do is take care of you, I don’t care. I said, ‘You work out the details.’” I wrote up the speech, as Trump headed to West Palm Beach to deliver more remarks a few hours later. The White House didn’t like my story. Their rapid-response team called it the work of a “total loser”4 and “a miserable TDS-ridden moron.” You can be the judge of whether it’s a fair story or the product of someone afflicted with “TDS.” (The White House’s shorthand for “Trump Derangement Syndrome.”) I’ve pasted the story below with a gift link, meaning that you don’t need to be a Washington Post subscriber to read it. It might prompt you for an email address, though. Meanwhile, I’ll be down in Florida for the rest of the weekend, covering the president. It’s TBD whether those stories will be deemed TDS-afflicted, too. 1 Jonathan details the past six months of ballroom fallout, reactions and the implications for executive authority here. I also had a great time talking about Trump’s ballroom and other projects with Australia’s ABC News Daily on a podcast this week. 2 The judge allowed underground construction and national security-related work to continue. But that hasn’t been enough for Trump, who says the ballroom itself is essential for his protection. 3 The ballroom donors include companies like Palantir, Google and Amazon. For transparency, Amazon founder Jeff Bezos owns The Washington Post, where I work. No one has ever interfered with our team’s coverage of the ballroom or our mentions of Amazon or Bezos, and if that changed, I’d speak out. 4 To be fair, I’ve spent the morning working on stories and writing this Substack post rather than enjoying the beautiful Florida weather. So they may be onto something about who’s winning and who’s losing.
Poll: Trump’s Iran war reaches Iraq- and Vietnam-era disapproval levels
A Post-ABC-Ipsos poll shows most Americans call the military action a mistake, even as Republicans remain strongly supportive. Many fear the conflict will lead to a recession.
Samsung Galaxy Watch Ultra 2: 5G, Satellite SOS, and the AI upgrade we’ve been waiting forthink
Discover the Samsung Galaxy Watch Ultra 2. Featuring the new Snapdragon Wear Elite chip, 5G connectivity, and Satellite SOS,
Experienced candidates face political newcomers in primaries for Ohio secretary of state
COLUMBUS — The Democratic and Republican primary elections for Ohio secretary of state both pit candidates with experience in elected office against ...
Longtime DJs John Smith and Bill Harper team up during SOS
John Smith is a legendary figure in the beach music scene, but the veteran DJ needed a new tag-team partner. He and Bill Harper are playing tracks around North Myrtle Beach.
Shaky political science: using "simulated" elections over real-world elections
[Dear DSOS readers – this article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in early December, we examined over 40 studies focused on ranked choice voting. We found that many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data, and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
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A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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The session showcased case studies from India and the United Kingdom (UK), demonstrating innovative approaches to respiratory virus surveillance and pandemic readiness. Read moreSTRENGTHENING REGIONAL INFLUENZA SURVEILLANCE AND PREPAREDNESS: WHO SEARO HOSTS HIGH-LEVEL WEBINAR AMID RISING H5 THREATS In response to the increasing detection of avian influenza A(H5) cases in humans globally and within the WHO South‑East Asia Region, the WHO Regional Office for South‑East Asia (SEARO) convened a regional webinar on 25 July 2025 to review preparedness mechanisms, strengthen surveillance pathways, and promote timely reporting of unusual respiratory events. The virtual session brought together more than 50 participants from Ministries of Health, National Influenza Centres (NICs), National IHR Focal Points (NFPs), WHO Headquarters, WHO Country Offices across the Region, and WHO Collaborating Centres (CCs) for influenza. The webinar provided an opportunity to share situational updates, discuss surveillance gaps, and reinforce coordination mechanisms critical for early detection and rapid response to avian influenza threats. Read moreOther Key PIP Updates (July-December 2025)MEMBER STATES:Bangladesh drafted and conducted a series of Core Group Meetings in 2025 to review and update the National Pandemic Preparedness and Response Plan for Respiratory Pathogens. In addition, the country carried out Rapid Response Team (RRT) trainings on seasonal and avian influenza and other re‑emerging infectious diseases. Bangladesh also updated its epidemiological data‑training programme for physicians at sentinel surveillance sites, using a revised epidemiological data‑collection tool.Bhutan revised and updated its National Influenza Pandemic Preparedness and Response Plan (NIPPRP) in 2025 and developed a national Standard Operating Procedure (SOP) for influenza outbreak management. DPR Korea conducted a nationwide simulation exercise in July 2025 to support the update of its National Influenza Pandemic Preparedness Plan (2019). This followed a PRET‑based virtual orientation and mini‑simulation exercise held in May 2025 by SEARO and the WHO PRET Secretariat. The comprehensive exercise, conducted across central and provincial levels, assessed strengths and gaps in pandemic influenza preparedness and response. The feedback gathered has been incorporated into the revised draft plan to address identified weaknesses and strengthen overall readiness.India conducted a targeted nationwide online re‑orientation training on review and updates to the influenza portal for all State Surveillance Officers (SSOs) and relevant officials using the Integrated Health Information Platform (IHIP). The training emphasized correct marking and reporting of influenza samples as “unsubtypable” or “not subtyped” where applicable, to ensure accurate national surveillance.Maldives conducted simulation exercises in three atolls based on its existing National Pandemic Preparedness and Response Plan (NPPRP). The country plans to conduct similar exercises in three additional atolls after updating the NPPRP in 2026. In addition, Maldives conducted training on FluID and FluMart as part of a broader data‑management training package for Ministry of Health and Health Protection Agency officials, aimed at improving routine reporting to WHO platforms and the DHIS2 system.In Myanmar, technical support was provided to the National Influenza Centre (NIC) through dedicated human‑resource support (January–December 2025) to sustain data management and laboratory detection capacity for influenza and other emerging and re‑emerging respiratory viruses. This support also included strengthening genomic sequencing capacity.Nepal conducted a consultative workshop on the National Pandemic Preparedness and Response Plan (NPPRP) in July 2025. The workshop engaged key stakeholders from multiple sectors to review lessons from past pandemic responses, assess current mechanisms, and gather critical inputs for strengthening national preparedness. Key recommendations included revising the 2019 NPPRP and developing an updated Influenza Pandemic Preparedness Plan aligned with emerging risks, national priorities, and relevant international frameworks. Nepal also held a two day workshop dedicated to advancing the National Action Plan for Genomic Surveillance, aimed at reinforcing the country’s capacities for early detection and monitoring of emerging respiratory pathogens.Sri Lanka received the final report from WHO on the feasibility assessment for conducting an Influenza Burden of Disease (BoD) study in the country. The assessment, conducted from 28 April to 9 May 2025, included a desk review of existing data sources, document review, visits to sentinel surveillance sites, and key informant interviews. The study identified critical data sources required for a future BoD assessment, as well as their availability and quality. Officials from the Epidemiology Unit, the National Influenza Centre (NIC), and SARI/ILI sentinel hospitals across the country participated in the assessment.Timor Leste conducted on‑the‑job training and monitoring activities at two sentinel surveillance sites to strengthen surveillance and laboratory capacity for the detection of SARI, ILI, ARI, and other respiratory infections. REGIONAL OFFICE:SEARO conducted a Member States Consultation on the first draft of the Regional Roadmap and Strategic Action Framework for implementing WHO’s PRET‑based broad respiratory pathogen pandemic planning for 2026–2031. The consultation took place on 29–30 October 2025 during the final two days of the Regional PIP PC Annual Review and PRET Meeting in Colombo, Sri Lanka. Participants included representatives from Member States, WHO Country Offices, WHO SEARO, WHO Headquarters, partner agencies, and invited multidisciplinary technical experts. They reviewed the draft and provided detailed feedback, which has since been incorporated into a revised version. The consultation helped shape a shared regional vision for robust, PRET‑aligned pandemic preparedness, building on country‑level progress, addressing existing gaps and challenges, and aligning with global and regional health security frameworks. The publication is planned for release during the SEAR regional committee in 2026.SEARO documented the evolution of the National Influenza Pandemic Preparedness Planning process in the Region, tracing its development from its origins as a planning tool for responding to avian influenza outbreaks in 2006, through the experiences of the 2009 and 2019 pandemics, to the current status. The document outlines the way forward for respiratory pathogen pandemic planning across all 10 SEAR countries, aligning future national plans with WHO’s PRET Framework for broad respiratory pathogen pandemic preparedness.The Infectious Hazard Management (IHM) Unit has drafted the WHO South‑East Asia Regional Guidance on Influenza Prevention and Control, aligned with the Global Influenza Strategy and other regional initiatives. The draft is currently under review. Although this technical product was developed in response to a request from the Ministry of Public Health of the Democratic People’s Republic of Korea (MoPH‑DPRK), SEARO is finalizing it for use not only in DPRK but also across all Member States in the Region.The Immunization and Vaccine Development (IVD) Unit, in collaboration with WHE/SEARO, completed a regional landscape analysis on key barriers, challenges, and opportunities for the introduction of seasonal influenza vaccination in WHO South‑East Asia Regional (SEAR) countries.Additionally, the Immunization and Vaccine Development (IVD) Unit has completed a regional landscape analysis of influenza vaccine procurement systems across the WHO South‑East Asia Region (SEAR).KEY MEETINGS AND PUBLICATIONSMEETINGS:Six-month progress review of the implementation of the PIP-PC workplans in SEAR, focusing on Outputs 1 and 2 for the period January to June 2025, and held virtually across three sessions on 4, 8, and 10 July 2025. Read moreAnnual Regional Meeting (Hybrid) on Pandemic Influenza Preparedness (PIP) Partnership Contribution (PC) and WHO’s Preparedness and Resilience for Emerging Threats (PRET) Implementation in SEAR in Colombo, Sri Lanka, 27 to 30 October 2025. Read more18th Bi-regional Meeting (Virtual) of National Influenza Centres (NICs) and influenza surveillance in WHO South-East Asia and Western Pacific Regions from 9 to 11 September 2025. Read morePUBLICATIONSImplications of influenza A virus surveillance in Southeast Asian Region countries: a scoping review of approaches for the surveillance of swine influenza viruses at human-swine interfaces. Read moreAnnual South-East Asia regional meeting on operational planning for implementation of global influenza strategy and preparedness for respiratory viruses in 2025 Report on annual review meeting of implementation of pandemic influenza preparedness (PIP) partnership Contribution (PC) Fund in South-East Asia Region and the simulation exercise on PRET Status of influenza in who south-East Asia Region
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