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‘Under the Radar’ Cowboys Free Agent Predicted for Major Payday
Bleacher Report predicts Dallas Cowboys CB Cobie Durant could land a major payday in 2027 with a standout season. The post ‘Under the Radar’ Cowboys Free Agent Predicted for Major Payday appeared first on HEAVY.
iPhone 18 Pro and Foldable iPhone Tipped to Get Price Hikes Too
Apple's iPhone 18 Pro lineup and its first foldable iPhone will launch at higher prices than originally predicted this September, according to several known Chinese leakers.
2026 SEC football predictions: Game-by-game picks, projecting every team's final win-loss record
Continuing our early-summer projection series for all 16 teams in the SEC and where they'll end up in the postseason
Sweden and WHO launch new long-term initiative to transform Ukraine’s health system
WHO and the Swedish International Development Cooperation Agency (Sida) have launched a new multi-year cooperation project to support the long-term recovery and transformation of Ukraine’s health system. The new project, “Ukraine’s Health System Transformation Initiative: Strengthening Health Governance, Health Financing and Service Delivery for Long-Term Recovery”, was launched at the Ukraine Recovery Conference 2026 in Gdansk, Poland on 26 June, and will run from June 2026 to 2029. Sweden will contribute approximately US$ 26 million (240 million Swedish krona) to support this project. This contribution forms part of Sweden’s broader support to Ukraine through the Team Europe approach, which brings together the European Union, its Member States, and key partners such as the European Commission’s Directorate-General for Enlargement and Eastern Neighbourhood and Enabel, and WHO as lead health agency, to support Ukraine’s recovery, reform agenda and European integration.“Ukraine’s health recovery cannot be measured only by what is rebuilt, but by whether people can count on the health system when they need it most. The scale of the task is immense, with health reconstruction and modernization needs estimated at US$ 19.4 billion over the next decade. Sweden’s US$ 26 million contribution to Ukraine’s Health System Transformation Initiative is a timely investment in the institutions, financing and services that will support Ukraine’s long-term recovery and European integration. WHO remains a trusted partner of the Government of Ukraine in advancing this process. I am deeply grateful to Sweden for its consistent support and partnership,” said Dr Hans Henri P. Kluge, WHO Regional Director for Europe. More than 4 years of war have placed unprecedented pressure on Ukraine’s health system, creating 3 interconnected challenges. The first is responding to the immediate consequences of the war and the urgent health needs of the population. The second is recovering and modernizing health services today. The third is continuing reforms and aligning the health system with European standards in the context of Ukraine’s future accession to the European Union. The war has led to large-scale population displacement, an increasing need for trauma care and rehabilitation, and shortages of health workers. High out-of-pocket payments in Ukraine make access to health services more difficult. Around 46% of total health expenditure is paid directly by individuals, placing a significant financial burden on many households and underscoring the need for reforms in health financing. Older people, persons with disabilities, women, children and veterans continue to face the greatest difficulties in accessing health services. “Ukraine is demonstrating that health system transformation can continue even during war. Ukraine is also continuing to align its health system with European norms and standards. WHO is committed to supporting Ukraine on this journey. We provide technical support, help coordinate partners’ efforts and support the institutional changes needed to strengthen the system. We are grateful to Sweden for its support. Through this partnership, we can help Ukraine build a more resilient, accessible and people-centred health system,” said Dr Jarno Habicht, WHO Representative in Ukraine. About the Health System Transformation InitiativeThe new initiative will support Ukraine through 3 interconnected areas: strengthening governance and coordination of health sector reforms through more inclusive coordination platforms and structured policy dialogue; transforming service delivery by reinforcing a primary health care-centred model that integrates family medicine, nursing and midwifery; and improving financial sustainability by supporting reforms that ensure the long-term viability of the national health system and reduce out-of-pocket payments for households. Overall, these reforms are expected to make the health system more coherent and easier to navigate, improve the quality and continuity of care, and ensure more equitable access to services, particularly for those who need them most. They will also support Ukraine’s progress towards a more modern health system aligned with European standards. “We are convinced that long-term recovery is not possible without strong, high-quality, person-centred health services that are accessible to everyone. Our partnership with WHO is designed to support deep and lasting systemic changes. Investments in human capital especially autonomous midwives, whose role for maternal, newborn and adolescent sexual and reproductive health cannot be understated, stronger governance, digital transformation and the financial sustainability of the health system are investments in Ukraine’s future. We are proud to support this process,” said Malin Perhult, the Head of the Ukraine Unit at Sida. Focus throughout implementation will be given to the most vulnerable population groups, including older people, women and children, and persons with disabilities, who have been affected by the war and face greater health-care needs. The initiative will be implemented in close cooperation with the Ministry of Health of Ukraine, the National Health Service of Ukraine, the Public Health Centre of Ukraine, regional authorities and international partners. This project will help Ukraine move towards a system where everyone can access the health care they need. It will strengthen primary care, make the health finance system more stable and predictable, and reduce the out-of-pocket costs that Ukrainians face when using health services. As a result, the Ukrainian health system will become more aligned with European standards and more sustainable in the long run.
Egypt vs Iran at World Cup 2026 – Salah, prediction, lineups, how to watch
Mohamed Salah's Egypt and Mehdi Taremi's Iran are both in the hunt for the FIFA World Cup knockouts in Group G.
2026 NHL Mock Draft
Ahead of tonight’s NHL draft, let’s take a stab at how the first round could play out tonight. First, a moment of silence for our near miss last year – when we tried to predict that Kyle Dubas would go ‘off the board’ with a high pick on a WHL center that no one saw […]
Serious statin side effects on muscles are extremely rare, new research confirms
Scientists created a new tool to help doctors predict a patient’s risk of severe muscle problems from taking a statin.
Scientists develop predictive roadmap to boost performance in next-gen spintronics
Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the spin of electrons in spin-based optoelectronics, or spintronics, but getting them ...
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Grand Theft Auto VI pre-orders open, but don’t expect a physical copy
The blockbuster launch is expected to dwarf the box office takings of the year’s biggest movies with one industry analyst predicting it could make $1bn within an hour
How should European scientists respond to the US AI kill switch?
Earlier in June, Europe’s worst fears of technological dependence were confirmed when the White House ordered the AI firm Anthropic to stop non-US citizens using its leading models. This kill-switch moment crystalised anxieties in Brussels that the continent, lagging the US on the creation of leading-edge AI models, is now a technological of vassal of Washington. The shock has specific implications for European scientists and universities. Some governments are now worried that with AI being integrated into labs, Donald Trump now has his finger hovering over an off switch for European science. “Having restrictions on this tool, it can have an impact on our own research,” said France’s research minister, Philippe Baptiste, at the VivaTech conference in Paris on June 18.Baptiste, himself a former academic, said that colleagues in mathematics had recently warned him they were now cut off from leading-edge US models, risking their work. “This model is not available anymore now because of the US restriction, and for the first time this had an impact on mathematics,” a field where large language models (LLMs) are making a significant contribution, said Baptiste. So, should European scientists avoid relying on US models in the future? Or would this be a self-harming overreaction? And how is AI being used in science, anyway? What happened?On June 12, it emerged that Washington, citing cybersecurity concerns, had ordered Anthropic to stop non-US citizens using two models: Claude Mythos 5, and Claude Fable 5, a version of Mythos but with guardrails to prevent abuse. Anthropic said Washington’s concerns were overblown. But forced to follow the order, yet with no way to check who was using the models, the company suddenly shut down access for everyone, US citizens included. There’s still no agreement on how to restore broad access. But last week, Bloomberg reported that select US companies, and the US government, still had access to Mythos despite the ban, but the EU’s cybersecurity agency Enisa had been shut out. Class division of researchersIn the longer term, access outside the US should be restored, said Marcel Salathé, co-director of the AI centre at the Federal Polytechnic School of Lausanne (EPFL), because a permanent restriction would be financially ruinous to US AI firms. “Even Trump will eventually budge to economic pressure,” he said.However, US AI firms might end up operating rather like banks, doing due diligence on users of their leading-edge AI models, he went on.European scientists are unlikely to fall foul of such checks, he said. But having a Chinese postgraduate in their lab, or doing a type of research the US disapproved of, could potentially result in access being denied. “It will create a sort of class division of researchers,” he said. More than frontier modelsHowever, successfully deploying AI in science is about far more than just having access to leading LLMs such as Mythos.Instead, many science-specific tools, most famously Alphafold, which predicts protein folding structures, require “far less” computing power to train than frontier models, well within the capabilities of European supercomputers, according to a recent analysis by the Arq Foundation, a Brussel-based AI think tank. Instead, tools such as Alphafold are possible because certain fields, like protein folding, weather prediction or astronomy, have large, clean, standardised datasets that can be used to train predictive models. Rather than compute, “data is the central constraint for AI for science,” the report says. For example, a less powerful physics model trained on CERN’s data “will be more valuable than the best model without certain data,” said Bengüsu Özcan, author of the report. European advantage?Europe could therefore steal a march by using its scientific data and infrastructure to create models US digital giants cannot. “They might actually match or go even beyond what these big [US] companies are doing,” said Özcan.Indeed, some European start-ups hope to create automated testing labs to create the kind of standardised data that could speed up the discovery of new materials. Materials scientists say there’s currently too little data to train models. AI scientistsHowever, even if the bottleneck for AI in science is often data, rather than compute, being at the mercy of the US for LLM access could still become a problem for European scientists. A new class of “AI scientists” based on leading LLMs is also emerging, Özcan’s report says.Unlike domain-specific tools like Alphafold, these try to automate day-to-day scientific work, by providing an overarching tool that coordinates specific models to synthesise existing literature, generate hypotheses or run analysis of data. The problem for Europe, however, is that these tools are sometimes based on US leading models. Google Deepmind’s AI Co-Scientist, for example, is built on Google’s Gemini LLM. Systematic failureThese scientific automation tools are still in their early stages, and still exhibit “systematic failures on scientific tasks,” Özcan’s report says. One of the problems is that the messy, day-to-day process of scientific discovery is largely not documented, meaning LLMs don’t have a good source of data to learn how scientists actually work. Meanwhile, some tasks, such as literature synthesis, don’t typically require access to leading edge models.However, the performance of AI scientific assistants could improve as companies such as Google pour resources into developing them. Rely on US“Unfortunately, for scientific assistants, there is not much we can do right now except rely on US frontier AI,” said Antoine Bosselut, a natural language processing expert based at EPFL. Chinese-built open models, which can run on local computers, lessening the risk of a shutdown, are touted as one alternative to US dependence. There’s also Mistral, once seen as Europe’s main AI hope, but the Paris-based company has seen its recent models fall behind in performance. But the Chinese alternatives are generally not as capable as US frontier AI models, said Bosselut, unless paired with fiddly, custom tools that allows them to act as independent agents. “Most scientists do not have the time,” he said. Don’t jump ship yetAlthough the kill switch moment is seen a warning shot for European scientists, it doesn’t mean labs should abandon US AI tools immediately. “I do not think the right response is simply to abandon US-based models and systems under the banner of sovereignty or independence,” said Mattias Björnmalm, secretary general of the Cesaer university association. “That would be an overreaction.”Related articlesEuropean sovereignty in AI requires ‘ugly trade-offs,’ say experts Robotic lab start-up makes case for €500M EU-funded materials testing facilityAI in science: is it useful? Instead, European researchers need to ask themselves whether they’re becoming dependent on technology that could be turned off in Washington, said Özcan. “They might not see this today, but they should really start asking this question,” she said. European researchers need a plan B, said Salathé. “I would recommend to every researcher, very proactively explore alternatives.”Own toolsIn addition, Björnmalm and others want European research institutions to develop their own scientific AI tools.Instead of signing AI deals with US digital giants, European universities should be using this money to create their own models, which may end up being superior for research, said Sabine Leonelli, an expert on the use of AI in science at the Technical University of Munich. “Universities in Europe seem to be happy to sign commercial contracts with US companies on the assumption [their AI tools] are better,” she said. But US frontier LLMs are typically opaque, and have been developed without independent scientific input, she said. “This is not good enough for science.”Last year, Swiss researchers released Apertus, an LLM designed to be completely transparent, from its development methods to its training data. The idea is that this makes scientific tools built on top of the model far more reproducible than with closed, commercial alternatives.“Europe needs more of this: serious capacity-building that gives researchers, universities and companies credible options,” said Björnmalm.
Meta's Zuckerberg enters the prediction market arena
Mark Zuckerberg is launching his next major project: a betting platform modeled after Polymarket. The prospects for success are good, alarming experts.
Mexico XI vs Czechia – Predicted lineup and team news
Mexico conclude their 2026 World Cup group stage campaign with a clash against Czechia at the Estadio Azteca in the early hours of Thursday morning.The co-hosts have won back-to-back games against Sou...
Dolphins dead last in recent power rankings
Frank Schwab of Yahoo Sports predicts a difficult 2026 for Miami.
A NASA satellite caught a giant tsunami doing something no one expected
A Pacific-wide tsunami triggered by a magnitude 8.8 Kamchatka earthquake gave scientists their first detailed satellite view of a major tsunami in motion. The observations revealed unexpected wave behavior and helped uncover a larger earthquake rupture than earlier models predicted.
Predicting the Nets 2026-27 Opening Night Starting Lineup
In the aftermath of the 2026 NBA Draft and a big trade, how do the Nets look heading into next season?
Business travel is predictable again — and that’s a powerful signal for marketers
Business travel has moved beyond recovery and into a steadier rhythm, giving marketers greater confidence in audience behavior and long-term planning.
Can the Sugar Molecules That Coat Our Cells Predict Our Health?
Can the Sugar Molecules That Coat Our Cells Predict Our Health?: Glycans, once ignored, may revolutionize medicine
Polymarket allegedly faked trades. Chances are slim Trump admin investigates, says sports-betting attorney
A recent Wall Street Journal investigation found that the prediction market hired influencers to stage fake trades as part of its marketing campaign to attract U.S. users.
Valve Explains Why You Have To Pay $1,050 To $1,430 For A Steam Machine
Valve has finally revealed the price of the Steam Machine, and it's more than almost anyone predicted. Can you afford it?
IC360 and BIG EAST Conference Expand Integrity and Compliance Partnership
NEW YORK – The BIG EAST Conference and Integrity Compliance 360 (IC360), the global technology and advisory platform for integrity and regulatory solutions in sports, sports betting, iGaming, and prediction markets, are proud to build on their comprehensive partnership.
Why prediction markets’ election picks are useful, even when they seem wrong
A Post analysis found that primary candidates ended up winning about as often as bettors thought they would.
Portugal vs Uzbekistan – Predicted lineup and team news
Portugal and Uzbekistan continue their World Cup campaigns on Tuesday at Houston Stadium, facing off in a Group K Round 2 clash.The European side heads into the match with inconsistent form following ...
A New Bill Would Ban Lawmakers From Betting on Politics and Elections in Prediction Markets
CNBC’s Emily Wilkins reported last week that House lawmakers have introduced legislation that would prohibit members of Congress, their spouses, and dependent children from placing wagers in prediction markets on political, policy, or election outcomes. “House lawmakers are just dropping a brand new bill that would ban lawmakers from making any bets in prediction markets ... A New Bill Would Ban Lawmakers From Betting on Politics and Elections in Prediction Markets
Dalton and Tristi's NBA mock draft 4.0: Who Warriors, Kings pick in first round
NBC Sports Bay Area and California predicts who the Golden State Warriors and Sacramento Kings will pick in the 2026 NBA Draft's first round.
Federal science cuts could threaten California wildfire forecasts
More cuts to federal science programs could threaten weather forecasts crucial to predicting wildfire behavior.
NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure
The U.S. National Science Foundation’s NAIRR pilot program has driven innovative research across the U.S. for over 700 projects — spanning protein prediction and infectious disease outbreak management.
Prediction markets push gambling to new level, causing concern
The state is waging a legal fight to preserve oversight and tax revenue amid competition from the increasingly popular platforms, which are regulated by the federal government.
Reader wants to know what happened to Tennessee's football museum
David says why my football/track plan won't work. Randy revives memories of Peyton Manning wax statue. Jimmy predicts end of Josh Heupel era.
Poll: Americans draw a new line in the betting bonanza sweeping over Wall Street
A plurality of Americans believe betting on election outcomes should be illegal, The POLITICO Poll finds.
Science-Backed Beauty Formulations Market Size and Growth Analysis Study 2026 to 2035
Global Science-Backed Beauty Formulations Market Size is predicted to grow at a 8.6% CAGR during the forecast period for 2026 to 2035. The skincare formulations segment is set to take a large share of the science-backed beauty market. This growth comes from more people focusing on skin health, anti-ageing, acne, hyperpigmentation, and barrier repair.
Clalit Health Services to join European AI research project predicting, managing pandemics
Clalit Health Services will join an international consortium of health authorities to create an AI research platform to predict and manage pandemics in advance.
Seahawks' Jaxon Smith-Njigba Overlooked in Calvin Johnson's Record Prediction
Megatron snubbed the reigning Offensive Player of the Year, favoring Puka Nacua to break his receiving record despite JSN’s historic 1,793-yard season and Super Bowl title run.
Prediction markets surge in US as public health advocates call for support to combat gambling
Platforms like Kalshi and Polymarket operating in areas with limited resources for people with gambling problems
Cape Verde XI vs Uruguay – Predicted lineup and team news
Cape Verde arrive at Miami Stadium on Sunday looking to build on one of the most celebrated results in their nation’s sporting history.The Blue Sharks produced a disciplined, resolute defensive disp...
François Englert, Nobelist Who Helped Predict the ‘God Particle,’ Dies at 93
His work paved the way for the discovery of the Higgs boson, which explained how particles acquire mass, solving one of the deepest mysteries in physics.
Vikings Free Agent Prediction Turns Heads
ESPN insider Aaron Schatz suggests Minnesota target veteran Haason Reddick to bolster edge depth, providing Brian Flores with a versatile pass rusher to complement star Dallas Turner.
Here’s who’ll win the World Cup, according to science
Statisticians from across Europe teamed up to train a competition-predicting, machine learning algorithm. This is what they found.
Easy money or risky business? What can Hong Kong do as prediction markets boom?
Despite official warnings ahead of World Cup, Polymarket and Kalshi remain popular with residents who bet on everything from politics to weather.
Miami Heat or Boston Celtics? Predicting Giannis Antetokounmpo’s Landing Spot
Giannis Antetokounmpo is likely nearing the end of his tenure with the Milwaukee Bucks. Milwaukee’s self-imposed trade deadline for Antetokounmpo […]
Kansas City’s Black-owned businesses court World Cup visitors with a new shopping guide
The hope is that the World Cup, predicted to bring in more prospective shoppers than Kansas City has ever seen at once, jumpstarts long-term growth.
Exclusive | Charles Schwab Breaks into the Prediction Market Business
The brokerage is working with Cboe to offer yes-or-no contracts tied to the performance of the S&P 500 index.
Oregon Football: 2026 Ducks Season Preview and Prediction
Athlon Sports previews Oregon's 2026 season and where coach Dan Lanning's team projects in the Big Ten.
Former Patriots Quarterback Predicted To Be Traded To Panthers Midseason
The New England Patriots have found their franchise quarterback in Drake Maye, but his predecessor is still looking for another opportunity to shine.
Steil pushes bill to ban lawmakers from political prediction markets - Live Updates
The Wisconsin Republican's legislation follows a string of high-profile episodes of alleged insider trading on the new markets.
GOP Rep. Steil pushes bill curbing members of Congress from prediction market betting
The new proposal on limits on members of Congress making such bets come as scrutiny increases on prediction markets like Kalshi and Polymarket.
Prediction markets are creating new opportunities for unregulated insider trading and unethical betting by turning politics into a game
Matt Motta, Boston University and Robert Ralston, University of Birmingham
Prediction markets are skeptical of California's billionaire tax
Kalshi and Polymarket bettors are unsure if California Gov. Gavin Newsom can prevent a proposed billionaire tax from reaching voters.
Kansas City’s Black-owned businesses court World Cup visitors with a new shopping guide
Kansas City G.I.F.T, a nonprofit focused on growing Black entrepreneurship, will distribute a guide in June that features 30 Black-owned businesses. The hope is that the World Cup, predicted to bring in more prospective shoppers than Kansas City has ever seen at once, jumpstarts long-term growth.
Analyst predicts 49ers star to break long-standing NFL record
Christian McCaffrey has been in the NFL long enough where he is now staring at some NFL records.
Fantasy Football Sleepers, Busts & Predictions: 2026 Philadelphia Eagles
This year promises to be a big year of transition in Philadelphia. A.J. Brown is gone, and Makai Lemon, Dontayvion Wicks and Hollywood Brown are here now. Kevin Patullo and Jeff Stoutland are gone as offensive coordinator and offensive line…
Vibrating pill could help predict relapse risk for anorexia nervosa patients
UCLA study shows a vibrating pill could help doctors determine if a patient with anorexia nervosa may have a higher risk of relapse.
Can Your Scalp Health Predict How Well You're Aging?
The scalp undergoes age-related changes just like any other part of the body. However, scalp health can't reveal much about how well you'll age.
Soccer is a ‘poorly designed experiment.’ And that makes it great.
Look no further than Cape Verde tying Spain in the World Cup and embrace the unpredictability.
Soviet institutes, Martian neighbours, Whovian science, stellar patterns and dystopian predictions: micro reviews of recent books
Condensed natter: Physics World editors give their compressed verdicts on top new books
Is gambling the reason we have pro sports?
To hear author David Bockino tell it, gambling has always been a key ingredient of pro sports in the U.S.—it’s as American as apple pie. Bockino is the author of the new book Over/Under: An Unexpected History of Sports Betting. So what gave rise to this new wave of sports gambling? And what are we risking placing so many bets on games? Fact checking by Sierra Juarez. Your Next Listen — Prediction markets are threatening national security. Who’s gonna fix it? Connect with The Indicator — Sign up for The Indicator’s brand new newsletter — Buy the Planet Money book — Find our socials, YouTube and more! — For sponsor-free episodes, subscribe to NPR+
Australian Predictive Healthcare Startup Raises $46 Million
Sydney-based Airtree Ventures led the financing, joined by Left Lane Capital in New York.
NBA offseason bold predictions: Stars on the move, LeBron James leaves Lakers, Draft shocker and more
The NBA offseason has arrived, and plenty of big moves will be made over the coming weeks... so let's get bold
People are betting on elections. Congress is watching
As prediction markets stir debate over betting on politics, the Los Angeles mayoral race raised a new question: What happens when people wager on elections?
Play Chaos Cubed Today
Chaos Cubed has landed in Minecraft! Explore a striking cave biome filled with bubbling sulfur pools, build with sulfur and cinnabar, and discover the sulfur cube’s curious appetite for blocks! From bouncing and sliding to explosive surprises, this unpredictable mob unlocks exciting new ways to build, compete, and survive. Play Chaos Cubed today in Minecraft!
Novig wins CFTC approval as competition intensifies in sports prediction markets
Novig is building a peer-to-peer sports trading platform that allows users to trade directly against one another rather than bet against the house.
Flutter Entertainment is called undervalued by Wedbush
Wedbush starts Flutter (FLUT) at Outperform, citing FanDuel’s U.S. strength and prediction market upside after a 50% drop.
Prediction markets are opening many new opportunities for unregulated insider trading and unethical bets – in the name of making a game out of politics
The rapidly growing popularity of prediction markets is sparking worries about the markets’ effects on US politics, where campaign staff has bet on its candidate’s electoral performance.
Lawmakers fight to stop the Trump administration's dismantling of a $386 million ocean observatory project
Monday’s pushback against the Republican administration’s actions comes as scientists are set to remove instruments from the Pacific and as an El Niño event is predicted to arrive this summer.
Uruguay XI vs Saudi Arabia – Predicted lineup and team news
Uruguay launch their World Cup campaign against Saudi Arabia in Miami on Monday.La Celeste aim to secure a dominant victory in this Group H opener. Marcelo Bielsa has implemented a high-pressing tacti...
Saudi Arabia vs Uruguay – Predicted lineup and team news
Saudi Arabia kick off their 2026 World Cup campaign against Uruguay on Monday evening.Miami’s Hard Rock Stadium hosts this highly anticipated Group H encounter. The Green Falcons want to secure a po...
Cape Verde XI vs Spain – Predicted lineup and team news
Cape Verde face Spain in Atlanta on Monday to make absolute World Cup history.This monumental match represents their first-ever appearance at the global finals, completing a remarkable journey. The Bl...
NFL Analyst Makes Prediction for Bucs' Season
Former Super Bowl champion Logan Ryan envisions a dominant NFC South run for Tampa Bay, forecasting a double-digit win season fueled by Todd Bowles’ sophisticated defensive schemes.
Why Marketing Feels Harder as Your Business Grows by Nathan Tayloe
At some point, most growing businesses hit the same moment. What used to feel straightforward starts to feel more complicated. Marketing takes more effort. Results feel less predictable. What once worked consistently begins delivering mixed outcomes. It is easy to assume something is broken. In many cases, nothing is. The business has simply reached a different stage. What Worked Before Starts to Lose Its Edge Early on, growth is often driven by a few things working well at the same time: Referrals are strong The value of the offering is clear The team is aligned Decisions are made quickly Marketing, in that stage, tends to feel easier because the business itself is easier to understand. As the company grows, that simplicity fades. The audience expands. Services evolve. New people join the team. More channels are added. More decisions are made across more touchpoints. Marketing is no longer communicating one clear story. It is trying to represent a more complex business. Complexity Creates Friction That added complexity does not always show up immediately. It builds over time. Messaging starts to drift. Different parts of the business describe what they do in slightly different ways. The website no longer reflects how the company actually operates. Sales conversations evolve faster than the brand. At the same time, more activity is introduced to try to keep growth moving: New campaigns More content Additional platforms More tools and reporting The volume increases. The clarity does not always keep pace. That is when marketing starts to feel harder. It’s Not a Lack of Effort Most teams respond to this stage by doing more. More output More meetings More adjustments More experimentation That effort is not misplaced. It is often pointed in the wrong direction. When the underlying issue is a lack of alignment, more activity tends to create more noise. Results become harder to interpret. Decisions take longer. Progress feels inconsistent. From the outside, everything looks active. From the inside, it feels less certain. The Real Shift As businesses grow, marketing becomes less about execution and more about alignment. The companies that navigate this transition well tend to refocus on a few fundamentals: A clearly defined audience A strong, consistent position in the market Messaging that reflects how the business actually operates Alignment between leadership, marketing, and sales When those elements are in place, execution becomes more effective again. Marketing does not necessarily become easier, but it becomes more consistent. A Different Kind of Discipline Growth introduces more opportunity, but it also demands more discipline. What worked when the business was smaller often cannot be scaled without adjustment. The systems, messaging, and decision-making that once felt intuitive need to become more intentional. That is not a sign of failure. It is a normal part of growth. Marketing feels harder because the business has become more complex. The solution is not to outwork that complexity. It is to bring clarity to it. The companies that do that well tend to regain momentum quickly. Those who do not often stay busy without seeing the same level of progress. — Learn more about how we help organizations align strategy, brand, and execution. Visit tayloegray.com, or reach out directly at nathan@tayloegray.com.
Roundup: The Results From Our Xbox Games Showcase 2026 Predictions
They seemed like safe-ish bets, but we didn't do that well!
Amputated, one-eyed and unstoppable: how a lion stunned scientists with new hunting tricks - Futura-Sciences
A Lion’s Journey of Survival For years in Queen Elizabeth National Park, western Uganda, a gravely mutilated lion has managed to defy every prediction. Living with only three legs and a single eye, left almost entirely to his own devices, Jacob the lion somehow found a way to stay alive....
Interpretable AI in materials discovery: Uncovering how models make predictions
A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features from an AI model trained on atomic structural data and optical absorption spectra, and then groups materials with similar structural and spectral characteristics. This approach can be extended to reveal how atomic arrangements influence other material properties, paving the way for more efficient materials design.
New Steelers safety shares bold prediction for 2026 season
New Pittsburgh Steelers safety Jaquan Brisker has high hopes for the 2026 season, as he predicts the defense could become a top-three unit in the NFL.
MLB Predictions and Moneyline Picks for Saturday, June 13
MLB expert Phil Naessens offers a moneyline prediction for all 15 games on Saturday's massive card!
In Retrospect: Poland, Russia, Europe
In April I spent a few days with Zryw, a Polish non-profit organization that recruits young people to enter politics and public life. Their aim is to build a new generation of civic leaders in Poland. I’ve followed their evolution from the beginning; my son is one of the founders. (“Zryw” means “impulse” or “burst of speed” in Polish). Julie Chmielewska, one of Zryw’s leaders, interviewed me at the event. Here is the conversation, lightly edited for grammar and context: Julia Chmielewska: Assuming that culture shapes institutions, could we conclude that some cultures are more prone to authoritarianism? Anne Applebaum: I don’t think so. Every culture, every nation, and every country has the potential for change. When we look at history, we can see that nations do change. Poland has changed, for example, from the 1980s to today. There’s a completely different mentality here than the one I encountered when I first visited, in 1988. The current generation sees the world through a different frame. So no, I don’t believe that certain nations are doomed to authoritarianism, or to anything. Of course, there are political and cultural traditions, but they can always be challenged. JC: So do you think there’s something intrinsic in human nature that pushes people to democracy, freedom? AA: I think there is something in human nature, a deep instinct, that pushes people towards freedom, yes. People who live in authoritarian countries – and I’ve heard this from them over and over again – sooner or later find themselves angered by a feeling of helplessness. They can see the unfairness of crooked courts, irrational political decisions. They naturally dislike the fact that somebody has all the power while they have none. In those circumstances, people who have no political background at all sometimes are politicized just by that frustration. I’m thinking of Svetlana Tikhanovskaya, for example, who was a Belarusian housewife, until the circumstances of her husband’s arrest forced her to become a politician. I met a woman who is a Uyghur from China, and who had come to live in Turkey. After several of her family members were arrested, she too was propelled into a political role. These kinds of experiences make people interested in democracy or political reform, even if they thought they didn’t care. I also think that the opposite is true: some people instinctively prefer homogeneity, order, hierarchy. They don’t like the confrontation of opinions or the noise of debate, and they lean towards a single leader or a unified regime. I think that most of modern history is shaped by the clash between those two different sides of human nature. JC: Which force do you find more powerful today? AA: I think they both have a lot of power and there’s no way of predicting who wins. Even in countries that seem very shut off or stuck in an authoritarian system can change. We’ve seen that happen. And vice versa, I think democracies can also begin to fail and slide into authoritarianism. So it’s very important not to be complacent in either direction. JC: I want to go into your history and your experiences. You’ve lived in Russia during a time of incredible change in the late 80s, and then you came back to do research in post-Soviet Russia. AA: I was a student in Russia just before the collapse of the Soviet Union. I then traveled and worked there extensively in the 1990s, and I met people who really were full of hope. They hoped that Russia could become a democracy, or at least a place that guaranteed freedom of speech, freedom of the press. These weren’t ideas that came from Washington. Although now the narrative in the Kremlin is different, I met many people who were working towards exactly that kind of transformation. A friend of mine ran a series of seminars – once a year, and then later several times a year, in cities all over Russia – designed to get people to discuss politics in new ways. She invited young politicians and journalists, as well as foreigners. I went to many of them, in Moscow as well as Volgograd and Novosibirsk. Over two decades, hundreds of people came to these seminars, and all of them wanted Russia to be different. I remain convinced that many Russians still want Russia to be different. It’s just that the old system, in the form of Putin, a representative of that system, returned. The KGB reimposed their power. And this wasn’t because of something to do with culture, this was to do with money and politics, and who was in charge. JC: You’ve partially answered my question... I wanted to ask whether that excitement of the 1990s was an exception from the Russian historical norm which has been rather authoritarian? AA: Of course, if you look at the history of Russia since the 18th century, there have always been liberal groups, reformers and revolutionaries. There were the Decembrists, in the early 19th century, and the rural populists later on, who tried to organize the peasantry. A significant group of liberal Russians appeared at the turn of the 20th century, people like the father of the writer Vladimir Nabokov, who was a Russian politician before the revolution. These groups were small in number, but sometimes had a broader significance. The Russian dissident movement in the 1950s and 1960s actually invented the modern human rights movement. It was their idea to hold the leaders of the Soviet Union accountable for the language they used, to remind them of the treaties they had signed and the promised they had made. They created the Helsinki group, for example, that held Soviet leadership to the language of the Helsinki Treaty, which formally ended the Second World War and which contained guarantees of human rights, at least on paper. That idea spread to Eastern Europe, and similar tactics were used here in Poland. (Benjamin Nathans recently wrote a great book about the Soviet dissidents, To the Success of Our Hopeless Cause) JC: But seemingly, even if they do ever get power, they could never hold on to it. AA: We don’t know, because they have never really had power. But in any case, we also don’t know what will happen in the future. There is no reason to assume that Russia will forever be condemned to totalitarianism. Even during the first fifteen years of Putin’s regime there was some form of democratic politics. Only when the full-scale war began did he bring everything to an end: he shut down all remaining independent organizations and killed his most important opponent, Alexi Navalny. But does that mean he is popular, that he enjoys legitimacy? Even now, we don’t really know what Russians think about him, or about the war. There is no way of doing real polling in Russia because nobody will answer an independent pollster over the phone. JC: Do you think that the flock of young people, especially young men, who fled Russia after the start of the war represent a continuation of liberal movements that refuse to partake in the authoritarian state, or do you think they are moving for the sake of self-preservation – “I don’t want to go to the army, so I leave”? AA: I’m sure it’s both. I actually know many people who left Russia for political reasons either in the very last years before the war, or else just after the war began. JC: And do you see a change in the young generation versus the old one that have fled? AA: It’s hard for me to say because the people who I know were mostly already politicized. I do know some younger people who left, but most of them were already either active in the opposition, or working as journalists. Many of them very self-consciously think of themselves as maintaining Russian culture abroad, just as in the 20th century the Soviet dissidents or the anti-communist White Russians once thought of themselves as people who maintained the true Russian culture, outside of Bolshevik Russia. JC: Let’s move on to Poland. One of your first experiences with Poland was reporting on Margaret Thatcher’s first state visit, in the autumn of 1988. You followed her around the farmers’ market. AA: She was making a symbolic gesture. She wanted to welcome free markets, but the only one she could really visit was the farmers’ market at Hala Mirowska. JC: And I want to talk about this area because today you can look out of any window in that district, Mirów, and see rows and rows of skyscrapers. How does it feel to see a country built from the ground in such a short time, both politically and economically? AA: You know, when you’re living in a period of dramatic change, it’s always hard to know whether the change is positive or negative. The transformation in Poland created winners and losers, as well as new classes of people, new political movements of different kinds. At the time, it sometimes just felt like turbulence. Now, we can look back at the 1990s and early 2000s in Poland and see in retrospect that the country was headed in towards prosperity and European integration. In around 2009 or 2010, I remember speaking to a woman who worked cleaning government offices, and who asked me if her daughter should study in Amsterdam or in London. This seemed to me to be a real transformation, and it happened very fast: within a few years, Poles stopped feeling like second-class Europeans, and a generation of younger Poles appeared who had no qualms about crossing borders. JC: We again live in turbulent times. Do you think we’re heading towards positive outcomes? AA: I can’t make predictions, because everything that happens tomorrow depends on what people do today. Also, history doesn’t have a trajectory. It doesn’t move in a particular direction. You only think it does afterwards. As I said, you can look afterwards at Poland in the 1990s and you could say this was a period of great progress. But not everybody at the time saw that. Sometimes people are very wrong about a given country’s trajectory. I remember people writing about Ukraine in the 1990s, about how dangerous it was that Ukraine was independent, that this was going to be an anti-semitic state, that Ukrainian nationalism was going to come back... and although you can say many bad things about Ukraine, the country made many bad choices, actually it became a pretty tolerant state which now has a Jewish president and until recently a Muslim defense minister. JC: In the 1990s Poland’s and Ukraine’s GDP were roughly similar. Ukraine was even a bit richer. So the starting point was similar for both of these countries, but they’ve turned out very, very differently. Even if we stop in 2014. Why do you think Ukraine “chose East”? Was it external influence? AA: No, I think Ukraine was in a different position. First of all, central and eastern Ukraine had been part of the Soviet Union since the 1920s, and had therefore experienced a longer period of occupation, repression, Sovietization and even Russification. Ukraine did not have, as Poland did, an alternative elite: a large cadre of economists and politicians, who already had some experience in opposition politics and in independent thinking. In Poland, the transformative finance minister, Leszek Balcerowicz, had already thought about how an economy might be decentralized before he took office. We can argue about how successful he was, but at least he was prepared to try something new. In Ukraine, people weren’t prepared. For one, there hadn’t been much space even for an illegal opposition in the previous couple of decades. Ukraine was also in many ways still emerging from colonial occupation. For the previous couple of centuries, many of the most capable Ukrainians had moved to Russia, and the first generation of leaders in independent Ukraine tended to be former Soviet apparatchiks. They didn’t immediately seek to become closer to western Europe. Instead, they looked for some kind of economic and political “third way” and an accomodation with Russia. Ukraine became stuck in this position, half-in, half-out and became pretty profoundly corrupt. JC: The Polish alternative elite had a vision of where they wanted the country to go. I think the general perception now is that this vision ends with the next election, right? Is this a natural process of gaining power? AA: Their vision, and it was shared by the time by politicians who now call themselves both left and right, was that Poland should join the EU and NATO, as fast as possible. My husband (Radek Sikorski) was in the very first government that said it wanted to join NATO. At the time this was taken very badly in Washington: the demand for NATO membership absolutely came from Poland, not from the US. But even then, in the early 1990s, many Poles already understood that the Russian sphere of influence would grow once again, that it was important to become part of the transatlantic alliance and an integrated Europe as fast as possible: NATO, the EU, the Council of Europe, all of the trading and security alliances. That consensus lasted through several different governments and over many years, even governments containing former communists. For twenty years, right, left and center disagreed about many things, but they all agreed on the direction that the country should go. In retrospect, that consensus created the basis for prosperity in Poland. JC: And regarding the Polish-Ukrainian relations. We know that antagonisms, e.g. the myth of Wołyń [a massacre of Poles that took place in what is now Western Ukraine, in 1943] are increasingly used in Polish political discourse today. In Ukraine, nationalist historians make heroes out of UPA, the Ukrainian revolutionary army, which is held responsible for this tragedy. Where do you see a start for burying the hatchet? Is the reconciliation of our nations possible? AA: So here’s a strange thing: For more than a decade after they both gained independence, Poland and Ukraine participated in a number of projects that were designed to solve exactly these kinds of Polish-Ukrainian differences. Books were published that were jointly written by Polish and Ukrainian historians, monuments were built. These projects were successful: If you’d asked me this question in 2010, I would have said that there are no real historical issues between Poland and Ukraine, that the two countries had mostly reconciled. For a number of reasons, this began to shift. In Poland, children and grandchildren of victims of the Wołyń massacre felt their tragedy hadn’t been fully recognized. In Ukraine, nationalist groups wanted the UPA partisans who had fought against the Soviet Union recognized for their heroism, despite the fact that some in this broad and not well-defined group were also linked to Wołyń. In both eastern Poland and western Ukraine, the memory of the ethnic cleansing that took place there in the late 1940s - Poles were moved West, Ukrainians East - to accomodate new borders has left feelings of displacement and bitterness. The wave of Ukrainian immigration, which started before the war, may have provoked some of this. But don’t underestimate the role played by Russia, which has always wanted to create discord between Poland and Ukraine, and pumps out propaganda to that effect in both countries. Vandalism on both sides of the border, damage done to cemeteries and monuments, is sometimes carried out by provacateurs working for Russia, just to create bad feelings. The Polish-Ukrainian conflict also hides a different reality: although there are real grievances and bad memories, the truth is that the biggest tragedies both nations experienced in the twentieth century were inflicted by the Soviet Union and Nazi Germany. That should unite these two countries, not divide them. JC: This week (19.04.2026 – Ed.) in Hungary we saw that using historical narratives to create grievance has no longer worked. Are you optimistic about the direction after Orban’s loss? AA: The Hungarian election was really important because it shows that people can actually resist powerful, dominant propaganda. The ruling party Fidesz controlled all of the TV, 90% of the newspapers, the constitutional court, the bureaucracy... and yet people had the nerve to vote against it and resist it. It’s also an important election because Hungary created a huge network of well-funded think tanks and foundations that were funding other far right groups and projects. So that loss is going to have a knock-on effect in other places too, maybe even in Poland. JC: What you’ve said about resisting propaganda reminds me of one of the interviews you did about talking to Russians in the post-Soviet era who claimed that people knew that the system was lying. Why do people choose to believe in these regimes anyway? AA: Because it’s useful. Stephen Kotkin, an American historian, once described how people would learn how to “speak Bolshevik”: It was just a language that you needed to use in order to get by in society. If you didn’t talk the way the regime wanted you to talk, then you might have problems, or lose your job, or your kids would not get into university. It was a way of getting along. Communist Poland was similar, at least in the early years. When I was writing a book about the Sovietization of Eastern Europe after World War II, I met a lot of people who wanted to talk a lot about the war, when many of them had done really heroic things. But almost nobody wanted to talk about the decade afterwards, between 1945 and 1956. This was when you had the short period of terror, violence and Polish Stalinism. To stay safe, people felt the need to just go along with what others were saying, or stay out of politics, or use communist jargon without necessarily believing it. I don’t judge them for it, and I wouldn’t describe all of those people as collaborators. It’s easy to feel moral certainty in retrospect, because we know that communism ended. But if you were living in 1949, it might not have been clear to you that communism was going to end. In very repressive societies, maybe about 10% of people who are really evil – collaborators, torturers. Maybe 10% of people are really brave and who find ways to resist. And then around 80% of people have kids, they have parents, they have to have jobs and they’ve had to get through it somehow. Strange though it may sound, I’ve found that the work I did on that book is now very useful in explaining some of what’s going on in the United States today. There are plenty of members of the Republican Party in Congress who know perfectly well that Donald Trump says many things that aren’t true. But they avoid criticizing him because it’s inconvenient, because they would get in trouble, because someone would attack them on the internet. So actually you don’t even need mass terror to get people to conform. JC: Is Gen Z reinventing agency? AA: We’ll see. In any generation you can find groups of people who want agency. If you live in a society that’s unfair, for example where a tiny number of people have captured most of the wealth, then at a certain point people rebel. This is always easier for younger people, who have you have less to lose. The question now is how the internet will affect the relationships between citizens and the state, and how it will change organizations. The “Twitter revolutions” people spoke about as early as 2008-9, mass protests organized online, have often proved to be very superficial. Although you can easily join something just by clicking, the work of creating a real movement requires physical participation. Successful mass movements of the past, for example the Civil Rights movement in the United States, were built by people who had spent many years together. They had participated in non-violent workshops together. They practiced and prepared. Just using the you can get everybody to show up at a certain moment, but then when the protest is broken up, nothing happens. It’s also true that the repressive regimes have more recently learned how to use the internet to undermine leaders and movements. Most of all, they now understand how to make people cynical. The form of propaganda that most modern authoritarians use - and I think the Russians really pioneered this - deploys sneering cynicism. Instead of praising the rulers, the regime propagandists mock the opposition movement leadership for being supposedly corrupt or sexually degenerate, with the goal of undermining any kind of idealism. JC: MAGA grew on the internet? AA: MAGA is a real grassroots movement. They had symbols, red hats, they showed up at rallies. But you’re right that the cynicism, the sarcasm and the distrust that the movement embodies came originally from the internet, and this is different. Fifty years ago, most European political parties had a social base in real organizations, in trade unions for Social Democrats, in church groups for Christian Democrats. As people stopped going to church and as the trade unions became smaller, the social base of these parties disappeared. Now people who wouldn’t have known one another in the past meet on the internet and create new movements, many of which don’t last. JC: Is history ending? Going in stale circles? AA: History never ends. In truth, human beings want contradictory things at the same time: order and freedom, stability and change. These things are never resolved, and when a society swings too far in one direction, people always push it the other way. But each time that happens, the result is different. Certainly it is true that we are now in a period when old philosophers and ideas from the 1930s are undergoing a revival. Carl Schmitt, who was a philosopher who was very influential on the Nazis, is back as an influence on both the far left and the far right, once again inspiring people to think that all politics has to be existential, that all politics is about defining and defeating enemies. In the US, some are also bringing back dominionism, the idea that we need a Christian and not a secular state. It’s also true that we are living through a more fundamental shift. The old left-right divide, which was mostly about the size of the state, is much less important now. Instead, we are arguing about more fundamental things: what are our rights, what protects our freedom. Or how much power do we want to give small elites, versus how much power to give ordinary people. In America a small group of very wealthy people now control information, because they control the social media platforms and AI, which means they determine what people will read and learn. Finding a way to preserve preserve zones of autonomy and independent thinking, this is going to be the main task for the next generation. JC: What is the one book that a person interested in Central Europe should read? AA: You could read my book “Iron Curtain: the Crushing of Eastern Europe” which tells the story of how the Soviet Union imposed its culture on the region. Or read Tim Snyder’s history of the region, “The Reconstruction of Nations: Poland, Ukraine, Lithuania, Belarus 1569-1999.” And everyone should read “The Captive Mind” by Czesław Miłosz, which describes exactly the phenomenon we were talking about: why do people collaborate? I joined Scott Galloway and the brilliant Fiona Hill in a discussion about the wars in Ukraine and Iran, the future of global power, and what these conflicts reveal about America's role in the world. Scott told us that this was the 400th edition of his podcast, which is quite a number: My friend Francesco Chiamulera runs a brilliant series of literary events, Una Colline di Libri, A Hill of Books, in the Prosecco Hills, a region of vineyards and elegant hill towns in the Veneto, north of Venice. We did an event in Vittorio Veneto and also drove and biked around the countryside. Buy Autocracy Inc Buy Iron Curtain Open Letters, from Anne Applebaum is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
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The World Cup 2026 is on home soil, the squad is named, and the nation is watching — but can the United States turn home advantage into a genuine deep run, and are the outright odds worth a punt?…...
WHO urges targeted action to strengthen emergency workforce capacities for shared health risks across the Asia-Pacific region
At a time when the world is more interconnected than ever, the World Health Organization (WHO) is disseminating a comprehensive regional analysis of shared health risks across Asia and the Pacific, urging Member States to invest in enhancing workforce capacities regionwide to mitigate these risks and ensure health systems are better prepared to anticipate, tackle and withstand a range of crises and shocks. Over 100 delegates from 49 countries and areas in the Asia-Pacific region reviewed results from the regional risk analysis during the WHO-led Asia Pacific Health Security Action Framework (APHSAF) Stakeholders Meeting in Malaysia. Synthesizing insights from 21 strategic risk assessments and more than 800 multisectoral experts, the regional analysis highlighted an urgent imperative: countries must proactively invest in emergency workforce preparedness to navigate a landscape where climate hazards, disease outbreaks and geophysical events increasingly overlap. These complex converging crises create devastating, compounding impacts on health systems and communities – reiterating the need for investing in a fit-for-purpose regional health workforce and multisectoral action.Key findings: an evolving risk landscape More than half of the participating countries ranked flooding, cyclones, dengue and pandemic-potential respiratory pathogens as being of high or very high risk, while antimicrobial resistance, landslides and gastroenteritis remain widespread concerns as well. “Given that 51% – over half – of these assessed hazards are deeply interconnected, isolated health interventions are no longer sufficient,” said Dr Saia Ma’u Piukala, WHO Regional Director for the Western Pacific. “Extreme weather events like cyclones and floods directly trigger subsequent disease outbreaks, while environmental degradation – driven by sea-level rise, coastal erosion and saltwater intrusion – fuels health risks across the Pacific. Mitigating these cascading risks requires unified, cross-sectoral action linking environmental, agricultural and public health policies to build true regional resilience.” Priority recommendations for action To address critical vulnerabilities, WHO calls on Member States in the Asia-Pacific region to urgently prioritize the following strategic actions: Bridge workforce capacity gaps. Embed and standardize emergency preparedness within academia to promote regional workforce interoperability. Foster multisectoral coordination. Address ad-hoc taskforce responses and fragmented surge support through formalized contingency plans and standard operating procedures that are frequently updated and tested. Secure sustainable financing for emergencies. Overcome systemic barriers to access dedicated funding for both immediate anticipatory actions and long-term emergency preparedness initiatives. Enable emergency-ready primary health care. Embed emergency management into public health workforce readiness planning. Ensure that emergency planning is inclusive. Establish clear pathways for inclusive emergency planning that actively involves communities most at risk and other vulnerable groups. Optimize communication. Update risk communication and community engagement strategies, aligning them with seasonal risk calendars. Elevating workforce readiness to meet regional health risks While the gaps identified are significant, the Asia-Pacific region possesses solid foundational pillars, including dedicated clinicians, laboratory staff, rapid response teams, emergency medical teams and extensive community networks. However, to adequately address the compounding nature of modern crises, the various components of the emergency workforce must collaborate cohesively. True resilience depends entirely on transforming this currently fragmented workforce into a highly trained, interconnected and rapidly deployable asset. To achieve this, WHO is actively advancing regional workforce capacities through the Global Health Emergency Corps initiative. This initiative – supported by the Gates Foundation and the Institute of Philanthropy – seeks to build a seamless network of emergency workforce across borders and sectors, ensuring that when a crisis strikes, a standardized, well-coordinated and trained workforce is immediately ready to respond. “Scaling up emergency workforce readiness is no longer optional,” said Dr Gina Samaan, Regional Emergency Director for WHO in the Western Pacific. “It is the definitive factor that will determine how effectively the Asia-Pacific region safeguards health and protects lives in an increasingly unpredictable future.” ____________________For more information, or to arrange media interviews, contact: Ara Johannes, WHO Western Pacific Health Emergencies Division: johannesa@who.int WHO Western Pacific Communications: wprocom@who.int
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