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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.
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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.
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Why do so many of us look back fondly at ’90s college football? Perhaps because the ’90s were the best time to watch college football on TV.
Hot weather can make these 9 health conditions worse
Sweltering days can trigger flare-ups or, in some cases, even more severe complications.
Steam Machine Companion Cube now up for pre order, arrives next month with matching Steam Controller skin
First teased soon after Valve announced the Steam Machine, dbrand's Companion Cube case is now available to pre-order from $99.95.
Virginia health officials urge measles protection amid rising cases
Virginia health officials are urging residents to make sure they are protected against measles as cases continue to rise, with 129 cases reported so far and 95% of those infected being unvaccinated…
Ebola Cases Top 1,000 in Congo as Virus Infects Frontline Health Workers
Ebola cases have surpassed 1,000 in the Democratic Republic of the Congo, where health workers are becoming infected before anyone realizes they’re treating the deadly virus, exposing a dangerous weakness in efforts to contain one of the world’s fastest-growing outbreaks.
New York's congressional candidates make final case in last day before primary
New York’s congressional candidates will deliver closing arguments ahead of primary elections Tuesday, as an ascendent progressive left takes on establishment Democrats.
New York's congressional candidates make final case in last day before primary
New York’s congressional candidates will deliver closing arguments ahead of primary elections Tuesday, as an ascendent progressive left takes on establishment Democrats.
Why the Vikings should pursue Brendan Sorsby in supplemental draft
Here's the case for the Minnesota Vikings taking Brendan Sorsby in the supplemental draft.
When A Favicon Becomes The Entire Website
Putting hidden data in places where few expect it can be a fun hobby or even a professional career. In the case of [Tim Wehrle] it’s just the former. His most recent project in this area uses…
Inside California Politics: Ben Allen makes his insurance commissioner case
(Inside California Politics) — The race for insurance commissioner doesn’t often get a lot of attention. But this year, amid an insurance crisis, the November general election will pit two De…
Google's Gemini Partially Figures Out A Lengthy Linux Boot Time On Modern ASUS Laptop
Google Antigravity with the Gemini 3.5 Flash model helped a Linux user sort out a situation where his laptop was taking around 36 seconds to boot the kernel, which shouldn't be the case for the high-end laptop with AMD Ryzen 9 processor and 32GB of RAM
For Father's Day, support mental health for dads before crisis hits
A tragic case highlights the urgent need to support fathers' mental health and break the stigma of silence.
Germany could scrap law banning insults against politicians
Germany's special law prohibiting the insulting of politicians has led to cases that many people consider absurd. Some members of the government want to abolish the law; others think there's a good reason to retain it.
Supreme Court faces new wave of cases over state election laws
The Supreme Court is considering new appeals regarding voting laws in Arkansas, Texas, Arizona and Pennsylvania.
6-woman team celebrates opening of expanded Tazewell County business
A design shop opened an expanded storefront in Morton on Saturday, hosting an open house to showcase the new space and its six-woman team.
Measles case confirmed in Maryland resident who passed through Dulles and DC clinic
A confirmed measles case has been found in a Maryland resident who traveled through Dulles Airport and went to an urgent care office in the District.
Maryland resident with measles traveled through Dulles, DC clinic
Maryland and DC health officials are investigating a measles case tied to international travel and warning of possible exposures at Dulles and a DC clinic.
Measles case reported at Dulles Airport, Adams Morgan clinic
A measles case has been reported in a Maryland resident who traveled internationally, the Maryland Department of Health said on Saturday.
Dem who sued to remove Trump's name from Kennedy Center now says venue becoming 'lifeless husk' in fresh fight
The plaintiff in the case, Democratic Rep. Joyce Beatty, said that by refusing to take steps to resume shows, the Kennedy Center is in violation of a previous court order.
Kid-run businesses will take center stage at the Acton Norman Children’s Business Fair
For one day only, kid-run businesses will take center stage at the Acton Norman Children’s Business Fair, allowing young entrepreneurs to showcase their creativity, products, and business skills.
What Democrats want: New York congressional race showcases fight over party’s future
In NY-12, four Democrats, including one Kennedy, are vying to replace Jerry Nadler – and potentially shake things up
Health Ministry investigates suspected Ebola case after traveler develops symptoms
Israel’s Health Ministry is investigating a suspected Ebola case after a traveler returning from the Democratic Republic of Congo developed fever and headache.
Measles-infected traveler may have exposed passengers at LAX and nearby hotel, health officials warn
A measles-infected traveler may have exposed passengers at LAX and a nearby Hilton hotel on June 11, marking the sixth case in LA County this year.
AMC Entertainment (AMC) Is Up 24.1% After Record May Attendance And $150 Million Equity Sale - Has The Bull Case Changed?
Earlier in June 2026, AMC Entertainment Holdings completed a US$150,000,000 at-the-market equity offering, issuing roughly 105,300,000 new common shares across multiple tranches priced between about US$1.03 and US$1.50. This fundraising comes as AMC reports record May attendance of 25.5 million guests, its strongest May since 2019, highlighting a recovering box office alongside continued reliance on equity issuance to support its balance sheet. Next, we’ll examine how record May attendance...
Key OL target explains what makes Florida State stand out
Florida State was able to get three-star offensive lineman DaJohn Yarborough on campus last weekend, and they helped there case immensely.
Poison centers link growing Benadryl abuse among teens to dangerous social media trends
America's Poison Centers reports a concerning 31.9% rise in diphenhydramine abuse among teens, with cases reportedly more than doubling in 2026.
Discover Oshkosh showcases arts, entertainment and Lake Winnebago activities
(WFRV)- From music festivals to the world’s greatest aviation celebration, there are so many reasons to visit this area of Wisconsin. In this segment, Amy Albright and Anna Murphy-Pociask fro…
OSDH: Health alert issued as Oklahoma sees 129 cases of C. auris
Health officials are warning Oklahomans about the danger of a type of yeast that can lead to life-threatening infections for those with underlying medical condi
The Case Against Science
In debates of vaccination, evolution, and climate change, the case follows a very similar playbook: to undermine trust in established scientific understanding all one needs to do is create doubt.
A brain-computer interface has, for the first time, restored fluent everyday speech to a person who had lost it — a man with ALS who had not spoken aloud in years until a small implant from the BrainGate clinical trial began translating his attempts to speak directly into computer-synthesised words, in a result researchers reported in June 2026
Casey Harrell can now talk for twelve hours at a stretch. Two years ago, he could not talk at all. The ALS he was diagnosed with several years earlier had progressively destroyed the motor neurons controlling the muscles of his face and throat, leaving him with the symptoms doctors call dysarthria and, eventually, anarthria — […]
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years | TALK 980am
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
PHNOM PENH, Cambodia (AP) — Cambodia’s Supreme Court on Friday upheld the incitement conviction of a prominent opposition politician while suspending the remainder of his sentence, keeping hi…
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years | WBBM Newsradio 780 AM & 105.9 FM
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years | Newsradio 1140 WRVA
Cambodian Supreme Court upholds incitement of opposition politician in politically charged case
PHNOM PENH, Cambodia (AP) — Cambodia's Supreme Court on Friday upheld the incitement conviction of a prominent opposition politician while suspending the remainder of his sentence, keeping him out of prison but unable to practice politics for years.
Cambodian Supreme Court upholds incitement conviction of opposition politician in charged case
Cambodia’s Supreme Court has upheld the incitement conviction of prominent opposition politician Rong Chhun but suspended the remainder of his prison sentence, allowing him to remain free while barring him from politics for years
Unique drill shows Brian Daboll's creative approach with Titans
A video from Titans practice showcased Brian Daboll's creative drill designed to improve the Titans' offensive playmaker's awareness.
Persona 4 Revival Gameplay Showcase Covers Combat Changes, New Content, and More
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