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A Promising Heart Drug Fails, Challenging a Long-Held Theory of Disease
The drug targeted inflammation, and its shocking failure has experts questioning whether inflammation really does cause heart disease.
Sony’s new PS5 Pro beta update automatically enables PSSR 2.0 for every game
Sony’s latest PS5 system software beta enables PSSR 2.0 by default across all PS5 Pro games, promising sharper visuals and fewer frame-rate drops without requiring manual setup.
Chiefs HC Andy Reid comments on promising second-year prospect
During his press conference, Kansas City Chiefs head coach Andy Reid commented on promising second-year prospect Jake Briningstool | @EdEastonJr
Sanofi suspends chronic lung disease phase 2 study, tied to ‘strategic business reasons’
Sanofi halted a phase 2 trial testing a monoclonal antibody, SAR445399, in non-cystic fibrosis bronchiectasis, Fierce Biotech has learned. The trial, which began only back in April, was a randomized, double-blind, placebo-controlled study to measure the reduction in mucus plug score following treatment with SAR445399 compared with placebo in adults aged 18 to 80 years with NCFB, a chronic lung disease. The trial was officially reported as halted on July 29, the day before Sanofi’s second-quarter earnings call. The decision to pause the trial was made “as part of a company-wide portfolio review for strategic business reasons,” and not due to safety concerns, a Sanofi spokesperson told Fierce. The move to pause the NCFB trial comes during a trying time for Sanofi following a year filled with a series of trial fails. In February, the French pharma ousted CEO Paul Hudson and appointed Merck KGaA leader Belén Garijo, M.D., Ph.D., to steer the ship. Since then, Garijo has been doing a deep dive on correcting the company’s strewn R&D and clinical strategies. On July 24, Sanofi scrapped amlitelimab for atopic dermatitis, despite its lore as being a potential $5 billion blockbuster. During its second-quarter report, the company abandoned two more assets, balinatunfib and itepekimab, following failed trial results in psoriasis and chronic obstructive pulmonary disease, respectively. SAR445399, only first revealed by Sanofi in 2023, is an anti-interleukin-1 receptor 3 monoclonal antibody developed to block the interleukin 1, 33, and 36 cytokine pathways. These pathways can be important in chronic immune-related dermatologic diseases, such as atopic dermatitis and hidradenitis suppurativa, as well as respiratory conditions, such as NCFB. Related Sanofi’s new CEO ‘looking deeply’ at late-stage pipeline as clinical clearout continues NCFB affects roughly half a million people in the U.S., with a global incidence of greater than one million cases. In August 2025, Insmed received FDA approval for Brinsupri, a DPP1 inhibitor targeting neutrophil activation, for treatment of NCFB in adults and kids ages 12 and older. The British biotech Infex Therapeutics showed promising NCFB phase 2a data using their monoclonal antibody, INFEX702, which acts by disabling Pseudomonas aeruginosa, a bacteria known to be a major pathogen of NCFB. Sanofi is currently running a separate phase 2 study testing SAR445399 as a potential treatment for the inflammatory skin condition hidradenitis suppurativa.
AI finds previously undetected health risks during sleep studies
We also report on another promising experimental non-opioid pain drug for use following surgery.
The Beauty Of Settled Science
Commenters convinced me I made a subtle mis-step in my framing of Psychology Research Is Mostly Fine. My framing emphasized that social priming studies had failed to replicate, but that many other subfields of psychology hadn’t. This naturally led commenters to point to failed replications in other subfields. Although none of these were as bad as social priming, few or none were entirely problem-free. Instead of emphasizing the difference between social priming and other subfields, I should have emphasized the difference between settled science and novel research. Here are some of my favorite psychology findings: The brain is sculpted by reinforcement learning, and a key driver of this learning is a prediction-error-based algorithm located in the nucleus accumbens and implemented through dopamine. Psychedelic drugs exert their effects through 5-HT2A receptors, pointing to a role for these receptors in some sort of construct like the balance between priors and new evidence. Certain cognitive functions are localized to certain brain areas (for example, impulse control to the frontal lobes; linguistic structure to Broca’s area, linguistic meaning to Wernicke’s area. But injure one of these areas, or render a certain function useless (eg a blind person having no more use for their visual cortex), and these mappings can gradually shift - suggesting that neurons are general-purpose compute whose specialization is a contingent fact about convenience and efficiency rather than a necessity. Most personality traits and general capabilities are about 50% genetic and 50% random, with little role for family environment or childhood history, with a few notable exceptions like partisan preference. Recent research complicates this story, but the further you go from this basic picture, the gnarlier the chains of indirect causation you require. Neurons fire together in “brain waves”, whose exact frequency corresponds with the character of consciousness; These divide neurons into natural subpopulations and linked graphs. The gamma rhythm corresponds surprisingly well to items in conscious awareness. GABA receptors seem to be involved in something like relaxation. By hitting different GABA receptors in different ways, you can modulate the exact type of relaxation you produce. Hitting GABA-A directly is too powerful and can cause dangerous levels of sedation, but allosteric modulation of GABA is an incredibly fruitful strategy that underlies drugs from benzos to barbituates to alcohol. If you know your GABA-A subunits, you can target specific subtypes of relaxation; for example, Ambien hits GABA-A1 and induces sleep. Memory divides somewhat fuzzily into bins of immediate-sensory, short-term, and long-term, with separate retrieval and storage functions, and separate systems for declarative vs. procedural learning. These can be harmed selectively, usually by hippocampal injury, so that some patients can remember their life stories but not form new long-term memories, or learn new skills like bike-riding but not new facts. The exact substrate of memory is unclear but seems to involve new synaptic connections between neurons in at least some way. The ability of modern psychology and psychiatry to treat mental illness is real but limited. SSRIs work for half or slightly fewer than half of patients; antipsychotics work with extreme side effects; benzodiazpines work but produce addiction and tolerance in many (not all) people. Most supplements are stuck in Poor Quality Study Replication Crisis Hell, but melatonin and l-theanine stand out as especially promising. Psychotherapy works with moderate effect size, but (with a few exceptions) seems to be more about the relationship with the provider than the details of the therapy itself. Mental hospitalization can sometimes defuse immediate crises but work less well than mental hospitals would like, with some studies showing overall negative effects. Schizophrenia is mostly genetic, but risk also increases with prenatal infection (especially rubella) and obstetric complications; there is suggestive evidence for roles of social stress and drug use (with psychedelics and marijuana making things worse, and nicotine if anything making things better). Bipolar and schizophrenia are so closely linked on a pathophysiological level that it seems like they might be the same disease; on the clinical level, they do seem to follow two separate courses/prognoses but can sometimes surprise clinicians by eg someone who seemed condemned to permanent schizophrenia unexpectedly recovering. The brain’s native reinforcement learning algorithms cash out in the phenomena of classical and operant conditioning; different reinforcement schedules reinforce at different levels, which can be exploited by bad actors to make especially compelling products (eg slot machines). None of these are immune to doubt. A few are speculative; one or two are genuinely unorthodox. But they’re all a step above one p = 0.049 paper that might not replicate. If they get overturned, they’ll be overturned by the same sort of genuine scientific shift that replaced Ptolemy with Copernicus or Lamarck with Darwin, not some sort of sordid discovery about someone entering random numbers into a spreadsheet. In 2008, Eliezer Yudkowsky wrote about The Beauty Of Settled Science: If you only care about scientific issues that are controversial, you will end up with a head stuffed full of garbage. The media thinks that only the cutting edge of science is worth reporting on. How often do you see headlines like “General Relativity still governing planetary orbits” or “Phlogiston theory remains false”? So, by the time anything is solid science, it is no longer a breaking headline. “Newsworthy” science is often based on the thinnest of evidence and wrong half the time—if it were not on the uttermost fringes of the scientific frontier, it would not be breaking news. Scientific controversies are problems so difficult that even people who’ve spent years mastering the field can still fool themselves. That’s what makes for the heated arguments that attract all the media attention. Worse, if you aren’t in the field and part of the game, controversies aren’t even fun. Don’t be embarrassed to read elementary science textbooks, either. If you want to pretend to be sophisticated, go find a play to sneer at. If you just want to have fun, remember that simplicity is at the core of scientific beauty [...] A steady diet of science news is bad for you: You are what you eat, and if you eat only science reporting on fluid situations, without a solid textbook now and then, your brain will turn to liquid. Psychology isn’t centrally the new paper in Annals Of Recently-Breaking News saying that an n=5 study showing that large portion sizes increase support for terrorism. Psychology is centrally ideas like brain waves, GABA receptors, reinforcement learning, twin studies, and connectionism. People who think differently are worrying too much about BREAKING NEWS!!!, and should stop. The key distinction isn’t “recent research in social psychology” vs. “recent research in cognitive/bio/behavioral psychology”, as my essay last week unfortunately implied. It’s recent research in general vs. the deposit of settled science, battle-tested hypotheses, and carefully-earmarked speculation. And part of the reason social priming in particular was such a disaster was that it defied that heuristic, building itself up over hundreds of studies until it approached or even entered the pantheon of settled science - before collapsing (5-HTTLPR was also sort of like this). This isn’t a claim that settled science is always right - Freud was “settled science” for a long time - just that there’s an intuitive distinction between the level of credence you should have in the existence of power posing vs. the existence of Broca’s Area. (I compounded this error by calling the last post “Psychology Research Is Mostly Fine”, which suggested I was talking about the new research rather than the settled science. I actually meant to distinguish between research-psychology-the-field vs. clinical-psychology-aka-therapy, but this framing unintentionally pushed against the point I wanted to make) Some commenters on the previous article understood this point, but challenged its weight. It’s very cool, they said, to know how many neurons are in which brain lobe, but the main way that Psychology affected their lives was through bad clickbait studies used to buttress dumb policies; some p = 0.049 study says that exposure to microaggressions makes minorities’ brains shrivel into raisins, and now their company has to implement punitive DEI or be sued for hazardous work conditions. I won’t dispute this as an accurate description of how the sausage gets made, but it’s worth examining the trains of thought that connect this observation to a campaign against psychology in general: The dumb woke psychology was wrong and bad, and I don’t have good heuristics for distinguishing dumb woke psychology from other psychology, so I’m going to assume it’s all wrong and bad. The dumb woke psychology was wrong and bad; it seems useful to punish/discredit psychology as a whole to assist my campaign against it, so for propaganda purposes I will try to discredit psychology as a whole. To people in the first camp, my response is: come on, your heuristics aren’t that bad. “Microaggressions makes minorities’ brains shrivel up like raisins” is in the woke category; “the hippocampal theta rhythm seems to be associated with both memory and pathfinding, suggesting an unexpected yet surprisingly compelling relationship between the two” is in the not-woke category, don’t play dumb here. To people in the second camp, my response is: deliberately exaggerated propaganda campaigns are bad and this is a confession, not an excuse. Inability to view science through anything but a political lens was what got us into this problem; doubling down on it is a temporary solution but a recipe for permanent disaster. If you pronounce entire fields of science to be acceptable collateral damage in your campaign against bad political actors, you will alienate not just scientists but patients, clinicians, and general lovers of truth. Instead, you can say the thing you mean - that woke partisans shouldn’t try to occupy and exploit the otherwise-noble science of psychology for their own political gain - and wage the same campaign with a halo rather than a comic-book-villain goatee. From the font of oracular wisdom that is Weird Sun Twitter: [ Vessel Of Spirit@VesselOfSpirit i love you all conditionally but i love the good part of you unconditionally. even if it becomes a very small part 2:11 AM · Jan 22, 2015 1 Reply · 5 Reposts · 29 Likes ](https://x.com/VesselOfSpirit/status/558084551772471298) This is how I feel about psychology1, too, but with a touch more optimism. The good part of psychology is enormous, a hoard of endless treasures. You just have to look past the headlines! 1 To play devil’s advocate - should one always be so magnamious? Astrology? Phrenology? These seem different in that their entire orientation was flawed from the start; they didn’t simply fail to find the correct constellation-personality connections, the whole project of searching for connections between constellations and personality was doomed from the start. More difficult might be asking the same question about education research, which is notoriously bad. I don’t know enough about education research to know if there’s some settled science of correct and enlightening results lurking in the background beyond the day-to-day froth of poorly-conducted and politically-motivated studies. I think if it’s 90% bad, 10% good, it’s correct to call it bad as a compact way of communicating a useful truth; I think psychology is better than that, but admit it’s a tough judgment call.
Hotel Wi-Fi phishing attack targets Microsoft logins
Hackers are compromising hotel Wi-Fi gateways to redirect business travelers to fake Microsoft 365 login pages that can bypass multifactor authentication.
Promising Patriots rookie sees night and day difference in abilities
Patriots rookie tight end Eli Raridon believes the NFL game is already starting to slow down for him.
Satya Nadella confirms major quality update for Windows 11 with focus on fundamentals
Satya Nadella confirms Microsoft is investing in Windows 11's quality and fundamentals, promising more fixes after a rough 2025 for the OS.
Snap Will Show Off Its AR Specs At A September 16 Event
The company is promising the first in-depth look at the $2,195 glasses.
Hims & Hers sued over sending users health info to social media platforms
Digital telehealth platform Hims & Hers is facing a civil lawsuit over accusations of sending users’ health information to online advertisers after promising privacy.
Merck, Wellcome partner with global health group to make Ebola vaccine for clinical trials
Hilleman Laboratories, a Singapore-based joint venture between Merck and the global charity Wellcome, is gearing up to manufacture doses of a promising experimental vaccine against the rare Bundibugyo strain of Ebola responsible for a fast-spreading outbreak in the Democratic Republic of Congo.
Merck, Wellcome partner with global health group to make Ebola vaccine for clinical trials
CHICAGO, July 30 (Reuters) - Hilleman Laboratories, a Singapore-based joint venture between Merck and the global charity Wellcome, is gearing up to manufacture doses of a promising experimental vaccin...
US FTC suing Hims & Hers for sending user health info to Meta, Snap
The U.S. Federal Trade Commission is suing Hims & Hers alleging the telehealth platform shared users' health data with online advertisers despite promising privacy and engaged in deceptive billing and cancellation practices, an FTC spokesperson said.
UConn Health Minute: Hypothyroid Study
A UConn Health clinical trial is exploring a promising new treatment option for people with hypothyroidism. Learn how the study aims to improve symptoms and ...
The Science Behind the AI Panic Is Shakier Than You Think
A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment
Cardinals’ Demote Promising Starter, Recall Veteran Reliever Before Cubs Game
The St. Louis Cardinals are demoting right-handed pitcher Hunter Dobbins to Triple-A Memphis. In a corresponding move, the team has selected the contract of Peter Strzlecki. Dobbins, 26, was acquired from the Boston Red Sox this past offseason. As it stands, he has a 3.74 ERA through his first 33.2 innings for the Cardinals. This season, Dobbins […] The post Cardinals’ Demote Promising Starter, Recall Veteran Reliever Before Cubs Game appeared first on HEAVY.
FBI Oakland bribery case: Defendant took secret, compromising videos of politicians, records show
The government says defendant Andy Duong, own of the owners of California Waste Solutions, took secret photos and videos of politicians in compromising positions.
National Survey on Drug Use and Health shows promising trends for youth mental health and drug use
A key U.S. government report on mental health, substance use and addiction shows continued improvements in several metrics, especially among young people
Federal survey shows promising trends for youth mental health and drug use
A key U.S. government report on mental health, substance use and addiction shows continued improvements in several metrics, especially among young people.
Federal survey shows promising trends for youth mental health and drug use
A key U.S. government report on mental health, substance use and addiction shows continued improvements in several metrics, especially among young people
Federal survey shows promising trends for youth mental health and drug use
A key U.S. government report on mental health, substance use and addiction shows continued improvements in several metrics, especially among young people
Diamondbacks 3, Washington 5: Not Ready for Prime Time
Mitch Bratt is a promising prospect, but once more he shows he’s not quite ready for major league competition….
A hidden Alzheimer’s tipping point may decide who gets dementia
Scientists have identified a possible tipping point that helps determine whether Alzheimer’s-related brain changes lead to dementia. The key may lie in how the brain’s immune cells respond to plaques and tau, offering a promising new target for treatments designed to extend cognitive resilience.
Bucks Executive Has Promising Update for Tyler Herro, Jaime Jaquez Jr.’s Futures
The Bucks are interested in extending two of their newest stars.
Andy Burnham and the rise of ‘aura farming’ in politics
Is “aura farming” the new political superpower? There are some days in TV news when you find yourself standing in the middle of a farm, surrounded by baby goats, trying to explain internet slang. Subscribe This was one of those days. There I was, in wellies, trying to unpack aura farming - a Gen Z term for carefully cultivating your image online so that you look effortlessly cool, authentic and charismatic. The trick, apparently, is that it can’t look like you’re trying too hard. Which, I’ll admit, felt slightly ironic as we filmed an entire report on a farm purely because the word farming is in the title. ‘Shaped by algorithms’ Whether you like it or not, politics increasingly feels like it’s being shaped by algorithms as much as manifestos. Take Andy Burnham. Since arriving at Number 10, he’s been impossible to miss online. One minute he’s out for a casual jog with Mo Farah. Next he’s announcing policy alongside TikTok high priestess Bus Aunty. His social media paints a very deliberate picture: less polished Westminster operator, more bloke from the North who just happens to be running the country. It’s not accidental. Burnham’s “King of the North”, New Order-loving persona has become part of a carefully constructed political brand. Authenticity is now something politicians work incredibly hard to make look effortless. But Burnham isn’t inventing this playbook. Like so many of us doomscrolling on an evening, he’s been influenced online. The digital strategy of New York Mayor Zohran Mamdani, pictured above right, has become a case study in viral political communication, and some of the people behind that campaign have recently been advising the Labour Party in Britain. Their message is simple: if you want to reach younger voters, you need to show up where they already spend their time. Embracing content creators And increasingly, that doesn’t mean traditional news interviews (awkward). It means speaking to content creators like Max from The Career Ladder, whose channels reach around 20 million followers worldwide. His interview with Burnham, pictured below, was posted almost immediately after he became Prime Minister. What struck me wasn’t just the audience size, but something Max told me afterwards: many people in the comments said they’d discovered Britain had a new Prime Minister through his interview. Think about that for a moment. Not through rolling news. Not through newspapers. Through a creator they were already following while scrolling. Share That’s a profound shift in how political information reaches people, one that’s been gathering momentum for some time. It also explains why politicians are embracing content creators and spending millions on digital marketing. Of course, this isn’t unique to one party. ‘Personality before policy’ In many ways, the right were quicker off the mark in building their aura online. Donald Trump built much of his political identity on social media. Nigel Farage remains one of Britain’s strongest political performers on TikTok. Politicians across the spectrum now understand that personality often reaches people before policy does. During a six-week UK general election campaign alone, overall digital ad spending routinely tops £11m. Share Channel 4 News Former Number 10 social media adviser Andrew Wong put it well when he told me that “vibes” can help someone get noticed, but they only work if they’re rooted in a genuine personality. Force it, and audiences spot it instantly. The bigger question is whether internet charisma can backfire on you - especially when you’re Prime Minister. Because behind Burnham’s carefully curated videos is a veteran politician with decades of Westminster experience. The spontaneity is produced. While the authenticity may be genuine, it’s managed. That’s not necessarily a criticism. It’s simply the reality of modern political communication. Aura farming alone is not enough to harvest change. But in the age of algorithms, winning attention may be the first battle. Subscribe Share Channel 4 News Leave a comment
From A Useful Ghost to Self Esteem: your complete entertainment guide to the week ahead
A woman is reincarnated as a vacuum cleaner in this Cannes prize-winning black comedy, and the uncompromising pop star hits the festival trail
AI Lab Midjourney Eyes Suite of Apps After Buying Astrology Startup Co-Star
Artificial intelligence lab Midjourney Inc. has bought the popular astrology app Co-Star and is building its first standalone image-generation app, the startup’s latest moves to push into new business areas after promising an ambitious expansion last month.
Secret Service agent on JD Vance's detail investigated for allegedly leaking operational security info
A Secret Service agent on JD Vance's protective division faces an administrative and potential criminal inquiry over compromising operational security.
Geekbench 7 is out with overhauled performance tests for CPU and GPU workloads
Geekbench 7 today, promising benchmarks that more closely reflect how people use their devices across everyday tasks, gaming, and AI workloads.
2027 NFL Draft Rankings: Quarterback
Arch Manning and Dante Moore headline what should be a talented and promising quarterback class in the 2027 NFL Draft.
Sports and politics: No longer strange bedfellows
Sports has always billed itself as above petty indifferences, something that brings people together on the sanctity of the playing field. FIFA, the guardian of the soccer World Cup pledges to ensure accessibility to everyone, promising that each athlete will receive a reception that is “safe, welc...
Davenport University launches business degrees that save students time and money
This story is one in a series about Davenport saving students time and money Davenport University is introducing two innovative business degree pathways this fall that give students more affordable and flexible options for earning a college degree in less time without compromising academic quality. The new programs reflect Davenport's ongoing commitment to improving access to higher
Live: Andy Burnham set to take over as Britain's prime minister, vows stable politics
Andy Burnham becomes Britain's seventh prime minister in a decade, promising to "rewire" the nation to focus more clearly on issues people care about.
Delivering Access
There was once a time when you healthcare without mentioning Honeybee Health Inc. In 2019, CNBC listed it as one of the 100 most promising startups. In
Xbox Says More Exclusives Are Coming But Tells Players Not to 'Overly Fixate on Single-Player' Games
Executives at Xbox have once again attempted to clarify the company's approach to exclusives, promising that "Gears of War: E-Day and Clockwork Revolution are not the only titles" it's planning.
Scientists found two powerful new ways to destroy forever chemicals
Scientists are testing two promising ways to destroy PFAS, the stubborn “forever chemicals” that can accumulate in water and resist normal treatment. One method uses collapsing vapor bubbles to generate extreme heat and reactive molecules, while the other uses cold plasma and rising gas bubbles to pull PFAS to the surface and break them apart.
Mavs Block Knicks, Match Offer To Keep Promising Young Center
Dallas secured frontcourt depth by matching a $4.7 million offer sheet for Moussa Cissé, preventing the New York Knicks from poaching the defensive specialist after his standout rookie season.
Klay Thompson Gives Promising Update On Warriors Return
The topic of Klay Thompson returning to the Golden State Warriors has become more prominent this offseason after rumors of a potential buy out started. Thompson may be on the way out of the Dallas Mavericks after he joined the team originally to team with Luka Doncic and contend for an NBA championship. Dallas trading […] The post Klay Thompson Gives Promising Update On Warriors Return appeared first on HEAVY.
Eagles Can Only Trade Jalen Carter Under One Condition
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AI is already reshaping US politics at every level
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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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A common vitamin could help fight one of the deadliest brain cancers
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“Criminal Approach to Politics”: Trump Ally Abelardo de la Espriella Wins Colombian Presidency
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WHO Step-by-Step programme recognized as a promising innovation for mental health in humanitarian settings
WHO, in collaboration with the Pan American Health Organization (PAHO) and Lebanon’s National Mental Health Programme, showcased Step-by-Step at the World Bank Group’s biennial Fragility Forum in Washington, DC. The forum convened more than 1500 representatives from governments, international organizations and civil society to advance the development agenda in the world’s most fragile and crisis-affected communities. WHO was invited to demonstrate Step-by-Step – a digital self-help intervention for depression, alongside innovations presented by Stanford University and Google. The World Bank Group selected Step-by-Step from among more than 50 innovations that they reviewed in the lead up to the Forum.About Step-by-StepStep-by-Step is a free digital tool developed by WHO in collaboration with Lebanon’s National Mental Health Programme and other partners, that helps people manage depression and anxiety on their own, with light guidance from a trained supporter. It uses a picture-based story to walk users through evidence-based techniques for managing common mental health conditions. Users complete five modules, with weekly contacts – of around 15 minutes each – from a trained non-specialist helper, such as a community health worker.Evidence-basedClinical trials in Lebanon involving nearly 1250 participants – including 680 Lebanese participants and 569 Syrian participants – showed that Step-by-Step significantly reduced depression, anxiety and stress, and improved daily functioning. By the end of the programme, a reduction in depressive symptoms of more than 50% was reported by almost half (46%) of Lebanese participants and more than one third (37%) of Syrian participants compared to approximately 14% of those who did not use the programme. Cost-effectiveness analyses further suggest that Step-by-Step may offer a cost-saving response to depression in humanitarian emergencies in low- and middle-income countries.Used globallyStep-by-Step is already in use nationwide in Lebanon and Thailand, as part of each country’s mental health system. In India, the NGO – Kaya Guides – has adapted Step-by-Step for delivery through a widely used messaging app. Together, these programmes have provided thousands of people with evidence-based support for depression. The content is freely available from the WHO website for any organization or country to adapt for their own context.A new implementation guideThe Fragility Forum coincided with the recent launch of WHO’s new practical guide: Psychological self-help interventions: delivering self-help for individuals, featuring Step-by-Step and Doing What Matters in Times of Stress (WHO, 2026). The guide is designed to help governments, health workers, organizations and planners bring evidence-based mental health support to more people, particularly in low-resource and crisis-affected settings.
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Faith First Conservatives
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May's top PlayStation games by copies sold
Yesterday’s State of Play gave us an idea of where PlayStation’s heading next. But we’ve had our May estimates for a couple of days now (we always update our data daily for clients), so it’s time to look at what performed best on PlayStation last month. We’ve got a new IP at the top, two evergreens doing their evergreen thing, FC26 smashing it ahead of the World Cup Plus pivot, and a quiet but promising result for Lego Batman. Let’s have a look at the state of Play…Station’s top games for May. 007 takes #001 007 First Light sold 1M copies on PS5 in May, easily making it the month’s top PS5 game by copies sold. Over 80% of those May copies were digital, which is broadly in line with where PlayStation’s digital share has settled for new releases this year. To date, 007 First Light has sold through 2.2M copies across platforms (so no unsold retail copies in that figure). The platform split is 55.1% PS5, 33.1% Steam, and 11.8% Xbox (console, Windows, and cloud combined). In gross revenue terms, 007 First Light has generated $150M. Owing to regional pricing and audience composition differences, the consoles make up a higher share of revenue than they do copies. Of the $150M, 60.5% came via PlayStation, 27.6% via Steam, and 12.9% via Xbox. Part of this is because over two-thirds of 007 First Light‘s PlayStation audience is in North America (43.4%) or Western Europe (23.2%), where local currency means the game generates more revenue per player. On Steam, under half of First Light‘s audience is from those same regions (31.8% North America, 15.1% Western Europe). As we covered in last week’s 007 Steam piece, the Steam version is pulling in higher-than-expected numbers in China, which now accounts for 17.3% of First Light‘s Steam audience. 007 is the equivalent of $44 USD in China, which is roughly 37% cheaper than the US price and about 44% cheaper than Western Europe. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe The crossover data backs up what we’ve seen all year about launch-window cohorts. 11% of PS5 players who played 007 First Light in May also played Lego Batman: Legacy of the Dark Knight, which launched just a few days before. Last month was a great month for Denmark! IO Interactive is Copenhagen-based, and Lego Group is headquartered in Billund (TT Games is UK-based but produces work under Lego Group licence and direction). Speaking of which… A very blocky #2 and #3 Minecraft sold another 788K copies on PlayStation consoles last month. Business as usual, since Minecraft hasn’t sold fewer than 760K copies in a single month all year. With over 350M copies sold across all platforms, Minecraft is the best-selling game in history and one of the strongest brands in the world. Every month, a new cohort of children reaches Minecraft age, which guarantees a constant volume of new sales regardless of what the broader market is up to. The demographic refresh rate is truly impressive, with the audience renewing itself faster than it’s churning. Lego Batman: Legacy of the Dark Knight shifted 757K copies on PS5 last month, bringing its lifetime total on the platform to over 800K. Across all platforms, Legacy of the Dark Knight has now passed 1.5M sold through, so PlayStation accounts for over half of the game’s players. The May crossover data for Legacy of the Dark Knight on PS5 is also useful. 27% of those players also played Fortnite, 16% Roblox, 16% FC 26, and 14% NBA 2K. That’s the household-and-family cohort showing up, plus the launch-window cohort of core gamers who buy practically everything. FC 26 gets players through the door ahead of the World Cup FC 26 sold 411K copies on PlayStation last month (90% via PS5), the fewest copies FC 26 has sold all year and down heavily from April’s 700K. Part of this dropoff is because FC 26 has been available as a PlayStation Plus monthly game since 6 May, cannibalising premium sales. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe The strategic logic is straightforward for EA, which is sacrificing premium unit sales in May to build up the player base ahead of the FIFA World Cup, which kicks off on 11 June. Obviously, a bigger player pool going into the tournament means a bigger pool of potential Ultimate Team spenders during the period when football attention is at its peak. The early returns are around what you’d expect, with 4.4M new players accessing FC 26 via PS Plus last month – a substantial new spender pool. Anecdotally, a few of my mates who were ‘’skipping FIFA and Ultimate Team this year’’, were drawn back in via PS Plus. Lo and behold, one of them is buying packs like it’s going out of fashion. Whether this is all a smart trade for EA depends entirely on the Ultimate Team conversion rate over the next six weeks. Either way, the short-term engagement impact on the game as a whole is evident. FC 26‘s MAUs hit a record 24M on PlayStation in May, up 30% from the previous record set in April. GTA V does what GTA V always does Rounding out the top five is another evergreen title. Grand Theft Auto V shifted another 387K copies on PlayStation last month. No matter what else is happening in the industry, GTA V keeps pulling players in. It’s sold another 1.8M copies on PS5 in the first half of this year alone, helping the franchise pass the 230M-sold milestone across all platforms. Subscribe for free to get the most accurate games estimates in your inbox twice a week 🫶 Subscribe I have a theory that Minecraft and GTA V are doing the same thing at different demographic levels. Both are functioning as generational gateway games that the audience ages into faster than it ages out of. Minecraft captures kids around age 6-10, GTA V captures much of the same audience around age 12-15 (unofficially, of course). The crossover data suggests this: 40% of GTA V‘s monthly PlayStation players typically play Fortnite in any given month, while 30% play Roblox. Household accounts aside, that’s not the original GTA V audience from 2013. Of course, the under-12 audience would love to get their hands on GTA, too. It’s always been the way of things, and some parents are happy to oblige. Mine did too back in the day, and I turned out just fine. Right? Right!? Want to get your hands on our data for yourself – for free? We’re offering a free trial of our platform for games companies. Send us a message here, or reply to this email, and we’ll set you up. The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
Scientists reverse anxiety by fixing a tiny brain circuit
A newly identified group of amygdala neurons appears to play a central role in anxiety and social behavior. Restoring normal activity in this tiny brain circuit reversed anxiety and social deficits in mice, revealing a promising new target for future treatments.
Elections to top science bodies test Croatia’s gender equality in research
Croatia’s track-record on gender equality in science has been both questioned and lauded in recent months, following both bad and good news on the topic. On the one hand, a senior awards committee was announced without a single woman researcher included. On the other, the national science academy welcomed its first cohort of fellows with more women than men.Members of the committee, which gives national awards recognising scientific achievement, are proposed by the ministry of science and endorsed by the parliament. The current line-up does include a woman, but she is culture minister Nina Obuljen Koržinek rather than a researcher. Even then, she didn’t make it into the photograph released to announce the appointments on April 16. “The image speaks a thousand words,” says Tanja Rudež, a science journalist for Jutarnji List newspaper. “I am surprised that none of these men, all well-known scientists, saw a problem with the fact that there was not a single successful female scientist on the committee,” she told Science|Business.Ivan Đikić, a prominent Croatian biochemist based at Goethe University Medical School, commented on LinkedIn that the news illustrated a “sad truth” about the state of science in Croatia.“It [. . .] reveals a system where women, despite contributing a substantial share of high-quality, internationally competitive science, are systematically excluded from the very processes that determine recognition and influence,” he wrote. Some 60% of researchers in Croatia are women, according to the Croatian Bureau of Statistics, and they perform well in international competitions. For example, of the 12 European Research Council (ERC) grants awarded to Croatian researchers, seven went to women.“So how is it possible that decision-making bodies are still dominated by men over 60, while not a single female ERC laureate is involved in the selection process?” asked Đikić. “This is not a marginal oversight; it is a structural failure.” The ministry of science did not reply to a request for comment. The awards committee is not unusual. For example, a scientific advisory body announced by the ministry of demographics in April comprises 35 men and five women. The board of the Croatian Science Foundation, newly appointed by the parliament, is a little better, with five men and two women, but still unequal. “This is especially significant because such bodies do not merely distribute prestige. They shape research priorities, funding allocation and long-term scientific development,” Marija Lugarić, chair of the parliament’s committee on gender equality, told Science|Business. “Representation here matters not only symbolically, but materially.”Referring to the awards committee and the board of the science foundation, Lugarić says that while both bodies were appointed by parliament, neither met the minimum 40% gender balance threshold that Croatian law and EU guidelines expressly recommend for public bodies.Đikić wants to see EU institutions put pressure on the government to ensure basic standards of fairness, transparency and democratic governance in science policy are met. “Meaningful change will not come without pressure,” he wrote. “It must intensify both within Croatia and at the level of European institutions. Anything less undermines the credibility of Europe’s commitment to excellence and inclusion in science.”Rudež also underlined the importance of talking and writing about this topic, “because public opinion in Croatia does influence changes in the status and visibility of women in science.”The European Commission has not yet responded to a request for comment.Good news from the academyA more positive story came from the Croatian Academy of Sciences and Arts on 21 May, with the announcement of seven new women fellows and five men. This is the first time in the academy’s 165-year history that women have outnumbered men in a new intake.One of the new fellows, two-time ERC grantee Iva Tolić, credits the academy leadership with trying to be more modern and inclusive, representing the whole community better. “The academy is really aware that so far, before this election, there were very few women,” she told Science|Business. “So, they are actively trying to make this more equal.”Related articlesExplained: How the MSCA is close to achieving gender balanceCall for EU to leverage academic freedom in global talent raceRudež is more cautious, noting that despite the academy’s “breakthrough this year [. . .] it is still a predominantly male institution, with only 18% women.”This reflects a wider imbalance in Croatia’s research landscape. “The key levers of power in science are still in the hands of men,” she went on. “For example, all 14 rectors of private and public universities are men.”Similarly, Lugarić says a structural glass ceiling still exists in Croatian science, which is “most visible precisely where power is exercised.”She cites data from the Commission’s She Figures 2024 report, which shows that Croatia ranks second in the EU for gender equality in research and innovation overall, with an equality index of 79.6 out of 100. It is in the top five for women’s career advancement, participation in research; representation across all research sectors and for scientific publications.In stark contrast, it ranks second to last when it comes to women in decision-making positions in science. “This is not a coincidence,” Lugarić says. “It is a structural pattern.”Informal barriersThe persistent under-representation of women in the highest structures of Croatia’s academies, boards, award committees and leadership positions is not down to formal barriers, Lugarić says, but arises from more subtle obstacles such as “informal networks, persistent expectations regarding traditional gender roles and the unequal distribution of care responsibilities.”Tolić would like to see more support for young women in terms of affordable housing and child support, and higher salaries. Currently, she says, salaries in science stay low for the first 10-15 years, while housing and spaces in kindergarten are limited and expensive. “You have to work a lot, you get very little money, so it’s not great to have a family in this situation,” she says.But despite the challenges, Tolić is optimistic, saying that gender equality in research in Croatia is “definitely improving and going in the right direction.” The situation is particularly promising in biology, she adds, where most full professors, heads of department and deans of faculties are women. Lugarić, too, see the glass ceiling “very slowly, cracking,” and cites the academy election as an example that structural change is possible. Yet the situation in the national awards committee is a “stark reminder that without a conscious, systemic commitment to gender balance, progress will remain slow and uneven.”