SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " actually " 1,282 found 🔀 AI-powered Shuffle
How Eric Trump Got Rich From Bitcoin While Losing Investors A Fortune
The president’s second son pitches his bitcoin company as a money-printing machine. It’s actually an arbitrage vehicle that preys on MAGA-minded investors.
Apple’s new MacBook Ultra could be exactly what I’ve been wanting
Apple’s MacBook Pro overhaul might actually be a new model: MacBook Ultra. Here’s why it sounds like the exact model I’ve been wanting.
Scientists Just Discovered Where the Earth Actually Came From
Scientists have seemingly settled long-standing arguments about whether the components of Earth originated from the inner or outer Solar System.
Hasbro unveils new figurines for Spider-Man: Brand New Day — and MCU fans think they spoil a big 'badass' event in Tom Holland's next Marvel movie
'Oh s**t, are we actually getting that one scene?'
Most Americans value brain health, but a new Alzheimer's report finds few know how to protect it
According to the survey released this month, 9 in 10 adults aged 40 and older said brain health is a top priority, on par with physical health. But only about 1 in 10 actually know how to maintain it.
Puff, pass and publish: the science behind cannabis
As cannabis becomes more accepted across the United States, public conversations are changing quickly. But according to Rebecca Cooney, a professor of Strategic Communication at WSU, many people still misunderstand what cannabis research is actually about. Cooney works in the Edward R. Murrow College of Communication and is also a co-investigator with the Resource Center...
Why Consumer Reports Says The Best Monitor Size For Your Home Office Isn't 27-Inches
It may be tempting to go for the biggest monitor you can find for your home office, but Consumer Reports actually has a different suggestion.
A Trendy Way to Break Your Social Media Addiction Costs $59. I Found a Clever Dupe.
Finally, I can actually relax instead of just scroll.
Mezcal worm in a bottle DNA test reveals a surprise
The famous mezcal “worm” has long puzzled scientists, but DNA testing has finally cracked the case. Researchers found that all sampled larvae were actually agave redworm moth caterpillars—not a mix of species as once believed. While the discovery clears up a long-standing mystery, it also raises concerns about sustainability. Growing demand for mezcal and edible larvae could put pressure on wild populations and the agave plants they depend on.
I asked ChatGPT for unconventional productivity hacks — these are the 3 that actually worked
Adopting unorthodox methods to boost my productivity
"We want players to spend their time actually enjoying the content they're passionate about" – Honkai: Star Rail Developers Discuss the Future, Potential Switch 2 Port, Himeko’s Coffee, and More
Ahead of its third anniversary, we spoke to the Honkai: Star Rail development team to discuss plans for the future, a potential Trails collaboration, Steam Deck and Switch 2 support, Himeko's coffee, and much more.
‘But I’m lasting like 40 seconds or something’: Nikhil Kamath shares health hacks he swears by to stay in shape
From sleep to cold showers, expert decodes whether these popular wellness habits actually work.
Fish oil may be hurting your brain, new study finds
Fish oil has long been praised as brain-boosting, but new research suggests the story may be more complicated. Scientists found that in people with repeated mild head injuries, a key omega-3 fatty acid in fish oil—EPA—may actually interfere with the brain’s ability to repair itself. Instead of helping recovery, it appears to weaken blood vessel stability, disrupt healing signals, and even contribute to harmful protein buildup linked to cognitive decline.
NFL Draft: Packers trade up for kicker Trey Smack
Green Bay is actually pushing kicker Brandon McManus in 2026
Fruits, veggies can actually fuel lung cancer risk in young non-smokers: shocking study
What a 15 Minute Walk Outside Actually Does to Your Brain
Feeling overwhelmed? A quick walk in nature has benefits for your overall health — all in just 15 minutes. An expert explains how.
Democrats could actually retake the Senate. Here are the races to watch.
The map still favors Republicans, but Trump’s declining popularity --- particularly on the economy --- makes Democrats’ once long-shot bid to retake the Senate more feasible than ever before.
Where do Honda motocross bikes get built?
Our man Aaron Hansel has spent the week touring Honda's engineering and production facilities in Japan. How's your bike actually built? Here's what we can share.
Has Flutter Entertainment (NYSE:FLUT) Fallen Too Far After A 52% One-Year Share Price Drop?
If you are wondering whether Flutter Entertainment's share price reflects its true worth today, it helps to start with how the stock has actually been performing. The shares last closed at US$111.57, with a 1.4% gain over the past week and 7.9% over the past month, set against a 48.9% decline year to date and a 52.1% decline over the last year. Recent coverage has focused on the sharp pullback in the share price and what it may signal about changing sentiment toward the business. This...
Building a massive dam between Alaska and Russia could prevent AMOC collapse, scientists say
Building a dam in the Bering Strait might preserve the Atlantic Meridional Overturning Circulation, but experts warn it could also threaten wildlife, Indigenous people and shipping — and could actually speed up its demise.
Trump’s decline is an emergency: Why doesn’t Congress treat it like one?
We need to put aside fantasies about impeachment and the 25th Amendment and focus on fixes we can actually implement. So let’s have Congress pass a bill that gives the Gang of Eight immediate and u…
You Can Actually Regrow Your Fingertips. Scientists Just Figured Out How.
You can regrow damaged skin in the area, sure—but also bone, tissue, and nerves.
How one couple invested their way to financial independence
"FIRE was the only thing that actually worked," said one couple who abandoned their homeownership dream and struck out on multiple side hustles.
Health-care AI is here. We don’t know if it actually helps patients.
The tools may be accurate, but that doesn’t necessarily mean they’ll improve health outcomes.
Lincoln Public School students practice running a business at student farmers market
One of the 3rd grade teachers said its all about giving the kids an understanding of what it’s like to be producers and consumers and seeing where their money actually goes.
I used Jeff Bezos’ 'Day 1' rule to fix my ChatGPT workflow — and it actually killed my procrastination
Adopting this rule helped me more proactive and avoid putting things off
2026 NFL Draft: Five win-win trades that could actually happen in the first round
There's plenty of potential for drama Thursday night
Colorado’s creative economy needs a business structure that actually fits
By Marc Catlin Across Colorado, people are building something from the ground up.I’ve seen it my whole life. I grew up on a farm in Montrose County, and I’ve spent my career working in agriculture, water, banking, and small business. No matter the industry, the basics are the same. If you want something to last, […]
9 in 10 Americans say brain health is important, but Alzheimer’s report finds most don’t know how to maintain it
While nearly 9 in 10 adults say brain health is very important, only a small number say they actually know how to maintain it, according to a new report from the Alzheimer’s Association.
Framework's CEO on the RAM crisis and creating a "MacBook Pro for Linux users"
We actually have slightly more Linux users than Windows users."
Warsh vows to keep monetary policy independent of politics
STORY: :: Fed chief nominee Warsh vows to keep monetary policy independent of politics:: Washington, D.C. / April 21, 2026:: Kevin Warsh, Federal Reserve chief nominee“Monetary policy independence is essential. Monetary policymakers must act in the nation's interest. Their decision is the product of rigor, deliberation and unclouded decision-making. And as Senator Warren said, I do not believe that independence of monetary policy is threatened when elected officials state their views on rates. Fed independence is up to the Fed." // :: Sen. Elizabeth Warren, Ranking Democrat on Senate Banking Committee“So, independence takes courage. Let's check out your independence and your courage. We'll start easy. Mr. Warsh, did Donald Trump lose the 2020 election?”WARSH: “Um, we try to keep politics, if I’m confirmed, out of the Federal Reserve.”WARREN: “I’m just asking you a factual question. I need to know. I need to measure your independence and your courage.”WARSH: “Senator, I believe that this body certified that election many years ago.”WARREN: “That’s not the question I’m asking. I’m asking did Donald Trump lose in 2020?”WARSH: “And I’m suggesting to you in 2020…”WARREN: “I’m suggesting you can’t answer that.”WARSH: “… the Fed had a huge inflation problem, and you certified the election…[crosstalk]… let’s keep the politics out of monetary policy.” //WARREN: "Just one little place where you disagree with Donald Trump.”WARSH: “Well, I do have a disagreement actually, Senator, with the president. I think even this morning, he said that he thought I was out of central casting. I think central casting, I'd look older, grayer, maybe show up here with a cigar of sorts.”WARREN: “Quite adorable. But, you know, we need a Fed chair who is independent. That's the only way we preserve the independence of the Federal Reserve. If you can't answer these questions, you don't have the courage and you don't have the independence.”In a confirmation hearing before the Senate Banking Committee that quickly hinted at major changes to come at a Warsh-led Fed, the 56-year-old lawyer and financier blamed the central bank for an inflation surge in the wake of the COVID-19 pandemic that continues to hurt U.S. households.Warsh's hearing quickly turned contentious. Democratic Senator Elizabeth Warren pressed Warsh on his independence and "courage", saying President Donald Trump had made clear Warsh would be his "sock puppet".
Chipolo’s Android Find Hub trackers actually have 1-year battery life, new wallet launches
Chipolo has a big update on its Find Hub trackers for Android, with the battery life rating having just doubled...
Former Pinterest team redesigns email with Extra — and it’s actually good
Extra, from a team of former Pinterest designers and engineers, reimagines email around your life instead of the traditional inbox.
Shaky political science: using "simulated" elections over real-world elections
[Dear DSOS readers – this article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in early December, we examined over 40 studies focused on ranked choice voting. We found that many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data, and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
Is stevia actually healthy? What to know when cutting back on sugar
Research has shown diets high in added sugar can be linked to several health issues, including obesity, Type 2 diabetes and fatty liver disease.
Can you determine your personalised stress score?
“I’m stressed” is a phrase that many of us use, but now there are ways to shed light on how stressed you actually are
Can You Really Trust Your Sleep-Tracking Wearable?
As sleep-tracking wearables gain popularity, so does a critical question for consumers and patients alike: Can you actually trust the data on your screen?
Cabbage Is Having a Moment, But Is It Actually Healthy for You?
FYI before you jump on the cabbage wagon.
Curing U.S. Health Care, Part I
In 2008, much to their own surprise, leading Democrats unified around a program of major health care reform. Policy wonks had spent years developing the concepts behind what eventually became Obamacare; big Democratic victories in the 2006 midterms and the prospect of controlling both Congress and the presidency made it possible to imagine turning those ideas into reality. During the Democratic primary, Hillary Clinton and Barack Obama advocated similar plans, based on those ideas, for expanding insurance coverage. And it happened! The Affordable Care Act was enacted in 2010. When it was fully implemented in 2014, millions of Americans got health insurance: Impressive as the raw numbers are, they don’t tell the whole story. Before the ACA, even upper-middle-class Americans often found it impossible to get health insurance if they had pre-existing medical conditions. Many Americans were trapped in jobs they wanted to leave but couldn’t for fear of losing their employment-based coverage. Meanwhile, dire predictions from the usual suspects about runaway costs proved wrong. In fact, overall U.S. medical spending has grown much more slowly since the ACA was enacted than before. But the U.S., alone among advanced nations, still falls far short of providing universal health care. As you can see from the chart above, 8 percent of the population was still uninsured in 2024, a number that is set to rise over the next two years as a result of Republican policies. True, many of the uninsured in 2024 were undocumented immigrants, who we don’t try to cover. But there are still a lot of uninsured. Moreover, a significant number of Americans who have health insurance are in fact underinsured. As a result, they are at risk of incurring devastating healthcare costs and are sometimes forced to forgo needed care. This number is set to rise sharply in the next two years as a result of Republican policies adopted under Donald Trump. And not only is the U.S. unique among advanced countries in its under-provision of health care coverage, it also incurs by far the world’s highest healthcare costs per capita. So now may well be a good time to get behind a new push for major health reform — an effort, if you like, to finish the job begun under Obama. Today’s primer is devoted to the economics of health reform. During his failed effort to repeal the Affordable Care Act, Donald Trump famously complained, “Nobody knew healthcare could be so complicated.” Actually, we did know — and it’s not that complicated. Health economists understand the principles very well. And because health policy varies greatly among advanced nations, we know a lot about what works and what doesn’t. This will be the first in a series about health reform. Beyond the paywall I’ll address the following: 1. Why markets can’t be trusted to deliver healthcare 2. Routes to universal healthcare 3. What works? In a follow-up post I’ll discuss the pros and cons of different approaches, and possible paths forward for the United States.
Winner and Loser of the Week in Florida politics
Is a Special Session delay actually a win for Ron DeSantis?
Davidson Community Players stage contemporary plays
'The Lifespan of a Fact,' and 'Actually' at Armour Street Theatre
Think AI "knows" what it’s doing? Scientists say think again
Calling AI things like “smart” or saying it “knows” something might sound harmless, but it can quietly mislead people about what AI actually does. A new study shows that news writers are more careful than expected, rarely using strongly human-like language. When they do, it often falls on a spectrum—sometimes describing simple requirements, other times hinting at human traits.
Bayonetta creator explains what actually happened in Bayonetta 3's ending
The creator of Bayonetta argues that the inclusion of the multiverse didn't come out of nowhere and clarifies the ending of Bayonetta 3.
Is stevia actually healthy? What to know when cutting back on sugar
Is stevia bad for you? A dietitian breaks down what to know about the sugar substitute.
Dyson HushJet Mini Cool vs. Shark ChillPill — I tested both portable fans and this is the one I'd actually buy
Because staying cool is now a premium experience
The Identity Crisis: who are you without your business?
Amber Freeman, host of Bloom, sat down with Author of “Unchained,” Bobby Mascia, to talk about how the biggest risk to a successful retirement isn’t actually a financial one.
Can Europe create artificial intelligence that we actually understand?
Artificial intelligence is currently controlled by a number of tech giants in the United States and China. One professor believes Europe can choose to take a smarter and more democratic path.
Dangerous Microsoft Windows Update Confirmed—Do Not Download
As security researchers warn about a dangerous Microsoft Windows update that isn’t, users must pay close attention to what they are actually downloading.
The surprising reason you’re so productive one day and not the next
Feeling mentally “on” isn’t just in your head—it can significantly boost what you accomplish. Researchers found that sharper thinking on a given day leads people to set bigger goals and actually follow through. That edge can equal up to 40 extra minutes of productivity. But push too hard for too long, and the effect reverses.
This simple change stops robot swarms from getting stuck
In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to “wiggle” slightly instead of marching in straight lines, they can slip past each other and keep tasks flowing smoothly.
Swalwell resigned. But will he face real consequences?
California Rep. Eric Swalwell resigned from Congress and suspended his gubernatorial campaign. But did he actually apologize and take accountability?
Dangerous Microsoft Windows Update Warning—Do Not Download
As security researchers warn about a dangerous Microsoft Windows update that isn’t, users must pay close attention to what they are actually downloading.
What trainers actually think about the 12-3-30 workout
Have we finally unlocked exercise’s biggest secret? Or is this yet another lie perpetrated Big Treadmill?
Trump touts 'gold standard science.' What does that actually mean?
The Trump administration says it's returning U.S. science to a golden era. Critics say it's tarnished by political agendas.
The Pixel 10 is getting a major security boost you'll never actually see
Google is bringing memory-safe Rust code to the Pixel 10 modem to protect users from remote hacking and memory-safety vulnerabilities.
Universe is expanding faster than expected: Scientists struggle to explain cosmic acceleration
Science News: Not only is the Universe expanding, but its expansion is actually happening at a speed higher than was thought possible until recently. For many years.
New Huawei Foldable Looks a Lot Like Apple's Rumored iPhone Fold
Apple's upcoming foldable iPhone is expected to feature a book-style form factor that's relatively uncommon in the foldables market, but Huawei's new Pura X Max appears to share a similar wide aspect ratio. Set to be released in China next week, Huawei's new device actually builds upon a design used by the original, smaller Pura X, which was marketed last year as an extra-wide flip phone.
New disclosures reveal how DOGE actually worked
Depositions offer insight into what Elon Musk’s group was up to. Members describe a club-like atmosphere in which they slashed agencies with little oversight.
Stop wasting time on hair myths: 5 science-backed secrets that can actually grow your hair
If you’ve ever gone down the rabbit hole of “hair growth hacks,” you already know how confusing it gets. Oil this, don’t oil that. Cut your hair, don’t cut your hair. Everyone seems to have an opinion - and half of it contradicts the other half.So let’s simplify things.Here are 5 science-backed habits that actually support better, healthier hair growth. No overnight miracles - just real, practical changes that make a difference over time.
Scientists were wrong about lifespan. Your genes matter way more than we thought
For years, scientists believed our lifespan was mostly shaped by environment and chance, with genetics playing only a minor role. But a new study from the Weizmann Institute flips that idea on its head, revealing that genes may actually account for about half of the differences in how long people live. By analyzing massive twin datasets—including twins raised apart—and using innovative simulations to filter out deaths from accidents and other external causes, researchers uncovered a hidden genetic influence that had been masked for decades.
"Sweet blood doesn't attract mosquitoes: here is what actually attracts them according to science " - Futura-Sciences
At night, you hear the constant buzzing of a mosquito. By morning, there’s a fresh bite right on your cheek. Meanwhile, your partner slept peacefully through the night. During a walk with friends, you’re the one constantly swatting at tiny attacks on your legs, arms, and back. Like tiny vampires...
How to get a refund on the Nintendo eShop
Here's what you can and can't get refunds for on the Nintendo eShop on Switch and Switch 2 with information on how to actually get one.
“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
What does American politics look like beyond Trump?
Introducing America, Actually — a new kind of political podcast for a country redefining itself.
The Science Behind Spring Cleaning [Opinion]
Feeling the need to clean this spring? There’s actually a scientific reason why.
Victor Wembanyama eligible for MVP, other awards after playing in 65th game this season despite rib injury
Victor Wembanyama is eligible to win the MVP award, but will he actually do it?
Jelly Roll’s Blood Test Results Are a Wake-Up Call: What Blood Tests Should Your Family Actually Be...
Jelly Roll’s blood panel results stunned his doctors. If you manage your family’s health, his story is worth reading.
Are you a ‘HENRY’? Why 90% of financial advisers will waive their minimums to get your business.
Most advisory firms’ $500,000 or $1 million thresholds are actually just branding tools. Here’s how to tell if you’re actually a good fit for their services.
1st-Round WR Enters Vikings Mock Draft Orbit
Will the Minnesota Vikings actually use their 1st-Round draft pick in two weeks on a wide receiver? Probably not. Can […]
Viktor Orbán Could Actually Lose Sunday’s Hungarian Election
The Hungarian leader faces an energized opposition—and questions about whether he would accept defeat.
Why many Trump-supporting business owners hope Democrats win the midterms
If the Democrats control Congress, we will have a deadlocked government. And business owners like me will breathe a sigh of relief. We could use a couple of years of inaction to actually focus on o…
"Super special. ... I think those were actually a …
"Super special. ... I think those were actually a …
California’s crisis in rural health care is also a chance for transparency
Drug discounts aimed at rural hospitals serving uninsured or low-income patients actually profit hospitals that don’t serve those patients.
Watch out for college sports 'reforms' that shortchange student-athletes
If the system is constrained for those whose labor actually generates the revenue, that is not reform — it is codified inequality.
The ‘oldest octopus’ in the world isn’t an octopus after all, scientists find
The story of a 300-million-year-old fossil has been rewritten after scientists discovered that it doesn’t actually belong to the world’s oldest octopus as previously thought.
Science Communications with Natasha Kassulke
Are you interested in learning how to turn complex ideas into messages people actually understand? Then Science Communication is the perfect class for you! This fall 2026 semester, Science Communication (Hybrid) will be taught by instructor Natasha Kassulke. WHY TAKE THIS COURSE? ● Earn college credit in high school ● Explain ideas clearly and confidentlyStory...
Form Bio: The Operating System for Science
Ben Lamm (left) and George Church (right) pose in front of a woolly mammoth. By Futurist Thomas Frey When Colossal Biosciences launched in 2021, one of the first things Ben Lamm did was sit down with his team and map out all the software they would need to actually do the work. The list came […]
Are AI scribes actually driving higher health care costs?
In this edition of STAT's AI Prognosis: A closer look at a recent analysis that implied AI scribes are driving up the health care costs, and more.
Why Talking Behind Someone's Back Isn't Always Bad
We're actually born to do it.
Why The Double Helix is such an extraordinary but infuriating book
James Watson’s The Double Helix is probably one of the greatest science books of all time – but Michael Le Page finds he can’t recommend that anyone actually reads it
Is ‘lab-grown’ meat actually safe?
It isn’t identical to regular meat, but that might be a good thing.
The world’s “oldest octopus” was never an octopus
A famous “oldest octopus” fossil has been exposed as a case of mistaken identity. Advanced imaging revealed hidden teeth showing it was actually related to a nautilus, not an octopus. The confusion came from decay that altered its shape before fossilization. This discovery rewrites part of evolutionary history, pushing the true origin of octopuses much later in time.
Finding Trends in Sports Stats and ‘Wheel of Fortune’ Puzzles
Ben Blatt, a data reporter for The Upshot, dreams up inventive ways to answer questions like: “Is Taylor Swift actually increasing N.F.L. ratings?”
The New Gut Health Obsession Comes With a Catch, Experts Warn
Is 'fibermaxxing' actually healthy?
The New Gut Health Obsession Comes With a Catch, Experts Warn
Is 'fibermaxxing' actually healthy?
Vox Launches America, Actually, a New Video-First Podcast Hosted by Astead W. Herndon
The show offers a sharp, on-the-ground look at American politics, built for how audiences watch and engage today.
Vox Launches America, Actually, a New Video-First Podcast Hosted by Astead W. Herndon
The show offers a sharp, on-the-ground look at American politics, built for how audiences watch and engage today.
Scientists discover hidden brain switch that tells you to stop eating
Your brain’s “stop eating” signal may come from an unexpected source. Researchers found that astrocytes—once thought to just support neurons—actually play a key role in controlling appetite. After a meal, glucose triggers tanycytes, which send signals to astrocytes that then activate fullness neurons. This newly discovered pathway could lead to innovative treatments for obesity and eating disorders.
State Of Decay 3's Announcement Trailer Wasn't Actually The Game
The trailer also featured things that won't be in the full game, like zombie deer.
AI breakthrough cuts energy use by 100x while boosting accuracy
AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, researchers have unveiled a radically more efficient approach that could slash AI energy use by up to 100× while actually improving accuracy. By combining neural networks with human-like symbolic reasoning, their system helps robots think more logically instead of relying on brute-force trial and error.
March’s top selling sports cards, plus the Shohei Ohtani card defying the odds
Two big Aaron Judge card sales led the way, but did he actually lower the value of one he shared with Ohtani?
5 Things You Never Knew Google Photos Could Actually Do
While Google Photos is known for organizing and storing photos in the cloud, it can do a lot more now, such as making reels for you and adding music to clips.
Scientists find hidden brain cells helping deadly cancer grow
Scientists in Canada have uncovered a surprising weakness in glioblastoma, one of the deadliest brain cancers. They found that certain brain cells—once believed to only support healthy nerves—can actually help tumors grow by sending signals that strengthen cancer cells. When researchers blocked this communication, tumor growth slowed dramatically in lab models.
Study of 1,700 languages reveals surprising hidden patterns
A massive new analysis of over 1,700 languages shows that some long-debated “universal” grammar rules are actually real. By using cutting-edge evolutionary methods, researchers found that languages tend to evolve in predictable ways rather than randomly. Key patterns—like word order and grammatical structure—keep reappearing across the globe. The results suggest shared human thinking and communication pressures shape how all languages develop.
Your Odin 3 Might Not Actually Use the Snapdragon 8 Elite, but There’s More to the Story
The Odin 3’s chip story just got messier, as AYN replaces Snapdragon 8 Elite branding with Dragonwing Q8 across its official landing page.
Mars dust storms are sparking electricity and rewriting the planet’s chemistry
Mars may look like a quiet, dusty world, but it’s actually buzzing with hidden electrical activity. Powerful dust storms and swirling dust devils generate static electricity strong enough to spark faint glowing discharges across the planet, triggering chemical reactions that reshape its surface and atmosphere. Scientists have now shown that these tiny lightning-like events can create a surprising mix of chemicals—including chlorine compounds and carbonates—and even leave behind distinct isotopic “fingerprints.”
How bringing more grime into your home could actually improve your child’s asthma
Why Spring Cleaning Is Good for Your Home AND Your Health
While spring cleaning might feel like just another thing on your to-do list, it can actually do more for your health than you might expect.
Album Review: 6WA by BigXthaPlug & 600 Entertainment
BigXthaPlug spent eight months in Nashville making a country-rap album that debuted at No. 7 on the Billboard 200, put “All the Way” with Bailey Zimmerman at No. 4 on the Hot 100, got him a Rolling Stone cover, and filled arenas with Jelly Roll. And then he came back to Dallas, rounded up four of his signees, and made a gangsta-rap record with N.W.A’s Straight Outta Compton on the cover. 6WA is the second group release from 600 Entertainment, named after the 600 block of Meadowridge Street in Ferris, Texas, where BigX and his people grew up. The whole thing is loaded with West Coast samples. From N.W.A.’s “8Ball,” Eazy-E’s “Real Muthaphuckkin G’s” and “Boyz-N-The-Hood,” Ice-T’s “6 in the Mornin’,” Snoop Dogg’s “Nuthin’ but a ‘G’ Thang” and more. BigX is staking his name on the lineup he built—Rosama, MurdaGang PB, Yung Hood, KevanGotBandz, KaineMusic—and claiming a lineage from 1,400 miles away while insisting Dallas is its own thing. A million dollars in cash, split and handed straight to his mother. That’s the first place BigX goes on “From the Bottom.” He’d probably still be in the streets if he didn’t have his son and daughter. He only started rapping to make life better for Carter. Couldn’t start his car back then, now people get starstruck at Starbucks, and he throws the whole field away in one sentence: “How you think we competin’? You on the same bag, I just made me some millions off country.” Goyard bags off a Nashville payday, and he wants you to know exactly how far he’s come from everybody else. “Safe to Say” does something similar but looser. It’s a straight Ice Cube “It Was a Good Day” flip, and BigX nails it. Wakes up, checks both phones, nobody’s locked up, kid accounts look good. Gets pulled over, only catches a warning. Pulls up on the squad to liquor, ladies, and haze. Rosama takes the second verse and matches him. Wakes up to his girl cleaning his cuticles, twins playing peekaboo, pays off his car, calls a cousin, sees the opps and they don’t trip. Lawyer calls, he beat his case. Rosama is the strongest voice in the 600 camp after BigX, and “Life of a Gangster” is why. Third person, riding low, blacked-out windows, snub-nose revolver. A character who chose sticking people up over selling dope. “Quick eraser like a number-two pencil.” He never breaks character, and his delivery drops lower and slower than anything he does on the group cuts, like he’s telling you something at a cookout that he probably shouldn’t. Then on “Long Live Fre$h” he’s a completely different rapper. “Short-bus diamonds, these bitches retarded,” wide-body Durango he can’t even park. That kind of range matters on a group record. MurdaGang PB’s best verse is on the title track. Feds at his door at 6 AM, cameras busted, flushing dope, ram truck putting everybody on the floor. Yung Hood on “The Hottest” just lays out four reasons to keep hustling. Who wants to be broke, women cost money, you need bail, and home has to be straight. It’s funnier and more honest than most rappers get when they’re trying to explain why they sell drugs. KevanGotBandz on “Ain’t Never Slowin’ Down” talks about his father getting caught on the dope while he’s sitting on $300K somewhere in the hills, which is a specific kind of guilt that doesn’t usually make it onto crew tapes. KaineMusic, the newest signee, takes the back half of “Who Dunnit” and introduces herself in third person—“Took flight just to show these hoes how to perform”—but it’s too short to know if she can hold a full song. The flex tracks fill the middle of the LP and mostly run together. “I Go” is Rosama and PB trading brands, guns, and food punchlines. Rosama’s “anemic, my iron tucked low in this shirt” is a slick gun bar, PB fires back with “.223 with a clip ‘bout as big as a toddler” and “I go Burger King, stay with that whopper.” Quick, funny sometimes, but it’s all shopping lists. “Dopeman” is a chant. “6ixer Party” brings Snoop Dogg, who does exactly what you’d expect Snoop Dogg to do. BigX contributes the night’s wildest overshare: “She say she brought a friend too, well, I’m tryna put sausage on her dental.” These songs move fast and don’t overstay, but three or four of them could trade verses and nobody would catch it. Midway through, The D.O.C. shows up for a spoken-word interlude. Tracy Curry. West Dallas native, former N.W.A affiliate, co-writer on a lot of the records getting sampled on this very album. He thanks BigX for the tribute and then gets direct: “This your time, this DFW time. You need to do it like we do it down here.” Leave bread crumbs so everybody behind you can eat. Keep God in your life. It’s fatherly and generous, and it does raise the question of whether 6WA follows that advice. The album borrows heavy. The cover art, the Eazy-E samples, “Amerikkka’s Most Wanted” opening with a direct “Boyz-N-The-Hood” lift, Yung Hood rapping “Flag on my left side, Crip until I die.” But the stuff that actually stays with you is Dallas. BigX talking about Pleasant Grove, Rosama calling himself a country boy, PB recounting a raid that could’ve been last Tuesday. The record smells most like itself when it smells like Ferris, Texas, and least like Compton. BigX on “The Hottest” says his father was the first person he knew who had chickens. Not the way rappers usually wave at the drug trade. He means his actual father, his actual family. On “600 Degrees,” Rosama compares his chopper’s stutter to a speech disorder, PB claims he still has the block on his back even after leaving the city. BigX closes that one saying he used to spin and smack, and now the plaques are platinum. Thirty-two minutes was right for this. Nobody overstays, Tony Coles and Rance and Charley Cooks keep the production punchy, and BigX gives his signees real room instead of crowding every song. 6WA doesn’t reinvent anything. Five rappers, good beats, short clock. Most of what they say you’ve heard before. Some of it—the million to his mother, the cuticles and peekaboo, the four reasons to hustle—you won’t forget. Solid (★★★½☆) Favorite Track(s): “Safe to Say,” “From the Bottom,” “The Hottest” Subscribe
Scientists built a quantum battery that breaks the rules of charging
Scientists have taken a major step toward futuristic energy tech by building a working prototype of a quantum battery—one that can charge, store, and release energy using the strange rules of quantum physics instead of chemistry. This tiny, laser-powered device hints at a future where energy storage is not only faster but actually improves as systems get larger, flipping the rules of conventional batteries.