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Predicting Suns' Team Awards for 2026–27 Season
Devin Booker cements his legacy as a franchise icon while rookie sensation Khaman Maluach transforms the frontcourt in this visionary look at the Valley’s future hardware.
Predicting Knicks’ Full Rotation for Opening Night vs. 76ers
The defending champion Knicks' starting five is no secret to anybody, but who will make up the rest of the rotation on opening night Tuesday?
Predicting Week 8 Big Ten Football Game Times
When we think games will kickoff.
Predicting the Detroit Tigers Outfield for Next Season
The story of the Detroit Tigers outfield in 2026 was much akin to Jekyll and Hyde. While the team benefited from a stellar but abbreviated rookie season from Max Clark, as well as another All-Star campaign from Riley Greene, injuries and inconsistency plagued the outfield spots. Parker Meadows and Wenceel Perez missed large parts of …
DEVO Mark Mothersbaugh on 1970s Pop Band Predicting Today’s Politics
The veteran composer discussed his eclectic artistic career combining film and music at the Vancouver Film Festival.
Predicting Everton's October as Tough Schedule Incoming
Everton have a difficult month approaching, facing Hull, Chelsea, Arsenal, and Newcastle.
NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science
NASA and IBM have released the Lunar Foundation Model, one of the first open-source AI models for lunar science. Trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data, it cuts the error in predicting polar ice deposits by up to 22 percent compared to the strongest model it was tested against.
Predicting Tyrese Haliburton's Statline in Return to Pacers This Season
Taking a look at how Tyrese Haliburton's year will go for the Indiana Pacers this season.
Good science requires much more than evidence
Empiricists believe that scientific theories are true only if they make correct empirical predictions: if we can't verify these predictions, then there is no reason to expect that they tell us anything about reality. However, Professor of Philosophy at King's College David Kyle Johnson argues that this is mistaken. In response to Bas van Fraassen, who has written on this subject for the IAI, he argues that we have many reasons for believing a theory to be true, such as it being parsimonious and having large scope — qualities which have been used throughout the history of science as criteria for judging theories. In 2024, Princeton philosopher Bas van Fraassen wrote a short article for IAI News entitled “Science Does not Describe Reality: The Limits and Benefits of Explanation.” At the time, I was working on two projects (a science book and a Great Course) that, when completed, would (among other things) defend science’s ability to describe reality. I wanted to write a response to van Fraassen, but the projects demanded too much of my attention. But now that those projects are complete, I am in a position to explain the objections to van Fraassen’s thesis. Summarizing van Fraassen’s argumentIn a nutshell, his argument is this: What scientists do is make predictions based on theories and then invite others to test to see whether those predictions are borne out. “If theory T is right, result R should happen in experimental condition C.” Many think that running an experiment that shows that R happens in condition C is proof that theory T is true (and should be believed). But, van Fraassen argues, that R happened in condition C is only a reason to think that R happens in condition C. That’s the only observable, or empirical, result we can actually see, so that is all that we are really justified in believing. (The underlying theory that made that prediction still may or may not be true.) That is why he calls those who accept his position “empiricists.”Before I explain what is wrong with this position, let me explain what it gets right. What van Fraassen Gets RightFirst, a theory correctly predicting the results of an experiment is not, strictly speaking, “proof” that the theory is correct. The basic line of reasoning is this:If the theory T is true, result R should happen. Result R did happen. Thus, theory T is true.In other words:“If T then R. R. Thus, T.”This is a deductively invalid, fallacious mode of reasoning, called “affirming the consequent.” Those premises do not guarantee that the conclusion follows. “If I am in Pennsylvania, then I am in the USA. I am in the USA. Thus, I am in Pennsylvania.” Clearly that argument doesn’t guarantee its conclusion; neither does the above argument.However, science is not a deductive method of reasoning; it is an inductive one. And inductive arguments merely try to raise the probability of their conclusion, not “prove” them for certain. Thus, the fact that an experimental result doesn’t prove a theory is true is irrelevant; it’s not supposed to. That is not what scientific reasoning is about.___If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational.___Second, it’s also true that a single experimental result doesn’t provide enough justification to believe that a theory is true. Scientists do not come to a consensus about whether a theory is true by looking at a single experiment; they look at all the evidence to determine where the preponderance of evidence points. The mere fact that I am in the USA raises the probability that I am in Pennsylvania, but not nearly enough to conclude that I am in Pennsylvania. However, if I am also regularly encountering people wearing Eagles and Phillies hats and seeing advertisements for Founding Father tours, I probably am. In the same way, a theory successfully predicting the outcome of one experiment is not enough to conclude that it is true; but if a theory makes a wide variety of predictions that are all vindicated by multiple experiments, performed by many different groups and people, all actively trying to prove the theory false (which is what good scientific experiments are designed to do)—that is a good reason to conclude that the theory is true. In other words, if you repeatedly try to prove something false but can’t, that is a very good indication that it isn’t. The problem of underdeterminationIn reply, those whom van Fraassen calls “empiricists” often point to the “problem of underdetermination.” For any given theory that makes successful predictions about what happens in experimental conditions, there are countless other possible theories that make exactly the same predictions—and since they do, the experimental evidence in question is just as much reason to accept any of those theories as it is to accept our original one. Thus, the argument goes, we have no way of knowing whether our original theory is true, or one of the other “predictively equivalent” theories is true. SUGGESTED VIEWING How Occam's Razor changed the world With Johnjoe McFadden As an example of underdetermination, philosophers often offer this example. The evidence of fossils seems to provide reason to conclude that the universe is quite old; ancient fossils are what the “ancient universe” hypothesis predicts. But it’s also possible that God created an ancient-looking universe 200 years ago, complete with a “fake” fossil record for us to find, to make it look old. The existence of fossils is what that theory predicts too. So, the argument goes, the fossil record can’t be used as evidence that the universe is ancient; the fossil record supports the “200-year-old ancient-looking universe” theory just as much. The problem of underdetermination points out that, for any theory with supporting evidence, we could invent another completely different theory that predicts exactly the same evidence, and thus undermine that evidence’s ability to support the original theory.But this “argument from underdetermination” betrays a fundamental misunderstanding of what scientific reasoning is and how it works. To explain, let me use another rather strange (but very real and commonly discussed) philosophical thought experiment called “The Grue Problem.” The “Grue” ProblemSuppose I want to know what color emeralds are, so I observe a few, see that they all appear green, and form the theory that “all emeralds are green.” I thus predict that the next 100 emeralds I find will also appear to be green. And let’s say that happens, and so I thus conclude that my theory that all emeralds are green is true. Now, one might rightly point out that I don’t know for sure that all emeralds are green—I have not seen them all. Maybe some I haven’t found yet are blue. Fair enough. After all, we used to think that all swans were white, until we found some black ones. But let’s say that I go on a quest and collect every emerald in the universe—and, for the sake of the argument, let’s say I can do this, and can even know that I have every one of them. So, I collect them all, look at them all, and verify that they all appear green. Can’t I now rightly conclude that all emeralds are green?Inspired by the problem of underdetermination, a friend might argue that I cannot.Sure, they all appear green now—but there could be another kind of color called “grue.” Something is grue if it is green up to a certain point in time, but then spontaneously turns blue. And there could be an infinite number of “shades” of grue. Something that is one shade of grue will turn blue at noon today, but something that is another shade of grue will turn blue at noon tomorrow, etc. So yes, the emeralds appear green now; and since they haven’t turned blue yet, they are not some “past” shade of grue. But they might be some “future” shade of grue (e.g., they may turn blue at noon tomorrow). And since all future shades of grue are consistent with “being green up to this point in time,” the evidence you have is completely consistent with the notion that all emeralds are some future shade of grue, rather than green. Indeed, that they would appear green until now is what the “some future shade of grue” hypothesis predicts. So, we have just as much reason to conclude that all emeralds are some shade of grue as we do to conclude that they are green.You’re probably thinking “It’s not equally possible that the emeralds are grue; they are obviously green.” You are right! But explaining why your instinctive reaction to my friend’s argument is correct will help inform why van Fraassen’s “empiricist” is wrong and science actually does describe reality.The main mistake my friend makes is in thinking that the “empirical evidence” (of all the emeralds appearing green) is (or even should be) all I am using to draw the conclusion that all emeralds are green. It is not. I am also considering known facts about how colors typically work; things don’t usually change color, and when they do, they don’t do so suddenly, without cause, and all at once. So, even though the simple evidence of the emeralds all appearing green up to this point is consistent with them being some future shade of grue—that is even what the grue hypothesis “predicts”—it is still exceedingly unlikely that they are. The hypothesis that they are green is much more likely. Understanding science refutes the problem of underdetermination The misunderstanding about science that the “empiricist” pointing to “the problem of underdetermination” makes is similar to the one that my friend made. Science is not just about considering experimental evidence; in fact, it’s not even just about considering empirical evidence. As Ernan McMullin and many other philosophers of science have pointed out, the inference that makes science is “inference to the best explanation” (sometimes called “abduction” or “retroduction” by McMullin). While, depending on the circumstances, scientists use many different kinds of reasoning, science as a whole is, simply put, the process of considering multiple competing explanations and comparing them to certain criteria—explanatory criteria (the kinds of things explanations must be and do, by definition, to be a good explanation)—to see which explanation is the best.And these criteria do not deal only with empirical results. Yes, successful predictions raise the probability of a hypothesis, but it’s also the case that the more new assumptions a theory makes, the less likely it is to be true; every new assumption presents an opportunity for the theory to be false. (The fewer assumptions a theory makes, the simpler or “more parsimonious” it is said to be.) Likewise, the more existing evidence a theory contradicts, the less likely it is, because in order for a theory to be true, every piece of evidence it contradicts has to be somehow faulty. (The fewer established theories a new theory contradicts, the more “conservative” it is said to be.) And, obviously, the more something explains, the better explanation it is. (This is called having “scope.”) If a theory raises unanswerable questions, it’s not expanding our understanding, and thus is not wide-scoping. Scientists consider all these things when deciding which theory to accept, because the theory that adheres best to these explanatory criteria is most likely to be true.___the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth.___The reason the grue hypothesis is no good is because it invents an entirely new kind of color—not just a new shade, but an entirely different category of color (a different way colors work)—and thus is not parsimonious. It raises unanswerable questions about how and why emeralds would just spontaneously change from green to blue (and thus does not have wide scope). And it contradicts what is already well established about how color works (and thus is unconservative).The theories that the problem of underdetermination points to do the same thing. Yes, the theory that God created an “ancient-looking universe” (complete with an ancient-looking fossil record) two hundred years ago is also consistent with the empirical evidence (of a fossil record) that presently exists; but that theory is monumentally unparsimonious (it requires many extra assumptions about infinite entities) and not wide-scoping (it raises unanswerable questions about why God would do such a thing). So, I can rationally conclude that it is false.Indeed, the history of science includes many examples of theories that were rejected because they lacked parsimony and/or scope, even before their falsity (and the truth of their competing theory) was confirmed by observation. As I point out in my book, geocentrism was rejected by the scientific community because it lacked parsimony, almost 200 years before the observation of parallax confirmed that the Earth moves around the sun. And the continuum theory of matter was completely rejected by 1860, because it couldn’t explain chemical reactions or organize matter into a periodic table, even though the experiments that eventually confirmed atomic theory weren’t even proposed until the 1870s. Solving the best of a bad lot problemIn response, the “empiricists” are likely to object, this time pointing to the “best of a bad lot” problem. “We have no reason to conclude that an explanation that has been shown to be better than others is true because we have no guarantee that the true theory was among those that we were considering.” If you have a “lot” (a collection) of poor explanations, even the best one is not true.The responses to this problem, however, are numerous. Peter Lipton argues that the set of hypotheses that scientists consider are not just randomly selected and thus unlikely to contain a theory that is true; they use existing knowledge to home in on what is most likely to be true. A doctor trying to explain abdominal pain is not going to bother wondering whether demons are causing it; they are going to stick with things like appendicitis and kidney stones, because they are most likely. Further, despite its name, inference to the best explanation is not just the process of comparing hypotheses and accepting the best one; we also want one that is a good explanation in its own right. If it’s not, we are going to keep looking until we find an explanation that is. And while that process does not guarantee that we will come across the exact truth, it’s very likely that the theory that emerges as the best will be at least approximately true, and thus we will be justified in believing it. And lastly, as I point out in my book, although many theories not based in scientific evidence (like geocentrism and continuum theory) have been completely overturned, science almost always progresses by the refinement of scientifically established theories—not their replacement. (Although our sun is not the center of the universe, heliocentrism was our first step in understanding the Earth’s true place in the universe.) So even if a theory we accept today may not be completely right, accepting it is a step on the journey toward the complete truth. The example of atomic theoryNow, it’s worth pointing out that most empiricists are not skeptical of all scientific theories; they are only skeptical of the ones that hypothesize the existence of “unobservables.” It’s not like they think that round Earth, heliocentrism, and germ theory are just useful (but untrue) “instruments” for making predictions about how to most efficiently navigate the seas, predict planetary motion, and treat diseases. They admit that the Earth actually is round, that the planets revolve around the sun, and that germs exist and cause disease. These facts and entities can be observed; the theories that suggest they exist are true. It’s only when theories start hypothesizing the existence of unobservables—like electrons, or quantum fields—that can’t be observed directly, that we should start doubting the theories’ truth. And to be fair to van Fraassen, in this published work, he doesn’t really say that we should doubt the truth of such theories. Only that scientific reasoning does not rationally force us to accept them as true. Skepticism, or agnosticism, he argues, is warranted. SUGGESTED READING Science is based in metaphor By Andrew Reynolds But the history of atomic theory throws a monkey wrench into that argument. Atoms used to be unobservable; again, scientists first accepted the theory that they exist because it had such grandiose explanatory power. But then atoms were seen with electron microscopes. They thus moved into the category of the observable. But this didn’t substantially change anything about what scientists were justified in believing; it certainly didn’t change any “atomic skeptics’” minds. It just confirmed what everyone already knew! If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational. The fact that the thing itself is not technically observable does not make doubting its existence rational.What’s more, the atoms were seen with an electron microscope. But electrons are themselves unobservable. How can an electron microscope reveal an atom if electrons are not real? This leads us to what is famously known as Hilary Putnam’s “miracle argument.” It’s (not) a miraclePhilosopher Hilary Putnam’s miracle argument is somewhat famous. Basically, he argued that a scientific theory being able to repeatedly make successful predictions—even about unobservables—without being at least approximately true would require a “miracle.” In other words, it would be such an improbable occurrence that it could not rationally be believed—the better explanation for why scientific theories about unobservables make the right predictions is because the unobservable entities and structures they hypothesize exist.Van Fraassen has addressed this argument. Indeed, in his original article, where he references Alison Gopnik’s point about orgasms not being “necessary for procreation” even though the desire for orgasm “drives the creation of progeny,” he is pointing to his own argument about how organisms are not naturally selected by evolution to get true beliefs; to the extent that belief-forming processes are selected for, the ones that are selected are the ones that are useful for survival—not the ones that produce true beliefs. In the same way, van Fraassen argues, scientific theories are accepted, not because they are true, but because they aren’t falsified; they make successful predictions; that’s what makes them “stick around.” So, the fact that they make successful predictions (and thus became accepted) is not a reason to think they are true.This argument is similar to C. S. Lewis’s “argument from reason,” which he used to argue against evolution: “The truth of evolution undercuts our ability to know that it is true.” Lewis’ argument famously failed; Elizabeth Anscombe, by Lewis’s own admission, demolished Lewis in a debate on the topic, and I have explained elsewhere why modified versions of the argument fail as well. In short, it’s because it fails to recognize that a belief-forming process can make an organism more likely to survive because it reliably produces true beliefs. It is therefore not the case that beliefs generated by naturally selected belief-forming processes are automatically false or unjustified.In the same way, the reason a theory “sticks around” could be because it’s not falsified, because it “makes correct predictions.” But the reason it makes correct predictions is most likely because it is true. (In pointing this out, I am echoing the arguments of Musgrave, Lipton, Psillos, and Kitcher, who refuted van Fraassen’s argument and analogy long before his 2024 article.) It would be a huge coincidence that it could do so without being true. And that is the point of Putnam’s miracle argument. Thus, contrary to van Fraassen’s suggestion, the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth. ConclusionLet me close by saying something about the fact that empiricists don’t doubt the truth of all scientific theories, just the ones that hypothesize unobservables. In today’s society, this theory is dangerous to espouse publicly. The nuance between being skeptical about all of science, and just the highly technical theories about unobservables, is guaranteed to be lost to the average reader. And there is so much unjustified skepticism and doubt about the findings of science and experts that a headline like “Science Does Not Describe Reality” could easily fuel the anti-science movement, worsen climate change denial and cause the next pandemic.This is why I believe it was important to still respond to van Fraassen’s article, a full two years after he wrote it. Not only, as I have argued, does it represent a philosophically inaccurate view of how scientific reasoning works and what scientific reasoning can do, but it is a dangerous view to boot. It should thus be rejected.
The Beclowning of Scott Bessent
One iron law of current politics is that nobody who associates themselves with Donald Trump emerges with a shred of credibility. For some, that’s not a big loss — it’s not as if anyone respected Pete Hegseth even before he decided that the key to military success in an age of drones and AI was more testosterone. For others, however, the costs are real. I’m old enough to remember when Marco Rubio was widely considered a reasonable, thoughtful politician. Right now, however, my candidate for the biggest loser is Scott Bessent, the Secretary of the Treasury. Bessent started out with significant reputation to lose: When Trump selected him, this was the headline in the Financial Times: Jason Furman, Barack Obama’s chief economist, described him as a “credible Treasury secretary who has a real understanding of the global economy”. But Bessent has now transformed himself into the Baghdad Bob of bonds. Three weeks ago, after intervening (for reasons that remain somewhat unclear) to support the Japanese yen, Bessent boasted about his ability to move markets and dared investors to bet against his, declaring “I am the house now.” He then tried to push long-term interest rates down, buying 30-year U.S. Treasuries in a move some have compared to paying down part of your mortgage by running up your credit card balance. Here’s how that’s going so far: To get some perspective on how high interest rates have gone, here’s a longer-term perspective: We haven’t seen interest rates this high since the fading days of the dotcom bubble. Why are interest rates hitting new records? The backdrop, as I argued in last Sunday’s primer, is the huge AI-driven investment boom; more on that next week. But the immediate cause of the latest interest rate spike was Trump’s rejection of an Iranian proposal to end the war. This rejection sent crude oil prices, which for a while had fallen considerably, shooting back up: It’s notable, by the way, that oil prices remain high even though a significant amount of oil is now being shuttled through the Strait of Hormuz by night, on smaller vessels. That’s an interesting story, which has a lot to do with the fact that oil from the Hormuz shuttle runs must be transferred to larger vessels before being shipped to markets in Europe and Asia; around 15 percent of the world’s large crude carriers are now parked off the coast of Oman, waiting to be tanked up. This is creating a shipping crunch: But that’s a topic for another day. For now, the point is that with oil still high and refined products, especially diesel, still close to record levels, inflation will remain elevated. And this in turn means that the Federal Reserve will keep short-term interest rates high, an expectation that is feeding into longer-term rates. Hence Bessent’s bond-market humiliation. The truth is that Bessent might not have been able to get interest rates down even in the best of circumstances. But he certainly won’t get anywhere as long as Trump keeps believing that he can somehow convert his Iran debacle into a triumphant victory. And Trump will keep believing that as long as he is surrounded by sycophants who tell him what he wants to hear. Sycophants like, for example, Scott Bessent, who is predicting the imminent collapse of the Iranian economy, possibly within two weeks. Bessent is right to say that the embargo on Iranian oil exports is placing the country under great economic strain. But his implicit prediction that this will quickly produce a deal that Trump can call victory looks no more plausible than his boasts about the bond market. The big question now is, why would anyone with a reputation to lose work for Donald Trump? As the beclowning of Bessent shows, joining the Trump team won’t just damage your reputation; it will utterly destroy it.
AI outperforms standard methods of predicting organ failure in acute pancreatitis patients
Persistent organ failure is among the most serious complications of acute pancreatitis and is associated with mortality rates of 30% to 50%.
Predicting upsets in Week 3 of NFL season
These games all have upset potential in Week 3 of the NFL season.
Predicting the Brewers 26-man playoff roster
The Brewers have time to sort out their decision, but here's an early look at who we think will be on the playoff roster
Predicting Where Lakers Finish in Loaded Western Conference
Where will the Los Angeles Lakers finish in the West?
What the weather can teach us about health
What if predicting your future health is more like forecasting the weather than we realize? New research suggests fundamental limits to how far ahead even perfect weather models can see. That idea raises a provocative question for precision medicine: Can more data and better models ever make an individual’s future truly predictable?
Predicting The Washington Wizards Depth Chart After Finalizing Their Roster
After re-signing veteran leader and fan favorite Anthony Gill to a one-year deal, the Washington Wizards' depth chart is finally finalized. With this revamped roster and a potential postseason push, the Wizards' lineup will no doubt look very different from last season. Ahead of one of the most exciting Wizards seasons since the John Wall-Bradley …
Predicting the Broncos' 16 remaining games and final record
Will the Broncos win enough games to make the NFL playoffs this season? Here's our prediction.
Scouting the Grizzlies: 5 questions, prediction with a Montana reporter
Montana beat reporter Frank Gogola previews the Grizzlies' matchup at Oregon State, highlighting RB Eli Gillman, defensive vulnerabilities, and predicting a Beavers win.
Seahawks vs Cardinals: Week 2 score prediction
Predicting the outcome of the Seahawks vs Arizona matchup for Week 2 of the NFL season.
Tracking visits to public points of interest can inform community health measures
It's not so much where people live, but where they frequently spend their time, that can provide useful information for predicting community health measures. A team led by geographers in the Penn State ...
Predicting What Timberwolves Do With Final Roster Spot
Minnesota is carrying 14 players and one open seat, and the smartest move might be leaving that seat empty into the season.
Is the Options Market Predicting a Spike in Ardent Health Stock?
Investors need to pay close attention to ARDT stock based on the movements in the options market lately.
Axios Live: Health leaders emphasize AI progress with human oversight
AI is already accelerating drug development and predicting disease risk, but real-world applications still require human involvement and safety considerations
Scientists Can Predict Where the Next Devastating Earthquake Will Hit
Although predicting the timing of seismic catastrophes remains tricky, these geophysicists’ algorithm could help communities located near subduction zones.
Trump warns against slowing down AI but he is not against some guardrails
President Trump said there were "negative forces" predicting things that he says won't happen.
Trump warns against slowing down AI but he is not against some guardrails
President Trump said there were "negative forces" predicting things that he says won't happen.
New York Giants 2026 Game-by-Game Prediction
Predicting each game on the 2026 NFL schedule for the New York Giants.
Analyst's bold prediction pessimistic about strength of Jaguars' defense
One analyst is predicting a productive day for a Browns' running back against the Jaguars' defense.
Famed NFL columnist makes humiliating admission after Rams prediction backfired
Bill Plaschke’s perfect Rams season lasted exactly one game. Four days after predicting Los Angeles would finish 20-0 and win the Super Bowl, the longtime Los Angeles Times columnist opened...
Kentucky vs Alabama: Predicting the week two winner
Kentucky vs Alabama kicks off on Saturday at 3:30 P.M ET on ABC. Here is my final thoughts on the game and prediction.
UC Riverside scientists develop tool to predict future earthquake sites
Researchers used GPS data to measure where energy was building up in faults, correctly predicting where an 8.8 magnitude earthquake later occurred in Russia last year.
UC Riverside scientists develop tool to predict future earthquake sites
Researchers used GPS data to measure where energy was building up in faults, correctly predicting where an 8.8 magnitude earthquake later occurred in Russia last year.
UC Riverside scientists develop tool to predict future earthquake sites
Researchers used GPS data to measure where energy was building up in faults, correctly predicting where an 8.8 magnitude earthquake later occurred in Russia last year.
Predicting the NFC North winner, Lions’ overall record in 2026
Making 2026 NFL predictions for NFC North winner, and the Detroit Lions’ overall record.
American Heart Association PREVENT equations now integrated into national electronic health record platform
DALLAS, Thurs., Sept. 10 — The American Heart Association Predicting Risk of cardiovascular disease EVENTs™ (PREVENT) equations are now integrated into Epic's electronic health record (EHR) platform, making modern cardiovascular risk assessment now...
ESPN predicts Jaguars miss playoffs in 2026 NFL season
One ESPN analyst is predicting that the Jaguars miss the playoffs. Here is why.
Trump Says Iran War Will End ‘Immediately’ After Midterms
Trump sought to reassure voters by predicting that gasoline prices would fall sharply after the midterm elections.
Buffalo Bills 2026 Game-by-Game Prediction
Predicting each game on the Buffalo Bills' 2026 NFL schedule.
2026 NFL Season Award Predictions: Protector of the Year
The WCG Crew is predicting the 2026 NFL Awards, and next is our pick for Protector of the Year. Could the award stay in Chicago?
Predicting AP Top 25 heading into Week 2
The top teams held their own in the first week of the college football season. What might the AP rankings look like on Tuesday?
2026 NFL Season Award Predictions: Defensive Player of the Year
The WCG Crew is predicting the 2026 NFL Awards, and next up is Defensive Player of the Year.
Predicting Notre Dame football’s game-by-game record in 2026
Notre Dame football starts its season today, and here is a game-by-game prediction of each outcome during the 2026 season.
Predicting Oregon Ducks 2026 Football Schedule
Predicting each game on the 2026 Oregon Ducks schedule.
Predicting Florida Gators 2026 Football Schedule
Predicting each game on the 2026 Florida Gators football schedule.
Predicting Penn State Nittany Lions 2026 Football Schedule
Looking at and predicting each game for the Penn State Nittany Lions football schedule this season.
Predicting Duke Blue Devils 2026 Football Schedule
Predicting each game on the Duke Blue Devils' 2026 football schedule.
Predicting Clemson Tigers 2026 Football Schedule
Prediction for each game from the Clemson Tigers' 2026 football schedule.
Around The Corn: Predicting Fall Sport Champions
On this week's Around The Corn, Kaleb Henry discusses Big Ten and national title champions with Erin Sorensen, Nate Rohr, and Josh Peterson.
Kalshi Won’t Take Bets on Supreme Court Case Threatening Its Business. Polymarket Might.
A Kalshi spokesperson says the platform won’t offer a market predicting whether the Supreme Court will hear a case regarding sports prediction markets or a market on the decision in that case.
In 2010, US scientists released dye into Montana’s Missouri River and tracked it across 41.2 miles; one reservoir held the plume for 8.2 hours, helping predict chemical-spill timing
A river can carry a contaminant far beyond the point where it enters the water, but predicting exactly how quickly that material will travel is not always straightforward. In 2010, scientists with the U.S.
Predicting Kentucky’s 2026 Record
It's a new era for Kentucky football as Mark Stoops is out after 13 seasons in Lexington. The Cats replaced the league's elder statesman with the youngest coach in the SEC, 36-year-old Will Stein. A Louisville native, Stein played college football for the Cards while his father played for Jerry Claiborne and the Wildcats in …
What the Penguins could look like in 2028
After last week’s look at our 2024 outlook about predicting the 2026 Penguins, let’s take the impossible stab at looking at what the 2028 Penguins could be working with. This task is tough, since barely any players are under contract for the future. Pittsburgh only has six players under contract for 2028-29 as of right […]
Radiologists develop calculator for predicting imaging no-shows
Outpatient radiology no-shows can delay timely diagnoses and exacerbate healthcare disparities, resulting in significant operational and financial burden, experts wrote Aug. 27 in JACR.
Final 53-Man Roster Projection for Seahawks Following Preseason Finale
Taking one more stab at predicting the Seahawks' final roster.
Cowboys roundtable discussion: Predicting the 53-man roster
Here is our latest roundtable with a panel of BTB writers giving us their answers to this week’s questions
Predicting the 38 roster moves Broncos will make this weekend
The Broncos will need to make 38 moves to get down to a 53-man roster. We predict each move here.
New TAVR risk score could help predict poor functional outcomes among older patients
Predicting complications is one thing—the team behind this study hoped to anticipate when patients are more likely to see a minimal benefit from TAVR.
SJSU researchers join $30M NSF Science and Technology Center to tackle turbulence NewsCenter | SJSU
San José State University researchers and students will have the opportunity to help tackle one of science's most difficult problems as part of a new $30 million National Science Foundation Science and Technology Center focused on understanding and predicting turbulence, with applications including fusion energy, astrophysics and hypersonic flight.
Predicting data centers’ energy and health impacts | Harvard T.H. Chan School of Public Health
A new project co-led by Harvard Chan School’s Francesca Dominici aims to predict the energy and health impacts of proposed data centers.
Bill Gates Says AI Needs A Transition Plan. Business Doesn't Have One Either.
Bill Gates's new essay urges urgent global deliberation on AI, predicting a turbulent era where policy choices now will determine if it becomes an equalizer or a source of injustice.
Predicting where Cowboys 53-man roster currently stands
What is your boldest prediction for the 53-man roster?
Michigan State football 2026 game-by-game predictions: Rutgers
Predicting every Michigan State football game for the 2026 season -- next up is the regular season finale against the Rutgers Scarlet Knights
Michigan State football 2026 game-by-game predictions: Oregon
Predicting every Michigan State football game for the 2026 season -- next up is a home conference game against the Oregon Ducks
Reimagining how scientists study the chemistry of the air
Professor Victoria Barber and doctoral student Cooper Crabtree are spearheading Keck Foundation-funded project charting a path toward better understanding atmospheric oxidation. by Álvaro Castillo, UCLA College of Letters and Science From the vantage point of Victoria Barber, a UCLA assistant professor of chemistry and biochemistry, understanding the chemical reactions that shape air quality and climate are among the most pressing scientific challenges of our time. And thanks to a recent grant from the W.M. Keck Foundation, she and doctoral student Cooper Crabtree will spearhead a new research project exploring exactly how pollutants form in the atmosphere. Specifically, the project will examine how volatile organic compounds transform through atmospheric oxidation and explore how pollutants, like smog, form in the atmosphere. VOCs are released by sources ranging from trees and wildfires to vehicle exhaust pipes and consumer products such as cologne and perfume. As they undergo atmospheric oxidation, they can transform into a wide range of other compounds. Anyone in Southern California can attest to the urgency of this area of research — for example, in late July of this year, Los Angeles County was under an active ozone pollution advisory for almost a full week. While many people associate ozone with the protective ozone layer high in the stratosphere, ground-level or tropospheric ozone is a harmful secondary pollutant formed through atmospheric oxidation. Understanding how VOCs transform into pollutants like ozone is therefore critical to improving air-quality forecasts and informing strategies to reduce exposure. “My group is focused on trying accelerate our understanding of these networks of reactions so that we can do a better job of predicting how those pollutants form,” Barber said. “When we make decisions about how we might alter emissions, we can understand how that’s going to influence the production of these downstream pollutants.” With support from the W. M. Keck Foundation, Barber and Crabtree are developing new experimental approaches that will combine — and improve — techniques to study hundreds of chemical systems more efficiently than traditional methods allow. Instead of spending years decoding a single VOC, the project seeks to dramatically expand the pace and scale of discovery. The grant comes at a particularly important moment for environmental research. Barber, who joined UCLA in 2023, says funding for climate and air-quality research, especially for early career scientists, has become increasingly difficult to secure, a challenge compounded for ambitious projects that require building entirely new research infrastructure. The Keck Foundation’s support, Barber said, provides the flexibility to pursue bold early-stage, high-risk ideas that may be more difficult to fund using conventional federal funding sources. “It’s really, really hard to do environmental research under the current federal paradigm,” Barber said. “By stepping in and providing stable and flexible funding to explore this new idea, the Keck Foundation is making a huge difference to my research program.” In addition to funding early-career faculty, the Keck Foundation’s support is also focused on empowering graduate students like Crabtree in their scientific growth. The project gives Crabtree the opportunity to help develop an entirely new experimental approach to studying atmospheric chemistry — an experience that will provide him with valuable technical skills, scientific training and preparation for the next stage of his career. Stable funding also allows doctoral students like Crabtree to devote themselves more fully to research rather than balancing their scientific work with additional teaching responsibilities needed to cover funding gaps. “Getting to devote more of my time to research this past school year has greatly improved the pace and quality of our experiments, data analysis and planning for our future work,” said Crabtree, who is pursuing a Ph.D. in chemistry. “I feel very lucky — especially amid the current uncertainty surrounding scientific funding — to be able to continue exploring exciting knowledge gaps in our field and growing as a scientific researcher.” For Barber, mentorship is among the most rewarding and important aspects of her role as a faculty member. “Our jobs as faculty are to do good science and make good scientists,” she said. “I believe the Keck Foundation shares this belief and sees the potential positive impact this project can have.”
Patriots Hit With Brutal Playoff Prediction Ahead of 2026 Season
The New England Patriots went from four wins to the Super Bowl during Mike Vrabel’s first season in charge.Bleacher Report is predicting a much different ending in Year 2.Brad Gagnon made the Patriots the key part of his AFC East entry in an list of one bold prediction for every NFL division.His forecast was that […] The post Patriots Hit With Brutal Playoff Prediction Ahead of 2026 Season appeared first on HEAVY.
Michigan State football 2026 game-by-game predictions: Nebraska
Predicting every Michigan State football game for the 2026 season -- next up is the Spartans' conference opener against the Nebraska Cornhuskers
Predicting the Titans' Starting Lineup Following Preseason Win vs. 49ers
What I currently believe the Tennessee Titans' starting lineup will look like ahead of Week 2 of preseason work.
Michigan State football 2026 game-by-game predictions: Eastern Michigan
Predicting every Michigan State football game for the 2026 season -- next up is a home matchup against the Eastern Michigan Eagles
Michigan State football 2026 game-by-game predictions: Toledo
Predicting every Michigan State football game for the 2026 season, starting with the season-opener against the Toledo Rockets
Predicting which WRs make Cowboys 53-man roster
Which wide receivers do you think are going to make the 53-man roster?
Deep learning shines at predicting incidental lung nodules' severity
Experts believe AI's performance on a diverse dataset gives it an edge over other prediction models in real world settings.
Predicting Winners of 49ers Biggest Position Battles
Position battles are one of the most interesting things about training camp and the preseason. The San Francisco 49ershave an elite roster, but that doesn't mean some spots still aren't being fought for. Since then, we've seen several more practices and we've had a depth chart release.
Saber's newest game trailer takes a shot at Gearbox's CEO, if you look closely
The first hint that something might be up with the recent debut trailer for Saber Interactive’s Rideshare Stimulator is an unusual choice of words—aside from that second one in the game’s title. “Don’t take your passengers too seriously,” the trailer’s narrator says, as he describes this upcoming game. It a car game about the gig work of driving eccentric people to their destinations, a riff on Crazy Taxi. And then, he says: “When I think I’ve met the randiest of passengers, someone even stranger gets in.” “Randiest”? That suggests “randy,” which usually means having strong sexual desire. Yet none of the oddball backseat occupants featured in the trailer seem particularly lustful. One is an old man who considers his grandson a failure, another shares the theory that birds might control traffic lights, another says he’s banned from an aquarium. A little later, there’s a license plate, shown 63 seconds into the trailer, on the front of an SUV: USB DRV It’s a Texas plate. The symbol between those letters is a cog wheel. If you know, you know. That’s a reference to Texas-based Borderlands game development studio Gearbox Software (their logo features a cog wheel). More specifically, it’s a reference to Gearbox’s CEO Randy Pitchford, who in 2018 found himself explaining the nature of video he’d saved on a USB drive that was found at a Medieval Times restaurant before being returned to the studio: “It was ‘barely legal’ porn. This girl’s handle was ‘Only 18.’” The “girl” in the video had committed a solo sex act that Pitchford, an avid practitioner of magic, found remarkable. “I realized, this is not a sex worker…This is a fucking magician.” Back then, the USB drive was central to competing lawsuits against Gearbox by the studio’s former lawyer and by Gearbox against him. A settlement in late 2019 “exonerated” Pitchford, per the Hollywood Reporter. The USB story has resurfaced at times, now in a trailer from a company that not long ago was corporate brethren with Gearbox. Saber vs. Gearbox The head of Saber told Game File that the reference is payback. “The dig is because Randy took shots at Embracer in Borderlands 4,” Saber CEO Matt Karch told me when I asked him about the license plate. “Without Embracer, Randy is performing magic tricks at birthday parties for a living.” Having interviewed Karch during a cross-country flight in late 2024, I can confirm that Karch was unimpressed with Pitchford during their time both working in the Embracer group. I’d approached him not out of surprise that there was animosity but that it was manifesting publicly now. Gearbox was founded in 1999, worked on a port of Halo early on, and developed hit series such as the loot-based sci-fi shooter Borderlands before it was purchased by The Embracer Group in early 2021 for $363 million (with a possible earn-out of over $1 billion, if certain targets were hit by 2027). Saber was founded in 2001, worked on a remaster of Halo early on, had a big hit with zombie shooter World War Z and was purchased by Embracer in early 2020 for $150 million, with a potential earn-out of up to $375 million. For a few years, the Embracer group was a voracious acquirer of game studios. Then, as investment dried up, it choked. In March 2024, Embracer sold Saber to an investment company controlled by Saber CEO Matt Karch, and it sold Gearbox in an all-stock deal to long-time Borderlands publisher Take Two Interactive. Other studios were shut down. Hundreds of developers were laid off. Gearbox didn’t say much about their Embracer experience, nothing too direct, at least. In the summer 2024, Pitchford told reporter and occasional Game File contributor Nicole Carpenter that Borderlands 4’s story was in some way thematically connected to Gearbox’s experience at Embracer: “There’s this cultural and emotional shift in me, personally, and at the studio. What does it mean to trade some autonomy for organization?” When Borderlands 4 came out, there was something stranger: the matter of “Embracer’s Bluff,” a location in the game featuring an AI-powered toilet and a large trash dump, according to a detailed Kotaku account of the place. Gearbox never commented on it; Take Two never got back to me about it when I asked them last year. By contrast, since Saber exited Embracer, Karch has been one of Embracer’s biggest defenders, casting their management as well-meaning and supportive despite the layoffs and studio closures that resulted from their excessive expansion. Like others, Saber’s Karch saw Embracer’s as a shot. With Rideshare Stimulator’s trailer, he’s returned fire. “It’s amazing to me how fast people forget those who went above and beyond for them,” Karch told Game File. A rep for Gearbox did not comment by press time. Game File is a reader-supported publication. Your backing makes my reporting—including any coverage of trailer-based beefs—possible. Good news! I’m currently running Game File’s first big sale of 2026. You can get a one-year subscription for 23% off. Click here to take advantage of the limited-time offer. And thank you for your support! Item 2: In brief… 🚫 Wal-Mart has laid off the staff of Restart, a games media outlet launched in 2024, Aftermath reports. 🟥 A GTA VI preview is on the way, at last, via an “extended look” that will premiere, unusually, on Netflix at 3pm ET on August 27, then officially go live elsewhere six hours later. Last week, Game File noted that Take Two label Rockstar Games is overdue for showing off GTA VI, based on the timing of the initial hands-off previews of GTA V and Red Dead Redemption 2. During a call with investors, Take Two CEO Strauss Zelnick said pre-orders for GTA VI were “unprecedented and astonishing,” but added the company can’t predict how many of those pre-orders represent bonus sales vs. sales that otherwise would have been made at launch. During the same call, Zelnick was noticeably bullish on the future of playing games over streaming cloud connections (predicting wider adoption in three or so years). He sounded unbothered by Sony’s plans to stop making discs for new games (he said the business is 90% digital already and predicted that there could still be limited edition physical editions of games “in the same way there’s still vinyl in the recorded music business.”) 👀 Take Two wrote off $43 million in their spring quarter after deciding “not to proceed with further development of an unannounced title in its pipeline from a third-party developer.” 🤔 Some rare age-demographics from a big publisher: Capcom recently told investors that “users in their 20s account for approximately half of the users of both Pragamata and Resident Evil Requiem.” Item 3: The week ahead Tuesday, August 11 Game releases: The Elder Scrolls IV: Oblivion Remastered (Switch 2; already out for PC, PS5, Xbox) continues the Bethesda strategy of putting Elder Scrolls games on everything; Royalty Free-For-All is a Smash Bros.-style fighting game featuring public domain characters such as Mother Goose brawling with Oliver Twist in a stage based on the original Little Shop of Horrors movie. Wednesday, August 12 Game release: Pro Jank Footy (PC, console) is an arcade-style Australian Rules Football game with increasingly ridiculous rules, the more you play (I enjoyed the Steam demo) Thursday, August 13 Game release: Super Mario Sunshine (Switch 2, originally released in 2002 on the GameCube) is released for Switch 2’s Nintendo Switch Online service. This game is the black sheep of 3D Mario games. It’s the successor to the breakthrough Super Mario 64 and the rare Mario game built around a single (vacation resort) theme. Mario’s got a water-spraying backpack, a Yoshi pal and a lot of blue coins to collect.
Predicting the top 5 franchises in all 4 major sports leagues over the next 50 years
Who will be the best team in every league over the next 50 years?
Formula One is lagging other sport stocks. Why analysts think it's poised to race ahead
As the sports sector remains resilient among consumers, analysts are predicting big gains for this racing league.
Predicting Georgia Bulldogs Record in 2026 Regular Season
The Georgia Bulldogs will try to get back to the College Football Playoff.
Lions’ Jameson Williams drops ‘unstoppable’ prediction for Drew Petzing offense
Lions wide receiver Jameson Williams is predicting big things for the offense under new coordinator Drew Petzing
Predicting How Many Sacks Montez Sweat Will Have in 2026
One player on the Chicago Bears that doesn’t get talked about nearly enough is Montez Sweat. With the Bears offense now being the strength of this roster, Sweat isn’t mentioned in those conversations for the best player on the team. Part of that also likely plays into the fact that at 29 years old (turning 30 on September 4th), Sweat may not be in Chicago for that much longer.
How children talk can indicate risk for future mental health problems
Linguistic models that analyzed the words children used when talking about stressful events were better at predicting future mental health problems than a panel of human experts.
When it comes to predicting the future, why are TV writers better than politicians?
From BBC drama The Rapture on the climate crisis to Apple’s Criminal Record on the rise of the far right, culture often sees what politics fails to, writes Zoe Williams
Where will the Lions’ offense rank in 2026?
Predicting where the Detroit Lions’ offense will rank for the 2026 NFL season.
Predicting the Browns 53-man roster as training camp opens
The Cleveland Browns have opened training camp, predicting their initial 53-man roster with some tough decisions
Predicting rushing yards from Cowboys RB Javonte Williams in 2026
How many yards do you think Javonte Williams will rush for?
Heat stroke, exhaustion biggest RAGBRAI concerns for county public health
The National Weather Service is predicting that Marshall County’s temperature and heat index – 92 degrees with a heat index of 101 – will persist and possibly increase on Monday. The high temperatures felt across the state will greet RAGBRAI riders as they start the journey on Sunday in Onawa. Once they reach Marshalltown on […]
Detroit Lions fans predicting career season for Jahmyr Gibbs
Detroit Lions fans believe 2026 will be a career season for RB Jahmyr Gibbs.
Generations of Health: Lisa Boyd, PA, Discusses the Power of Family Medical History
Your family shares more than memories; they pass down a genetic blueprint that can shape your health for years to come. Lisa Boyd, PA-C, with CaroMont Family Medicine in Dallas, explains why knowing your family medical history is one of the most powerful tools in preventive healthcare. From predicting risk before symptoms appear to guiding smarter screening schedules, this information helps you and your care team make more informed decisions. Learn how to start the conversation, what conditions have hereditary links and when genetic testing may be the right next step for you.
Steelers training camp: Projecting the Steelers first offensive depth chart
The Steelers will release their first official depth chart in a few weeks and we take a shot at predicting what the offense will look like.
Scientists Used AI to Find Hidden Earthquake Signals Along the San Andreas Fault
Scientists used to think so-called “slow slip events” were “theoretically impossible.” Now these subtle tectonic shifts could be the key to predicting future earthquakes.
Browns roster: OL depth chart and expectations
Cleveland Browns roster sees a remade offensive line under new coach George Warhop. Predicting 2026 for Spencer Fano and co.
GTA VI May Be Limited to 30 FPS on Current-Gen Consoles
With the launch of Grand Theft Auto VI rapidly approaching, rumors surrounding the game's launch have been circulating, with some of those predicting that the game's launch will result in a console hardware shortage, more recently, however, Digital Foundry predicted that the new GTA game may not be ...
Predicting winners for NFL's remaining QB competitions: Who wins starting gigs?
Five NFL teams are set to enter training camp with quarterback competitions lingering. Who will emerge as QB1 in each battle?