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ANF Investigates: Allegiance Health plans to sell 2 struggling Acadiana hospitals
Allegiance Health Management plans to sell four financially struggling rural hospitals in Louisiana, including two in Acadiana, at the directive of the Louisiana Department of Health. The two Acadiana hospitals involved are Mercy Regional Medical Center in Ville Platte and Acadian Medical Center in Eunice. Both facilities have dealt with a number of problems, including unpaid payroll taxes, broken equipment, overdue bills, the loss of doctors and staff, and a shortage of critical supplies.
Skydance now runs two of Hollywood’s legacy film studios. A look at the new company, by the numbers
David Ellison’s Paramount Skydance has completed its $81 billion acquisition of Warner Bros. Discovery, bringing two of Hollywood’s most storied legacy film studios under one mammoth media and entertainment conglomerate named Skydance. Now, Skydance must decide how to make the most out of a trove of entertainment assets, including the HBO Max and Paramount+ video streaming services, a film library that includes “Star Trek,” “Barbie,” “Top Gun,” “Harry Potter,” and “Superman,” and two major news organizations, CNN and CBS News. Here’s a look at the new company, by the numbers.
Hochul, AOC stump on data center ban common ground
Less than a month from Election Day, Hochul needs better numbers among city voters, according to recent polls.
Hochul, AOC stump on data center ban common ground
Less than a month from Election Day, Hochul needs better numbers among city voters, according to recent polls.
What record Wall Street numbers could mean for the N.Y. state budget
The report raises a question that has plagued fiscal discussions in recent years as Wall Street has been on a hot streak: What message should state leaders take from it?
Deals: here are the best tablet and smartwatch deals from Amazon's Prime Big Deal Days
We already looked at phones in a separate post. Here we're also including a number of Amazon devices that don't quite fall in the "tablet" category.
Oracle Health Hack Exposes Data of Nearly 20 Million People
Patient names, Social Security numbers, doctors and diagnoses might have been breached in the cyberattack.
Orioles laying off members of business operations
The exact number of employees affected wasn’t immediately clear.
"Choosin' Texas"" knocked out of top spot on Hot 100
NEW YORK - After a record-breaking 24 weks atop the Billboard Hot 100, Ella Langley's "Choosin' Texas" is no longer number one on the list.
The Best Taylor Sheridan Shows By Rotten Tomatoes Score, From ‘Tulsa King’ To ‘Mayor Of Kingstown’
Taylor Sheridan rules the roost at Paramount, and has now gotten a number of his shows on Netflix as well. Here are the best ones by Rotten Tomatoes score.
Jesse Marsch calls USA politics 'big talk' as Mauricio Pochettino praises Canada coach
Canada manager Jesse Marsch calls USA politics "big talk" while US coach Mauricio Pochettino praises his opposite number before Tuesday's game.
Bears Break Record With 34 First Downs As Jets Stumble
The Jets ran 32 plays while the Bears got 34 first downs. See the shocking numbers behind Sunday's 23-12 loss and what it means for the season.
'Captaincy ends': Harmanpreet Kaur’s top five achievements as India captain
Harmanpreet Kaur has stepped down as India’s all-format captain after a landmark leadership stint. Her tenure featured India’s maiden ODI World Cup title in 2025, a record number of T20I wins as captain, four Asia Cup triumphs, the milestone of captaining 150 T20Is and a historic Test victory at Lord’s. She now returns to playing cricket.
Roob's Eagles Stats: How bad was that loss? All the shocking numbers are here
The stats aren’t pretty for the Eagles after their loss to the Rams.
Democrats are taking big chunks of GOP voters in key Senate races, polls show
President Donald Trump has never had worse poll numbers with his base than he does ahead of the 2026 midterm elections.
Evaluating Logan Webb's Season for Giants
San Francisco Giants right-hander Logan Webb was an All-Star in 2026, but why do the numbers tell a different story?
Chargers' Omarion Hampton numbers may shock you after four weeks
These Chargers running back Omarion Hampton's stats may surprise you over the first four weeks of the season.
Hochul declares emergency over measles outbreak
The governor declared the state of an emergency in an executive order issued Monday, citing a growing number of cases.
Hochul declares emergency over measles outbreak
The governor declared the state of an emergency in an executive order issued Monday, citing a growing number of cases.
Democrats expand target list as polls point in their favor
Democrats are expanding the number of Republican-held House seats they hope to flip in November as polling moves in their favor ahead of the midterm elections. The Democratic Congressional Campaign Committee announced Monday that it added six candidates to its “Red to Blue” program, bringing the total to 46. The program provides candidates with strategic […]
Northwell Health lays off 'limited number' of workers across the organization
The health system, which employs over 100,000 statewide, did not specify where cuts were made.
Offensive Line Looks Offensive: Spartans Rank Last in Sacks Allowed
From personnel shifts to coaching failures, a crumbling front wall has left the Spartans reeling as record-breaking sack numbers threaten to derail the Pat Fitzgerald era.
Pixel 12 series leak allegedly reveals model numbers, display specs, no wide Fold
A new leak allegedly reveals Pixel 12 display specs, model numbers, and helps confirm Google isn't launching a wide Fold.
Keller on what happens when all politics is actually national
President Trump's Massachusetts numbers and what they mean for GOP candidates
Are aliens real? Here’s what science can and can’t prove
Some scientists believe the sheer number of stars, planets and potentially habitable environments in space makes extraterrestrial life plausible. But plausibility is not proof. Despite decades of sear...
Jobs in health care. Jobs for women. The US labour market is segmenting. Chernobyl’s radiation and Lenin’s love of literature.
Thank you for opening your Chartbook email. Elmer Bischoff, Two Figures at the Seashore, 1957 The only really dynamic job-creator in the US economy is health care: The largest crunch has come in Federal government, which has shed 2.7 m jobs. Source: tchouvkov on Twitter Tech is struggling. [ Joey Politano 🏳️🌈@JosephPolitano The US tech sector continues bleeding jobs in official data released today—overall, employment decreased by 17k last month and is down 69k over the last year That's nearly as bad as the worst of the 2024 tech-cession, and much worse than the 2022 boom or even pre-2020 norms 12:42 PM · Oct 2, 2026 · 15.2K Views 15 Replies · 47 Reposts · 390 Likes ](https://x.com/JosephPolitano/status/2106001807847940232?s=20) The new jobs are all for women. [ Justin Wolfers@JustinWolfers I'm not sure who saw this coming, but so far nearly all the jobs created during the second Trump administration have gone to women. 1:09 PM · Oct 2, 2026 · 33K Views 70 Replies · 146 Reposts · 644 Likes ](https://x.com/JustinWolfers/status/2106008723533533601?s=20) Meanwhile, real wages are being eaten up by modest over-target inflation. [ Heather Long@byHeatherLong The financial pain is real: Wage growth fell to 3% (y/y) in September. That's the lowest in 5 years. Wage growth: 3% Inflation: ~3.4% Inflation has eaten up all wage gains for the average worker since April. Many people are having to make hard choices about what to buy and what … 1:24 PM · Oct 2, 2026 · 37K Views 24 Replies · 275 Reposts · 533 Likes ](https://x.com/byHeatherLong/status/2106012367712620728?s=20) HEY READERS, THANK YOU for opening the Chartbook email. I hope it brightens your day. I enjoy putting out the newsletter, but tbh, what keeps this flow going is the generosity of those readers who clicked the subscription button. If you are persuaded to click, please consider the annual subscription of $60. It is both better value for you and a much better deal for me, as it involves only one credit card charge. Why feed the payments companies if we don’t have to. Subscribe Elmer Bischoff, Bathers, 1960 Americans are disillusioned with higher ed. For contributing subscribers only. Subscribe Where the Chernobyl radiation went. h/t Simon Kuestenmacher aka simongerman600 How Lenin’s love of literature shaped the Russian Revolution - Tariq Ali This, then, was the intellectual atmosphere in which Lenin came of age. His father, a highly cultured conservative, was the chief inspector of schools in his region and much respected as an educationalist. At home, Shakespeare, Goethe and Pushkin, among others, were read aloud on Sunday afternoons. It was impossible for the Ulyanov family – “Lenin” was a pseudonym adopted to outwit the tsarist secret police – to escape high culture. At high school, Lenin fell in love with Latin. His headteacher had high hopes that he might become a philologist and Latin scholar. History willed otherwise, but Lenin’s passion for Latin, and taste for the classics, never left him. He read Virgil, Ovid, Horace and Juvenal in the original, as well as Roman senatorial orations. He devoured Goethe during his two decades in exile, reading and rereading Faust many times. Lenin put his knowledge of the classics to good use in the time leading up to the October revolution of 1917. In April of that year, he broke with Russian social-democratic orthodoxy and, in a set of radical theses, called for a socialist revolution in Russia. A number of his own close comrades denounced him. In a sharp riposte, Lenin quoted Mephistopheles from Goethe’s masterwork: “Theory, my friend, is grey, but green is the eternal tree of life.” Source: The Guardian Elmer Bischoff, The River, 1953 If you’ve scrolled this far, you know you want to click: Subscribe
Ticket Information
The Club has received an allocation of 2285 tickets, including 12 wheelchair bays and a number of tickets for ambulant fans.The wheelchair section is located in the home section of the Red Bull Arena....
Independent candidates hope to shake up status quo, give Oklahoma voters alternative option
Frustration with mainstream political parties prompted a number of independents to file for office.
Democrats Expect Record Number of Women in Party in House After Midterm Elections
Democrats are increasingly confident they will have a record number of women serving in the House next year, after backing women in competitive districts they are now positioned to win.
Northwell Health eliminating “limited number” of positions
The organization says the moves were necessary to maintain the stability of the organization in the currently challenging healthcare landscape.
Sisters in Birth launches vocational school to improve Mississippi’s maternal health numbers
As Mississippi ranks last in the nation for infant and maternal health, a nonprofit is launching a vocational school to train the birth workers it says can help change that.
Rodri Studied Business by Day, Played for Villarreal by Night
Rodri combined morning training at Villarreal with afternoon business administration lectures in Castellon, cycling between the two without his flatmates knowing he played professional football. They found out only when he appeared on television wearing Villarreal’s number six shirt, a moment Rodri has called the best period of his life. The 30-year-old turned down a…
Caterpillar is a Great Business. But is CAT Stock a Great Buy?
Caterpillar Inc. (NYSE:CAT) is having a strong year. Construction and mining demand remain solid, infrastructure spending is creating more opportunities, and the rapid buildout of data centers is opening another market for the company’s power equipment. The latest numbers make that clear. Sales and revenues reached a record $20.5 billion in the latest quarter, up […]
Study says San Antonio's mental health care access is worst in the U.S.
San Antonio tied for the worst access to mental health treatment facilities nationwide, based on travel distance and the number of nearby options, according to a recent study.
US removes all Air Force bombers from Fairford base amid terrorism concerns
The United States has moved long-range bombers back to their American home stations days after the British government arrested a number of individuals in connection with an alleged Iranian plot to target the UK airbase where the planes had been stationed.
Sony Digital Camera Model Numbers Explained: Bigger Isn't Always Better
Everything you need to know about Sony's alphanumeric naming schemes.
Christian Benford, Six Others Inactive For Bills Against Patriots
The Buffalo Bills have announced their inactives for Week 4 against the New England Patriots, including number one cornerback Christian Benford and six others.
Breast Cancer Awareness Month in TX: The resources, events, and numbers to know
Experts say this month is about screening and early detection. One in eight women in America will be diagnosed with breast cancer in her lifetime, according to the National Breast Cancer Foundation.
How Americans’ Financial Health Is Faring In The “K-Shaped” Economy
Hey all, Jason here. Money20/20 is still two weeks away, but I’ve already started packing (not procrastinating for once!). My calendar is already filling up with various sessions I want to catch, meetings, and of course happy hours, dinners, and other side events. If you’ll be in Vegas and want to catch up, let me know by replying to this email, and we can try to find a time amidst the chaos of the Venetian. A big if not totally unexpected piece of news dropped on Friday: the Independent Community Bankers of America, a trade group that represents smaller U.S. banks, filed a lawsuit against the OCC and Comptroller Jonathan Gould, arguing that the regulator’s move to grant trust bank charters to firms seeking to use them to conduct substantial non-fiduciary activities exceeds the authorities granted to the OCC by Congress. I haven’t had time to fully digest the legal filing or speak to folks in my network about it, but you can expect to see coverage and analysis on it in next week’s newsletter. Subscribe or Support by Upgrading The NerdCon agenda just dropped. It’s stacked. Partner content: Nubank built an AI-first bank. Chime built its own banking core. Figure and Valon are rebuilding the mortgage stack. At NerdCon, you’ll hear from the people behind those bets: what they chose, what they learned, and what they’re still figuring out. The agenda is live, with leaders from Nubank, Chime, OpenAI, Remitly, Mercury, Figure, Valon and more. Follow the mainstage conversations, bring the problem your team is wrestling with to a hands-on workshop, or pull up a chair at a roundtable. Pick your quests. Meet us in San Diego, November 18–20. Fintech Business Weekly readers save 20% with code FBW20. Explore the Agenda Things To Know & Other Good Reads Federal Reserve Board finalizes changes to enhance the transparency and public accountability of its stress test and reduce volatility in its stress test-related capital requirements (Federal Reserve Board of Governors) FDIC Announces Conclusion of Independent Monitorship (FDIC) Modernizing Financial Regulation: Initial Observations from eSLR (Fed Vice Chair for Supervision Michelle Bowman) The Data Version of Godzilla versus Kong: FRED Takes on AI (Fed Governor Christopher Waller) Financing the AI buildout (Brookings) Q3’26: Rules for Banks but Not for Crypto (Fintech Takes Banking) The Inevitability of Local Stablecoins (Lombard Notes) Delusions of AI Governance: The Human-in-the-Loop Comfort Blanket (Fintech Snark Tank) Stripe agrees to acquire Parafin to expand revenue opportunities for platforms and help small businesses grow (Stripe) Listen: Fighting Fraud in the Age of AI, with SEON’s Tamas Kadar (Fintech Business Weekly) How Americans’ Financial Health Is Faring In The “K-Shaped” Economy If there is one overarching theme across the economy and politics in the U.S. at the moment, it’s “affordability.” The term is vague enough to encompass a panoply of factors shaping Americans’ day-to-day lives: rising costs for the hallmarks of being “middle class,” including healthcare, housing, childcare, and education, inflation and rising interest rates, and a job market with the specter of AI hovering over it. At the same time, policy shifts under the Trump administration have resulted in reduced subsidies to those who get health insurance under the Affordable Care Act and new restrictions on qualifying for Medicaid and SNAP, the impacts of which have yet to be fully felt. These factors are contributing to declining consumer confidence and general dissatisfaction with the economy, despite continuing GDP growth and stock market records. This divergence is encapsulated in the idea of the “K-shaped” economy, in which a small proportion of Americans have seen their wealth balloon, while the majority of American households struggle to preserve the lifestyle they have. Perhaps the greatest determinant of which branch of the “K” a household is on is whether their wealth and income are primarily derived from employment vs. from assets. Nearly two decades of low interest rates and, more recently, elevated rates of inflation have benefited asset owners, while those whose income is primarily or solely derived from labor have largely seen real purchasing power stagnate or decline. This is reflected in recent Bureau of Labor Statistics data showing that labor share of U.S. GDP — the fraction of economic output that accrues to workers as compensation in exchange for their labor — dropped to just 52.8% in Q2 2026, the lowest since the BLS began keeping records. In 1947, approximately 2/3rds of economic output accrued to workers; even as recently as 2001, labor’s share of GDP was 64.1%. Against this backdrop, we’ve seen the rise of more credit and credit-like products: cash advance apps, “no-fee” overdraft, earned wage access, and buy now pay later, which are often used as small-dollar short-term borrowing mechanisms to meet immediate consumption needs or pay other bills (eg utilities, cell phone, other debt payments). With the markers of a middle class existence and, increasingly, basic financial stability seemingly out of reach for many, it should be no surprise there’s been an increase in “financial nihilism,” something industry peers like Alex Johnson and Frank Rotman have discussed and analyzed the roots of. The explosion of gambling and gambling-adjacent products and services — often marketed under the guise of being an “investment” — is inextricably intertwined with the rise of financial nihilism. Crypto, sports betting, and, more recently, prediction markets offer an escape or even hope of sorts, like a contemporary, digital version of a scratch-off lottery ticket, while leaving the overwhelming number of people who use such products worse off. Share of Households That Are Financially “Vulnerable” Ticks Up The Financial Health Network’s 2026 Financial Health Pulse® report adds context on how American households are faring. (I linked to this report in last week’s newsletter, but wanted to take time to further unpack the data in the report this week.) The Financial Health Network publishes the report annually, providing insight into how Americans’ financial circumstances are changing over time. The 2026 report is derived from a survey fielded in April and May 2026. The report leverages survey responses to assess indicators of financial health across spending, saving, borrowing, and planning/protecting and to determine a zero to 100 “FinHealth” score. Those with scores between 0 and 39 are considered “Financially Vulnerable,” consumers with scores ranging between 40 and 79 are defined as “Financially Coping,” and those with scores of 80 to 100 are “Financially Healthy.” The report found that moderate improvements in 2025 were reversed, with the share of respondents considered financially “vulnerable” rebounding to 17%. The longitudinal data reflect the impact of pandemic-era programs, like expanded unemployment, cash stimulus payments, and pauses of federal student loan payments. The positive impacts of those programs, as reflected in the Financial Health Pulse reports, had largely disappeared by 2023. While pandemic-era inflation — to be fair, in part caused by the various support and stimulus measures — had come down from as high as 9% in 2022, it has rebounded since the start of Trump’s second term, with tariffs and energy market disruptions owing to the war in Iran pushing prices back up. Specific indicators in the survey that deteriorated from 2025 to 2026 include the share of respondents spending less than their income over the past 12 months, the share paying all bills on time over the past 12 months, the share that have a manageable amount or no debt, the share that are “moderately” or “very” confident their insurance is adequate to cover them in an emergency, and the share that “somewhat” or “strongly” agree that their household plans ahead financially. Unsurprisingly, lower- and moderate-income households are more likely to struggle to pay their bills on time and have any funds leftover to save. The share of low-income households whose income exceeded their spending dropped from 35% in 2025 to 31% in 2026, while the share of upper-income households whose income exceeded expenses remained unchanged at 63%. Households with student loans or revolving credit card debt reported having “a bit more” or “far more” debt than was manageable at rates far higher than those not carrying these types of debts. The share of those with student loan debt indicating their debt load was too high to manage increased from 50% in 2025 to 55% in 2026, while the share of those with revolving credit card debt saying the same ticked up from 51% in 2025 to 54% in 2026. Households that had student loans were markedly more likely to be financially “coping” or “vulnerable” vs. those without student loans. In 2026, 27% of households with student loans were considered financially vulnerable, a jump of 6% points vs. 2025. Households without student loans saw just a 1% point increase (not statistically significant) in those considered financially vulnerable. Households’ perception of the affordability of categories of goods and services paints a stark picture, with less than one-fourth considering higher education affordable, about a third deeming childcare affordable, and less than half viewing healthcare as affordable. Fintech Business Weekly is made possible by the generous support of paying subscribers — bringing you independent analysis of banking, fintech, and crypto without fear or favor. You can support my work by becoming a paying subscriber if you aren’t already. Paying subscribers enjoy: access to the entire archive of nearly six years of newsletters extended versions of the weekly newsletter, with additional content and analysis and (for founding member tier) quarterly personal 1:1 fintech Q&A / strategy calls with me, tapping into my unparalleled knowledge of the intersection of banking and fintech and experience working in the sector, including helping to launch Goldman Sachs’ retail bank Marcus Support Fintech Business Weekly You can also support Fintech Business Weekly by sponsoring a newsletter or podcast, putting you in front of 93,000+ of the most influential decision makers in banking, fintech, and crypto. Learn more about sponsor opportunities or request a media kit by dropping me an email. Democratic Senate Report Highlights How Iran Uses Tether to Evade U.S. Sanctions Iran uses stablecoins, specifically Tether, to evade sanctions, fund regional proxies, and to purchase military drones, a report released last week by the Senate Permanent Subcommittee on Investigations says. The report was authored by committee ranking member Senator Richard Blumenthal (D-CT) and the minority staff. Crypto and stablecoin proponents will often push back on criticism that criminals make use of these assets by arguing that, on an absolute dollar basis, far more illicit funds flow through traditional banking systems and payment rails than via crypto and stablecoins. And while that is likely true, it elides the reality presented in news story after news story: whether state actors — Russia, Iran, North Korea — or criminal groups, those looking to engage in illicit transactions increasingly favor stablecoins and, specifically, Tether (USDT). The report from the Senate Permanent Subcommittee on Investigations released last week adds context to how Iran uses Tether has a lynchpin in its shadow banking system. The report analyzed 846 wallets that have been sanctioned or targeted for seizure, finding that 84% of them transacted exclusively or primarily in Tether. The ability to create near limitless, anonymous wallets and to move funds effectively instantaneously and irreversibly have made crypto a favored financial mechanism for bad actors. Stablecoins solved key drawbacks of bitcoin, namely, the original cryptocurrency’s highly volatile value in dollars. And while Tether (the company) has the technical ability to “freeze” or destroy funds, the company is often limited and reactive in its approach to doing so, the Senate report argues. Tether, which is nominally based in crypto-friendly El Salvador, “has stated that its compliance with OFAC sanctions is ‘voluntary’ and that it follows ‘OFAC guidelines,’” the Senate report says. Owing to these favorable attributes, Tether “became a primary cryptocurrency for Iran, Hamas, Hizballah, and the Houthis beginning in 2023 and has expanded in scale since,” according to the report. Tether’s role in Iran’s shadow banking system, the report says, is enhanced by crypto exchanges like Bybit, Kyrrex, OKX, Gate, and Binance, and through “over the counter” exchanges and hawala networks. The consequences of these financial flows aren’t hypothetical. The Senate report links Tether as a funds transfer mechanism to Iranian proxies in the region, including Hizballah, the Houthis, and Hamas. Tether has also been used to make payments to secure components necessary to manufacture drones, the report says. The report concludes by arguing that “[s]tablecoin issuers with a significant nexus to the United States, particularly those that offer dollar-denominated stablecoins, should be subject to American sanctions law rather than being allowed to hide behind foreign jurisdictions.” Stablecoin issuers like Tether must be held accountable for repeated failures to prevent illicit finance and sanctions violations by law enforcement, the Department of Justice, the Securities and Exchange Commission, and OFAC, the report argues. [Paying Subscriber Exclusive] OUSD Goes Live, Make Your Own Neobank, U.S. Sanctions Russia’s A7 Network As “Transnational Criminal Organization” OpenUSD, the stablecoin issued by the Open Standard consortium that includes Stripe, Visa, Mastercard, core providers, crypto firms, and numerous banks, went live last week. Social commerce platform Whop raised eyebrows in fintech by offering creators on its platform the ability to launch their own neobanks, which the company describes as “great businesses that are easy to run,” in just 15 minutes. And OFAC and FinCEN target Russia’s “shadow banking” A7 Network — more on these stories after the paywall.
Central Mass. by the Numbers, Sunday, Oct. 4
A look at business news in Central Mass. over the past week.
The Newcastle United heroes and villains of the 2020s
Here at The Mag we invited a number of regular/irregular contributors to give us their Newcastle United heroes and villains. Our thanks to David Hutchinson (you can hear Hutch every week on The Mag Podcast, along with Simon and Jamie, discussing all things NUFC) for taking up the challenge.
Mum fundraises to install mental health bench in Wellingborough
The bench includes phone numbers and a QR link that offer support to people in need of help.
Nebraska Football Survives Maryland, Penalties to Stay Undefeated
An odd start and a staggering number of penalties weren't enough to hand the Huskers their first loss of the season.
Jagex Announces RuneScape 4, a New MMO Built in Unreal Engine
Jagex has announced a fourth RuneScape MMO at RuneFest 2026. It currently goes by the working title RS4, though most people are already calling it RuneScape 4. The game is being built in Unreal Engine, and Jagex hasn't said which version. It's the first numbered follow-up since RuneScape 3...
Iowa Football: Numbers That Stood Out From Ohio State Loss
Ohio State won the time of possession battle by 17 minutes, but the real eye-opening stat was Jeremiah Smith recording 200+ yards for the second straight game.
Trump’s spat with GOP lawmaker over Daylight Saving Time
President Donald Trump railed against Sen. Tom Cotton in a series of posts on Saturday, accusing the Arkansas Republican of holding up a bill that would make Daylight Saving Time permanent and encouraging people to call the senator at his cellphone number.
Trump posts GOP lawmaker’s phone number amid spat over Daylight Saving Time
President Donald Trump railed against Sen. Tom Cotton in a series of posts on Saturday, accusing the Arkansas Republican of holding up a bill that would make Daylight Saving Time permanent and encouraging people to call the senator at his cellphone number.
Trump reveals GOP senator’s phone number in battle over daylight saving time
Sen. Tom Cotton, usually a staunch Trump ally, has vowed to oppose efforts for year-round daylight saving time. He reiterated his opposition Saturday.
Trump appears to post Sen. Tom Cotton’s cell number in push to make daylight saving time permanent
The House passed a bill in July to make daylight saving time permanent, and the Senate has yet to take up the measure.
Angels Have Some Intriguing Arbitration Numbers Coming
The Los Angeles Angels have 11 players eligible for arbitration, including a couple of big names.
A growing number of House Republicans privately believe they won’t win the House
Four weeks to Election Day, a growing number of House Republicans privately fear their chances of holding onto the majority are vanishing and have begun focusing on how to limit the size of a potential Democratic wave.
A record number of Native Americans are running in the 2026 midterms
At least 355 Native American and Indigenous candidates ran or are running in local, state and federal primary and general elections this year — a record number.
Apple Says iPhone 18 Pro Max Users With AT&T Cellular Issue Need to Have Device Replaced
Apple today confirmed that a "small number" of iPhone 18 Pro Max users on the AT&T network have experienced an issue that causes the device to lose cellular service, thereby preventing phone calls, text messages, and data from working. Thousands of users complained about the issue across the Apple Support Community and other platforms.
Friday Night Frenzy for Section IV football
GREATER BINGHAMTON, N.Y. (WIVT/WBGH) – Friday night means it is a frenzy when it comes to high school football. Let’s take a look at some of the matchups tonight across Section IV. At 6 p.m. 1-3 Dryden takes on 2-2 Unatego. The rest of the games have 7 p.m. starts, with number one ranked Chenango […]
Apple confirms iPhone 18 Pro Max AT&T cellular issues, affected devices require hardware replacement
Apple has confirmed an issue causing a “small number” of iPhone 18 Pro Max devices on AT&T to lose cellular...
Studying Science in an Anti-Scientific Time
This Chronicle Review Deep Cut was first published in 2025. By Julianne Werlin Thanks for reading The Chronicle Review! Subscribe for free to receive new posts and support my work. Subscribe The last two decades have not been kind to science studies. Already bruised and battered by the “science wars” of the 1990s, by the 2000s sociologists of science — who had long argued that science had to be understood in its human context — were encountering the funhouse-mirror version of their own views in right-wing critiques of climate scientists. It was enough to give some prominent scholars pause. “Was I wrong to participate in the invention of this field known as science studies?” asked Bruno Latour, the most famous sociologist of science in the world, in 2003. “Should we apologize for having been wrong all along? Or should we rather bring the sword of criticism to criticism itself and do a bit of soul-searching here: What were we really after when we were so intent on showing the social construction of scientific facts?” In response, Latour proposed a change of method and attitude. Science studies, now chastened and contrite, would no longer seek to strip facts of their authority, but to enrich and enhance them. What this meant in practice was never fully clear. But his diagnosis of problems resonated, even if his solutions did not. Latour’s exercise in public hand-wringing signaled a shift in mood. By 2016, with the first election of Donald Trump, the idea that skepticism of science was a right-wing position, not a left-wing one, had become a commonplace, discussed eagerly in The New York Times. For liberals, vaccine denial during the Covid era and Trump’s second-term attacks on the funding of scientific research, covered extensively in these pages, added a new urgency to the defense of science on both practical and principled grounds. There was little appetite for a sociology or philosophy of science that emphasized the messiness and missteps of the scientific process rather than its integrity and triumphs. The distinguished historian of science Peter Dear’s new book, The World as We Know It: From Natural Philosophy to Modern Science (Princeton University Press, 2025), which seeks to tell the story of 18th- and 19th-century science for a general public, may seem comfortably remote from these bitter contests. In its 16 short chapters, Dear draws swift, sure sketches of major discoveries from Newton to Einstein, ably guiding the reader through debates on stellar nebulae, animal taxonomy, atomic chemistry, evolution, and other flashpoints in the history of science. But though a work of history, Dear’s book must still negotiate our polarized present. In a blurb on its back cover, the historian of biology Lynn K. Nyhart alludes to the “present moment, when scientific knowledge is being swamped by misinformation and its institutions are under siege.” Dear himself, in his conclusion, refers to the “yard signs” and “bumper stickers” that proclaim “Science Is Real.” One antidote to both anti-science propaganda and to reductive slogans in science’s defense is a robust history and philosophy of science: exactly what Dear’s scholarship has long offered. But his new book illustrates how difficult such work has become. Dear, an emeritus professor of history at Cornell University, is best known as a creative and philosophically minded historian of the Scientific Revolution. His edited volume The Literary Structure of Scientific Argument (1991) analyzed the rhetoric of Galileo’s thought experiments to brilliant effect. Discipline and Experience: The Mathematical Way in the Scientific Revolution (1995) was a major contribution to the analysis of scientific experiments in early modern Europe and beyond, while Revolutionizing the Sciences: European Knowledge in Transition, 1500-1700 (2001), now in its third edition, remains one of the best overviews of the profound epistemological upheavals of 16th- and 17th-century science. But Dear has also ventured into later periods. Nearly two decades ago, in The Intelligibility of Nature: How Science Makes Sense of the World (2006), he turned to the 18th and 19th centuries to sketch a history and theory of scientific knowledge. Aimed at a generalist audience, Dear’s simple prose belied serious philosophical ambitions. Science, Dear argued, has two aspects: “natural philosophy,” the quest to understand the true nature of the universe, and “instrumentality,” the applied skills and technologies that allow us to manipulate the world for human advantage. Both strands are ancient, but the innovation of the phenomenon we call “science” was to yoke them together. As Francis Bacon wrote, “Human knowledge and human power meet in one; for where the cause is not known, the effect cannot be produced,” an insight typically abridged to “knowledge is power.” Or, in Bertrand Russell’s characteristically blunt phrase, science has two functions, “1. to enable us to know things, and 2., to enable us to do things.” So far, so conventional. But Dear took issue with this familiar story in one respect. Bacon’s formula implied that theory and practice could be fused in a single method. In fact, Dear argued, the quest to understand nature and the desire to manipulate it were coupled only loosely. They could come together, but they could also pull apart. Focusing on natural philosophy, the “knowing” half of the scientific circle, he used a series of case studies from cosmology, taxonomy, chemistry, electromagnetism, and quantum theory to show how theories changed over time, in dialogue with practice, but never reducible to it. Take the case of matter, the basic substrate of the physical world. In the 18th and 19th centuries, scientists not only disagreed about what it was, but also about how well it could be known. In 1789, the chemist Antoine Lavoisier dismissed speculation about the atomic composition of chemicals as “discussions entirely of a metaphysical nature,” as he sought to orient chemistry away from philosophical abstraction and toward laboratory results. But in the 19th century, atoms returned with a vengeance in the atomic chemistry of John Dalton, who wanted to explain the underlying structure of nature. It was not just that Dalton and Lavoisier had a different set of experimental results, or even a different theory, Dear showed. What counted as an explanation had changed. In arguing that scientific theories depended on their intelligibility to human beings with complex arrays of beliefs and commitments, Dear was in sympathy with science studies. Key figures such as the sociologist Steven Shapin emphasized the importance of psychological mechanisms like trust in the formation and acceptance of scientific ideas. But in focusing on the scientific pursuit of knowledge, not its politics or economics, Dear resisted the more cynical perspective of some of his colleagues. The Intelligibility of Nature strikes a very different note than Shapin’s collection of a few years later, Never Pure: Historical Studies of Science as If It Was Produced by People With Bodies, Situated in Time, Space, Culture, and Society, and Struggling for Credibility and Authority (2010), to name just one example. Walking a very fine line, Dear depicted science as driven at once by complex social dynamics and by the intellectual power of real discoveries. It was a testament not only to his own acumen but also to the vitality of the field that he was able to do so. Nearly two decades later, The World as We Know It returns to the questions broached in The Intelligibility of Nature. Like Dear’s earlier study, it begins with the Newtonian cosmos and ends with debates between Einstein and Bohr on quantum physics. Beyond its terminal figures, many of the same characters appear in both studies, including the naturalists John Ray and the Comte de Buffon; the chemists Étienne François Geoffroy, Antoine Lavoisier, and John Dalton; as well as Charles Darwin and Michael Faraday, among others. Its subject is nearly identical: As in The Intelligibility of Nature, The World as We Know It considers natural philosophy as opposed to instrumentality, here defined as the “desire to create a picture of what the world is really like — the world as God knows it — rather than simply having instrumental or operational control over it.” The two books also overlap in insights — and sometimes even in language. The reader who has learned in The Intelligibility of Nature that Buffon’s method of classifying animals “reflected his belief in the importance of the senses and empiricism in learning about nature (a doctrine associated with Newton and the philosopher John Locke)” will experience a sense of déjà vu on reading, in The World as We Know It, that the classification “reflects Buffon’s commitment to the epistemological stance of Newton and his philosophical underlaborer John Locke, who stressed the role of the senses in creating natural knowledge.” Later in the passage, we read that, “because of its stress on understanding the ways of life of animals in their environments, Buffon’s approach could almost be labeled (anachronistically) as ‘ecological.’” And again, “an anachronistic way of putting it would be to say that Buffon recommends an ecological mode of understanding.” Likewise, in The Intelligibility of Nature we read of Dalton that he was initially drawn to meteorology, and that: He did a bit of experimental work on these things, especially having to do with the water-holding capacity of gases, but his real interest lay in understanding what, at an underlying natural-philosophical level, was really going on physically.” Whereas, in The World as We Know It: He did experimental work on these things, especially concerning the water-holding capacity of gases — although not at a very refined level quantitatively — but he was continually trying to develop a theoretical conception of what was happening physically. The final full chapter of each book closes on the same resigned note. Intelligibility: These days, most serious work on the natural philosophical underpinnings and implications of quantum mechanics is performed not by physicists but by philosophers of science. Among scientific practitioners themselves, Bohr’s attempt to use instrumentality as sufficient grounds for a respectable science has met with a high degree of success. And again, in The World as We Know It: Bohr’s and Einstein’s concerns are now questions that are mostly discussed by philosophers of science rather than by physicists themselves. The marginalization of these sorts of questions amounts to the demise of natural philosophy, at least in physics, in the 20th century. Quantum mechanics “works,” and that’s good enough for most scientists who encounter it. Examples could be multiplied. When handling the same subject matter, some echoes are inevitable. Scholars should not feel that because they have written “Isaac Newton died in 1727” in one book, in the next they must describe him as perishing, expiring, or meeting his maker. But the repetitions of language and arguments (not to mention six reproduced images) threaded throughout The World as We Know It are more extensive than that. They should have been caught by Princeton University Press or its reviewers, and revised. Because the two books have so much in common, it is easy to see where they diverge. The World as We Know It is a less theoretical work than its predecessor. The sociology of knowledge that organized The Intelligibility of Nature has been reduced in scale and folded into readings and examples. The taut interplay between history and theory, which gave the earlier study so much interest, is there, but it is subtle. In the earlier book, the case studies demonstrated theoretical claims about the character and development of science. In the later work, each narrative of discovery is an end in itself. Insights emerge from the history, but they do not control the organization of the study. With the theory muted, it can be hard to understand the logic uniting Dear’s sprawling history of more than two centuries of scientific knowledge. The 16 brisk chapters cover an enormous amount of material. But the closer the volume edges to comprehensiveness, the more obvious the missing elements become. A chapter on “Institutions and Pedagogy,” describing the birth of the research university, illustrates the problem. Inserted roughly halfway through the book, the unnumbered chapter is designed as an “entr’acte,” in acknowledgement that it does not fit the study’s organization around scientific discoveries. Yet as Dear is well aware, no general history of the development of modern science can bracket its 19th-century institutionalization and professionalization. It was the 19th-century university, after all, that gave us the “scientist,” a term coined by the Cambridge philosopher William Whewell. Dear’s history of scientific discoveries implies a wider social and institutional history, but it remains largely subterranean, only occasionally extruded under the pressure of the narrative. It must be said that the balance is not all on the side of the earlier study. There are some advantages to the more historical, less theoretical organization of The World as We Know It. Dear’s accounts of paradigm shifts are remarkably lucid, no small accomplishment given that they span fields and centuries. He makes excellent use of the wealth of new scholarship on Darwin and his influences, to which he has himself contributed. It is satisfying to see puzzle pieces from Buffon’s natural history, Georges Cuvier’s animal taxonomy, Thomas Robert Malthus’s demography, and Charles Lyell’s geology recombined seamlessly in the Darwinian jigsaw. Likewise, Dear’s discussion of stellar nebulae, divided between chapters two and 15, shows vividly how Newton, Kant, Herschel, and Hubble reimagined insights and observations as they sought to discover whether the diffuse light that filtered through early telescopes was a glowing, gaseous substance or discrete but distant stars. Yet despite such pleasures, the book remains a more modest work than The Intelligibility of Nature. Dear has clearly not changed his views about the history of science. But in the two decades that have elapsed, the discipline and the world around it have changed, making it harder to write a sociologically and philosophically ambitious history of science for the general reader. That is a shame, because in the age of Silicon Valley and biotechnology, both the reciprocity and the tensions Dear identified between the epistemological and instrumental ambitions of science are more evident than ever. In recent years, some of the most exciting new books on the history of science in early modernity have focused precisely on this pressure point. Important studies such as Pamela H. Smith’s From Lived Experience to the Written Word (2022), James Poskett’s Horizons: The Global Origins of Modern Science (2022), and Vera Keller’s The Interlopers: Early Stuart Projects and the Undisciplining of Knowledge (2023) all shed new light on how early modern science negotiated the relationship between its instrumental and epistemological ambitions, or in Russell’s phrase, knowing and doing. There is every opportunity for a philosophically informed approach to draw new insights from this wealth of material. Dear, unfortunately, has not done so in The World as We Know It. But for future scholars of the history of science, his body of work over nearly four decades may provide just the model. Julianne Werlin is an associate professor of English at Duke University. 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Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs
Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share
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Time lost to political haggling means lost momentum for research
While it’s not up to universities to set deadlines for EU institutions, “lost time” in the run-up to the launch of the next Horizon Europe would translate into “lost momentum” for universities, according to Dag Rune Olsen, president of the Young European Research Universities Network.“I think it's important to have [the EU budget] in place in order to be able to work on the research funding mechanisms, because we cannot afford to lose more momentum than we already have,” Olsen told Science|Business in an interview in September, just after EU research lobbies gathered in Brussels to push for a €200 billion budget for the next Horizon Europe programme.A funding gap would mean ramping down research activities, said Olsen. “You can do that quite swiftly, that’s not a problem, but ramping up again is much more difficult.”The last-minute push for an ambitious budget, and for a timely adoption of the research programme, comes at a time when the richest EU states have teamed up to call for significant cuts to European Commission’s proposal for the next multiannual budget, which allocates €175 billion for Horizon Europe. At the same gathering of research associations in September, the European Parliament’s budget rapporteur warned that the EU will need to raise its own taxes, otherwise political pressure and tighter national budgets will translate into a limited EU budget with a less ambitious envelope for research. The research sector hopes EU institutions will reach timely agreement on the budget and on Horizon Europe, but progress has been slow. Legislative progress has been delayed, partly because the European Parliament’s budget committee is still haggling over how to apply new EU-wide spending rules, known as the Performance Framework Regulation, and partly because EU governments have yet to agree on the size of the next EU budget. EU research Commissioner Ekaterina Zaharieva told Science|Business in July that she was hoping for an agreement on Horizon Europe by the end of 2026, but the timelines have been pushed back significantly, with the Parliament now aiming to announce its official position on Horizon Europe only in November. Avoid the funding gapAccording to Olsen, delayed EU funds could prompt universities and researchers to move on and do something else, potentially jeopardising years of work building consortia and collaborations. “If funding is interrupted, the networks fall apart in just a few months,” he said. Olsen also noted that an interruption would affect junior researchers first. PhD students and postdocs are on shorter term contracts and universities risk losing them if funding for EU projects is interrupted. Related articlesEU own resources ‘essential’ for future research budget, says leading MEPParliament haggle over EU-wide spending rules delays vote on Horizon EuropeZaharieva hopes for a Horizon Europe deal in 2026Universities usually have more employees, permanent and short-term staff, than they can cover with national funding, and external funding is essential to keep them all on the payroll. In case of an EU funding gap, “there will be a huge number of people that might end up without any contracts,” he said. Apart from the money issue, Olsen said EU projects forces universities to collaborate more which, in turn, increases the quality of teaching and research. In case of a funding dip, people will look around for opportunities elsewhere, in the private sector or abroad. “And then then you have to recruit again, and it's a tedious business,” said Olsen. “A gap is not a good idea, it's actually a waste of money.”According to Olsen, the difficult political context should encourage universities to make a stronger case for the EU increasing research funding, as universities can deliver on competitiveness, technological sovereignty, security and defence. “The reason why we ask for substantial investments in research is exactly what the Commission, what Europe, the Parliament have been discussing,” he said. “You really need to invest in order to thrive in the longer run.”Focus on the member statesBut EU and national R&D expenditure hasn't kept up with the times. EU governments have failed to reach a spending target set almost 25 years ago. Only six EU countries spend 3% or more of their GDP on R&D. Asked whether universities should put more effort into convincing the governments to ramp up their own spending, but also to support a strong budget for Horizon Europe in the ongoing budget negotiations, Olsen said “the answer is yes.”“We are very actively encouraging our members to talk to their ministries in order to enlighten them about the joint effort,” he said. The network is made up of 25 universities from across Europe, all established in the past 60 years or so.Who will call the shots?Budget and timing issues aside, the Parliament’s research committee has been locked in behind-the-scenes negotiations over the future structure of Horizon Europe, with MEPs disagreeing on the degree to which its collaborative research should be governed by councils of experts.The European Parliament’s lead rapporteur on Horizon Europe wants councils of independent experts to decide on the funding agenda, but the Commission, the Council, and parts of the Parliament disagree. For Olsen, it is normal for politicians to point at the big challenges, but when they start detailing how those challenges should be solved, the endeavour “fails utterly.” He does not necessarily think that “bureaucrats who don’t know the field” would be “much better at it” either. “There has to be a combination” of broad political directions and bottom-up implementation, Olsen said.
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.
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UN Decade of Healthy Ageing midpoint report finds progress, calls for greater investment
New evidence in the Secretary-General's report to the 81st UN General Assembly, prepared by the World Health Organization (WHO) in coordination with the UN system, finds more countries acting on healthy ageing than ever before – but longer lives will not become healthy, dignified ones without faster, more sustained investment at country level.(NEW YORK, 28 September 2026) The Secretary-General transmitted to the 81st session of the UN General Assembly the mid-term progress report on the UN Decade of Healthy Ageing (2021–2030), marking the midpoint of the ten-year global effort to improve the lives of older people. The report was prepared by the World Health Organization (WHO) in coordination with the UN Inter-Agency Group on Ageing and with inputs from thirteen UN entities, the World Bank Group and civil society partners. It finds real progress in countries – and persistent gaps that must close before 2030.The number of people aged 60 and over passed 1 billion in 2020 and is projected to reach 2.1 billion by 2050, with the fastest growth in low- and middle-income countries. Longer lives are not automatically healthy ones: globally, the gap between life expectancy and healthy life expectancy at age 60 widened between 2000 and 2023, and an estimated 71% of excess deaths from COVID-19 between 2020 and 2023 were among people aged 60 and over. “Longer lives are one of humanity’s great achievements, but we cannot congratulate ourselves while leaving millions without health and support,” said Dr Pascale Allotey, Director, Department of Sexual, Reproductive, Maternal, Child and Adolescent Health and Ageing, WHO. “The first half of the Decade has shown what is possible. The second half must be about scaling and financing the progress to meet the needs and rights of older persons.”Real progress, unevenly sharedThe report finds that more countries than ever now have legislation against age-based discrimination – up from 44.5% in 2018 to 57.7% today – and over half now have national long-term care policies, up from 49% in 2023 to 56.7%, dedicated programmes to build age-friendly environments (54.6%), and comprehensive health and social assessments of older people (54.6%). New WHO guidance on services for long-term care and for Integrated Care for Older People (ICOPE) delivered in communities is enabling systemic change as an increasing number of countries incorporate these services within national universal health care benefit packages. A host of UN agencies and other partners support training, increasing health workforce competencies and use of digital health tools.“This report shows the Decade of Healthy Ageing is working,” said Dr Ritu Sadana, Head of the WHO Secretariat for the UN Decade of Healthy Ageing. “More countries are legislating against ageism, providing integrated care, strengthening long-term care systems, and creating age-friendly environments than ever before, in all regions and income levels. But progress is uneven and in one area, regressive: fewer countries report active multi-stakeholder forums on ageing, down from 53.1% in 2020 to 43.3% today. The second half of this Decade must turn commitments into results, in every country.”The financing gap: this Decade's binding constraintFinancing remains the binding constraint: more than a third of reporting countries (33.8%) have very little or no dedicated resources to develop long-term care, with similar shortfalls across the Decade’s other priority areas. Less than half of countries (45.4%) have legislation providing access to assistive devices (including hearing aids, spectacles or rollators), which are key to enabling older people to maintain productive, independent and dignified lives. Only 22.7% of countries can track older people’s health over time – the largest gap across the Decade’s core progress indicators. Nationally representative information is needed in each country, as policies and interventions cannot be designed as if all older adults of a given age share similar needs and capacities. The report calls for sustained investment through national budgets, country-owned plans, development cooperation and innovative financing mechanisms to fully close these gaps by 2030.“The Decade was designed as a whole-of-UN effort, and this report shows it in action,” said Amal Abou Rafeh, Chief of the Programme on Ageing Section at the UN Department of Economic and Social Affairs (UN DESA), and Permanent Co-Chair of the UN Inter-Agency Group on Ageing. “Thirteen UN entities, the World Bank group and civil society organizations contributed to this report, with WHO as the lead technical and implementing agency. That is the model of coordination the second half of the Decade will need to scale, with countries leading legislation, funding and implementation, engaging older people.”“Investing in healthy ageing is not simply a cost; it is one of the highest-return investments a government can make,” said Fiona Stewart, Global Lead for Ageing and Pensions at the World Bank Group. “Countries that invest early in integrated and long-term care see savings that outweigh the upfront cost many times over. The evidence in this report makes the economic case; what is now needed is predictable financing at country level to act on it, along with efforts to support older entrepreneurs and the silver economy.”Older people's own voicesThe report also draws on the direct experience of older people themselves, including a multilingual global survey conducted by the International Federation on Ageing that reached more than 1000 older people across 58 countries. WHO and UN partners called on Member States to use the second half of the Decade to accelerate implementation, strengthen data systems, and secure the financing needed so that the gains of longer lives reach older people everywhere. About the UN Decade of Healthy Ageing (2021–2030)Proclaimed by the UN General Assembly in December 2020, the Decade is a global collaboration bringing together governments, UN agencies, civil society, the private sector, academia and older people themselves to improve the lives of older people, their families and communities. It is coordinated by the World Health Organization together with the UN Inter-Agency Group on Ageing. The Decade's mid-term progress report was transmitted to the General Assembly by the Secretary-General, prepared by WHO, and is available in 6 languages.Full Report available: A/81/366 Implementation of the United Nations Decade of Healthy Ageing (2021–2030): Note by Secretary-General [ العربية | 中文 | English | Français | Pусский | Español
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