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Scientists in Iceland drilled straight into 900°C magma by accident — so energy-dense was the well that resulted, it could produce nearly ten times the power of a conventional geothermal well
An accidental breakthrough in Iceland reveals how to tap into magma itself, potentially unlocking geothermal energy at scales previously thought impossible.
Scientists in Iceland drilled straight into 900°C magma by accident — so energy-dense was the well that resulted, it could produce nearly ten times the power of a conventional geothermal well
An accidental breakthrough in Iceland reveals how to tap into magma itself, potentially unlocking geothermal energy at scales previously thought impossible.
WHO RUNS MARYLAND POLITICS NOW?
ByThe Maryland Wire The Machine Didn’t Die — It Broke Apart Mike Miller is gone. Steny Hoyer is retiring. The two men who helped define Maryland political power for generations are disappearing from the map. Nobody has inherited all of what they controlled. Instead, Maryland power has fractured among Wes Moore, legislative leaders, county organizations, federal figures and a new generation fighting to connect the pieces. By The Maryland Wire For decades, there were two names in Maryland politics that required almost no explanation. Mike Miller. Steny Hoyer. You didn’t necessarily have to agree with them. You didn’t even have to like them. But everyone understood something: Not social-media power. Not cable-news power. Not the temporary power that comes from one big election. They possessed political infrastructure. Relationships. Institutional memory. Donors. Staff. Allies. County leaders. Lobbyists. Legislators. Operatives. And the ability to connect people who needed something with people capable of delivering it. Today one is gone. The other is preparing to leave Congress after more than four decades. And Maryland faces a question it hasn’t had to answer in generations: The answer may be: Nobody. At least not the way Miller once did. Maryland’s old machine wasn’t inherited by one person. It fragmented. And now several ambitious political networks are competing to assemble the pieces. Miller presided over the Maryland Senate for 33 years, becoming one of the longest-serving legislative leaders in American history. He stepped down as Senate president in 2019 and died in January 2021. (Behavioral and Social Sciences) But Miller’s real power wasn’t the title printed on his door. It was the accumulation of relationships behind it. Miller came from Maryland’s old Democratic organization and developed into an extraordinarily adaptable political operator, retaining authority even as the Senate around him became younger and more liberal. (The Washington Post) He understood something fundamental: politics is information. Who wants what? Who owes whom? Which senator needs help? Which county executive wants something in the budget? Which committee chairman can move a bill? Which lobbyist represents which client? Which candidate should receive support today because that candidate could be a senator ten years from now? Miller knew the answers because he’d spent decades collecting them. Miller’s influence wasn’t confined to elected officials. Former Miller aides became prominent Annapolis lobbyists. Maryland Matters noted figures such as Joseph Bryce and Timothy Perry among the high-profile lobbyists who had once served as top Miller aides. (Maryland Matters) That was one of Miller’s greatest political achievements. He didn’t merely accumulate power around himself. He produced alumni. Staffers became lobbyists. Legislators became committee chairs. Allies became power brokers. And decades of relationships reinforced one another. By the end, Mike Miller wasn’t simply a person. He was an ecosystem. Hoyer’s network was different. Miller’s power was rooted in Annapolis. Hoyer connected Maryland to Washington. He served in the Maryland Senate before winning election to Congress in 1981 and ultimately became one of the longest-serving members of the U.S. House and a longtime No. 2 in House Democratic leadership. In January 2026, Hoyer announced that he would retire rather than seek another term. (The Washington Post) His influence stretched through: Prince George’s County, Southern Maryland, Congress, federal agencies, donors, campaign organizations, and generations of Democratic candidates. And Hoyer had something machine builders value enormously: a succession network. That became obvious almost immediately. When Hoyer announced his retirement, Maryland’s 5th Congressional District exploded with candidates. Twenty-four Democrats entered the race. But when the votes were counted, the winner was Adrian Boafo, Hoyer’s former campaign manager. Boafo wasn’t running without establishment help. He was endorsed by Hoyer. He was endorsed by Governor Wes Moore. And he ultimately won the Democratic nomination. (AP News) In his victory speech, Boafo described the result as voters deciding it was time to “pass the torch to a new generation of leaders.” (AP News) That phrase captures the transition perfectly. Hoyer’s seat isn’t simply being vacated. Parts of his network are being transferred. But they aren’t being transferred to another Steny Hoyer. They’re being absorbed into a newer political constellation. And standing prominently inside that constellation is Wes Moore. If someone forces you to name the single person sitting nearest the center of Maryland Democratic politics today, the answer is Governor Wes Moore. The 2026 Democratic gubernatorial primary underscored the scale of his position. Moore won renomination overwhelmingly, receiving roughly 88% of the Democratic primary vote. (WBAL-TV) But raw votes tell only part of the story. Look at the party infrastructure. The Maryland Democratic Party says Steuart Pittman ran for state party chairman in 2025 “at the suggestion of Governor Wes Moore.” Pittman took office that July. (The Maryland Democratic Party) That’s important. Governors traditionally influence their state parties. But party leadership plus fundraising, endorsements, executive appointments and national relationships creates the beginning of something bigger: a political network that could survive the governor’s term. Moore also played a role in the Hoyer succession by backing Boafo. That’s how political organizations reproduce themselves. You support tomorrow’s politician today. And that’s the distinction that matters. Moore has enormous statewide visibility. Miller had decades of accumulated legislative control. Moore can endorse candidates. Miller could influence the environment in which legislators lived every day. Committee assignments. Leadership positions. Legislative priorities. Relationships that had been accumulating since before many current lawmakers entered politics. Moore may have a larger national profile than Miller ever possessed. But he doesn’t possess Miller’s half-century of Annapolis memory. Nobody does. Which is why the modern Maryland political structure looks less like a pyramid and more like several power centers connected by overlapping relationships. One of those centers belongs to Senate President Bill Ferguson. Ferguson controls an institution no governor can simply command. The Senate. Maryland’s official 2026 legislative records identify Ferguson as Senate President. (Maryland General Assembly) That means influence over: committee structure, Senate leadership, legislative priorities, confirmations, and negotiations with the House and governor. But Ferguson is not Mike Miller 2.0. Miller’s extraordinary longevity allowed him to become almost inseparable from the institution. Ferguson possesses the office. Miller possessed the office plus decades of political mythology and accumulated relationships. Those aren’t the same thing. The House now has its own new center of gravity. Official 2026 legislative records identify Joseline Peña-Melnyk as Speaker of the House of Delegates, alongside Ferguson as Senate President. (Maryland General Assembly) That makes the current Maryland governing triangle: Executive power. Senate power. House power. None fully controls the others. And that fact alone demonstrates how different modern Maryland is from the Miller era. The governor proposes. The legislature disposes. Committee leaders negotiate. County interests intervene. And political coalitions shift issue by issue. That’s not one machine. That’s a networked power structure. Then there’s U.S. Senator Angela Alsobrooks. Her significance isn’t that she is the new Hoyer. She isn’t. Hoyer spent decades constructing his network. Alsobrooks brings something different: Prince George’s County roots, a statewide electoral organization, a United States Senate platform, and relationships with national Democratic leaders. That makes her a critical bridge between Maryland and Washington at precisely the moment Hoyer leaves. Hoyer’s retirement therefore doesn’t necessarily weaken Prince George’s influence. It changes who carries it. Prince George’s itself is undergoing a dramatic generational transition. Official 2026 results show Aisha Braveboy winning the Democratic County Executive primary with 87,944 votes and 73.31% of the vote. (Maryland State Board of Elections) That’s political infrastructure. Prince George’s is one of Maryland’s central Democratic vote engines. A county executive with that level of primary support gains: appointments, budget influence, organizational relationships, donor access, and a platform for cultivating the next generation of political leadership. Braveboy therefore isn’t merely another person on the Maryland power map. She controls a place from which a political organization can be built. Boafo is particularly interesting because he sits almost perfectly at the intersection between the old and new worlds. He worked for Hoyer. Hoyer endorsed him. Moore endorsed him. Then Boafo beat an enormous Democratic field for Hoyer’s seat. (AP News) That doesn’t make him powerful on Hoyer’s scale. He’s just beginning. But it illustrates how power actually transfers: not through a ceremonial handoff, but through endorsements, donors, staff, relationships, and voter confidence. Boafo may become Hoyer’s congressional successor. He will not automatically inherit Hoyer’s 40-plus years of political capital. That part has to be rebuilt. This is the part that often gets overlooked. When a machine breaks apart, power doesn’t only move upward. Some people’s relationships become less valuable. Former Miller aides still know Annapolis. Former Miller allies still possess institutional memory. Veteran lobbyists don’t forget how legislation works. But something fundamental disappeared when Miller did: the common center. The person capable of connecting all of them instantly was gone. That changes the value of a political network. Imagine knowing everybody in Annapolis. Useful. Now imagine the person who introduced many of those people, appointed committee chairs, influenced Senate priorities and understood decades of relationships is simultaneously Senate President. Much more useful. Remove that person and the individual relationships remain. But the system becomes decentralized. First: Bill Ferguson. The Senate’s institutional relationships now run through his leadership rather than Miller’s. Second: the House leadership. With the Miller-Busch generation gone, today’s House leaders are building their own committee chairs, alliances and relationships. Third: Wes Moore. Moore became governor after Miller was gone. That distinction matters. Earlier governors had to operate with Miller sitting across State Circle. Moore entered office during a generational reset. Instead of negotiating with the old machine, he has the opportunity to help build the next network. Fourth: Angela Alsobrooks and the emerging Prince George’s generation. Hoyer is leaving. Miller is gone. The county’s political leadership now belongs to another generation. Fifth: politicians who were outside the old Miller organization. When someone dominates an institution for 33 years, inevitably some politicians develop within that organization and others outside it. Miller’s departure created room for people who may never have risen as quickly under the old structure. That’s the biggest point. If Mike Miller’s power had simply transferred to Bill Ferguson, Maryland would still have a machine. If Hoyer’s influence simply transferred to Boafo, Maryland would still have a machine. If every county leader simply took orders from Moore, Maryland would have a machine. None of those things happened. Instead: Moore controls the statewide executive platform. Ferguson controls the Senate. Peña-Melnyk controls the House. Alsobrooks has statewide and federal reach. Braveboy has Prince George’s executive power. Pittman leads the state Democratic Party after Moore encouraged him to seek the role. (The Maryland Democratic Party) Boafo represents the beginning of the post-Hoyer congressional generation. And Baltimore, Montgomery County, organized labor, donors and other county organizations maintain their own centers of influence. That’s not one machine. If you want to understand where Maryland power is moving, don’t simply watch office titles. Watch endorsements. Who does Moore support? Who does Alsobrooks support? Who gets Ferguson’s allies? Who gets House leadership? Who gets Hoyer’s blessing? Who gets labor? Who gets major donors? And most importantly: That is where the new Maryland network becomes visible. The Boafo race was a textbook example. Hoyer’s successor didn’t emerge randomly from 24 candidates. He had ties to the outgoing incumbent and support from the governor. The old network and the emerging one overlapped. And voters chose him. (AP News) Moore may ultimately become the most important person in determining whether Maryland develops another durable statewide political organization. But the test isn’t whether Moore himself remains popular. The test is what happens to the people he supports. Which delegates become senators? Which senators become committee chairs? Which county officials become executives? Which staffers become candidates? Which appointees become statewide leaders? Who gets his donor network? Who gets his political advisers? Who eventually gets his endorsement when Maryland faces a post-Moore gubernatorial succession fight? That’s how we’ll know whether Moore was merely a successful governor— or the founder of another generation of Maryland power. There’s another category worth watching: politicians who came from Miller’s Maryland but remain active in the new one. Dereck Davis is one. Anthony Brown is another. Veteran legislators and former officials throughout the state still possess old relationships that newer politicians don’t. These people can function as bridges. That’s important because political systems rarely reset completely. The new machine usually grows partly from pieces of the old one. Donors don’t disappear. Lobbyists don’t disappear. Operatives don’t disappear. Institutional memory doesn’t disappear. They find new centers of gravity. If you want one name: His overwhelming 2026 Democratic renomination, executive authority, national profile and influence within the Maryland Democratic Party make that difficult to dispute. (WBAL-TV) But saying Moore “runs Maryland” the way Miller once ran the Senate would oversimplify the reality. Maryland power today looks more like this: WES MOORE Statewide organization.Appointments.Fundraising.Executive government.National Democratic relationships. BILL FERGUSON The Senate.Committees.Confirmations.Legislative leverage. JOSELINE PEÑA-MELNYK The House.Committee leadership.Budget and legislative leverage. ANGELA ALSOBROOKS Statewide electoral organization.Federal platform.Prince George’s relationships.National Democratic connections. AISHA BRAVEBOY Prince George’s executive organization.County government.A major Democratic vote base. THE POST-HOYER GENERATION Boafo and the emerging political class that will have to rebuild Hoyer’s Washington-Maryland network rather than simply inherit it. It did something more interesting. Mike Miller’s influence was too personal, too old and too deeply rooted in his own relationships to be inherited whole. Hoyer’s network is too extensive and too intertwined with decades of congressional politics to fit neatly inside one successor. So the pieces are moving. Toward Moore. Toward Ferguson. Toward Peña-Melnyk. Toward Alsobrooks. Toward Braveboy. Toward younger candidates and new county organizations. And toward veteran political survivors who understand both eras. That’s the next chapter of Maryland politics. The person who eventually connects: Annapolis, Prince George’s, Montgomery County, Baltimore, labor, business, donors, the Maryland Democratic Party, and the congressional delegation will possess something Maryland hasn’t truly seen since Miller’s heyday. Not merely another elected official. And maybe that’s why searching for “the next Mike Miller” is the wrong exercise. There may never be another one. The more important question is: Miller spent half a century becoming that person. Hoyer spent decades becoming another version of it. Maryland’s current political leaders are still competing for the privilege. And until somebody actually connects all those pieces, the most accurate answer to the question “Who runs Maryland?” may be the most fascinating one of all: No one does. Not anymore. But there are plenty of people trying. Sources University of Maryland and Maryland Matters — Miller’s 33-year Senate presidency and political legacy. (Behavioral and Social Sciences) Washington Post historical reporting — Miller’s rise from Maryland machine politics and ability to retain power as the Senate evolved. (The Washington Post) Maryland Matters — former top Miller aides who moved into Annapolis lobbying and the changing Senate power structure. (Maryland Matters) Washington Post and Reuters — Hoyer’s January 2026 retirement announcement after more than four decades in Congress and his long Democratic leadership career. (The Washington Post) Associated Press — Adrian Boafo’s 2026 victory in the Democratic primary to succeed Hoyer, including Hoyer and Moore’s support and Boafo’s “pass the torch” remarks. (AP News) Maryland Democratic Party — Steuart Pittman’s official biography stating that he sought the state chairmanship at Moore’s suggestion. (The Maryland Democratic Party) Maryland General Assembly — official 2026 records identifying Bill Ferguson as Senate President and Joseline Peña-Melnyk as Speaker. (Maryland General Assembly) Maryland State Board of Elections — official 2026 Prince George’s County results showing Aisha Braveboy’s dominant County Executive primary victory. (Maryland State Board of Elections) 2026 election reporting — Moore’s overwhelming Democratic gubernatorial primary victory. (WBAL-TV)
Experimental compound helps burn fat without muscle loss
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A veteran political reporter shares the lessons she learned hearing from swing voters
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Jaafar Jackson says sequel will tell Michael Jackson's story from his point of view
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This frozen fiber makes light and sound interact 1,000x more strongly
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Hidden magnetism inside atoms may explain mysterious gamma rays
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Health officials trace E. coli and salmonella outbreak to Minnesota alfalfa grower
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Wood’s research advances fertility understanding
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Dog Days of Politics
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Florida’s leading coral experts unite in historic effort to restore Florida’s Coral Reef
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Did life-friendly planets really form just after the Big Bang? Science stirs debate - Futura-Sciences
Standard models of galactic evolution indicated that the universe needed several billion years after the Big Bang to produce enough heavy elements for rocky planets. Vorobyov and co-author Daniel Whalen at the University of Portsmouth tested the accuracy of the time scale using computational models. Their team found evidence that...
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Imaging experts 3D-print specialized MRI sensors at fraction of standard cost
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Get to Know Your Orange Man: #93, DL Alex Haskell
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BREAKING: Netflix to shut down two more game studios
Netflix is sticking with video games but once again reducing the number of studios it owns making games. The streaming giant is closing Los Angeles-based Night School studio, which it acquired in 2021 and plans to close Helsinki-based Moonloot, which was founded in 2022. Just six weeks ago, Night School had released Unhinged, a novel 30-minute first-person horror game, streamable on TVs to Netflix users. The game was hailed by Netflix co-CEO Greg Peters in a call with investors. Six weeks later, Night School is closing. Prior to its Netflix tenure, Night School had developed the award-winning supernatural thriller Oxenfree. A second Oxenfree game followed after the purchase, as well as a mobile game designed to tie in to an episode of the Netflix show Black Mirror. Netflix attributed the studio closures to a prioritization around kids gaming, party games, story-driven fare and games with mainstream hooks, such as a recently released FIFA game. “We see an opportunity to be more focused in our execution, so we are making organizational changes to the business to match those priorities,” a Netflix spokesperson told Game File. Netflix is also cutting jobs from its internal games team. A rep declined to say how many jobs were being lost by these cutbacks. “We are incredibly grateful to the talented colleagues we’re saying goodbye to today. We thank them for all their contributions to Netflix, and wish them the best,” the rep said. Netflix started releasing video games, initially on mobile as a free bonus to subscribers, in 2021. By 2023, Mike Verdu, then the head of Netflix’s game operations, was telling me that the company was committed to growing carefully, as it offered more games and built up internal game studios. At the time, it hadn’t made any gaming job cuts. Since then, Netflix has altered its approach. In 2024, it shut down Team Blue, a start-up studio led by ex-Call of Duty and Halo developers that was exploring making a high-end first-person game for the service. Last October, Netflix shut down another studio, Boss Fight, shortly after Peters praised the team’s Squid Game game to investors. (One of Boss Fight’s main developers now works on the Netflix FIFA game for outside studio Delphi.) And in December, Netflix sold cozy game studio Spry Fox back to its founders. Amid all of this, Netflix has shifted from emphasizing mobile games to offering games through TVs and PCs, via streamed connections, with phones used as controllers. That’s how Night School’s Unhinged worked, along with games such as Boggle and Party Crashers that have collectively helped the Netflix game controller app chart well on mobile app stores. The studio cuts leave Netflix with a central gaming team that works with external developers, and a dedicated first party studio in, Helsinki-based Next Games, which produced many of the company’s couch-centric party games. The move away from having a roster of internal game studios aligns with Netflix’s own approach to shows and movies, which are largely produced externally. The company owns few TV/film production studios of its own. The gaming industry overall is seeing large holders of multiple studios cut back, with Sony, Ubisoft, Embracer, Microsoft and other giants closing or selling off studios. Cuts in California-based studios, where costs often run relatively high, have been particularly acute. Netflix has faced skepticism about its gaming plans for years. The moves today are likely to fuel them, and the company has few upcoming projects to counter the narrative. Among the few hinted, acclaimed independent studio Don’t Nod said last year it was working on a game tied to a major Netflix franchise.
Octavia Spencer Talks Giving 'Visibility' to Missing Indigenous Women
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Why This Shark Glows in the Dark—and What Scientists Just Discovered About It - Futura-Sciences
The Glow of the Kitefin Shark The kitefin shark (Dalatias licha) is a master of the twilight zone, cruising the deep-sea gloom like a spectral submarine. Like many marine creatures, it produces its own blue-green light. Until recently, scientists believed this bioluminescence mainly helped the shark perform what’s called “counter-illumination”—by...
AI needs science’s search history
“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
Crossing Maine’s Waters in Pursuit of GNATS
The Gulf of Maine North Atlantic Time Series, or GNATS, produces data that is used to validate NASA’s suite of ocean color satellites.
Mammal ancestors may have given live birth 90 million years earlier than we thought, rewriting evolutionary timelines
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Scientists develop innovative hybrid material for hydrogen peroxide production
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‘Dontrell, Who Kissed the Sea’ is haunted by an ancestral legacy
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Single Powerball ticket sold in Illinois wins $1.04 billion jackpot, eighth-largest in US history
Wednesday's Powerball drawing produced a single Illinois winner who matched all six numbers to claim the $1.040 billion jackpot, eighth-largest ever.
Starbreeze Entertainment & VICE Studios Partners with Curtis “50 Cent” Jackson and G-Unit Film & Television for PAYDAY
Starbreeze Entertainment together with VICE Studios (Gangs of London) have partnered with Curtis “50 Cent” Jackson and his G-Unit Film & Television, to executive produce an adaptation of Starbreeze’s iconic, long-running video game franchise PAYDAY® for global audiences. , , , , “G-Unit Film & TV has built cinematic crime stories that connect with audiences around the world. Teaming up with Starbreeze and VICE Studios and bringing the world of PAYDAY to the screen gives us the chance to build...
Business owners, city officials unveil 5-year action plan for downtown Shreveport
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Scientists say U.S. will suffer if White House bars science with China
A proposed Office of Management and Budget rule will ban all research funding for U.S. science collaboration with China, which has surpassed the U.S. as the world’s top investor and producer of science and engineering research and development.
Curtain Call Cabaret & Lounge launches new pay model for entertainment, food
The Curtain Call Cabaret & Lounge in downtown Medford has introduced an innovative Pay-What-You-Want model that includes both admission and its food menu. For all Curtain Call-produced performances, guests may […]
Health Facts vs. Myths: Detoxing, Water Intake, Steps, More
NBC’s medical contributor Dr. John Torres joins TODAY to sort out fact from common medical myths. He also shares his advice for navigating produce shopping amid the rising numbers of recalls, which include buying locally and staying up to date with CDC and FDA guidelines.
Sinclair Launches Pittsburgh Sports Tonight Live Weeknight Sports Show Premieres August 31 Across Pittsburgh, Johnstown/Altoona and Wheeling/Steubenville
PITTSBURGH, Pa. — August 11, 2026 — Sinclair today announced the launch of Pittsburgh Sports Tonight, a new live, locally produced sports program premiering Monday, August 31. Airing weeknights from 7:00–7:30 p.m. ET, the 30-minute program will deliver comprehensive regional sports coverage across Sinclair's three-station television network serving Western Pennsylvania, Eastern Ohio, and Northern West...
Small business owners, advocates sound the alarm on new Virginia hemp law
Small business owners and advocates are sounding the alarm on new hemp laws that will make many products that are currently legal, illegal to be produced or sold as hemp in Virginia.
MEAS Researchers Lead $1M NSF Project Using AI to Forecast Coastal Dead Zones | Marine, Earth and Atmospheric Sciences
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50 Cent to executive produce 'Payday' TV series
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Pork producer sees value in AgView health data tracking
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Scientists Release Biggest 2D Map of the Universe
Key Takeaways The DESI Legacy Imaging Surveys combined more than 263,000 telescope exposures to make the largest 2D map of the universe in visible and near-infrared light. Astronomers can pair the Legacy Surveys map with their own observations to explore our universe and search for rare phenomena. The 2D map serves as the foundation for the Dark Energy Spectroscopic Instrument survey to measure the universe in 3D and investigate dark energy. Hold on to your telescopes: the DESI Legacy Imaging Surveys team has released the largest-ever 2D color map of the universe. The 5.6-trillion-pixel map contains nearly 4 billion celestial objects, primarily stars and galaxies. The data is available for all to use and publicly viewable through the Legacy Survey Sky Viewer. Astronomers and citizen scientists can explore the map or combine it with their own observations to better understand our universe. Researchers can search for rare phenomena like gravitational lenses, observe fleeting events like supernovae, and investigate two of physics’ biggest mysteries: dark matter, the invisible substance that accounts for most of the mass in our universe, and dark energy, the force driving our universe’s accelerating expansion. The new map builds on earlier versions from the DESI Legacy Imaging Surveys that have already proved invaluable. To date, more than 1,800 science papers that reference the Legacy Surveys data have been published. “It’s part of the fabric of astronomy research now,” said David Schlegel, a co-lead of the Legacy Surveys and scientist at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). “When you’re working with astronomical objects today, you often start by pulling up the Legacy Imaging Viewer to see what you’re looking at.” Covering roughly 75% of the sky in visible and near-infrared light, the updated map provides a deep view of the extragalactic universe not blocked by the dust and stars of our own Milky Way. Researchers expect it will remain the most comprehensive 2D map of our universe for years to come. More than 160 scientists contributed to data collection for the project, and a team of 20 produced the final dataset released today. It was built by combining 263,407 telescope exposures from three ground-based sky surveys: the Dark Energy Camera Legacy Survey (DECaLS) at NSF Cerro Tololo Inter-American Observatory, the Mayall z-band Legacy Survey (MzLS) at NSF Kitt Peak National Observatory, and the Beijing-Arizona Sky Survey (BASS) at the University of Arizona’s Steward Observatory. That was supplemented by years of data from NASA’s Wide-field Infrared Survey Explorer (WISE) satellite mission and additional public data. “For our team, these data are fundamental to our investigation of the expansion history of the universe and the formation of our galaxy,” said Arjun Dey, co-lead of the Legacy Surveys and an astronomer at NSF NOIRLab. “But the skies belong to everyone, and this survey gives everyone the chance to explore the sky and marvel at its wonders.” Here be galaxies The DESI Legacy Imaging Surveys were originally conducted to prepare for the Dark Energy Spectroscopic Instrument (DESI) survey. The Legacy Surveys’ 2D map is essentially a deep photograph of the sky; it records where galaxies and stars appear and how bright they appear. This crucial step enables DESI to select objects and measure their light in different wavelengths to determine their distances, building the largest high-resolution 3D map ever made. Scientists study the way galaxies have clustered at different ages of the universe to track dark energy over time. In April 2026, DESI completed its original five-year survey ahead of schedule and with vastly more objects than expected. The early results have shown surprising hints that dark energy’s impact may be weakening over time — a paradigm shift that could potentially shape the predicted fate of our universe. DESI expects to publish improved results using their first five years of data in 2027 and is continuing observations into 2028. DESI was so efficient at observing galaxies, the Legacy Surveys map needed to expand. Early on, “it became clear we might run out of galaxies to look at and run out of sky, and we better start doing something about that,” said Schlegel, who also works on DESI. The new Legacy Surveys map has been used to select DESI targets since June 2026 and will guide the telescope’s operations over the coming years. Computing the cosmos Merging hundreds of thousands of images taken on 2,285 nights, each with unique atmospheric and telescope conditions, was a massive computational effort. It took about a year to develop the computer code and eight weeks to process all the images at the Perlmutter supercomputer at the National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab. Beyond supporting DESI, the Legacy Surveys will be a foundational reference for the next generation of telescopes. As new observatories like the NSF-DOE Vera C. Rubin Observatory (jointly funded by NSF and DOE’s Office of Science) and NASA’s Nancy Grace Roman Space Telescope come online, researchers can compare their observations with one of the deepest and most comprehensive views of the sky ever assembled. The Legacy Surveys data will also help scientists train artificial intelligence tools to analyze petabytes of astronomical data and accelerate new discoveries. It will be among the datasets used in an astrophysics pilot project within the American Science Cloud, part of the DOE’s Genesis Mission. The DESI Legacy Imaging Surveys are supported by the U.S. Department of Energy’s Office of High Energy Physics; the National Energy Research Scientific Computing Center, a DOE Office of Science user facility; the U.S. National Science Foundation, Division of Astronomical Sciences; and the partner institutions. DESI is supported by the DOE Office of Science and NERSC. Additional support for DESI is provided by the NSF; the Science and Technology Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the Secretariat of Science, Humanities, Technology and Innovation (SECIHTI) of Mexico; the Ministry of Science and Innovation of Spain; and by the DESI member institutions. ### Lawrence Berkeley National Laboratory (Berkeley Lab) is committed to groundbreaking research focused on discovery science and solutions for abundant and reliable energy supplies. The lab’s expertise spans materials, chemistry, physics, biology, earth and environmental science, mathematics, and computing. Researchers from around the world rely on the lab’s world-class scientific facilities for their own pioneering research. Founded in 1931 on the belief that the biggest problems are best addressed by teams, Berkeley Lab and its scientists have been recognized with 17 Nobel Prizes. Berkeley Lab is a multiprogram national laboratory managed by the University of California for the U.S. Department of Energy’s Office of Science. DOE’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States, and is working to address some of the most pressing challenges of our time. For more information, please visit energy.gov/science.
Health expert sounds alarm over rising outbreaks
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Positive outlook for cattle business as summer business meeting concludes
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Scientists Used AI To Produce A Bacteria-Killing Virus, “A Little Bowel Movement” 540 Million Years Ago Sparked An Evolutionary Explosion, And Much More This Week
All the biggest science news stories of the week.
PENN Entertainment (PENN) Stock Profit Rebound Faces Lingering Digital Doubts
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Visit Jersey Shore Farmers Markets for Local Produce, Entertainment
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The Super Bee Is Back: Dodge's Newest Charger Packs 600 Horsepower
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PA Pork names new inaugural Penn State Sports Nutrition Fellow
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Take-Two CEO On The Industry Going All Digital: 'Discs Don't Really Make Sense For The Consumer'
Strauss Zelnick thinks his company will still produce some physical games "now and then"
Sunlight creates quantum entanglement once thought to require lasers
Scientists have generated quantum entanglement directly from sunlight, potentially offering a lower-energy alternative to the lasers normally used in quantum technology. Their outdoor experiment produced entangled photons with about 94% similarity to an ideal state. The result could pave the way for simpler quantum satellites, secure communications, and more energy-efficient quantum computing.
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What Makes a Fact, According to a Harvard Social Scientist
Sheila Jasanoff has spent her career studying how societies produce knowledge, evaluate expertise, and make decisions about technology.
Butterfly lilies wing their way to Science
Many animals and plants show left-right differences in how their bodies or organs are arranged, but we still know little about how such asymmetries evolve or how genes control them in natural populations. Mirror-image flowers, in which female and male sex organs are deflected to opposite sides in left- and right-handed forms, provide a notable example of such asymmetry. Here, we studied South African butterfly lilies, where individual plants produce only left- or right-handed flowers. Their mirror-image flowers promote outcrossing by depositing pollen from each floral form onto a specific region of a pollinator’s body that matches the stigma position of the opposite form. This suggests that selection for efficient pollen transfer between forms maintains this natural polymorphism. Our work uncovers a hemizygous supergene that coordinates the left-right orientation of female and male sex organs in mirror-image flowers by linking two independently acting genes for style and stamen handedness in a single, nonrecombining genomic segment. This architecture ensures the coinheritance of a matched pair of organ orientations that is essential for efficient cross-pollination between floral forms. At the developmental level, we show that floral handedness emerges from the interaction between an intrinsic tissue chirality and a gravitropic response that orients the style and median stamen relative to gravity. Together, these findings reveal how a supergene, hormone and microRNA signaling, tissue chirality, and an external physical cue combine to produce and maintain a stable left-right polymorphism in natural plant populations.
Scientists produce record rubidium-potassium BEC in microgravity, paving way for ISS lab
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The new science of brain workouts, beyond Sudoku and crosswords
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The new science of brain workouts, beyond Sudoku and crosswords
Emerging evidence suggests that only certain types of training produce meaningful benefits, and those benefits may differ between men and women.
Student-Produced Beehive Block Party Opens Doors to Live Entertainment Careers
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Viewpoint: Europe needs a new scientific contract
The White House's new science strategy should be required reading in the Berlaymont and every European capital.Not because Europe should copy it. Parts of it should concern Europeans deeply. But because it asks the question Europe has so far avoided while steadily losing ground in the global race for technological leadership.Europe already possesses many of the world's finest universities, scientists and research-intensive companies. It produces world-leading research in fields ranging from quantum technologies and biotechnology to climate science. Yet time and again Europe generates the scientific breakthroughs while others build the companies, industries and strategic advantages around them, particularly in digital technologies. Increasingly, we find ourselves regulating technologies whose underlying capabilities were developed elsewhere.This is not primarily a scientific failure. It is an institutional one.The settlement that shaped modern science policy emerged after the Second World War. In Science, the Endless Frontier, Vannevar Bush argued that governments should invest in fundamental research while protecting scientists from political direction. Public investment was justified precisely because no government, university or company could predict where the next transformative discovery would emerge.That scientific contract served liberal democracies extraordinarily well. It underpinned decades of advances in medicine, computing, energy and communications, but the world for which it was designed no longer exists.Artificial intelligence is transforming not only technology but the production of knowledge itself. Advanced chips, computing power, data and scientific instruments have become strategic assets. Scientific knowledge now diffuses globally almost instantly. Competitive advantage increasingly lies not in making discoveries first, but in possessing the infrastructure, capital, engineering capability and institutions required to translate those ideas into products, industries and strategic advantage.The old boundaries between science, industrial policy, national security and geopolitics have largely disappeared. Dual-use technologies now underpin both economic power and military deterrence.The US has recognised this shift. In July, the White House published Science: A New Golden Age, a comprehensive attempt to rethink the relationship between science and national power. The report builds on Bush's legacy, but departs from his framework in important ways. Science is no longer treated simply as the source of future discoveries. It is presented as the foundation of economic resilience, technological leadership and national security. AI, advanced infrastructure and the capacity to build become as important as discovery itself.Yet the report also reveals a striking paradox. The same administration calling for “a new golden age” of US science has simultaneously proposed deep cuts to the federal research enterprise while expanding political influence over the allocation of public research funding. Europe should therefore distinguish between the report's diagnosis and its prescription. The diagnosis, that science has become a strategic asset, is compelling. But the prescription is self-defeating. Long-term technological leadership depends on strong universities, academic freedom and the institutional autonomy that makes scientific discovery possible. This distinction matters. Bush's achievement was never simply to make science serve national strength. It was to establish a division of labour in which governments invested in research without attempting to direct discovery itself. Scientific breakthroughs emerge precisely because researchers retain the freedom to pursue questions whose value cannot yet be demonstrated and whose conclusions cannot be anticipated.Neither China, nor the USAs science becomes more strategically important, the temptation to politicise it inevitably grows. But scientific freedom is not an obstacle to technological leadership, it is an essential precondition.China represents the opposite model. For decades it has integrated science, manufacturing, infrastructure and industrial policy into a single national strategy. Its ability to mobilise resources around critical technologies is formidable. But it does so within an authoritarian system where scientific priorities are increasingly inseparable from political power.Europe should imitate neither model. It should learn from the strategic ambition of the US without importing its growing politicisation of science. And it should learn from China's capacity to build without adopting its concentration of power.Instead, Europe needs a scientific contract of its own. Bush's scientific contract protected the freedom to discover because the defining challenge of the 20th century was producing new knowledge. Europe's next scientific contract must preserve that freedom while ensuring that scientific discoveries can be converted into technological, industrial and strategic capability. Because in a transactional world, Europe's freedom to shape its own future depends on its capacity to build it.Related articlesThe US ‘golden age’ science strategy: what Europeans need to knowEuropean researchers sound the alarm that Trump rule changes will hit cooperationNIH turmoil risks reciprocal EU-US access to health research fundingThis does not mean subordinating free science to competitiveness or industrial policy. On the contrary. Scientific autonomy remains the first principle of Europe's next scientific contract. Governments should not direct scientific discovery. Their responsibility is to ensure that Europe's scientific, industrial, financial and regulatory institutions work together rather than in isolation.Meeting that responsibility requires far more than research funding. European researchers need access to world-class computing infrastructure, advanced laboratories, shared datasets and scientific facilities. Innovative companies need patient capital, testing environments and a genuine single market in which they can scale without facing 27 different regulatory regimes. Public procurement must evolve from purchasing existing technologies to creating markets for new ones. Regulators must become partners in experimentation rather than guardians of yesterday's rules.A connecting architectureEurope does not need to invent the Defense Advanced Research Projects Agency (Darpa) model from scratch. Britain's Aria, Germany's Sprind and Wellcome Leap already show that Europe can build institutions capable of taking high-risk, mission-oriented bets while preserving democratic accountability. The challenge now is not to create more isolated initiatives, but to connect them to Europe's broader scientific, industrial and financial system so that breakthrough discoveries can scale.Above all, Europe must stop treating research, innovation, industrial policy, finance and security as separate policy domains. The challenge is no longer to create excellent institutions in each of these fields, but to make them work as one European innovation system. Europe's strength will increasingly depend not on excellence within institutions, but on excellence across them.Europe's ambition should be neither to imitate the US nor to emulate China. It should demonstrate that scientific freedom, democratic legitimacy and technological capability are not competing objectives, but mutually reinforcing strengths. In an age of geopolitical rivalry, Europe's greatest advantage may ultimately be its ability to attract the world's best talent by combining scientific freedom, democratic openness and technological ambition.Bush's scientific contract helped define the 20th century because it protected the freedom to discover. Europe's challenge is not to abandon that achievement but to extend it. The defining task of Europe's next scientific contract is to preserve the freedom to discover while building Europe's capacity to translate scientific discovery into technological power.Kaare Nielsen is founder of Pomus, a Danish think tank on science and innovation.
567-million-year-old fossils rewrite the dawn of animal life
A spectacular fossil site in Canada contains 567-million-year-old creatures that may represent some of the earliest animals to move, reproduce sexually, and develop recognizable body plans. The discovery pushes key evolutionary milestones back by up to 10 million years and suggests complex animal life may have first flourished in the deep ocean.
Chartbook 464 The"China squeeze" - the politics of development counterfactuals.
There are three types of China shock discourse. Each has a distinct temporal register. China shock 1.0 was a phrase coined by US academics in the 2010s to retrospectively summarize the impact on particular US labour markets, which they identified through painstaking empirical investigation. China shock 2.0 on everyone’s lips in Europe in the mid 2020s is an alarm raised by trans-Atlantic policy thinkers warning of a coming disaster which they project onto Europe’s ailing car industry. The third type of China shock discourse - commonly known as the “China squeeze” launched most recently by Indian economists Shoumitro Chatterjee and Arvind Subramanian in the pages of Foreign Affairs - mobilizes a different, more speculative temporal register: the counterfactual realm of alternate history. The China squeeze argument asks not what has happened, or what is going to happen, but what might have been. Specifically, what options for economic development might have been open to Global South economies like India or the economies of sub-Saharan Africa, had it not been for China’s spectacular industrialization since the late 1990s and the persistent competitiveness of China’s manufacture in low-skilled segments. Chatterjee and Subramanian’s argument is that whilst China has built a powerful position in electrical machinery and other high-skill manufacturing, which is now delivering China Shock 2.0, it also continues to run a trade surplus in low-skill, labour-intensive manufacturing. This surplus is large and has remained largely unchanged in fifteen years. Indeed, in the 2010s, in trade with low-income countries, China’s surplus rapidly increased. On their reading, this squeezes low-income producers in low-skill sectors in which they “should” be able to compete. Source: “China’s Mercantilist Squeeze on Developing Countries” Shoumitro Chatterjee and Arvind Subramanian. Peterson Institute for International Economics 26-7 May 2026 Chatterjee and Subramanian’s wording is telling: (emphasis mine) The canonical trajectory of economic development in the post-World War II period is for countries to transition from agriculture to manufacturing, first in low-skilled manufacturing and then later on to high-skill manufacturing (Herrendorf, Rogerson, and Valentinyi 2013). At the global level, this implies that high-income countries (HICs) that once specialized in low-skilled activities cede manufacturing export space to poorer countries that come along to occupy that space. In 1965, advanced economies accounted for about 60 percent of global value-added exports in four key low-skilled manufacturing sectors, i.e., apparel, leather, textiles, and footwear. Over time this share declined and began to be occupied first by the East Asian tigers and, beginning in the late 1990s, by China. Today China accounts for about 50 percent of the global market. The question is whether China, with its rising prosperity, is continuing to behave like its richer counterparts and ceding export space to poorer followers or to behave unlike them and continuing to occupy space. In terms of the conceptual maneuvers it performs, of the three China shock discourses, the “China squeeze” argument is by far the most ambitious. After all, it bases its critique of China on a counterfactual imagining of the world. Like any counterfactual argument, to construct this alternative reality it must rely on a heuristic model. To make their argument Chatterjee and Subramanian mobilize two key claims. The first reference point is the actual history of rich-country industrialization, what they refer to as the “canonical path”. The idea is that countries transition from agriculture to light industry and low-skilled manufacturing and from there up the value chain. To make this useful as a standard of comparison and a means to construct a normative standard, they adjust sectoral export shares for two factors: 1. the underlying level of economic development of the exporting country, as measured by national income and 2. the degree to which the sector in question is internationalized. The idea being that for a high income country to have a high export share in low-skill sectors is anomalous and even more so if that particular product is highly internationalized and thus suitable for being “conceded” to lower-income competitors. Where should this process end? Here Chatterjee and Subramanian introduce their second benchmark. Their normative idea of a global development path is one in which, in due course, low-skill manufacturing exports are distributed in proportion to a country’s share in the global labour force. They imagine, in other words, a world of proportional, polycentric global development without much national specialization in low-skill manufacturing. A useful benchmark is that, in labor-intensive manufacturing sectors, a country’s share of world exports should be broadly commensurate with its share of the world’s low-skilled labor endowment. … In the Heckscher-Ohlin model, this would be true if value added per worker and export propensities, i.e., fraction of output that is exported, are the same across countries. It is this pleasant liberal vista of orderly global development, progressing towards a general distribution of low-skilled manufacturing against which they judge reality and conclude that the low-income countries are suffering a “China squeeze”. China is not exiting low-skill sectors fast enough Allowing for its gdp level and the degree of globalization, China’s share of low-skill manufacturing exports is far higher than it “should” be. Relative to population, its low-skill share of exports is far too high. That in turn yields the conclusion that huge numbers of jobs - the authors suggest tens of millions - are being hoarded by China. For the four sectors captured in figure 4, this excess in value-added exports is $110 billion in 2022. For all low-skilled sectors overall captured in appendix figure D.1, excess value-added exports amount to $365 billion. The crowding out of LMIC exports by China is therefore substantial. Both these claims have in common that they are strong structuralisms. The first is that development paths ought to resemble each other. The second is that broadly speaking as far as low-skilled manufacturing is concerned, all countries are alike. If the world currently diverges from the distribution of trade implied by these assumptions, if China is not following the advanced economy path and has huge exports, this must be the result of “policy”, which the authors then put in question as illegitimate or unfair. Thus the naturalistic construction of a canonical path leading to a “level” distribution of low-skilled manufacturing reveals itself to be a polemical tool. From the point of view of China shock polemics, this discourse is no doubt welcome. But as an account of economic history, it must surely be regarded as nothing short of bamboozling. Development paths do not follow a regular, natural sequence. As David Fishman put it aptly, “development is not a queue”. They are always and everywhere, through and through political. Development is not so much a process, as a project. Each such project is more or less well adjusted to its context. As Gerschenkron taught uneven and combined development implies differentiation rather than simple imitation on a single parth. It may be true that Europe and the US exited relatively early from low-skill work. But clearly technology has changed. As C&S themselves point out, China no longer enjoys a low wage environment. Do they really believe that such huge differences can be accounted for either by industrial policy, which as they admit does not operate powerfully in low-skill sectors, or by exchange rate manipulation? What is overwhelmingly dominant in explaining the persistence of “low-skill” manufacturing in China are surely the network effects of complex supply chains. Indeed the label of “low-skill” may miss the point. The degree of globalization which Chatterjee and Subramanian decide to conjure away in their model of the development path - to allow for the fact that Europe and American textiles exporters did not enjoy just-in-time logistics in the 1950s - obscures the point that the networks through which Chinese factories supply the world are themselves key parts of the low-skill industrialization project. China isn’t knocking out 1970s style “cheap”. It has redefined the entire product cycle. C&S’s casual reference to “T-shirts” is telling. In today’s “fast fashion”, there is weight on both terms. Fashion and fast. China’s success in delivering on both at unprecedentedly high speed and at unprecedentedly low cost, isn’t a low-skill operation at all. If we see development trajectories not as the serial repetition of the same, but as distinctive, crafted projects that cumulate in complex agglomerations of skill, technology and labor, then this explains why the assumption that low-skilled manufacturing should follow the distribution of population flies in the face of all experience. As countless cases attest, low-wage, low-income developed economies are not by themselves the makings of a competitive production base. As Leon Liao puts it quite fairly: “International trade has never been allocated according to population. A country’s population gives it no natural claim to an equivalent share of global exports." And the remarkable fact is that Subramanian alone and with co-authors has long been making this point, not to pillory China, as is the case of the tendentious _Foreign Affair_s and Peterson pieces, but to highlight the great counterpart to China’s industrial success, namely India’s relative failure. The much-quoted Foreign Affairs piece showed low-skill export shares only for China, not for India. If you put both countries in the picture as Chaterjee and Subramanian have done on other occasions, the picture looks like this. China is far above the line, but India, almost as large in terms of population, is no less anomalous, just in the opposite direction. As far as global populations are concerned, and the imagining of tens of millions of “squeezed” jobs, it is this Sino-Indian pair that account for a huge share of the action. What this graph reveals is not China’s cheating, but India’s “greatest development failure”, at least this is the argument made Arvind Subramanian, this time in co-authorship with Devesh Kapur, in their major book, A Sixth of Humanity. Independent India’s Development Odyssey which appeared with Oxford University Press earlier this year. In this highly critical work on India’s development, China is repeatedly evoked, not to criticize but as a benchmark against which to illuminate what India’s political economy has not delivered i.e. large-scale formal employment for hundreds of millions of citizens. Kapur and Subramanian leave no doubt, if you want to understand why China, not India was the main driver of manufacturing globalization from the 1980s, don’t look to slots opening up in the division of labour thanks to the liberal mindedness of advanced economies, look to the contrasting political economy of the Maoist PRC and India’s post-independence political economy. As Kapur and Subramian note: The great divergence between China and India did not begin in 1978 with the Deng reforms—it was well underway by then. In one of the great ironies of modern history, the conditions created by Maoism turned out to be a great launching pad for industrial globalization. As the comparison of India and China in 1980 makes clear, to imagine manufacturing would be equally distributed when populations are so differently endowed in terms of educational and nutritional is fanciful. Here is the data from Kapur and Subramanian, data which I explored back at the very beginning of Chartbook. As Kapur and Subramanian insist, the striking fact is that even as India’s growth accelerated from the 1980s, structural change has not. Formal employment in India lags woefully behind. Why? As Kapur and Subramanian note, the path-dependent impact of India’s poor early start was devastating. The list of factors they mention is long and weighty: We argue for a new five-fold explanation applicable at different stages of Indian history: in the initial stages, the legacy of two key pre-1980s policies, the neglect of agriculture and the strangling of the domestic private sector, were critical. The failure of broad-based agricultural growth militated against rural industrialization, which would have been devoted to satisfying local needs that would have necessarily been labour intensive. Then, when the boom came after 1980, the thicket of regulation and broader labour protections that were legislated prematurely in a nascent democracy, underpinned by a deep ideological aversion to private capital in general and big capital specifically, became a barrier to attaining the size that would be necessary to compete globally. Similarly, the reforms after 1991, while wide-ranging, did not quite encompass non-tradeable inputs critical to manufacturing, namely, land, logistics infrastructure and power. A combination of low investment (logistics infrastructure), regulation (land) and the continued monopoly supply by state governments (power), combined with residual socialism, kept costs at 75–100 per cent above efficient supply. These factors were compounded on the supply side by the government, which dominated the formal labour market and established exorbitantly high wages at the lower end of the skill spectrum. This made their employment in the labour-intensive sector by the private sector less attractive. Finally, when the services sector and its exports boomed, wages soared even further via a Dutch Disease effect: one successful tradeable sector killed and cannibalized another less-skilled tradable sector, namely, manufacturing. Thus, scarcity-inducing policies of the planning era, precocious democracy and a Gandhian aversion to size; inefficient, monopolistic supply of critical non-tradable inputs; the behemoth of government; and super-successful skill-intensive services successively undermined India’s unskilled labour employment opportunities. The employment failure seems to have been over-determined. … Less quantifiable but no less important are some of the sociological factors that have undermined manufacturing and factory jobs. Take the impact of the success of the IT sector—located in urban areas with better working conditions, such as air-conditioned offices, good schools for children and attractive entertainment options. It became a more attractive place for engineering and management graduates to flock to. … Consider manufacturing and female employment. Indian society makes it difficult for women to work, reflected in India’s unusually low female labour force participation (elaborated in Chapter XIII). Indian society, in particular the routine harassment of women in public spaces, makes it even more difficult for them to travel long distances to take up work.37 Combined with onerous regulations on creating hostels and dormitories for women—which, in turn, prevents multiple shifts of operation—factories need to be located in areas with a large female labour pool. While firms can take apparel plants to female labour or bring them to the plants by building large-scale dormitories, this raises costs. If there was a case for subsidies to encourage labour-intensive manufacturing, housing subsidies to build dormitories for women workers would be a good place to start. All of this meant, that when opportunities did open up, in part thanks to adjustments in China, India was in no position to take advantage. Here is the account of the 2020s from Kapur and Subramanian. It stands in dizzying contrast to the one-sided, “China squeeze” argument delivered in the Peterson and Foreign Affairs pieces: In 2022, for example, India’s share of global exports in clothing (the canonical labour-intensive sector) was 3.1 per cent compared to 32 per cent for China. This is extremely disappointing because China started vacating export space in this sector after the Global Financial Crisis as its wages started rising; it then vacated further space in the aftermath of geopolitical developments that led investors to seek alternative investment locations. Between its peak and today, China lost about 7.5 percentage points of global export share (worth about $43 billion in 2022); over this period, India’s export share remained stagnant at 3 per cent, while that of Vietnam and Bangladesh rose by 3.5 to 4 percentage points. China’s loss did not translate into any gain for India in terms of low-skill exports and employment. Put differently, when the conditions for dynamism and prosperity were established after 1991, and even more tantalizingly when the global export opportunities opened up, it was as if India was a high-wage economy and only skilled labour could benefit from the dynamism. It had converted its physically abundant unskilled workforce into an economically expensive resource, penalizing its use. It is not my mission here to argue for or against Kapur and Subramanian’s interpretation of India’s development trajectory. The point in this context is simply that the “China squeeze” such as it is can only be understood, in relation to the heavy burden of domestic constraints that Kapur and Subramanian so unsparingly enumerate. I am concentrating here on India because it is the great counterpart to China and the unspoken reference point of the “China squeeze” discourse. But the point is more general. Can anyone with a straight face suggest that the main problems afflicting the development of South Africa or Nigeria, the great centers of mass underemployment in sub-saharan Africa, are cheap competition from China driven by Beijing’s industrial policy and an undervalued RMB? Likewise, is the main problem of the American working-class the threat of Chinese competition or the manifest crisis of social reproduction in the United States itself? The point here, as in the discourse around China shock 2.0 in Europe, is to insist that we should not normalize the world and pathologize China, without actually investigating what is going on in America’s industrial wastelands, the German car industry, or India’s lopsided labour market. One-sided pathologization should be understood for what it is, a polemical gesture. Concepts like China shock and China squeeze are, what Reinhart Koselleck, following Carl Schmitt, would have described as “asymmetrische Kampfbegriffe”, or “asymmetrical counter-concepts” or “asymmetrical combat concepts”. If the function of arguments like the “China squeeze” is to alert elites in the rest of the world of the need to rejuvenate and energize their development projects, so be it. But let us see the resulting discourses as the mobilizing interventions that they are. Interestingly, a significant slice of China’s public sphere - the so-called industrial party - have been obsessed for the last twenty years with precisely these questions of counterfactual economic history. Since the mid 2000s, a massive online discourse developed around an alternative history in which Chinese techno-patriots were asked to imagine how they would proceed if they had the possibility of traveling back in time to transport modern technology into the Ming dynasty (1368-1644) thus averting the “great divergence” of the 18th and 19th centuries. It is a fantasy of course, but also a goad. The point was not directed at Westerners. The alternate history is dramatically nationalist, but few n the West had even heard of it until recently. The adherents of the industrial party are not liberal moralists. They don’t project natural ladders of international development and ask why others don’t cede space. They take the Realpolitik of global economic development for granted. Their pointe was directed against fellow Chinese. The rallying cry of the alternative narrative was this: Now that we are beginning to gain steam and push forward on our national development path, now that we are breaking out of the inferior position assigned to us even in the early years following WTO accession, do not lose yourself in humanistic imaginings about better futures. In the spirit of Deng, they called on China to embrace the hard truth of development. Perhaps one might of the Industrial Party as a cultural trend born out of desire for symbolic revenge against those who had inflicted the century of humiliation. In terms of the various temporalities of the “China shock” - retrospective, prospective and counterfactual - one might think of the Industrial Policy discourse as truly speculative, conjuring up the China shock that never was. Or perhaps one might better think of it as imagining a world in which a powerful China was no shock at all, but simply a defining fact of modern history. I love putting out Chartbook. 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The Beauty Of Settled Science
Commenters convinced me I made a subtle mis-step in my framing of Psychology Research Is Mostly Fine. My framing emphasized that social priming studies had failed to replicate, but that many other subfields of psychology hadn’t. This naturally led commenters to point to failed replications in other subfields. Although none of these were as bad as social priming, few or none were entirely problem-free. Instead of emphasizing the difference between social priming and other subfields, I should have emphasized the difference between settled science and novel research. Here are some of my favorite psychology findings: The brain is sculpted by reinforcement learning, and a key driver of this learning is a prediction-error-based algorithm located in the nucleus accumbens and implemented through dopamine. Psychedelic drugs exert their effects through 5-HT2A receptors, pointing to a role for these receptors in some sort of construct like the balance between priors and new evidence. Certain cognitive functions are localized to certain brain areas (for example, impulse control to the frontal lobes; linguistic structure to Broca’s area, linguistic meaning to Wernicke’s area. But injure one of these areas, or render a certain function useless (eg a blind person having no more use for their visual cortex), and these mappings can gradually shift - suggesting that neurons are general-purpose compute whose specialization is a contingent fact about convenience and efficiency rather than a necessity. Most personality traits and general capabilities are about 50% genetic and 50% random, with little role for family environment or childhood history, with a few notable exceptions like partisan preference. Recent research complicates this story, but the further you go from this basic picture, the gnarlier the chains of indirect causation you require. Neurons fire together in “brain waves”, whose exact frequency corresponds with the character of consciousness; These divide neurons into natural subpopulations and linked graphs. The gamma rhythm corresponds surprisingly well to items in conscious awareness. GABA receptors seem to be involved in something like relaxation. By hitting different GABA receptors in different ways, you can modulate the exact type of relaxation you produce. Hitting GABA-A directly is too powerful and can cause dangerous levels of sedation, but allosteric modulation of GABA is an incredibly fruitful strategy that underlies drugs from benzos to barbituates to alcohol. If you know your GABA-A subunits, you can target specific subtypes of relaxation; for example, Ambien hits GABA-A1 and induces sleep. Memory divides somewhat fuzzily into bins of immediate-sensory, short-term, and long-term, with separate retrieval and storage functions, and separate systems for declarative vs. procedural learning. These can be harmed selectively, usually by hippocampal injury, so that some patients can remember their life stories but not form new long-term memories, or learn new skills like bike-riding but not new facts. The exact substrate of memory is unclear but seems to involve new synaptic connections between neurons in at least some way. The ability of modern psychology and psychiatry to treat mental illness is real but limited. SSRIs work for half or slightly fewer than half of patients; antipsychotics work with extreme side effects; benzodiazpines work but produce addiction and tolerance in many (not all) people. Most supplements are stuck in Poor Quality Study Replication Crisis Hell, but melatonin and l-theanine stand out as especially promising. Psychotherapy works with moderate effect size, but (with a few exceptions) seems to be more about the relationship with the provider than the details of the therapy itself. Mental hospitalization can sometimes defuse immediate crises but work less well than mental hospitals would like, with some studies showing overall negative effects. Schizophrenia is mostly genetic, but risk also increases with prenatal infection (especially rubella) and obstetric complications; there is suggestive evidence for roles of social stress and drug use (with psychedelics and marijuana making things worse, and nicotine if anything making things better). Bipolar and schizophrenia are so closely linked on a pathophysiological level that it seems like they might be the same disease; on the clinical level, they do seem to follow two separate courses/prognoses but can sometimes surprise clinicians by eg someone who seemed condemned to permanent schizophrenia unexpectedly recovering. The brain’s native reinforcement learning algorithms cash out in the phenomena of classical and operant conditioning; different reinforcement schedules reinforce at different levels, which can be exploited by bad actors to make especially compelling products (eg slot machines). None of these are immune to doubt. A few are speculative; one or two are genuinely unorthodox. But they’re all a step above one p = 0.049 paper that might not replicate. If they get overturned, they’ll be overturned by the same sort of genuine scientific shift that replaced Ptolemy with Copernicus or Lamarck with Darwin, not some sort of sordid discovery about someone entering random numbers into a spreadsheet. In 2008, Eliezer Yudkowsky wrote about The Beauty Of Settled Science: If you only care about scientific issues that are controversial, you will end up with a head stuffed full of garbage. The media thinks that only the cutting edge of science is worth reporting on. How often do you see headlines like “General Relativity still governing planetary orbits” or “Phlogiston theory remains false”? So, by the time anything is solid science, it is no longer a breaking headline. “Newsworthy” science is often based on the thinnest of evidence and wrong half the time—if it were not on the uttermost fringes of the scientific frontier, it would not be breaking news. Scientific controversies are problems so difficult that even people who’ve spent years mastering the field can still fool themselves. That’s what makes for the heated arguments that attract all the media attention. Worse, if you aren’t in the field and part of the game, controversies aren’t even fun. Don’t be embarrassed to read elementary science textbooks, either. If you want to pretend to be sophisticated, go find a play to sneer at. If you just want to have fun, remember that simplicity is at the core of scientific beauty [...] A steady diet of science news is bad for you: You are what you eat, and if you eat only science reporting on fluid situations, without a solid textbook now and then, your brain will turn to liquid. Psychology isn’t centrally the new paper in Annals Of Recently-Breaking News saying that an n=5 study showing that large portion sizes increase support for terrorism. Psychology is centrally ideas like brain waves, GABA receptors, reinforcement learning, twin studies, and connectionism. People who think differently are worrying too much about BREAKING NEWS!!!, and should stop. The key distinction isn’t “recent research in social psychology” vs. “recent research in cognitive/bio/behavioral psychology”, as my essay last week unfortunately implied. It’s recent research in general vs. the deposit of settled science, battle-tested hypotheses, and carefully-earmarked speculation. And part of the reason social priming in particular was such a disaster was that it defied that heuristic, building itself up over hundreds of studies until it approached or even entered the pantheon of settled science - before collapsing (5-HTTLPR was also sort of like this). This isn’t a claim that settled science is always right - Freud was “settled science” for a long time - just that there’s an intuitive distinction between the level of credence you should have in the existence of power posing vs. the existence of Broca’s Area. (I compounded this error by calling the last post “Psychology Research Is Mostly Fine”, which suggested I was talking about the new research rather than the settled science. I actually meant to distinguish between research-psychology-the-field vs. clinical-psychology-aka-therapy, but this framing unintentionally pushed against the point I wanted to make) Some commenters on the previous article understood this point, but challenged its weight. It’s very cool, they said, to know how many neurons are in which brain lobe, but the main way that Psychology affected their lives was through bad clickbait studies used to buttress dumb policies; some p = 0.049 study says that exposure to microaggressions makes minorities’ brains shrivel into raisins, and now their company has to implement punitive DEI or be sued for hazardous work conditions. I won’t dispute this as an accurate description of how the sausage gets made, but it’s worth examining the trains of thought that connect this observation to a campaign against psychology in general: The dumb woke psychology was wrong and bad, and I don’t have good heuristics for distinguishing dumb woke psychology from other psychology, so I’m going to assume it’s all wrong and bad. The dumb woke psychology was wrong and bad; it seems useful to punish/discredit psychology as a whole to assist my campaign against it, so for propaganda purposes I will try to discredit psychology as a whole. To people in the first camp, my response is: come on, your heuristics aren’t that bad. “Microaggressions makes minorities’ brains shrivel up like raisins” is in the woke category; “the hippocampal theta rhythm seems to be associated with both memory and pathfinding, suggesting an unexpected yet surprisingly compelling relationship between the two” is in the not-woke category, don’t play dumb here. To people in the second camp, my response is: deliberately exaggerated propaganda campaigns are bad and this is a confession, not an excuse. Inability to view science through anything but a political lens was what got us into this problem; doubling down on it is a temporary solution but a recipe for permanent disaster. If you pronounce entire fields of science to be acceptable collateral damage in your campaign against bad political actors, you will alienate not just scientists but patients, clinicians, and general lovers of truth. Instead, you can say the thing you mean - that woke partisans shouldn’t try to occupy and exploit the otherwise-noble science of psychology for their own political gain - and wage the same campaign with a halo rather than a comic-book-villain goatee. From the font of oracular wisdom that is Weird Sun Twitter: [ Vessel Of Spirit@VesselOfSpirit i love you all conditionally but i love the good part of you unconditionally. even if it becomes a very small part 2:11 AM · Jan 22, 2015 1 Reply · 5 Reposts · 29 Likes ](https://x.com/VesselOfSpirit/status/558084551772471298) This is how I feel about psychology1, too, but with a touch more optimism. The good part of psychology is enormous, a hoard of endless treasures. You just have to look past the headlines! 1 To play devil’s advocate - should one always be so magnamious? Astrology? Phrenology? These seem different in that their entire orientation was flawed from the start; they didn’t simply fail to find the correct constellation-personality connections, the whole project of searching for connections between constellations and personality was doomed from the start. More difficult might be asking the same question about education research, which is notoriously bad. I don’t know enough about education research to know if there’s some settled science of correct and enlightening results lurking in the background beyond the day-to-day froth of poorly-conducted and politically-motivated studies. I think if it’s 90% bad, 10% good, it’s correct to call it bad as a compact way of communicating a useful truth; I think psychology is better than that, but admit it’s a tough judgment call.
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